期刊论文详细信息
BMC Public Health
Associations between diet, physical activity and body fat distribution: a cross sectional study in an Indian population
Hannah Kuper3  Jonathan CK Wells1  Ulf Ekelund7  Yoav Ben-Shlomo2  Bharati Kulkarni4  KV Radha Krishna4  Sanjay Kinra6  Shah Ebrahim6  Ruth Sullivan6  Amy E Taylor8  Liza Bowen5 
[1]Childhood Nutrition Research Centre, UCL Institute of Child Health, London, UK
[2]School of Social and Community Medicine, University of Bristol, Bristol, UK
[3]Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK
[4]Clinical Division, National Institute of Nutrition, Hyderabad, India
[5]St George’s University, London, UK
[6]Department of Non Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
[7]Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
[8]School of Experimental Psychology, University of Bristol, Bristol, UK
关键词: India;    Physical activity;    Diet;    Body fat;    Obesity;   
Others  :  1170975
DOI  :  10.1186/s12889-015-1550-7
 received in 2014-09-17, accepted in 2015-02-16,  发布年份 2015
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【 摘 要 】

Background

Obesity is a growing health problem in India and worldwide, due to changes in lifestyle. This study aimed to explore the independent associations between dietary and physical activity exposure variables and total body fat and distribution in an Indian setting.

Methods

Individuals who had participated in the Indian Migration Study (IMS) or the Andhra Pradesh Children And Parents' Study (APCAPS), were invited to participate in the Hyderabad DXA Study. Total and abdominal body fat of study participants was measured using DXA scans. Diet and physical activity (PA) levels were measured using questionnaires.

Results

Data on 2208 participants was available for analysis; mean age was 49 yrs in IMS, 21 yrs in APCAPS. Total energy intake was positively associated with total body fat in the APCAPS sample: a 100 kcal higher energy intake was associated with 45 g higher body fat (95% CI 22, 68). In the IMS sample no association was found with total energy intake, but there was a positive association with percent protein intake (1% higher proportion of energy from protein associated with 509 g (95% CI 138,880) higher total body fat). Broadly the same pattern of associations was found with proportion of fat in the abdominal region as the outcome. PA was inversely associated with total body fat in both populations (in APCAPS, one MET-hour higher activity was associated with 46 g (95% CI 12, 81) less body fat; in the IMS it was associated with 145 g less body fat (95% CI 73, 218)). An inverse association was observed between PA and percentage abdominal fat in the IMS but no association was seen in the APCAPS population.

Conclusions

In this Indian population, there was an inverse association between PA and body fat. Associations between body fat and dietary variables differed between the younger APCAPS population and older IMS population. Further longitudinal research is needed to elucidate causality and directions of these associations across the life course.

