ArticlePDF Available

Cross-Lagged Relationship between Physical Activity Time, Openness and Depression Symptoms among Adolescents: Evidence from China

Authors:

Abstract and Figures

The relationship between physical activity time, openness and depression symptoms among adolescents is a cutting-edge research direction in the field, yet it remains unclear. This study is based on a sample of 7924 students from a nationally representative China Education Panel Survey database and examines the bidirectional relationships between physical activity time, openness and depression symptoms among Chinese adolescents. Descriptive analysis showed that during the 7th and 8th grades, the average physical activity time decreased to less than one hour per day, accompanied by a decreasing trend in openness and a slight worsening in depression symptoms. Correlation analysis showed a significant negative correlation between physical activity time and depression symptoms, a significant positive correlation between physical activity time and openness, and a significant negative correlation between depression symptoms and openness. The results from cross-lagged models indicated a bidirectional relationship between physical activity time and openness, with physical activity time significantly positively predicting openness in the following year and openness significantly positively predicting physical activity time in the following year. In addition, depression symptoms had a unidirectional negative predictive effect on openness. The conclusions provide empirical evidence for education administration and schools to promote the physical and mental health development of adolescents worldwide.
Content may be subject to copyright.
ARTICLE
Cross-Lagged Relationship between Physical Activity
Time, Openness and Depression Symptoms among
Adolescents: Evidence from China
Xiaojie Cao
1
, Qinyu Zhang
2
and Xinqiao Liu
3,
*
1
Graduate School of Education, Peking University, Beijing, 100871, China
2
School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, China
3
School of Education, Tianjin University, Tianjin, 300350, China
*Corresponding Author: Xinqiao Liu. Email: xinqiaoliu@pku.edu.cn
Received: 14 February 2023 Accepted: 03 April 2023 Published: 10 August 2023
ABSTRACT
The relationship between physical activity time, openness and depression symptoms among adolescents is a cutting-edge research
direction in the eld, yet it remains unclear. This study is based on a sample of 7924 students from a nationally representative
China Education Panel Survey database and examines the bidirectional relationships between physical activity time, openness
and depression symptoms among Chinese adolescents. Descriptive analysis showed that during the 7th and 8th grades, the
average physical activity time decreased to less than one hour per day, accompanied by a decreasing trend in openness and a
slight worsening in depression symptoms. Correlation analysis showed a signicant negative correlation between physical
activity time and depression symptoms, a signicant positive correlation between physical activity time and openness, and a
signicant negative correlation between depression symptoms and openness. The results from cross-lagged models indicated a
bidirectional relationship between physical activity time and openness, with physical activity time signicantly positively
predicting openness in the following year and openness signicantly positively predicting physical activity time in the
following year. In addition, depression symptoms had a unidirectional negative predictive effect on openness. The conclusions
provide empirical evidence for education administration and schools to promote the physical and mental health development
of adolescents worldwide.
KEYWORDS
Physical activity time; depression; openness; adolescents
Introduction
Adequate physical activity time is essential for the
development of adolescentsphysical and mental health
[14]. Unfortunately, the reality of physical activities
globally is far from optimistic, particularly with regards to
insufcient physical activity time. More than 80% of
adolescents worldwide do not meet the World Health
Organization recommendation of one hour of moderate-to-
vigorous aerobic activity per day [5]. In Europe, only a
quarter of boys and 15% of girls reach the recommended
amount of time for physical activity [6]. The situation is
even worse in sub-Saharan Africa, where only 13.8% of
adolescents receive the recommended physical activity time
[7]. In China, nearly 85% of young people face a lack of
adequate physical activity [8], with only approximately one-
fth of students meeting the standard of one hour of
physical activity per day. In addition, their physical activity
levels tend to decrease as they get older [9]. Considering the
pressing issue of adolescents lacking sufcient physical
activity time and the importance of physical activity, it is
necessary to investigate the key factors that inuence
adolescentsphysical activity time.
Studies have suggested a close association between
physical activity time and depression symptoms [10]and
that physical activity may have potential benets for
ech
T
PressScience
DOI: 10.32604/ijmhp.2023.029365
This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted
use, distribution, and reproduction in any medium, provided the original work is properly cited.
depression symptoms [11]. Adolescents are alarmingly
susceptible to depression symptoms, with a sharp increase
in onset occurring around the age of 13 [1216]. The
global prevalence of depression in adolescents has reached
4.5% [17,18], and the rate of depression symptoms in
Chinese adolescents was 18.4% before 2000 and increased
to 26.3% after 2016 [19]. During the COVID-19 pandemic,
the overall prevalence of depression symptoms in children
and adolescents increased to 28.6% [20], which is related to
a decrease in physical activity time [21]. Moreover,
depression symptoms in adolescents can have numerous
adverse consequences [2225], signicantly increasing the
risk of depression relapse in adulthood [26]and,insevere
cases, leading to suicidal ideation and behavior [19].
Depression symptoms refer to a range of symptoms,
including low mood, decreased interest in activities and
appetite, which require clinical assessment for the diagnosis
of depression disorder [27], a mood disorder characterized
mainly by depressed mood and a range of severe
depression symptoms [28]. In this study, we measured
depression symptoms in adolescents using questionnaires.
Meanwhile, recent studies indicate that lower openness is a
signicant predictor of depression symptoms [2931]. In
the Big Five personality traits, openness mainly describes
traits of curiosity, open-mindedness, creativity and
emotional richness, and highly open individuals are capable
of employing creative coping strategies to address health
issues [32,33]. Research suggests that openness may
inuence health behavior choices [5] and therefore time
spent in physical activity. According to self-determination
theory, individuals engage in certain behaviors to achieve
intrinsic pleasure and satisfaction when driven by internal
motivation [34,35]. High openness individuals are more
likely to be internally motivated to engage in physical
activity and are likely to voluntarily increase their physical
activity time [36]. The principle of maturity in personality
traits also reveals that these traits undergo predictable
changes from adolescence [37], suggesting that openness
may have a predictive relationship with both physical
activity time and depression symptoms in adolescents.
Unfortunately, although physical activity time, openness
and depression symptoms have been proven correlated, the
direction of their interaction remains unclear. The aim of
this study is to investigate the cross-lagged relationship
between physical activity time, openness and depression
symptoms in Chinese adolescents using nationally
representative longitudinal survey data. Clarifying the
bidirectional relationship between these variables is
valuable in providing guidance for the promotion of
adolescent physical and mental health.
Literature Review
Physical activity time and openness
Physical activity time is correlated with openness [36,3841],
with most studies suggesting a positive relationship between
the two [42,43]. Caille et al. found that openness plays a
protective role in initiating and maintaining physical activity
[43]. Individuals with higher openness tend to be more
curious and enjoy exploring new ideas and experiences,
which may contribute to seeing physical activity as a way to
experience new things [44]. In addition, self-determination
theory posits that higher openness is associated with lower
external regulation [36]. The motivational model suggests
that openness has a positive impact on health motivation,
increasing the likelihood of participating in physical activity
[34]. However, a consensus has not yet been reached. Based
on a meta-analysis of 33 studies, Rhodes et al. found no
association between the personality traits of openness to
experience/intellect and physical activity [45]. Lodewyk et al.
discovered that women with higher openness were more
likely to feel anxious and have low self-efcacy during
physical activity, thereby diminishing the positive impact of
physical activity [46]. Gacek et al.s survey of Polish and
Spanish students found a positive correlation between
openness and physical activity only among Polish students
[47]. It is worth noting that the relationship between
physical activity time and openness might not be
unidirectional [48]. Most studies are based on cross-
sectional data, and there is little discussion of the
bidirectional relationship between physical activity time and
openness [43]. Data from adults show that openness has a
signicant effect on physical activity, but the effect of
physical activity on openness is insignicant [42].
Furthermore, the relevant literature is mainly based on
Western contexts such as Europe and the United States, and
most of the evidence comes from adult populations. This
encourages us to empirically analyze the bidirectional
relationship between these variables in a Chinese context
among adolescents.
Physical activity time and depression symptoms
Prior literature has revealed that prolonged moderate-
intensity physical activity can help alleviate depression
symptoms in adolescents [49]. Evidence from Canada and
Iran suggests that regular physical activity time may reduce
symptoms of depression by increasing condence and self-
esteem [50,51]. Moderate to vigorous aerobic exercise for
prolonged periods has been shown to reduce the incidence
of depression in adolescents [4]. Six months of moderate-
intensity aerobic exercise has been shown to signicantly
increase gray matter volume in the prefrontal cortex and
reduce symptoms of depression [52]. A longitudinal study
of 4,257 adolescents in the United States found that a one-
hour daily increase in light physical activity between the
ages of 12 and 16 was associated with an 8%11% reduction
in depression symptom scores [53]. However, some studies
have produced inconsistent results and suggested that
physical activity may have no clinical benet on depression
symptoms [54,55]. The literature has focused more on the
unidirectional relationship between physical activity time
and depression symptoms in adolescents [1], but the effect
of depression symptoms on physical activity time has
received little attention. Therefore, the bidirectional
relationship between physical activity time and depression
symptoms remains unclear and merits further investigation.
1010 IJMHP, 2023, vol.25, no.9
Depression symptoms and openness
Previous literature has posited that there is a correlation
between openness and depression symptoms [31,56,57].
