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Published in: Annals of Behavioral Medicine 3/2008

01-12-2008 | Original Article

Obesogenic Clusters: Multidimensional Adolescent Obesity-related Behaviors in the U.S.

Authors: Janne Boone-Heinonen, M.P.H., Penny Gordon-Larsen, Ph.D., Linda S. Adair, Ph.D.

Published in: Annals of Behavioral Medicine | Issue 3/2008

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Abstract

Background

Diet, physical activity, and psychosocial factors are independent and potentially interactive obesity determinants, but few studies have explored complex behavior patterns.

Purpose

The purpose of this study is to examine obesity-related behavior patterning and identify high-risk adolescent groups.

Methods

Cluster analysis identified groups with shared behavior patterns in the National Longitudinal Study of Adolescent Health (1995 and 1996, ages 11–21; N = 9,251). Descriptive and multivariate regression analyses compared sociodemographics and prevalent and incident obesity across clusters.

Results

Seven and six clusters in males and females, respectively, represented behavior patterns such as School Clubs & Sports, Sedentary Behaviors, Dieters, and Junk Food & Low Activity. Sociodemographics varied across clusters. Compared to School Clubs & Sports clusters, adjusted odds of prevalent and incident obesity were higher for most clusters in females but not males.

Conclusions

Cluster analysis identified several obesogenic behavior patterns, highlighting areas for future research and potential avenues for interventions that target broad lifestyle factors.
Appendix
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Literature
1.
go back to reference Ogden CL, Carroll MD, Curtin LR, et al. Prevalence of overweight and obesity in the United States, 1999–2004. JAMA. 2006; 295: 1549–1555.PubMedCrossRef Ogden CL, Carroll MD, Curtin LR, et al. Prevalence of overweight and obesity in the United States, 1999–2004. JAMA. 2006; 295: 1549–1555.PubMedCrossRef
2.
go back to reference Wang Y, Monteiro C, Popkin BM. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China, and Russia. Am J Clin Nutr. 2002; 75: 971–977.PubMed Wang Y, Monteiro C, Popkin BM. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China, and Russia. Am J Clin Nutr. 2002; 75: 971–977.PubMed
3.
go back to reference Popkin BM, Gordon-Larsen P. The nutrition transition: worldwide obesity dynamics and their determinants. Int J Obes Relat Metab Disord. 2004; 28(Suppl 3): S2–S9.PubMedCrossRef Popkin BM, Gordon-Larsen P. The nutrition transition: worldwide obesity dynamics and their determinants. Int J Obes Relat Metab Disord. 2004; 28(Suppl 3): S2–S9.PubMedCrossRef
4.
go back to reference Hancox RJ, Milne BJ, Poulton R. Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet. 2004; 364: 257–262.PubMedCrossRef Hancox RJ, Milne BJ, Poulton R. Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet. 2004; 364: 257–262.PubMedCrossRef
5.
go back to reference Must A, Tybor DJ. Physical activity and sedentary behavior: a review of longitudinal studies of weight and adiposity in youth. Int J Obes (Lond). 2005; 29(Suppl 2): S84–S96.CrossRef Must A, Tybor DJ. Physical activity and sedentary behavior: a review of longitudinal studies of weight and adiposity in youth. Int J Obes (Lond). 2005; 29(Suppl 2): S84–S96.CrossRef
6.
go back to reference Ludwig DS, Peterson KE, Gortmaker SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet. 2001; 357: 505–508.PubMedCrossRef Ludwig DS, Peterson KE, Gortmaker SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet. 2001; 357: 505–508.PubMedCrossRef
7.
go back to reference Berkey CS, Rockett HR, Field AE, Gillman MW, Colditz GA. Sugar-added beverages and adolescent weight change. Obes Res. 2004; 12: 778–788.PubMedCrossRef Berkey CS, Rockett HR, Field AE, Gillman MW, Colditz GA. Sugar-added beverages and adolescent weight change. Obes Res. 2004; 12: 778–788.PubMedCrossRef
8.
