open access

Vol 69, No 6 (2018)
Original Paper
Published online: 2018-09-18
Submitted: 2018-01-26
Accepted: 2018-03-27
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Determinants of obesity in population of PURE study from Lower Silesia

Aleksandra Zdrojowy-Wełna, Katarzyna Zatońska, Grażyna Bednarek-Tupikowska, Alicja Jokiel-Rokita, Katarzyna Kolackov, Andrzej Szuba, Marek Bolanowski
DOI: 10.5603/EP.a2018.0061
·
Pubmed: 30229555
·
Endokrynologia Polska 2018;69(6):644-652.

open access

Vol 69, No 6 (2018)
Original Paper
Published online: 2018-09-18
Submitted: 2018-01-26
Accepted: 2018-03-27

Abstract

Introduction: The knowledge about obesity pathogenesis is insufficient. The aim of our study was to investigate environmental and individual determinants of obesity in population of PURE study from Lower Silesia.
Material and methods: This was a cross sectional observation of 1064 inhabitants of Wroclaw and neighbouring rural area (671 women, 393 men), who took part in PURE study in years 2007–2010. Each participant answered PURE questionnaire and International Physical Activity Questionnaire providing information about obesity risk factors. Anthropometric measurements were collected, blood samples were taken for assessment of FTO gene polymorphism. A stepwise logistic regression analysis was performed to identify the most significant predictors of obesity.
Results: 31% of the study group had obesity (BMI over 30 kg/m2, no difference between men and women), overweight (BMI 25–29.9 kg/m2) affected 48.1% of men and 36.7% of women. Determinants of obesity in female group were: rural inhabitancy, chronic medication, unemployment, age, sedentary leisure time activity, non-smoking, hypertension in family, family related stress (p = 0.66 in the Hosmer-Lemeshow test). Determinants of obesity in male group were rural inhabitancy, chronic medication, family related stress, diabetes in family (p = 0.27 in the Hosmer-Lemeshow test). Risk factors for central obesity were similar, however in women oral contraception and physical activity were associated with lower obesity risk.
Conclusions: Environmental factors, especially rural inhabitancy and family related stress were associated with higher obesity risk in our study. Employment, smoking, physical activity and use of oral contraception seemed to have protective role in women.

Abstract

Introduction: The knowledge about obesity pathogenesis is insufficient. The aim of our study was to investigate environmental and individual determinants of obesity in population of PURE study from Lower Silesia.
Material and methods: This was a cross sectional observation of 1064 inhabitants of Wroclaw and neighbouring rural area (671 women, 393 men), who took part in PURE study in years 2007–2010. Each participant answered PURE questionnaire and International Physical Activity Questionnaire providing information about obesity risk factors. Anthropometric measurements were collected, blood samples were taken for assessment of FTO gene polymorphism. A stepwise logistic regression analysis was performed to identify the most significant predictors of obesity.
Results: 31% of the study group had obesity (BMI over 30 kg/m2, no difference between men and women), overweight (BMI 25–29.9 kg/m2) affected 48.1% of men and 36.7% of women. Determinants of obesity in female group were: rural inhabitancy, chronic medication, unemployment, age, sedentary leisure time activity, non-smoking, hypertension in family, family related stress (p = 0.66 in the Hosmer-Lemeshow test). Determinants of obesity in male group were rural inhabitancy, chronic medication, family related stress, diabetes in family (p = 0.27 in the Hosmer-Lemeshow test). Risk factors for central obesity were similar, however in women oral contraception and physical activity were associated with lower obesity risk.
Conclusions: Environmental factors, especially rural inhabitancy and family related stress were associated with higher obesity risk in our study. Employment, smoking, physical activity and use of oral contraception seemed to have protective role in women.

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Keywords

obesity; risk factors; rural; urban; environmental

About this article
Title

Determinants of obesity in population of PURE study from Lower Silesia

Journal

Endokrynologia Polska

Issue

Vol 69, No 6 (2018)

Pages

644-652

Published online

2018-09-18

DOI

10.5603/EP.a2018.0061

Pubmed

30229555

Bibliographic record

Endokrynologia Polska 2018;69(6):644-652.

Keywords

obesity
risk factors
rural
urban
environmental

Authors

Aleksandra Zdrojowy-Wełna
Katarzyna Zatońska
Grażyna Bednarek-Tupikowska
Alicja Jokiel-Rokita
Katarzyna Kolackov
Andrzej Szuba
Marek Bolanowski