Several studies have found that people with lower openness
show more symptoms of depression [2931]. People with
lower levels of openness are less likely to derive pleasure
from social relationships and activities [58] and lack
appreciation for the arts, creativity, and curiosity about
different emotional experiences and new ideas. This may
reect their lower ability to cope with depression symptoms
and other negative emotions [59,60], thus making them
more vulnerable to depression symptoms. At the cognitive
level, rigid, closed-minded individuals (low openness) are
less able to adapt to change than exible, open-minded
individuals (high openness), making them more vulnerable
to depression symptoms [61]. However, current ndings are
not unambiguous. For example, Zhao et al., Klein et al., and
Hayward et al. argue that openness and depression
symptoms are not related [58,62,63]. Depression symptoms
can have a transient effect on personality traits [6467],
particularly in children and adolescents [68]. In recent years,
there has been increasing support for the malleability of
personality traits [69,70]. This may be due to the joint
inuence of genetic and environmental factors on openness,
with specic factors promoting changes in openness [68].
Longitudinal studies have shown that the average and
individual levels of personality traits can change during
adulthood, suggesting that personality is dynamic and can
change across the lifespan [66]. Openness tends to increase
in early adulthood, remain stable in mid-adulthood, and
then decline in old age [71,72]. However, most current
research focuses on the relationship between openness and
depression symptoms in adults, so more evidence is needed
to clarify the bidirectional relationship between depression
symptoms and openness in adolescents, particularly in
relation to developmental characteristics during adolescence.
Research hypothesis
In conclusion, discussions regarding the relationship between
physical activity time, openness and depression symptoms
among adolescents have yet to reach a consensus, leaving
space for further exploration. In particular, there is a lack of
empirical evidence based on the Chinese adolescent context.
Additionally, adolescents around the age of 13 (typically the
7th grade of junior high school in China) are at a critical
stage of mental health and personality development
[12,13,16,37]. It is important to identify and address
potential problems at this stage in a timely and proactive
manner to promote positive future development. The
research aims to investigate the bidirectional relationship
between adolescentsphysical activity time, openness, and
depression symptoms in China. Using nationally
representative longitudinal survey data, we empirically
examine the cross-lagged relationship between physical
activity time, openness and depression symptoms among
Chinese adolescents. Based on the literature and the purpose
of our research, we formulate the following hypotheses:
Hypothesis 1: Adolescentsphysical activity time and
openness decline while depression symptoms increase
during the 7th and 8th grades.
Hypothesis 2: There is a signicant negative correlation
between physical activity time and depression symptoms, a
signicant positive correlation between physical activity time
and openness, and a signicant negative correlation between
depression symptoms and openness. Moreover, these
variables are hypothesized to demonstrate bidirectional
relationships.
Methods
Participants
The data we use come from the China Education Panel Survey
(CEPS) database. The survey was designed and implemented
by the National Survey Research Center (NSRC) at Renmin
University of China and is a large-scale, nationally
representative tracking survey project. Currently, data from
the two phases of 20132014 and 20142015 have been
publicly released. The CEPS takes the 20132014 academic
year as its baseline, with the 7th grade of junior high school
and the 9th grade of junior high school as its starting point
for the survey. Using a multistage probability proportional
to size (PPS) and whole class sampling design, with the
average educational level of the population and the
proportion of mobile population as stratifying variables, 28
county-level units (counties, districts, and cities) were
randomly selected from across the country as survey sites.
The implementation of the survey is based on schools, and
112 schools and 438 classes were randomly selected from
the selected county-level units. All students in the selected
classes were included in the sample. The rst follow-up
survey was conducted in 20142015, but only students in
grade 7 at baseline were followed up (i.e., they were in grade
8 in 20142015). Therefore, this study selected the same
batch of students who participated in both surveys as
research objects while deleting samples with missing values
and nally retained a sample of 7924 students for empirical
analysis. The mean age of the sample at baseline was 13.514
years (SD = 0.684) according to the data collected.
Measures
Physical activity time
In this study, the average daily physical activity time (in
minutes) of adolescents was obtained by using the CEPS
student questionnaire How much time on average did you
spend on the following extracurricular activities from
Monday to Friday last week?and How much time on
average did you spend on the following extracurricular
activities last weekend?. Based on actual situations, we
removed an average daily physical activity time of more
than 300 min as an outlier.
Depression symptoms
In this study, depression symptoms were measured by
averaging the scores obtained from four questions in the
CEPS student questionnaire: Did you feel blue in the past
seven days?,Did you feel unhappy in the past seven
days?,Did you feel that life was meaningless in the past
seven days?, and Did you feel sad in the past seven days?.
IJMHP, 2023, vol.25, no.9 1011
Each question was rated on a 5-point scale ranging from 1=
neverto 5 = always. A higher average score indicates a
higher level of depression symptoms among the students.
The reliability coefcients αof the depression symptoms in
the rst and second year were 0.811 and 0.889, respectively.
Openness
In this study, the level of openness among students was
measured using the CEPS student questionnaire. The
following items were included: I was able to express myself
clearly,I was able to give quick responses, and Iwas
curious about new stuff. Each item was evaluated using a
4-point scale (ranging from 1 = strongly disagreeto 4=
strongly agree). The average of the scores of the three items
was taken, with a higher average indicating a higher level of
openness among the students. The reliability coefcients α
of the openness in the rst and second year were 0.596 and
0.593, respectively.
Data analysis
First, we conducted a descriptive statistical analysis on the
variables of physical activity time, openness, and depression
symptoms. Next, we explored the bivariate correlation
between these variables using Pearson correlation analysis.
Finally, we used the cross-lagged panel model to empirically
investigate the bidirectional relationships between physical
activity time, openness, and depression symptoms in
Chinese adolescents. The cross-lagged panel model is
typically employed to examine the relationship between two
variables, X and Y, measured at different points in time (T1
and T2, respectively, where T1 precedes T2). Specically, it
examines the relationships between X at T1 and Y at T2,
and Y at T1 and X at T2. The results can reveal the mutual
relationship between the variables and their directionality,
thereby providing insight into how these variables interact
over time.
Results
Descriptive statistics and correlation analysis
Table 1 shows the mean, standard deviation, minimum,
maximum, skewness, and kurtosis scores of physical activity
time, openness and depression symptoms among Chinese
adolescents. During the 7th and 8th grades, the average
daily physical activity time of the adolescents decreased
from 50.886 to 44.253 min, indicating a gradual decrease in
the time spent on physical activity. In terms of depression
symptoms, the average score increased from 2.008 to 2.145
between the 7th and 8th grades, indicating a slight increase
in their level of depression symptoms. In terms of openness,
the average score was 3.233 in grade 7 and 2.89 in grade 8.
In summary, based on the descriptive data, the trend of
physical activity time and openness among adolescents is
decreasing, while their depression symptoms level is
increasing, indicating a detrimental trend in the level of
physical activity and mental health among Chinese
adolescents, which deserves great attention and immediate
improvement.
TABLE 1
Descriptive statistics of physical activity time, depression symptoms and openness
Variables Year N M SD Min Max Skewness Kurtosis
Physical activity time Year 1 7924 50.886 54.736 0 300 1.56 5.884
Year 2 7924 44.253 35.845 0 300 2.939 16.004
Depression symptoms Year 1 7924 2.008 0.792 1 5 1.024 4.48
Year 2 7924 2.145 0.923 1 5 0.896 3.69
Openness Year 1 7924 3.233 0.576 1 4 1.045 4.713
Year 2 7924 2.89 0.647 1 4 0.233 2.836
TABLE 2
Correlation analysis of physical activity time, depression symptoms and openness
Year Variables 1 2 3 4 5 6
Year 1
1. Physical activity time 1.000
2. Depression symptoms 0.058* 1.000
3. Openness 0.112* 0.144* 1.000
Year 2
4. Physical activity time 0.150* 0.031* 0.064* 1.000
5. Depression symptoms 0.031* 0.424* 0.064* 0.034* 1.000
6. Openness 0.088* 0.233* 0.186* 0.077* 0.319* 1.000
Note: *1% signicance level.
1012 IJMHP, 2023, vol.25, no.9
Table 2 shows the correlation coefcients between
physical activity time, openness and depression symptoms
among adolescents. In each year, a signicant negative
correlation (p< 0.01) was found between physical activity
time and depression symptoms, a signicant positive
correlation (p< 0.01) was found between physical activity
time and openness, and a signicant negative correlation (p
< 0.01) was found between openness and depression
symptoms. As seen, there is a relatively stable negative
correlation between physical activity time and depression
symptoms and between depression symptoms and openness,
as well as a relatively stable positive correlation between
physical activity time and openness. In addition, signicant
positive correlations (p< 0.01) were found between physical
activity time in different years, between depression
symptoms levels in different years, and between openness
levels in different years. This suggests that there is a certain
degree of stability in physical activity time, openness and
depression symptoms among Chinese adolescents over the
two-year period of 7th and 8th grade.
Cross-lagged model
According to the characteristics of the variables, we build a
cross-lagged model, as shown in Fig. 1. A two-wave cross-
lagged model was constructed to examine the relationship
between the variables of physical activity time, openness and
depression symptoms. Fig. 1 shows the model structure for
the full sample. The model t indices are favorable, with
RMSEA = 0.036, 90% CI = [0.034, 0.038]; CFI = 0.975, TLI
= 0.967; SRMR = 0.021. As illustrated in Fig. 1,the
standardized autoregressive path coefcient for physical
activity time was 0.139 (p< 0.01); for openness, it was 0.188
(p< 0.01); and for depression symptoms, it was 0.491 (p<
0.01). After controlling for autoregression, adolescents
physical activity time in the rst year signicantly positively
predicted their openness in the second year (standardized
path coefcient = 0.046; p< 0.01), and adolescents
openness in the rst year signicantly positively predicted
their physical activity time in the second year (standardized
path coefcient = 0.073; p< 0.01). Additionally, adolescents
depression symptoms in the rst year signicantly
negatively predicted their openness in the second year
(standardized path coefcient = 0.269; p< 0.01), but the
effect of openness in the rst year on depression symptoms
in the second year was not signicant (standardized path
coefcient = 0.010; p> 0.1). Adolescentsphysical activity
time in the rst year was found to have a negative effect on
depression symptoms in the second year, but it was not
signicant (standardized path coefcient = 0.006; p> 0.1).
