Literature DB >> 14718221

Contrasting socioeconomic profiles related to healthier lifestyles in China and the United States.

Soowon Kim1, Michael Symons, Barry M Popkin.   

Abstract

Health disparity by socioeconomic status has recently become an important public health concern. Socioeconomic status may affect health status through several pathways including lifestyle choices. The authors tested the link between socioeconomic status and lifestyle in China (in 1993) and in the United States (in 1994-1996), countries with high contrasts in development, to understand health discrepancy issues cross-nationally. Healthfulness of lifestyle was measured using the Lifestyle Index, a summary score that integrates four key lifestyle factors: diet, physical activity, smoking, and alcohol consumption. Income and education were used as indicators of socioeconomic status. In China, as socioeconomic status improved, lifestyle was less healthy (relative odds for the highest socioeconomic status group = 0.19, 95% confidence interval: 0.10, 0.35). Conversely, in the United States, higher socioeconomic status was related to a healthier lifestyle (relative odds for the highest socioeconomic status group = 3.81, 95% confidence interval: 2.94, 4.94). The contrasting relation between socioeconomic status and lifestyle depicts different phases of the lifestyle transition (changes in lifestyles accompanying economic development). The differences may in part explain why nutrition-related noncommunicable diseases are more prevalent in the developing world among people with a high socioeconomic status, whereas often the opposite is found in developed societies. Public health programs may benefit by advising each socioeconomic status group separately, while considering the country's level of development.

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Mesh:

Year:  2004        PMID: 14718221     DOI: 10.1093/aje/kwh006

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  44 in total

1.  Leisure-time physical activity, cardiovascular risk factors and mortality during a 34-year follow-up in men.

Authors:  Salla Savela; Pentti Koistinen; Reijo S Tilvis; Arto Y Strandberg; Kaisu H Pitkälä; Veikko V Salomaa; Tatu A Miettinen; Timo E Strandberg
Journal:  Eur J Epidemiol       Date:  2010-06-24       Impact factor: 8.082

2.  Do early-life conditions predict functional health status in adulthood? The case of Mexico.

Authors:  Cheng Huang; Beth J Soldo; Irma T Elo
Journal:  Soc Sci Med       Date:  2010-10-15       Impact factor: 4.634

3.  Socioeconomic correlates of smoking among an ethnically diverse sample of 8th grade adolescents in Southern California.

Authors:  Jennifer B Unger; Ping Sun; C Anderson Johnson
Journal:  Prev Med       Date:  2007-01-17       Impact factor: 4.018

4.  Socioeconomic status and cardiovascular disease among men: the Korean national health service prospective cohort study.

Authors:  Yun-Mi Song; Robert L Ferrer; Sung-il Cho; Joohon Sung; Shah Ebrahim; George Davey Smith
Journal:  Am J Public Health       Date:  2006-01       Impact factor: 9.308

5.  A healthy lifestyle pattern is associated with a metabolically healthy phenotype in overweight and obese adults: a cross-sectional study.

Authors:  Farah Naja; Leila Itani; Mona P Nasrallah; Hassan Chami; Hani Tamim; Lara Nasreddine
Journal:  Eur J Nutr       Date:  2019-07-30       Impact factor: 5.614

6.  Less traditional diets in Chinese mothers and children are similarly linked to socioeconomic and cohort factors but vary with increasing child age.

Authors:  Tracy Dearth-Wesley; Penny Gordon-Larsen; Linda S Adair; Anna Maria Siega-Riz; Bing Zhang; Barry M Popkin
Journal:  J Nutr       Date:  2011-07-06       Impact factor: 4.798

7.  Cognitive function as a prospective predictor of falls.

Authors:  Tuo Yu Chen; Carol L Peronto; Jerri D Edwards
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2012-08-03       Impact factor: 4.077

8.  Socio-economic disparities in mortality among the elderly in China.

Authors:  Weixiang Luo; Yu Xie
Journal:  Popul Stud (Camb)       Date:  2014-08-06

9.  The relationship between socio-economic factors and responsiveness gaps in primary, preventative and health promotion services.

Authors:  Yair Zalmanovitch; Dana R Vashdi
Journal:  Health Expect       Date:  2014-07-02       Impact factor: 3.377

10.  Risk factors of type 2 diabetes among Korean adults: The 2001 Korean national health and nutrition examination survey.

Authors:  Hae-Rang Chung; Rafael Pérez-Escamilla
Journal:  Nutr Res Pract       Date:  2009-12-31       Impact factor: 1.926

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