Physical Health and Quality of Life among Older People in the Context of Chinese Culture

Zhang, Lin; Wei, Xinjie; Ma, Xueyao; Ren, Zhihong

doi:10.3390/ijerph18136798

Cited by 6 publications

(6 citation statements)

References 36 publications

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“…The scoring method was as follows: 2 points for ‘yes,’ 1 point for ‘do not know,’ and 0 points for ‘no,’ resulting in a total score range of −24 to 24. The scale was employed to assess the subjective wellbeing of Chinese older adults ( 32 , 33 ). The Cronbach’s α coefficients of the four sub-dimensions of the MUNSH scale in the present study were 0.717, 0.739, 0.693, and 0.713, respectively, with a KMO coefficient of 0.907, indicating good reliability.…”

Section: Methodsmentioning

confidence: 99%

The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis

Liu,

Gan,

Tan

et al. 2023

Front. Public Health

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IntroductionThe study explored the relationship between subjective well-being and the quality of life among older adults. It highlights the importance of understanding how these factors are interconnected in the context of an aging population.MethodsDescriptive statistics were used to analyze the scores of general demographic characteristics, subjective wellbeing and quality of life. Simple correlation analysis and canonical correlation analysis were employed to analyze the relationship between subjective wellbeing and quality of life among older adults.ResultsData from 892 older adults were collected. Canonical correlation analysis revealed four pairs of canonical variables, with the first four pairs of canonical correlation coefficients all being statistically significant (0.695, 0.179, 0.147, 0.121) (p < 0.05), and the first pair of canonical variables explaining 93.03% of the information content. From the canonical loading coefficients, Vitality and mental health contributed the most to the quality of life (U1) canonical variable. The canonical variable V1, which corresponded to subjective wellbeing, was reflected by a combination of positive affect, negative affect, positive experience and negative experience. X1 (physical functioning), X2 (role-physical), X3 (bodily pain), X4 (general health), X5 (vitality), X6 (social functioning), X7 (role-emotional) and X8 (mental health) were positively correlated with Y1 (positive affect) and Y3 (positive experience), negatively correlated with Y2 (negative affect) and Y4 (negative experience). Cross-loadings revealed that physical functioning, bodily pain, general health, vitality, social functioning and mental health were the main factors reflecting the subjective wellbeing of older adults.DiscussionAs quality of life among older adults was highly correlated with subjective wellbeing, appropriate measures should be taken to account for individual characteristics of older adults, and various factors should be integrated to improve their subjective wellbeing.

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Section: Methodsmentioning

confidence: 99%

The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis

Liu,

Gan,

Tan

et al. 2023

Front. Public Health

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“…According to Maslow’s hierarchy of needs theory, health is a low-level and basic need for all individuals. When this low and basic need is not satisfied, it is difficult for older adults to pursue higher-level needs, leading to negative emotions [ 10 ]. This may be why health can affect quality of life/life satisfaction.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This may be why health can affect quality of life/life satisfaction. There is also lots of literature to support this idea, for example, Zhang et al (2021) found that self-rated health has a positive direct and indirect effect on quality of life/life satisfaction among Chinese older adults [ 10 ]. Chan and Wong (2022) confirmed the existence of causal effect of self-rated health on life satisfaction [ 35 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Healthy aging is not only reflected by the good health status of older adults, but more importantly, by the improvement of life satisfaction [ 9 ]. As health is a key determinant for older adults to realize their values, and achieve their well-being [ 10 ], the examination of the relationship between health and life satisfaction will constitute another crucial component of the research. To achieve the goal of healthy aging, that is, the well-being of older adults, many drivers should be considered, among which health behaviors are undoubtedly important and will have a profound impact on health outcomes [ 11 – 13 ].…”

Section: Introductionmentioning

confidence: 99%

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Enhancing understanding of healthy aging based on time-varying dependencies among multidimensional health, life satisfaction, and health behaviors of older adults aged 60 years and over