Meanwhile, depression symptoms in the rst year had a
negative effect on physical activity time in the second year,
but this was also not signicant (standardized path
coefcient = 0.009; p> 0.1). In conclusion, there is a
bidirectional relationship between physical activity time and
openness and a unidirectional predictive relationship
between depression symptoms and openness among
Chinese adolescents.
Discussion
This study examined a cross-lagged relationship between
physical activity time, openness and depression symptoms
FIGURE 1. Cross-lagged model of physical activity time, depression symptoms and openness.
IJMHP, 2023, vol.25, no.9 1013
among Chinese adolescents based on survey data collected
from the same cohort of adolescents during 7th and 8th
grade. The conclusion adds new evidence from the Chinese
context to the literature and deepens our understanding of
the relationship between the aforementioned variables.
According to the results of the descriptive analysis, the
average physical activity time among Chinese adolescents in
grades 7 and 8 has decreased, falling short of the World
Health Organizations recommendation of one hour of
physical activity per day. This trend is consistent with
previous ndings [57], which indicate that four out of ve
adolescents worldwide do not meet the minimum
requirements for physical activity and that physical activity
time decreases with age [72]. This may be due to the
increasing levels of tiredness, laziness, and lack of time as
adolescents get older [73]. Meanwhile, the average level of
openness among Chinese adolescents showed a decreasing
trend, which contrasts with the results of a study of
Estonian adolescents aged 12 to 18 [74]. This may be due to
the nonlinear development of openness among adolescents,
with opposing dynamic changes at different stages, with
most improvements in openness occurring in the later
stages of adolescence [75]. Furthermore, there are signicant
cultural differences in the development of adolescent
openness [76], and our study presents the changes in
openness among Chinese adolescents in a cultural context.
In addition, there has been a slight increase in depression
symptoms among Chinese adolescents in grades 7 and 8,
which may be related to pubertal problems and the
increasing burden of education [7779]. These phenomena
deserve close attention from education administration,
schools and parents.
The results of the correlation analysis indicate that, rst,
there is a signicant negative correlation between physical
activity time and depression symptoms among Chinese
adolescents. This is consistent with previous ndings [10,11]
and has been conrmed in both clinical and nonclinical
samples of depression [11,80]. Second, there is a signicant
positive correlation between physical activity time and
openness. This nding is consistent with prior literature
[42,43]. However, it is in contrast to a previous meta-
analysis that found no correlation between physical activity
and openness [45], which may be because the previous
study mostly involved adults and the correlation between
physical activity and openness varies regionally [47]. Third,
our study also found a signicant negative correlation
between depression symptoms and openness, which is
consistent with previous research and suggests that higher
levels of openness may be associated with improved mental
health [56,57].
This study further claried the bidirectional relationship
between physical activity time, openness and depression
symptoms among Chinese adolescents by using cross-lagged
models.
First, physical activity time and openness had a
reciprocal predictive relationship. Adolescentsphysical
activity time could signicantly positively predict openness
in the following year, and openness could signicantly
positively predict physical activity time in the following
year. Our ndings align with previous studies by Caille et al.
and Allen et al., who found that openness has a
unidirectional effect on physical activity time [42,43].
Importantly, our research provides further evidence for the
reciprocal predictive relationship between physical activity
time and openness. Individuals with higher openness are
more likely to initiate and maintain physical activity [43],
which might be because they are more accepting of new
ideas and experiences and are more willing to try new
things, making them more likely to initiate physical activity
as a way of experiencing new things [44]. This conclusion
concurs with the pertinent outlooks espoused by both self-
determination theory [3436] and the overarching
motivational model [34], implying that individuals
possessing a higher degree of openness exhibit greater self-
regulation and a more potent drive toward promoting
health, thereby obviating the need for excessive external
intervention to sustain their physical tness regimen. These
individuals also exhibit a greater proclivity to initiate and
engage in physical activity of their own accord. Moreover,
our study reveals that physical activity time also has a
positive predictive effect on openness, which is consistent
with a longitudinal study of adults and elderly individuals
[48], which may be because physical activity can mitigate
cognitive decline [81], increase cognitive exibility [82] and
thus mitigate the decline in openness in adulthood. It is
worth noting that openness is more likely to change in
adolescents than in adults [68], and our conclusions clearly
show that increasing time spent in physical activity at this
stage of life may help to increase openness, which in turn
may play a protective role in preventing depression
symptoms.
Second, we found that depression symptoms can
negatively predict openness, with depression symptoms
signicantly negatively predicting openness in the following
year but openness not predicting depression symptoms in
the following year. Previous research has typically assumed
that openness is relatively stable and unaffected by
symptoms of depression [64], but increasingly more recent
studies have suggested that personality is not xed and that
changes in life stressors and signicant social roles and
relationships can have reshaping effects on personality [63].
The cross-lagged model results further highlight that
depression symptoms are a signicant predictive signal that
can have detrimental effects on personality development,
such as future openness, among adolescents [63].
Therefore, it is crucial to pay special attention to
adolescentsmental health development and to avoid the
long-term negative consequences of depression. Previously,
some studies have suggested that lower openness may
predict the onset of depression symptoms [2931], but our
ndings are inconsistent with these conclusions, as
openness does not have statistically signicant negative
predictive effects on depression symptoms among Chinese
adolescents.
Third, we did not nd a bidirectional relationship
between time spent in physical activity and depression
symptoms. This nding is consistent with the two previous
randomized control trials, which suggested that physical
activity does not have a statistically signicant effect on
depression symptoms [54,55]. This may be because regular
1014 IJMHP, 2023, vol.25, no.9
engagement in physical activity alone does not prevent
depression symptoms, and only an appropriate increase in
physical activity can alleviate depressive symptoms [83,84].
However, our conclusion does not agree with some previous
studies [4951,53,83]. These previous studies have mainly
focused on the relationship between nonmindful physical
activity (e.g., brisk walking, running) and depression, and
there have been few systematic studies of the relationship
between mindful physical activity (e.g., qigong, tai chi, yoga)
and depression. However, compared with popular
nonmindful physical activities prevalent in the West,
Chinese adolescents are more likely to be exposed to
mindful physical activities [85,86], and the effects of such
activities on depression symptoms need to be further
investigated.
In summary, the conclusions of this study have practical
and theoretical implications. On a practical level, education
administration and schools should establish conditions for
physical activity, encourage appropriate extension of
adolescentsphysical activity time, strengthen monitoring of
their emotional status, and promote their overall healthy
development. For instance, education administration should
implement policies that ensure adolescents receive sufcient
daily physical education in schools and promote openness
during key stages of personality development. Schools
should regularly organize mental health courses for
adolescents, take prompt action with those exhibiting
symptoms of depression, and strengthen cooperation with
parents to focus on fostering openness, thereby promoting
the physical and mental health of adolescents. On a
theoretical level, this study provides new evidence that sheds
light on the direction and nature of the relationship between
adolescents physical activity time, openness, and depression
symptoms. The explanation for the bidirectional
relationship between these variables has not yet reached a
sufcient level of theoretical depth. Future research should
propose a more specic theoretical framework to facilitate a
more in-depth understanding of the dynamic relationship
between these variables.
Limitations
First, due to database limitations, our current analysis of the
bidirectional relationship between physical activity time,
openness and depression symptoms is based on two waves
of data. Future access to additional longitudinal data could
further explore the dynamic changes in these variables over
more waves. Additionally, the data used in this study is
from the CEPS which was conducted seven to eight years
ago, with only the rst and second waves currently available.
However, given the ongoing nature of the project, we will
endeavor to update the study with the latest data as soon as
it is ofcially released.
Second, the relationship between physical activity time
and depression symptoms may be inuenced by the
intensity of physical activity. This study did not differentiate
between the intensity of physical activity due to limitations
in the database and questionnaire items, which may have
underestimated the effect of physical activity time on
depression symptoms.
Third, future researchers could consider using additional
data to further rene their analysis of the heterogeneous
effects that different aspects of openness may have on
depression symptoms levels [61].
Fourth, the measures used in our study were based on
studentsself-report questionnaire scores, which may
introduce some measurement error. In the future, interviews
with studentsparents, teachers, and peers will be conducted
to validate our ndings.
Conclusions
First, the levels of physical activity and psychological
wellbeing of Chinese adolescents show an unfavorable trend.
During grades 7 and 8, the average amount of physical
activity among Chinese adolescents decreased, falling below
the daily minimum of one hour. Meanwhile, their openness
decreased, and there was a marked upward trend in the
prevalence of depression symptoms.
Second, there is a signicant negative correlation
between physical activity time and depression symptoms
and a signicant positive correlation between physical
activity time and openness and between depression
symptoms and openness among Chinese adolescents.
