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Feasibility, acceptability and outcomes at a 12-month follow-up of a novel community-based intervention to prevent type 2 diabetes in adults at high risk: Mixed methods pilot study

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Abstract

Lifestyle interventions can prevent type 2 diabetes (T2D) in adults with impaired glucose tolerance. In a mixed methods pilot study, we aimed to assess the feasibility, acceptability and outcomes at a 12-month follow-up of a behavioural intervention for adults at risk of T2D. Adults aged 45-65 years with a Finnish Diabetes Risk Score (FINDRISC) ≥11. The intervention was delivered in leisure and community settings in a local authority that ranks in the 10 most socioeconomically deprived in England. A 10-week supported programme to promote increased physical activity (PA), healthy eating and weight loss was delivered by fitness trainers as twice-weekly group PA or cookery sessions, each followed by behavioural counselling with support to 12 months. We assessed feasibility and acceptability of the intervention, and change in behavioural and health-related outcomes at 6 and 12 months. From 367 registers of interest, 218 participants were recruited to the programme with baseline mean (SD): age 53.6 (6) years, FINDRISC 13.9 (3.1), body mass index 33.5 (5.9) kg/m(2), waist circumference 108.1 (13.7) cm, PA levels (self-report): daily total 49.1 (5.9) metabolic-equivalent (MET) h/day. Follow-up at 12 months was completed by 134 (61%) participants, with an estimated mean (95% CI) change from baseline in weight -5.7 (-7.8 to -2.8); -2.8 (-3.8 to -1.9) kg, waist circumference -7.2 (-9.2 to -5.2); -6.0 (-7.1 to -5.0) cm, and PA level 7.9 (5.8 to 10.1); 6.7 (5.2 to 8.2) MET h/day equivalent, for men and women, respectively (from covariance pattern mixed models). Participants reported an enjoyable, sociable and supportive intervention experience. Participants' views indicated a high level of intervention acceptability. High retention and positive outcomes at 12 months provide encouraging indications of the feasibility and potential effectiveness of the intervention. A definitive trial of this intervention is warranted.
Feasibility, acceptability and outcomes
at a 12-month follow-up of a novel
community-based intervention to
prevent type 2 diabetes in adults at high
risk: mixed methods pilot study
Linda Penn,
1,2
Vicky Ryan,
1
Martin White
1,2
To cite: Penn L, Ryan V,
White M. Feasibility,
acceptability and outcomes at
a 12-month follow-up of a
novel community-based
intervention to prevent type 2
diabetes in adults at high
risk: mixed methods pilot
study. BMJ Open 2013;3:
e003585. doi:10.1136/
bmjopen-2013-003585
Prepublication history for
this paper is available online.
To view these files please
visit the journal online
(http://dx.doi.org/10.1136/
bmjopen-2013-003585).
Received 11 July 2013
Revised 23 September 2013
Accepted 9 October 2013
1
Institute of Health and
Society, Newcastle University,
Newcastle upon Tyne, UK
2
Fuse, UKCRC Centre for
Translational Research in
Public Health
Correspondence to
Linda Penn;
linda.penn@ncl.ac.uk
ABSTRACT
Objectives and design: Lifestyle interventions can
prevent type 2 diabetes (T2D) in adults with impaired
glucose tolerance. In a mixed methods pilot study, we
aimed to assess the feasibility, acceptability and
outcomes at a 12-month follow-up of a behavioural
intervention for adults at risk of T2D.
Participants: Adults aged 4565 years with a Finnish
Diabetes Risk Score (FINDRISC) 11.
Setting: The intervention was delivered in leisure and
community settings in a local authority that ranks in
the 10 most socioeconomically deprived in England.
Intervention: A 10-week supported programme to
promote increased physical activity (PA), healthy eating
and weight loss was delivered by fitness trainers as
twice-weekly group PA or cookery sessions, each
followed by behavioural counselling with support to
12 months.
Outcome measures: We assessed feasibility and
acceptability of the intervention, and change in
behavioural and health-related outcomes at 6 and
12 months.
Results: From 367 registers of interest, 218 participants
were recruited to the programme with baseline mean
(SD): age 53.6 (6) years, FINDRISC 13.9 (3.1), body
mass index 33.5 (5.9) kg/m
2
, waist circumference 108.1
(13.7) cm, PA levels (self-report): daily total 49.1 (5.9)
metabolic-equivalent (MET) h/day. Follow-up at
12 months was completed by 134 (61%) participants,
with an estimated mean (95% CI) change from baseline
in weight 5.7 (7.8 to 2.8); 2.8 (3.8 to 1.9) kg,
waist circumference 7.2 (9.2 to 5.2); 6.0 (7.1 to
5.0) cm, and PA level 7.9 (5.8 to 10.1); 6.7 (5.2 to 8.2)
MET h/day equivalent, for men and women, respectively
(from covariance pattern mixed models). Participants
reported an enjoyable, sociable and supportive
intervention experience.
Conclusions: Participantsviews indicated a high level
of intervention acceptability. High retention and positive
outcomes at 12 months provide encouraging indications
of the feasibility and potential effectiveness of the
intervention. A definitive trial of this intervention is
warranted.
INTRODUCTION
Type 2 diabetes (T2D) is an increasingly
prevalent chronic disease that is progressive,
debilitating and costly to treat.
1
There is
strong evidence from efcacy trials that onset
of T2D can be delayed or prevented by life-
style interventions in adults with impaired
glucose tolerance (IGT),
23
but translating
such interventions to effective, routine deliv-
ery remains challenging. Early translational
diabetes prevention studies conducted in
Finland, Germany and the US assessed
weight loss as an intermediate health
outcome, thus assuming that weight loss,
achieved through these interventions deliv-
ered to high-risk individuals, would predict
reduced T2D incidence.
4
More recently, a
translational trial delivered to adults at high
Strengths and limitations of this study
Social marketing and modelling strategies were
used to design an engaging intervention.
The recruitment campaign was successful in
reaching the target population, but was time
consuming.
Positioning the intervention in leisure services
helped to avoid medicalisingtype 2 diabetes
risk and facilitated the provision of a variety of
physical activities with opportunities for mainten-
ance of these postprogramme. This mode of
delivery is scalable, but assessment of cost-
effectiveness is necessary.
The group-based physical activity and cookery
sessions encouraged social support, engage-
ment and positive reinforcement regarding
behaviour change.
More women than men were recruited, although
retention in the programme was slightly greater
for men than women.
We identified a need to adapt the programme to
attract people from ethnic minority communities.
Penn L, Ryan V, White M. BMJ Open 2013;3:e003585. doi:10.1136/bmjopen-2013-003585 1
Open Access Research
risk in a primary care setting, with a 4.2-year median
follow-up and T2D incidence as the primary outcome,
demonstrated 36.5% relative risk reduction (p < 0.005)
in T2D incidence in the lifestyle intervention group
compared to a usual care control group.
5
This risk
reduction is less than the 57% risk reduction achieved
in some efcacy trials.
6
The authors of this primary care
trial acknowledge the difculties in translating evidence
for effective implementation and suggest that the feasi-
bility and effectiveness of lifestyle interventions need to
be validated within the population in which they are
intended to be used.
5
The UK National Institute for Health and Care
Excellence (NICE) guidance for preventing T2D in
high-risk individuals identied evidence gaps relating to
risk identication of those suitable for lifestyle-change
programmes and the need for translation of research
evidence to UK practice.
3
A report commissioned by
NICE highlighted the increased prevalence of T2D in
low socioeconomic status groups and acknowledged that
engaging people from these groups in preventive inter-
ventions is challenging.
7
Translational T2D prevention studies have generally
used classroom-based behavioural counselling
48
and this
approach is advocated in the development and implemen-
tation of a European Guideline and Training Standard for
Diabetes Prevention (IMAGE) guidelines.
910
Similarly, the
Good Ageing in Lahti region (GOAL) before-and-after
implementation study for T2D prevention used a struc-
tured counselling programme that drew on social cogni-
tive and self-regulation theories of behaviour change.
11
However, the Finnish Diabetes Prevention Study (DPS)
12
and American Diabetes Prevention Programme (DPP)
13
trials (which provided efcacy evidence for T2D preven-
tion) both included group delivered physical activity (PA)
sessions. Experiential learning theory emphasises the
central role that a here-and-nowconcrete experience,
along with observation and reection, plays in promoting
subsequent higher order purposeful action.
14
In this
experiential approach, performing an action in a specic
instance and considering its effects is precedent to gener-
alisation.
15
We therefore developed an alternative
approach to intervention delivery that included group
delivered PA sessions to provide immediate experience of
different exercise activities, facilitate peer interaction and
accommodate different learning styles.
16
We have drawn
on experiential learning theory as well as behaviour
change theories and techniques in intervention develop-
ment.
1719
We report on the feasibility, acceptability and behav-
ioural and health-related outcomes at a 12 month
follow-up of a novel community-based intervention
called New life, New you(NLNY), directed at adults at
risk of T2D. NLNY was novel in its delivery via supported
group PA and cookery sessions, each followed by reec-
tion, advice and counselling.
