Relationship of Social and Lifestyle Factors with Central Fat Distribution Expressed by the Aggregate Fat Distribution Index
DOI:
https://doi.org/10.2478/anre-2014-0016Keywords:
determinants of abdominal obesity, aggregate fat distribution index, motor fitness, leisure time physical activity, waist circumferenceAbstract
Abdominal obesity is caused by several factors and the explanation of the level of its variability also depends on anthropometric indexes applied for its assessment. The aim was to determine the degree of explanation of the abdominal adiposity variation, presented by the aggregate fat distribution index (AFDI), through the socio-economic status and lifestyle. Subjects and methods: A cross-sectional population-based study was conducted on a sample of 259 healthy working males aged 20–30 from the city of Cracow, Poland. A full model was created using a stepwise backward regression with the social and lifestyle data as independent variables and the AFDI as a dependent variable. The AFDI was created by unitarization applied to selected characteristics of fat distribution which were transformed into [0,1] interval (without measurement unit) and then added and averaged to form a composite index. The highest autonomous influence on AFDI is ascribed to age (b=0.2456 p=0.000), level of motor fitness (b=–0.2392 p=0.000), leisure time physical activity (b=–0.1353 p=0.000) and being born in a rural area (b=0.1300 p=0.000). The variables explain 17% (R2=0.1667) of the variation of the central fat distribution. Variation of the abdominal adiposity was explained with the use of AFDI at the level close to the commonly applied indexes.
Downloads
References
Ashwell M, Cole TJ, Dixon AK. 1985. Obesity: new insight into the anthropometric classification of fat distribution shown by computed tomography. Br Med J 290:1692–94.
View in Google Scholar
Després JP, Prud’homme D, Pouliot MC, Tremblay A, Bouchard C. 1991. Estimation of deep abdominal adipose-tissue accumulation from simple anthropometric measurements in men. Am J Clin Nutr 54:471–77.
View in Google Scholar
Eurofit. Handbook for Eurofit tests of physical fitness. 1993. Council of Europe. Strasbourg.
View in Google Scholar
Gołąb S, Chrzanowska M, Sobiecki J, Żarów R, Woronkowicz A, Brudecki J, 2004. Level of somatic and motor development in healthy men from Cracow. Cracow: AWF, Studia i Monografie 30.
View in Google Scholar
Gacek M, Chrzanowska M, Matusik S. 2004. Wybrane zachowania żywieniowe mężczyzn w wieku 40–50 lat aktywnych zawodowo. In: E Bartnikowska et al., editors. Fizjologiczne uwarunkowania postępowania dietetycznego. Warszawa: Wydawnictwo SGGW. 497–502.
View in Google Scholar
Han TS, McNeill G, Seidell JC, Lean MEJ. 1997a. Predicting intra-abdominal fatness from anthropometric measures: the influence of stature. Int J Obes Relat Metab Disord 21 :587–93.
View in Google Scholar
Han TS, Seidell JC, Currall JEP, Morrison CE, Deurenberg P, Lean MEJ. 1997b. The influences of height and age on waist circumference as an index of adiposity in adults. Int J Obes Relat Metab Disord 21:83–89.
View in Google Scholar
Hartz AJ, Rupley DCjr, Kalkhoff RD, Rimm AA. 1983. Relationship of obesity to diabetes: influence of obesity level and body fat distribution. Prev Med 12:351–57.
View in Google Scholar
Human Experimentation. 1964. Code of Ethics of the World Medical Association. Br Med J 2:177.
View in Google Scholar
Jahan S. 2002. Evolution of the Human Development Index in Readings in Human Development. In: S Fukuda-Parr and AK Shiva-Kumar, editors. Oxford University Press.
View in Google Scholar
Janssen I, Katzmarzyk PT, Ross R. 2002. Body mass index, waist circumference and health risk. Evidence in support of current National Institutes of Health Guidelines. Arch Intern Med 162:2074–79.
View in Google Scholar
Krotkiewski M, Björntop P, Sjöström L, Smith U. 1983. Impact of obesity on metabolism in men and women. J Cin Invest 72:1150–62.
View in Google Scholar
Kukuła K. 2000. Metoda unitaryzacji zerowanej. Warszawa: PWN.
View in Google Scholar
Lahti-Koski M, Pietinen P, Mannisto S, Vartiainen E. 2000. Trends in waist-to-hip ratio and its determinants in adults in Finland from 1987 to 1997. Am J Clin Nutr 6:1436–44.
View in Google Scholar
Lapidus L, Bengtsson C, Larsson B, Pennert K, Rybo E, Sjöström L. 1984. Distribution of adipose tissue and risk of cardiovascular disease and death: a 12 year follow up of participants in the population study of women in Gothenburg, Sweden. BMJ 289:1257–61.