Third, there is a bidirectional relationship between
physical activity time and openness among Chinese
adolescents, with physical activity in grade 7 signicantly
predicting openness in grade 8 and openness in grade 7
signicantly predicting physical activity in grade 8. No
bidirectional relationship was found between physical
activity and depression symptoms, and there was a negative
unidirectional predictive relationship between depression
symptoms and openness.
Funding Statement: The authors received no specic funding
for this study.
Author Contributions: Conceptualization, X.C. and X.L.;
methodology, X.C.; writingoriginal draft preparation, X.C.,
Q.Z. and X.L.; writingreview and editing, X.C., Q.Z. and
X.L. All authors have read and agreed to the published
version of the manuscript.
Conicts of Interest: The authors declare that they have no
conicts of interest to report regarding the present study.
References
1. Dale LP, Vanderloo L, Moore S, Faulkner G. Physical activity and
depression, anxiety, and self-esteem in children and youth: an
umbrella systematic review. Ment Health Phys Act [Internet].
2019;16(4):6679. doi:10.1016/j.mhpa.2018.12.001.
2. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT.
Effect of physical inactivity on major non-communicable
diseases worldwide: an analysis of burden of disease and life
expectancy. Lancet [Internet]. 2012;380(9838):21929. doi:10.
1016/S0140-6736(12)61031-9.
3. Rebar AL, Stanton R, Geard D, Short C, Duncan MJ,
Vandelanotte C. A meta-meta-analysis of the effect of physical
activity on depression and anxiety in non-clinical adult
IJMHP, 2023, vol.25, no.9 1015
populations. Psychol Rev [Internet]. 2015;9(3):36678. doi:10.
1080/17437199.2015.1022901.
4. Rose LT, Soundy A. The positive impact and associated
mechanisms of physical activity on mental health in
underprivileged children and adolescents: an integrative review.
Behav Sci [Internet]. 2020;10(11):171. doi:10.3390/bs10110171.
5. Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon
G, et al. World Health Organization 2020 guidelines on physical
activity and sedentary behaviour. Brit J Sport Med [Internet].
2020;54(24):145162. doi:10.1136/bjsports-2020-102955.
6. Messing S, Rutten A, Abu-Omar K, Ungerer-Rohrich U,
Goodwin L, Burlacu I, et al. How can physical activity be
promoted among children and adolescents? A systematic
review of reviews across settings. Front Public Health
[Internet]. 2019;7:55. doi:10.3389/fpubh.2019.00055.
7. Adebusoye B, Chattopadhyay K, Ekezie W, Phalkey R, Leonardi-
Bee J. Association of built environment constructs and physical
activity among children and adolescents in Africa: a systematic
review and meta-analysis. JBI Evid Synth [Internet].
2022;20(10):241044. doi:10.11124/JBIES-21-00295.
8. Guthold R, Stevens GA, Riley LM, Bull FC. Global trends in
insufcient physical activity among adolescents: a pooled
analysis of 298 population-based surveys with 1.6 million
participants. Lancet Child Adolesc [Internet]. 2020;4(1):2335.
doi:10.1016/S2352-4642(19)30323-2.
9. General Administration of Sports of China. Vigorously develop
leisure sports and improve youth physical tness level. Available
from: https://www.sport.gov.cn/n20001280/n20745751/n20767239/
c21761637/content.html. [Accessed 2016].
10. Zhang J, Zheng S, Hu Z. The effect of physical exercise on
depression in college students: the chain mediating role of self-
concept and social support. Front Psychol [Internet].
2022;13:841160. doi:10.3389/fpsyg.2022.841160.
11. Kvam S, Kleppe CL, Nordhus IH, Hovland A. Exercise as a
treatment for depression: a meta-analysis. J Affect Disorders
[Internet]. 2016;202:6786. doi:10.1016/j.jad.2016.03.063.
12. Frost A, Hoyt LT, Chung AL, Adam EK. Daily life with
depressive symptoms: gender differences in adolescents
everyday emotional experiences. J Adolesc [Internet].
2015;43(1):13241. doi:10.1016/j.adolescence.2015.06.001.
13. Costello EJ, Mustillo S, Erkanli A, Keeler G, Angold A.
Prevalence and development of psychiatric disorders in
childhood and adolescence. Arch Gen Psychiat [Internet].
2003;60(8):83744. doi:10.1001/archpsyc.60.8.837.
14. Cao XJ, Liu XQ. Articial intelligence-assisted psychosis risk
screening in adolescents: practices and challenges. World J
Psychiatr [Internet]. 2022;12(10):128797. doi:10.5498/wjp.v12.
i10.1287.
15. Liu XQ, Cao XJ, Gao WJ. Does low self-esteem predict anxiety
among Chinese college students? Psychol Res Behav Ma
[Internet]. 2022;15:148187.
16. Thapar A, Collishaw S, Pine DS, Thapar AK. Depression in
adolescence. Lancet [Internet]. 2012;379(9820):105667. doi:10.
1016/S0140-6736(11)60871-4.
17. Gao W, Luo Y, Cao X, Liu X. Gender differences in the
relationship between self-esteem and depression among college
students: a cross-lagged study from China. J Res Pers
[Internet]. 2022;97(3):104202. doi:10.1016/j.jrp.2022.104202.
18. Wang X, Cai ZD, Jiang WT, Fang YY, Sun WX, Wang X.
Systematic review and meta-analysis of the effects of exercise
on depression in adolescents. Child Adol Psych Men
[Internet]. 2022;16(1):16. doi:10.1186/s13034-022-00453-2.
19. Li JY, Li J, Liang JH, Qian S, Jia RX, Wang YQ, et al. Depressive
symptoms among children and adolescents in China: a
systematic review and meta-analysis. Med Sci Monit [Internet].
2019;25:745970. doi:10.12659/MSM.916774.
20. Chen J, Yang K, Cao Y, Du Y, Wang N, Qu M. Depressive
symptoms among children and adolescents in China during
the coronavirus disease-19 epidemic: a systematic review and
meta-analysis. Front. Psychiatry [Internet]. 2022;13:870346.
doi:10.3389/fpsyt.2022.870346.
21. Neville RD, Lakes KD, Hopkins WG, Tarantino G, Draper CE,
Beck R, et al. Global changes in child and adolescent physical
activity during the COVID-19 pandemic: a systematic review
and meta-analysis. JAMA Pediatr [Internet]. 2022;176(9):886
94. doi:10.1001/jamapediatrics.2022.2313.
22. Fletcher JM. Adolescent depression and educational attainment:
results using sibling xed effects. Health Econ [Internet].
2010;19(7):85571. doi:10.1002/hec.1526.
23. Hasler G, Pine DS, Kleinbaum DG, Gamma A, Luckenbaugh D,
Ajdacic V, et al. Depressive symptoms during childhood and
adult obesity: the Zurich Cohort Study. Mol Psychiatr
[Internet]. 2005;10(9):84250. doi:10.1038/sj.mp.4001671.
24. Liu XQ, Guo YX, Xu Y. Risk factors and digital interventions for
anxiety disorders in college students: stakeholder perspectives.
World J Clin Cases [Internet]. 2023;11(7):144257. doi:10.
12998/wjcc.v11.i7.1442.
25. Keenan-Miller D, Hammen CL, Brennan PA. Health outcomes
related to early adolescent depression. J Adolescent Health
[Internet]. 2007;41(3):25662. doi:10.1016/j.jadohealth.2007.03.015.
26. Rutter M, Kim-Cohen J, Maughan B. Continuities and
discontinuities in psychopathology between childhood and
adult life. J Child Psychol Psyc [Internet]. 2006;47(34):276
95. doi:10.1111/j.1469-7610.2006.01614.x.
27. Tolentino JC, Schmidt SL. DSM-5 criteria and depression
severity: implications for clinical practice. Front Psychiatry
[Internet]. 2018;9:450. doi:10.3389/fpsyt.2018.00450.
28. Gotlib IH, Joormann J. Cognition and depression: current status
and future directions. Annu Rev Clin Psychol [Internet].
2010;6(1):285312. doi:10.1146/annurev.clinpsy.121208.131305.
29. Naragon-Gainey K, Watson D. Consensually dened facets of
personality as prospective predictors of change in depression
symptoms. Assessment [Internet]. 2014;21(4):387403. doi:10.
1177/1073191114528030.
30. Weber K, Giannakopoulos P, Bacchetta JP, Quast S, Herrmann
FR, Delaloye C, et al. Personality traits are associated with
acute major depression across the age spectrum. Aging Ment
Health [Internet]. 2012;16(4):47280. doi:10.1080/13607863.
2011.630375.
31. Zuroff DC. Depressive personality styles and the ve-factor
model of personality. J Pers Assess [Internet]. 1994;63(3):453
72. doi:10.1207/s15327752jpa6303_5.
32. McCrae RR, John OP. An introduction to the ve-factor model
and its applications. J Pers [Internet]. 1992;60(2):175215.
doi:10.1111/j.1467-6494.1992.tb00970.x.
33. Watson D, Hubbard B. Adaptational style and dispositional
structure: coping in the context of the ve-factor model. J Pers
[Internet]. 1996;64(4):73774. doi:10.1111/j.1467-6494.1996.
tb00943.x.
34. Ingledew DK, Markland D. The role of motives in exercise
participation. Psychol Health [Internet]. 2008;23(7):80728.
doi:10.1080/08870440701405704.
35. Ryan RM, Deci EL. Self-determination theory and the facilitation
of intrinsic motivation, social development, and well-being.
1016 IJMHP, 2023, vol.25, no.9
Am Psychol [Internet]. 2000;55(1):6878. doi:10.1037/
0003-066X.55.1.68.
