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SSM-Population Health
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#1Rourke L. O’Brien (Yale University)H-Index: 1
#2Tiffany Neman (UW: University of Wisconsin-Madison)
Last. Atheendar S. Venkataramani (UPenn: University of Pennsylvania)H-Index: 16
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Abstract In this study, we introduce the ‘racial opportunity gap’ as a place-based measure of structural racism for use in population health research. We first detail constructing the opportunity gap using race-sex specific estimates of intergenerational economic mobility outcomes for a recent cohort. We then illustrate its utility in examining spatial variation in the racial mortality gap. First we demonstrate a correlation between the racial opportunity gap and the racial mortality gap across ...
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#1Megan R. WinklerH-Index: 4
#2Susan TelkeH-Index: 1
Last. Dianne Neumark-SztainerH-Index: 103
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Abstract Background Physical activity and sleep are two time-dependent behaviors with important health implications. The amount of time people have to engage in these behaviors may vary based on their everyday work, social circumstances (e.g., parenthood), and social location (e.g., gender). Aims The current study aimed to explore the ways work, social circumstances, and social locations combine that lead to heterogeneity in the time-dependent health behaviors of physical activity and time spent...
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#2Michael R. Elliott (UM: University of Michigan)H-Index: 41
Last. Solveig A. CunninghamH-Index: 20
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Abstract Body mass index (BMI) is generally used to classify adiposity. Despite the fact that the consequences of adiposity for chronic health accumulate and manifest over time, most population health research exploring the implications of high BMI measures only its recent intensity. Some studies have used retrospective measures involving maximum weight, and even fewer have used BMI at multiple time points to estimate cumulative exposure to adiposity. The goal of this study was to compare BMI ex...
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#1Lisa McDaid (Glas.: University of Glasgow)H-Index: 19
#2Paul Flowers (Glas.: University of Glasgow)H-Index: 29
Last. Jamie Frankis (GCU: Glasgow Caledonian University)H-Index: 13
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Abstract Globally, gay, bisexual and other men who have sex with men (GBMSM) experience an increased burden of poor sexual, mental and physical health. Syndemics theory provides a framework to understand comorbidities and health among marginalised populations. Syndemics theory attempts to account for the social, environmental, and other structural contexts that are driving and/or sustaining simultaneous multiple negative health outcomes, but has been widely critiqued. In this paper, we conceptua...
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#1Guadalupe Marquez-Velarde (USU: Utah State University)
#2Nicole E. Jones (UF: University of Florida)
Last. Verna M. Keith (UAB: University of Alabama at Birmingham)H-Index: 2
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How do Mexicans of distinct racial backgrounds fit into the recognized patterns of racial health disparities? We conduct regression analyses using data from the 2000-2017 National Health Interview Survey to determine if Mexicans who self-identify as White or Black have a relative advantage or disadvantage in self-rated health in relation to Non-Hispanic (NH) Whites and Blacks in the U.S. Our results indicate that both Black Mexicans and White Mexicans have a significant disadvantage in relation ...
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Abstract Aims This study examined associations between neighbourhood deprivation, school commuting behaviour, a range of unhealthy behaviour indicators and overweight/obesity among 11-year-old English children. Methods Data are from wave five of the UK Millennium Cohort Study, collected in 2012. Subjects consisted of 7262 (3637 boys) 11-year-old English children. Children were classified as normal weight or overweight/obese. School commute mode (active/passive) and health behaviour indicators we...
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#1Kyle Carr (BC: Boston College)H-Index: 1
Abstract This study examined the association between two dimensions of social capital, structural and cognitive, and depression, as well as investigating their within- and between-effects. Using the Wisconsin Longitudinal Study, I applied a multi-level 2-wave longitudinal analysis, over a 7-year period, to examine these two dimensions of social capital influence on individual's depressive symptoms at both the between- and within-person levels. Results suggest both dimensions of social capital ar...
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#1Xiaoyu Li (Harvard University)H-Index: 1
#2Orfeu M. BuxtonH-Index: 35
Last. Ichiro Kawachi (Harvard University)H-Index: 127
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Abstract Procrastination is a widespread habit that has been understudied in the realm of health behaviors, especially sleep. This study aimed to examine the cross-sectional relationships between procrastination and multiple dimensions of sleep in a large national sample of US adolescents and young adults. A random sample of 8742 students from 11 US universities provided self-reports of procrastination (measured by the General Procrastination Scale-Short Form with scores ranging from 1 to 5) and...
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#1Tiffany M. Powell-Wiley (NIH: National Institutes of Health)H-Index: 16
#2Samson Y. Gebreab (NIH: National Institutes of Health)H-Index: 14
Last. Sharon K. Davis (NIH: National Institutes of Health)H-Index: 9
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Abstract Socioeconomically disadvantaged neighborhoods have been associated with poor health outcomes. Little is known about the biological mechanism by which deprived neighborhood conditions exert negative influences on health. Data from the 1999–2002 National Health and Nutrition Examination Surveys (NHANES) were used to assess the relationship between neighborhood deprivation index (NDI) and log-transformed leukocyte telomere length (LTL) via multilevel modeling to control for census tract le...
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#1Jessie X. Fan (UofU: University of Utah)H-Index: 21
#2Ming Wen (UofU: University of Utah)H-Index: 32
Last. Kelin Li (CSUDH: California State University, Dominguez Hills)H-Index: 3
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Abstract Objectives To analyze if the association between obesity and neighborhood socioeconomic status (SES) was moderated by gender and family income. Methods Data from 19,448 individuals 18 and older from the 2001–2008 National Health and Nutrition Examination Survey (NHANES) were geo-matched with social and built environment characteristics from the 2000 Census and other data sources. Objective height and weight measures were used to create body mass index (BMI) and obese status (BMI≥30). Tr...
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