Skip to main content

Behavioral Differences Leading to Disparities in Energy Balance and Cancer

  • Chapter
  • First Online:
Impact of Energy Balance on Cancer Disparities

Abstract

The patterns of racial/ethnic, gender, and socio-demographic disparities in cancer incidence patterns are complex. While susceptibility, exposure, environment, access to and attitudes towards screening and medical treatment influence cancer incidence and mortality, there are strong behavioral influences on racial/ethnic and socioeconomic disparities in incidence and mortality by cancer site. These behaviors are intertwined with culture and acculturation. In this chapter, we discuss disparities in four central areas of behavior that are related to both energy balance and cancer. These include dietary intake (broken down by key nutrients), disparities in physical activity and sedentary behavior, disparities in sleep, and disparities in smoking.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Siegel R, Naishadham D, Jemal A (2013) Cancer statistics, 2013. CA Cancer J Clin 63(1):11–30

    PubMed  Google Scholar 

  2. Shavers VL, Brown ML (2002) Racial and ethnic disparities in the receipt of cancer treatment. J Natl Cancer Inst 94(5):334–357

    PubMed  Google Scholar 

  3. Espey DK, Wu X-C, Swan J, Wiggins C, Jim MA, Ward E, Wingo PA, Howe HL, Ries LAG, Miller BA, Jemal A, Ahmed F, Cobb N, Kaur JS, Edwards BK (2007) Annual report to the nation on the status of cancer, 1975–2004, featuring cancer in American Indians and Alaska Natives. Cancer 110(10):2119–2152. doi:10.1002/cncr.23044

    PubMed  Google Scholar 

  4. Aziz H, Hussain F, Edelman S, Cirrone J, Aral I, Fruchter R, Homel P, Rotman M (1996) Age and race as prognostic factors in endometrial carcinoma. Am J Clin Oncol 19(6):595–600

    CAS  PubMed  Google Scholar 

  5. Boyer-Chammard A, Taylor TH, Anton-Culver H (1999) Survival differences in breast cancer among racial/ethnic groups: a population-based study. Cancer Detect Prev 23(6):463–473

    CAS  PubMed  Google Scholar 

  6. Ward E, Jemal A, Cokkinides V, Singh GK, Cardinez C, Ghafoor A, Thun M (2004) Cancer disparities by race/ethnicity and socioeconomic status. CA Cancer J Clin 54(2):78–93. doi:10.3322/canjclin.54.2.78

    PubMed  Google Scholar 

  7. Chu KC, Miller BA, Springfield SA (2007) Measures of racial/ethnic health disparities in cancer mortality rates and the influence of socioeconomic status. J Natl Med Assoc 99(10):1092–1104

    PubMed Central  PubMed  Google Scholar 

  8. Wong ML, Clarke CA, Yang J, Hwang J, Hiatt RA, Wang S (2013) Incidence of non-small-cell lung cancer among California Hispanics according to neighborhood socioeconomic status. J Thorac Oncol 8(3):287–294

    PubMed  Google Scholar 

  9. Siegel R, Ward E, Brawley O, Jemal A (2011) Cancer statistics, 2011. CA Cancer J Clin 61(4):212–236

    PubMed  Google Scholar 

  10. Spruijt-Metz D, Nguyen-Rodriguez ST, Davis JN (2010) Behavior, energy balance, and cancer: an overview. In: Berger N (ed) Cancer and energy balance, epidemiology and overview, vol 1, Energy balance and cancer. Springer, New York, pp 233–266

    Google Scholar 

  11. Kranz S, Hartman T, Siega-Riz AM, Herring AH (2006) A diet quality index for American preschoolers based on current dietary intake recommendations and an indicator of energy balance. J Am Diet Assoc 106(10):1594–1604. doi:10.1016/j.jada.2006.07.005

    PubMed  Google Scholar 

  12. Drewnowski A, Specter SE (2004) Poverty and obesity: the role of energy density and energy costs. Am J Clin Nutr 79(1):6–16

    CAS  PubMed  Google Scholar 

  13. Hill JO (2006) Understanding and addressing the epidemic of obesity: an energy balance perspective. Endocr Rev 27(7):750–761. doi:10.1210/er.2006-0032

    PubMed  Google Scholar 

  14. DiMeglio DP, Mattes RD (2000) Liquid versus solid carbohydrate: effects on food intake and body weight. Int J Obes Relat Metab Disord 24(6):794–800

    CAS  PubMed  Google Scholar 

  15. Raben A, Vasilaras TH, Moller AC, Astrup A (2002) Sucrose compared with artificial sweeteners: different effects on ad libitum food intake and body weight after 10 wk of supplementation in overweight subjects. Am J Clin Nutr 76(4):721–729

    CAS  PubMed  Google Scholar 

  16. Ludwig DS, Peterson KE, Gortmaker SL (2001) Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet 357(9255):505–508

    CAS  PubMed  Google Scholar 

  17. Malik VS, Schulze MB, Hu FB (2006) Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr 84(2):274–288

    CAS  PubMed Central  PubMed  Google Scholar 

  18. Saris WH (2003) Sugars, energy metabolism, and body weight control. Am J Clin Nutr 78(4):850S–857S

    CAS  PubMed  Google Scholar 

  19. Bray GA, Nielsen SJ, Popkin BM (2004) Consumption of high-fructose corn syrup in beverages may play a role in the epidemic of obesity. Am J Clin Nutr 79(4):537–543