go back to reference Giammattei J, Blix G, Marshak HH, Wollitzer AO, Pettitt DJ. Television watching and soft drink consumption: associations with obesity in 11- to 13-year-old schoolchildren. Arch Pediatr Adolesc Med. 2003; 157: 882–886.PubMedCrossRef Giammattei J, Blix G, Marshak HH, Wollitzer AO, Pettitt DJ. Television watching and soft drink consumption: associations with obesity in 11- to 13-year-old schoolchildren. Arch Pediatr Adolesc Med. 2003; 157: 882–886.PubMedCrossRef
9.
go back to reference Popkin BM, Udry JR. Adolescent obesity increases significantly in second and third generation U.S. immigrants: the National Longitudinal Study of Adolescent Health. J Nutr. 1998; 128: 701–706.PubMed Popkin BM, Udry JR. Adolescent obesity increases significantly in second and third generation U.S. immigrants: the National Longitudinal Study of Adolescent Health. J Nutr. 1998; 128: 701–706.PubMed
10.
go back to reference Kimm SY, Glynn NW, Obarzanek E, et al. Relation between the changes in physical activity and body-mass index during adolescence: a multicentre longitudinal study. Lancet. 2005; 366: 301–307.PubMedCrossRef Kimm SY, Glynn NW, Obarzanek E, et al. Relation between the changes in physical activity and body-mass index during adolescence: a multicentre longitudinal study. Lancet. 2005; 366: 301–307.PubMedCrossRef
11.
go back to reference Janssen I, Katzmarzyk PT, Boyce WF, 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: 123–132.PubMedCrossRef Janssen I, Katzmarzyk PT, Boyce WF, 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: 123–132.PubMedCrossRef
12.
go back to reference Gordon-Larsen P, Adair LS, Popkin BM. Ethnic differences in physical activity and inactivity patterns and overweight status. Obes Res. 2002; 10: 141–149.PubMedCrossRef Gordon-Larsen P, Adair LS, Popkin BM. Ethnic differences in physical activity and inactivity patterns and overweight status. Obes Res. 2002; 10: 141–149.PubMedCrossRef
13.
go back to reference Barton BA, Eldridge AL, Thompson D, et al. The relationship of breakfast and cereal consumption to nutrient intake and body mass index: The National Heart, Lung, and Blood Institute Growth and Health Study. J Am Diet Assoc. 2005; 105: 1383–1389.PubMedCrossRef Barton BA, Eldridge AL, Thompson D, et al. The relationship of breakfast and cereal consumption to nutrient intake and body mass index: The National Heart, Lung, and Blood Institute Growth and Health Study. J Am Diet Assoc. 2005; 105: 1383–1389.PubMedCrossRef
14.
go back to reference Dietz WH, Gortmaker SL. Preventing obesity in children and adolescents. Annu Rev Public Health. 2001; 22: 337–353.PubMedCrossRef Dietz WH, Gortmaker SL. Preventing obesity in children and adolescents. Annu Rev Public Health. 2001; 22: 337–353.PubMedCrossRef
15.
go back to reference Loktionov A. Common gene polymorphisms and nutrition: emerging links with pathogenesis of multifactorial chronic diseases (review). J Nutr Biochem. 2003; 14: 426–451.PubMedCrossRef Loktionov A. Common gene polymorphisms and nutrition: emerging links with pathogenesis of multifactorial chronic diseases (review). J Nutr Biochem. 2003; 14: 426–451.PubMedCrossRef
16.
go back to reference Epstein LH, Roemmich JN, Paluch RA, Raynor HA. Influence of changes in sedentary behavior on energy and macronutrient intake in youth. Am J Clin Nutr. 2005; 81: 361–366.PubMed Epstein LH, Roemmich JN, Paluch RA, Raynor HA. Influence of changes in sedentary behavior on energy and macronutrient intake in youth. Am J Clin Nutr. 2005; 81: 361–366.PubMed
17.
go back to reference Nelson MC, Gordon-Larsen P, Adair LS, Popkin BM. Adolescent physical activity and sedentary behavior patterning and long-term maintenance. Am J Prev Med. 2005; 28: 259–266.PubMedCrossRef Nelson MC, Gordon-Larsen P, Adair LS, Popkin BM. Adolescent physical activity and sedentary behavior patterning and long-term maintenance. Am J Prev Med. 2005; 28: 259–266.PubMedCrossRef
18.