【 授权许可】

   
2015 Bowen et al.; licensee BioMed Central.

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【 参考文献 】
  • [1]James PT, Leach R, Kalamara E, Shayeghi M: The worldwide obesity epidemic. Obesity 2001, 9(11S):228S-33.
  • [2]International Institute for Population Sciences (IIPS): National Family and Health Survey (NFHS-3) 2005–06: India. Mumbai 2007.
  • [3]International Institute for Population Sciences (IIPS) and Macro International. National Family Health Survey (NFHS-2) 1998–99: India. Mumbai 2000.
  • [4]Kopelman P: Health risks associated with overweight and obesity. Obes Rev 2007, 8(s1):13-7.
  • [5]Canoy D, Boekholdt SM, Wareham N, Luben R, Welch A, Bingham S, et al.: Body fat distribution and risk of coronary heart disease in men and women in the European prospective investigation into cancer and nutrition in norfolk cohort: a population-based prospective study. Circulation 2007, 116(25):2933-43.
  • [6]Emery EM, Schmid TL, Kahn HS, Filozof PP: A review of the association between abdominal fat distribution, health outcome measures, and modifiable risk factors. Am J Health Promot 1993, 7(5):342-53.
  • [7]Fujioka S, Matsuzawa Y, Tokunaga K, Tarui S: Contribution of intra-abdominal fat accumulation to the impairment of glucose and lipid metabolism in human obesity. Metabolism 1987, 36(1):54-9.
  • [8]Janssen I, Katzmarzyk PT, Ross R: Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 2004, 79(3):379-84.
  • [9]Williams MJ, Hunter GR, Kekes-Szabo T, Trueth MS, Snyder S, Berland L, et al.: Intra-abdominal adipose tissue cut-points related to elevated cardiovascular risk in women. Int J Obes Relat Metab Disord 1996, 20(7):613-7.
  • [10]Yusuf S, Hawken S, Ounpuu S, Bautista L, Franzosi MG, Commerford P, et al.: Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case–control study. Lancet 2005, 366(9497):1640-9.
  • [11]Banerji MA, Faridi N, Atluri R, Chaiken RL, Lebovitz HE: Body composition, visceral fat, leptin, and insulin resistance in Asian Indian men. J Clin Endocrinol Metab 1999, 84(1):137-44.
  • [12]Chandalia M, Abate N, Garg A, Stray-Gundersen J, Grundy SM: Relationship between generalized and upper body obesity to insulin resistance in Asian Indian men. J Clin Endocrinol Metab 1999, 84(7):2329-35.
  • [13]Raji A, Gerhard-Herman MD, Warren M, Silverman SG, Raptopoulos V, Mantzoros CS, et al.: Insulin resistance and vascular dysfunction in nondiabetic Asian Indians. J Clin Endocrinol Metab 2004, 89(8):3965-72.
  • [14]Raji A, Seely EW, Arky RA, Simonson DC: Body fat distribution and insulin resistance in healthy Asian Indians and Caucasians. J Clin Endocrinol Metab 2001, 86(11):5366-71.
  • [15]Miller W, Lindeman A, Wallace J, Niederpruem M: Diet composition, energy intake, and exercise in relation to body fat in men and women. Am J Clin Nutr 1990, 52(3):426-30.
  • [16]Atlantis E, Martin SA, Haren MT, Taylor AW, Wittert GA: for the Florey Adelaide Male Aging Study: Lifestyle factors associated with age-related differences in body composition: the Florey Adelaide Male Aging Study. Am J Clin Nutr 2008, 88(1):95-104.
  • [17]Larson D, Hunter G, Williams M, Kekes-Szabo T, Nyikos I, Goran M: Dietary fat in relation to body fat and intraabdominal adipose tissue: a cross-sectional analysis. Am J Clin Nutr 1996, 64(5):677-84.
  • [18]Tucker L, Kano M: Dietary fat and body fat: a multivariate study of 205 adult females. Am J Clin Nutr 1992, 56(4):616-22.
  • [19]Koppes LL, Boon N, Nooyens AC, van Mechelen W, Saris WH: Macronutrient distribution over a period of 23 years in relation to energy intake and body fatness. Br J Nutr 2009, 101(1):108-15.
  • [20]Soenen S, Westerterp Plantenga MS: Changes in body fat percentage during body weight stable conditions of increased daily protein intake vs. control. Physiol Behav 2010, 101(5):635-8.
  • [21]Vinknes KJ, de Vogel S, Elshorbagy AK, Nurk E, Drevon CA, Gjesdal CG, et al.: Dietary intake of protein is positively associated with percent body fat in middle-aged and older adults. J Nutr 2011, 141(3):440-6.