    CAS  PubMed  Google Scholar 

  20. Michaud DS, Liu S, Giovannucci E, Willett WC, Colditz GA, Fuchs CS (2002) Dietary sugar, glycemic load, and pancreatic cancer risk in a prospective study. J Natl Cancer Inst 94(17):1293–1300

    CAS  PubMed  Google Scholar 

  21. Larsson SC, Bergkvist L, Wolk A (2006) Consumption of sugar and sugar-sweetened foods and the risk of pancreatic cancer in a prospective study. Am J Clin Nutr 84(5):1171–1176

    CAS  PubMed  Google Scholar 

  22. La Vecchia C, Franceschi S, Dolara P, Bidoli E, Barbone F (1993) Refined-sugar intake and the risk of colorectal cancer in humans. Int J Cancer 55(3):386–389

    PubMed  Google Scholar 

  23. Michaud DS, Fuchs CS, Liu S, Willett WC, Colditz GA, Giovannucci E (2005) Dietary glycemic load, carbohydrate, sugar, and colorectal cancer risk in men and women. Cancer Epidemiol Biomarkers Prev 14(1):138–147

    CAS  PubMed  Google Scholar 

  24. Terry PD, Jain M, Miller AB, Howe GR, Rohan TE (2003) Glycemic load, carbohydrate intake, and risk of colorectal cancer in women: a prospective cohort study. J Natl Cancer Inst 95(12):914–916

    CAS  PubMed  Google Scholar 

  25. Kushi LH, Doyle C, McCullough M, Rock CL, Demark-Wahnefried W, Bandera EV, Gapstur S, Patel AV, Andrews K, Gansler T (2012) American Cancer Society guidelines on nutrition and physical activity for cancer prevention. CA Cancer J Clin 62(1):30–67

    PubMed  Google Scholar 

  26. Kranz S, Siega-Riz AM (2002) Sociodemographic determinants of added sugar intake in preschoolers 2 to 5 years old. J Pediatr 140(6):667–672. doi:10.1067/mpd.2002.124307

    PubMed  Google Scholar 

  27. Wilson TA, Adolph AL, Butte NF (2009) Nutrient adequacy and diet quality in non-overweight and overweight Hispanic children of low socioeconomic status: the Viva la Familia Study. J Am Diet Assoc 109(6):1012–1021. doi:10.1016/j.jada.2009.03.007

    PubMed Central  PubMed  Google Scholar 

  28. Thompson FE, McNeel TS, Dowling EC, Midthune D, Morrissette M, Zeruto CA (2009) Interrelationships of added sugars intake, socioeconomic status, and race/ethnicity in adults in the United States: National Health Interview Survey, 2005. J Am Diet Assoc 109(8):1376–1383. doi:10.1016/j.jada.2009.05.002

    PubMed Central  PubMed  Google Scholar 

  29. Perez-Escamilla R, Putnik P (2007) The role of acculturation in nutrition, lifestyle, and incidence of type 2 diabetes among Latinos. J Nutr 137(4):860–870

    CAS  PubMed  Google Scholar 

  30. Rehm CD, Matte TD, Van Wye G, Young C, Frieden TR (2008) Demographic and behavioral factors associated with daily sugar-sweetened soda consumption in New York City adults. J Urban Health 85(3):375–385. doi:10.1007/s11524-008-9269-8

    PubMed Central  PubMed  Google Scholar 

  31. Beydoun MA, Wang Y (2008) How do socio-economic status, perceived economic barriers and nutritional benefits affect quality of dietary intake among US adults? Eur J Clin Nutr 62(3):303–313. doi:10.1038/sj.ejcn.1602700

    CAS  PubMed  Google Scholar 

  32. Cullen KW, Ash DM, Warneke C, de Moor C (2002) Intake of soft drinks, fruit-flavored beverages, and fruits and vegetables by children in grades 4 through 6. Am J Public Health 92(9):1475–1478

    PubMed Central  PubMed  Google Scholar 

  33. Himmelgreen DA, Bretnall A, Perez-Escamilla R, Peng Y, Bermudez A (2005) Birthplace, length of time in the US, and language are associated with diet among inner-city Puerto Rican women keywords. Ecol Food Nutr 44(2):105–122

    Google Scholar 

  34. Bermudez OL, Falcon LM, Tucker KL (2000) Intake and food sources of macronutrients among older Hispanic adults: association with ethnicity acculturation, and length of residence in the United States. J Am Diet Assoc 100(6):665–673

    CAS  PubMed  Google Scholar 

  35. Drewnowski A (2007) The real contribution of added sugars and fats to obesity. Epidemiol Rev 29:160–171. doi:10.1093/epirev/mxm011

    PubMed  Google Scholar 

  36. Popkin BM, Nielsen SJ (2003) The sweetening of the world’s diet. Obes Res 11(11):1325–1332. doi:10.1038/oby.2003.179

    PubMed  Google Scholar 

  37. MacLean CH, Newberry SJ, Mojica WA, Khanna P, Issa AM, Suttorp MJ, Lim YW, Traina SB, Hilton L, Garland R, Morton SC (2006) Effects of omega-3 fatty acids on cancer risk: a systematic review. JAMA 295(4):403–415. doi:10.1001/jama.295.4.403

    CAS  PubMed  Google Scholar 

  38. Terry PD, Rohan TE, Wolk A (2003) Intakes of fish and marine fatty acids and the risks of cancers of the breast and prostate and of other hormone-related cancers: a review of the epidemiologic evidence. Am J Clin Nutr 77(3):532–543

