Population aging in local areas and subjective well-being of older adults: Findings from two studies in Japan

Saito, Tami; Sugisawa, Hidehiro; Harada, Ken; Kai, Ichiro

doi:10.5582/bst.2015.01174

Cited by 9 publications

(4 citation statements)

References 36 publications

(39 reference statements)

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“…Recently, besides social environment, ecological theories of aging suggest that as people age and their functional capacity declines, the built (or physical) environment in which they live holds an emerging role in their life satisfaction [17, 18]. Urban built environment for senior residents may be a relevant promising strategy for improving old people’s life satisfaction, with subsequent successful aging in this setting [19]. However, neither built environment nor life satisfaction in this population has been largely examined [20], especially in developing countries.…”

Section: Introductionmentioning

confidence: 99%

A multilevel model of life satisfaction among old people: individual characteristics and neighborhood physical disorder

Vaz

Andrade

Proietti³

et al. 2019

BMC Public Health

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Background Considering the lack of studies that examine built environmental factors associated with life satisfaction among old people in developing countries, particularly those focused on Brazil, the aim of this study was to estimate the prevalence of life satisfaction among old adults residents in a Brazilian urban center and to investigate its association with individual characteristics and objective measures of the built environment. Methods A household survey ( N = 832) in Belo Horizonte, Minas Gerais, Brazil (2008–2009) and a Systematic Social Observation (SSO) was used in this study. Life satisfaction was assessed through Self-Anchoring Ladder Scale, developed by Cantril, in 1965. Participants’ answers were categorized as satisfied (rungs 6–10) and dissatisfied (rungs 0–5). A Multilevel Poisson regression analysis with robust variance was performed. Results The prevalence of satisfaction with life was approximately 82%. Higher prevalence of life satisfaction was significantly associated with old people who reported higher incomes, higher religious participation, who practice physical activity and who perceive their health as good and very good. In contextual level, results showed that when the contextual features were adjusted separately by the individual characteristics they were no longer significant. The results also showed a lower prevalence of life satisfaction among those living in neighborhoods with higher physical disorder, even after adjusting for individual and other contextual characteristics. Conclusions The present findings suggest that life satisfaction should be assessed whenever evaluating urban redevelopment programs designed to improve neighborhood characteristics, reducing physical disorder, especially among old adults.

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Section: Introductionmentioning

confidence: 99%

A multilevel model of life satisfaction among old people: individual characteristics and neighborhood physical disorder

Vaz

Andrade

Proietti³

et al. 2019

BMC Public Health

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“…Quality of life (QoL) is understood by the World Health Organization 1 from a multidimensional perspective associated with objective and subjective factors, based on criteria of individual satisfaction and collective well-being, reflecting the perception of individuals with what is described as their level of satisfaction with their basic needs, economic development, social integration, the quality of the environment in which they live, their opportunities in life and access to services, as well as issues referring to happiness, love, satisfaction with life and personal fulfillment [2][3][4] .…”

Section: Introductionmentioning

confidence: 99%

Quality of life based on level of physical activity among elderly residents of urban and rural areas

Ribeiro

Ferretti

Sá

2017

Rev. bras. geriatr. gerontol.

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Objective: To analyze quality of life (QOL) according to level of physical activity among elderly persons living in rural (RA) and urban (UA) areas. Method: A descriptive crosssectional study, analyzing 358 elderly residents of RA and 139 of UA, in the municipal region of Palmas, Paraná, Brazil was performed. Quality of life, level of physical activity and economic condition were evaluated. For the analysis of the continuous variables, the student's t-test or the Mann-Whitney test were used, based on the normality or otherwise of the data. Pearson's chi-squared or Fischer's exact test were used to analyze the categorical variables. Results: The general perception of QOL reported in RA was better than in UA ( p<0.05). The analysis of the level of physical activity according to place of residence showed that the elderly are more physically active in RA ( p<0.05), whereas insufficiently active or sedentary subjects prevail in UA. The variables age and gender were not associated with QOL ( p>0.05), irrespective of place of residence, and active elderly persons had better QOL scores than insufficiently active or sedentary individuals, again irrespective of place of residence ( p<0.05). Conclusion: The present study provides evidence that QOL is positively influenced by both maintaining satisfactory levels of physical activity and by residing in RA. It is important to establish public policies aimed at ensuring a more active and independent old age, thus generating greater health and quality of life.

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“…However, although elderly people in rural areas tend to be considered more vulnerable and at greater risk of emergency care, 24 associated to the reported low quality of life, especially if they live alone, 25 sometimes have a better quality of life compared to the elderly living in large centers. 33 Regarding cognitive impairment, the results showed relatively low mean MMSE scores (Table 3), but considering the level of schooling, 17.1%, i.e., 13 elderly individuals were considered as possible cognitive impairment by the screening test. In the study by Feliciano et al 17 in the elderly in a neighborhood with low socioeconomic conditions, the cognitive conditions were more alarming, showing 56.2% of these with scores representative of cognitive impairment by the MMSE and in a study with rural elderly individuals conducted by Iatraki et al 12 25.4% presented cognitive impairment.…”

Section: Discussionmentioning

confidence: 96%

Cognitive, functional, social and health assessment in elderly of rural areas

Aab¹,

Lap²,

Wa³

2019

MOJGG

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The aim of this study was to determine the cognition, degree of functional independence, physical health (diagnosed diseases, medications) and social functions and relationships of elderly people living in a rural area of Araraquara (Sao Paulo, Brazil). Seventy-six elderly individuals were interviewed and completed a structured questionnaire based on BOMFAQ and adapted from the OARS questionnaire. Mini Mental State Exam (MMSE) was used to assess the cognitive status, and the functional condition by combining the scales of basic and instrumental activities of daily living. Considering the educational level, 17.1% of the elderly presented cognitive impairment and did not consider schooling 92.1%; 76.3% had dependence on at least one activity of daily life, 88.2% reported having a diagnosed disease, and the most frequent condition was hypertension (37.5%). It was concluded that the elderly who live in the settlement evaluated need a broader approach to social and health conditions that may contribute substantially to family education and training in elder care, periodic medical follow-up, and provision of specific care.

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Population aging in local areas and subjective well-being of older adults: Findings from two studies in Japan

Cited by 9 publications

References 36 publications

A multilevel model of life satisfaction among old people: individual characteristics and neighborhood physical disorder

A multilevel model of life satisfaction among old people: individual characteristics and neighborhood physical disorder

Quality of life based on level of physical activity among elderly residents of urban and rural areas

Cognitive, functional, social and health assessment in elderly of rural areas

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