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Abstract
Objective To understand the gender-specific factors that uniquely contribute to successful ageing in a US population of men and women, 57–85 years of age. This was achieved through the examination of the correlates of subjective well-being defined by health-related quality of life (HRQoL), across several biological and psychosocial determinants of health.
Design Cross-sectional study.
Setting The National Social Life, Health and Ageing Project (NSHAP), 2010–2011 a representative sample of the US population.
Participants 3377 adults aged 57–85 (1538 men, 1839 women) from the NSHAP.
Main outcome measures The biopsychosocial factors of biological/physiological function, symptom status, functional status, general health perceptions and HRQoL happiness.
Method HRQoL was measured using the NSHAP wave 2 multistage, stratified area probability sample of US households (n=3377). Variable selection was guided by the Wilson and Cleary model (WCM) that classifies health outcomes at five main levels and characteristics.
Results Our findings indicate differences in biopsychosocial factors comprised in the WCM and their relative importance and unique impact on HRQoL by gender. Women reported significantly lower HRQoL than men (t=3.5, df=3366). The most significant contributors to HRQoL in women were mental health (B=0.31; 0.22, 0.39), loneliness (B=−0.26; −0.35, –0.17), urinary incontinence (B=−0.22; −0.40, –0.05) and support from spouse/partner (B=0.27; 0.10, 0.43) and family B=0.12; 0.03, 0.20). Men indicated mental health (B=0.21; 0.14, 0.29), physical health (B=0.17; 0.10, 0.23), functional difficulties (B=0.38; 0.10, 0.65), loneliness (B=−0.20; −0.26, –0.12), depression (B=−0.36; −0.58, –0.15) and support from friends (B=0.06; 0.10, 0.11) as significant contributors. Those with greater social support had better HRQoL (F=4.22, df=4). Lack of companionship and reliance on spouse/partner were significant HRQoL contributors in both groups.
Conclusion Our findings offer insight into ageing, gender and subjective well-being. The results provide an opportunity to identify biopsychosocial factors to inform interventions to support successful ageing.
- aging
- well-being
- gender differences
- health-related quality of life
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Footnotes
Contributors The first author (MO) designed the work and analysed the data. All authors assisted substantially in the data interpretation (MO, ND, OO, MP and RB), manuscript drafting (MO), revising for important intellectual content (MO, ND, OO, MP, RB and DB), final manuscript approval (MO, ND, OO, MP, RB and DB) and agreed accountability for all aspects of this work (MO, ND, OO, MP, RB and DB).
Funding The National Social Life, Health and Aging Project is supported by the National Institute on Aging of the National Institutes of Health (R37AG030481; R01AG033903).
Disclaimer The content is the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Competing interests None declared.
Patient consent Not required.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement Wave 2 Public Use File V.1 data for the National Social Life Health and Aging Project are available at http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/34921.