    CAS  PubMed  Google Scholar 

  39. Larsson SC, Kumlin M, Ingelman-Sundberg M, Wolk A (2004) Dietary long-chain n-3 fatty acids for the prevention of cancer: a review of potential mechanisms. Am J Clin Nutr 79(6):935–945

    CAS  PubMed  Google Scholar 

  40. Bjerregaard P (2013) The association of n-3 fatty acids with serum High Density Cholesterol (HDL) is modulated by sex but not by Inuit ancestry. Atherosclerosis 226(1):281–285. doi:10.1016/j.atherosclerosis.2012.10.071

    CAS  PubMed  Google Scholar 

  41. Kelly J, Lanier A, Santos M, Healey S, Louchini R, Friborg J (2008) Cancer among the circumpolar Inuit, 1989–2003. II. Patterns and trends. Int J Circumpolar Health 67(5):408–420

    PubMed  Google Scholar 

  42. Dewailly É, Blanchet C, Gingras S, Lemieux S, Holub BJ (2003) Fish consumption and blood lipids in three ethnic groups of Québec (Canada). Lipids 38(4):359–365

    CAS  PubMed  Google Scholar 

  43. Kolonel LN, Henderson BE, Hankin JH, Nomura AM, Wilkens LR, Pike MC, Stram DO, Monroe KR, Earle ME, Nagamine FS (2000) A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics. Am J Epidemiol 151(4):346–357

    CAS  PubMed  Google Scholar 

  44. Verbeke W, Vackier I (2005) Individual determinants of fish consumption: application of the theory of planned behaviour. Appetite 44(1):67–82. doi:10.1016/j.appet.2004.08.006

    PubMed  Google Scholar 

  45. Olsen SO, Scholderer J, Brunsø K, Verbeke W (2007) Exploring the relationship between convenience and fish consumption: a cross-cultural study. Appetite 49(1):84–91. doi:10.1016/j.appet.2006.12.002

    PubMed  Google Scholar 

  46. Burger J, Stephens WL, Boring CS, Kuklinski M, Gibbons JW, Gochfeld M (1999) Factors in exposure assessment: ethnic and socioeconomic differences in fishing and consumption of fish caught along the Savannah River. Risk Anal 19(3):427–438

    CAS  PubMed  Google Scholar 

  47. Wu AH, Lee E, Vigen C (2013) Soy isoflavones and breast cancer. Am Soc Clin Oncol Ed Book 33:102–106. doi:10.1200/EdBook_AM.2013.33.102

    Google Scholar 

  48. van Die MD, Bone KM, Williams SG, Pirotta MV (2013) Soy and soy isoflavones in prostate cancer: a systematic review and meta-analysis of randomised controlled trials. BJU Int. doi:10.1111/bju.12435

    Google Scholar 

  49. Di Maso M, Talamini R, Bosetti C, Montella M, Zucchetto A, Libra M, Negri E, Levi F, La Vecchia C, Franceschi S, Serraino D, Polesel J (2013) Red meat and cancer risk in a network of case-control studies focusing on cooking practices. Ann Oncol 24(12):3107–3112. doi:10.1093/annonc/mdt392

    PubMed  Google Scholar 

  50. Alexander DD, Cushing CA (2011) Red meat and colorectal cancer: a critical summary of prospective epidemiologic studies. Obes Rev 12(5):e472–e493. doi:10.1111/j.1467-789X.2010.00785.x

    CAS  PubMed  Google Scholar 

  51. Choi Y, Song S, Song Y, Lee JE (2013) Consumption of red and processed meat and esophageal cancer risk: meta-analysis. World J Gastroenterol 19(7):1020–1029. doi:10.3748/wjg.v19.i7.1020

    PubMed Central  PubMed  Google Scholar 

  52. Alexander DD, Mink PJ, Cushing CA, Sceurman B (2010) A review and meta-analysis of prospective studies of red and processed meat intake and prostate cancer. Nutr J 9:50. doi:10.1186/1475-2891-9-50

    PubMed Central  PubMed  Google Scholar 

  53. Chan DS, Lau R, Aune D, Vieira R, Greenwood DC, Kampman E, Norat T (2011) Red and processed meat and colorectal cancer incidence: meta-analysis of prospective studies. PLoS One 6(6):e20456. doi:10.1371/journal.pone.0020456

    CAS  PubMed Central  PubMed  Google Scholar 

  54. Larsson SC, Wolk A (2012) Red and processed meat consumption and risk of pancreatic cancer: meta-analysis of prospective studies. Br J Cancer 106(3):603–607. doi:10.1038/bjc.2011.585

    CAS  PubMed Central  PubMed  Google Scholar 

  55. Zhu H, Yang X, Zhang C, Zhu C, Tao G, Zhao L, Tang S, Shu Z, Cai J, Dai S, Qin Q, Xu L, Cheng H, Sun X (2013) Red and processed meat intake is associated with higher gastric cancer risk: a meta-analysis of epidemiological observational studies. PLoS One 8(8):e70955. doi:10.1371/journal.pone.0070955

    CAS  PubMed Central  PubMed  Google Scholar 

  56. Smolińska K, Paluszkiewicz P (2010) Risk of colorectal cancer in relation to frequency and total amount of red meat consumption. Systematic review and meta-analysis. Arch Med Sci 6(4):605–610. doi:10.5114/aoms.2010.14475

    PubMed Central  PubMed  Google Scholar 

  57. Bingham SA, Luben R, Welch A, Wareham N, Khaw KT, Day N (2003) Are imprecise methods obscuring a relation between fat and breast cancer? Lancet 362(9379):212–214. doi:10.1016/S0140-6736(03)13913-X

