Education, psychosocial resources, and metabolic syndrome variables in Latinas

  • Linda C. Gallo
  • Karla Espinosa de los Monteros
  • Virginia Ferent
  • Jorge Urbina
  • Greg Talavera


Background: Individuals with low socioeconomic position (SEP) and Latino ethnicity are at high risk for the metabolic syndrome. In part, this may reflect that these populations benefit from fewer resilient resources to manage stressful environments, resulting in accentuated psychological and physiological costs (1).Purpose: We examined the direct effects of educational attainment (an indicator of SEP) and psychosocial resources on metabolic syndrome variables, and tested indirect effects of education, via resources.Methods: Participants were 145 middle-aged (M=47.07 years) Latinas recruited from health clinics along the California—Mexico border. Women completed assessments of demographics and resilient resources; metabolic syndrome variables were measured (blood pressure [BP], waist circumference [WC]) or abstracted from medical charts (lipids, glucose).Results: Women with less education reported fewer psychosocial resources (ΔR2=.14, p<.0001) and showed a higher risk profile on measures of BP, WC, and plasma glucose (3–7% of variance explained, all ps<.05), relative to those with more education. Resources independently predicted lower WCs (ΔR2=.07, p<.05). Education exerted an indirect effect (p<.05) through resources on WC, a core factor underlying the metabolic syndrome.Conclusions: Additional research is warranted to further explore the roles of resilient resources in relationships among SEP, metabolic risk factors, and chronic disease processes.


  1. (1).
    Gallo LC, Matthews KA: Understanding the association between socioeconomic status and physical health: Do negative emotions play a role?Psychological Bulletin. 2003,129(1):10-1.CrossRefPubMedGoogle Scholar
  2. (2).
    Adler NE, Boyce T, Chesney MA, et al.: Socioeconomic status and health. The challenge of the gradient.American Psychologist. 1994,49:15-4.CrossRefPubMedGoogle Scholar
  3. (3).
    Lynch J, Kaplan GA: Socioeconomic position. In Berkman LF, Kawachi I (eds),Social Epidemiology. New York: Oxford University Press, 2000, 13-5.Google Scholar
  4. (4).
    Gonzalez MA, Rodriguez AF, Calero JR: Relationship between socioeconomic status and ischaemic heart disease in cohort and case-control studies: 1960-993.International Journal of Epidemiology. 1998,27:350-58.CrossRefPubMedGoogle Scholar
  5. (5).
    Kaplan GA, Keil JE: Socioeconomic factors and cardiovascular disease: A review of the literature.Circulation. 1993,88(4, Pt 1):1973-998.PubMedGoogle Scholar
  6. (6).
    Mensah GA, Mokdad AH, Ford ES, Greenlund KJ, Croft JB: State of disparties in cardiovascular health in the United States.Circulation. 2005,111:1233-241.CrossRefPubMedGoogle Scholar
  7. (7).
    Brunner EJ, Hemingway H, Walker BR, et al.: Adrenocortical, autonomic, and inflammatory causes of the metabolic syndrome: Nested case-control study.Circulation. 2002,106:2659-665.CrossRefPubMedGoogle Scholar
  8. (8).
    Silventoinen K, Pankow J, Jousilahti P, Hu G, Tuomilehto J: Educational inequalities in the metabolic syndrome and coronary heart disease among middle-aged men and women.International Journal of Epidemiology. 2005,34:327-34.CrossRefPubMedGoogle Scholar
  9. (9).
    Räikkönen K, Kajantie E, Rautanen A, Eriksson JG: Insulin, glucose, and the metabolic syndrome. In Luecken L, Gallo LC (eds),Handbook of Physiological Methods in Health Psychology. Thousand Oaks, CA: Sage, 2007, 299-22.Google Scholar
  10. (10).
    Alberti KG, Zimmet P, Shaw J, IDF Epidemiology Task Force Consensus Group: The metabolic syndrome: A new worldwide definition.Lancet. 2005,366:1059-062.CrossRefPubMedGoogle Scholar
  11. (11).
    Grundy SM, Cleeman JI, Daniels SR, et al.: Diagnosis and management of the metabolic syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement.Circulation. 2005,112:2735-752.CrossRefPubMedGoogle Scholar
  12. (12).