36. Ingledew DK, Markland D, Sheppard KE. Personality and self-
determination of exercise behaviour. Pers. Individ. Differ
[Internet]. 2004;36(8):192132. doi:10.1016/j.paid.2003.08.021.
37. McAdams DP, Olson BD. Personality development: continuity
and change over the life course. Annu Rev Psychol [Internet].
2010;61(1):51742. doi:10.1146/annurev.psych.093008.100507.
38. Kekalainen T, Sipila S, Saajanaho M, Kokko K. The role of
personality traits in leisure time physical activity during
COVID-19 pandemic. Pers Individ Differ [Internet].
2021;182(18):111080. doi:10.1016/j.paid.2021.111080.
39. Sutin AR, Stephan Y, Luchetti M, Artese A, Oshio A, Terracciano
A. The ve-factor model of personality and physical inactivity: a
meta-analysis of 16 samples. J Res Pers [Internet]. 2016;63:228.
doi:10.1016/j.jrp.2016.05.001.
40. Villaron C, Marqueste T, Eisinger F, Cappiello MA, Therme P,
Cury F. Links between personality, time perspective, and
intention to practice physical activity during cancer treatment:
an exploratory study. Psycho-Oncology [Internet].
2017;26(4):53136. doi:10.1002/pon.4194.
41. Wilson KE, Dishman RK. Personality and physical activity: a
systematic review and meta-analysis. Pers Individ Differ
[Internet]. 2015;72(1):23042. doi:10.1016/j.paid.2014.08.023.
42. Allen MS, Magee CA, Vella SA, Laborde S. Bidirectional
associations between personality and physical activity in
adulthood. Health Psychol [Internet]. 2017;36(4):3326. doi:10.
1037/hea0000371.
43. Caille P, Stephan Y, Sutin AR, Luchetti M, Canada B, Heraud N,
et al. Personality and change in physical activity across 310
years. Psychol Health [Internet]. 2022;15(1):121. doi:10.1080/
08870446.2022.2092866.
44. McCrae RR, John OP. An introduction to the ve-factor model
and its applications. J Pers [Internet]. 1992;60(2):175215.
doi:10.1111/j.1467-6494.1992.tb00970.x.
45. Rhodes RE, Smith NE. I. Personality correlates of physical
activity: a review and meta-analysis. Brit J Sport Med
[Internet]. 2006;40(12):958965. doi:10.1136/bjsm.2006.028860.
46. Lodewyk KR. Associations between trait personality, anxiety,
self-efcacy and intentions to exercise by gender in high school
physical education. Educ Psychol-UK [Internet].
2017;38(4):487501. doi:10.1080/01443410.2017.1375081.
47. Gacek M, Kosiba G, Wojtowicz A, Lopez Sanchez GF, Szalewski
J. Personality-related determinants of physical activity among
Polish and Spanish physical education students. Front Psychol
[Internet]. 2021;12:792195. doi:10.3389/fpsyg.2021.792195.
48. Stephan Y, Sutin AR, Terracciano A. Physical activity and
personality development across adulthood and old age:
evidence from two longitudinal studies. J Res Pers [Internet].
2014;49(1):17. doi:10.1016/j.jrp.2013.12.003.
49. Gu J. Physical activity and depression in adolescents: evidence
from China family panel studies. Behav Sci [Internet].
2022;12(3):71. doi:10.3390/bs12030071.
50. Esmaeilzadeh S. The association between depressive symptoms
and physical status including physical activity, aerobic and
muscular tness tests in children. Environ Health Prev
[Internet]. 2015;20(6):43440. doi:10.1007/s12199-015-0484-0.
51. Wu X, Kirk SF, Ohinmaa A, Veugelers P. Health behaviours,
body weight and self-esteem among grade ve students in
Canada. Springerplus [Internet]. 2016;5(1):1099. doi:10.1186/
s40064-016-2744-x.
52. Peng W, Chen Z, Yin L, Jia Z, Gong Q. Essential brain structural
alterations in major depressive disorder: a voxel-wise meta-
analysis on rst episode, medication-naive patients. J Affect
Disorders [Internet]. 2016;199(1):11423. doi:10.1016/j.jad.
2016.04.001.
53. Kandola A, Lewis G, Osborn DP, Stubbs B, Hayes JF. Depressive
symptoms and objectively measured physical activity and
sedentary behaviour throughout adolescence: a prospective
cohort study. Lancet Psychiatry [Internet]. 2020;7(3):26271.
doi:10.1016/S2215-0366(20)30034-1.
54. Chalder M, Wiles NJ, Campbell J, Hollinghurst SP, Searle A,
Haase AM, et al. A pragmatic randomised controlled trial to
evaluate the cost-effectiveness of a physical activity
intervention as a treatment for depression: the treating
depression with physical activity (TREAD) trial. Health
Technol Asses [Internet]. 2012;16(10):1164.
55. Krogh J, Saltin B, Gluud C, Nordentoft M. The DEMO trial: a
randomized, parallel-group, observer-blinded clinical trial of
strength versus aerobic versus relaxation training for patients
with mild to moderate depression. J Clin Psychiat [Internet].
2009;70(6):790800. doi:10.4088/JCP.08m04241.
56. Ferguson E, Bibby PA. Openness to experience and all-cause
mortality: a meta-analysis and requivalent from risk ratios and
odds ratios. Br J Health Psychol [Internet]. 2012;17(1):85102.
doi:10.1111/j.2044-8287.2011.02055.x.
57. Goodwin RD, Friedman HS. Health status and the ve-factor
personality traits in a nationally representative sample.
Health Psychol [Internet]. 2006;11(5):64354. doi:10.1177/
1359105306066610.
58. Klein DN, Kotov R, Bufferd SJ. Personality and depression:
explanatory models and review of the evidence. Annu Rev
Clin Psychol [Internet]. 2011;7(1):26995. doi:10.1146/
annurev-clinpsy-032210-104540.
59. Oddone CG, Hybels CF, McQuoidDR, SteffensDC. Social support
modies the relationship between personality and depressive
symptoms in older adults. Am J Geriatr Psychiatry [Internet].
2011;19(2):12331. doi:10.1097/JGP.0b013e3181f7d89a.
60. Duberstein PR, Heisel MJ. Personality traits and the reporting of
affective disorder symptoms in depressed patients. J Affect
Disorders [Internet]. 2007;103(1):16571. doi:10.1016/j.jad.
2007.01.025.
61. Khoo S, Simms LJ. Links between depression and openness and
its facets. Personal Ment Health [Internet]. 2018;12(3):20315.
doi:10.1002/pmh.1417.
62. Hayward RD, Taylor WD, Smoski MJ, Steffens DC, Payne ME.
Association of ve-factor model personality domains and facets
with presence, onset, and treatment outcomes of major
depression in older adults. American Journal of Geriatric
Psychiatry [Internet]. 2013;21(1):8896. doi:10.1016/j.jagp.
2012.11.012.
63. Zhao H, Shi H, Ren Z, He M, Li X, Li YY, et al. Gender and age
differences in the associations between personality traits and
depressive symptoms among Chinese adults: based on China
family panel study. Health Soc Care Comm [Internet].
2022;30(6):e5482e5494. doi:10.1111/hsc.13972.
64. Griens AM, Jonker K, Spinhoven P, Blom MB. The inuence of
depressive state features on trait measurement. J Affect
Disorders [Internet]. 2002;70(1):959. doi:10.1016/
S0165-0327(00)00371-2.
65. Karsten J, Penninx BW, Riese H, Ormel J, Nolen WA, Hartman
CA. The state effect of depressive and anxiety disorders
on big ve personality traits. J Psychiatr Res [Internet].
2012;46(5):64450. doi:10.1016/j.jpsychires.2012.01.024.
IJMHP, 2023, vol.25, no.9 1017
66. Magee CA, Heaven PC, Miller LM. Personality change predicts
self-reported mental and physical health. J Pers [Internet].
2013;81(3):32434. doi:10.1111/j.1467-6494.2012.00802.x.
67. Roberts BW, Luo J, Briley DA, Chow PI, Su R, Hill PL. A
systematic review of personality trait change through
intervention. Psychol Bull [Internet]. 2017;143(2):11741.
doi:10.1037/bul0000088.
68. Allen MS, Greenlees I, Jones M. Personality in sport: a
comprehensive review. Int Rev Sport Exer P [Internet].
2013;6(1):184208. doi:10.1080/1750984X.2013.769614.
69. Roberts BW, Walton KE, Viechtbauer W. Patterns of mean-level
change in personality traits across the life course: a meta-analysis
of longitudinal studies. Psychol Bull [Internet]. 2006;132(1):1
25. doi:10.1037/0033-2909.132.1.1.
70. Srivastava S, John OP, Gosling SD, Potter J. Development of
personality in early and middle adulthood: set like plaster or
persistent change? J Pers Soc Psychol [Internet].
2003;84(5):104153. doi:10.1037/0022-3514.84.5.1041.
71. Roberts BW, Mroczek D. Personality trait change in adulthood.
Curr Dir Psychol Sci [Internet]. 2008;17(1):315. doi:10.1111/j.
1467-8721.2008.00543.x.
72. Specht J, Egloff B, Schmukle SC. Stability and change of
personality across the life course: the impact of age and major
life events on mean-level and rank-order stability of the big
ve. J Pers Soc Psychol [Internet]. 2011;101(4):86282. doi:10.
1037/a0024950.