    PubMed  Google Scholar 

  58. Giovannucci E, Rimm EB, Colditz GA, Stampfer MJ, Ascherio A, Chute CG, Chute CC, Willett WC (1993) A prospective study of dietary fat and risk of prostate cancer. J Natl Cancer Inst 85(19):1571–1579

    CAS  PubMed  Google Scholar 

  59. Sinha R, Rothman N (1999) Role of well-done, grilled red meat, heterocyclic amines (HCAs) in the etiology of human cancer. Cancer Lett 143(2):189–194

    CAS  PubMed  Google Scholar 

  60. Daniel CR, Cross AJ, Koebnick C, Sinha R (2011) Trends in meat consumption in the USA. Public Health Nutr 14(4):575–583. doi:10.1017/S1368980010002077

    PubMed Central  PubMed  Google Scholar 

  61. Elder JP, Castro FG, de Moor C, Mayer J, Candelaria JI, Campbell N, Talavera G, Ware LM (1991) Differences in cancer-risk-related behaviors in Latino and Anglo adults. Prev Med 20(6):751–763

    CAS  PubMed  Google Scholar 

  62. Otero-Sabogal R, Sabogal F, Pérez-Stable EJ, Hiatt RA (1995) Dietary practices, alcohol consumption, and smoking behavior: ethnic, sex, and acculturation differences. J Natl Cancer Inst Monogr 18:73–82

    PubMed  Google Scholar 

  63. Sussner KM, Lindsay AC, Greaney ML, Peterson KE (2008) The influence of immigrant status and acculturation on the development of overweight in Latino families: a qualitative study. J Immigr Minor Health 10(6):497–505. doi:10.1007/s10903-008-9137-3

    PubMed Central  PubMed  Google Scholar 

  64. Drewnowski A, Popkin BM (1997) The nutrition transition: new trends in the global diet. Nutr Rev 55(2):31–43

    CAS  PubMed  Google Scholar 

  65. Gomel JN, Zamora A (2007) English- and Spanish-speaking Latina mothers’ beliefs about food, health, and mothering. J Immigr Minor Health 9(4):359–367. doi:10.1007/s10903-007-9040-3

    PubMed  Google Scholar 

  66. Wang Y, Beydoun MA, Caballero B, Gary TL, Lawrence R (2010) Trends and correlates in meat consumption patterns in the US adult population. Public Health Nutr 13(9):1333–1345. doi:10.1017/S1368980010000224

    PubMed Central  PubMed  Google Scholar 

  67. Steinmetz KA, Potter JD (1996) Vegetables, fruit, and cancer prevention: a review. J Am Diet Assoc 96(10):1027–1039. doi:10.1016/S0002-8223(96)00273-8

    CAS  PubMed  Google Scholar 

  68. Block G, Patterson B, Subar A (1992) Fruit, vegetables, and cancer prevention: a review of the epidemiological evidence. Nutr Cancer 18(1):1–29. doi:10.1080/01635589209514201

    CAS  PubMed  Google Scholar 

  69. Coleman HG, Murray LJ, Hicks B, Bhat SK, Kubo A, Corley DA, Cardwell CR, Cantwell MM (2013) Dietary fiber and the risk of precancerous lesions and cancer of the esophagus: a systematic review and meta-analysis. Nutr Rev 71(7):474–482. doi:10.1111/nure.12032

    PubMed  Google Scholar 

  70. Aune D, Chan DS, Greenwood DC, Vieira AR, Rosenblatt DA, Vieira R, Norat T (2012) Dietary fiber and breast cancer risk: a systematic review and meta-analysis of prospective studies. Ann Oncol 23(6):1394–1402. doi:10.1093/annonc/mdr589

    CAS  PubMed  Google Scholar 

  71. Zhang Z, Xu G, Ma M, Yang J, Liu X (2013) Dietary fiber intake reduces risk for gastric cancer: a meta-analysis. Gastroenterology 145(1):113.e113–120.e113. doi:10.1053/j.gastro.2013.04.001

    Google Scholar 

  72. Nomura AM, Hankin JH, Henderson BE, Wilkens LR, Murphy SP, Pike MC, Le Marchand L, Stram DO, Monroe KR, Kolonel LN (2007) Dietary fiber and colorectal cancer risk: the multiethnic cohort study. Cancer Causes Control 18(7):753–764. doi:10.1007/s10552-007-9018-4

    PubMed  Google Scholar 

  73. Trock B, Lanza E, Greenwald P (1990) Dietary fiber, vegetables, and colon cancer: critical review and meta-analyses of the epidemiologic evidence. J Natl Cancer Inst 82(8):650–661

    CAS  PubMed  Google Scholar 

  74. Jacobs DR, Marquart L, Slavin J, Kushi LH (1998) Whole-grain intake and cancer: an expanded review and meta-analysis. Nutr Cancer 30(2):85–96. doi:10.1080/01635589809514647

    PubMed  Google Scholar 

  75. Slavin JL (2000) Mechanisms for the impact of whole grain foods on cancer risk. J Am Coll Nutr 19(3 Suppl):300S–307S

    CAS  PubMed  Google Scholar 

  76. Dubowitz T, Heron M, Bird CE, Lurie N, Finch BK, Basurto-Dávila R, Hale L, Escarce JJ (2008) Neighborhood socioeconomic status and fruit and vegetable intake among whites, blacks, and Mexican Americans in the United States. Am J Clin Nutr 87(6):1883–1891

