Predictors of quality of life of the rural older adults in Northern Thailand

Seangpraw, Katekaew; Ratanasiripong, Nop; Ratanasiripong, Paul

doi:10.1108/jhr-11-2018-0142

Cited by 14 publications

(20 citation statements)

References 12 publications

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“…Self-care decreases when people enter the aging process and heavily rely upon others for daily activities, thus decreasing the QOL. This study suggests that the younger have 11.07 times higher QOL than older age groups, which is similar to the results from previous studies reporting that older adults had low QOL [10,32].…”

Section: Discussionsupporting

confidence: 91%

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Quality of life and associated factors amongst older adults in a remote community, Nepal

Samadarshi

Taechaboonsermsak

Tipayamongkholgul

et al. 2021

JHR

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PurposeThe purpose of the study is to assess the quality of life (QOL) of older adults and explore factors associated with it.Design/methodology/approachA cross-sectional study was conducted in a remote community in Nepal. A total of 671 older adults aged 60 years were enrolled in the study. QOL was measured by WHOQOL-OLD questionnaire. Data were analyzed using multiple logistic regression.FindingsMost participants were female (53.0%), illiterate (70.6%), married (64.2%) and living with family (59.3%). Among participants, 82.4% had fair QOL, and the autonomy domain received the lowest score (average = 10.98). After adjusting the model, the elderly aged <70 years had 11.07 times better QOL (aOR = 11.070; 95% CI = 2.546–48.123), elderly with high sufficient income had 2.73 times better QOL (aOR = 2.738; 95% CI = 1.183–6.337) and elderly free from depression had 9.45 times better QOL (aOR = 9.452; 95% CI = 3.466–25.773) compared to their counterparts. The elderly receiving social support had 9.97 times better QOL than those who did not (aOR = 9.976; 95% CI = 3.152–31.574), and those able to afford healthcare services had 4.69 times better QOL than those who could not afford it (aOR = 4.694; 95% CI = 1.046–21.063).Originality/valueThe five predictors – age, income sufficiency, depression, social support and healthcare service affordability – were found to significantly affect QOL. This study suggests special care strategies for vulnerable older adults addressing the issues that affect geriatric depression. This article provides relevant information to the government to consider increment of income, encourage family and community for social support and make health services affordable for older adults.

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Section: Discussionsupporting

confidence: 91%

“…Health professionals from 22 countries applied and validated the tool among the elderly [4]. Currently, this tool is used to measure QOL in numerous studies globally [5][6][7][8][9][10][11][12]. Previous studies noted that the survival rates of older people have increased; however, the quality of life (QOL) is substantially low.…”

Section: Introductionmentioning

confidence: 99%

Quality of life and associated factors amongst older adults in a remote community, Nepal

Samadarshi

Taechaboonsermsak

Tipayamongkholgul

et al. 2021

JHR

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“…Divorced people can also experience higher pressure and stress than married or single people, as Conversano et al reported that living with a spouse resulted in lower distress during the COVID-19 pandemic [ 42 ]. However, the impact of marital status on the QoL in different societies is partly influenced by their cultural and social conditions, as Seangpraw et al [ 43 ] could not find this result among the rural older adults in Northern Thailand.…”

Section: Discussionmentioning

confidence: 99%

Predictive factors of Quality of Life in older adults during the COVID-19 pandemic

et al. 2022

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Background Given the vulnerability of older people to COVID-19, it is important to consider their physical and mental wellbeing and quality of life (QoL) in the COVID-19 pandemic. Therefore, the present study was aimed to identify the QoL and its predictive factors among a sample of Iranian older adults during the COVID-19 pandemic. Methods This descriptive and cross-sectional study was conducted on 500 older people residing in Qazvin, Iran, from May 22th to November 21rd, 2021. Multistage cluster sampling method was used for selecting the eligible older adults. Data were collected using the demographic checklist, fear of COVID-19 scale, and Elderly Quality of Life Questionnaire (LIPAD). The multivariate regression model was used for determining the predictive factors of QoL in older people. Results The mean age of older participants was 69.17 ± 6.75 years old. The results of multivariate regression model showed that fear of COVID-19, age, marital status, level of education, living arrangement, and economic situation were the significant predictors of QoL in the older adults during the COVID-19 pandemic. Conclusions It is recommended to pay close attention to divorced, lonely, and illiterate older people and those with low economic situation during the COVID-19 pandemic.

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“…Creating suitable jobs for older adults who can still work may be needed along with connecting the elderly who can no longer work to family or community resources. In term of educational level, older employees with a higher level of education had more advantages [35]. They may have superior living conditions, fewer chance of being exposed to risk factors of diseases, less labor-intensive work, a network of friends and a higher sense of self potency.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Creative workshops or short-term training (i.e. painting, basketry, massage and herbal gardening) may also contribute additional income for older elders [35].…”

Section: Literature Reviewmentioning

confidence: 99%

Factors Influencing Bridge Employment Engagement: With Reference on Health Sector in Sri Lanka

Senasinghe

Sachitra

2020

SAJSSE

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Purpose: Ageing population will eventually have a dramatic effect on the country’s economy, as it influences on the size of the labor force available. Indorsing longer working lives by encouraging retirees back to the work force has been encouraged by many as a viable option to combat this issue and one way to do this is through bridge employment. Bridge employment is paid work undertaken after retirement from the main vocation but before leaving the labor force completely. The aim of this study is to identify factors influencing bridge employment in health sector in Sri Lanka. Design: Comparing developed and developing context literatures, the study focused on how job-related factors (financial motives and organizational environment) and the societal-level factors (personal fulfillment and social relationship) affect to the bridge employment. Quantitative approach was used. Primary data were collected through a questionnaire survey. To fulfill the study aim, 296 employees representing doctors and nurses, were taken as the sample of this study. Findings: The binary logistic regression analysis results indicated that 21.9 per cent variation of the bridge employment can be explained by organizational environment, financial motives, social relationship and personal fulfillment. Among the factors, personal fulfillment, social relationship and organizational environment were significant determinants of bridge employment in health sector in Sri Lanka. Financial motive was not a significant predictor on bridge employment engagement. Research Implications: The study findings can aid to healthcare centers and pharmaceutical industry as great opportunity in gaining expertise knowledge of bridge employees by understanding influences of personal fulfillment, social relationship and organizational environment factors on their expectations. Further, the findings will be useful to local and global human resources specialists to access and evaluate the research findings to develop new HRM practices based on bride employment. Limitations: The responsiveness of older employees to providing data, is below than the expected responsiveness.

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Predictors of quality of life of the rural older adults in Northern Thailand

Cited by 14 publications

References 12 publications

Quality of life and associated factors amongst older adults in a remote community, Nepal

Quality of life and associated factors amongst older adults in a remote community, Nepal

Predictive factors of Quality of Life in older adults during the COVID-19 pandemic

Factors Influencing Bridge Employment Engagement: With Reference on Health Sector in Sri Lanka

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