go back to reference Owen N, Leslie E, Salmon J, Fotheringham MJ. Environmental determinants of physical activity and sedentary behavior. Exerc Sport Sci Rev. 2000; 28: 153–158.PubMed Owen N, Leslie E, Salmon J, Fotheringham MJ. Environmental determinants of physical activity and sedentary behavior. Exerc Sport Sci Rev. 2000; 28: 153–158.PubMed
19.
go back to reference Sanchez A, Norman GJ, Sallis JF, et al. Patterns and correlates of physical activity and nutrition behaviors in adolescents. Am J Prev Med. 2007; 32: 124–130.PubMedCrossRef Sanchez A, Norman GJ, Sallis JF, et al. Patterns and correlates of physical activity and nutrition behaviors in adolescents. Am J Prev Med. 2007; 32: 124–130.PubMedCrossRef
20.
go back to reference Burke V, Milligan RA, Beilin LJ, et al. Clustering of health-related behaviors among 18-year-old Australians. Prev Med. 1997; 26: 724–733.PubMedCrossRef Burke V, Milligan RA, Beilin LJ, et al. Clustering of health-related behaviors among 18-year-old Australians. Prev Med. 1997; 26: 724–733.PubMedCrossRef
21.
go back to reference Monda KL, Popkin BM. Cluster analysis methods help to clarify the activity-BMI relationship of Chinese youth. Obes Res. 2005; 13: 1042–1051.PubMedCrossRef Monda KL, Popkin BM. Cluster analysis methods help to clarify the activity-BMI relationship of Chinese youth. Obes Res. 2005; 13: 1042–1051.PubMedCrossRef
22.
go back to reference Aldenderfer M, Blashfield RK. Cluster Analysis. Newbury Park: Sage; 1984. Aldenderfer M, Blashfield RK. Cluster Analysis. Newbury Park: Sage; 1984.
23.
go back to reference Sharma M. School-based interventions for childhood and adolescent obesity. Obes Rev. 2006; 7: 261–269.PubMedCrossRef Sharma M. School-based interventions for childhood and adolescent obesity. Obes Rev. 2006; 7: 261–269.PubMedCrossRef
24.
go back to reference Jurg ME, Kremers SP, Candel MJ, Van der Wal MF, De Meij JS. A controlled trial of a school-based environmental intervention to improve physical activity in Dutch children: JUMP-in, kids in motion. Health Promot Int. 2006; 21: 320–330.PubMedCrossRef Jurg ME, Kremers SP, Candel MJ, Van der Wal MF, De Meij JS. A controlled trial of a school-based environmental intervention to improve physical activity in Dutch children: JUMP-in, kids in motion. Health Promot Int. 2006; 21: 320–330.PubMedCrossRef
25.
go back to reference Gortmaker SL, Peterson K, Wiecha J, et al. Reducing obesity via a school-based interdisciplinary intervention among youth: planet health. Arch Pediatr Adolesc Med. 1999; 153: 409–418.PubMed Gortmaker SL, Peterson K, Wiecha J, et al. Reducing obesity via a school-based interdisciplinary intervention among youth: planet health. Arch Pediatr Adolesc Med. 1999; 153: 409–418.PubMed
26.
go back to reference Steckler A, Ethelbah B, Martin CJ, et al. Pathways process evaluation results: a school-based prevention trial to promote healthful diet and physical activity in American Indian third, fourth, and fifth grade students. Prev Med. 2003; 37: S80–S90.PubMedCrossRef Steckler A, Ethelbah B, Martin CJ, et al. Pathways process evaluation results: a school-based prevention trial to promote healthful diet and physical activity in American Indian third, fourth, and fifth grade students. Prev Med. 2003; 37: S80–S90.PubMedCrossRef
27.
go back to reference Robinson TN, Killen JD, Kraemer HC, et al. Dance and reducing television viewing to prevent weight gain in African–American girls: the Stanford GEMS pilot study. Ethn Dis. 2003; 13: S65–S77.PubMed Robinson TN, Killen JD, Kraemer HC, et al. Dance and reducing television viewing to prevent weight gain in African–American girls: the Stanford GEMS pilot study. Ethn Dis. 2003; 13: S65–S77.PubMed
28.
go back to reference Allender S, Cowburn G, Foster C. Understanding participation in sport and physical activity among children and adults: a review of qualitative studies. Health Educ Res. 2006; 21: 826–835.PubMedCrossRef Allender S, Cowburn G, Foster C. Understanding participation in sport and physical activity among children and adults: a review of qualitative studies. Health Educ Res. 2006; 21: 826–835.PubMedCrossRef
