Multidimensional evaluation of healthy life expectancy indicators based on mental health among the rural older population: A large-scale cross-sectional study

Hu, Ze; Liu, Xiaotian; Jiang, Feng; Ma, Li; Yang, Jing; Chen, Ying; Zhu, Linghui; Mao, Zhenxing; Hou, Jian; Wang, Chongjian

doi:10.1016/j.jad.2022.09.033

Cited by 7 publications

(2 citation statements)

References 27 publications

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“…healthy life expectancy is typically measured following the Sullivan methodology, which combines unhealthy status within a life table framework [ 5 ]. With the diversity of health concepts, unhealthy health conditions with different meanings correspond to different healthy life expectancies such as disability-free life expectancy [ 6 ], healthy life expectancy without specific diseases [ 7 ], and self-rated healthy life expectancy [ 8 ]. These metrics are easily calculable, and unhealthy rate data are readily available, with numerous corresponding studies.…”

Section: Introductionmentioning

confidence: 99%

Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China

Chen,

Cao,

et al. 2024

BMC Public Health

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Background HALE is now a regular strategic planning indicator for all levels of the Chinese government. However, HALE measurements necessitate comprehensive data collection and intricate technology. Therefore, effectively converting numerous diseases into the years lived with disability (YLD) rate is a significant challenge for HALE measurements. Our study aimed to construct a simple YLD rate measurement model with high applicability based on the current situation of actual data resources within China to address challenges in measuring HALE target values during planning. Methods First, based on the Chinese YLD rate in the Global Burden of Disease (GBD) 2019, Pearson correlation analysis, the global optimum method, etc., was utilized to screen the best predictor variables from the current Chinese data resources. Missing data for predictor variables were filled in via spline interpolation. Then, multiple linear regression models were fitted to construct the YLD rate measurement model. The Sullivan method was used to measure HALE. The Monte Carlo method was employed to generate 95% uncertainty intervals. Finally, model performances were assessed using the mean absolute error (MAE) and mean absolute percentage error (MAPE). Results A three-input-parameter model was constructed to measure the age-specific YLD rates by sex in China, directly using the incidence of infectious diseases, the incidence of chronic diseases among persons aged 15 and older, and the addition of an under-five mortality rate covariate. The total MAE and MAPE for the combined YLD rate were 0.0007 and 0.5949%, respectively. The MAE and MAPE of the combined HALE in the 0-year-old group were 0.0341 and 0.0526%, respectively. There were slightly fewer males (0.0197, 0.0311%) than females (0.0501, 0.0755%). Conclusion We constructed a high-accuracy model to measure the YLD rate in China by using three monitoring indicators from the Chinese national routine as predictor variables. The model provides a realistic and feasible solution for measuring HALE at the national and especially regional levels, considering limited data.

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Section: Introductionmentioning

confidence: 99%

Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China

Chen,

Cao,

et al. 2024

BMC Public Health

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“…Generally, older adults' quality of life declines due to changes in physical, psychological, and social roles in society, which cause them to have many limitations, weaknesses, and disabilities. The reduction in life expectancy caused by anxiety, depression, or comorbidity and these psychological problems impact the older adults' quality of life in rural population (Hu et al, 2022). Many people have negative perceptions and doubts and give up in their old age.…”

Section: Introductionmentioning

confidence: 99%

The Practice of Eight Family Functions: Differences Between Rural and Urban Aging Families in Indonesia

Pujihasvuty¹,

Nasution²,

Naibaho³

et al. 2023

Jur. Ilm. Kel. & Kons.

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The family is essential in improving the older adults’ quality of life, where the family's role can be reflected in the eight family function practices: 1) Religious; 2) Sociocultural; 3) Love; 4) Protection; 5) Reproductive; 6) Socio-education; 7) Economic; and 8) Environmental. This study aimed to determine the differences in family function practices among aging families in rural and urban areas. Data were analyzed using Cross-Tabulation with the Chi-Square and Independent T-test from a sample of 12,391 aging families in the 2019 Program Accountability Performance Survey. The results of the Independent T-test p<0.001 indicate a significant difference in implementing each family function between aging families in urban and rural areas. Despite both regions' low index scores for eight family function practices, aging families in the urban area practice slightly better than aging families in the rural. The characteristics that distinguished the implementation of family functions in urban and rural areas were educational and economic factors. In aging families, economic and love functions are most commonly performed in rural and urban areas, whereas reproductive and educational functions are the least performed. This research suggests intensively socializing about the eight family functions and educating on the importance of reproductive and educational functions in improving the quality of life in aging families.

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Physical activity attenuated the negative effects of obesity on chronic disease-free life expectancy in rural adults

Jiang

Liu

et al. 2023

J Public Health (Berl.)

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Multidimensional evaluation of healthy life expectancy indicators based on mental health among the rural older population: A large-scale cross-sectional study

Cited by 7 publications

References 27 publications

Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China

Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China

The Practice of Eight Family Functions: Differences Between Rural and Urban Aging Families in Indonesia

Physical activity attenuated the negative effects of obesity on chronic disease-free life expectancy in rural adults

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