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Estimation of the population, death, and quality of life in Shaanxi Province, western China: a cross-sectional study.
Miao, Xinlei; Chen, Jun; Wu, Qiong; Meng, Wen; Ren, Lin; Wu, Zhiyuan; Guo, Xiuhua; Zhang, Xiang; Meng, Qun.
Affiliation
  • Miao X; School of Public Health, Capital Medical University, Beijing 100069, China.
  • Chen J; Health Management Center, the Second Hospital of Dalian Medical University, Dalian, Liaoning 116023, China.
  • Wu Q; Center of Information Statistics, Health Information Center of Shaanxi Province, Xi'an, Shaanxi 710003, China.
  • Meng W; Center of Information Statistics, National Health Commission of the People's Republic of China, Beijing 100044, China.
  • Ren L; Department of Infection Prevention & Control, Peking University People's Hospital, Beijing 100044, China.
  • Wu Z; Center of Information Statistics, Health Information Center of Shaanxi Province, Xi'an, Shaanxi 710003, China.
  • Guo X; School of Public Health, Capital Medical University, Beijing 100069, China.
  • Zhang X; School of Public Health, Capital Medical University, Beijing 100069, China.
  • Meng Q; Information Management Center, Affiliated Zhongshan Hospital of Dalian University, Liaoning 116001, China.
Chin Med J (Engl) ; 136(15): 1832-1838, 2023 Aug 05.
Article de En | MEDLINE | ID: mdl-36723909
BACKGROUND: Measuring the health of the population is of great significance to the development of a region. We aimed to estimate the population, probability of death, and quality of life in western China. METHODS: We calculated the age-specific mortality rate and prevalence rate of diseases and injuries using the Full Population Database and the Home Page of Inpatient Medical Record. We used multiple interpolation methods to insert missing information from the death data and the model of Kannisto to adjust the mortality rate for elderly individuals. The age-specific prevalence rate of diseases and injuries was adjusted according to the standard ratio of age and methods of equal proportional allocation. Life expectancy was calculated by a life table, and the quality of life was estimated using the Sullivan method. RESULTS: The total population continued to increase in 2015 to 2019 in the Shaanxi Province, China. The mortality rate of children under five has improved, and the mortality rate of people over 65 is decreasing year by year. Life expectancy increased from 74.66 years in 2015 to 77.19 years in 2019. Even with the total risk of disease and injury, the health-adjusted life expectancy increased by 1.90 years within 5 years, and the number of unhealthy years significantly improved. Health-adjusted life expectancy increased by 1.75 years when only considered the ten major disease systems (tumors; endocrinology, nutrition and metabolism; mental and behavioral disorders; nervous system; sensory diseases; circulatory system; respiratory system; digestive system; genitourinary system; musculoskeletal system and connective tissue), and the number of unhealthy years increased slightly. CONCLUSIONS: In the past five years, Shaanxi Province has made progress in improving life expectancy and controlling the development of chronic diseases. It is necessary to take specific preventive measures and improve the quality of basic public health services.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Qualité de vie / Espérance de vie Type d'étude: Observational_studies / Prevalence_studies / Risk_factors_studies Aspects: Patient_preference Limites: Aged / Child / Humans Pays/Région comme sujet: Asia Langue: En Journal: Chin Med J (Engl) Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Qualité de vie / Espérance de vie Type d'étude: Observational_studies / Prevalence_studies / Risk_factors_studies Aspects: Patient_preference Limites: Aged / Child / Humans Pays/Région comme sujet: Asia Langue: En Journal: Chin Med J (Engl) Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Chine