29.
go back to reference Kuo J, Voorhees CC, Haythornthwaite JA, Young DR. Associations between family support, family intimacy, and neighborhood violence and physical activity in urban adolescent girls. Am J Public Health. 2007; 97: 101–103.PubMedCrossRef Kuo J, Voorhees CC, Haythornthwaite JA, Young DR. Associations between family support, family intimacy, and neighborhood violence and physical activity in urban adolescent girls. Am J Public Health. 2007; 97: 101–103.PubMedCrossRef
30.
go back to reference Gordon-Larsen P, McMurray RG, Popkin BM. Adolescent physical activity and inactivity vary by ethnicity: the National Longitudinal Study of Adolescent Health. J Pediatr. 1999; 135: 301–306.PubMedCrossRef Gordon-Larsen P, McMurray RG, Popkin BM. Adolescent physical activity and inactivity vary by ethnicity: the National Longitudinal Study of Adolescent Health. J Pediatr. 1999; 135: 301–306.PubMedCrossRef
31.
go back to reference Newby PK, Muller D, Tucker KL. Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods. Am J Clin Nutr. 2004; 80: 759–767.PubMed Newby PK, Muller D, Tucker KL. Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods. Am J Clin Nutr. 2004; 80: 759–767.PubMed
32.
go back to reference Millen BE, Quatromoni PA, Pencina M, et al. Unique dietary patterns and chronic disease risk profiles of adult men: the Framingham nutrition studies. J Am Diet Assoc. 2005; 105: 1723–1734.PubMedCrossRef Millen BE, Quatromoni PA, Pencina M, et al. Unique dietary patterns and chronic disease risk profiles of adult men: the Framingham nutrition studies. J Am Diet Assoc. 2005; 105: 1723–1734.PubMedCrossRef
33.
go back to reference Newby PK, Tucker KL. Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev. 2004; 62: 177–203.PubMedCrossRef Newby PK, Tucker KL. Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev. 2004; 62: 177–203.PubMedCrossRef
34.
go back to reference U.S. Department of Health and Human Services, U.S. Department of Agriculture. Dietary Guidelines for Americans. In Dietary Guidelines for Americans. 6th ed. City; 2005. U.S. Department of Health and Human Services, U.S. Department of Agriculture. Dietary Guidelines for Americans. In Dietary Guidelines for Americans. 6th ed. City; 2005.
35.
go back to reference Popkin BM, Armstrong LE, Bray GM, et al. A new proposed guidance system for beverage consumption in the United States. Am J Clin Nutr. 2006; 83: 529–542.PubMed Popkin BM, Armstrong LE, Bray GM, et al. A new proposed guidance system for beverage consumption in the United States. Am J Clin Nutr. 2006; 83: 529–542.PubMed
36.
go back to reference Sallis J, McKenzie T, Kolody B, et al. Effects of health-related physical education on academic achievement: Project SPARK. Res Q Exerc Sport. 1999; 70: 127–134.PubMed Sallis J, McKenzie T, Kolody B, et al. Effects of health-related physical education on academic achievement: Project SPARK. Res Q Exerc Sport. 1999; 70: 127–134.PubMed
37.
go back to reference Dietz WH. The role of lifestyle in health: the epidemiology and consequences of inactivity. Proc Nutr Soc. 1996; 55: 829–840.PubMedCrossRef Dietz WH. The role of lifestyle in health: the epidemiology and consequences of inactivity. Proc Nutr Soc. 1996; 55: 829–840.PubMedCrossRef
38.
go back to reference StataCorp. Multivariate Statistics Reference Manual, Stata Statistical Software, Release 9. College Station, TX: StataCorp; 2005. StataCorp. Multivariate Statistics Reference Manual, Stata Statistical Software, Release 9. College Station, TX: StataCorp; 2005.
39.
go back to reference Hammer J, Howell S, Bytzer P, Horowitz M, Talley NJ. Symptom clustering in subjects with and without diabetes mellitus: a population-based study of 15,000 Australian adults. Am J Gastroenterol. 2003; 98: 391–398.PubMed Hammer J, Howell S, Bytzer P, Horowitz M, Talley NJ. Symptom clustering in subjects with and without diabetes mellitus: a population-based study of 15,000 Australian adults. Am J Gastroenterol. 2003; 98: 391–398.PubMed