References (24)
  1. Roberto CA, Swinburn B, Hawkes C, et al. Patchy progress on obesity prevention: emerging examples, entrenched barriers, and new thinking. Lancet. 2015; 385(9985): 2400–2409.
  2. Lakerveld J, Mackenbach J. The Upstream Determinants of Adult Obesity. Obes Facts. 2017; 10(3): 216–222.
  3. Kinra S, Nelder RP, Lewendon GJ. Deprivation and childhood obesity: a cross sectional study of 20,973 children in Plymouth, United Kingdom. J Epidemiol Community Health. 2000; 54(6): 456–460.
  4. Tremblay A, Lachance É. Tackling obesity at the community level by integrating healthy diet, movement and non-movement behaviours. Obes Rev. 2017; 18 Suppl 1: 82–87.
  5. Ilow R, Regulska-Ilow B, Rozanska D, et al. Występowanie czynników ryzyka chorób sercowo-naczyniowych w grupie 40-i 50-letnich mieszkańców Wroclawia. Med Ogólna Nauki O Zdrowiu. 2012; 4: 435–441.
  6. Teo K, Chow CK, Vaz M, et al. PURE Investigators-Writing Group. The Prospective Urban Rural Epidemiology (PURE) study: examining the impact of societal influences on chronic noncommunicable diseases in low-, middle-, and high-income countries. Am Heart J. 2009; 158(1): 1–7.e1.
  7. Biela U, Pajak A, Kaczmarczyk-Chałas K, et al. [Incidence of overweight and obesity in women and men between the ages of 20-74. Results of the WOBASZ program]. Kardiol Pol. 2005; 63(6 Suppl 4): S632–S635.
  8. Stepaniak U, Micek A, Waśkiewicz A, et al. Prevalence of general and abdominal obesity and overweight among adults in Poland. Results of the WOBASZ II study (2013-2014) and comparison with the WOBASZ study (2003-2005). Pol Arch Med Wewn. 2016; 126(9): 662–671.
  9. Zdrojewski T, Rutkowski M, Bandosz P, et al. Ocena rozpowszechnienia i kontroli czynników ryzyka chorób serca i naczyń w Polsce – badania NATPOL 1997, 2002, 2011. In: Kopeć G., Jankowski P. Pająk A., Drygas W, eds. Epidemiologia i prewencja chorób układu krążenia. Medycyna Praktyczna, Kraków. ; 2015: 57–64.
  10. Befort CA, Nazir N, Perri MG. Prevalence of obesity among adults from rural and urban areas of the United States: findings from NHANES (2005-2008). J Rural Health. 2012; 28(4): 392–397.
  11. Roberts ME, Doogan NJ, Kurti AN, et al. Rural tobacco use across the United States: How rural and urban areas differ, broken down by census regions and divisions. Health Place. 2016; 39: 153–159.
  12. Rhew IC, David Hawkins J, Oesterle S. Drug use and risk among youth in different rural contexts. Health Place. 2011; 17(3): 775–783.
  13. Caldwell JT, Ford CL, Wallace SP, et al. Intersection of Living in a Rural Versus Urban Area and Race/Ethnicity in Explaining Access to Health Care in the United States. Am J Public Health. 2016; 106(8): 1463–1469.
  14. Lawrence E, Hummer RA, Harris KM. The Cardiovascular Health of Young Adults: Disparities along the Urban-Rural Continuum. Ann Am Acad Pol Soc Sci. 2017; 672(1): 257–281.
  15. Cossman JS, James WL, Cosby AG, et al. Underlying causes of the emerging nonmetropolitan mortality penalty. Am J Public Health. 2010; 100(8): 1417–1419.
  16. Jaacks LM, Slining MM, Popkin BM. Recent trends in the prevalence of under- and overweight among adolescent girls in low- and middle-income countries. Pediatr Obes. 2015; 10(6): 428–435.
  17. Zatońska K, Janik-Koncewicz K, Regulska-Ilow B, et al. Prevalence of obesity - baseline assessment in the prospective cohort 'PONS' study. Ann Agric Environ Med. 2011; 18(2): 246–250.
  18. Doryńska A, Polak M, Kozela M, et al. Cardiovascular disease (CVD) risk factors in Kraków and in the whole Poland adult population. Results from the WOBASZ study and Polish arm of the HAPIEE project. Przegl Epidemiol. 2015; 69(1): 79–86, 175.
  19. Hughes A, Kumari M. Unemployment, underweight, and obesity: Findings from Understanding Society (UKHLS). Prev Med. 2017; 97: 19–25.
  20. Kim J, Shon C, Yi S. The Relationship between Obesity and Urban Environment in Seoul. Int J Environ Res Public Health. 2017; 14(8).
  21. Kivimäki M, Head J, Ferrie JE, et al. Work stress, weight gain and weight loss: evidence for bidirectional effects of job strain on body mass index in the Whitehall II study. Int J Obes (Lond). 2006; 30(6): 982–987.
  22. Kubera B, Leonhard C, Rößler A, et al. Stress-Related Changes in Body Form: Results from the Whitehall II Study. Obesity (Silver Spring). 2017; 25(9): 1625–1632.
  23. Dina C, Meyre D, Gallina S, et al. Variation in FTO contributes to childhood obesity and severe adult obesity. Nat Genet. 2007; 39(6): 724–726.
  24. Gallo MF, Lopez LM, Grimes DA, et al. Combination contraceptives: effects on weight. Cochrane Database Syst Rev. 2006(1): CD003987.

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