Bachelors, divorcees, and widowers: does marriage protect men from type 2 diabetes?

PubWeight™: 0.79‹?›

🔗 View Article (PMC 4167705)

Published in PLoS One on September 17, 2014

Authors

Marilyn C Cornelis1, Stephanie E Chiuve1, M Maria Glymour2, Shun-Chiao Chang3, Eric J Tchetgen Tchetgen4, Liming Liang4, Karestan C Koenen5, Eric B Rimm6, Ichiro Kawachi3, Laura D Kubzansky3

Author Affiliations

1: Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America.
2: Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California, United States of America.
3: Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, United States of America.
4: Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
5: Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America.
6: Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America; Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.

Articles cited by this

Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care (1997) 49.11

Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc (2000) 39.79

Marginal structural models and causal inference in epidemiology. Epidemiology (2000) 33.54

Social relationships and health. Science (1988) 21.36

A structural approach to selection bias. Epidemiology (2004) 16.44

Classification and diagnosis of diabetes mellitus and other categories of glucose intolerance. National Diabetes Data Group. Diabetes (1979) 12.35

Validity of self-reported waist and hip circumferences in men and women. Epidemiology (1990) 10.57

Marriage and health: his and hers. Psychol Bull (2001) 9.47

Dietary fat and coronary heart disease: a comparison of approaches for adjusting for total energy intake and modeling repeated dietary measurements. Am J Epidemiol (1999) 9.34

Prospective study of alcohol consumption and risk of coronary disease in men. Lancet (1991) 8.64

Fallibility in estimating direct effects. Int J Epidemiol (2002) 8.34

Impact of overweight on the risk of developing common chronic diseases during a 10-year period. Arch Intern Med (2001) 7.07

Globalization of diabetes: the role of diet, lifestyle, and genes. Diabetes Care (2011) 6.48

Physical activity and television watching in relation to risk for type 2 diabetes mellitus in men. Arch Intern Med (2001) 6.23

Gender, marital status and the social control of health behavior. Soc Sci Med (1992) 5.02

Trends in the prevalence and ratio of diagnosed to undiagnosed diabetes according to obesity levels in the U.S. Diabetes Care (2004) 4.84

Reproducibility and validity of a self-administered physical activity questionnaire for male health professionals. Epidemiology (1996) 4.37

Health outcomes of bereavement. Lancet (2007) 4.05

Risk of acute myocardial infarction after the death of a significant person in one's life: the Determinants of Myocardial Infarction Onset Study. Circulation (2012) 2.44

Prospective study of the association of changes in dietary intake, physical activity, alcohol consumption, and smoking with 9-y gain in waist circumference among 16 587 US men. Am J Clin Nutr (2003) 2.29

Cross-sectional and longitudinal associations between body mass index and marriage-related factors. Obes Res (2002) 1.79

Effects of marital transitions on changes in dietary and other health behaviours in US male health professionals. J Epidemiol Community Health (2005) 1.73

Marital status changes and body weight changes: a US longitudinal analysis. Soc Sci Med (2003) 1.58

Prevalence of type 2 diabetes mellitus in Iran and its relationship with gender, urbanisation, education, marital status and occupation. Singapore Med J (2008) 1.52

Entry into romantic partnership is associated with obesity. Obesity (Silver Spring) (2009) 1.31

Prospective study of zinc intake and risk of type 2 diabetes in women. Diabetes Care (2009) 1.30

Health behaviours explain part of the differences in self reported health associated with partner/marital status in The Netherlands. J Epidemiol Community Health (1995) 1.19

Widowhood and mortality: a meta-analysis. PLoS One (2011) 1.16

Spouses' attempts to regulate day-to-day dietary adherence among patients with type 2 diabetes. Health Psychol (2012) 1.12

Marital protection and marital selection: evidence from a historical-prospective sample of American men. Demography (2000) 1.08

Heightened mortality after the death of a spouse: marriage protection or marriage selection? J Health Econ (2008) 0.96

In fitness and health? A prospective study of changes in marital status and fitness in men and women. Am J Epidemiol (2010) 0.93

Chronic disease prevalence and associations in a cohort of Australian men: the Florey Adelaide Male Ageing Study (FAMAS). BMC Public Health (2008) 0.84

Correlates of adverse outcomes in abdominally obese individuals: findings from the five-year followup of the population-based study of health in Pomerania. J Obes (2013) 0.77

Are there associations between socio-economic status and known diabetes in an elderly Finnish population? Cent Eur J Public Health (2005) 0.77

Articles by these authors

Genome-wide meta-analysis identifies regions on 7p21 (AHR) and 15q24 (CYP1A2) as determinants of habitual caffeine consumption. PLoS Genet (2011) 1.77

Social participation and the prevention of functional disability in older Japanese: the JAGES cohort study. PLoS One (2014) 1.43

Post diagnosis diet quality and colorectal cancer survival in women. PLoS One (2014) 0.84

Pediatric health-related quality of life: a structural equation modeling approach. PLoS One (2014) 0.83

Unequally distributed psychological assets: are there social disparities in optimism, life satisfaction, and positive affect? PLoS One (2015) 0.80

National economic development and disparities in body mass index: a cross-sectional study of data from 38 countries. PLoS One (2014) 0.79

The effects of stress at work and at home on inflammation and endothelial dysfunction. PLoS One (2014) 0.79

School social fragmentation, economic deprivation and social cohesion and adolescent physical inactivity: a longitudinal study. PLoS One (2014) 0.79

School programs and characteristics and their influence on student BMI: findings from healthy passages. PLoS One (2014) 0.78

Life course socioeconomic position and C-reactive protein: mediating role of health-risk behaviors and metabolic alterations. The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). PLoS One (2014) 0.78

The bright side and dark side of workplace social capital: opposing effects of gender on overweight among Japanese employees. PLoS One (2014) 0.78

Perceptions of neighborhood safety and asthma among children and adolescents in Los Angeles: a multilevel analysis. PLoS One (2014) 0.76

School- and Individual-level Predictors of Weight Status Misperception among Korean Adolescents: A National Online Survey. PLoS One (2016) 0.75