View in Google Scholar
Larsson B, Svardsudd K, Welin L, Wilhelmsen L, Björntorp P, Tibblin G. 1984. Abdominal adipose tissue distribution, obesity and risk of cardiovascular disease and death: 13 year follow up of participants in the study of men born in 1913. BMJ 288:1401–04.
View in Google Scholar
Lean ME, Han TS, Morrison CE. 1995. Waist circumference as a measure for indicating need for weight management. BMJ 311:158–61.
View in Google Scholar
Lean ME, Han TS, Seidell JC. 1998. Impairment of health and quality of life in people with large waist circumference. Lancet 351:853–56.
View in Google Scholar
Lemieux S, Prud`home D, Bouchard C, Tremblay A, Després JP. 1996. A single threshold value of waist girth identifies normal-weight and overweight subjects with excess visceral adipose tissue. Am J Clin Nutr 64:685–93.
View in Google Scholar
Lobstein T, Baur L, Uauy R. 2004. Obesity in children and young people: a crisis in public health. Obes Rev 5(S1):4–85.
View in Google Scholar
Marti B, Tuomilehto J, Salomaa V, Kartovaara K, Korhonen HJ, Pietinen P, 1991. Body fat distribution in the Finnish population: environmental determinants and predictive power for cardiovascular risk factor levels. J Epidemiol Commun Health 45:131–37.
View in Google Scholar
Molarius A, Seidell JC, Sans S, Tuomilehto J, Kuulasmaa K. 1999. Waist and hip circumferences, and waist-hip ratio in 19 populations the WHO MONICA Project. Int. J Obes Relat Metab Disord 23:116–25.
View in Google Scholar
Molarius A, Seidell JC. 1998. Selection of anthropometric indicators for classification of abdominal fatness – a critical review. Int J Obes Relat Metab Disord 22:719–27.
View in Google Scholar
Mueller WH, Meinninger JC, Liehr P, Chan W, Chandler PS. 1996. Conicity: A new index of body fat distribution – what does it tell us? Am J Hum Biol 8:489–96.
View in Google Scholar
Pouliot MC, Després JP, Lemieux S, Moorjani S, Bouchard C, Tremblay A, Nadeau A, Lupien PJ. 1994. Waist circumference and abdominal sagittal diameter: best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women. Am J Cardiol 73:460–68.
View in Google Scholar
Ramos de Marins VM, Varnier Almeida RMR, Pereira RA, Barros MBA. 2001. Factors associated with overweight and central body fat in the city of Rio de Janeiro: results of a two stage random sampling survey. Public Health 115:236–42.
View in Google Scholar
Rankinen T, Kim SY, Pérusse L, Després JP, Bouchard C. 1999. The prediction of abdominal visceral fat level from body composition and anthropometry: ROC analysis. Int J Obes Relat Metab Disord 23:801–09.
View in Google Scholar
Seidell JC, Björntorp P, Sjöström L, Sannerstedt R, Krotkiewski M, Kvist H. 1989. Regional distribution of muscle and fat mass in men – new insight into the risk of abdominal obesity using computed tomography. Int J Obes Relat Metab Disord 13:289–03.
View in Google Scholar
Seidell JC, Oosterlee A, Deurenberg P, Hautvast JG, Ruijs JH. 1988. Abdominal fat depots measured with computed tomography: effects of degree of obesity, sex and age. Eur J Clin Nutr 42:805–15.
View in Google Scholar
Seidell JC, Oosterlee A, Thijssen MA, Burema J, Deurenberg P, Hautvast JG, Ruij JH. 1987. Assessment of intra-abdominal and subcutaneous abdominal fat: Relation between anthropometry and computed tomography. Am J Clin Nutr 45:7–13.
View in Google Scholar
Snijder MB, Dekker JD, Visser M, Bouter LM, Stehouwer CDA, Kostense PJ, Yudkin JS, Heine RJ, Nijpels G, Seidell JC. 2003. Associations of hip and thigh circumferences independent of waist circumference with the incidence of type 2 diabetes: the Hoorn Study. Am J Clin Nutr 77:1192–97.
View in Google Scholar
Suder A. 2008. Socioeconomic and lifestyle determinants of body fat distribution in young working males from Cracow, Poland. Am J Hum Biol 20:100–09.
View in Google Scholar
Suder A. 2009. Body fatness and its social and lifestyle determinants in young working males from Cracow, Poland. J Biosoc Sci 41:139–54.
View in Google Scholar
Valdez R, Seidell JC, Ahn YI, Weiss KM. 1993. A new index of abdominal adiposity as an indicator of risk for cardiovascular disease. A cross-population study. Int J Obes Relat Metab Disord 17:77–82.
View in Google Scholar
Wright S. 1960. Path coefficients and path regression: Alternative or complementary concepts. Biometrics 16:189–202.
View in Google Scholar
Weiner JS Lourie JA. 1969. Human Biology, A Guide to Field Methods. IBP Handbook No. 9. Oxford: Blackwell.
View in Google Scholar
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.