Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313478462> ?p ?o ?g. }
- W4313478462 endingPage "101325" @default.
- W4313478462 startingPage "101325" @default.
- W4313478462 abstract "The number of Chinese oldest-old (aged 80+) is growing rapidly and some studies have shown that the health status is unequal among older persons in different regions. However, to the best of our knowledge, no study to date has analyzed health inequalities among the oldest-old in urban and rural areas in China. This study therefore aimed to examine the correlation between health inequalities among the oldest-old in urban and rural areas of China. From the 8th wave of the Chinese Longitudinal Health Longevity Survey (CLHLS), we selected 8124 oldest-old participants who met the requirements of the study. Chi-square tests were used to analyze the distribution characteristics of indicators and a logistic model was performed to determine the factors associated with different self-rated health (SRH). The Fairlie model was adopted to decompose the causes and related contributions to health inequality. Our results found that of the Chinese oldest-old, 46.57% were in good health. Urban residents reported significantly better SRH than rural residents (50.17% vs. 45.13%). Variables associated with good and poor SRH had different distribution characteristics. The logistic model suggested that marital status, alcohol consumption, and annual income were important factors underlying the SRH differences. Our decomposition analysis indicated that 76.64% of the SRH differences were caused by observational factors, and validated that the difference in SRH between urban and rural areas was significantly (P<0.05) associated with exercise status (45.44%), annual income (37.64%), social activity status (3.75%), age (-5.27%), and alcohol consumption (-2.66%). Therefore, socioeconomic status and individual lifestyle status were the main factors underlying the health inequality between urban and rural Chinese oldest-old." @default.
- W4313478462 created "2023-01-06" @default.
- W4313478462 creator A5009613920 @default.
- W4313478462 creator A5014890291 @default.
- W4313478462 creator A5020248771 @default.
- W4313478462 creator A5025495036 @default.
- W4313478462 creator A5028081871 @default.
- W4313478462 creator A5046331244 @default.
- W4313478462 creator A5087140986 @default.
- W4313478462 date "2023-03-01" @default.
- W4313478462 modified "2023-09-25" @default.
- W4313478462 title "Decomposition analysis of health inequalities between the urban and rural oldest-old populations in China: Evidence from a national survey" @default.
- W4313478462 cites W2075989132 @default.
- W4313478462 cites W2112868375 @default.
- W4313478462 cites W2164875618 @default.
- W4313478462 cites W2260702373 @default.
- W4313478462 cites W2592677865 @default.
- W4313478462 cites W2738985201 @default.
- W4313478462 cites W2901509063 @default.
- W4313478462 cites W2958229613 @default.
- W4313478462 cites W3004681802 @default.
- W4313478462 cites W3011246073 @default.
- W4313478462 cites W3014151412 @default.
- W4313478462 cites W3017260539 @default.
- W4313478462 cites W3035454261 @default.
- W4313478462 cites W3093932732 @default.
- W4313478462 cites W3121205238 @default.
- W4313478462 cites W3122910082 @default.
- W4313478462 cites W3186289492 @default.
- W4313478462 cites W3200995979 @default.
- W4313478462 cites W3203945186 @default.
- W4313478462 cites W3217590880 @default.
- W4313478462 cites W4200598522 @default.
- W4313478462 cites W4206179131 @default.
- W4313478462 cites W4206519000 @default.
- W4313478462 cites W4210417346 @default.
- W4313478462 cites W4210832633 @default.
- W4313478462 cites W4210850684 @default.
- W4313478462 cites W4212836153 @default.
- W4313478462 cites W4214483713 @default.
- W4313478462 cites W4244461149 @default.
- W4313478462 doi "https://doi.org/10.1016/j.ssmph.2022.101325" @default.
- W4313478462 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36618546" @default.
- W4313478462 hasPublicationYear "2023" @default.
- W4313478462 type Work @default.
- W4313478462 citedByCount "3" @default.
- W4313478462 countsByYear W43134784622023 @default.
- W4313478462 crossrefType "journal-article" @default.
- W4313478462 hasAuthorship W4313478462A5009613920 @default.
- W4313478462 hasAuthorship W4313478462A5014890291 @default.
- W4313478462 hasAuthorship W4313478462A5020248771 @default.
- W4313478462 hasAuthorship W4313478462A5025495036 @default.
- W4313478462 hasAuthorship W4313478462A5028081871 @default.
- W4313478462 hasAuthorship W4313478462A5046331244 @default.
- W4313478462 hasAuthorship W4313478462A5087140986 @default.
- W4313478462 hasBestOaLocation W43134784621 @default.
- W4313478462 hasConcept C110121322 @default.
- W4313478462 hasConcept C126322002 @default.
- W4313478462 hasConcept C129047720 @default.
- W4313478462 hasConcept C134306372 @default.
- W4313478462 hasConcept C142724271 @default.
- W4313478462 hasConcept C144024400 @default.
- W4313478462 hasConcept C149923435 @default.
- W4313478462 hasConcept C151956035 @default.
- W4313478462 hasConcept C166957645 @default.
- W4313478462 hasConcept C191935318 @default.
- W4313478462 hasConcept C205649164 @default.
- W4313478462 hasConcept C2781164080 @default.
- W4313478462 hasConcept C2781354955 @default.
- W4313478462 hasConcept C2908647359 @default.
- W4313478462 hasConcept C33923547 @default.
- W4313478462 hasConcept C45355965 @default.
- W4313478462 hasConcept C45555294 @default.
- W4313478462 hasConcept C71924100 @default.
- W4313478462 hasConcept C74909509 @default.
- W4313478462 hasConcept C99454951 @default.
- W4313478462 hasConceptScore W4313478462C110121322 @default.
- W4313478462 hasConceptScore W4313478462C126322002 @default.
- W4313478462 hasConceptScore W4313478462C129047720 @default.
- W4313478462 hasConceptScore W4313478462C134306372 @default.
- W4313478462 hasConceptScore W4313478462C142724271 @default.
- W4313478462 hasConceptScore W4313478462C144024400 @default.
- W4313478462 hasConceptScore W4313478462C149923435 @default.
- W4313478462 hasConceptScore W4313478462C151956035 @default.
- W4313478462 hasConceptScore W4313478462C166957645 @default.
- W4313478462 hasConceptScore W4313478462C191935318 @default.
- W4313478462 hasConceptScore W4313478462C205649164 @default.
- W4313478462 hasConceptScore W4313478462C2781164080 @default.
- W4313478462 hasConceptScore W4313478462C2781354955 @default.
- W4313478462 hasConceptScore W4313478462C2908647359 @default.
- W4313478462 hasConceptScore W4313478462C33923547 @default.
- W4313478462 hasConceptScore W4313478462C45355965 @default.
- W4313478462 hasConceptScore W4313478462C45555294 @default.
- W4313478462 hasConceptScore W4313478462C71924100 @default.
- W4313478462 hasConceptScore W4313478462C74909509 @default.
- W4313478462 hasConceptScore W4313478462C99454951 @default.
- W4313478462 hasLocation W43134784621 @default.
- W4313478462 hasLocation W43134784622 @default.