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Dive into the research topics where Glen E. Duncan is active.

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Featured researches published by Glen E. Duncan.


eLife | 2016

Genetic and environmental influences on adult human height across birth cohorts from 1886 to 1994

Aline Jelenkovic; Yoon-Mi Hur; Reijo Sund; Yoshie Yokoyama; Sisira Siribaddana; Matthew Hotopf; Athula Sumathipala; Fruhling Rijsdijk; Qihua Tan; Dongfeng Zhang; Zengchang Pang; Sari Aaltonen; Kauko Heikkilä; Sevgi Yurt Oncel; Fazil Aliev; Esther Rebato; David Laszlo Tarnoki; Kaare Christensen; Axel Skytthe; Kirsten Ohm Kyvik; Judy L. Silberg; Lindon J. Eaves; Hermine H. Maes; Tessa L. Cutler; John L. Hopper; Juan R. Ordoñana; Juan F. Sánchez-Romera; Lucía Colodro-Conde; Wendy Cozen; Amie E. Hwang

Human height variation is determined by genetic and environmental factors, but it remains unclear whether their influences differ across birth-year cohorts. We conducted an individual-based pooled analysis of 40 twin cohorts including 143,390 complete twin pairs born 1886–1994. Although genetic variance showed a generally increasing trend across the birth-year cohorts, heritability estimates (0.69-0.84 in men and 0.53-0.78 in women) did not present any clear pattern of secular changes. Comparing geographic-cultural regions (Europe, North America and Australia, and East Asia), total height variance was greatest in North America and Australia and lowest in East Asia, but no clear pattern in the heritability estimates across the birth-year cohorts emerged. Our findings do not support the hypothesis that heritability of height is lower in populations with low living standards than in affluent populations, nor that heritability of height will increase within a population as living standards improve. DOI: http://dx.doi.org/10.7554/eLife.20320.001


Journal of Epidemiology and Community Health | 2018

Associations between neighbourhood characteristics and depression: a twin study

Hannah Cohen-Cline; Shirley A. A. Beresford; Wendy E. Barrington; Ross L. Matsueda; Jon Wakefield; Glen E. Duncan

Background Depression is an important contributor to the global burden of disease. Besides several known individual-level factors that contribute to depression, there is a growing recognition that neighbourhood environment can also profoundly affect mental health. This study assessed associations between three neighbourhood constructs—socioeconomic deprivation, residential instability and income inequality—and depression among adult twin pairs. The twin design is used to examine the association between neighbourhood constructs and depression, controlling for selection factors (ie, genetic and shared environmental factors) that have confounded purported associations. Methods We used multilevel random-intercept Poisson regression among 3738 same-sex twin pairs from a community-based twin registry to examine the association between neighbourhood constructs and depression. The within-pair association controls for confounding by genetic and environmental factors shared between twins within a pair, and is the main parameter of interest. Models were adjusted for individual-level income, education and marital status, and further by neighbourhood-level population density. Results When twins were analysed as individuals (phenotypic model), all neighbourhood constructs were significantly associated with depression. However, only neighbourhood socioeconomic deprivation showed a significant within-pair association with depression. A 10-unit within-pair difference in neighbourhood socioeconomic deprivation was associated with 6% greater depressive symptoms (1.06, 95% CI 1.01 to 1.11); the association did not substantially change in adjusted models. Conclusion This study provides new evidence linking neighbourhood socioeconomic deprivation with greater depression. Future studies should employ longitudinal designs to better test social causation versus social selection.


European Journal of Pain | 2018

Familial factors predicting recovery and maintenance of physical activity in people with low back pain: Insights from a population-based twin study

Joshua Robert Zadro; Debra Shirley; Glen E. Duncan; Paulo H. Ferreira

It is unknown how familial factors influence the recovery from low back pain (LBP) and the maintenance activity behaviours. We aimed to investigate whether individual and within‐family physical activity (PA) and sedentary behaviour influenced recovery from LBP, and maintenance of PA and sedentary behaviour in people with and without LBP.


Preventive Medicine | 2017

Neighborhood walkability moderates the association between low back pain and physical activity: A co-twin control study.

Joshua Robert Zadro; Debra Shirley; Marina B. Pinheiro; Adrian Bauman; Glen E. Duncan; Paulo H. Ferreira

The aim of this study was to investigate whether neighborhood walkability moderates the association between low back pain (LBP) and physical activity (PA), using a co-twin design to control for genetics and shared environmental factors. A cross-sectional analysis was performed on 10,228 twins from the Washington State Twin Registry with available data on LBP from recruitment surveys between 2009 and 2013. LBP within the past 3months was our exposure variable. Our outcome variables were sufficient moderate or vigorous-intensity PA (MVPA, defined as at least 75min of vigorous-intensity PA, or 150min of moderate-intensity PA per week), and walking (≥150min per week). Neighborhood walkability, estimated using the commercially available Walk Score®, was our moderator variable. After controlling for the influence of genetics and shared environment, individuals reporting LBP were significantly less likely to engage in sufficient MVPA if they lived in a neighborhood with high walkability (OR=0.59, 95%CI: 0.36-0.96). There was no association between LBP and sufficient MVPA for individuals living in a neighborhood with low walkability (OR=1.27, 95%CI: 0.93-1.72), demonstrating that walkability is a significant moderator of the association between LBP and PA (interaction p=0.013). These findings were similar for the association between LBP and walking (high walkability OR=0.42, 95%CI: 0.22-0.78; low walkability OR=0.71, 95%CI: 0.46-1.12), although the interaction was not significant (p=0.700). Neighborhood walkability moderates the association between LBP and PA. Our results highlight the importance of targeting interventions promoting PA towards individuals with LBP living in a neighborhood with good walkable access to amenities.


Proceedings of the IEEE | 2018

Using Smart City Technology to Make Healthcare Smarter

Diane J. Cook; Glen E. Duncan; Gina Sprint; Roschelle Fritz

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Amie E. Hwang

University of Southern California

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Diane J. Cook

Washington State University

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Gina Sprint

Washington State University

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Hermine H. Maes

Virginia Commonwealth University

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Jon Wakefield

University of Washington

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Judy L. Silberg

Virginia Commonwealth University

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Lindon J. Eaves

Virginia Commonwealth University

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