Active ageing among elderly community members: structural equation modeling analysis

Oliveira, Nayara Gomes Nunes; Tavares, Darlene Mara dos Santos

doi:10.1590/0034-7167-2020-0110

Cited by 5 publications

(9 citation statements)

References 27 publications

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“…Further, ADL was significantly associated with active aging, which supports the findings of previous studies ( 24 , 44 , 45 ). ADL decline has been linked to lower physical activity, lower life satisfaction, and lower social participation, which are essential components of a low-level active aging state.…”

Section: Discussionsupporting

confidence: 91%

The mediation and interaction of depressive symptoms in activities of daily living and active aging in rural elderly: A cross-sectional survey

Fu¹,

Su²,

Zeng³

et al. 2022

Front. Public Health

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BackgroundCompared with urban areas, old adults in rural areas have limited access to medical and health resources in China. Active of daily living ability (ADL) decline and depressive symptoms are common in rural older adults. In particular, the depressive symptoms of the elderly in rural areas are often ignored. Thus, it is difficult to realize high-level active aging at the individual level. In order to explore the effects of ADL and depressive symptoms on the active aging of rural elderly, we conducted a survey and analyzed the mediation and interaction effects of depressive symptoms of ADL on active aging.MethodsFrom July to November 2019, a cross-sectional study of 945 elderly rural individuals was conducted in three townships in Xiangtan County, China. Active aging, ADL, and depressive symptoms were assessed using the positive aging questionnaire (PAEQ), ADL scale, and depression in old age scale (DIA-S), respectively. PROCESS macro program model 4 and logistic regression were used to explore the mediation and interaction between ADL and depressive symptoms on active aging.ResultsThe proportions of rural elderly with an active aging level were 23.5% (well above average), 50.9% (above average), 24.1% (below average), 1.5% (well below average), respectively. The rates of ADL decline and depressive symptoms were 44.7 and 19.7%, respectively. Mediated effect analysis showed that the relationship between ADL and active aging could be partly mediated by depressive symptoms (ab = −0.2382, boot SE = 0.0437), and the 95% confidence interval was [−0.3311, −0.1584]. The mediating effect proportion of the total effect was 30.7%. Logistic regression showed that ADL and depressive symptoms have an interactive additive effect on active aging. The relative excess risk of interaction (RERI), the attributable proportion due to interaction (API), and the synergy index (SI) scores were 13.109, 0.621, and 2.871, respectively. Older adults with ADL decline and depressive symptoms had higher (OR = 21.115) odds of well-below-average active aging compared with older adults with ADL decline (OR = 3.258) or only depressive symptoms (OR = 5.749).ConclusionThe findings suggest that the association between ADL and active aging is persistent and partly mediated by depressive symptoms, and comorbid depressive symptoms and ADL decline have an additive effect on active aging. Maintaining independence is an important factor for realizing active aging. However, for the rural elderly with ADL decline and low-level active aging, we can promote the realization of high-level active aging at the individual level through the prevention and treatment of depressive symptoms based on multidisciplinary care.

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Section: Discussionsupporting

confidence: 91%

The mediation and interaction of depressive symptoms in activities of daily living and active aging in rural elderly: A cross-sectional survey

Fu¹,

Su²,

Zeng³

et al. 2022

Front. Public Health

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“…Furthermore, a structural model of active aging developed in a previous study, based on the theoretical framework of the WHO, 1 was used. 15 The instruments applied at a single moment to measure the determinants of the active aging model were defined considering the most used ones in gerontology and validated in Brazil ( Chart 1 ). 15 - 29 …”

Section: Methodsmentioning

confidence: 99%

“… 15 The instruments applied at a single moment to measure the determinants of the active aging model were defined considering the most used ones in gerontology and validated in Brazil ( Chart 1 ). 15 - 29 …”

Section: Methodsmentioning

confidence: 99%

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Exploring the effect of the structural model of active aging on the self-assessment of quality of life among older people: A cross-sectional and analytical study

Oliveira,

Bolina,

Haas

et al. 2024

Sao Paulo Med. J.