20 21
In England, health improvement responsibilities are
assigned to local government (from April 2013). Thus,
NLNY, which was designed as a health and leisure
service partnership to be delivered by local authority
employed tness trainers, offers a model with strong
potential for future public health commissioning and
service delivery. Feasibility and acceptability of this novel
intervention were assessed in preparation for a denitive
effectiveness trial.
METHODS
Objectives
We aimed to assess the feasibility, acceptability and likely
effectiveness of the intervention to change PA, weight and
other health-related outcomes at 12 months of follow-up.
Study design, participants and data collection
We used mixed methods to assess process and outcomes
at 6 and 12 months of follow-up,
22
using an uncontrolled
before-and-after study design, with embedded qualitative
interviews.
Two participant cohorts were recruited between March
2009 and November 2010, the rst supported by social
marketing campaigns and the second by word of mouth
or signpostedfrom primary care. Inclusion criteria
were: age 4565 years, living in central Middlesbrough
UK, and with elevated risk of T2D. Individualised 10 year
risk of T2D was determined at baseline using the Finnish
Diabetes Risk Score (FINDRISC), a prospective risk
assessment tool that uses simple, non-invasive measures,
including height, weight and waist circumference, as well
as questions about family history and lifestyle.
23
To give
an indication of socioeconomic status, we used home
post codes to assign the English Index of Multiple
Deprivation (IMD), an ecological, composite measure
based on routinely available data in seven categories of
deprivation (income, employment, health and disability,
education skills and training, barriers to housing and
other services, crime and living environment) at the
Lower Super Output Area (LSOA: a small administrative
area with a population of about 1500) level to each par-
ticipant.
24
Previous diagnoses of T2D or inability to par-
ticipate in moderate PA were exclusion criteria. Details of
the target population, and recruitment strategies have
been reported previously.
20 21
Participants completed the
standard local authority leisure services questionnaire,
which included questions regarding medication, diag-
nosed medical conditions and any other condition that
might prevent people from participating in PA. The
leisure services standard protocol for reporting injury or
other adverse side effects was used. Following a brief
screening (self-report of: age, area of domicile and
history of T2D), potential participants were invited to
attend an individual assessment that was conducted by
one of the NLNY health and tness trainers in a conveni-
ent community location. The consultation incorporated
motivational interviewing techniques to promote engage-
ment in the intervention.
25
After their baseline assess-
ment, those with FINDRISC 1120 who wished to
2Penn L, Ryan V, White M. BMJ Open 2013;3:e003585. doi:10.1136/bmjopen-2013-003585
Open Access
participate were allocated to the intervention pro-
gramme. Those with FINDRISC>20 were advised to see
their general practitioner (GP) and were able to join the
programme with their GPs permission (providing there
was no diagnosis of T2D). The trainers conducted
further assessments at 6 and 12 months in one-to-one
consultations.
To assess intervention feasibility and acceptability, we
recorded recruitment and retention through the
programme and follow-up. We conducted qualitative
interviews with participants at 6 and 12 months of postpro-
gramme. The interview topic guide was developed from
our previous research in this area.
26
Interviewees were pur-
posively selected for success in PA increase at 6 or
12 months of follow-up. Interviews were recorded and
transcribed verbatim. As part of the qualitative evaluation,
we sought to elicit participantsviews on acceptability of
the intervention and research procedures. Participant per-
spectives of their behaviour changes are reported
separately.
21
Outcome measurements
To evaluate likely effectiveness, the primary outcome
measures were change in PA levels and variety. These
were assessed through a self-report instrument that we
developed from the PA diary used in the Newcastle
arm of the European Diabetes Prevention Study
(EDIPS-Newcastle) randomised controlled trial.
27
We cal-
culated the daily total PA level in metabolic-equivalent
tasks for each hour (MET h) from a 24 h recall, recorded
in half-hour periods of activity level (eg, lying down=1,
standing=3, brisk walking=5, strenuous activities=8).
28
The amount and variety of leisure time PA over level 5
was recorded as a recall of type of activity and number of
sessions of each activity of at least 15 min duration over
the previous week. Secondary outcomes were change in
weight and waist measurements and FINDRISC.
23
Dietary
assessment was based on questions about specic foods
(number of portions of fruit and vegetables consumed
daily, and type of bread, milk and fat usually consumed),
and was aligned with the dietary advice given to partici-
pants. All measures were assessed at each time point.
Intervention development
Intervention design built on research evidence for T2D pre-
vention including the Finnish DPS
12
and EDIPS-
Newcastle.
26 27
The intervention was developed in accord-
ance with the UK National Social Marketing Centre bench-
mark criteria,
29
designed for adults living in
socioeconomically disadvantaged areas, and intended to be
delivered in leisure and community settings.
20 21
Market
segmentation identied target groups as middle-aged and
older men and women on low incomes.
30
Consultations
with stakeholders (potential participants and experienced
local tness trainers) informed creative work with the deliv-
ery staff to develop the intervention design, name, logo and
project documents, all of which were rened in usability
testing.
31
Intervention
NLNY trainers delivered a 10-week programme of twice-
weekly 1.5 h sessions to groups of 1520 participants.
Participant preferences, for example for a single-sex activ-
ity group or for particular PAs, were accommodated where
possible. Each NLNY session comprised a supervised PA
or, on two or three occasions within each 10-week pro-
gramme, a cookery session, followed by a reective discus-
sion that covered PA, nutrition, weight management and
strategies for behaviour change. Monthly NLNY newslet-
ters with information, advice and recipes were available to
participants, mostly online. PAs centred on the interests of
each participant group, with exibility to repeat popular
activities. Sessions were leisure centre based, but also
included trainer-led walks. The supported cookery sessions
were designed to encourage healthy eating and to demon-
strate the ease with which healthy food could be prepared.
Nutritional information incorporated the importance of
reading food labels with advice based on the Eat-well
plate,
32
including reduction in fat and increase in bre
intake, in line with the DPS protocol and NICE guid-
ance.
312
Weight reduction was advised for those over-
weight, who were the majority. The trainers introduced
behaviour change strategies (including goal setting, action
planning, barrier identication, social support, self-
monitoring, advance planning for relapse prevention and
contingent rewards), as the need arose, with regular repe-
tition during the supported sessions.
18
At the end of the 10-week programme, participants who
had completed 80% attendance received an access to
leisurecard that enabled free leisure service use for
12 months. After the programme, ongoing support with
regular mobile phone text message and email reminders,
drop-inactivity sessions and encouragement to join in
local events such as organised walks and runs continued
up to the assessment at 12 months of follow-up. The full
intervention manual is available from the corresponding
author.
Data analysis
We analysed outcome data using SPSS (IBM SPSS Inc,
V.17) and SAS/STAT, V.9.2 software.
33
For this feasibility
study, analyses of the data collected were mainly descrip-
tive. For repeated measures analysis of continuous
outcome variables, we used covariance pattern mixed
models which allow appropriate estimation of the mean
change (and associated SE) between visits, allowing for
missing observations over time.
34
We estimated (with
95% CIs) mean change from baseline to 6 and
12 months for PA level, weight, waist circumference and
FINDRISC data for those participants who started the
10-week programme. From the available self-report data,
we report the number and percentage of those who par-
ticipated in different activities in the previous week and
the number and percentage of different foods con-
sumed within food groups at each time point for those
who completed 12 months in the study.
Penn L, Ryan V, White M. BMJ Open 2013;3:e003585. doi:10.1136/bmjopen-2013-003585 3
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We analysed transcribed data, from the interview
study, using the framework approach.
35
A priori themes
explicit in the topic guide were extended with themes
emerging from the data. NVivo software was used to
arrange the data. Detailed qualitative analysis, based on
the theoretical domains framework, is reported separ-
ately.
19 36
For the analysis reported here, key themes
relating to acceptability were extracted along with illus-
trative quotes.
RESULTS
From 271 registers of interest for the rst cohort 166
(61%), participants were recruited to the programme,
including 56 (26%) recruited via word of mouth. From
96 registers of interest for the second cohort, 52 (54%)
participants were recruited, including 44 (85%)
recruited via word of mouth. In total, there were 367
registers of interest and the trainers recruited 218 (59%)
participants to the programme. Just over half (53%) of
the NLNY participants lived in an LSOA within the
lowest quintile of deprivation based on 2010 IMD ranks
for all England. A total of 134 (61%) programme group
participants completed follow-up at 12 months. More
women than men were recruited, although this differ-
ence was less in the second cohort, and a slightly higher
proportion of men than women completed the
12-month follow-up. A ow chart of progress through
the NLNY programme to 12 months of follow-up is
detailed in gure 1.
Baseline data (continuous variables) for all those
recruited to the programme and for male and female
participants separately are shown in table 1 and distribu-
tions across key categories of these variables are shown
in table 2. A total of 194 (89%) participants were
recorded as overweight or obese, of which 64 (29%)
were severely obese (body mass index, BMI>35 kg/m
2
).
Of the men recruited, 61 (91%) recorded a waist cir-
cumference >91 cm; 126 (83%) of women recorded a
waist circumference >83 cm. Participants reported taking
part in PA at a level of >5 MET h/day for only 1 h/day
on average with one activity being the median number
of PA types. The trainers recruited 21 participants with
baseline FINDRISC<11, all of whom were overweight
and inactive, into the programme. The question, Do
you smoke currently?was answered by 125 (57%) parti-
cipants, of whom 3 men and 3 women reported cur-
rently smoking. The question, Have you ever smoked?
was answered by 140 (64%) participants, of whom 20
men and 44 women reported smoking at some time
previously.
