A structural equation model of the relation between socioeconomic status, physical activity level, independence and health status in older Iranian people
Autor: | Kerstin Frändin, Lena Nilsson Wikmar, Gholam Reza Sotoudeh, Karin Harms-Ringdahl, Mahyar Salavati, Göran Jutengren, Zahra Mosallanezhad |
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Rok vydání: | 2017 |
Předmět: |
Male
Gerontology Aging Health (social science) Health Status media_common.quotation_subject Physical activity Iran Structural equation modeling 03 medical and health sciences 0302 clinical medicine Goodness of fit Humans 030212 general & internal medicine Exercise Socioeconomic status Aged media_common Estimation Models Statistical 030505 public health Independence Physical activity level Cross-Sectional Studies Social Class Conceptual model Female Independent Living Geriatrics and Gerontology 0305 other medical science Psychology Demography |
Zdroj: | Archives of Gerontology and Geriatrics. 70:123-129 |
ISSN: | 0167-4943 |
DOI: | 10.1016/j.archger.2017.01.004 |
Popis: | Background and aim Health status is an independent predictor of mortality, morbidity and functioning in older people. The present study was designed to evaluate the link between socioeconomic status (SES), physical activity (PA), independence (I) and the health status (HS) of older people in Iran, using structural equation modelling. Methods Using computerized randomly selection, a representative sample of 851 75-year-olds living in Tehran (2007–2008), Iran, was included. Participants answered questions regarding indicators of HS, SES and also PA and I through interviews. Both measurement and conceptual models of our hypotheses were tested using Mplus 5. Maximum-likelihood estimation with robust standard errors (MLR estimator), chi-square tests, the goodness of fit index (and degrees of freedom), as well as the Comparative Fit Index (CFI), and the Root Mean Square Error of Approximation (RSMEA) were used to evaluate the model fit. Results The measurement model yielded a reasonable fit to the data, χ2 = 110.93, df = 38; CFI = 0.97; RMSEA = 0.047, with 90% C.I. = 0.037–0.058. The model fit for the conceptual model was acceptable; χ2 = 271.64, df = 39; CFI = 0.91; RMSEA = 0.084, with 90% C.I. = 0.074–0.093. SES itself was not a direct predictor of HS (β = 0.13, p = 0.059) but it was a predictor of HS either through affecting PA (β = 0.31, p |
Databáze: | OpenAIRE |
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