Zhang,

et al. 2024

BMC Public Health

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Background Healthy aging is a process of not only achieving good health but also increasing the life satisfaction of older adults aged 60 years and over, in which health behaviors play an important role. There is a lack of research on the time-varying dependencies between health, life satisfaction, and health behaviors, impeding a deeper understanding of healthy aging. Purpose To develop an integrated framework for modeling the interrelationships among the components of healthy aging between multiple time slices. Methods Based on the Chinese Longitudinal Healthy Living Survey (CLHLS) data in the three waves of 2011/2012, 2014, and 2017/2018, Bayesian network and dynamic Bayesian network are jointly employed to study the relationships among the components of healthy aging within one time slice, as well as to explore the time-varying dependencies among the components between time slices. Results The results of structure learning reveal the direction of effects between different dimensions of health, with mental health and social health affecting physical health and self-rated health affecting both physical and mental health. In addition, health behaviors are found to affect mental health and social health, while self-rated health can influence life satisfaction. The parameters learned from the data show the magnitude and direction of concurrent effects, one-period lagged effects and two-period lagged effects between the factors, which find that the time-varying dependencies vary but are generally positive, long-term, and accumulative over time. In addition, the results of autoregressive effects show the positive predictive effects of health and life satisfaction. Conclusions It confirms the influence pathway from health behaviors to multidimensional health to life satisfaction, and the time-varying dependencies among the components of healthy aging, which facilitates a deeper understanding of healthy aging. Combining the results of autoregressive effects and descriptive statistics, it further indicates that healthy aging is a comprehensive result arising from interactions of multiple factors. Policymakers should guide older adults aged 60 years and over to adopt healthier behaviors and ensure the long-term sustainability and continuity of policies.

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“…This importance is due to the fact that the most fundamental stage of emotional functions is “the form of adaptation that appears in the information processing process, which is preparation that makes people adapt themselves to environments to take actions that promote well-being” [ 4 ]. Zhang et al [ 5 ] indicated the relationship between emotions and quality of life and suggested teaching emotion regulation strategies to seniors to improve their quality of life. In particular, to improve the quality of life of individuals in vulnerable situations, researchers should examine the characteristics of emotions.…”

Section: Introductionmentioning

confidence: 99%

A Study on Emotions to Improve the Quality of Life of South Korean Senior Patients Residing in Convalescent Hospitals

Kim

Rhee

et al. 2022

IJERPH

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This study examined the occurrence of emotion types and the contents and meanings of individual emotion types to improve the quality of life of South Korean senior patients in convalescent hospitals. This research is a sequential mixed study in which we conducted emotion frequency and content analyses with 20 elderly resident patients in a convalescent hospital. In the emotion frequency analysis, we performed emotion occurrence frequency analysis and clustering to create groups of subjects that showed similar distributions of emotions. The study results found that South Korean senior patients displayed six major emotions: joy, sorrow, anger, surprise, fear, and tranquility, including mixed emotional states. In the emotion content analysis, we used NVivo to categorize and analyze the interview contents based on emotion types. The study results show the characteristics of emotions according to patients’ treatment and recovery, life within narrow boundaries, relationships with new people and family, and the appearances of themselves that they could not easily but must accept. In addition, these characteristics appeared in health, environment, relationships, and psychological structures. Ultimately, the study results suggest that improving the quality of life of South Korean senior patients requires understanding of their emotions and examining diverse emotions in multiple dimensions.

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Physical Health and Quality of Life among Older People in the Context of Chinese Culture

Cited by 6 publications

References 36 publications

The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis

The association between quality of life and subjective wellbeing among older adults based on canonical correlation analysis

Enhancing understanding of healthy aging based on time-varying dependencies among multidimensional health, life satisfaction, and health behaviors of older adults aged 60 years and over

A Study on Emotions to Improve the Quality of Life of South Korean Senior Patients Residing in Convalescent Hospitals

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