Show simple item record

Cross‐Sectional and Longitudinal Associations of BMI with Socioeconomic Characteristics

dc.contributor.authorMujahid, Mahasin S.en_US
dc.contributor.authorRoux, Ana V.en_US
dc.contributor.authorBorrell, Luisa N.en_US
dc.contributor.authorNieto, F. Javieren_US
dc.date.accessioned2012-10-02T17:20:11Z
dc.date.available2012-10-02T17:20:11Z
dc.date.issued2005-08en_US
dc.identifier.citationMujahid, Mahasin S.; Roux, Ana V.; Borrell, Luisa N.; Nieto, F. Javier (2005). "Cross‐Sectional and Longitudinal Associations of BMI with Socioeconomic Characteristics." Obesity Research 13(8). <http://hdl.handle.net/2027.42/93701>en_US
dc.identifier.issn1071-7323en_US
dc.identifier.issn1550-8528en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/93701
dc.description.abstractObjective : To examine cross sectional and longitudinal associations of socioeconomic position and neighborhood environments with BMI in a middle‐aged and bi‐ethnic cohort. Research Methods and Procedures : Analyses were based on 13, 167 subjects (45 to 64 years) who participated in the Atherosclerosis Risk in Communities Study, a population‐based study. Census block groups were used as proxies for neighborhoods and were characterized using a summary socioeconomic score. BMI was measured at baseline and at three follow‐up visits over a 9‐year period. Results : Individual and neighborhood socioeconomic characteristics were independently and inversely associated with BMI at baseline in women [mean difference in kilograms per meter squared per unit increase in socioeconomic category (SE) for white and black women respectively; −1.56 (0.14), −1.59 (0.19) for education; −1.07 (0.10), −1.18 (0.18) for income; and −1.04 (0.09), −0.77 (0.18) for neighborhood characteristics]. Results for men were not as consistent. Baseline BMI was negatively associated with income in white men but was positively associated with education, income, and neighborhood characteristics in black men. BMI increased over time regardless of gender or race and in most age groups. In whites, there were no consistently patterned differences in longitudinal trends in BMI by individual or neighborhood socioeconomic characteristics. However, in blacks, there was some evidence of greater increases in the higher socioeconomic status groups. Discussion : Socioeconomic factors are inversely associated with BMI in middle‐aged women, possibly reflecting socially patterned exposures occurring in childhood and adolescence. However, recent increases over time in BMI are either not clearly patterned by socioeconomic factors or are greater in the higher socioeconomic status groups.en_US
dc.publisherWiley Periodicals, Inc.en_US
dc.publisherBlackwell Publishing Ltden_US
dc.subject.otherRaceen_US
dc.subject.otherBMIen_US
dc.subject.otherSocioeconomic Statusen_US
dc.subject.otherEthnicityen_US
dc.subject.otherNeighborhoodsen_US
dc.titleCross‐Sectional and Longitudinal Associations of BMI with Socioeconomic Characteristicsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelEndocrinologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Epidemiology, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationotherDepartment of Epidemiology, Columbia University, New York; and Department of Population Health, University of Wisconsin, Madison, Wisconsinen_US
dc.identifier.pmid16129724en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/93701/1/oby.2005.171.pdf
dc.identifier.doi10.1038/oby.2005.171en_US
dc.identifier.sourceObesity Researchen_US
dc.identifier.citedreferenceLewis, C. E., et al ( 2000 ) Weight gain continues in the 1990s: 10‐year trends in weight and overweight from the CARDIA study: Coronary Artery Risk Development in Young Adults. Am J Epidemiol. 151: 1172 – 1181.en_US
dc.identifier.citedreferenceDiez Roux, A. V., Merkin, S. S., Arnett, D., et al ( 2001 ) Neighborhood of residence and incidence of coronary heart disease. N Engl J Med. 345: 99 – 106.en_US
dc.identifier.citedreferenceSundquist, K., Winkleby, M., Ahlen, H., Johansson, SE. ( 2004 ) Neighborhood socioeconomic environment and incidence of coronary heart disease: a follow‐up study of 25, 319 women and men in Sweden. Am J Epidemiol. 159: 655 – 662.en_US
dc.identifier.citedreferenceDiez Roux, AV. ( 2003 ) Residential environments and cardiovascular risk. J Urban Health. 80: 569 – 589.en_US
dc.identifier.citedreferenceSteptoe, A., Marmot, M. ( 2002 ) The role of psychobiological pathways in socio‐economic inequalities in cardiovascular disease risk. Eur Heart J. 23: 13 – 25.en_US
dc.identifier.citedreferenceInvestigators, TA. ( 1989 ) The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. Am J Epidemiol. 129: 687 – 702.en_US
dc.identifier.citedreferenceDiez‐Roux, A. V., Kiefe, C. I., Jacobs, D. R., et al ( 2001 ) Area characteristics and individual‐level socioeconomic position indicators in three population‐based epidemiologic studies. Ann Epidemiol. 11: 395 – 405.en_US
dc.identifier.citedreferenceBureau of the Census ( 1982 ) 1980 Census of Population: Classified Index of Industries and Occupations Government Printing Office Washington DC.en_US
dc.identifier.citedreferenceJacobs, D. R. Jr, Hannan, P. J., Wallace, D., Liu, K., Williams, O. D., Lewis, CE. ( 1999 ) Interpreting age, period and cohort effects in plasma lipids and serum insulin using repeated measures regression analysis: the CARDIA Study. Stat Med. 18: 655 – 679.en_US
dc.identifier.citedreferenceJuhaeri, J., Stevens, J., Jones, D. W., Arnett, D. ( 2003 ) Associations of aging and birth cohort with body mass index in a biethnic cohort. Obes Res. 11: 426 – 433.en_US
dc.identifier.citedreferenceBurke, G. L., Savage, P. J., Manolio, T. A., et al ( 1992 ) Correlates of obesity in young black and white women: the CARDIA Study. Am J Public Health. 82: 1621 – 1625.en_US
dc.identifier.citedreferenceSobal, J., Stunkard, AJ. ( 1989 ) Socioeconomic status and obesity: a review of the literature. Psychol Bull. 105: 260 – 275.en_US
dc.identifier.citedreferenceCroft, J. B., Strogatz, D. S., Keenan, N. L., James, S. A., Malarcher, A. M., Garrett, JM. ( 1993 ) The independent effects of obesity and body fat distribution on blood pressure in black adults: the Pitt County study. Int J Obes Relat Metab Disord. 17: 391 – 397.en_US
dc.identifier.citedreferenceLuepker, R. V., Rosamond, W. D., Murphy, R., et al ( 1993 ) Socioeconomic status and coronary heart disease risk factor trends: The Minnesota Heart Survey. Circulation. 88: 2172 – 2179.en_US
dc.identifier.citedreferenceEllaway, A., Anderson, A., Macintyre, S. ( 1997 ) Does area of residence affect body size and shape? Int J Obes Relat Metab Disord. 21: 304 – 308.en_US
dc.identifier.citedreferenceRobert, S. A., Reither, EN. ( 2004 ) A multilevel analysis of race, community disadvantage, and body mass index among adults in the US. Soc Sci Med. 59: 2421 – 2434.en_US
dc.identifier.citedreferenceLahti‐Koski, M., Jousilahti, P., Pietinen, P. ( 2001 ) Secular trends in body mass index by birth cohort in eastern Finland from 1972 to 1997. Int J Obes Relat Metab Disord. 25: 727 – 734.en_US
dc.identifier.citedreferencevan Lenthe, F. J., Droomers, M., Schrijvers, C. T., Mackenbach, JP. ( 2000 ) Socio‐demographic variables and 6 year change in body mass index: longitudinal results from the GLOBE study. Int J Obes Relat Metab Disord. 24: 1077 – 1084.en_US
dc.identifier.citedreferenceSundquist, J., Johansson, SE. ( 1998 ) The influence of socioeconomic status, ethnicity and lifestyle on body mass index in a longitudinal study. Int J Epidemiol. 27: 57 – 63.en_US
dc.identifier.citedreferenceKahn, H. S., Williamson, DF. ( 1990 ) The contributions of income, education and changing marital status to weight change among US men. Int J Obes. 14: 1057 – 1068.en_US
dc.identifier.citedreferenceBurke, G. L., Bild, D. E., Hilner, J. E., Folsom, A. R., Wagenknecht, L. E., Sidney, S. ( 1996 ) Differences in weight gain in relation to race, gender, age and education in young adults: the CARDIA Study: Coronary Artery Risk Development in Young Adults. Ethn Health. 1: 327 – 335.en_US
dc.identifier.citedreferenceMoore, D. B., Howell, P. B., Treiber, FA. ( 2002 ) Changes in overweight in youth over a period of 7 years: impact of ethnicity, gender and socioeconomic status. Ethn Dis. 12: S1 – S83.‐6.en_US
dc.identifier.citedreferenceDennis, B. H., Pajak, A., Pardo, B., Davis, C. E., Williams, O. D., Piotrowski, W. ( 2000 ) Weight gain and its correlates in Poland between 1983 and 1993. Int J Obes Relat Metab Disord. 24: 1507 – 1513.en_US
dc.identifier.citedreferenceLittle, R. J., Raghunathan, T. ( 1999 ) On summary measures analysis of the linear mixed effects model for repeated measures when data are not missing completely at random. Stat Med. 18: 2465 – 2478.en_US
dc.identifier.citedreferenceOrr, L. ( 2003 ) Moving to Opportunity for Fair Housing Demonstration: Interim Impacts Evaluation US Department of Housing and Urban Development, Office of Policy Development and Research Washington, DC.en_US
dc.identifier.citedreferenceBerkman, L. F., Macintyre, S. ( 1997 ) The measurement of social class in health studies: old measures and new formulations. IARC Sci Publ. 51 – 64.en_US
dc.identifier.citedreferenceManson, J. E., Bassuk, SS. ( 2003 ) Obesity in the United States: a fresh look at its high toll. JAMA. 289: 229 – 230.en_US
dc.identifier.citedreferenceFlegal, K. M., Carroll, M. D., Kuczmarski, R. J., Johnson, CL. ( 1998 ) Overweight and obesity in the United States: prevalence and trends, 1960–1994. Int J Obes Relat Metab Disord 22: 39 – 47.en_US
dc.identifier.citedreferenceOgden, C. L., Carroll, M. D., Flegal, KM. ( 2003 ) Epidemiologic trends in overweight and obesity. Endocrinol Metab Clin North Am. 32: 741 – 760vii.en_US
dc.identifier.citedreferenceKuczmarski, R. J., Flegal, K. M., Campbell, S. M., Johnson, CL. ( 1994 ) Increasing prevalence of overweight among US adults: The National Health and Nutrition Examination Surveys, 1960 to 1991. JAMA. 272: 205 – 211.en_US
dc.identifier.citedreferenceMokdad, A. H., Serdula, M. K., Dietz, W. H., Bowman, B. A., Marks, J. S., Koplan, JP. ( 1999 ) The spread of the obesity epidemic in the United States, 1991–1998. JAMA. 282: 1519 – 1522.en_US
dc.identifier.citedreferenceFlegal, K. M., Carroll, M. D., Ogden, C. L., Johnson, CL. ( 2002 ) Prevalence and trends in obesity among US adults, 1999–2000. JAMA. 288: 1723 – 1727.en_US
dc.identifier.citedreferenceMokdad, A. H., Bowman, B. A., Ford, E. S., Vinicor, F., Marks, J. S., Koplan, JP. ( 2001 ) The continuing epidemics of obesity and diabetes in the United States. JAMA. 286: 1195 – 1200.en_US
dc.identifier.citedreferenceZhang, Q., Wang, Y. ( 2004 ) Trends in the association between obesity and socioeconomic status in U.S. adults: 1971 to 2000. Obes Res. 12: 1622 – 1632.en_US
dc.identifier.citedreferenceKaplan, G. A., Keil, JE. ( 1993 ) Socioeconomic factors and cardiovascular disease: a review of the literature. Circulation. 88: 1973 – 1998.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.