Baseline values for key variables were mostly similar
for those who completed 12 months of follow-up and for
those who left the study early. However, participants who
dropped out of the programme by 10 weeks or left
before 6 or 12 months of follow-up came from signi-
cantly more deprived areas than those who completed
these follow-up assessments, as shown in table 3.
Changes in key variables are shown in table 4. The
results suggest overall increases in PA levels (total and
leisure time), an increase in the variety of PA and
decreases in the BMI, weight, waist circumference and
FINDRISC. Changes were greater in the rst 6 months
of follow-up than in the period from 7 to 12 months.
Nevertheless, benecial changes in all outcomes
occurred between 0 and 12 months with estimated mean
(95% CI) change from baseline in weight 5.7 (7.8 to
2.8); 2.8 (3.8 to 1.9) kg, waist circumference 7.2
(9.2 to 5.2); 6.0 (7.1 to 5.0) cm and PA level 7.9
(5.8 to 10.1); 6.7 (5.2 to 8.2) MET h/day equivalent for
men and women, respectively.
Table 5 shows the change in numbers (%) participat-
ing in specic leisure time activities at baseline, 6 and
12 months. Participation in gym-based activities, sports
and otheractivities (ie, any activities not otherwise spe-
cied, including the popular aqua-t sessions) showed
substantial increases over time.
Table 6 shows changes in numbers (%) consuming
categories of specic foods at baseline, 6 and 12 months.
There were notable increases in consumption of brown
bread, soft margarine and ve or more portions of fruit
and vegetables/day, and decreases in consumption of
white bread, butter and hard margarine.
Table 7 shows key themes and associated quotations
relating to acceptability of the intervention, derived
from the qualitative interviews. The intervention delivery
environment was viewed as welcoming, friendly, sociable,
enjoyable, comfortable and convenient. The only nega-
tive comment was about the potential for disruptive ele-
ments within groups, although this comment was
balanced by an appreciation of the trainersefforts to
contain this. Participants had high praise for the trainers
and would recommend the programme to others.
DISCUSSION
Statement of principal findings
Most participants came from areas of social deprivation,
reecting the target population, and fewer men than
women were recruited. High retention and further
recruitment by word-of-mouth recommendation, along
with positive comments in the qualitative interviews,
suggest high levels of acceptability of the intervention.
Positive outcomes at 12 months, including increased PA,
weight loss, reduction in waist circumference and
FINDRISC, and increase in the consumption of fruit
and vegetables, are encouraging indications of the likely
effectiveness of the intervention. Intervention delivery,
by tness trainers in leisure and community settings
incorporating robust outcome data collection for moni-
toring purposes, provides a viable model for service pro-
vision in the UK.
Almost all NLNY participants were overweight or
obese at baseline, with elevated risk of developing T2D.
Just over half (53%) of the participants were living in
areas located in the lowest, and 65% in the lowest two,
4Penn L, Ryan V, White M. BMJ Open 2013;3:e003585. doi:10.1136/bmjopen-2013-003585
Open Access
quintiles of deprivation based on 2010 IMD ranks for all
England. Recruitment and retention of people from this
population in a preventive intervention is challenging
and the retention rate of 61% at 12 months, with many
participants recruited by word of mouth, demonstrates
intervention acceptability. Mean benecial change was
demonstrated in measures of PA and in objective mea-
sures of weight and waist circumference, resulting in
Figure 1 Flow chart of recruitment and progress through the New life, New Youpilot evaluation.
Penn L, Ryan V, White M. BMJ Open 2013;3:e003585. doi:10.1136/bmjopen-2013-003585 5
Open Access
reduction in FINDRISC for many participants. The main
areas of PA increase were gym-based and sports activities
(including badminton) as well as popular aqua-tses-
sions (which were provided separately for men and
women). Walking, hobbies and swimming activities were
fairly consistent across the study time period, which sug-
gests that the new activities were additions rather than
replacements.
The dietary assessment was limited by resources and a
perceived need to minimise respondent burden. Of
interest was the increase in reported portions of fruit
and vegetables consumed per day. There were only
modest benecial changes in other food groups.
Renement of dietary advice to promote wholemeal
(rather than brown) bread and skimmed (rather than
semiskimmed) milk should be considered.
Strengths and limitations of the study
Recruitment and retention
Intervention development was strengthened by drawing
on social marketing (proling a target population, pretest-
ing intervention design through stakeholder consultations
and positioning in community settings) and modelling
(using behavioural and intermediate health outcomes)
strategies to ensure an appropriate, engaging and
pragmatic intervention.
31 37
The promotional campaign,
led by the tness trainers, was time consuming and sign-
postingfrom the National Health Services (NHS) Health
Checks programme within primary care might be a more
efcient long-term option for recruitment.
38
However, we
cannot be sure whether this different recruitment strategy
would affect retention and outcomes.
More women than men were recruited, in common
with previous diabetes prevention studies,
12 13
and this
remains a concern, especially in view of the greater
prevalence of T2D in men.
39
Our social marketing
approach to intervention development led us to provide
single-sex PA classes. However, further gender-sensitive
strategies need to be developed to attract men to partici-
pate in T2D prevention interventions.
40
Themes from the interview study suggest a high
degree of acceptability. However, these interviews were
conducted with participants who remained in the study
and may not reect the perspectives of those who
dropped out. Those who left the study early tended not
to respond to contacts. Participants were recruited from
the community and although the early recruitment strat-
egy involved advertising the programme, later partici-
pants were mainly recruited through word of mouth. We
suggest that as later recruits only became interested in
this opportunity through those already participating,
Table 2 Numbers (%) in each category of baseline variable for New life, New Youparticipants
Variable Number (%) in categories
Missing
data
FINDRISC 711 1214 1520 >20
49 (23) 73 (34) 75 (34) 7 (3) 14 (6)
Age groups (years) <49 5054 5559 6065
77 (35) 50 (23) 48 (22) 38 (17) 5 (2)
IMD rank (All England quintiles) 54321
4 (2) 19 (9) 43 (20) 25 (12) 116 (53) 11 (5)
BMI categories (kg/m
2
)18.525 2529 3034 3539 40
5 (2) 51 (23) 79 (36) 38 (17) 26 (12) 19 (9)
Waist IDEA* categories men (cm) <84 8491 9298 99106 107
0 0 3 (5) 19 (28) 39 (58) 6 (9)
Waist IDEA* categories women (cm) <76 7683 8491 92101 102
0 2 (1) 12 (8) 44 (29) 70 (46) 23 (15)
*International day for the evaluation of abdominal obesity.
1=most deprived; 5=least deprived; BMI, body mass index; FINDRISC, Finnish Diabetes Risk Score; IMD, Index of Multiple Deprivation.
Table 1 Mean (SD) for continuous baseline variables of New life, New Youparticipants, n=218 (men=67, women=151)
Variable n All participants n Men n Women
FINDRISC 204 13.9 (3.1) 63 14.1 (3.4) 141 13.9 (2.9)
Age (years) 213 53.6 (6.0) 67 51.3 (5.2) 146 54.7 (6.1)
IMD score 207 40.0 (21.6) 66 45.5 (20.3) 141 37.4 (21.8)
BMI (kg/m
2
) 199 33.5 (5.9) 64 34.6 (6.0) 135 33.0 (5.8)
Weight (kg) 202 92.1 (19.8) 65 105.5 (20.6) 137 85.7 (15.9)
Waist (cm) 189 108.1 (13.7) 61 116.4 (14.8) 128 104.2 (10.9)
Physical activity: total (MET h/day) 193 49.1 (5.9) 61 48.4 (6.3) 132 49.5 (5.8)
BMI, body mass index; FINDRISC, Finnish Diabetes Risk Score; IMD, Index of Multiple Deprivation; MET, metabolic-equivalent.
6Penn L, Ryan V, White M. BMJ Open 2013;3:e003585. doi:10.1136/bmjopen-2013-003585
Open Access
they were not a population subfraction with prior inter-
est in supervised PA training.
We did not exclude ethnic minorities from taking part
in the programme, but as only two people from these
groups became involved we identied this as a design
limitation, considering the potentially raised prevalence
of T2D within the UK South Asian and African commu-
nities.
3
We are currently developing an adaptation of the
programme,
41
specically to target local ethnic minority
communities, which also includes provision for younger
age participants from these groups in line with NICE
guidance.
3
This adaptation will be similarly assessed for
feasibility, acceptability and outcomes at 12 months.
Recruitment to this study relied on a self-reported
FINDRISC.
23
We agreed on some exibility for inclusion
in this feasibility study because the FINDRISC algorithm
includes a heavily weighted family history question and
validity is compromised where data on family history are
unavailable. Family history in risk score assessment intro-
duces bias (eg, for people from single-parent families or
people with younger than average parents),
42
which
might have importance for this socioeconomically disad-
vantaged participant population. Seven of those
recruited to NLNY who did not report family history at
baseline did so at 6 months, and we know that some of
this difference was due to new T2D diagnoses in family
members. The participants with baseline FINDRISC<11
were all overweight and inactive.
