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Cramm, J. M.; Moller, V.; Nieboer, A. P. – Social Indicators Research, 2012
Our study used multilevel regression analysis to identify individual- and neighbourhood-level factors that determine individual-level subjective well-being in Rhini, a deprived suburb of Grahamstown in the Eastern Cape province of South Africa. The Townsend index and Gini coefficient were used to investigate whether contextual neighbourhood-level…
Descriptors: Socioeconomic Status, Marital Status, Income, Poverty
Kavi Kumar, K. S.; Ramachandran, Maithili; Viswanathan, Brinda – Social Indicators Research, 2009
Weight-for-squared height or body mass index (BMI) is often considered as an effective predictor of morbidity and mortality rates. This study uses BMI data from a sample of ever-married women in the age group of 15-49 years in the North Indian state of Uttar Pradesh for the year 1998-1999, to analyse the determinants of chronic energy deficiency…
Descriptors: Body Composition, Foreign Countries, Intervention, Marital Status
Headey, Bruce; Grabka, Markus M. – Social Indicators Research, 2007
The German and Australian "longitudinal" surveys analysed here are the first national representative surveys to show that (1) people who continuously own a pet are the healthiest group and (2) people who cease to have a pet or never had one are less healthy. Most previous studies which have claimed that pets confer health benefits were…
Descriptors: Marital Status, Academic Achievement, Social Sciences, Foreign Countries