  • [22]FAOSTAT. Core consumption data. FAO; 2006
  • [23]Yadav K, Krishnan A: Changing patterns of diet, physical activity and obesity among urban, rural and slum populations in north India. Obes Rev 2008, 9(5):400-8.
  • [24]Anjana RM, Pradeepa R, Das AK, Deepa M, Bhansali A, Joshi SR, et al.: Physical activity and inactivity patterns in India - results from the ICMR-INDIAB study (Phase-1) [ICMR-INDIAB-5]. Int J Behav Nutr Phys Act 2014, 11(1):26.
  • [25]Wareham NJ, van Sluijs EMF, Ekelund U: Physical activity and obesity prevention: a review of the current evidence. Proc Nutr Soc 2005, 64(02):229-47.
  • [26]Slentz CA, Houmard JA, Kraus WE: Exercise, abdominal obesity, skeletal muscle, and metabolic risk: evidence for a dose response. Obesity (Silver Spring) 2009, 17(Suppl 3):S27-33.
  • [27]Wells JC: Obesity as malnutrition: the dimensions beyond energy balance. Eur J Clin Nutr 2013, 67(5):507-12.
  • [28]Deere K, Sayers A, Davey Smith G, Rittweger J, Tobias JH: High impact activity is related to lean but not fat mass: findings from a population-based study in adolescents. Int J Epidemiol 2012, 41(4):1124-31.
  • [29]Ekelund U, Besson H, Luan JA, May AM, Sharp SJ, Brage S, et al.: Physical activity and gain in abdominal adiposity and body weight: prospective cohort study in 288,498 men and women. Am J Clin Nutr 2011, 93(4):826-35.
  • [30]Chang PC, Li TC, Wu MT, Liu CS, Li CI, Chen CC, et al.: Association between television viewing and the risk of metabolic syndrome in a community-based population. Bmc Public Health 2008, 8:193.
  • [31]Tucker LA, Bagwell M: Television viewing and obesity in adult females. Am J Public Health 1991, 81(7):908-11.
  • [32]Cleland VJ, Schmidt MD, Dwyer T, Venn AJ: Television viewing and abdominal obesity in young adults: is the association mediated by food and beverage consumption during viewing time or reduced leisure-time physical activity? Am J Clin Nutr 2008, 87(5):1148-55.
  • [33]Hu F: Sedentary lifestyle and risk of obesity and type 2 diabetes. Lipids 2003, 38(2):103-8.
  • [34]Inoue S, Sugiyama T, Takamiya T, Oka K, Owen N, Shimomitsu T: Television viewing time is associated with overweight/obesity among older adults, independent of meeting physical activity and health guidelines. J Epidemiol 2012, 22(1):50-6.
  • [35]Dunton GF, Berrigan D, Ballard-Barbash R, Graubard B, Atienza AA: Joint associations of physical activity and sedentary behaviors with body mass index: results from a time use survey of US adults. Int J Obesity 2009, 33(12):1427-36.
  • [36]Lyngdoh T, Kinra S, Shlomo Y, Reddy S, Prabhakaran D, Smith G, et al.: Sib-recruitment for studying migration and its impact on obesity and diabetes. Emerging Themes Epidemiol 2006, 3(1):2.
  • [37]Kinra S, Radha Krishna K, Kuper H, Rameshwar Sarma K, Prabhakaran P, Gupta V, et al. Cohort Profile: Andhra Pradesh Children and Parents Study (APCAPS). Int J Epidemiol. 2013.
  • [38]Kinra S, Sarma KVR, Ghafoorunissa Mendu VVR, Ravikumar R, Mohan V, Wilkinson IB, Cockcroft JR, Smith GD, Ben-Shlomo Y: Effect of integration of supplemental nutrition with public health programmes in pregnancy and early childhood on cardiovascular risk in rural Indian adolescents: long term follow-up of Hyderabad nutrition trial. BMJ 2008, 337:a605.
  • [39]Ebrahim S, Kinra S, Bowen L, Andersen E, Ben-Shlomo Y, Lyngdoh T, et al.: The effect of rural-to-urban migration on obesity and diabetes in india: a cross-sectional study. PLoS Med 2010, 7(4):e1000268.
  • [40]Bowen L, Bharathi AV, Kinra S, Destavola B, Ness A, Ebrahim S: Development and evaluation of a semi-quantitative food frequency questionnaire for use in urban and rural India. Asia Pac J Clin Nutr 2012, 21(3):355-60.
  • [41]United States Department of Agriculture. Nutrient data laboratory. (http://www.ars.usda.gov/nutrientdata)
  • [42]Welch AA UI, Buss DH, Paul AA, Southgate DAT. McCance and Widdowson’s The Composition of Foods. Cambridge; 1995