40.
go back to reference Duffey KJ, Popkin BM. Adults with healthier dietary patterns have healthier beverage patterns. J Nutr. 2006; 136: 2901–2907.PubMed Duffey KJ, Popkin BM. Adults with healthier dietary patterns have healthier beverage patterns. J Nutr. 2006; 136: 2901–2907.PubMed
41.
go back to reference Must A, Anderson SE. Body mass index in children and adolescents: considerations for population-based applications. Int J Obes (Lond). 2006; 30: 590–594.CrossRef Must A, Anderson SE. Body mass index in children and adolescents: considerations for population-based applications. Int J Obes (Lond). 2006; 30: 590–594.CrossRef
42.
go back to reference Glymour MM, Weuve J, Berkman LF, Kawachi I, Robins JM. When is baseline adjustment useful in analyses of change? An example with education and cognitive change. Am J Epidemiol. 2005; 162: 267–278.PubMedCrossRef Glymour MM, Weuve J, Berkman LF, Kawachi I, Robins JM. When is baseline adjustment useful in analyses of change? An example with education and cognitive change. Am J Epidemiol. 2005; 162: 267–278.PubMedCrossRef
43.
go back to reference Pederson S, Seidman E. Team sports achievement and self-esteem development among urban adolescent girls. Psychol Women Q. 2004; 28: 412–422.CrossRef Pederson S, Seidman E. Team sports achievement and self-esteem development among urban adolescent girls. Psychol Women Q. 2004; 28: 412–422.CrossRef
44.
go back to reference van Mechelen W, Twisk JW, Post GB, Snel J, Kemper HC. Physical activity of young people: The Amsterdam Longitudinal Growth and Health Study. Med Sci Sports Exerc. 2000; 32: 1610–1616.PubMedCrossRef van Mechelen W, Twisk JW, Post GB, Snel J, Kemper HC. Physical activity of young people: The Amsterdam Longitudinal Growth and Health Study. Med Sci Sports Exerc. 2000; 32: 1610–1616.PubMedCrossRef
45.
go back to reference Adams J. Trends in physical activity and inactivity amongst US 14–18 year olds by gender, school grade and race, 1993–2003: Evidence from the youth risk behavior survey. BMC Public Health. 2006; 6: 57.PubMedCrossRef Adams J. Trends in physical activity and inactivity amongst US 14–18 year olds by gender, school grade and race, 1993–2003: Evidence from the youth risk behavior survey. BMC Public Health. 2006; 6: 57.PubMedCrossRef
46.
go back to reference Aaron DJ, Storti KL, Robertson RJ, Kriska AM, LaPorte RE. Longitudinal study of the number and choice of leisure time physical activities from mid to late adolescence: implications for school curricula and community recreation programs. Arch Pediatr Adolesc Med. 2002; 156: 1075–1080.PubMed Aaron DJ, Storti KL, Robertson RJ, Kriska AM, LaPorte RE. Longitudinal study of the number and choice of leisure time physical activities from mid to late adolescence: implications for school curricula and community recreation programs. Arch Pediatr Adolesc Med. 2002; 156: 1075–1080.PubMed
47.
go back to reference Watkins DC, Murray LJ, McCarron P, et al. Ten-year trends for fatness in Northern Irish adolescents: the Young Hearts Projects—repeat cross-sectional study. Int J Obes. 2005; 29: 579–585.CrossRef Watkins DC, Murray LJ, McCarron P, et al. Ten-year trends for fatness in Northern Irish adolescents: the Young Hearts Projects—repeat cross-sectional study. Int J Obes. 2005; 29: 579–585.CrossRef
48.
go back to reference Carroll SL, Lee RE, Kaur H, et al. Smoking, weight loss intention and obesity-promoting behaviors in college students. J Am Coll Nutr. 2006; 25: 348–353.PubMed Carroll SL, Lee RE, Kaur H, et al. Smoking, weight loss intention and obesity-promoting behaviors in college students. J Am Coll Nutr. 2006; 25: 348–353.PubMed
49.