    CAS  PubMed Central  PubMed  Google Scholar 

  77. Patterson BH, Block G, Rosenberger WF, Pee D, Kahle LL (1990) Fruit and vegetables in the American diet: data from the NHANES II survey. Am J Public Health 80(12):1443–1449

    CAS  PubMed Central  PubMed  Google Scholar 

  78. Morland K, Filomena S (2007) Disparities in the availability of fruits and vegetables between racially segregated urban neighbourhoods. Public Health Nutr 10(12):1481–1489. doi:10.1017/S1368980007000079

    PubMed  Google Scholar 

  79. Kong A, Odoms-Young AM, Schiffer LA, Berbaum ML, Porter SJ, Blumstein L, Fitzgibbon ML (2013) Racial/ethnic differences in dietary intake among WIC families prior to food package revisions. J Nutr Educ Behav 45(1):39–46. doi:10.1016/j.jneb.2012.04.014

    PubMed Central  PubMed  Google Scholar 

  80. Wiseman M (2008) The second World Cancer Research Fund/American Institute for Cancer Research expert report. Food, nutrition, physical activity, and the prevention of cancer: a global perspective. Proc Nutr Soc 67(3):253–256

    Google Scholar 

  81. Patel AV, Rodriguez C, Bernstein L, Chao A, Thun MJ, Calle EE (2005) Obesity, recreational physical activity, and risk of pancreatic cancer in a large US Cohort. Cancer Epidemiol Biomarkers Prev 14(2):459–466

    PubMed  Google Scholar 

  82. Patel AV, Calle EE, Bernstein L, Wu AH, Thun MJ (2003) Recreational physical activity and risk of postmenopausal breast cancer in a large cohort of US women. Cancer Causes Control 14(6):519–529

    PubMed  Google Scholar 

  83. Giovannucci EL, Liu Y, Leitzmann MF, Stampfer MJ, Willett WC (2005) A prospective study of physical activity and incident and fatal prostate cancer. Arch Intern Med 165(9):1005

    PubMed  Google Scholar 

  84. McTiernan A, Tworoger SS, Ulrich CM, Yasui Y, Irwin ML, Rajan KB, Sorensen B, Rudolph RE, Bowen D, Stanczyk FZ (2004) Effect of exercise on serum estrogens in postmenopausal women a 12-month randomized clinical trial. Cancer Res 64(8):2923–2928

    CAS  PubMed  Google Scholar 

  85. McTiernan A, Tworoger SS, Rajan KB, Yasui Y, Sorenson B, Ulrich CM, Chubak J, Stanczyk FZ, Bowen D, Irwin ML (2004) Effect of exercise on serum androgens in postmenopausal women: a 12-month randomized clinical trial. Cancer Epidemiol Biomarkers Prev 13(7):1099–1105

    CAS  PubMed  Google Scholar 

  86. Caspersen CJ, Powell KE, Christenson GM (1985) Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep 100(2):126–131

    CAS  PubMed Central  PubMed  Google Scholar 

  87. Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, Macera CA, Heath GW, Thompson PD, Bauman A (2007) Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc 39(8):1423–1434, doi:10.1249/mss.0b013e3180616b2700005768-200708000-00027 [pii]

    PubMed  Google Scholar 

  88. Physical Activity Guidelines Advisory Committee (2008) Physical activity guidelines advisory committee report. Department of Health and Human Services, Washington, DC

    Google Scholar 

  89. Popkin BM, Duffey K, Gordon-Larsen P (2005) Environmental influences on food choice, physical activity and energy balance. Physiol Behav 86(5):603–613

    CAS  PubMed  Google Scholar 

  90. Gordon-Larsen P, McMurray RG, Popkin BM (2000) Determinants of adolescent physical activity and inactivity patterns. Pediatrics 105(6):E83

    CAS  PubMed  Google Scholar 

  91. Foster S, Giles-Corti B (2008) The built environment, neighborhood crime and constrained physical activity: an exploration of inconsistent findings. Prev Med 47(3):241–251. doi:10.1016/j.ypmed.2008.03.017

    PubMed  Google Scholar 

  92. Marquez DX, Neighbors CJ, Bustamante EE (2010) Leisure time and occupational physical activity among racial or ethnic minorities. Med Sci Sports Exerc 42(6):1086–1093. doi:10.1249/MSS.0b013e3181c5ec05

    PubMed  Google Scholar 

  93. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M (2008) Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 40(1):181–188. doi:10.1249/mss.0b013e31815a51b3

    PubMed  Google Scholar 

  94. Caperchione CM, Kolt GS, Mummery WK (2009) Physical activity in culturally and linguistically diverse migrant groups to Western society: a review of barriers, enablers and experiences. Sports Med 39(3):167–177. doi:10.2165/00007256-200939030-00001

    PubMed  Google Scholar 

  95. Maher CA, Olds TS (2011) Minutes, MET minutes, and METs: unpacking socio-economic gradients in physical activity in adolescents. J Epidemiol Community Health 65(2):160–165. doi:10.1136/jech.2009.099796

    CAS  PubMed  Google Scholar 

  96. Carlson JA, Mignano AM, Norman GJ, McKenzie TL, Kerr J, Arredondo EM, Madanat H, Cain KL, Elder JP, Saelens BE, Sallis JF (2014) Socioeconomic disparities in elementary school practices and children’s physical activity during school. Am J Health Promot 28(3 Suppl):S47–S53. doi:10.4278/ajhp.130430-QUAN-206

    PubMed Central  PubMed  Google Scholar 

  97. De Meester F, Van Dyck D, De Bourdeaudhuij I, Deforche B, Sallis JF, Cardon G (2012) Active living neighborhoods: is neighborhood walkability a key element for Belgian adolescents? BMC Public Health 12:7. doi:10.1186/1471-2458-12-7