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BACKGROUND: Although studies have examined the relationship between variables associated with active aging and quality of life (QoL), no studies have been identified to have investigated the effect of a structural model of active aging on QoL in a representative sample of older people in the community. OBJECTIVE: To measure the domains and facets of QoL in older people and identify the effect of the structural model of active aging on the self-assessment of QoL. DESIGN AND SETTING: This cross-sectional analytical study included 957 older people living in urban areas. Data were collected from households using validated instruments between March and June 2018. Descriptive, confirmatory factor, and structural equation modeling analyses were performed. RESULTS: Most older people self-rated their QoL as good (58.7%), and the highest mean scores were for the social relationships domain (70.12 ± 15.4) and the death and dying facet (75.43 ± 26.7). In contrast, the lowest mean scores were for the physical domains (64.41 ± 17.1) and social participation (67.20 ± 16.2) facets. It was found that active aging explained 50% of the variation in self-assessed QoL and directly and positively affected this outcome (λ = 0.70; P < 0.001). CONCLUSION: Active aging had a direct and positive effect on the self-assessment of QoL, indicating that the more individuals actively aged, the better the self-assessment of QoL.

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“…In Brazil, nationally representative analyses, based on the National Health Survey (PNS) conducted in 2013, found that active aging, defined in social, physical, intellectual, and work activity dimensions, demonstrated disparities between socioeconomic status, race, sex, and age 9 , 10 . Moreover, a local study conducted in Uberaba city (Minas Gerais State, Brazil) with 957 community-dwelling older adults proposed a structural active aging model and found that the most relevant determinant category was the health/social services determinants, followed by the social determinants 11 .…”

Section: Introductionmentioning

confidence: 99%

Differences in determinants of active aging between older Brazilian and English adults: ELSI-Brazil and ELSA

Silva,

Martins,

Braga

et al. 2023

Cad. Saúde Pública

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This study aimed to investigate differences in determinants of active aging between older Brazilian and English adults and to verify the association of behavioral, personal, and social determinants with physical health. This cross-sectional study was based on the ELSI-Brazil (2015-2016) and ELSA (2016-2017) cohorts. Active aging determinants included behavior (smoking, sedentary lifestyle, and poor sleep quality), personal (cognitive function and life satisfaction), and social determinants (education, loneliness, and volunteering), according to the World Health Organization. Physical health included activities limitation and multimorbidity. We estimated age- and sex-adjusted prevalence for each indicator and mean score, and used the negative binomial regression for statistical analysis. We included 16,642 participants, 9,409 from Brazil and 7,233 from England. Overall, all active aging determinants were worse in Brazil than in England, except for life satisfaction (no difference). The most remarkable difference was found for social determinants score in Brazil (mean difference of 0.18; p < 0.05), mainly due to a significantly lower education level in Brazil (70.6%; 95% confidence interval - 95%CI: 69.7-71.5) than England (37.1%; 95%CI: 35.1-39.1). All determinants (behavioral, personal, and social) were associated with health in Brazil and in England. However, the behavioral domain was stronger associated with health in England (coefficient = 2.76; 95%CI: 2.46-3.10) than in Brazil (coefficient = 1.38; 95%CI: 1.26-1.50; p < 0.001). Older English adults beneficiate more from healthier behaviors than Brazilians, which depend more on social policies.

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Active ageing among elderly community members: structural equation modeling analysis

Cited by 5 publications

References 27 publications

The mediation and interaction of depressive symptoms in activities of daily living and active aging in rural elderly: A cross-sectional survey

The mediation and interaction of depressive symptoms in activities of daily living and active aging in rural elderly: A cross-sectional survey

Exploring the effect of the structural model of active aging on the self-assessment of quality of life among older people: A cross-sectional and analytical study

Differences in determinants of active aging between older Brazilian and English adults: ELSI-Brazil and ELSA

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