Mobility, Activities, and happiness in old Age: Case of the elderly in Bangkok

Thaithatkul, Phathinan; Chalermpong, Saksith; Laosinwattana, Wattana; Kato, Hironori

doi:10.1016/j.cstp.2022.05.010

Cited by 16 publications

(5 citation statements)

References 36 publications

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“…The use of smart devices also affects the happiness of the elderly. The elderly who use and are accustomed to smartphone use have higher levels of happiness compared to those who do not [28,90], and social media use and satisfaction improve happiness levels in the elderly [27,75,91,92]. Some studies have shown that the use of smart devices is not necessarily positive for the lives of the elderly [93][94][95][96][97].…”

Section: Leisure Factors Affecting the Happiness Of The Elderlymentioning

confidence: 99%

“…In addition, happiness levels vary depending on what kind of leisure activities are performed and with whom [19][20][21]. In addition, the frequency of leisure activities [22][23][24], leisure spaces and facilities [25,26], smartphones and internet use [27,28], and so-called leisure resources such as leisure time and expenses also affect happiness [29,30].…”

Section: Introductionmentioning

confidence: 99%

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Leisure and Happiness of the Elderly: A Machine Learning Approach

Kim,

Kang,

Park

2024

Sustainability

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Leisure activities play an important role in improving happiness levels for the elderly. The purpose of this study is to explore leisure-related factors that affect the happiness of the elderly using machine learning algorithms. For this research, the 2019 National Leisure Activity Survey released by the Ministry of Culture, Sports and Tourism, Republic of Korea, was used to analyze the data of 1769 elders over the age of 65 among 10,060 men and women aged 15 years and older in 17 cities and provinces nationwide, and it went through the process of data preprocessing, data segmentation, prediction model construction and evaluation, and model tuning. According to the findings of the study, the main factors predicting the happiness index of the elderly were leisure life satisfaction, leisure time, whether to use public leisure facilities, leisure policy satisfaction, and leisure activity companionship. The overall findings of this study imply that exploring sustainable policy towards the achievement of sustainable happiness for the elderly is important. Based on these results, policy measures to improve the happiness level of the elderly were discussed.

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Section: Leisure Factors Affecting the Happiness Of The Elderlymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Leisure and Happiness of the Elderly: A Machine Learning Approach

Kim,

Kang,

Park

2024

Sustainability

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“…Potential elderly are elderly residents who are included in the labor force. Elderly is mostly found in developing countries and countries that do not have social benefits for old age Huda (2020); Thaithatkul et al, (2022). Based on the results of the analysis, it is known that the variables of age, marriage status, health, household income, number of dependents and parental benefits simultaneously affect the work participation of elderly residents (Rahman & Permadi, 2020).…”

Section: Literature Review Elderly Populationmentioning

confidence: 99%

Socioeconomic Factors Affecting the Work Participation

Niswah,

Saleh,

Indriyani

et al. 2024

JABE

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This study aims to analyze the influence of socio-economic factor variables on the work participation of the elderly population. The data used in this research is secondary data sourced from the Central Statistics Agency obtained from the National Labor Force Survey (SAKERNAS). This research uses Logistic Regression Analysis (Binary Logistics). The results of the study show that socio-economic factors (age, number of household members, education level, gender and income of household members) have a significant influence on the participation of the elderly population, meaning that every increase of 1 unit of social-economic factors can increase the participation of the elderly population.

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“…Population aging means not only that the number of seniors is constantly increasing but also that current seniors are living longer and are more active than previous generations and may still be working or relaxing through travel after retirement, which involves crossing a wider geographical space and making more frequent long-distance trips than their predecessors ( 1 ). Existing research on the mobility and health of older people mainly focuses on their walking ability or their mobility using transportation tools within the city ( 2 , 3 ). However, there is a need to bolster discussions regarding the cross-border mobility (CBM) of the older adults and its associated health ramifications, particularly during and after COVID-19 periods.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 impacts on cross-border mobility of senior population between Shenzhen and Hong Kong

He,

Niu,

Wei

et al. 2023

Front. Public Health

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The onset of the COVID-19 outbreak led to widespread adoption of mobility intervention policies, which were widely regarded as effective measures to control the spread of the virus. The initial pandemic wave, accompanied by the enforcement of mobility intervention policies, greatly changed human mobility patterns, especially cross-border mobility (CBM). This study investigates the impact of the first wave of the pandemic and related mobility intervention policies on the CBM of the senior population between Shenzhen and Hong Kong. Based on anonymous mobile phone trajectory data from 17 million devices active in Shenzhen spanning December 2019 to May 2020, we consider the implementation of mobility intervention policies during different stages of pandemic in both cities. We adopt interrupted time series (ITS) analysis to explore the causal effects of different mobility intervention policies on the CBM of older people between Hong Kong and Shenzhen. We find that most mobility intervention policies have a significant abrupt or gradual effect on the CBM of older people, especially in the 60–64 age group. As these policies neglect the mobility needs and characteristics among the senior groups, such as visiting relatives or friends and seeking medical treatment across borders, we suggest that more coordinated and integrated policies and measures are required to address the CBM needs of older people in Shenzhen and Hong Kong, especially in the post-pandemic era.

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Mobility, Activities, and happiness in old Age: Case of the elderly in Bangkok

Cited by 16 publications

References 36 publications

Leisure and Happiness of the Elderly: A Machine Learning Approach

Leisure and Happiness of the Elderly: A Machine Learning Approach

Socioeconomic Factors Affecting the Work Participation

COVID-19 impacts on cross-border mobility of senior population between Shenzhen and Hong Kong

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