    PubMed Central  PubMed  Google Scholar 

  98. Lamb KE, Ogilvie D, Ferguson NS, Murray J, Wang Y, Ellaway A (2012) Sociospatial distribution of access to facilities for moderate and vigorous intensity physical activity in Scotland by different modes of transport. Int J Behav Nutr Phys Act 9:55. doi:10.1186/1479-5868-9-55

    PubMed Central  PubMed  Google Scholar 

  99. Marquez DX, McAuley E, Overman N (2004) Psychosocial correlates and outcomes of physical activity among Latinos: a review. Hisp J Behav Sci 26(2):195–229

    Google Scholar 

  100. Whitt-Glover MC, Taylor WC, Floyd MF, Yore MM, Yancey AK, Matthews CE (2009) Disparities in physical activity and sedentary behaviors among US children and adolescents: prevalence, correlates, and intervention implications. J Public Health Policy 30(Suppl 1):S309–S334. doi:10.1057/jphp.2008.46

    PubMed  Google Scholar 

  101. Chen X, Beydoun MA, Wang Y (2008) Is sleep duration associated with childhood obesity? A systematic review and meta-analysis. Obesity (Silver Spring) 16:265–274

    Google Scholar 

  102. Lumeng J, Somashekar D, Appugliese D, Kaciroti N, Corwyn R, Bradley R (2007) Shorter sleep duration is associated with increased risk for being overweight at ages 9 to 12 years. Pediatrics 12(5):1020–1029

    Google Scholar 

  103. Vgontzas AN, Liao D, Pejovic S, Calhoun S, Karataraki M, Bixler EO (2009) Insomnia with objective short sleep duration is associated with type 2 diabetes: a population-based study. Diabetes Care 32(11):1980–1985. doi:10.2337/dc09-0284

    PubMed Central  PubMed  Google Scholar 

  104. Gangwisch JE, Heymsfield SB, Boden-Albala B, Buijs RM, Kreier F, Pickering TG, Rundle AG, Zammit GK, Malaspina D (2006) Short sleep duration as a risk factor for hypertension: analyses of the first National Health and Nutrition Examination Survey. Hypertension 47(5):833–839. doi:10.1161/01.HYP.0000217362.34748.e0

    CAS  PubMed  Google Scholar 

  105. Vgontzas AN, Liao D, Bixler EO, Chrousos GP, Vela-Bueno A (2009) Insomnia with objective short sleep duration is associated with a high risk for hypertension. Sleep 32(4):491–497

    PubMed Central  PubMed  Google Scholar 

  106. Bell JF, Zimmerman FJ (2010) Shortened nighttime sleep duration in early life and subsequent childhood obesity. Arch Pediatr Adolesc Med 164(9):840–845

    PubMed  Google Scholar 

  107. Ohkuma T, Fujii H, Iwase M, Kikuchi Y, Ogata S, Idewaki Y, Ide H, Doi Y, Hirakawa Y, Nakamura U, Kitazono T (2013) Impact of sleep duration on obesity and the glycemic level in patients with type 2 diabetes: the Fukuoka Diabetes Registry. Diabetes Care 36(3):611–617. doi:10.2337/dc12-0904

    PubMed Central  PubMed  Google Scholar 

  108. Taheri S (2007) The interactions between sleep, metabolism, and obesity. Int J Sleep Wakefulness 1(1):20–29

    Google Scholar 

  109. Cappuccio FP, D’Elia L, Strazzullo P, Miller MA (2010) Sleep duration and all-cause mortality: a systematic review and meta-analysis of prospective studies. Sleep 33(5):585–592

    PubMed Central  PubMed  Google Scholar 

  110. Chien KL, Chen PC, Hsu HC, Su TC, Sung FC, Chen MF, Lee YT (2010) Habitual sleep duration and insomnia and the risk of cardiovascular events and all-cause death: report from a community-based cohort. Sleep 33(2):177–184

    PubMed Central  PubMed  Google Scholar 

  111. Thompson CL, Larkin EK, Patel S, Berger NA, Redline S, Li L (2011) Short duration of sleep increases risk of colorectal adenoma. Cancer 117(4):841–847. doi:10.1002/cncr.25507

    PubMed Central  PubMed  Google Scholar 

  112. Zhao H, Yin JY, Yang WS, Qin Q, Li TT, Shi Y, Deng Q, Wei S, Liu L, Wang X, Nie SF (2013) Sleep duration and cancer risk: a systematic review and meta-analysis of prospective studies. Asian Pac J Cancer Prev 14(12):7509–7515

    PubMed  Google Scholar 

  113. Vishnu A, Shankar A, Kalidindi S (2011) Examination of the association between insufficient sleep and cardiovascular disease and diabetes by race/ethnicity. Int J Endocrinol 2011:789358. doi:10.1155/2011/789358

    PubMed Central  PubMed  Google Scholar 

  114. Bixler E (2009) Sleep and society: an epidemiological perspective. Sleep Med 10:S3–S6

    PubMed  Google Scholar 

  115. Stamatakis KA, Kaplan GA, Roberts RE (2007) Short sleep duration across income, education, and race/ethnic groups: population prevalence and growing disparities during 34 years of follow-up. Ann Epidemiol 17(12):948–955

    PubMed Central  PubMed  Google Scholar 

  116. Hale L, Do DP (2007) Racial differences in self-reports of sleep duration in a population-based study. Sleep 30(9):1096–1103

