Literature DB >> 11126349

Weight gain and its correlates in Poland between 1983 and 1993.

B H Dennis1, A Pajak, B Pardo, C E Davis, O D Williams, W Piotrowski.   

Abstract

BACKGROUND: Weight gain and its unfavorable consequences on coronary heart disease (CHD) risk have been observed worldwide. Determinants of weight gain were studied in a Polish cohort of 1042 men and women age 35-64 at baseline. Participants were randomly selected from an urban population in Warsaw and a rural population in Tarnobrzeg Province surveyed by investigators in Krakow. The surveys, part of the Pol-MONICA project, were conducted in 1983-1984, 1987-1988, and 1992-1993. The purpose of this report is to gain insight into the dynamics of weight gain in this population that could be helpful in identifying high-risk groups for intervention, and to determine if economic changes that took place shortly after the second survey had any impact on weight gain.
METHODS: Weight, height and demographic characteristics were measured at each visit according to Pol-MONICA standard protocol. Body mass index (BMI) was calculated as kg/m2. Years of schooling, 7-day alcohol history and smoking history were self-reported.
RESULTS: Sixty percent of the cohort gained some weight, averaging 0.3-0.7kg/y. Weight gain was highest in younger rural women, in urban men and in rural women with low education. In multiple linear regression, low education was related to a 1.29 kg greater weight gain (P<0.01), ex-smoking status was related to a 2.54 kg greater weight gain (P<0.001), and younger age was related to a 1.14 kg greater weight gain (P<0.001).
CONCLUSION: Our results indicate a need to target intervention programs at young low SES adults. Developing effective means of reaching these vulnerable groups is a critical research goal.

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Year:  2000        PMID: 11126349     DOI: 10.1038/sj.ijo.0801435

Source DB:  PubMed          Journal:  Int J Obes Relat Metab Disord


  6 in total

1.  Food prices and overweight patterns in Italy.

Authors:  L Pieroni; D Lanari; L Salmasi
Journal:  Eur J Health Econ       Date:  2011-09-21

2.  Do socioeconomic factors shape weight and obesity trajectories over the transition from midlife to old age? Results from the French GAZEL cohort study.

Authors:  Aline Dugravot; Séverine Sabia; Silvia Stringhini; Mika Kivimaki; Hugo Westerlund; Jussi Vahtera; Alice Guéguen; Marie Zins; Marcel Goldberg; Hermann Nabi; Archana Singh-Manoux
Journal:  Am J Clin Nutr       Date:  2010-05-19       Impact factor: 7.045

3.  Young woman smokers gain significantly more weight over 2-year follow-up than non-smokers. How Virginia doesn't slim.

Authors:  Eric Stice; C Nathan Marti; Paul Rohde; Heather Shaw
Journal:  Appetite       Date:  2014-11-26       Impact factor: 3.868

4.  Country of birth and body mass index: a national study of 2,000 immigrants in Sweden.

Authors:  Per Erik Wändell; Sari Ponzer; Sven-Erik Johansson; Kristina Sundquist; Jan Sundquist
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

5.  Exploring Diet Quality between Urban and Rural Dwelling Women of Reproductive Age.

Authors:  Julie C Martin; Lisa J Moran; Helena J Teede; Sanjeeva Ranasinha; Catherine B Lombard; Cheryce L Harrison
Journal:  Nutrients       Date:  2017-06-08       Impact factor: 5.717

Review 6.  Obesity prevalence from a European perspective: a systematic review.

Authors:  Anne Berghöfer; Tobias Pischon; Thomas Reinhold; Caroline M Apovian; Arya M Sharma; Stefan N Willich
Journal:  BMC Public Health       Date:  2008-06-05       Impact factor: 3.295

  6 in total

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