go back to reference Lowry R, Galuska DA, Fulton JE, Wechsler H, Kann L. Weight management goals and practices among U.S. high school students: associations with physical activity, diet, and smoking. J Adolesc Health. 2002; 31: 133–144.PubMedCrossRef Lowry R, Galuska DA, Fulton JE, Wechsler H, Kann L. Weight management goals and practices among U.S. high school students: associations with physical activity, diet, and smoking. J Adolesc Health. 2002; 31: 133–144.PubMedCrossRef
50.
go back to reference McCabe MP, Ricciardelli LA. A prospective study of pressures from parents, peers, and the media on extreme weight change behaviors among adolescent boys and girls. Behav Res Ther. 2005; 43: 653–668.PubMedCrossRef McCabe MP, Ricciardelli LA. A prospective study of pressures from parents, peers, and the media on extreme weight change behaviors among adolescent boys and girls. Behav Res Ther. 2005; 43: 653–668.PubMedCrossRef
51.
go back to reference Neumark-Sztainer D, Story M, Hannan PJ, Perry CL, Irving LM. Weight-related concerns and behaviors among overweight and nonoverweight adolescents: Implications for preventing weight-related disorders. Arch Pediatr Adolesc Med. 2002; 156: 171–178.PubMed Neumark-Sztainer D, Story M, Hannan PJ, Perry CL, Irving LM. Weight-related concerns and behaviors among overweight and nonoverweight adolescents: Implications for preventing weight-related disorders. Arch Pediatr Adolesc Med. 2002; 156: 171–178.PubMed
52.
go back to reference Field AE, Aneja P, Austin SB, et al. Race and gender differences in the association of dieting and gains in BMI among young adults. Obesity (Silver Spring). 2007; 15: 456–464.CrossRef Field AE, Aneja P, Austin SB, et al. Race and gender differences in the association of dieting and gains in BMI among young adults. Obesity (Silver Spring). 2007; 15: 456–464.CrossRef
53.
go back to reference Tanofsky-Kraff M, Cohen ML, Yanovski SZ, et al. A prospective study of psychological predictors of body fat gain among children at high risk for adult obesity. Pediatrics. 2006; 117: 1203–1209.PubMedCrossRef Tanofsky-Kraff M, Cohen ML, Yanovski SZ, et al. A prospective study of psychological predictors of body fat gain among children at high risk for adult obesity. Pediatrics. 2006; 117: 1203–1209.PubMedCrossRef
54.
go back to reference Drewnowski A, Darmon N. Food choices and diet costs: an economic analysis. J Nutr. 2005; 135: 900–904.PubMed Drewnowski A, Darmon N. Food choices and diet costs: an economic analysis. J Nutr. 2005; 135: 900–904.PubMed
55.
go back to reference Utter J, Neumark-Sztainer D, Jeffery R, Story M. Couch potatoes or French fries: are sedentary behaviors associated with body mass index, physical activity, and dietary behaviors among adolescents. J Am Diet Assoc. 2003; 103: 1298–1305.PubMedCrossRef Utter J, Neumark-Sztainer D, Jeffery R, Story M. Couch potatoes or French fries: are sedentary behaviors associated with body mass index, physical activity, and dietary behaviors among adolescents. J Am Diet Assoc. 2003; 103: 1298–1305.PubMedCrossRef
56.
go back to reference Kimm SY, Glynn NW, Kriska AM, et al. Decline in physical activity in black girls and white girls during adolescence. N Engl J Med. 2002; 347: 709–715.PubMedCrossRef Kimm SY, Glynn NW, Kriska AM, et al. Decline in physical activity in black girls and white girls during adolescence. N Engl J Med. 2002; 347: 709–715.PubMedCrossRef
57.
go back to reference Gordon-Larsen P, Nelson MC, Popkin BM. Longitudinal physical activity and sedentary behavior trends: Adolescence to adulthood. Am J Prev Med. 2004; 27: 277–283.PubMed Gordon-Larsen P, Nelson MC, Popkin BM. Longitudinal physical activity and sedentary behavior trends: Adolescence to adulthood. Am J Prev Med. 2004; 27: 277–283.PubMed
58.
go back to reference Sallis JF, Owen N. Ecologic models of health behavior. In: Glanz K, Rimer BK, Lewis FM, eds. Health Behavior and Health Education: Theory, Research, and Practice. 3rd ed. San Francisco: Jossey-Bass; 2002: 462–484. Sallis JF, Owen N. Ecologic models of health behavior. In: Glanz K, Rimer BK, Lewis FM, eds. Health Behavior and Health Education: Theory, Research, and Practice. 3rd ed. San Francisco: Jossey-Bass; 2002: 462–484.