23
However, this exibil-
ity in recruitment introduces a design limitation and
highlights the difculty that the trainers experienced in
turning awaypeople who were keen to participate in
the programme. This difculty was an important nding
from the feasibility evaluation and an alternative strategy
will be needed for a denitive trial. A risk score and con-
rmatory blood test, as advised in NICE guidance,
would ensure more precise inclusion criteria. In this
context, point of care glycated haemoglobin (HbA1c)
may be convenient. HbA1C cut-points to identify high-
risk individuals are recommended in NICE guidance,
but these do not identify a population with IGT and the
appropriate HbA1c cut-points for the purpose of pre-
ventive interventions are untested.
3
Data administration
In this pilot study, we asked the tness trainers to under-
take risk assessment and collect all data. This strategy
was designed to reect the likely future practice, with
inbuilt potential for robust monitoring and quality assur-
ance measures for service provision. However, data col-
lection involved new procedures for the tness trainers
and some baseline data were not recorded. We have sub-
sequently improved the data administration procedures.
However, in a denitive trial, trial data collection will
need to be independent of intervention delivery.
Respondent burden was a key consideration for this
participant group and the data collection procedures
were designed to minimise this. Nevertheless, the dietary
assessment method was weak. We have subsequently
used the Dietary Instrument for Nutrition Education
(DINE) questionnaire as advised by the National Obesity
Observatory for weight management interventions.
43
In
adenitive trial, the need for a more robust, objective
measurement of PA and better dietary assessment will
need to be balanced against increased respondent
burden.
Intervention delivery and capacity
The intervention design was strengthened by the incorp-
oration of individual and group-based delivery. The
one-to-one risk assessment consultations provided oppor-
tunities to introduce topics that facilitated motivational
interviewing.
23
The group-based PA and cookery sessions
encouraged social support with mutual encouragement.
Group-based sessions are likely to reduce cost and
Table 3 Mean (SD) for key baseline variables by retention/attrition at each follow-up stage
Variable
Numbers
available for
variable at
baseline (from
n=218 recruited)
Completed at
10 weeks
(n=179)
Withdrew
at 10 weeks
(n=39)
Completed at
6 months
(n=168)
Withdrew
at 6 months
(n=50)
Completed at
12 months
(n=134)
Withdrew
at 12 months
(n=84)
FINDRISC 204 14.1 (3.2) 13.2 (2.3) 14.1 (3.2) 13.4 (2.4) 14.1 (3.5) 13.7 (2.4)
Age (years) 213 53.9 (6.1) 52.0 (5.7) 54.1 (6.0) 51.9 (6.5) 54.3 (6.1) 52.2 (5.9)
IMD score* 207 38.0 (21.3) 49.7 (20.5) 38.0 (21.3) 47.0 (22.0) 36.8 (21.3) 45.7 (21.0)
BMI (kg/m
2
) 199 33.7 (6.0) 32.1 (4.4) 33.7 (6.2) 33.3 (5.3) 33.6 (6.2) 33.3 (5.2)
Weight (kg) 202 92.5 (19.9) 88.7 (18.5) 92.5 (20.2) 90.0 (17.6) 92.0 (20.3) 92.4 (18.9)
Waist (cm) 189 108.3 (13.5) 106.4 (14.4) 108.2 (13.6) 108.0 (13.6) 108.1 (13.8) 108.3 (12.9)
PA: Total
(MET h/day)
193 49.1 (6.1) 49.2 (4.8) 48.9 (5.9) 50.2 (6.2) 49.2 (6.1) 48.9 (5.6)
PA: Leisure
(h/week)
179 1.1 (.08) 1.3 (0.7) 1.1 (0.8) 1.4 (0.9) 1.1 (0.8) 1.3 (0.9)
*Significant difference between mean IMD scores of those who completed/withdrew at 10 weeks p=0.003, 6 months p=0.011 and 12 months
p=0.005. No significant difference between groups for any other variables.
BMI, body mass index; FINDRISC, Finnish Diabetes Risk Score; IMD, Index of Multiple Deprivation; MET, metabolic-equivalent; PA, physical
activity.
Penn L, Ryan V, White M. BMJ Open 2013;3:e003585. doi:10.1136/bmjopen-2013-003585 7
Open Access
Table 4 Model estimates with 95% CIs for key variables at baseline with changes at 6 and 12 months of follow-up for men and women separately
Variable Men Women
Baseline
Mean change* baseline
to 6 months
Mean change*
612 months Baseline
Mean change* baseline
to 6 months
Mean change*
612 months
Physical activity:
total (MET h/day)
48.5 (46.9 to 50.0) 5.1 (3.4 to 6.8) 2.9 (1.0 to 4.8) 49.4 (48.4 to 50.5) 4.5 (3.3 to 5.7) 2.2 (0.9 to 3.5)
Physical activity:
leisure (h/week)
1.4 (1.1 to 1.6) 1.0 (0.7 to 1.3) 0.1 (0.2 to 0.5) 1.0 (0.9 to 1.2) 0.7 (0.5 to 0.9) 0.3 (0.1 to 0.5)
BMI (kg/m
2
) 34.6 (33.2 to 36.1) 1.4 (1.9 to 0.9) 0.5 (1.0 to 0.03) 33.0 (32.0 to 34.0) 0.8 (1.1 to 0.6) 0.2 (0.5 to 0.03)
Weight (kg) 105.5 (100.6 to 110.5) 4.2 (5.6 to 2.8) 1.5 (3.1 to 0.1) 85.7 (83.0 to 88.4) 2.2 (2.9 to 1.6) 0.6 (1.3 to 0.1)
Waist (cm) 116.4 (112.6 to 120.1) 5.3 (6.7 to 3.9) 1.9 (3.4 to 0.4) 104.2 (102.3 to 106.2) 4.5 (5.2 to 3.7) 1.6 (2.4 to 0.8)
FINDRISC 14.1 (13.2 to 14.9) 1.8 (2.6 to 1.1) 1.2 (2.0 to 0.4) 13.9 (13.3 to 14.4) 1.5 (2.1 to 1.0) 0.4 (1.0 to 0.2)
*A negative change indicates a fall on average from baseline to 6/612 months.
BMI, body mass index; FINDRISC, Finnish Diabetes Risk Score; MET, metabolic-equivalent.
Table 5 Number (%) of participants engaging in each
leisure time physical activity (with level greater than 5
MET h equivalent) in the previous week*
Participation in activity
Baseline 6 months 12 months
Walking 116 (66) 117 (66) 111 (63)
Hobbies63 (36) 30 (17) 48 (27)
Dancing 7 (4) 10 (6) 11 (6)
Gym based10 (6) 115 (65) 79 (45)
Swimming 13 (10) 32 (18) 23 (13)
Sport§ 21 (12) 22 (12)
Others** 23 (13) 85 (48) 74 (42)
*Participants who completed the follow-up at 12 months (n=134)
with data at all three time points n=110.
Hobbies comprised: car maintenance, gardening and
do-it-yourself.
Gym based included: a variety of locally available leisure centre
classes and individual gym equipment use.
§Sport comprised: athletic track use and badminton court use.
**Others referred to any activity not otherwise specifically
allocated (including popular aqua-fit classes).
Table 6 Number (%) of participants eating specific
categories of food at baseline, 6 and 12 months of
follow-up*
Food category Baseline 6 months 12 months
Milk
Skimmed 16 (17) 23 (24) 21 (21)
Semi-skimmed 73 (76) 69 (70) 72 (74)
Full cream 3 (3) 1 (1) 1 (1)
None 4 (4) 5 (5) 4 (4)
Item missing 2 (2) ––
Bread
Wholemeal 39 (40) 43 (44) 39 (40)
Brown 22 (22) 30 (31) 42 (43)
White 29 (30) 16 (16 9 (9)
None 3 (3) 3 (3) 6 (6)
Item missing 5 (5) 6 (6) 6 (6)
Spread
Low fat/sterol 18 (18) 21 (21) 22 (22)
Soft margarine 30 (31) 35 (36) 36 (37)
Butter/hard
margarine
42 (43) 28 (29) 24 (25)
None 7 (7) 13 (13) 16 (16)
Item missing 1 (1) 1 (1)
Fat (cooking)
Spray oil 20 (20) 21 (21) 16 (16)
Oil 63 (64) 67 (68) 69 (70)
Hard fat/lard 1 (1) 2 (2) 0(0)
None 13 (13) 7 (7) 12 (12)
Item missing 1 (1) 1 (1) 1 (1)
Portions/day of fruit and vegetables
2 23 (24) 5 (5) 3 (3)
34 40 (41) 37 (38) 44 (45)
5 29 (30) 56 (57) 51 (52)
Item missing 6 (6) ––
*Participants who completed the follow-up at 12 months (n=132),
with dietary data at all three time points (n=98).
8Penn L, Ryan V, White M. BMJ Open 2013;3:e003585. doi:10.1136/bmjopen-2013-003585
Open Access
potentially improve the cost-effectiveness of the interven-
tion.
