Health-Related Quality of Life and Associated Factors Among Oldest-Old in China

Chen, C.; Liu, G. G.; Shi, Qiuling; Sun, Yiyuan; Zhang, H.; Wang, M. J.; Jia, H. P.; Zhao, Yiming; Yao, Yao

doi:10.1007/s12603-020-1327-2

Cited by 48 publications

(37 citation statements)

References 28 publications

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“…The VAS score records an individual's self-rated health on a 20-cm, vertical visual analog scale ranging from 0 to 100, with notes at both ends labeling "the worst health you can imagine" (at 0) and "the best health you can imagine" (at 100). In our previous study, the mean VAS score was 66.9 among oldest-old populations and the respondents who had good sleeping quality reported higher VAS score by 7.09 on average, compared to those who had poor sleeping quality (48).…”

Section: Visual Analog Scalesmentioning

confidence: 73%

Reliability, Validity, and Factor Structure of Pittsburgh Sleep Quality Index in Community-Based Centenarians

Zhang

Zhao

et al. 2020

Front. Psychiatry

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Background: The Pittsburgh Sleep Quality Index (PSQI) is a widely used self-report questionnaire that measures general sleep quality in general populations. However, its psychometric properties have yet to be thoroughly examined in longevous persons. Objectives: This study aimed to explore the reliability, validity and factor structure of the Chinese-language version of the PSQI in community-dwelling centenarians. Methods: A total of 958 centenarians (mean age = 102.8 years; 81.8% females) recruited from 18 regions in Hainan, China, completed the PSQI scale. Cronbach's alpha coefficient was used to measure the internal consistency. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to explore the validity and factor structure of the PSQI in this sample. Correlations between the global PSQI score and physical function, depression symptoms, self-reported health status and subjective wellbeing were used to assess divergent validity. Results: The Cronbach's a coefficient of the PSQI was 0.68, and it increased to 0.78 after two components (medication use and daytime dysfunction) were removed. The Spearman correlation coefficients of the PSQI score with each component were statistically significant (P<0.01). EFA yielded a two-factor structure model of the original PSQI-7 and a one-factor structure model of the simplified PSQI-5. The one-factor model with five components (c 2 /df =1.59, CFI=0.99, RMSEA=0.03) fit the data well and had good configural invariance across demographic characteristics (0.53< D c 2 <5.58, P>0.05). Conclusions: The original PSQI showed acceptable applicability in Chinese communitydwelling centenarians, and its psychometric characteristics moderately improved after

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Section: Visual Analog Scalesmentioning

confidence: 73%

Reliability, Validity, and Factor Structure of Pittsburgh Sleep Quality Index in Community-Based Centenarians

Zhang

Zhao

et al. 2020

Front. Psychiatry

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“…In this study, several factors related to depression due to chewing problems were identified among various socioeconomic and health-related factors. Especially, HRQoL, one of the risk factors, is related to age-related diseases in the elderly population [ 37 ]. However, chewing problem or depression could be directly affected or complicated by cognitive disorders and chronic diseases; therefore, future studies need to consider age-related diseases as risk factors.…”

Section: Discussionmentioning

confidence: 99%

Factors Related to Depression Associated with Chewing Problems in the Korean Elderly Population

Chun

Doo

2021

IJERPH

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Unlike younger adults, depression in older adults is sometimes related to chewing problems. This study examined the risk factors related to depression associated with chewing problems in 3747 elderly individuals using the Korean National Health and Nutrition Examination Survey. Approximately 41.2% of the total subjects reported chewing problems. There were significant differences in age, education, marital status, individual income, current smoking status, and aerobic physical activity in relation to chewing problems (p < 0.001 for all). The subjects who experienced chewing problems showed a higher score on the EuroQoL 5 Dimension index (p < 0.001) but a lower health-related quality of life than those with no chewing problems (p < 0.001). The prevalence of depression, which was classified by the patient health questionnaire—9, in subjects with chewing problems was approximately 2 times higher than that in those with no chewing problems (p < 0.001). Subjects with chewing problems were found to have a 1.945-fold higher adjusted risk of depression than those who did not have chewing problems (95% CI = 1.583–2.390, p < 0.001), and subjects with high protein consumption showed a 1.410-fold greater risk of depression (95% CI = 1.144–1.739, p = 0.001) than those with low protein consumption.

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“…These components were published as healthrelated factors that affect the overall QOL. 33 Park quality had a standardised b=0.17, 95% CI 0.01,0.05, p=0.001. This indicated that the park quality significantly influences the QOL.…”

Section: Discussionmentioning

confidence: 96%

Quality of life and its association with individual and park characteristics among elderly qi gong practitioners in Malaysia

Lian

2022

JPHD

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As life expectancy increases, the Quality of life (QOL) among the elderly becomes an essential topic. This study aimed to determine the QOL and its associating individual and environmental factors among elderly qi gong practitioners in Malaysia. This study utilized a cross-sectional design and a self-administered questionnaire, Google Forms, to measure QOL and its associating factors among elderly respondents from a qi gong association. The EQ-5D questionnaire, IPAQ-M and questions adapted from previously published journal articles were used to collect data from respondents. Data were analyzed using SPSS version 22.0, employing multiple linear regression analysis to determine the significance of the independent variables measured against the QOL among this elderly group. The overall QOL for this group was 0.86±0.10, and this elderly group had a higher QOL when compared to other elderly populations. The multiple linear regression model showed that QOL was positively influenced by moderate physical activity level, with standardised b= 0.33, 95% CI 0.04,0.09, p<0.001 and overall park quality score, with standardised b=0.18, 95% CI 0.001,0.005, p=0.001. On the contrary, QOL was negatively influenced by comorbidity with the standardised b=0.26, 95% CI 0.03,0.07, p>0.001. There is a need to promote senior citizen societies to increase awareness of healthier lifestyles. Senior citizen societies can provide quality care, information, and structured activities for the elderly improving QOL.

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Health-Related Quality of Life and Associated Factors Among Oldest-Old in China

Cited by 48 publications

References 28 publications

Reliability, Validity, and Factor Structure of Pittsburgh Sleep Quality Index in Community-Based Centenarians

Reliability, Validity, and Factor Structure of Pittsburgh Sleep Quality Index in Community-Based Centenarians

Factors Related to Depression Associated with Chewing Problems in the Korean Elderly Population

Quality of life and its association with individual and park characteristics among elderly qi gong practitioners in Malaysia

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