Lifestyle behaviors in metabolically healthy and unhealthy overweight and obese women: A preliminary study

PLoS ONE

Volumn 10, Issue 9, 2015, Pages

  Camhi, Sarah M ^a   Crouter, Scott E ^b   Hayman, Laura L ^a   Must, Aviva ^c   Lichtenstein, Alice H ^d  

^a UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

^b UNIVERSITY OF TENNESSEE   (United States)

^c TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d TUFTS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AFRICAN AMERICAN; ARTICLE; CAUCASIAN; CLINICAL ARTICLE; CONTROLLED STUDY; DIETARY FIBER; DIETARY INTAKE; FEMALE; HEALTH BEHAVIOR; HUMAN; LIFESTYLE; OBESITY; PHYSICAL ACTIVITY; SEDENTARY LIFESTYLE; BODY MASS; DIET; EXERCISE; FEEDING BEHAVIOR; PSYCHOLOGY; YOUNG ADULT;

ADULT; BODY MASS INDEX; DIET; EXERCISE; FEEDING BEHAVIOR; FEMALE; HUMANS; LIFE STYLE; OBESITY; OVERWEIGHT; SEDENTARY LIFESTYLE; YOUNG ADULT;

EID: 84946594801     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0138548     Document Type: Article

References (42)

1. Karelis AD, St-Pierre DH, Conus F, Rabasa-Lhoret R, Poehlman ET. Metabolic and body composition factors in subgroups of obesity: what do we know? J Clin Endocrinol Metab. 2004; 89(6):2569-75.
2. Brochu M, Tchernof A, Dionne IJ, Sites CK, Eltabbakh GH, Sims EA, et al. What are the physical characteristics associated with a normal metabolic profile despite a high level of obesity in postmenopausal women? J Clin Endocrinol Metab. 2001; 86(3):1020-5.
3. Ogorodnikova AD, Kim M, McGinn AP, Muntner P, Khan U, Wildman RP. Incident cardiovascular disease events in metabolically benign obese individuals. Obesity (Silver Spring). 2012; 20(3):651-9.
4. van der ADL, Nooyens AC, van Duijnhoven FJ, Verschuren MM, Boer JM. All-cause mortality risk of metabolically healthy abdominal obese individuals: the EPIC-MORGEN study. Obesity (Silver Spring). 2014; 22(2):557-64.
5. Velho S, Paccaud F, Waeber G, Vollenweider P, Marques-Vidal P. Metabolically healthy obesity: different prevalences using different criteria. Eur J Clin Nutr. 2010; 64(10):1043-51. doi:10.1038/ejcn.2010. 114
6. Wildman RP, Muntner P, Reynolds K, McGinn AP, Rajpathak S, Wylie-Rosett J, et al. The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering: prevalence and correlates of 2 phenotypes among the US population (NHANES 1999-2004). Arch Intern Med. 2008; 168(15):1617-24. doi:10.1001/archinte.168.15.1617
7. Hankinson AL, Daviglus ML, Van Horn L, Chan Q, Brown I, Holmes E, et al. Diet composition and activity level of at risk and metabolically healthy obese American adults. Obesity (Silver Spring). 2013; 21 (3):637-43.
8. Lee K. Metabolically obese but normal weight (MONW) and metabolically healthy but obese (MHO) phenotypes in Koreans: characteristics and health behaviors. Asia Pac J Clin Nutr. 2009; 18(2):280-4.
9. Messier V, Karelis AD, Prud'homme D, Primeau V, Brochu M, Rabasa-Lhoret R. Identifying metabolically healthy but obese individuals in sedentary postmenopausal women. Obesity (Silver Spring). 2010; 18(5):911-7.
10. Phillips CM, Dillon C, Harrington JM, McCarthy VJ, Kearney PM, Fitzgerald AP, et al. Defining metabolically healthy obesity: role of dietary and lifestyle factors. PLoS One. 2013; 8(10):e76188. doi:10.1371/journal.pone.0076188
11. Artero EG, Lee DC, Lavie CJ, Espana-Romero V, Sui X, Church TS, et al. Effects of muscular strength on cardiovascular risk factors and prognosis. J Cardiopulm Rehabil Prev. 2012; 32(6):351-8. doi:10. 1097/HCR.0b013e3182642688
12. Sarvottam K, Magan D, Yadav RK, Mehta N, Mahapatra SC. Adiponectin, interleukin-6, and cardiovascular disease risk factors are modified by a short-term yoga-based lifestyle intervention in overweight and obese men. J Altern Complement Med. 2013; 19(5):397-402. doi:10.1089/acm.2012.0086
13. Bell JA, Kivimaki M, Batty GD, Hamer M. Metabolically healthy obesity: what is the role of sedentary behaviour? Prev Med. 2014; 62:35-7. doi:10.1016/j.ypmed.2014.01.028
14. Camhi SM, Whitney Evans E, Hayman LL, Lichtenstein AH, Must A. Healthy eating index and metabolically healthy obesity in U.S. adolescents and adults. Prev Med. 2015; 77:23-7. doi:10.1016/j.ypmed. 2015.04.023
15. Li S, Chen W, Srinivasan SR, Xu J, Berenson GS. Relation of childhood obesity/cardiometabolic phenotypes to adult cardiometabolic profile: the Bogalusa Heart Study. Am J Epidemiol. 2012; 176 Suppl 7:S142-9. doi:10.1093/aje/kws236
16. Cornier MA, Despres JP, Davis N, Grossniklaus DA, Klein S, Lamarche B, et al. Assessing adiposity: a scientific statement from the american heart association. Circulation. 2011; 124(18):1996-2019. doi:10.1161/CIR.0b013e318233bc6a
17. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985; 28(7):412-9.
18. Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, et al. Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol. 2008; 167(7):875-81. doi:10.1093/aje/kwm390
19. Matthews CE. Calibration of Accelerometer Output for Adults. Med Sci Sports Exerc. 2005; 37(11): s512-s22.
20. Crouter SE, DellaValle DM, Haas JD, Frongillo EA, Bassett DR. Validity of ActiGraph 2-regression model, Matthews cut-points, and NHANES cut-points for assessing free-living physical activity. J Phys Act Health. 2013; 10(4):504-14.
21. Tudor-Locke C, Johnson WD, Katzmarzyk PT. Accelerometer-determined steps per day in US adults. Med Sci Sports Exerc. 2009; 41(7):1384-91. doi:10.1249/MSS.0b013e318199885c
22. Crouter SE, Kuffel E, Haas JD, Frongillo EA, Bassett DR Jr. Refined two-regression model for the Acti-Graph accelerometer. Med Sci Sports Exerc. 2010; 42(5):1029-37. doi:10.1249/MSS. 0b013e3181c37458
23. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008; 40(1):181-8.
24. Blair SN, Haskell WL, Ho P, Paffenbarger RS Jr., Vranizan KM, Farquhar JW, et al. Assessment of habitual physical activity by a seven-day recall in a community survey and controlled experiments. AmJEpidemiol. 1985; 122(5):794-804.
25. Sallis JF, Haskell WL, Fortmann SP, Vranizan KM, Taylor CB, Solomon DS. Predictors of adoption and maintenance of physical activity in a community sample. Prev Med. 1986; 15(4):331-41
26. Washburn RA, Jacobsen DJ, Sonko BJ, Hill JO, Donnelly JE. The validity of the Stanford Seven-Day Physical Activity Recall in young adults. Med Sci Sports Exerc. 2003; 35(8):1374-80.
27. NHANES Questionnaires,Datasets, and Related Documentation Hyattsville, MD: National Center for Health Statistics; 2012 [cited 2015 January 12]. Available: http://www.cdc.gov/nchs/nhanes/nhanes-questionnaires.htm.
28. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003; 35(8):1381-95.
29. Block G, Woods M, Potosky A, Clifford C. Validation of a self-Administered diet history questionnaire using multiple diet records. Journal of clinical epidemiology. 1990; 43(12):1327-35.
30. Healy GN, Dunstan DW, Salmon J, Cerin E, Shaw JE, Zimmet PZ, et al. Objectively measured lightintensity physical activity is independently associated with 2-h plasma glucose. Diabetes Care. 2007; 30(6):1384-9.
31. Duvivier BM, Schaper NC, Bremers MA, van Crombrugge G, Menheere PP, Kars M, et al. Minimal intensity physical activity (standing and walking) of longer duration improves insulin action and plasma lipids more than shorter periods of moderate to vigorous exercise (cycling) in sedentary subjects when energy expenditure is comparable. PLoS One. 2013; 8(2):e55542. doi:10.1371/journal.pone.0055542
32. Buman MP, Hekler EB, Haskell WL, Pruitt L, Conway TL, Cain KL, et al. Objective light-intensity physical activity associations with rated health in older adults. Am J Epidemiol. 2010; 172(10):1155-65. doi:10.1093/aje/kwq249
33. Hamer M, Stamatakis E, Steptoe A. Effects of substituting sedentary time with physical activity on metabolic risk. Med Sci Sports Exerc. 2014; 46(10):1946-50. doi:10.1249/MSS.0000000000000317
34. Wolff DL, Fitzhugh EC, Bassett DR, Churilla JR. Waist-Worn Actigraphy: Population-Referenced Percentiles for Total Activity Counts in U.S. Adults. J Phys Act Health. 2014;Jun 4. [Epub ahead of print].
35. Tudor-Locke C, Ainsworth BE, Thompson RW, Matthews CE. Comparison of pedometer and accelerometer measures of free-living physical activity. Med Sci Sports Exerc. 2002; 34(12):2045-51
36. Leenders M, Boshuizen HC, Ferrari P, Siersema PD, Overvad K, Tjonneland A, et al. Fruit and vegetable intake and cause-specific mortality in the EPIC study. Eur J Epidemiol. 2014; 29(9):639-52. doi:10. 1007/s10654-014-9945-9
37. Anderson JW, Baird P, Davis RH Jr., Ferreri S, Knudtson M, Koraym A, et al. Health benefits of dietary fiber. Nutr Rev. 2009; 67(4):188-205. doi:10.1111/j.1753-4887.2009.00189.x
38. Bailey RK, Fileti CP, Keith J, Tropez-Sims S, Price W, Allison-Ottey SD. Lactose intolerance and health disparities among African Americans and Hispanic Americans: an updated consensus statement. J Natl Med Assoc. 2013; 105(2):112-27.
39. Kumanyika SK. Special issues regarding obesity in minority populations. Ann Intern Med. 1993; 119(7 Pt 2):650-4.
40. Kumanyika SK. Obesity in minority populations: an epidemiologic assessment. Obes Res. 1994; 2 (2):166-82.
41. Executive summary of the clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults. ArchInternMed. 1998; 158(17):1855-67.
42. Sarwer DB, von Sydow Green A, Vetter ML, Wadden TA. Behavior therapy for obesity: where are we now? Current opinion in endocrinology, diabetes, and obesity. 2009; 16(5):347-52. doi:10.1097/MED. 0b013e32832f5a79