44
Positioning the intervention within leisure ser-
vices helped to avoid medicalisingthe problem and
enabled a variety of PAs to be provided. The trainers
were accessible to the participants on a casual basis,
both during the 10-week programme and after its com-
pletion, as they were regularly present in the leisure
centres with other groups. The trainers encouraged par-
ticipants to make independent use of leisure centre facil-
ities and join mainstream activity classes. New
mainstream classes were introduced in response to the
requirements of NLNY participants, some of whom
invested in their own access to leisure service cards after
completing follow-up at 12 months. The local leisure
centre continued to provide a meeting point for partici-
pants post follow-up. The standard (Register of Exercise
Professionals) training programmes for tness trainers
provided a good foundation for intervention delivery,
which we enhanced with extra training in motivational
interviewing and good clinical practice. Similar delivery
capacity would be available in other areas of the UK by
utilising staff trained to deliver tness programmes, such
as within local authority leisure services.
Intervention cost
In this study, we focused on developing an engaging
intervention and sustainable administration procedures.
Group sessions were used to maximise efciency.
Table 7 Acceptability of the New Life New You intervention: key themes from participant interviews and illustrative quotes
Welcoming I was absorbed in from walking through the door (Participant M, male, age 48)
I was shown round and I realised I wasnt the only one [overweight]. [There is] a
cross-section of people who actually use a gym (Participant K, male, age 63)
Were always chatting and welcoming, very welcoming (Participant B, female, age 45)
Friendly, sociable, enjoyable,
supportive
Everybody was really friendly (Participant F, male, age 50)
Youre looking for a kind of, not friendship but people association (Participant I, female,
age 60)
Youre meeting different people the different sessions you go to (Participant A, female, age
59)
I do enjoy the group, so that was an incentive in itself (Participant C, female, age 58)
It was one of the best things I have ever done. I thoroughly enjoyed it (Participant G,
female, age 57)
It is mixing with the people who are actually applying to this as well (Participant H, female,
age 54)
She watches me because I am frightened of the water you see even though I go to Aqua
fit; Im frightened of the water so she tends to stay with me (Participant G, female, age 57)
Comfortable, convenient It felt very comfortable to come (Participant F, male, age 50)
[Men are] a lot shyer than women to join such a group. Just men was a big thing, all
shapes and sizes joined (Participant E, male, age 50)
The leisure centre opens early, so I can go swimming before work (Participant C, female,
age 58)
Well-paced, varied activities You are under no pressure (Participant M, male, age 48)
The more familiar you get with it [gym routine] the more confident you get (Participant K,
male, age 63)
The first activity was a walk and I did find that hard, but [I thought] I need to find out what
else there is so I carried on. I am glad I did push on (Participant G, female, age 57)
One of the good things about it is the level of choice (Participant J, female, age 59)
Trainers (rapport) They gave you so much encouragement along the way. They are a fantastic team
(Participant I, female, age 60). The commitment that they give is unbelievable (Participant
E, male, age 50)
They listen to what I have to say (Participant D, female, age 53)
Also, they are quite innovative (Participant A, female, age 59)
I didnt know any of them [trainers] before I came in and at the end of the first session it
was as though I had known them for quite a long time (Participant M, male, age 48)
If they see someone thats taking the Mick, theyll pull them to one side (Participant F,
male, age 50)
Recommendable Ive been raving on about it ever since to everybody (Participant 0, female, age 47)
The way I would put it to somebody is, Just come and its an enjoyable experience
(Participant M, male, age 48)
I met a lady who was already doing it. She said, I think its great: go for it(Participant J,
female, age 59)
Recommend? [I would] absolutely, totally and utterly (Participant F, male, age 50)
Penn L, Ryan V, White M. BMJ Open 2013;3:e003585. doi:10.1136/bmjopen-2013-003585 9
Open Access
Funding provision was appropriate for a developmental
project and further cost savings are being explored in
rening the service model. Economic evaluation of the
NLNY service model will be undertaken as part of a
denitive trial.
Sample size
This feasibility study has provided data that will inform
sample size estimation for a denitive trial and show
how the NLNY intervention performs in comparison to
interventions used in previous trials: for example, in
NLNY, 21% of participants lost 5% of their body
weight at 12 months of follow-up; the equivalent value in
EDIPS was 38%.
6
A comparison of reductions in the
waist circumference will also be informative.
45 46
Strengths and weaknesses in relation to other studies
In planning the NLNY intervention, we were able to
draw on the experience of EDIPS-Newcastle as previ-
ously described.
27
The efcacy evidence for lifestyle, diet
and PA interventions to prevent T2D has been tested in
research settings.
3
Although it is difcult to compare
across studies with different participant gender distribu-
tions and baseline levels for the outcome variables of
interest, it appears that weight loss observed at
12 months in this pilot study (mean 5.7 kg men, 2.8 kg
women and 4.3 kg overall) was comparable to that
achieved in the Finnish DPS (mean 4.2 kg) and more
than in EDIPS-Newcastle (mean 2.3 kg). Similarly, it
appears that the reduction in waist circumference
(mean 7.2 cm men, 6 cm women and 6.6 cm overall)
was more than in the Finnish DPS (mean 4.4 cm) and
EDIPS-Newcastle (mean 1.7 cm).
12 27
In the
International Day for the Evaluation of Abdominal
Obesity (IDEA) study, waist circumference was shown to
be a better predictor than BMI of diabetes and cardio-
vascular disease.
46
Some countries have already implemented large-scale
diabetes prevention programmes for high-risk groups.
Finnish national diabetes prevention program
(FIN-D2D) and GOAL were both conducted in
Finland,
4749
and a state-wide primary prevention pro-
gramme has been implemented in Saxony in Germany.
8
The Australian Life!Study in Victoria State was devel-
oped with a direct recruitment strategy, underpinned by
social marketing and developed from the Greater Green
Triangle Translational study.
50 51
These programmes did
not achieve the same degree of weight change as the
DPP and DPS. The DPP and DPS included supervised
group PA sessions within their protocols, but service pro-
vision models have relied mainly on classroom-based
counselling.
8
The alternative approach used here may
be more effective, especially for hard-to-reach groups.
Provision of the 12 month free access to leisure card
increased the cost of the intervention and this may
make the NLNY intervention inefcient or difcult to
afford. The commissioners are considering alternatives
such as subsidised service access for continued
implementation.
Recruitment in previous diabetes prevention trials has
relied on assessment of IGT using an oral glucose toler-
ance test. This is not practical for service provision
3
and
large-scale prevention programmes have used risk
scoring methods.
52
Blood testing is required to exclude
undiagnosed T2D, but was not included in the NLNY
pilot. Addressing this limitation will be important prior to
adenitive trial. The most convenient procedure would
be a risk score screening together with a simple blood
test (such as point of care HbA1c followed by venous
blood testing for those with high risk to exclude T2D).
5
Importance of the study: possible mechanisms and
implications for clinicians or policymakers
The NLNY feasibility study has demonstrated successful
recruitment and retention, the feasibility of collecting
individual level outcome data within a service model,
and likely effectiveness to change behavioural and inter-
mediate health outcomes.
The NHS Health Checks programme in England
offers simple tests including BMI and, where appropri-
ate, HbA1c to adults aged between 40 and 74 years.
38
NICE guidance advocates lifestyle intervention for T2D
prevention linked to NHS Health Checks.
3
Delivery cap-
acity is a major consideration in planning service provi-
sion for diabetes prevention. By citing the NLNY
intervention within local authority leisure services, we
have utilised appropriate and available facilities together
with the expertise of existing trained staff. This study
demonstrates the feasibility of an intervention model,
delivered by tness trainers in leisure and community
settings with collection of robust outcome data. This
model has potential for scalable service provision.
Future research
The outcome data reported here are encouraging and
the next step is a formal test of effectiveness and cost-
effectiveness in a denitive trial prior to translation for
mainstream practice. The results of a qualitative process
evaluation of participantsperspectives of their behav-
ioural change
53
provide further evidence to complement
the ndings reported here on feasibility, acceptability
and potential effectiveness.
CONCLUSION
High retention and positive outcomes at 12 months are
encouraging indications of the potential success of the
NLNY intervention. A controlled trial with assessment of
cost-effectiveness is warranted. The intervention provides
a potential model for sustainable service provision in the
UK and is scalable.
Acknowledgements The authors would like to thank the participants and all
the staff who helped with the study. The study was funded by a consortium
including Sport England; Middlesbrough Primary Care Trust; Public Health
North East; and Middlesbrough Council. The authors wish to thank Diabetes
10 Penn L, Ryan V, White M. BMJ Open 2013;3:e003585. doi:10.1136/bmjopen-2013-003585
Open Access
UK for their input to the Steering Group. In 2012, London hosted the Olympic
and Paralympic Games. The aspiration that the Games would encourage
greater participation in physical activity inspired the development of the New
life, New You(NLNY) intervention for T2D prevention as a health and sports
sector partnership and the project was awarded the 2012 Inspiremark. We
acknowledge the contribution made by local organisations in planning this
intervention in connection with the Olympic and Paralympic legacy.
Contributors MW was a member of the Steering Group responsible for
securing funding and for the outline plan for the NLNY intervention and
evaluation. LP contributed to the development of the NLNY pilot intervention,
designed the pilot evaluation and the qualitative study, and conducted the
qualitative interviews. VR conducted the statistical analyses. MW and VR
reviewed and contributed to the manuscript drafted by LP. All authors read
and agreed on the final version.