59.
go back to reference Zhang Q, Wang Y. Trends in the association between obesity and socioeconomic status in U.S. adults: 1971 to 2000. Obes Res. 2004; 12: 1622–1632.PubMedCrossRef Zhang Q, Wang Y. Trends in the association between obesity and socioeconomic status in U.S. adults: 1971 to 2000. Obes Res. 2004; 12: 1622–1632.PubMedCrossRef
60.
go back to reference Krahnstoever Davison K, Francis LA, Birch LL. Reexamining obesigenic families: parents' obesity-related behaviors predict girls' change in BMI. Obes Res. 2005; 13: 1980–1990.PubMedCrossRef Krahnstoever Davison K, Francis LA, Birch LL. Reexamining obesigenic families: parents' obesity-related behaviors predict girls' change in BMI. Obes Res. 2005; 13: 1980–1990.PubMedCrossRef
61.
go back to reference Gordon-Larsen P, Nelson MC, Page P, Popkin BM. Inequality in the built environment underlies key health disparities in physical activity and obesity. Pediatrics. 2006; 117: 417–424.PubMedCrossRef Gordon-Larsen P, Nelson MC, Page P, Popkin BM. Inequality in the built environment underlies key health disparities in physical activity and obesity. Pediatrics. 2006; 117: 417–424.PubMedCrossRef
62.
go back to reference American Academy of Pediatrics. Children, adolescents, and television. Pediatrics. 2001; 107: 423–426.CrossRef American Academy of Pediatrics. Children, adolescents, and television. Pediatrics. 2001; 107: 423–426.CrossRef
63.
go back to reference Robinson TN. Reducing children's television viewing to prevent obesity: a randomized controlled trial. JAMA. 1999; 282: 1561–1567.PubMedCrossRef Robinson TN. Reducing children's television viewing to prevent obesity: a randomized controlled trial. JAMA. 1999; 282: 1561–1567.PubMedCrossRef
64.
go back to reference Sirard JR, Pate RR. Physical activity assessment in children and adolescents. Sports Med. 2001; 31: 439–454.PubMedCrossRef Sirard JR, Pate RR. Physical activity assessment in children and adolescents. Sports Med. 2001; 31: 439–454.PubMedCrossRef
65.
go back to reference Willett WC. Chapter 1: Overview of nutritional epidemiology. In Nutritional Epidemiology. 2nd ed. New York: Oxford University Press; 1998 Willett WC. Chapter 1: Overview of nutritional epidemiology. In Nutritional Epidemiology. 2nd ed. New York: Oxford University Press; 1998
66.
go back to reference Schoeller DA. Limitations in the assessment of dietary energy intake by self-report. Metabolism. 1995; 44: 18–22.PubMedCrossRef Schoeller DA. Limitations in the assessment of dietary energy intake by self-report. Metabolism. 1995; 44: 18–22.PubMedCrossRef
67.
go back to reference Boone JE, Gordon-Larsen P, Adair LS, Popkin BM. Screen time and physical activity during adolescence: longitudinal effects on obesity in young adulthood. Int J Behav Nutr Phys Act. 2007; 4: 26.PubMedCrossRef Boone JE, Gordon-Larsen P, Adair LS, Popkin BM. Screen time and physical activity during adolescence: longitudinal effects on obesity in young adulthood. Int J Behav Nutr Phys Act. 2007; 4: 26.PubMedCrossRef
68.
go back to reference Quatromoni PA, Copenhafer DL, Demissie S, et al. The internal validity of a dietary pattern analysis. The Framingham Nutrition Studies. J Epidemiol Community Health. 2002; 56: 381–388.PubMedCrossRef Quatromoni PA, Copenhafer DL, Demissie S, et al. The internal validity of a dietary pattern analysis. The Framingham Nutrition Studies. J Epidemiol Community Health. 2002; 56: 381–388.PubMedCrossRef
Metadata
Title
Obesogenic Clusters: Multidimensional Adolescent Obesity-related Behaviors in the U.S.
Authors
Janne Boone-Heinonen, M.P.H.
Penny Gordon-Larsen, Ph.D.
Linda S. Adair, Ph.D.
Publication date
01-12-2008
Publisher
Springer-Verlag
Published in
Annals of Behavioral Medicine / Issue 3/2008
Print ISSN: 0883-6612
Electronic ISSN: 1532-4796
DOI
https://doi.org/10.1007/s12160-008-9074-3

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