Arun S. Hendi's research while affiliated with Princeton University and other places
What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
Publications (17)
The disparity in life expectancy between white and black Americans exceeds five years for men and three years for women. While prior research has investigated the roles of healthcare, health behaviors, biological risk, socioeconomic status, and life course effects on black mortality, the literature on the geographic origins of the gap is more limit...
BACKGROUND
While the use of standard errors and confidence intervals is common in regression-based studies in the population sciences, it is far less common in studies using formal demographic measures and methods, including demographic decompositions.
OBJECTIVE
This article describes and provides explicit instructions for using four different app...
Background
Geographic inequality in US mortality has increased rapidly over the last 25 years, particularly between metropolitan and nonmetropolitan areas. These gaps are sizeable and rival life expectancy differences between the US and other high-income countries. This study determines the contribution of smoking, a key contributor to premature mo...
Despite the immigrant mortality advantage and the increasing share of the population born abroad, relatively little is known about how immigration has impacted trends in US life expectancy. How immigrants contribute to national life expectancy trends is of increasing interest, particularly in the context of an unprecedented stagnation in American m...
Recent research has proposed that shifting education distributions across cohorts are influencing estimates of educational gradients in mortality. We use data from the United States and Finland covering four decades to explore this assertion. We base our analysis around our new finding: a negative logarithmic relationship between relative education...
Objectives:
To examine trends in inequality in life expectancy and age-specific death rates across 40 US spatial units from 1990 to 2016.
Methods:
We use multiple cause-of-death data from vital statistics to estimate measures of inequality in mortality across metropolitan status and geographic region. We consider trends for 5-year age intervals...
This study examines proximate sources of change in first-marriage trajectories in the United States between 1960 and 2010. This was a period of tremendous social change: divorce became more common, people started marrying later or not marrying at all, innovations in medicine and changes in social and behavioral factors led to reduced mortality, ine...
Supplementary information: tables A1-4, figures A1-3, and data and methodological appendix
Objectives
To assess whether declines in life expectancy occurred across high income countries during 2014-16, to identify the causes of death contributing to these declines, and to examine the extent to which these declines were driven by shared or differing factors across countries.
Design
Demographic analysis using aggregated data.
Setting
Vit...
The rise of the global network of nation-states has precipitated social transformations throughout the world. This article examines the role of political and economic globalization in driving fertility convergence across countries between 1965 and 2009. While past research has typically conceptualized fertility change as a country-level process, th...
Several recent articles have reported conflicting conclusions about educational differences in life expectancy, and this is partly due to the use of unreliable data subject to a numerator-denominator bias previously reported as ranging from 20 % to 40 %. This article presents estimates of life expectancy and lifespan variation by education in the U...
Background:
I examined age patterns and the role of shifting educational distributions in driving trends in educational gradients in life expectancy among non-Hispanic Whites between 1991 and 2005.
Methods:
Data were from the 1986-2004 National Health Interview Survey with mortality follow-up through 2006. Life expectancies were computed by sex,...
Objectives:
We examined 5 health outcomes among Black children born to US-born and foreign-born mothers and whether differences by mother's region of birth could be explained by maternal duration of US residence, child's place of birth, and familial sociodemographic characteristics.
Methods:
Data were from the 2000-2011 National Health Interview...
This dissertation examines three contemporary social phenomena—globalization, the rise of secondary and tertiary education, and dramatic changes in marriage and divorce—and their relation to key demographic processes. This set of topics is purposely broad, in order to demonstrate the importance of interlinkages between demography and the social wor...
We analyze convergence across countries over the last half century as a result of globalizing forces. Drawing on theories of modernization, dependency, the world-system, political trade blocs, and the world-society, we consider economic, demographic, knowledge, financial, and political dimensions of convergence. Using a new methodology, we calculat...
Citations
... Didier et al may be driven by a decrease in smoking rates during this time period. 17,18 Additionally, the decrease in lung cancer mortality seen in our study is also explained by advances in treatment and survival. One study used the SEER database to assess lung cancer 2-year survival. ...