  • [43]Sullivan R, Kinra S, Ekelund U, Bharathi AV, Vaz M, Kurpad A, et al.: Evaluation of the Indian migration study physical activity questionnaire (IMS-PAQ): a cross-sectional study. Int J Behav Nutr Phys Act 2012, 9:13.
  • [44]Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Greer JL, Vezina J, et al. Compendium of Physical Activities: the second update of activity codes and MET intensities to classify the energy cost of human physical activities. 2011 32(9):S498-516.
  • [45]FAO/WHO/UNU: Human Energy Requirements. 2005.
  • [46]Vaz M, Karaolis N, Draper A, Shetty P: A compilation of energy costs of physical activities. Public Health Nutr 2005, 8(7A):1153-83.
  • [47]Pate RR, Pratt M, Blair SN, Haskell WL, Macera CA, Bouchard C, et al.: Physical activity and public health. JAMA J Am Med Assoc 1995, 273(5):402-7.
  • [48]Taylor AE, Kuper H, Varma RD, Wells JC, Bell JDV, Radhakrishna K, et al.: Validation of dual energy X-Ray absorptiometry measures of abdominal Fat by comparison with magnetic resonance imaging in an indian population. PLoS One 2012, 7(12):e51042.
  • [49]Willett W: Nutritional Epidemiology. In Monographs in Epidemiology and Biostatistics. Second ed edition Edited by Kelsey J, Marmot M, Stolley P, Vessey M. 1998.
  • [50]Boneva-Asiova Z, Boyanov M: Age-related changes of body composition and abdominal adipose tissue assessed by bio-electrical impedance analysis and computed tomography. Endocrinol Nutr 2011, 58(9):472-7.
  • [51]Enzi G, Gasparo M, Biondetti PR, Fiore D, Semisa M, Zurlo F: Subcutaneous and visceral fat distribution according to sex, age, and overweight, evaluated by computed tomography. Ame J Clin Nutr 1986, 44(6):739-46.
  • [52]Pascot A, Lemieux S, Lemieux I, Prud'homme D, Tremblay A, Bouchard C, et al.: Age-related increase in visceral adipose tissue and body fat and the metabolic risk profile of premenopausal women. Diabetes Care 1999, 22(9):1471-8.
  • [53]Ness AR, Leary SD, Mattocks C, Blair SN, Reilly JJ, Wells J, et al.: Objectively measured physical activity and Fat mass in a large cohort of children. PLoS Med 2007, 4(3):e97.
  • [54]Bradlee ML, Singer MR, Qureshi MM, Moore LL: Food group intake and central obesity among children and adolescents in the third national health and nutrition examination survey (NHANES III). Public Health Nutr 2010, 13(6):797-805.
  • [55]Kazlauskaite R, Karavolos K, Janssen I, Carlson K, Shipp KJ, Dugan SA, et al.: The association between self-reported energy intake and intra-abdominal adipose tissue in perimenopausal women. J Obes 2012, 2012:8.
  • [56]Nelson LH, Tucker LA: Diet composition related to body Fat in a multivariate study of 203 Men. J Am Diet Assoc 1996, 96(8):771-7.
  • [57]Al-Hazzaa HM, Abahussain NA, Al-Sobayel HI, Qahwaji DM, Musaiger AO: Lifestyle factors associated with overweight and obesity among Saudi adolescents. BMC Public Health 2012, 12:354.
  • [58]Moliner-Urdiales D, Ruiz JR, Ortega FB, Rey-Lopez JP, Vicente-Rodriguez G, Espana-Romero V, et al.: Association of objectively assessed physical activity with total and central body fat in Spanish adolescents; the HELENA Study. Int J Obes (Lond) 2009, 33(10):1126-35.
  • [59]Janssen I, Katzmarzyk PT, Boyce WF, Vereecken C, Mulvihill C, Roberts C, et al.: Comparison of overweight and obesity prevalence in school-aged youth from 34 countries and their relationships with physical activity and dietary patterns. Obes Rev 2005, 6(2):123-32.
  • [60]Lee IHCPRS Jr: Exercise intensity and longevity in men: The harvard alumni health study. JAMA J Am Med Assoc 1995, 273(15):1179-84.
  • [61]Ekelund U, Brage S, Besson H, Sharp S, Wareham NJ: Time spent being sedentary and weight gain in healthy adults: reverse or bidirectional causality? Am J Clin Nutr 2008, 88(3):612-7.
  • [62]Kim Y, Lee S: Physical activity and abdominal obesity in youth. Appl Physiol Nutr Metab 2009, 34(4):571-81.
  • [63]Zanovec M, Lakkakula A, Johnson LG, Tuuri G. Physical Activity is Associated with Percent Body Fat and Body Composition but not BMI in White and Black College Students. Int J Exerc Sci. 2009, 2(3).
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