    PubMed Central  PubMed  Google Scholar 

  117. Patel NP, Grandner MA, Xie D, Branas CC, Gooneratne N (2010) “Sleep disparity” in the population: poor sleep quality is strongly associated with poverty and ethnicity. BMC Public Health 10:475

    PubMed Central  PubMed  Google Scholar 

  118. Grandner MA, Patel NP, Gehrman PR, Xie D, Sha D, Weaver T, Gooneratne N (2010) Who gets the best sleep? Ethnic and socioeconomic factors related to sleep complaints. Sleep Med 11(5):470–478

    PubMed Central  PubMed  Google Scholar 

  119. Goodin BR, McGuire L, Smith MT (2010) Ethnicity moderates the influence of perceived social status on subjective sleep quality. Behav Sleep Med 8(4):194–206

    PubMed  Google Scholar 

  120. Adam EK, Snell EK, Pendry P (2007) Sleep timing and quantity in ecological and family context: a nationally representative time-diary study. J Fam Psychol 21(1):4

    PubMed  Google Scholar 

  121. Crosby B, LeBourgeois MK, Harsh J (2005) Racial differences in reported napping and nocturnal sleep in 2-to 8-year-old children. Pediatrics 115(Supplement 1):225–232

    PubMed Central  PubMed  Google Scholar 

  122. Hicken MT, Lee H, Ailshire J, Burgard SA, Williams DR (2013) “Every shut eye, ain’t sleep”: the role of racism-related vigilance in racial/ethnic disparities in sleep difficulty. Race Soc Probl 5:100–112

    PubMed Central  PubMed  Google Scholar 

  123. Tomfohr L, Pung MA, Edwards KM, Dimsdale JE (2012) Racial differences in sleep architecture: the role of ethnic discrimination. Biol Psychol 89(1):34–38

    PubMed Central  PubMed  Google Scholar 

  124. Schachter FF, Fuchs ML, Bijur PE, Stone RK (1989) Cosleeping and sleep problems in Hispanic-American urban young children. Pediatrics 84(3):522–530

    CAS  PubMed  Google Scholar 

  125. Kelly RJ, El-Sheikh M (2011) Marital conflict and children’s sleep: reciprocal relations and socioeconomic effects. J Fam Psychol 25(3):412–422

    PubMed  Google Scholar 

  126. US Department of Health and Human Services (2014) The health consequences of smoking-50 years of progress: a report of the Surgeon General. US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office of Smoking and Health, Atlanta, GA

    Google Scholar 

  127. Centers for Disease Control and Prevention (2012) Current cigarette smoking among adults—United States, 2011. Morb Mortal Wkly Rep 61(44):889–894

    Google Scholar 

  128. U.S. Department of Health and Human Services (2012) Preventing tobacco use among youth and young adults: a report of the Surgeon General. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, Atlanta, GA

    Google Scholar 

  129. Centers for Disease Control and Prevention (2010) Racial disparities in smoking-attributable mortality and years of potential life lost—Missouri, 2003–2007. Morb Mortal Wkly Rep 59(46):1518–1522

    Google Scholar 

  130. de Morentin PBM, Whittle AJ, Fernø J, Nogueiras R, Diéguez C, Vidal-Puig A, López M (2012) Nicotine induces negative energy balance through hypothalamic AMP-activated protein kinase. Diabetes 61(4):807–817

    Google Scholar 

  131. Aubin H-J, Farley A, Lycett D, Lahmek P, Aveyard P (2012) Weight gain in smokers after quitting cigarettes: meta-analysis. BMJ 345:e4439

    PubMed Central  PubMed  Google Scholar 

  132. Behl M, Rao D, Aagaard K, Davidson TL, Levin ED, Slotkin TA, Srinivasan S, Wallinga D, White MF, Walker VR (2013) Evaluation of the association between maternal smoking, childhood obesity, and metabolic disorders: a national toxicology program workshop review. Environ Health Perspect 121(2):170

    PubMed Central  PubMed  Google Scholar 

  133. Trinidad DR, Pérez-Stable EJ, White MM, Emery SL, Messer K (2011) A nationwide analysis of US racial/ethnic disparities in smoking behaviors, smoking cessation, and cessation-related factors. Am J Public Health 101(4):699–706. doi:10.2105/AJPH.2010.191668

    PubMed Central  PubMed  Google Scholar 

  134. Fagan P, Moolchan ET, Lawrence D, Fernander A, Ponder PK (2007) Identifying health disparities across the tobacco continuum. Addiction 102(s2):5–29. doi:10.1111/j.1360-0443.2007.01952.x

    PubMed  Google Scholar 

  135. Moolchan ET, Fagan P, Fernander AF, Velicer WF, Hayward MD, King G, Clayton RR (2007) Addressing tobacco-related health disparities. Addiction 102(s2):30–42. doi:10.1111/j.1360-0443.2007.01953.x

    PubMed  Google Scholar 

  136. Haiman CA, Stram DO, Wilkens LR, Pike MC, Kolonel LN, Henderson BE, Le Marchand L (2006) Ethnic and racial differences in the smoking-related risk of lung cancer. N Engl J Med 354(4):333–342

    CAS  PubMed  Google Scholar 

  137. US Department of Health and Human Services (1998) 1998 Surgeon General’s report-tobacco use among U.S. racial/ethnic minority groups. US Department of Health and Human Services. US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, Atlanta, GA

    Google Scholar 

  138. Health CsOoSa (2012) Trends in current cigarette smoking among high school students and adults, United States, 1965–2011. http://www.cdc.gov/tobacco/data_statistics/tables/trends/cig_smoking/index.htm. Accessed 1 Feb 2014

