» Articles » PMID: 29908857

Midlife Contributors to Socioeconomic Differences in Frailty During Later Life: a Prospective Cohort Study

Overview
Specialty Public Health
Date 2018 Jun 18
PMID 29908857
Citations 40
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Health inequalities persist into old age. We aimed to investigate risk factors for socioeconomic differences in frailty that could potentially be modified through policy measures.

Methods: In this multi-wave longitudinal cohort study (Whitehall II study), we assessed participants' socioeconomic status, behavioural and biomedical risk factors, and disease status at age 45-55 years, and frailty (defined according to the Fried phenotype) at baseline and at one or more of three clinic visits about 18 years later (mean age 69 years [SD 5·9]). We used logistic mixed models to examine the associations between socioeconomic status and risk factors at age 50 years and subsequent prevalence of frailty (adjusted for sex, ethnic origin, and age), with sensitivity analyses and multiple imputation for missing data.

Findings: Between Sept 9, 2007, and Dec 8, 2016, 6233 middle-aged adults were measured for frailty. Frailty was present in 562 (3%) of 16 164 person-observations, and varied by socioeconomic status: 145 (2%) person-observations had high socioeconomic status, 241 (4%) had intermediate status, and 176 (7%) had low socioeconomic status, adjusting for sex and age. Risk factors for frailty included cardiovascular disease, depression, smoking, high or abstinent alcohol consumption, low fruit and vegetable consumption, physical inactivity, poor lung function, hypertension, and overweight or obesity. Cardiometabolic markers for future frailty were high ratio of total to high-density lipoprotein cholesterol, and raised interleukin-6 and C-reactive protein concentrations. The five most important factors contributing to the frailty gradient, assessed by percent attenuation of the association between socioeconomic status and frailty, were physical activity (13%), interleukin-6 (13%), body-mass index category (11%), C-reactive protein (11%), and poor lung function (10%). Overall, socioeconomic differences in frailty were reduced by 40% in the maximally-adjusted model compared with the minimally-adjusted model.

Interpretation: Behavioural and cardiometabolic risk factors in midlife account for more than a third of socioeconomic differences in frailty. Our findings suggest that interventions targeting physical activity, obesity, smoking, and low-grade inflammation in middle age might reduce socioeconomic differences in later-life frailty.

Funding: British Heart Foundation and British Medical Research Council.

Citing Articles

Subjective social status and trajectories of frailty: findings from the English Longitudinal Study of Ageing.

Maharani A, Richards L, Prag P BMJ Public Health. 2025; 2(1):e000629.

PMID: 40018158 PMC: 11812829. DOI: 10.1136/bmjph-2023-000629.


Life course socioeconomic position and care dependency in later life: a longitudinal multicohort study from 17 countries.

Pan T, Li C, Zhou Y EClinicalMedicine. 2024; 79:102994.

PMID: 39737217 PMC: 11683273. DOI: 10.1016/j.eclinm.2024.102994.


Socioeconomic status and depression in later life: longitudinal mediation effects of activities of daily living.

Zheng X, Yin Y, Yang L, Zhang X, Xiao S, Liang X BMC Psychiatry. 2024; 24(1):625.

PMID: 39334068 PMC: 11428304. DOI: 10.1186/s12888-024-06077-4.


Nutritional Interventions in Older Persons with Type 2 Diabetes and Frailty: A Scoping Systematic Review.

Giraldo Gonzalez G, Gonzalez Robledo L, Jaimes Montana I, Benjumea Salgado A, Pico Fonseca S, Arismendi Solano M J Cardiovasc Dev Dis. 2024; 11(9).

PMID: 39330347 PMC: 11605221. DOI: 10.3390/jcdd11090289.


Animal Models Relevant for Geroscience: Current Trends and Future Perspectives in Biomarkers, and Measures of Biological Aging.

Bartolomucci A, Kane A, Gaydosh L, Razzoli M, McCoy B, Ehninger D J Gerontol A Biol Sci Med Sci. 2024; 79(9).

PMID: 39126297 PMC: 11316208. DOI: 10.1093/gerona/glae135.


References
1.
Mackenbach J . The persistence of health inequalities in modern welfare states: the explanation of a paradox. Soc Sci Med. 2012; 75(4):761-9. DOI: 10.1016/j.socscimed.2012.02.031. View

2.
Gill T, Gahbauer E, Han L, Allore H . Trajectories of disability in the last year of life. N Engl J Med. 2010; 362(13):1173-80. PMC: 2877372. DOI: 10.1056/NEJMoa0909087. View

3.
Soler-Vila H, Garcia-Esquinas E, Leon-Munoz L, Lopez-Garcia E, Banegas J, Rodriguez-Artalejo F . Contribution of health behaviours and clinical factors to socioeconomic differences in frailty among older adults. J Epidemiol Community Health. 2015; 70(4):354-60. DOI: 10.1136/jech-2015-206406. View

4.
Batty G, Shipley M, Tabak A, Singh-Manoux A, Brunner E, Britton A . Generalizability of occupational cohort study findings. Epidemiology. 2014; 25(6):932-3. DOI: 10.1097/EDE.0000000000000184. View

5.
Brunner E, Welch C, Shipley M, Ahmadi-Abhari S, Singh-Manoux A, Kivimaki M . Midlife Risk Factors for Impaired Physical and Cognitive Functioning at Older Ages: A Cohort Study. J Gerontol A Biol Sci Med Sci. 2016; 72(2):237-242. PMC: 5233910. DOI: 10.1093/gerona/glw092. View