Funding Middlesbrough Council; Middlesbrough Primary Care Trust; Public
Health North East, Sport England. Newcastle University, Institute of Health
and Society provided funding for open access publication.
Competing interests The business case and outline plan for this pilot study
was determined by a steering committee. This included representatives from
members of the organisations that comprised the funding consortium as well
as the Principal Investigator for the evaluation, co-author MW. The detailed
development of the intervention was then progressed by a small operational
team including the evaluation researcher, co-author LP. The operational team
reported to the steering committee. The funders had no role in the collection,
analysis and interpretation of data, writing of the article or in the decision to
submit it for publication. MW, VR, and LP receive salaries from Newcastle
University, Institute of Health and Society that provides open access funding
for the publication.
Ethics approval Newcastle University Ethics Committee.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement No additional data are available.
Open Access This is an Open Access article distributed in accordance with
the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license,
which permits others to distribute, remix, adapt, build upon this work non-
commercially, and license their derivative works on different terms, provided
the original work is properly cited and the use is non-commercial. See: http://
creativecommons.org/licenses/by-nc/3.0/
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Open Access
... 18,20,31 Four studies described programs were codesigned with stakeholder consultation to ensure they were relevant and appropriate for the target group and the personnel delivering the programs. 20,28,29,32 The studies reported that it was not only feasible for multiple organisations to work collaboratively, but a partnership was necessary to deliver a health promotion program. Multifaceted, integrative input from a variety of organisations 19,29 was deemed necessary to address both the health behaviour 18 ...
... Programs with a higher number of coded BCTs reported moderate to large effect sizes for physical activity and healthy eating outcomes. 32 Combining the elements of partnerships and programs, a health promotion program that is developed collaboratively and informed by an evidence base or behaviour change theory is a promising approach for designing future health promotion programs. ...
... ,32 Hetherington et al reported the HEAL program, an 8-week physical activity and healthy eating program conducted in local government areas amongst the general population (n = 2827), had a 61% retention rate.31 Analyses did not adjust for confounders but following the program, there was a moderate effect size for increased self-reported physical activity, daily serves of fruit and vegetables and functional capacity from baseline measures, and minimal effect size for reduced body mass index, waist circumference and blood pressure. ...
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Background: Non-communicable diseases can be prevented or delayed through health promotion programs. Little is known about programs delivered by partnership organisations that address lifestyle behaviours. The study's purpose was to review the literature on physical activity or healthy eating health promotion programs, delivered in partnership by the local government and local health services, to describe characteristics of programs and their impact on physical activity, healthy eating or related health outcomes among middle-aged adults. Method: This rapid review was conducted in November 2021-June 2022, informed by the Cochrane Rapid Reviews Methods guidance for conducting rapid reviews. Articles published in English since 2000 were identified in Medline, Embase, Cinahl, AgeLine and Scopus databases. A narrative synthesis was performed. Results: Ten articles involving 19,802 participants were identified from a total of 4,847 articles identified from the search. The primary role of the partnership was providing funds. Other roles were facilitating stakeholder involvement, program development, delivery and recruitment. Positive outcomes were likely if programs were developed by collaborative stakeholder partnerships, informed by previous research, or a behaviour change framework. The heterogeneity of study designs and reported outcomes did not permit meta-analysis. Conclusion: This review highlights the lack of evidence of local government-health service partnerships delivering physical activity or healthy eating health promotion programs for middle-aged adults. Programs designed collaboratively with an evidence-base or a theory-base are recommended and can guide future work investigating strategies for partnership development. SO WHAT?: Physical activity or healthy eating health promotion programs need early stakeholder collaborative input designed with a theory/evidence base. This can guide future work for investigating strategies for partnership development.
... Ten studies were randomized [25-28, 32-35, 37, 38], five had a pre-post design, [21,23,24,30,38], while two studies were non-randomized [22,29] (Supplementary file 2). Thirteen studies had adults alone [22-27, 30, 32-37], one had both children and adults [21], while two studies had children alone [29,38]. ...
... The additional descriptive data of these studies are provided in Supplementary file 2. A theoretical framework was applied in only eight out of 19 studies. The frameworks used in the studies were social cognitive theory in four studies [27][28][29]38], t5 instructional design in two studies [37,39], and health belief [22] and social marketing [24] theories in one study each. In terms of educational interventions, 12 studies were aimed at improving lifestyle and increasing physical activity. ...
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Purpose Our objective was to estimate the change in community-based education interventions throughout the world that may effectuate in risk parameters of type II diabetes (T2D), including the diabetes incidence rate, fasting blood glucose, hemoglobin A1C, body mass index, waist circumference, and systolic and diastolic blood pressure. Methods A comprehensive search for globally eligible studies was conducted on PubMed, Embase, ProQuest, CINAHL nursing & allied health source, Cochrane Library, Google Scholar, conference proceedings, and reference lists. Data were extracted using JBI standardized data extraction tool. The primary outcome variables were diabetes incidence rate, fasting blood sugar (FBS), hemoglobin A1c (HbAlc), body mass index (BMI), waist circumference (WC), systolic/diastolic blood pressure (s/d BP). Random-effects meta-analysis and sub-group analyses were conducted. Results Nineteen interventional studies were included in the review, and ten studies were pooled in the meta-analysis ( n = 16,106, mean age = 41.5 years). The incidence rate of T2D was reported in three trials, within which the risk of developing T2D was reduced by 54.0% in favor of community-based educational interventions, (RR = 0.54, 95% CI = 0.38–0.75; p < 0.001). In eleven ( n = 11,587) and six ( n = 6416) studies, the pooled mean differences were − 0.33 (95% CI: − 0.45 to − 0.20, p < 0.0001) and − 0.15 (95% CI: − 0.28 to − 0.03, p < 0.0001) for FBS and HbA1c levels, respectively. Positive significant effects were observed on reducing BMI [pooled mean difference = − 0.47 (95% CI: − 0.66 to − 0.28), I ² = 95.7%, p < 0.0001] and WC [pooled mean difference = − 0.66 (95% CI: − 0.89 to − 0.43), I ² = 97.3%, p < 0.0001]. The use of theoretical frameworks was found to provide a 48.0% change in fasting blood sugar. Conclusions Based on a comprehensive data collection of about 16,106 participants and reasonable analyses, we conclude that educational interventions may reduce diabetes incidence by 54.0%, particularly through reductions in fasting blood glucose, body mass index, and waist circumference. The diabetes risk parameters may favorably improve irrespective of the duration of intervention, at as low as 6 months. The application of theoretical frameworks while designing educational interventions is also encouraged. Systematic review registration PROSPERO CRD42018115877
... Culinary medicine is evidence-based, both for patients and for medical trainees. For patients, culinary medicine interventions have been shown to improve diabetes control, 27,30 blood pressure, 30 serum cholesterol, 30 BMI, 31,32 adherence to a Mediterranean diet, 33 fruit and vegetable intake, 32,33 self-esteem, 34 self-efficacy, 35 socialization, 36,37 psychological well-being, 38,39 and quality of life. 37,40 Among medical trainees, culinary medicine interventions have demonstrated improvements in participants' interprofessional collaboration, confidence and competence in providing nutritional counseling, cooking and nutrition knowledge, self-efficacy, motivation to eat healthfully, and personal health behaviors. ...
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Since the middle of the 20th century, the American food environment has become increasingly ultra-processed. As a result, the prevalence of chronic, diet-related disease in the United States has skyrocketed. Meanwhile, physicians are still poorly trained in nutrition. A recent innovation that aims to address this is "culinary medicine" programming taught by teams of physicians, chefs, and registered dietitian nutritionists. Culinary medicine is an evidence-based, interprofessional field of medicine that combines culinary arts, nutrition science, and medical education to prevent and treat diet-related disease. It employs hands-on learning through healthy cooking and is typically taught in a teaching kitchen, either in-person or virtually. It can be dosed either as a patient care intervention or as experiential nutrition education for students, medical trainees, and healthcare professionals. Culinary medicine programs are effective, financially feasible, and well-received. As a result, healthcare systems and medical education programs are increasingly incorporating culinary medicine, teaching kitchens, and interprofessional nutrition education into their patient care and training models.
... Health professionals who provided support and guidance, and actively involved patients in decision-making are highly valued by patients (Evans et al. 2007). Furthermore, according to Penn et al. (2013), patients who experienced a positive patient-clinician relationship were more likely to engage in preventive behaviours. ...
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Background: Diabetes prevention programs are intended to reduce progression to type 2 diabetes, but are underutilised. This study aimed to explore people with prediabetes' knowledge and attitudes about prediabetes, and their perceptions about engagement in preventive programs in a rural setting. The findings will inform strategies and recommendations to increase preventive health program engagement. Methods: Using a qualitative approach with a critical realist methodology, semi-structured interviews were conducted with 20 rural participants with prediabetes from the Northern New South Wales Local Health District in 2021. Interviews were audio-recorded, transcribed verbatim and thematically analysed. The social-ecological model was used as a framework to interpret and action the study findings. Results: Factors that empowered participants and facilitated a desire to engage in preventive programs included knowledge about prediabetes, a high level of social support, trusting and supportive relationships with health professionals, and a strong desire not to progress to diabetes. Barriers to program engagement included low health literacy levels, limited support, negative experiences with health services, and social and physical constraints. The factors that influenced engagement with preventive health programs were mapped to an individual, interpersonal, organisational, community and policy level, which highlighted the complex nature of behaviour change and the influence of underlying mechanisms. Conclusions: Engagement in diabetes prevention programs was dependent on individual agency factors and structural barriers, each of which related to a level of the social-ecological model. Understanding the perceptions of people with prediabetes will inform strategies to overcome multi-level barriers to preventive health program engagement in rural settings.
