Dataset Information

Selfie Aging Index: An Index for the Self-assessment of Healthy and Active Aging.

ABSTRACT:

Introduction

Governments across Europe want to promote healthy and active aging, as a matter of both public health and economic sustainability. Designing policies focused on the most vulnerable groups requires information at the individual level. However, a measure of healthy and active aging at the individual level does not yet exist.

Objectives

This paper develops the Selfie Aging Index (SAI), an individual-level index of healthy and active aging. The SAI is developed thinking about a tool that would allow each person to take a selfie of her aging status. Therefore, it is based entirely on self-assessed indicators. This paper also illustrates how the SAI may look like in practice.

Methods

The SAI is based on the Biopsychosocial Assessment Model (MAB), a tool for the multidimensional assessment of older adults along three domains: biological, psychological, and social. Indicators are selected and their weights determined based on an ordered probit model that relates the MAB indicators to self-assessed health, which proxies healthy and active aging. The ordered probit model predicts the SAI based on the estimated parameters. Finally, predictions are rescaled to the 0-1 interval. Data for the SAI development come from the Study of the Aging Profiles of the Portuguese Population and the Survey of Health, Aging, and Retirement in Europe.

Results

The selected indicators are BMI, having difficulties moving around indoors and performing the activities of daily living, feeling depressed, feeling nervous, lacking energy, time awareness score, marital status, having someone to confide in, education, type of job, exercise, and smoking status. The model also determines their weights.

Conclusion

Results shed light on various factors that contribute significantly to healthy and active aging. Two examples are mental health and exercise, which deserve more attention from individuals themselves, health-care professionals, and public health policy. The SAI has the potential to put the individual at the center of the healthy and active aging discussion, contribute to patient empowerment, and promote patient-centered care. It can become a useful instrument to monitor healthy and active aging for different actors, including individuals themselves, health-care professionals, and policy makers.

SUBMITTER: Goncalves J

PROVIDER: S-EPMC5744477 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Publications

Selfie Aging Index: An Index for the Self-assessment of Healthy and Active Aging.

Gonçalves Judite J Gomes Maria Isabel MI Fonseca Miguel M Teodoro Tomás T Barros Pedro Pita PP Botelho Maria-Amália MA

Frontiers in medicine 20171222

<h4>Introduction</h4>Governments across Europe want to promote healthy and active aging, as a matter of both public health and economic sustainability. Designing policies focused on the most vulnerable groups requires information at the individual level. However, a measure of healthy and active aging at the individual level does not yet exist.<h4>Objectives</h4>This paper develops the <i>Selfie Aging Index</i> (SAI), an individual-level index of healthy and active aging. The SAI is developed thi ...[more]

PMID: 29312944

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Project description:IntroductionThe aging population presents both unique challenges and opportunities for societies around the world. To develop an effective healthy aging strategy, a tool for assessing aging process is needed. Numerous attempts to quantify the aging process have been made. However, there is still a challenge in developing and choosing a good enough score that is easy to apply, has a construct of variables that are available in most nationwide surveys for comparable results, and at the same time reflects the aging process of older individuals. The purpose of this study is to present our approach to construct a comparable Healthy Aging Index (HAI).Materials and methodsIn Latvia, data from Wave 8 of the Survey of Health, Aging and Retirement in Europe (SHARE), involving 420 respondents, were used. For comparative analysis, data from a HL20 study on the health and wellbeing of the older adults in Iceland, which included 1,033 respondents, were used.ResultsFor Latvia, 13 items were selected, and for Iceland, nine items were selected. We constructed the HAI with four similar subscales for both countries-"Autonomy," "Health," "Wellbeing," and "Activities," and an additional subscale "Cognitive" for Latvia. We found matching items in all four subscales. For the Autonomy subscale, they were related to difficulties with everyday and daily tasks. In the Health subscale, the only matching item was self-rated physical health. One item related to loneliness was found for the Wellbeing subscale and one item related to social participation for the Activities subscale.DiscussionIn our study, we found evidence for the successful construction of a HAI in two different datasets. The strength of our construct lies in the use of data from one of the largest social science panel studies in Europe (SHARE). As we were able to apply the construct to the Icelandic study, we believe that items presented in our approach are available in other population-based studies as well, and, therefore, can be easily replicated by others. By examining the existing SHARE data, HAI could be used to analyze long-term changes and could provide a foundation for comparing and monitoring the evolution of aging over time as well as comparing the aging process across societies. This is required for the authorities to conduct further analyses, proposals, and action plans in support of healthy aging.