73. Reichert FF, Barros AJ, Domingues MR, Hallal PC. The role of
perceived personal barriers to engagement in leisure-time
physical activity. Am J Public Health [Internet].
2007;97(3):5159. doi:10.2105/AJPH.2005.070144.
74. Allik J, Laidra K, Realo A, Pullmann H. Personality development
from 12 to 18 years of age: changes in mean levels and structure
of traits. Eur J Pers [Internet]. 2004;18(6):44562. doi:10.1002/
per.524.
75. Akhmetova OA, Slobodskaya ER. Stability and dynamics of
personal characteristics in adolescence. Vop Psikhol+
[Internet]. 2016;2016(2):44.
76. Reese E, Chen Y, McAnally HM, Myftari E, Neha T, Wang Q,
et al. Narratives and traits in personality development among
New Zealand Maori, Chinese, and European adolescents. J
Adolesc [Internet]. 2014;37(5):72737.
77. Abdel-Khalek AM. Age and gender differences in depression
among Kuwaiti children and adolescents (N = 5437) ages 10 to
18 years. J Affect Disorders [Internet]. 2006;91:S65S101.
78. Cao X, Ji S, Liu X. Educational inequity and skill formation
differences experienced by oating rural students in
the process of urbanization: a case study from a school
perspective. Educ Sci [Internet]. 2023;13(2):131. doi:10.3390/
educsci13020131.
79. Liu X, Gao W, Chen L. Does pre-service teacher preparation
affect studentsacademic performance? Evidence from China.
Educ Sci [Internet]. 2023;13(1):69. doi:10.3390/educsci13010069.
80. Piko BF, Keresztes N. Physical activity, psychosocial health and
life goals among youth. J Commun Health [Internet].
2006;31(2):13645. doi:10.1007/s10900-005-9004-2.
81. Kramer AF, Erickson KI, Colcombe SJ. Exercise, cognition,
and the aging brain. Eur J Appl Physiol [Internet].
2006;101(4):123742. doi:10.1152/japplphysiol.00500.2006.
82. Colcombe S, Kramer AF. Fitness effects on the cognitive function
of older adults: a meta-analytic study. Psychol Sci [Internet].
2003;14(2):12530. doi:10.1111/1467-9280.t01-1-01430.
83. Crone D. Physical activity and mental health. A life in the day
[Internet]. 2003;7(2):238.
84. Liu XQ, Guo YX, Zhang WJ, Gao WJ. Inuencing
factors, prediction and prevention of depression in college
students: a literature review. World J Psychiatry [Internet].
2022;12(7):86073. doi:10.5498/wjp.v12.i7.860.
85. Tsang HW, Chan EP, Cheung WM. Effects of mindful and non-
mindful exercises on people with depression: a systematic review.
Br J Clin Psychol [Internet]. 2008;47(3):30322. doi:10.1348/
014466508X279260.
86. Yin J, Dishman RK. The effect of Tai Chi and Qigong practice on
depression and anxiety symptoms: a systematic review and meta-
regression analysis of randomized controlled trials. Ment Health
Phys Act [Internet]. 2014;7(3):13546. doi:10.1016/j.mhpa.2014.
08.001.
1018 IJMHP, 2023, vol.25, no.9
... Two specific AIassisted screening methods, chatbots, and large-scale social media data analysis, can be utilized by schools to support students [87,88]. In addition, studies have shown that physical activity time has a significant negative correlation with depression symptoms [89]. Therefore, education administration and schools should create favorable conditions for physical activity, encourage extended physical activity time for adolescents, and closely monitor their emotional adaptation. ...
... While both vulnerability and scar models have been extensively discussed in relation to self-esteem and depression, their applicability to the relationship between self-esteem and anxiety lacks robust empirical evidence (Sowislo & Orth, 2013). Anxiety and depression are common mental health problems among university students (Kauhanen et al., 2023;Cao, 2023;McCloud et al., 2023;Cao et al., 2023). Studies suggest a high comorbidity between anxiety and depression in both clinical and nonclinical samples, with similarities in certain risk factors (Beck et al., 2001;Kessler et al., 2005;Mendels et al., 1972;Sowislo & Orth, 2013). ...
Article
Full-text available
Previous research has reported that self-esteem is associated with anxiety and academic self-efficacy. However, the direction of the relationship between these variables remains poorly understood, particularly in the context of university students. Based on longitudinal survey data, this study examined the predictive role of self-esteem in the interaction between anxiety and academic self-efficacy among Chinese university students. Using a cross-lagged model analysis, the results revealed a significant negative prediction from self-esteem to subsequent anxiety, thereby supporting the vulnerability model. Self-esteem also significantly positively predicted subsequent academic self-efficacy. No reverse effects were found between self-esteem and anxiety or between self-esteem and academic self-efficacy. This study provides evidence from the Chinese educational context and highlights the predictive ability of high self-esteem for low anxiety and high academic self-efficacy.
... C ollege represents a critical period for individuals to achieve identity role transitions and psychological maturity (Sawyer et al., 2018;Cage et al., 2021;Yikealo et al., 2018;Liu et al., 2023a), often coinciding with an increased incidence of mental health problems (Kessler et al., 2005;Cao et al., 2023). Among these factors, increasing stress has become a significant manifestation of deteriorating mental health in young people (Ross et al., 1999;Pedrelli et al., 2015;Deatherage et al., 2014). ...
Article
Full-text available
Perceived stress and general self-efficacy are important issues closely related to the mental health and academic performance of college students. Previous studies have explored the correlation between perceived stress and general self-efficacy, but the understanding of the reciprocal effects of these two factors is still limited. Based on two-wave longitudinal data, this study investigated the bidirectional relationship between perceived stress and general self-efficacy in a sample of Chinese college students. The correlation results showed that perceived stress was significantly negatively correlated with general self-efficacy. Furthermore, by cross-lagged analysis, it was found that perceived stress can significantly negatively predict subsequent general self-efficacy and that general self-efficacy can significantly negatively predict subsequent perceived stress. Bidirectional reduction effects between perceived stress and general self-efficacy are observed among Chinese college students. The results emphasize the necessity of timely stress intervention for college students and the establishment of measures to enhance general self-efficacy.
... 3 Worldwide, mental disorders contribute to about 13% of the burden of disease among adolescents between the ages of 10-19 years. 2 The academic demands, reduced physical activities in the adolescent stage, and developmental (physical, psychological, and behavioral) changes that occur in senior high school (SHS) students (usually aged 13-19 years) make them more susceptible to social and mental or psychological disorders. [4][5][6] Depression among SHS students (secondary level of education) is a significant public health issue considering its negative effect on academic performance, quality of life, and the risk of substance abuse. [7][8][9] However, compared to physical health, mental health and mental health care are usually given less priority. ...
Article
Full-text available
Objectives Depression is one of the most widely reported mental health issues that affect adolescents globally. However, there is a dearth of data on its prevalence and associated factors among senior high school students in Ghana, since previous studies have focused more on adult populations. This can hinder policies needed to champion mental health and mental health care in senior high schools. Hence, this study sought to assess the prevalence of depression and associated factors among senior high school students in Ghana. Methods An analytical cross-sectional study involving 289 students at the Manya Krobo Senior High School was conducted from December 2022 to February 2023. The students were selected using a two-stage random sampling method. A questionnaire was used to collect data on sociodemographics and individual characteristics. The primary outcome was depression, and this was assessed using the Patient Health Questionnaire-9. Summary statistics were presented as means, frequencies, and percentages. Multivariate logistic regression was used to identify factors associated with depression and odds ratios presented with 95% confidence intervals. Statistical significance was considered at p-value < 0.05. Results The mean age of the students was 16.6 (±1.2) with a range of 14–20 years. Over a quarter (26.3%) of the students reported financial difficulties. The prevalence of depression among the students was 68.9%. The factors associated with depression in this study were female sex (adjusted odds ratio: 1.74, 95% confidence interval: 1.01–2.97), age (adjusted odds ratio: 1.41, 95% confidence interval: 1.10–1.81), history of chronic health condition (adjusted odds ratio: 3.74, 95% confidence interval: 1.36–10.25), and financial difficulties (adjusted odds ratio: 2.31, 95% confidence interval: 1.15–4.63). Conclusion This study shows that depression is rife among students at the Manya Krobo Senior High School, Manya Krobo District, Ghana. These findings call for pragmatic interventions such as strengthening counseling units and professional mental health services to ameliorate the impact of depression on the lives of students.