... Previous studies have documented lower mortality among foreign-born US residents than among their US-born counterparts (Blue and Fenelon 2011;Hendi and Ho 2021;Mehta et al. 2016;Singh and Miller 2004). Prior to the pandemic, smoking-related causes, cardiovascular diseases, and external causes contributed to the foreign-born mortality advantage (Fenelon 2013;Lariscy, Hummer, and Hayward 2014;Singh and Siahpush 2002). ...
... However, it is important to note that increasing educational disparities in life expectancy have been observed within high-income settings already experiencing increasing educational attainment. 47 These disparities are seen in our analyses by birth cohort and in existing studies. 48 Although there are benefits to increasing educational attainment broadly across populations, it is important to apply the proportionate universalism principle 49 to investments in education to address existing and increasing health inequalities. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/273759517016067-1442280763693_Q64/Irma-Elo.jpg)
... Several factors of influence on LE seem generic, although the combination of these and the influence of still of other factors may very well contribute in different ways to regional or local LE trends in time. LE is often investigated at a macro geographic level e.g. at the scale of a country [9] or a large region [10,11]. ...
... G31.2, G62.1, G72.1, I42.6, K70, R78.0, X45, X65, Y15); and homicide (X86-Y09, Y87.1). Consistent with other studies, we included suicides and homicides involving drug poisoning in the drug poisoning count (Elo, Hendi, Ho, Vierboom, & Preston, 2019;Monnat, 2020; National Academies of Sciences, Engineering, and Medicine, 2021). We computed age-adjusted mortality rates (deaths per 100,000 population) for each county using 10-year age intervals. ...
... Family life plays an important role in determining well-being and shaping decisions about working life. 1 2 Also, major changes in the family situation, such as marriage, the birth of a child, which can be considered as positive events, or from the negative perspective, divorce, have implications for an individual's health and help to structure the human life course. [3][4][5] Focusing on the positive aspects of family situation that can be retrieved from national registers of family formation, previous research has found that individuals living with a partner and being in paid work are associated with better health outcomes when measured in terms of morbidity and mortality. 6 7 Marriage is deemed to offer a direct form of social and financial support and it can reduce the risk of unhealthy behaviours, such as poor diet or alcohol use. ...
... Most highincome countries experienced a decline in life expectancy during 2014-15. However, most of these countries experienced an increase in 2015-2016 (Ho and Hendi, 2018). In 2019, the average life expectancy in Indonesia was 73.3 years for women and 69.4 years for men. ...
... Although these policies have opened up a new era in the field of population and family planning, they may not quickly change people's reproductive concepts after more than 30 years of low fertility rate and birth control [8], i.e., as reported by Liu et al., no obvious increase in the fertility rate was brought about by the universal two-child policy [9]. Indeed, population policy is not the only important factor that affects fertility and some studies have suggested that social and economic factors are becoming more important than policy factors [10,11]. This provides a new perspective for the relevant research. ...
... Bias arises from using dif fer ent data sources for the numer a tor and denom i na tor when the reporting of a given trait (e.g., race and eth nic ity) might sys tem at i cally dif fer between the two. Analyses of this type of bias in U.S. data gen er allyfocusondif fer encesinedu ca tionalclas si fi ca tionindeathcer tifi catesver sus pop u la tion data (Hendi 2017;Ho 2017;Sorlie and Johnson 1996). However, the lit er a tureonracialflu id ityandshiftingself-iden ti fi ca tion,includ ingwithinsur veys andcensuses,justifiesanexten sionofsuchconsiderationstoraceandeth nic itydata (Craemer 2010;Farley 2011;Harris and Sim 2002;Hitlin et al. 2006;Saperstein and Penner 2012). ...
... Further research is necessary to determine whether this phenomenon reflects an increasing detrimental effect of lower education on these health behaviors or the growing selection of individuals with unhealthy behaviors into lower-educated groups. This inquiry aligns with the ongoing debate surrounding the influence of changing population compositions and associated selection bias on the trends in education-related health disparities (Dowd & Hamoudi, 2014;Hendi 2015;Montez & Zajacova, 2014;Zheng, 2020). While our study regarding smoking appears to support the selection narrative, it does not necessarily imply a parallel pattern for other health behaviors. ...