    Hunt KJ, Resendez RG, Williams K, Haffner SM, Stern MP: National Cholesterol Education Program versus World Health Organization metabolic syndrome in relation to all-cause and cardiovascular mortality in the San Antonio Heart Study.Circulation. 2004,110:1251-257.CrossRefPubMedGoogle Scholar
  13. (13).
    Hillier TA, Rizzo JH, Pedula KL, et al.: Increased mortality associated with the metabolic syndrome in older women with diabetes.Diabetes Care. 2005,2:2258-260.CrossRefGoogle Scholar
  14. (14).
    Hanson RL, Imperatore G, Bennett PH, Knowler WC: Components of the “metabolic syndrome-and incidence of type 2 diabetes.Diabetes. 2002,51:3120-127.CrossRefPubMedGoogle Scholar
  15. (15).
    Laaksonen DE, Lakka HM, Niskanen LK, et al.: Metabolic syndrome and development of diabetes mellitus: Application and validation of recently suggested definitions of the metabolic syndrome in a prospective cohort study.American Journal of Epidemiology. 2002,156:1070-077.CrossRefPubMedGoogle Scholar
  16. (16).
    Gill H, Mugo M, Whaley-Connell A, Stump C, Sowers JR: The key role of insulin resistance in the cardiometabolic syndrome.American Journal of the Medical Sciences. 2005,330:290-94.CrossRefPubMedGoogle Scholar
  17. (17).
    Hutley L, Prins JB: Fat as an endocrine organ: Relationship to the metabolic syndrome.American Journal of the Medical Sciences. 2005,330:280-89.CrossRefPubMedGoogle Scholar
  18. (18).
    Kahn R, Buse J, Ferrannini E, Stern M: The metabolic syndrome: Time for a critical appraisal. Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes.Diabetologia. 2005,48:1684-699.CrossRefPubMedGoogle Scholar
  19. (19).
    Eckel RH, Grundy SM, Zimmet PZ: The metabolic syndrome.Lancet. 2005,365:1415-428.CrossRefPubMedGoogle Scholar
  20. (20).
    Despres JP: Is visceral obesity the cause of the metabolic syndrome?Annals of Medicine. 2006,38:52-3.CrossRefPubMedGoogle Scholar
  21. (21).
    Ford ES, Giles WH, Mokdad AH: Increasing prevalence of the metabolic syndrome among U.S. Adults.Diabetes Care. 2004,27:2444-449.CrossRefPubMedGoogle Scholar
  22. (22).
    Lorenzo C, Williams K, Hunt KJ, Haffner SM: Trend in the prevalence of the metabolic syndrome and its impact on cardiovascular disease incidence: The San Antonio Heart Study.Diabetes Care. 2006,29:625-30.CrossRefPubMedGoogle Scholar
  23. (23).
    Kubzansky LD, Berkman LF, Glass TA, Seeman TE: Is educational attainment associated with shared determinants of health in the elderly? Findings from the Macarthur Studies of Successful Aging.Psychosomatic Medicine. 1998,60:578-85.PubMedGoogle Scholar
  24. (24).
    Nordstrom CK, Diez Roux AV, Jackson SA, Gardin JM, Cardiovascular HS: The association of personal and neighborhood socioeconomic indicators with subclinical cardiovascular disease in an elderly cohort. The cardiovascular health study.Social Science and Medicine. 2004,59:2139-147.CrossRefPubMedGoogle Scholar
  25. (25).
    Rutledge T, Reis SE, Olson M, et al.: Socioeconomic status variables predict cardiovascular disease risk factors and prospective mortality risk among women with chest pain. The WISE Study.Behavior Modification. 2003,27:54-7.CrossRefPubMedGoogle Scholar
  26. (26).
    Brunner EJ, Marmot MG, Nanchahal K, et al.: Social inequality in coronary risk: central obesity and the metabolic syndrome. Evidence from the Whitehall II study.Diabetologia. 1997,40:1341-349.CrossRefPubMedGoogle Scholar
  27. (27).