Article
Full-text available
Background The prevalence of mental health issues has been gradually increasing among college students in recent years. Improvements in mental health can be achieved through changes in daily behavior and the use of psychological counseling. This study aims to investigate the relationship between health-promoting behaviors and negative emotions among college freshmen as they enter the university. It also examines the impact of various sub-dimensions of health-promoting behaviors and other factors on the negative emotions (stress, anxiety, and depression) experienced by college freshmen. Methods Using the Negative Emotion and Health-Promoting Behavior scales, a 7-month longitudinal study was conducted on 4,252 college freshmen, with collection of data at two time points (T1: November 12, 2021; T2: June 17, 2022). Out of this longitudinal study, 3,632 valid samples were obtained. This research aimed to explore the association and impact between negative emotions and the level of health-promoting behaviors among college students during their time at the university. Results ① There were significant differences in the levels of health-promoting behaviors and negative emotions over the course of 7 months (P < 0.05). Health-promoting behaviors were found to have a significant negative correlation with negative emotions (P < 0.05). ② Negative emotions at T1 significantly negatively predicted health-promoting behaviors at T2 (β = −0.11, P < 0.01), while health-promoting behaviors at T1 significantly negatively predicted negative emotions at T2 (β = −0.12, P < 0.001). ③ Stress management (β = −0.104, P < 0.05; β = −0.087, P < 0.05), self-actualization (β = −0.282, P < 0.01; β = −0.260, P < 0.05), health responsibility (β = −0.057, P < 0.05; β = −0.088, P < 0.05), and interpersonal relations (β = 0.068, P < 0.01; β = 0.138, P < 0.05) were important components in improving stress and anxiety. Self-actualization (β = −0.437, P < 0.001), exercise (β = 0.048, P < 0.001), nutrition (β = 0.044, P < 0.001), and interpersonal relations (β = 0.065, P < 0.001) were important components in improving depression. ④ Gender, place of household registration, and whether the individual is the only child were significant factors affecting negative emotions in college freshmen. Conclusion The level of health-promoting behaviors is an important indicator for assessing the negative emotional states of college freshmen. Enhancing health-promoting behaviors across various dimensions can help alleviate different types of negative emotions. Gender, place of household registration, and being the only child are significant factors that influence negative emotions.
Article
Full-text available
Adolescents are considered one of the most vulnerable groups affected by suicide. Rapid changes in adolescents’ physical and mental states, as well as in their lives, significantly and undeniably increase the risk of suicide. Psychological, social, family, individual, and environmental factors are important risk factors for suicidal behavior among teenagers and may contribute to suicide risk through various direct, indirect, or combined pathways. Social-emotional learning is considered a powerful intervention measure for addressing the crisis of adolescent suicide. When deliberately cultivated, fostered, and enhanced, self-awareness, self-management, social awareness, interpersonal skills, and responsible decision-making, as the five core competencies of social-emotional learning, can be used to effectively target various risk factors for adolescent suicide and provide necessary mental and interpersonal support. Among numerous suicide intervention methods, school-based interventions based on social-emotional competence have shown great potential in preventing and addressing suicide risk factors in adolescents. The characteristics of school-based interventions based on social-emotional competence, including their appropriateness, necessity, cost-effectiveness, comprehensiveness, and effectiveness, make these interventions an important means of addressing the crisis of adolescent suicide. To further determine the potential of school-based interventions based on social-emotional competence and better address the issue of adolescent suicide, additional financial support should be provided, the combination of social-emotional learning and other suicide prevention programs within schools should be fully leveraged, and cooperation between schools and families, society, and other environments should be maximized. These efforts should be considered future research directions.
Article
Full-text available
As one of the most famous large language models, ChatGPT has great potential for application in physical education. It can provide personalized exercise plans, a variety of exercise options, and interactive support. The integration of ChatGPT into the teaching process can promote college students’ participation in physical activities and improve their mental health while expanding the traditional teaching environment and promoting the reform of traditional teaching methods. However, the application of ChatGPT faces challenges and obstacles in physical education. To make full use of ChatGPT in physical education, it can be combined with wearable devices and sports equipment to enhance the efficiency of interactions with users. Relevant policies are urgently needed to avoid the improper use of users’ data.
Article
Full-text available
Previous literature has focused mainly on the correlation between self-rated health and the Big Five personality traits. However, less is known about the bidirectional relationship between self-rated health and the Big Five personality traits among adolescents, leading to an insufficient understanding of the directional nature of their relationship. Based on a longitudinal survey database, this study empirically examines the bidirectional relationship between self-rated health and the Big Five personality traits among 7967 adolescents in China. Using a two-wave cross-lagged model, the findings emphasize the role of self-rated health in predicting the Big Five personality traits. Specifically, self-rated health significantly positively predicts subsequent extraversion, agreeableness, openness, and conscientiousness, whereas self-rated health significantly negatively predicts subsequent neuroticism. In addition, neuroticism significantly negatively predicts self-rated health, and openness significantly positively predicts self-rated health. The present study provides substantial evidence for the relationship between self-rated health and the Big Five personality traits in the Chinese context and contributes to a deeper understanding of the interplay between these variables.
Article
Full-text available
The severity of the current global mental health situation and the importance of maintaining psychological well-being call for more powerful, convenient, and efficient solutions for addressing psychological issues and relieving mental stress. Physical activity not only effectively improves physical fitness and reduces negative emotions such as anxiety and depression but also increases the improvement of psychological health and sense of well-being. At the same time, physical activity interventions for mental health have unique advantages, including reducing the side effects of psychological interventions and increasing necessity, convenience, and cost-effectiveness, as well as flexible adaptability across multiple methods, groups, and age ranges, providing stronger support for relieving psychological stress and addressing psychological issues. Although physical activity is an important intervention measure in relieving psychological stress, its value and role in mental health care seem to have not yet received sufficient attention, and its potential remains to be further revealed. Given the significant advantages and effectiveness of physical activity in mental health intervention practices, it is necessary to stimulate its potential in relieving psychological stress through various means in future studies to better safeguard the public’s physical and mental health. Developing guidelines for physical activity for improved mental health, enhancing organic integration with other inter-vention measures, and providing necessary respect, encouragement, and support are important directions to consider.
Article
Full-text available
The worldwide prevalence of anxiety disorders among college students is high, which negatively affects countries, schools, families, and individual students to varying degrees. This paper reviews the relevant literature regarding risk factors and digital interventions for anxiety disorders among college students from the perspectives of different stakeholders. Risk factors at the national and societal levels include class differences and the coronavirus disease 2019 pandemic. College-level risk factors include the indoor environment design of the college environment, peer relationships, student satisfaction with college culture, and school functional levels. Family-level risk factors include parenting style, family relationship, and parental level of education. Individual-level risk factors include biological factors, lifestyle, and personality. Among the intervention options for college students' anxiety disorders, in addition to traditional cognitive behavioral therapy, mindfulness-based interventions, psychological counseling, and group counseling, digital mental health interventions are increasingly popular due to their low cost, positive effect, and convenient diagnostics and treatment. To better apply digital intervention to the prevention and treatment of college students' anxiety, this paper suggests that the different stakeholders form a synergy among themselves. The nation and society should provide necessary policy guarantees, financial support, and moral and ethical supervision for the prevention and treatment of college students' anxiety disorders. Colleges should actively participate in the screening and intervention of college students' anxiety disorders. Families should increase their awareness of college students' anxiety disorders and take the initiative to study and understand various digital intervention methods. College students with anxiety disorders should actively seek psychological assistance and actively accept and participate in digital intervention projects and services. We believe that in the future, the application of methods such as big data and artificial intelligence to improve digital interventions and provide individualized treatment plans will become the primary means of preventing and treating anxiety disorders among college students.
Article
Full-text available
In the process of urbanization in China, the migrant worker population entering cities is an important force in building cities. The children of these migrant workers who do not have the qualifications to participate in college entrance examinations in the city generally become floating rural students. The education problem of the children of the migrant worker population entering the city is still insufficiently considered, and the education inequality and skill formation defects faced by floating rural students are worth paying attention to. This study selected P Middle School in Daxing District of Beijing as a case and took “input–process–output” as the thread to investigate and analyze the school’s source of students and enrollment situation, survival strategy and student graduation destination. It tried to present the original ecology of the school’s survival situation from the micro level and further interpret the education inequality and skill formation of floating rural students from the perspective of the school’s survival. Through the case study, we have found that the academic achievement of students in privately run schools for migrant workers’ children is not high. The level of teachers in these schools is low, and teacher turnover is high, resulting in a significant gap in the quality of education compared to public schools. The main source of funding for these schools is donations from members of the community, and government funding is inadequate. Floating rural students in privately run schools for migrant workers’ children have poor graduation destinations, with a low percentage of students going on to key high schools, and some students are forced to become returning children, facing institutional barriers to upward mobility through education. These aspects have led to education inequality and possible defects in the skill formation of floating rural students. We hope to clarify and grasp the actual situation of privately run schools for migrant workers’ children and put forward corresponding policy recommendations to help bridge the educational inequity in China.
Article
Full-text available
Pre-service teacher preparation (PSTP) is generally considered a significant predictor of student achievements. This paper adopted a multi-tier linear model to estimate the PSTP effects on student performance by taking teachers and students in the high schools of Haidian District, Beijing, China, as the research population. It used exploratory factor analysis to classify PSTP into two categories: content knowledge preparation and pedagogical content knowledge preparation; and described the status of PSTP in three subjects: Chinese, mathematics, and chemistry. The study found differences in PSTP by subject. In Chinese, teachers’ content knowledge preparation significantly negatively affected student performance, and their pedagogical content knowledge preparation significantly positively influenced student performance. In mathematics, PSTP had no significant effect on student performance. In chemistry, teachers’ pedagogical content knowledge preparation had a significantly negative effect on student performance. Based on the findings of the empirical study, the study proposes further identifying PSTP’s role in student performance by subject, strengthening the focus on pre-service preparation skills in recruiting Chinese and chemistry teachers, and developing a more suitable system for teacher selection and training.