Project description:BackgroundBangladesh is one of the fastest-growing older populations in the world. However, there has been little initiative in constructing an Active Aging Index (AAI) to monitor the quality of life of senior citizen.ObjectivesThe objective of the study was to construct an AAI to know the active aging scenario of the population in Bangladesh.MethodsA cross-sectional study was conducted among 518 respondents aged 60 years or older from six villages and six wards. Three villages and three wards from Rangpur district and three villages and three wards from Dhaka district were selected for the collection of data. A semi-structured questionnaire was used to collect data on the eight indicators of the 'health dimension', three indicators of the 'participation dimension', and seven indicators of the 'security dimension' for the AAI using the World Health Organization (WHO) model. The responses for each of the indicators (ranges from 0, 1, 2, or 3) in each dimension were added to create a composite index (CI) for each of the dimensions. Descriptive statistical methods with significance tests were applied to analyze the data.ResultsThe findings provide opportunities to view the 18 aspects of the quality of life of the older population by sex and place of residence. Among the respondents, the overall AAI score shows that 48.1% of the health, 28.9% of the participation, and 48.5% of the security dimensions score fall in the lower active category. Gender differences were distinct in all three dimensions, where the moderate AAI score for females from both rural (41.5%) and urban areas (62.7%) was lower than for males in rural (73.5 %) and urban areas (76.3%). Conversely, the AAI value for urban older adults was higher in all dimensions in comparison with rural older adults. Overall, 62.7% of the respondents were moderately active (a range within 0.50-0.79), while 34.4% were poorly active (a range within 0.0-0.49) and only 3.9% were highly active (a range within 0.80+).ConclusionEffective initiatives are needed to improve the individual scores of each of the three dimensions of the AAI. Attention should be given to addressing the gender and residential variations in all three dimensions of the AAI. The incorporation of indicator-specific measures is essential to the existing plan of action and programs to improve the situation of the older population that is poorly and moderately active. This result will help policymakers from concerned ministries to focus on specific dimensions to improve the AAI situation in the country. A nationally representative study is needed regularly to monitor the AAI situation.

Project description:ImportanceIdentifying novel factors that protect against age-related diseases and promote healthy aging is critical to public health. Higher levels of circulating very-long-chain saturated fatty acids (VLSFAs) are integrated biomarkers of diet and metabolism shown to have beneficial associations in cardiovascular disease and total mortality, but whether they are associated with overall healthy aging is unknown.ObjectiveTo examine the association of circulating levels of 3 VLSFAs with unhealthy aging events, including incident chronic disease (cardiovascular disease, cancer, lung disease or severe kidney disease), physical dysfunction, and cognitive decline.Design, setting, and participantsThis cohort study used 1992 to 2014 data from the Cardiovascular Health Study (CHS). The CHS is a multicenter, population-based study of cardiovascular disease among older adults. Among the 4559 CHS participants with available fatty acid data, 1879 participants who had an age-related event before their first measurement were excluded. Data analysis was performed in 2020.Main outcomes and measuresPlasma phospholipid VLSFA levels were measured by thin-layer chromatography followed by gas chromatography. The main outcome was the hazard ratio (HR) of an incident unhealthy aging event associated with serial measures of plasma arachidic acid, behenic acid, and lignoceric acid.ResultsAmong the 2680 study participants (976 men [36.4%]), the mean (SD) age was 74.7 (4.8) years old at entry. During a median (interquartile range) of 6.4 (2.9-12.9) years of follow-up, 2484 participants experienced an unhealthy event. Compared with the lowest quintile, levels of behenic acid in the highest quintile of the fatty acid distribution were associated with 15% lower risk of an unhealthy event (HR, 0.85; 95% CI, 0.74-0.97; P for trend = .01) after adjustment for demographic characteristics, lifestyle factors, and clinical conditions. In analogous comparisons, levels of lignoceric acid were similarly associated with 16% lower risk of an unhealthy event (HR, 0.84; 95% CI, 0.73-0.95; P for trend = .001).Conclusions and relevanceThese findings suggest that higher levels of circulating behenic acid and lignoceric acid are associated with lower risk of unhealthy aging events. These results highlight the need to explore determinants of circulating VLSFAs for potential novel efforts to promote healthy aging.

Dataset Information

Selfie Aging Index: An Index for the Self-assessment of Healthy and Active Aging.

Introduction

Objectives

Methods

Results

Conclusion

Publications

Selfie Aging Index: An Index for the Self-assessment of Healthy and Active Aging.

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