Socioeconomic position and healthy ageing: A systematic review of cross-sectional and longitudinal studies

Wagg, Emma; Blyth, Fiona; Cumming, Robert G.; Khalatbari-Soltani, Saman

doi:10.1016/j.arr.2021.101365

Cited by 43 publications

(32 citation statements)

References 73 publications

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“…One key consideration of healthy aging is to reduce inequity ( 25 ), so a reliable healthy aging scale should be sensitive to change over time ( 5 ) and variations in sociodemographic characteristics of older adults. Although they employed different methods, previous studies have indicated that substantial variation exists in healthy aging across sociodemographic characteristics ( 8 , 21 , 26 , 27 ) including sex, age, education, marital status, and income/wealth. Research has also found that sociodemographic characteristics are associated with healthy aging trajectories ( 28 – 30 ).…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of a Multidimensional Population-Based Healthy Aging Scale: Results From the China Health and Retirement Longitudinal Study

Gao

Chen

et al. 2022

Front. Med.

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BackgroundThe World Health Organization proposed a multidimensional concept of healthy aging in 2015; there was limited evidence about how the concept was constructed and measured. The current study aims to develop a health aging scale (HAS) following the WHO framework and validate it using data from the China Health and Retirement Longitudinal Study (CHARLS).MethodsA total of 13,233 adults aged ≥ 45 years old from the CHARLS included in current study. Based on the WHO framework, 37 self-reported indicators were used to determine healthy aging. Exploratory factor analysis and second-order and bi-factor modeling, as well as psychometric coefficients, were used to examine the structure of healthy aging. To assess concurrent validity of the HAS, regression analyses were used to examine the associations of HAS and its subscales with sociodemographic characteristics, health conditions, healthcare utilization and life satisfaction in Wave 1. The predictive validity of HAS and subscales was assessed by their associations with mortality in Wave 2 follow-up using Cox regressions.ResultsThe general HAS and its five subscales were generated according to bi-factor modeling [CFI = 0.949; TLI = 0.942; SRMSR = 0.030; and RMSEA = 0.033 (95% CI, 0.032–0.034)] and psychometric coefficients (ω = 0.903; ωH = 0.692; ECV = 0.459). The general HAS presented solid evidence of concurrent validity with various sociodemographic characteristics, health conditions, healthcare utilization and life satisfaction; and predictive validity with mortality.ConclusionsThe population-based multidimensional healthy aging scale and its subscales can be used to monitor the trajectories of general healthy aging and its subdomains to support the development of healthy aging policies and interventions.

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Section: Discussionmentioning

confidence: 99%

Development and Validation of a Multidimensional Population-Based Healthy Aging Scale: Results From the China Health and Retirement Longitudinal Study

Gao

Chen

et al. 2022

Front. Med.

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“…These ﬁgures have a background of inequity, since although life expectancy has increased, as proposed by Arrubla Sánchez (2010) , “it is not enough to live longer, it is necessary to live old age with quality” (p. 231), and this old age is the reﬂection of social, economic, cultural and political conditions of each society, of government decisions, and of how aging is seen, that is, if it is from a fatalistic notion, in which it is considered a problem that contributes to the slowdown of progress and the pressure on the health and social security system, or if it is seen from the notion of democratization of aging , in which it is recognized that older adults have made their contribution to society and it is necessary to work for the guarantee of their human rights, their independence and their autonomy, which inevitably implies considering the unequal access and possession of resources ( Arrubla Sánchez, 2010 ). Although the concept of democratization of aging is not very widespread, the concept of healthy aging has made visible the inﬂuence socioeconomic inequities, educational level, and income have on aging ( Wagg et al, 2021 ), which goes from hand in hand with the current World Health Organization calls for the Decade of Healthy Aging 2020-2030 (2020).…”

Section: Discussionmentioning

confidence: 99%

Factors Associated with Happiness in Rural Older Adults: An Exploratory Study

Arias-Monsalve

Arias-Valencia

León

et al. 2022

Int. j. psychol. res.