Article
Full-text available
Artificial intelligence-based technologies are gradually being applied to psych-iatric research and practice. This paper reviews the primary literature concerning artificial intelligence-assisted psychosis risk screening in adolescents. In terms of the practice of psychosis risk screening, the application of two artificial intelligence-assisted screening methods, chatbot and large-scale social media data analysis, is summarized in detail. Regarding the challenges of psychiatric risk screening, ethical issues constitute the first challenge of psychiatric risk screening through artificial intelligence, which must comply with the four biomedical ethical principles of respect for autonomy, nonmaleficence, beneficence and impartiality such that the development of artificial intelligence can meet the moral and ethical requirements of human beings. By reviewing the pertinent literature concerning current artificial intelligence-assisted adolescent psychosis risk screens, we propose that assuming they meet ethical requirements, there are three directions worth considering in the future development of artificial intelligence-assisted psychosis risk screening in adolescents as follows: nonperceptual real-time artificial intelligence-assisted screening, further reducing the cost of artificial intelligence-assisted screening, and improving the ease of use of artificial intelligence-assisted screening techniques and tools.
Article
Full-text available
The high prevalence of depression among college students has a strong negative impact on individual physical and mental health, academic development, and interpersonal communication. This paper reviewed the extant literature by identifying nonpathological factors related to college students' depression, investigating the methods of predicting depression, and exploring nonpharmaceutical interventions for college students' depression. The influencing factors of college students' depression mainly fell into four categories: biological factors, personality and psychological state, college experience, and lifestyle. The outbreak of coronavirus disease 2019 has exacerbated the severity of depression among college students worldwide and poses grave challenges to the prevention and treatment of depression, given that the coronavirus has spread quickly with high infection rates, and the pandemic has changed the daily routines of college life. To predict and measure mental health, more advanced methods, such as machine algorithms and artificial intelligence, have emerged in recent years apart from the traditional commonly used psychological scales. Regarding nonpharmaceutical prevention measures, both general measures and professional measures for the prevention and treatment of college students' depression were examined in this study. Students who experience depressive disorders need family support and personalized interventions at college, which should also be supplemented by professional interventions such as cognitive behavioral therapy and online therapy. Through this literature review, we insist that the technology of identification, prediction, and prevention of depression among college students based on big data platforms will be extensively used in the future. Higher education institutions should understand the potential risk factors related to college students' depression and make more accurate screening and prevention available with the help of advanced technologies.
Article
Full-text available
Purpose: This study aimed to investigate the longitudinal relationship between anxiety and self-esteem among college students. Participants and methods: A total of 2473 Chinese college students were tracked, with their anxiety and self-esteem levels collected annually over the four academic years. The study employed a four-wave random intercept cross-lagged panel model to examine the prospective relationship between anxiety and self-esteem. Results: The anxiety levels were negatively associated with self-esteem over campus life. Results of the four-wave cross-lagged panel model revealed that low self-esteem maintained having subsequent negative impacts on students' anxiety levels, while the effects became progressively stronger over the four academic years. Meanwhile, no significant prospective effects were identified of anxiety levels on self-esteem. Conclusion: The study confirmed self-esteem as one of the leading contributors to anxiety for college students and emphasized the importance of nourishing the self-esteem of students to alleviate their anxiety issues and improve their mental health at college.
Article
Objective: The objective of this review was to synthesize the association between built environment constructs and physical activity among children and adolescents in Africa. Introduction: Previous reviews have found that several built environment constructs, such as residential density, crime safety, and availability of physical activity facilities and infrastructure, are associated with physical activity in children and adolescents; however, these reviews have tended to focus on non-African countries. Therefore, this systematic review synthesized the association between the built environment and physical activity among children and adolescents in Africa. Inclusion criteria: This systematic review included comparative observational studies that assessed the relationship between built environmental constructs on physical activity among children and adolescents (between the ages of five and 19 years) in Africa. Methods: Comprehensive electronic searches of MEDLINE, Embase, Web of Science, CINAHL, Web of Science, PsycINFO, Scopus, SPORTDiscus, EThOS, and ProQuest Dissertations and Theses from inception to 22 October 2021 were conducted to identify relevant published and unpublished studies. Two reviewers independently screened papers, assessed the quality of the included studies using the JBI standard critical appraisal tool, and extracted data using a pre-piloted form. Where possible, data were synthesized using random effects meta-analyses, with effect sizes reported as mean differences (MD) with 95% confidence intervals (CI). The Grading of Recommendations Assessment, Development and Evaluations (GRADE) was used to assess the certainty of the findings. Results: Of the 10,706 identified records, six cross-sectional studies were included which comprised 4628 children and adolescents. Three of the studies had a high-quality score of ≥7 out of 8. Seven built environment constructs were reported within the included studies namely, residential density, street connectivity, crime safety, availability of physical activity facilities and infrastructure, walkability, esthetics, and traffic safety. Three of the constructs were assessed with objective measures. Results from individual studies found significant associations between physical activity and objective measure of traffic safety (MD 2.63 minutes; 95% CI 0.16 to 5.1; one study) and an objective measure of crime safety (MD 2.72 minutes; 95% CI 0.07 to 5.37; one study). No significant associations were found between active transportation and any of the built environment constructs. The GRADE evidence for all of the assessed constructs was either low (the built environment constructs may lead to little or no difference in physical activity or active transportation) or very low (it was uncertain whether the built environment constructs affect physical activity). Conclusion: In African settings, the evidence base for the association between built environment constructs and physical activity is limited, with no consistent evidence of an association. Therefore, further high-quality studies should be conducted before firm conclusions can be drawn. Systematic review registration number: PROSPERO CRD42019133324.
Article
This study aims to explore the associations between personality traits and depressive symptoms among Chinese adults and analyse the gender and age differences in the associations. A national representative sample of 28,628 adults aged 18 and above were selected from the 2018 China Family Panel Studies (CFPS) data. The short version of the Big Five Inventory (CBF‐PI‐15) and the Center for Epidemiologic Studies Depression (CES‐D 8) were used to measure personality traits and depressive symptoms respectively. Binary logistic regression models were employed to analyse the associations between personality traits and depressive symptoms in the whole participants, different age groups and genders respectively. After adjustment, higher levels of conscientiousness, extraversion and agreeableness were related to lower level of depressive symptoms, while higher levels of openness and neuroticism were related to higher level of depressive symptoms (p < 0.05). A significant interaction between gender and conscientiousness on depressive symptoms was found (interaction p = 0.005), and the association between conscientiousness and depressive symptoms was stronger in males than females (p < 0.001). Significant interactions between age and conscientiousness (interaction p = 0.007), agreeableness (interaction p = 0.001) on depressive symptoms were found respectively. Moreover, the associations of conscientiousness and agreeableness with depressive symptoms were strongest among old group, followed by middle‐aged group, and then young group (p < 0.05). In conclusion, conscientiousness, extraversion and agreeableness had negative associations with depressive symptoms, while openness and neuroticism had positive associations with depressive symptoms. The negative association between conscientiousness and depressive symptoms was stronger among males than females, and the negative associations of conscientiousness and agreeableness with depressive symptoms were strongest among old group, followed by middle‐aged group, and then young group.
Article
Importance: Numerous physical distancing measures were implemented to mitigate the spread of the COVID-19 virus, which could have negatively affected child and adolescent physical activity levels. Objectives: To conduct a systematic review and meta-analysis of the literature that used validated measures to document changes in child and adolescent physical activity during the COVID-19 pandemic and to estimate whether changes in physical activity differed between participant-level, contextual, and methodological moderators. Data sources: PubMed, PsycInfo, SPORTDiscus, Web of Science, Scopus, CINAHL, and MEDLINE were searched (from January 1, 2020, to January 1, 2022). A total of 1085 nonduplicate records were retrieved. Study selection: Studies were included if they reported (1) changes in the duration of physical activity at any intensity for children or adolescents (age ≤18 years) comparing before and during the COVID-19 pandemic using validated physical activity measurement tools and were (2) from general population samples, (3) peer-reviewed, and (4) published in English. Data extraction and synthesis: A total of 126 articles underwent full-text review. Data were analyzed using a random-effects meta-analysis, which was conducted in January 2022. Main outcomes and measures: Change in the duration of engagement in physical activity at any intensity comparing before and during COVID-19. Results: Twenty-two studies including 46 independent samples and 79 effect sizes from 14 216 participants (median age, 10.5 years; range, 3-18 years) were included. The percentage change in the duration of engagement in total daily physical activity from before to during COVID-19 was -20% (90% CI, -34% to -4%). Moderation analyses revealed that changes were larger for higher-intensity activities (-32%; 90% CI, -44% to -16%), corresponding to a 17-minute reduction in children's daily moderate-to-vigorous physical activity levels. The reduction in physical activity was also larger for samples located at higher latitudes (37%; 90% CI, -1% to 89%) and for studies with a longer duration between physical activity assessments (25%; 90% CI, -0.5% to 58%). Conclusions and relevance: Children and adolescents have experienced measurable reductions in physical activity during the COVID-19 pandemic. Findings underscore the need to provide bolstered access to support and resources related to physical activity to ensure good health and social functioning among children and adolescents during pandemic recovery efforts.
Article
Objective : To examine the association between personality traits, defined by the Five-Factor Model, and the initiation and termination of physical activity across adulthood. Design : Longitudinal analysis of participants from nine samples (N > 28,000). Main Outcome Measures : Physical activity status at follow-up Results : A random-effect meta-analysis revealed that higher conscientiousness, extraversion, and openness were related to a higher likelihood of initiation of physical activity over time among individuals who were physically inactive at baseline and to a lower risk of termination of physical activity among those who were physically active at baseline. In contrast, higher neuroticism was associated with a lower probability of initiation of physical activity and a higher likelihood of termination over time. Although not hypothesised, agreeableness was also associated with better physical activity outcomes over time. Conclusion : This study provides the largest and the longest evidence of a replicable association between personality and change in physical activity status. Personality may motivate both the initiation and termination of physical activity.