... Patients are more likely to participate when link workers contact them directly after receiving the referral, make regular follow up phone calls, or even come along with them to the planned activities (49,55). In the community, ongoing supervision by activity leaders is identified as a relevant factor promoting service users' adherence (56)(57)(58)(59)(60). Support from peers in similar circumstances also enhances patients' motivation by providing positive exemplars of progress and contributes to validate their personal experiences (61)(62)(63). ...
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Background Social prescribing (SP) involves linking patients in primary care with services provided by the voluntary and community sector. Despite growing interest within NHS primary care, it remains unclear how and under what circumstances SP might contribute to good practice. Aim To define ‘good’ practice in SP by identifying context-specific enablers and tensions. To contribute to the development of an evidence-based framework for theorizing and evaluating SP within primary care. Design and setting Realist review of secondary data from primary care-based SP schemes. Method We searched for qualitative and quantitative evidence from academic articles and grey literature following the Realist and Meta-narrative Evidence Syntheses-Evolving Standards (RAMESES). We characterised common SP practices in three settings (general practice, link workers and community sector) using archetypes which ranged from best to worst practice. Results A total of 140 studies were included for analysis. We characterised common SP practices in three settings (general practice, link workers and community sector) using archetypes which ranged from best to worst practice. We identified resources influencing the type and potential impact of SP practices and outlined four dimensions in which opportunities for good practice arise: 1) individual characteristics (stakeholder’s buy-in, vocation, knowledge); 2) interpersonal relations (trustful, bidirectional, informed, supportive, transparent and convenient interactions within and across sectors); 3) organisational contingencies (the availability of a predisposed practice culture, leadership, training opportunities, supervision, information governance, resource adequacy and continuity and accessibility of care within organisations); and 4) policy structures (bottom-up and coherent policymaking, stable funding and suitable monitoring strategies). Findings where synthesised in a multi-level, dynamic and usable SP Framework. Conclusion Our realist review and resulting framework revealed that SP is not inherently advantageous. Specific individual, interpersonal, organisational and policy resources are needed to ensure SP best practice in primary care.
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Aims To identify barriers and enablers that influence engagement in and acceptability of diabetes prevention programmes for people with pre‐diabetes. The results will provide insights for developing strategies and recommendations to improve design and delivery of diabetes prevention programmes with enhanced engagement and acceptability for people with pre‐diabetes. Methods This review used a critical realist approach to examine context and mechanisms of diabetes prevention programmes. Medline, Embase, PsycInfo, Cinahl, Web of Science, Scopus and Pre‐Medline were searched for English language studies published between 2000 and 2023. A quality assessment was conducted using Joanna Briggs Institute critical appraisal tools. Results A total of 90 papers met inclusion criteria. The included studies used a variety of quantitative and qualitative methodologies. Data extracted focused on barriers and enablers to engagement in and acceptability of diabetes prevention programmes, with seven key mechanisms identified. These included financial, environmental, personal, healthcare, social and cultural, demographic and programme mechanisms. Findings highlighted diverse factors that influenced engagement in preventive programmes and the importance of considering these factors when planning, developing and implementing future diabetes prevention programmes. Conclusions Mechanisms identified in this review can inform design and development of diabetes prevention programmes for people with pre‐diabetes and provide guidance for healthcare professionals and policymakers. This will facilitate increased participation and engagement in preventive programmes, potentially reducing progression and/or incidence of pre‐diabetes to type 2 diabetes and improving health outcomes.
Article
Culinary medicine (CM) represents a novel strategy to promote healthy ageing, as it improves adherence to healthy dietary patterns by providing nutritional education and training in cooking skills. We conducted a comprehensive review of the current scientific literature (2011-2022) concerning CM programmes implemented among participants over the age of 40. This review includes fourteen culinary-nutritional interventions. Each CM programme was analysed according to 7 variables: health goal, study design, theoretical basis of the intervention, intervention duration, main outcomes, culinary intervention, and the effectiveness of intervention. Although CM programmes showed low effectiveness in achieving positive results on psychosocial outcomes, they were successful in improving dietary intake and health-related outcomes. The interventions lasting for at least 5 months and employing study designs with two or more groups seemed to be important factors associated with achieving significant results. Significant results were observed regardless of the prevention phase defined as the health objective of the CM programme. Regarding the use of theoretical frameworks as an educational resource, did not influence the effectiveness of the interventions. Other variables such as the inclusion of culinary outcomes, the optimisation of the culinary curriculum taught to the participants and the participation of a chef in the intervention are factors that should be taken into account. In addition, several educational components (cooking classes, hands-on cooking, free food delivery, individualized counselling) were promising for achieving health outcomes in ageing people. Our review has shown that CM programmes can be a powerful tool to improve the health status of ageing people.
Article
Background Recent research claims some interdependence between oral health and dementia; however, no empirical data could be found regarding the role of oral hygiene in delirium. This study investigated potential risk indicators related to oral hygiene in relation to development of delirium in the care of older patients.MethodsA dental examination was performed in 120 patients in the context of a case-control study. The ratio of diseased patients with risk factors to diseased patients without risk factors describes the correlation between risk factors and the risk of disease. A binary logistic regression was performed to determine the correlation of the number of teeth to delirium.ResultsEvery lost tooth enhances the delirium risk by 4.6%. Edentulous patients had a 2.66-fold higher risk to suffer from delirium. Caries experience and periodontitis has no significant impact on delirium prevalence.DiscussionBoth edentulousness and the number of lost teeth could be considered as risk indicators for delirium. Periodontitis or caries experience did not have a direct significant impact. The present study examined the merits of edentulousness and tooth loss as a screening parameter.
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Purpose: The routine use of validated diagnostic instruments is key to identifying delirious patients early and expediting care. The 3-Minute Diagnostic Assessment for Delirium using the Confusion Assessment Method (3D-CAM) instrument is a brief, easy to use, sensitive, and specific delirium assessment tool for hospitalized patients. We aimed to translate the original English version into French, and then adapt it to older high-risk patients. Methods: Translation and adaptation of the questionnaire were guided by an expert committee and the 3D-CAM instrument developer. During the translation phase, we achieved semantic and conceptual equivalence of the instrument by conducting forward and backward translations. During the adaptation phase, we assessed the face validity, clarity of wording, and ease of use of the translated questionnaire by administering it to 30 patients and their caregivers in peri-interventional and medical intermediate care units. During both phases, we used qualitative (goal and adequacy of the questionnaire) and quantitative (Sperber score, clarity score) criteria. Results: Translation: four items were judged inadequate and were revised until all reached a Sperber score of < 3/7. Face validity: 91% of patients thought the questionnaire was designed to assess memory, thoughts, or reasoning. Clarity: eight items required adjustments until all scored ≥ 9/10 for clarity. Ease of use: all bedside caregivers reported that the questionnaire was easy to complete after receiving brief instructions. Conclusions: We produced a culturally adapted French version of the 3D-CAM instrument that is well understood and well-received by older high-risk patients and their caregivers.
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Purpose To investigate performance of the Months of the Year Backwards (MOTYB) test in older hospitalised patients with delirium, dementia, and no cognitive impairment. Methods Secondary analysis of data from a case–control study of 149 hospitalised patients aged ≥ 65 years with delirium [with or without dementia ( N = 50)], dementia [without delirium ( N = 46)], and no cognitive impairment ( N = 53). Verbatim transcripts of MOTYB audio recordings were analysed to determine group differences in response patterns. Results In the total sample [median age 85y (IQR 80–88), 82% female], patients with delirium were more often unable to recite months backward to November (36/50 = 72%) than patients with dementia (21/46 = 46%; p < 0.01) and both differed significantly from patients without cognitive impairment (2/53 = 4%; p ’s < 0.001). 121/149 (81%) of patients were able to engage with the test. Patients with delirium were more often unable to engage with MOTYB (23/50 = 46%; e.g., due to reduced arousal) than patients with dementia (5/46 = 11%; p < 0.001); both groups differed significantly ( p ’s < 0.001) from patients without cognitive impairment (0/53 = 0%). There was no statistically significant difference between patients with delirium (2/27 = 7%) and patients with dementia (8/41 = 20%) in completing MOTYB to January, but performance in both groups differed ( p < 0.001 and p < 0.02, respectively) from patients without cognitive impairment (35/53 = 66%). Conclusion Delirium was associated with inability to engage with MOTYB and low rates of completion. In patients able to engage with the test, error-free completion rates were low in delirium and dementia. Recording of engagement and patterns of errors may add useful information to MOTYB scoring.
