Dataset Information

Influence of healthy lifestyle behaviors on life satisfaction in the aging population of Thailand: a national population-based survey.

ABSTRACT:

Background

Understanding the influence of healthy lifestyle behaviors on population-level life satisfaction is few known in the aging population, especially in low- and middle-income countries in Asia. The objective of our study was to analyse the association of lifestyle behaviors with life satisfaction in a nationally-representative sample of older persons in Thailand.

Methods

The sample was obtained from a baseline phase of a nationally-representative, longitudinal survey of the Thai population. The study employed a multistage sampling technique to recruit study participants age 60?years or older from the five geographic regions of Thailand. In this study, 1460 adults age 60?years or older from 3670 households successfully completed face-to-face interviews by trained staff with a structured questionnaire. Information on self-reported life satisfaction, lifestyle behaviors, and sociodemographic characteristics were collected via survey questionnaire. Life satisfaction was assessed using the Scale with Life Satisfaction (SWLS) [1 to 7] response. Binary logistic regression analysis was used in investigating the association between lifestyle behaviors and life satisfaction.

Results

The median age of the participants was 68.1 (60-93?years). The overall mean life satisfaction score was 24.2?±?5.6. Regular physical activity (at least 30?min per day) and sufficient fruit and vegetable (FV) intake (at least 400?g per day) were significantly associated with older people's life satisfaction (p???0.001 and p???0.10, respectively) after controlling all sociodemographic variables. Participants who had regular physical activity were 1.7 times as likely to be satisfied as those with less physical activity (95% CI 1.284-2.151). Participants with sufficient daily FV intake were 1.3 times as likely to be satisfied with life as those with insufficient daily FV (95% CI 0.994-1.723). Life satisfaction score also differed significantly by sociodemographic characteristics (sex, age, marital status, educational attainment) and presence of chronic disease.

Conclusions

To improve the life satisfaction of older persons, taking into account sociodemographic characteristics of the population and absence of chronic disease, the need for promotion of healthy lifestyle behaviors, especially regular physical activity and sufficient FV intake, must be recommended.

SUBMITTER: Phulkerd S

PROVIDER: S-EPMC7789197 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Influence of healthy lifestyle behaviors on life satisfaction in the aging population of Thailand: a national population-based survey.

Phulkerd Sirinya S Thapsuwan Sasinee S Chamratrithirong Aphichat A Gray Rossarin Soottipong RS

BMC public health 20210106 1

<h4>Background</h4>Understanding the influence of healthy lifestyle behaviors on population-level life satisfaction is few known in the aging population, especially in low- and middle-income countries in Asia. The objective of our study was to analyse the association of lifestyle behaviors with life satisfaction in a nationally-representative sample of older persons in Thailand.<h4>Methods</h4>The sample was obtained from a baseline phase of a nationally-representative, longitudinal survey of th ...[more]

PMID: 33407252

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Project description:BackgroundSocial isolation measures are requisites to control viral spread during the COVID-19 pandemic. However, if these measures are implemented for a long period of time, they can result in adverse modification of people's health perceptions and lifestyle behaviors.ObjectiveThe aim of this cross-national survey was to address the lack of adequate real-time data on the public response to changes in lifestyle behavior during the crisis of the COVID-19 pandemic.MethodsA cross-national web-based survey was administered using Google Forms during the month of April 2020. The settings were China, Japan, Italy, and India. There were two primary outcomes: (1) response to the health scale, defined as perceived health status, a combined score of health-related survey items; and (2) adoption of healthy lifestyle choices, defined as the engagement of the respondent in any two of three healthy lifestyle choices (healthy eating habits, engagement in physical activity or exercise, and reduced substance use). Statistical associations were assessed with linear and logistic regression analyses.ResultsWe received 3371 responses; 1342 were from India (39.8%), 983 from China (29.2%), 669 from Italy (19.8%), and 377 (11.2%) from Japan. A differential countrywise response was observed toward perceived health status; the highest scores were obtained for Indian respondents (9.43, SD 2.43), and the lowest were obtained for Japanese respondents (6.81, SD 3.44). Similarly, countrywise differences in the magnitude of the influence of perceptions on health status were observed; perception of interpersonal relationships was most pronounced in the comparatively old Italian and Japanese respondents (β=.68 and .60, respectively), and the fear response was most pronounced in Chinese respondents (β=.71). Overall, 78.4% of the respondents adopted at least two healthy lifestyle choices amid the COVID-19 pandemic. Unlike health status, the influence of perception of interpersonal relationships on the adoption of lifestyle choices was not unanimous, and it was absent in the Italian respondents (odds ratio 1.93, 95% CI 0.65-5.79). The influence of perceived health status was a significant predictor of lifestyle change across all the countries, most prominently by approximately 6-fold in China and Italy.ConclusionsThe overall consistent positive influence of increased interpersonal relationships on health perceptions and adopted lifestyle behaviors during the pandemic is the key real-time finding of the survey. Favorable behavioral changes should be bolstered through regular virtual interpersonal interactions, particularly in countries with an overall middle-aged or older population. Further, controlling the fear response of the public through counseling could also help improve health perceptions and lifestyle behavior. However, the observed human behavior needs to be viewed within the purview of cultural disparities, self-perceptions, demographic variances, and the influence of countrywise phase variations of the pandemic. The observations derived from a short lockdown period are preliminary, and real insight could only be obtained from a longer follow-up.