  139. Fagan P, King G, Lawrence D, Petrucci SA, Robinson RG, Banks D, Marable S, Grana R (2011) Eliminating tobacco-related health disparities: directions for future research. Am J Public Health 94(2):211–217

    Google Scholar 

  140. Centers for Disease Control and Prevention (2010) Racial/ethnic disparities and geographic differences in lung cancer incidence—38 States and the District of Columbia, 1998–2006. Morb Mortal Wkly Rep 59(44):1434–1438

    Google Scholar 

  141. Centers for Disease Control and Prevention (2011) Quitting smoking among adults—United States, 2001–2010. Morb Mortal Wkly Rep 60(44):1513–1519

    Google Scholar 

  142. Fu SS, Kodl MM, Joseph AM, Hatsukami DK, Johnson EO, Breslau N, Wu B, Bierut L (2008) Racial/ethnic disparities in the use of nicotine replacement therapy and quit ratios in lifetime smokers ages 25 to 44 years. Cancer Epidemiol Biomarkers Prev 17:1640–1647. doi:10.1158/1055-9965.EPI-07-2726

    CAS  PubMed Central  PubMed  Google Scholar 

  143. Okuyemi KS, Program in Health Disparities Research UoMMS, USA, Department of Family Medicine and Community Health UoM, USA, Faseru B, Department of Preventive Medicine and Public Health UoKMC, USA, Sanderson Cox L, Department of Preventive Medicine and Public Health UoKMC, USA, Bronars CA, Department of Preventive Medicine and Public Health UoKMC, USA, Ahluwalia JS, Program in Health Disparities Research UoMMS, USA, Office of Clinical Research UoMAHC, USA, Department of Medicine UoMMS, USA. Relationship between menthol cigarettes and smoking cessation among African American light smokers. Addiction 102(12):1979–1986. doi:10.1111/j.1360-0443.2007.02010.x

  144. Cokkinides V (2008) Racial and ethnic disparities in smoking-cessation interventions: analysis of the 2005 National Health Interview Survey. Am J Prev Med 34(5):404–412. doi:10.1016/j.amepre.2008.02.003

    PubMed  Google Scholar 

  145. Centers for Disease Control and Prevention (2013) Tobacco product use among middle and high school students-United States, 2011 and 2012. Morb Mortal Wkly Rep 62(45):892–897

    Google Scholar 

  146. Centers for Disease Control and Prevention (2006) Racial/ethnic differences among youths in cigarette smoking and susceptibility to start smoking—United States, 2002–2004. Morb Mortal Wkly Rep 55(47):1275–1277

    Google Scholar 

  147. Centers for Disease Control and Prevention (2006) Use of cessation methods among smokers aged 16–24 years—United States, 2003. Morb Mortal Wkly Rep 55(50):1351–1354

    Google Scholar 

  148. Centers for Disease Control and Prevention (2009) High school students who tried to quit smoking cigarettes—United States, 2007. Morb Mortal Wkly Rep 58(16):428–431

    Google Scholar 

  149. Centers for Disease Control and Prevention (2005) Tobacco use, access, and exposure to tobacco in media among middle and high school students—United States, 2004. Morb Mortal Wkly Rep 54(12):297–301

    Google Scholar 

  150. Hsu R, Myers AE, Ribisl KM, Marteau TM (2013) An observational study of retail availability and in-store marketing of e-cigarettes in London: potential to undermine recent tobacco control gains? BMJ Open 3(12):e004085. doi:10.1136/bmjopen-2013-004085

    PubMed Central  PubMed  Google Scholar 

  151. Association AP (2007) Report of the APA task force on socioeconomic status. Association AP, Washington, DC

    Google Scholar 

  152. Pampel FC, Krueger PM, Denney JT (2010) Socioeconomic disparities in health behaviors. Annu Rev Sociol 36(1):349–370. doi:10.1146/annurev.soc.012809.102529

    PubMed Central  PubMed  Google Scholar 

  153. Dallman MF (2010) Stress-induced obesity and the emotional nervous system. Trends Endocrinol Metab 21(3):159–165

    CAS  PubMed Central  PubMed  Google Scholar 

  154. Holmes M, Ekkekakis P, Eisenmann J (2010) The physical activity, stress and metabolic syndrome triangle: a guide to unfamiliar territory for the obesity researcher. Obes Rev 11(7):492–507

    CAS  PubMed  Google Scholar 

  155. Richards JM, Stipelman BA, Bornovalova MA, Daughters SB, Sinha R, Lejuez C (2011) Biological mechanisms underlying the relationship between stress and smoking: state of the science and directions for future work. Biol Psychol 88(1):1–12

    PubMed Central  PubMed  Google Scholar 

  156. Sternthal MJ, Slopen N, Williams DR (2011) Racial disparities in health. Du Bois Rev. Social Science Research on Race 8(01):95–113

    Google Scholar 

  157. LaVeist TA (2005) Disentangling race and socioeconomic status: a key to understanding health inequalities. J Urban Health 82(2 Suppl 3):iii26–iii34

    PubMed Central  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Donna Spruijt-Metz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Spruijt-Metz, D. et al. (2014). Behavioral Differences Leading to Disparities in Energy Balance and Cancer. In: Bowen, D., Denis, G., Berger, N. (eds) Impact of Energy Balance on Cancer Disparities. Energy Balance and Cancer, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-319-06103-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06103-0_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06102-3

  • Online ISBN: 978-3-319-06103-0

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics