Literature DB >> 1983903

Diet, body size, and plasma lipids-lipoproteins in young adults: differences by race and sex. The Coronary Artery Risk Development in Young Adults (CARDIA) study.

L V Van Horn1, C Ballew, K Liu, K Ruth, A McDonald, J E Hilner, G L Burke, P J Savage, C Bragg, B Caan.   

Abstract

The Coronary Artery Risk Development in Young Adults (CARDIA) study completed baseline dietary assessment, measurement of body mass index, and lipid and lipoprotein analyses on 5,111 participants. CARDIA includes black and white men and women between 18 and 30 years of age at baseline (1985-1986), recruited in Birmingham, Alabama, Chicago, Illinois, Minneapolis, Minnesota, and Oakland, California. Diet was assessed by a detailed interviewer-administered diet history that measured the usual eating pattern over the past month. Possible sex, race, age, and educational differences in diet, body size, and lipids-lipoproteins were explored. Nutrient analyses indicate that the Keys score, a measure of dietary fat composition, is significantly correlated with plasma cholesterol in older (aged 25-30 years) white men (r = 0.12, p less than 0.01) and older white women (r = 0.12, p less than 0.001). In multiple linear regression analyses, body mass index was positively and significantly associated with total cholesterol and low density lipoprotein cholesterol and inversely associated with high density lipoprotein cholesterol across all race-sex groups. The Keys score was significantly associated with total cholesterol and low density lipoprotein cholesterol in white men and women. Education was associated with high density lipoprotein cholesterol in black and white women and white men. In these young adults, dietary fat intake and body mass index were related to blood lipids in certain subgroups. In black and white men and black women, blood cholesterol increased with age across race-sex groups independently of these covariates. In view of the many factors affecting plasma cholesterol and the limitations of the dietary history method, these cross-sectional data are useful in characterizing diet and lipid differences. There appears to be general disparity between recommended dietary intake of total fat, saturated fat, and other nutrients and actual dietary intake in young adults, regardless of age and educational level.

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Year:  1991        PMID: 1983903     DOI: 10.1093/oxfordjournals.aje.a115807

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


  10 in total

1.  Relation between the longitudinal development of lipoprotein levels and biological parameters during adolescence and young adulthood in Amsterdam, The Netherlands.

Authors:  J W Twisk; H C Kemper; G J Mellenbergh; W van Mechelen
Journal:  J Epidemiol Community Health       Date:  1996-10       Impact factor: 3.710

2.  Correlates of high-density lipoprotein cholesterol in black and white women.

Authors:  G W Heath; C A Macera; J B Croft; M L Mace; T Gillette; F C Wheeler
Journal:  Am J Public Health       Date:  1994-01       Impact factor: 9.308

3.  Neighbourhood differences in diet: the Atherosclerosis Risk in Communities (ARIC) Study.

Authors:  A V Diez-Roux; F J Nieto; L Caulfield; H A Tyroler; R L Watson; M Szklo
Journal:  J Epidemiol Community Health       Date:  1999-01       Impact factor: 3.710

4.  Caloric sweetener consumption and dyslipidemia among US adults.

Authors:  Jean A Welsh; Andrea Sharma; Jerome L Abramson; Viola Vaccarino; Cathleen Gillespie; Miriam B Vos
Journal:  JAMA       Date:  2010-04-21       Impact factor: 56.272

5.  Chlamydia pneumoniae antibodies are associated with an atherogenic lipid profile.

Authors:  L J Murray; D P O'Reilly; G M Ong; C O'Neill; A E Evans; K B Bamford
Journal:  Heart       Date:  1999-03       Impact factor: 5.994

6.  American Heart Association Cardiovascular Genome-Phenome Study: foundational basis and program.

Authors:  Ivor Benjamin; Nancy Brown; Gregory Burke; Adolfo Correa; Steven R Houser; Daniel W Jones; Joseph Loscalzo; Ramachandran S Vasan; Gayle R Whitman
Journal:  Circulation       Date:  2014-11-19       Impact factor: 29.690

7.  Gender-specific interactions between education and income in relation to obesity: a cross-sectional analysis of the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V).

Authors:  Woojin Chung; Seung-Ji Lim; Sunmi Lee; Roeul Kim; Jaeyeun Kim
Journal:  BMJ Open       Date:  2017-12-28       Impact factor: 2.692

8.  A Reversal of the Association between Education Level and Obesity Risk during Ageing: A Gender-Specific Longitudinal Study in South Korea.

Authors:  Woojin Chung; Roeul Kim
Journal:  Int J Environ Res Public Health       Date:  2020-09-16       Impact factor: 3.390

Review 9.  Ethnic differences in the relationship between insulin sensitivity and insulin response: a systematic review and meta-analysis.

Authors:  Keiichi Kodama; Damon Tojjar; Satoru Yamada; Kyoko Toda; Chirag J Patel; Atul J Butte
Journal:  Diabetes Care       Date:  2013-06       Impact factor: 19.112

Review 10.  The influence of sex on pharmacokinetics.

Authors:  Janice B Schwartz
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 5.577

  10 in total

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