Project description:BackgroundUnderstanding health and developing trends among the older population is essential for countries to tackle the challenges of an ageing population and formulate relevant policies. Facilitating healthy ageing is an essential strategy to address the issues arising among the aged. The concept of healthy ageing is defined as "the process of developing and maintaining the functional ability that enables wellbeing in old age (WHO)," where "functional ability comprises the health-related attributes that enable people to be and to do what they have reason to value." People have different ageing pathways depending on their genetic profile and different life course health risk exposures. Therefore, ageing, more specifically healthy ageing, largely depends on individual lifestyle choices. This study examines the association between lifestyle behaviours and healthy ageing among older adults in India.MethodsBased on the first round of LASI in 2017-18, we conceptualized healthy ageing within the WHO functional ability framework. We developed a Healthy Ageing Index (HAI), which incorporates physiological health, functional health, cognitive functions, psychological well-being, and social engagement. We used principal component analysis to generate a composite score for HAI. We then used multiple linear regression to demonstrate the association between lifestyle behaviours and HAI.ResultThe mean HAI was 82.8%, indicating that the study population is healthier. The study findings show that smoking and drinking are more prevalent among males, rural residents, illiterate individuals, those currently employed, and those belonging to the poorest wealth quintile. Engaging in physical activity is associated with better health outcomes (β = 2.36; 95% CI: 2.16-2.56).ConclusionThis study emphasizes the importance of adopting a healthier lifestyle to achieve healthy ageing. Health behaviours are modifiable, so our results highlight the need for policy interventions to promote a healthier lifestyle from an early age.

Project description:Importance: Few studies have addressed the combined effects of health-promoting and self-care behaviors among older adults. Thus, new research is needed to assess the potential for behavior change to prolong independence in later life. Objectives: To determine the relationships between self-care behaviors and risks of mobility and activities of daily living (ADLs) over time. Design: Longitudinal data was used from the National Health and Aging Trends Study (NHATS) cohort. Eight baseline self-care behaviors were summarized using latent class analysis. Separately, longitudinal latent classes of mobility and ADLs were created. Setting: Annual in-person interviews conducted for a nationally representative sample. Participants: The baseline study sample included 7,609 Medicare beneficiaries aged ≥65 from NHATS who were living in community or residential care settings, with a 71% response rate. The average age was 75, with 57% female, 81% white and 78% high school graduates or higher. Approximately, 80% (n = 6,064) completed 5 years of follow-up. Exposures: Favorable vs. unfavorable self-care latent classes measured at baseline. Main outcomes and Measures: Associations were measured between baseline classes and longitudinal classes of mobility and ADLs difficulty. Among decedents, 5-year associations were measured between baseline classes and years of overall, healthy, able, and healthy/able life. Results: Two habitual baseline self-care behavioral patterns (46% favorable; 54% unfavorable) and three trajectories of change in mobility and ADLs disability (maintaining independence; shifting to accommodation/difficulty; shifting to assistance) emerged over time. Participants with a favorable baseline pattern had 92% (0.90–0.94) reduced risk in shifting to assistance class and 70% (0.64–0.76) reduced risk for shifting to accommodation/difficulty class for mobility disability. Participants with a favorable baseline pattern had 86% (0.83–0.89) reduced risk in shifting to assistance class and 24% (0.11–0.36) reduced risk in shifting to accommodation/difficulty class for ADLs disability. Those with an unfavorable pattern had 2.54 times greater risk of mortality by the end of the 5-year follow-up compared to those with a favorable pattern. Conclusion: Self-care behaviors in older age represent a habitual pattern. A favorable self-care behavioral pattern decreased the risk of moving towards a more disabled profile and added years of life. Interventions should encourage self-care behaviors constituting a favorable pattern.

Project description:BackgroundFrailty is a clinical state defined as an increase in an individual's vulnerability to developing adverse health-related outcomes.ObjectivesWe propose that healthy behaviors could lower the incidence of frailty. The aim is to describe the association between healthy behaviors (physical activity, vaccination, tobacco use, and cancer screening) and the incidence of frailty.DesignThis is a secondary longitudinal analysis of the Mexican Health and Aging Study (MHAS) cohort.SettingMHAS is a population-based cohort, of community-dwelling Mexican older adults. With five assessments currently available, for purposes of this work, 2012 and 2015 waves were used.ParticipantsA total of 6,087 individuals 50-year or older were included.MeasurementsFrailty was defined using a 39-item frailty index. Healthy behaviors were assessed with questions available in MHAS. Individuals without frailty in 2012 were followed-up three years in order to determine their frailty incidence, and its association with healthy behaviors. Multivariate logistic regression models were used to assess the odds of frailty occurring according to the four health-related behaviors mentioned above.ResultsAt baseline (2012), 55.2% of the subjects were male, the mean age was 62.2 (SD ± 8.5) years old. The overall incidence (2015) of frailty was 37.8%. Older adults physically active had a lower incidence of frailty (48.9% vs. 42.2%, p< 0.0001). Of the activities assessed in the adjusted multivariate models, physical activity was the only variable that was independently associated with a lower risk of frailty (odds ratio: 0.79, 95% confidence interval 0.71-0.88, p< 0.001).ConclusionsPhysically active older adults had a lower 3-year incidence of frailty even after adjusting for confounding variables. Increasing physical activity could therefore represent a strategy for reducing the incidence of frailty. Other so-called healthy behaviors were not associated with incident frailty, however there is still uncertainty on the interpretation of those results.

Dataset Information

Influence of healthy lifestyle behaviors on life satisfaction in the aging population of Thailand: a national population-based survey.

Background

Methods

Results

Conclusions

Publications

Influence of healthy lifestyle behaviors on life satisfaction in the aging population of Thailand: a national population-based survey.

Similar Datasets

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