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Policy development for diabetes prevention in Australia Australia has one of the world's largest systematic, government-funded diabetes prevention programs. This chapter describes a federally-funded national program, a state-funded program in Victoria and an implementation trial in New South Wales. A coincidence of events, influential individuals and policy directions has led to these initiatives. The Federal, State and Territory governments come together as the Council of Australia Governments (COAG) to discuss public policy of national significance, including health care reform. In 2005 at the behest of the Australian Health Ministers' Advisory Council the National Public Health Partnership undertook economic modelling of diabetes prevention and at the same time the Australian Government Productivity Commission and State treasuries undertook analyses of the impact of chronic disease (including diabetes) on workplace productivity in Australia. Results of these economic analyses, accumulating scientific evidence of effectiveness of diabetes prevention internationally and the results of local translation research projects, particularly the Greater Green Triangle Diabetes Prevention Program 1 (GGT DPP), all strengthened the case for a national policy on diabetes risk reduction. A number of significant individuals, academics and health advocates in the field of diabetes and obesity also exerted influence on government to take action on preventing diabetes. Through the National Reform Agenda, COAG led by the Victorian government circulated a consultation document on diabetes prevention in 2006 advocating national standards for risk reduction and naming the GGT DPP 1 as the only evidence-based intervention in Australia. In April 2007 COAG agreed to work which led to national standards for lifestyle modification programs and the development of the Australian Diabetes Risk Assessment Tool (AUSDRISK) 2 . It is a ten-item questionnaire that assesses a person's risk of developing type 2 diabetes within the next five years. Items are based on the following risk factors: age, gender, country of birth, family history of diabetes, history of high blood pressure, smoking status, fruit and vegetable intake, physical activity levels, and waist circumference. A score equal to, or above 15 on AUSDRISK is considered high risk. 3 Federal, State and Territory governments agreed to fund programs to prevent and more effectively treat diabetes through the Australian health system. The Federal diabetes prevention program covers people aged 40-49 years old. Consequently New South Wales and Victorian governments have decided to fund programs for people aged 50 years and over. The Life! Taking Action on Diabetes program in Victoria and the Prevent Diabetes Live Life Well program in New South Wales are two State based lifestyle modification programs.
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We report the development and early outcomes of an innovative intervention, directed to people at risk of type 2 diabetes, delivered by fitness trainers in leisure and community settings in Middlesbrough, UK. Men and women aged 45 to 65, living in socio-economically disadvantaged areas were assessed for risk of type 2 diabetes and recruited to the intervention. Weight, height, waist circumference and physical activity were measured at baseline and six months. A social marketing campaign attracted 217 recruits. Baseline means (standard deviation; SD) were as follows: age 53.1(5.9) years, FINDRISC-score (a questionnaire-based prospective risk score to predict development of type 2 diabetes) 13.2 (3.3), body mass index 32.9 kgm2 (6.0), physical activity level 49.2 (6.4) self-report metabolic equivalent tasks (MET)-hours/day. Follow-up was completed by 144 participants with mean (SD) reduction in weight −2.2 kg (4.3) (95% confidence interval (CI) −3.0 to −1.5) and waist circumference −5.5 cm (4.5) (95% CI −6.6 to −4.5); increase in physical activity level +5.5 (5.4) (95% CI 4.5–6.4) self report MET-hours/day and variety +1.4 (1.2) (95% CI 1.1–1.6) activity types. High retention and positive outcomes at six months are indications of initial success. The interim results of this real-world intervention are comparable to early intermediate health outcomes in the European Diabetes Prevention Study (EDIPS)-Newcastle randomised controlled trial suggesting potential for translation of lifestyle intervention into practice. Longer term follow-up and controlled evaluation are warranted.
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In a qualitative substudy, we sought to elicit participants' perspectives of their behavioural change and maintenance of new behaviours towards intervention optimisation. The intervention was delivered in leisure and community settings in a local authority, which according to the UK government statistics ranks as 1 of the 10 most socioeconomically deprived areas in England. We recruited 218 adults aged 40-65 years at elevated risk of type 2 diabetes (Finnish Diabetes Risk Score≥11) to the intervention. Follow-up at 12 months was completed by 134 (62%). We recruited 15 participants, purposively sampled for physical activity increase, to the qualitative substudy. Lifestyle intervention can prevent type 2 diabetes, but translation to service provision remains challenging. The 'New life, New you' intervention aimed to promote physical activity, healthy eating and weight loss, and included supervised group physical activity sessions. Behavioural change and weight loss at 12-month follow-up were encouraging. We conducted 15 individual semistructured interviews. The Framework approach, with a comparison of emerging themes, was used in analysis of the transcribed data and complemented by the Theory Domains Framework. Themes emerging from the data were grouped as perceptions that promoted initiating, enacting and maintaining behavioural change. The data were then categorised in accordance with the Theory Domains Framework: intentions and goals; reinforcement; knowledge; social role and identity; social influences; skills and beliefs about capabilities; behavioural regulation, memory, emotion, attention and decision processes and environmental context and resources. Participant perceptions of intervention features that facilitated behavioural change processes were then similarly analysed. Social influences, reference to social role and identity (eg, peer support), and intentions and goals (eg, to lose weight) were dominant themes across the three phases of behavioural change. Reinforcement, regulation and decision processes were more evident in the maintenance phase. The socioeconomic status of participants was reflected in the environmental context and resource theme. Analysis of phases and theoretical domains of behavioural change added depth and utility to inform intervention optimisation. We will develop the intervention with improved peer support and explicit monitoring of the behavioural change techniques used, prior to a definitive trial.
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Preface to Second Edition. Mixed Model Notations. 1 Introduction. 1.1 The Use of Mixed Models. 1.2 Introductory Example. 1.3 A Multi-Centre Hypertension Trial. 1.4 Repeated Measures Data. 1.5 More aboutMixed Models. 1.6 Some Useful Definitions. 2 NormalMixed Models. 2.1 Model Definition. 2.2 Model Fitting Methods. 2.3 The Bayesian Approach. 2.4 Practical Application and Interpretation. 2.5 Example. 3 Generalised Linear MixedModels. 3.1 Generalised Linear Models. 3.2 Generalised Linear Mixed Models. 3.3 Practical Application and Interpretation. 3.4 Example. 4 Mixed Models for Categorical Data. 4.1 Ordinal Logistic Regression (Fixed Effects Model). 4.2 Mixed Ordinal Logistic Regression. 4.3 Mixed Models for Unordered Categorical Data. 4.4 Practical Application and Interpretation. 4.5 Example. 5 Multi-Centre Trials and Meta-Analyses. 5.1 Introduction to Multi-Centre Trials. 5.2 The Implications of using Different Analysis Models. 5.3 Example: A Multi-Centre Trial. 5.4 Practical Application and Interpretation. 5.5 Sample Size Estimation. 5.6 Meta-Analysis. 5.7 Example: Meta-analysis. 6 RepeatedMeasures Data. 6.1 Introduction. 6.2 Covariance Pattern Models. 6.3 Example: Covariance Pattern Models for Normal Data. 6.4 Example: Covariance Pattern Models for Count Data. 6.5 Random Coefficients Models. 6.6 Examples of Random Coefficients Models. 6.7 Sample Size Estimation. 7 Cross-Over Trials. 7.1 Introduction. 7.2 Advantages of Mixed Models in Cross-Over Trials. 7.3 The AB/BA Cross-Over Trial. 7.4 Higher Order Complete Block Designs. 7.5 Incomplete Block Designs. 7.6 Optimal Designs. 7.7 Covariance Pattern Models. 7.8 Analysis of Binary Data. 7.9 Analysis of Categorical Data. 7.10 Use of Results from Random Effects Models in Trial Design. 7.11 General Points. 8 Other Applications of MixedModels. 8.1 Trials with Repeated Measurements within Visits. 8.2 Multi-Centre Trials with Repeated Measurements. 8.3 Multi-Centre Cross-Over Trials. 8.4 Hierarchical Multi-Centre Trials and Meta-Analysis. 8.5 Matched Case-Control Studies. 8.6 Different Variances for Treatment Groups in a Simple Between-Patient Trial. 8.7 Estimating Variance Components in an Animal Physiology Trial. 8.8 Inter- and Intra-Observer Variation in Foetal Scan Measurements. 8.9 Components of Variation and Mean Estimates in a Cardiology Experiment. 8.10 Cluster Sample Surveys. 8.11 Small AreaMortality Estimates. 8.12 Estimating Surgeon Performance. 8.13 Event History Analysis. 8.14 A Laboratory Study Using aWithin-Subject 4 x 4 Factorial Design. 8.15 Bioequivalence Studies with Replicate Cross-Over Designs. 8.16 Cluster Randomised Trials. 9 Software for Fitting MixedModels. 9.1 Packages for Fitting Mixed Models. 9.2 Basic use of PROC MIXED. 9.3 Using SAS to Fit Mixed Models to Non-Normal Data. Glossary. References. Index.
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This textbook, edited by Jane RITCHIE and Jane LEWIS, is meant for both students and researchers, but be- cause it primarily presents basic knowledge it is more sui- table for students. It is intended to lead practitioners through the process of qualitative research, i.e. from the design of a study, conducting of in-depth interviews and analysis of da- ta to the presentation of results. The authors impart in a pro- fessional way both broad theoretical knowledge and practi- ce-oriented information. They do not provide the reader with an overview of qualitative methods, but focus on in- depth interviews and so-called focus groups.