A comparison of health-related quality of life and personal, social, and environmental factors of older adults according to a residential area: a propensity score matching analysis

Yun, Jung‐Mi; Lee, Yeongsuk; Lee, Hyunju

doi:10.1007/s11136-022-03131-0

Cited by 6 publications

(8 citation statements)

References 38 publications

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“…These findings are consistent with previous research findings that QOL in middle-aged men increases when they are physically active (15,16), do not smoke (16), and have good subjective health (5). Similar results were found in a study reporting that among adults over 30 years of age, the low-stress group scored higher on QOL than the high-stress group (22). Another study reported that in the population aged 15 or over, those with better sleep status had a high QOL (26).…”

Section: Discussionsupporting

confidence: 92%

“…Participants who were married or single and those who were economically active scored higher on QOL than those who were widowed/divorced/separated and unemployed. These results support a previous study on QOL in adults in their 30s and older (22), indicating that individuals living with a spouse and having economic activity had a higher QOL. Quality of life can be improved through expanded social relationships established through education and consequent leisure activities and job opportunities, which are directly associated with a higher QOL (10,25).…”

Section: Discussionsupporting

confidence: 91%

“…These results align with the findings of previous studies that middle-aged adults with a negative perception of their QOL tended to have suicidal ideation (27), sleep disturbances resulted in lower QOL (28), and a lower monthly income was associated with a lower QOL in middle-aged men (16). In addition, a higher QOL was found to be associated with being economically active (22) and having good subjective health (16,23), whereas stress was identified as a factor affecting QOL (15,24), which is also consistent with the present study. Middle-aged men may experience negative emotions, such as stress or depression, due to reduced income from reduced opportu-nities for economic activity due to early retirement or dismissal due to an economic recession (5).…”

Section: Discussionsupporting

confidence: 91%

“…In addition, over half of the participants belonged to the hazardous drinking group. Their QOL score was higher than the results of a study targeting adults over 30 years old and lower than those of adult male workers over 20 years old (22,23). The regression analysis revealed that alcohol consumption did not affect QOL.…”

Section: Discussionmentioning

confidence: 58%

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Alcohol Consumption and Quality of Life in Middle-aged Men

Lee

2023

Int J High Risk Behav Addict

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Background: Midlife is a transitional period in the lives of men, with middle-aged men experiencing various changes that may lead to an impairment of their quality of life (QOL). Middle-aged men tend to rely on alcohol to overcome stress due to various changes they undergo. Objectives: This study aimed to determine the association between alcohol consumption and QOL in middle-aged men and identify the factors affecting their QOL. Materials and Methods: This paper presents a secondary data analysis of raw data from the 2019 Korea National Health and Nutrition Examination Survey conducted by the Korea Disease Control and Prevention Agency. This study was conducted on men aged 40 - 64 consuming alcohol over the past 12 months. A total of 992 participants was selected for analysis. The research objects were alcohol consumption and QOL, measured using the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) and European QOL-5 Dimensions, respectively. Data analysis was performed by SPSS/WIN v25.0 using descriptive statistics, t-test, one-way ANOVA, and hierarchical multiple regression analysis. The significance level was set at 0.05. Results: Among the general characteristics, significant differences in QOL were observed by age, education, marital status, economic activity, and income. Among the lifestyle and mental health variables, significant differences in QOL were observed by sleep status, exercise, smoking, subjective health, happiness, stress, and suicidal ideation. The factors affecting QOL were suicidal ideation, sleep status, income, economic activity, subjective health, and stress in order of importance. The regression analysis revealed that alcohol consumption did not affect QOL. Conclusions: Quality of life is influenced by various aspects of life, such as the psychological dimension (e.g., stress and suicidal ideation), physical dimension (e.g., sleep status and subjective health), and social dimension (e.g., income and economic activity). Therefore, developing and implementing integrated interventions considering these multidimensional factors is necessary.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 58%

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Alcohol Consumption and Quality of Life in Middle-aged Men

Lee

2023

Int J High Risk Behav Addict

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“…In August 2021, Busan Metropolitan City (hereafter Busan) was the first to enter a "superaged society" among the seven metropolitan cities in Korea, with the proportion of adults aged 65 years and older exceeding 20% (aged society: 14-20%). (8) The transition from an aged society to a super-aged society took 154 years, 79 years, and 75 years in the advanced western countries of France, Italy, and Germany, respectively. In Japan, the period required for the same transition was 36 years since the aging rate was relatively high.…”

Section: Introductionmentioning

confidence: 99%

Spatial Weighting to Explore Priority Districts for Older Adult Classes in Age-friendly Smart City

Um¹

2022

Sensors and Materials

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We explored priority districts for older adult classes using a spatial weighting technique in an age-friendly smart city initiated by the World Health Organization (WHO) and the Korean government. In the past, the target districts for establishing older adult classes for people aged 60 years and above in South Korea were determined on the basis of the experience or intuition of business operators or the empirical knowledge of a few experts. A hotspot map provides a basis for the public to evaluate the area-wide distribution of older adult classes. Exploring priority districts based on geographically weighted regression (GWR) could offer objective and quantitative evidence for the location feasibility of older adult classes rather than the existing text-based data. The priority ranking presented by each administrative district plays a crucial role in arranging older adult classes in consideration of the unique characteristics of an agefriendly smart city, such as the central business district or outskirts of a metropolitan city. Although South Korea has been selected as a case study for this paper, exploring priority districts for older adult classes utilizing a spatial weighting technique is relevant to other countries attempting to introduce wearable healthcare devices connected to a body sensor network (BSN) for people aged 60 years and above in age-friendly smart cities.

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Social factors of health-related quality of life in older adults: a multivariable analysis

et al. 2023

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Purpose The objective of the analysis was to examine the relationships between sociodemographic, socioeconomic, psychosocial, and behavioural factors and both physical and mental health-related quality of life (HRQOL) in older adults. Methods The analysis was based on recent cross-sectional data of 1687 community residents from a whole population postal survey of German adults aged 65 years and older (33% response rate, 52% female, mean age 76 years). HRQOL was assessed using the 36-Item Short Form Survey (SF-36v2). For a differentiated analysis, hierarchical multiple linear regressions were performed. Results An internal health locus of control, physical activity, social support, and income were positively associated with physical HRQOL (Adj. R2 = 0.34; p < 0.001) and mental HRQOL (Adj. R2 = 0.18; p < 0.001), whereas an external health locus of control and age were negatively associated with both. Alcohol use and educational level were positively associated only with physical HRQOL, whilst female gender was negatively associated only with mental HRQOL. Conclusion Sociodemographic, socioeconomic, psychosocial, and behavioural factors were associated with physical and mental HRQOL. These results highlight the importance of social factors in HRQOL and provide approaches for policy and practice to develop and implement tailored health interventions for older adults. Our findings may be transferable to municipalities in metropolitan areas of high-income European countries. Clinical trial registration: Not applicable.

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A comparison of health-related quality of life and personal, social, and environmental factors of older adults according to a residential area: a propensity score matching analysis

Cited by 6 publications

References 38 publications

Alcohol Consumption and Quality of Life in Middle-aged Men

Alcohol Consumption and Quality of Life in Middle-aged Men

Spatial Weighting to Explore Priority Districts for Older Adult Classes in Age-friendly Smart City

Social factors of health-related quality of life in older adults: a multivariable analysis

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