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Published in: BMC Public Health 1/2015

Open Access 01-12-2015 | Research article

Associations between diet, physical activity and body fat distribution: a cross sectional study in an Indian population

Authors: Liza Bowen, Amy E Taylor, Ruth Sullivan, Shah Ebrahim, Sanjay Kinra, KV Radha Krishna, Bharati Kulkarni, Yoav Ben-Shlomo, Ulf Ekelund, Jonathan CK Wells, Hannah Kuper

Published in: BMC Public Health | Issue 1/2015

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Abstract

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.
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Literature
1.
go back to reference James PT, Leach R, Kalamara E, Shayeghi M. The worldwide obesity epidemic. Obesity. 2001;9(11S):228S–33.CrossRef James PT, Leach R, Kalamara E, Shayeghi M. The worldwide obesity epidemic. Obesity. 2001;9(11S):228S–33.CrossRef
2.
go back to reference International Institute for Population Sciences (IIPS): National Family and Health Survey (NFHS-3) 2005–06: India. Mumbai 2007. International Institute for Population Sciences (IIPS): National Family and Health Survey (NFHS-3) 2005–06: India. Mumbai 2007.
3.
go back to reference International Institute for Population Sciences (IIPS) and Macro International. National Family Health Survey (NFHS-2) 1998–99: India. Mumbai 2000. International Institute for Population Sciences (IIPS) and Macro International. National Family Health Survey (NFHS-2) 1998–99: India. Mumbai 2000.
4.
5.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
6.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
7.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
8.
go back to reference 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.PubMed 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.PubMed
9.
go back to reference 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.PubMed 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.PubMed
10.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
11.
go back to reference 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.PubMed 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.PubMed
12.
go back to reference 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.PubMed 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.PubMed
13.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
14.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
15.
go back to reference 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.PubMed 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.PubMed
16.
go back to reference 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.PubMed 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.PubMed
17.
go back to reference 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.PubMed 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.PubMed
18.
go back to reference 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.PubMed 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.PubMed
19.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
20.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
21.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
22.
23.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
24.
go back to reference 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
25.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
26.
go back to reference 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.CrossRef 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.CrossRef
27.
go back to reference Wells JC. Obesity as malnutrition: the dimensions beyond energy balance. Eur J Clin Nutr. 2013;67(5):507–12.CrossRefPubMed Wells JC. Obesity as malnutrition: the dimensions beyond energy balance. Eur J Clin Nutr. 2013;67(5):507–12.CrossRefPubMed
28.
go back to reference 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
29.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
30.
go back to reference 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
32.
go back to reference 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.PubMed 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.PubMed
33.
34.
go back to reference 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
35.
go back to reference 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.CrossRef 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.CrossRef
36.
go back to reference 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.CrossRef 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.CrossRef
37.
go back to reference 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. 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.
go back to reference Kinra S, Sarma KVR, Ghafoorunissa Mendu VVR, Ravikumar R, Mohan V, Wilkinson IB, et al. 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.CrossRefPubMedPubMedCentral Kinra S, Sarma KVR, Ghafoorunissa Mendu VVR, Ravikumar R, Mohan V, Wilkinson IB, et al. 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.CrossRefPubMedPubMedCentral
39.
go back to reference 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
40.
go back to reference 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.PubMed 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.PubMed
42.
go back to reference Welch AA UI, Buss DH, Paul AA, Southgate DAT. McCance and Widdowson’s The Composition of Foods. Cambridge; 1995 Welch AA UI, Buss DH, Paul AA, Southgate DAT. McCance and Widdowson’s The Composition of Foods. Cambridge; 1995
43.
go back to reference 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
44.
go back to reference 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. 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.
go back to reference FAO/WHO/UNU. Human Energy Requirements. 2005. p. 35–52. FAO/WHO/UNU. Human Energy Requirements. 2005. p. 35–52.
46.
go back to reference Vaz M, Karaolis N, Draper A, Shetty P. A compilation of energy costs of physical activities. Public Health Nutr. 2005;8(7A):1153–83.CrossRefPubMed Vaz M, Karaolis N, Draper A, Shetty P. A compilation of energy costs of physical activities. Public Health Nutr. 2005;8(7A):1153–83.CrossRefPubMed
47.
go back to reference 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.CrossRef 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.CrossRef
48.
go back to reference 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
49.
go back to reference Willett W. Nutritional Epidemiology. In: Kelsey J, Marmot M, Stolley P, Vessey M, editors. Monographs in Epidemiology and Biostatistics. Second ed edition. 1998. Willett W. Nutritional Epidemiology. In: Kelsey J, Marmot M, Stolley P, Vessey M, editors. Monographs in Epidemiology and Biostatistics. Second ed edition. 1998.
50.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
51.
go back to reference 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. 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.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
53.
go back to reference 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
54.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
55.
go back to reference 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.CrossRef 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.CrossRef
56.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
57.
go back to reference 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.CrossRefPubMedPubMedCentral 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.CrossRefPubMedPubMedCentral
58.
go back to reference 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.CrossRef 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.CrossRef
59.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
60.
go back to reference Lee Jr IHCPRS. Exercise intensity and longevity in men: The harvard alumni health study. JAMA J Am Med Assoc. 1995;273(15):1179–84.CrossRef Lee Jr IHCPRS. Exercise intensity and longevity in men: The harvard alumni health study. JAMA J Am Med Assoc. 1995;273(15):1179–84.CrossRef
61.
go back to reference 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.PubMed 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.PubMed
62.
go back to reference Kim Y, Lee S. Physical activity and abdominal obesity in youth. Appl Physiol Nutr Metab. 2009;34(4):571–81.CrossRefPubMed Kim Y, Lee S. Physical activity and abdominal obesity in youth. Appl Physiol Nutr Metab. 2009;34(4):571–81.CrossRefPubMed
63.
go back to reference 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). 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).
Metadata
Title
Associations between diet, physical activity and body fat distribution: a cross sectional study in an Indian population
Authors
Liza Bowen
Amy E Taylor
Ruth Sullivan
Shah Ebrahim
Sanjay Kinra
KV Radha Krishna
Bharati Kulkarni
Yoav Ben-Shlomo
Ulf Ekelund
Jonathan CK Wells
Hannah Kuper
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2015
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-015-1550-7

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