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Introduction: Aging is a phenomenon that has increased worldwide as a result of a higher life expectancy, evidencing situations typical of this stage, which can impact the happiness of individuals, who deserve attention and approach from mental health and public health. Objective: To explore the association between sociodemographic characteristics, medical history and symptoms, emotional state, social support, cognitive performance, and functional dependence, in relation to happiness in older adults in a rural area of Túquerres, Nariño. Method: Cross-sectional study of association. Results: There were 252 records in total, corresponding to the data of rural older adults. A multivariate linear regression was performed, finding an association with happiness in the variables of age (βa = 0.41; CI95% 0.09–0.73), socioeconomic level (βa = -0.22; C95% -0.58 – 0, 13), education level (βa = 0.41; 95% CI -0.68 – 1.49), occupation (βa = 0.59; 95% CI -0.48 – 1.67), having chronic disease (βa = 0.42; 95% CI 0.12–0.73), breathing difficulties (βa = -0.25; 95% CI -0.51–0.02), joint pain (βa = 0, 55; 95% CI 0.26 – 0.83), depression symptoms (βa = -0.21; 95% CI -0.48 – 0.06]) or anxiety (βa = 0.40; 95% CI 0 .72 – 0.07), and social support (βa = -0.27; CI95% -0.52 – -0.02). Discussion: this population has unfavorable socioeconomic and health conditions that impact their perception of happiness. Conclusion: happiness is a multicausal phenomenon that in older adults is part of the result of the interaction of variables and historical decisions at a political, economic, and social level.

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“…A bias may be less for diagnosed chronic conditions than for selfreported health. Some variables, such as mental or cognitive activity and socioeconomic status [8,[11][12][13], that have been shown to influence HA were not assessed and should be in-cluded in future research. The assessment of cognitive functioning used only two questions, and future studies may use the Mini-Mental State Exam (MMSE) for general cognitive evaluation.…”

Section: Discussionmentioning

confidence: 99%

“…Sociodemographic factors associated with HA may include younger age [8,11,12], male sex [8,11,12], higher income/wealth [8,[12][13][14][15], ethnicity [7] and urban residence [16]. In addition, various health behaviours associated with HA have been found, including not smoking [17], alcohol consumption [8], physical activity [12,[17][18][19], healthy diet [20] and a normal body mass index [17].…”

Section: Introductionmentioning

confidence: 99%

Ethnic and Gender Disparities in Healthy Ageing among People 50 Years and Older in South Africa

Pengpid

Peltzer

2021

Geriatrics

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Objective: this study aimed to determine the prevalence and correlates of healthy ageing in older adults living in the community in South Africa. Methods: the cross-sectional sample consisted of 3734 individuals (≥50 years) from the cross-sectional South African National Health and Nutrition Survey (SANHANES-1) in 2011–2012. Healthy ageing was assessed using a multidimensional concept, which includes five components: (1) absence of major illness, (2) absence of disability, (3) good mental health, (4) social engagement and (5) well-being or good health. Results: in general, 36.6% had a healthy ageing, including 73.3% had no major diseases, 87.1% were free of disability, 62.3% had good mental health, 73.0% were socially engaged and 64.0% had a high well-being. In the adjusted logistic regression analysis, male sex (Adjusted Odds Ratio-AOR: 1.33, 95% confidence interval-CI: 1.03–1.72), white population group (AOR: 3.46, 95% CI: 2.29–5.22) and coloured population group (AOR: 1.82, 95% CI: 1.34–2.47), were positively associated with healthy ageing, while increasing age (AOR: 0.96, 95% CI: 0.94–0.97), daily tobacco use (AOR: 0.56, 95% CI: 0.42–0.74), perceived underweight (AOR: 0.48, 95% CI: 0.34–0.66) and perceived overweight (AOR: 0.53, 95% CI: 0.34–0.81) were negatively associated with associated with healthy ageing. Conclusion: almost two in five older adults in South Africa were successfully ageing. Factors associated with healthy ageing included, younger age, male sex, population group (Whites, Coloureds), not daily tobacco users, not having underweight and overweight.

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Socioeconomic position and healthy ageing: A systematic review of cross-sectional and longitudinal studies

Cited by 43 publications

References 73 publications

Development and Validation of a Multidimensional Population-Based Healthy Aging Scale: Results From the China Health and Retirement Longitudinal Study

Development and Validation of a Multidimensional Population-Based Healthy Aging Scale: Results From the China Health and Retirement Longitudinal Study

Factors Associated with Happiness in Rural Older Adults: An Exploratory Study

Ethnic and Gender Disparities in Healthy Ageing among People 50 Years and Older in South Africa

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