    Park YW, Zhu S, Palaniappan L, et al.: The metabolic syndrome: Prevalence and associated risk factor findings in the US population from the third national health and nutrition examination survey, 1988-994.Archives of Internal Medicine. 2003,163:427-36.CrossRefPubMedGoogle Scholar
  28. (28).
    Wamala SP, Lynch J, Horsten M, et al.: Education and the metabolic syndrome in women.Diabetes Care. 1999,22:1999-003.CrossRefPubMedGoogle Scholar
  29. (29).
    Raikkonen K, Keltikangas-Jarvinen L, Adlercreutz H, Hautanen A: Psychosocial stress and the insulin resistance syndrome.Metabolism: Clinical & Experimental. 1996,45:1533-538.Google Scholar
  30. (30).
    Vitaliano PP, Scanlan JM, Zhang J, et al.: A path model of chronic stress, the metabolic syndrome, and coronary heart disease.Psychosomatic Medicine. 2002,64:418-35.PubMedGoogle Scholar
  31. (31).
    Chandola T, Brunner E, Marmot M: Chronic stress at work and the metabolic syndrome: Prospective study.British Medical Journal. 2006,332:521-25.CrossRefPubMedGoogle Scholar
  32. (32).
    Troxel WM, Matthews KA, Gallo LC, Kuller LH: Marital quality and occurrence of the metabolic syndrome in women.Archives of Internal Medicine. 2005,165:1022-027.CrossRefPubMedGoogle Scholar
  33. (33).
    McCaffery JM, Niaura R, Todaro JF, Swan GE, Carmelli D: Depressive symptoms and metabolic risk in adult male twins enrolled in the National Heart, Lung, and Blood Institute twin study.Psychosomatic Medicine. 2003,65:490-97.CrossRefPubMedGoogle Scholar
  34. (34).
    Nelson TL, Palmer RF, Pedersen NL: The metabolic syndrome mediates the relationship between cynical hostility and cardiovascular disease.Experimental Aging Research. 2004,30:163-77.CrossRefPubMedGoogle Scholar
  35. (35).
    Raikkonen K, Matthews KA, Kuller LH: The relationship between psychological risk attributes and the metabolic syndrome in healthy women: Antecedent or consequence?Metabolism: Clinical & Experimental. 2002,51:1573-577.Google Scholar
  36. (36).
    Adler NE, Snibbe AC: The role of psychosocial processes in explaining the gradient between socioeconomic status and health.Current Directions in Psychological Science. 2003,12:119-23.CrossRefGoogle Scholar
  37. (37).
    Matthews KA: A behavioral medicine perspective on aging and health. In Qualls SH, Abeles N (eds),Psychology and the Aging Revolution. Washington, DC: American Psychological Association, 2000, 197-06.CrossRefGoogle Scholar
  38. (38).
    Baltes PB: On the incomplete architechture of human ontogeny: Selection, optimization and compensation as foundation of developmental theory. In Staudinger UM, Lindenberger U (eds),Understanding Human Development: Dialogues with Lifespan Psychology. Dordrecht, Netherlands: Kluwer Academic, 2003, 17-3.Google Scholar
  39. (39).
    Hobfoll SE: Conservation of resources. A new attempt at conceptualizing stress.American Psychologist. 1989,44:513-24.CrossRefPubMedGoogle Scholar
  40. (40).
    McLeod JD, Kessler RC: Socioeconomic status differences in vulnerability to undesirable life events.Journal of Health and Social Behavior. 1990,31:162-72.CrossRefPubMedGoogle Scholar
  41. (41).
    Baum A, Garofalo JP, Yali AM: Socioeconomic status and chronic stress. Does stress account for SES effects on health? In Adler NE, Marmot M, McEwen BS, Stewart J (eds),Socioeconomic Status and Health in Industrial nations: Social, Psychological, and Biological Pathways. Annals of the New York Academy of Sciences, Vol. 896. New York: New York Academy of Sciences, 1999, 131-44.Google Scholar
  42. (42).
    Chen E, Matthews KA: Cognitive appraisal biases: An approach to understanding the relation between socioeconomic status and cardiovascular reactivity in children.Annals of Behavioral Medicine. 2001,23:101-11.CrossRefPubMedGoogle Scholar
  43. (43).
    Taylor SE, Seeman TE: Psychosocial resources and the SES-health relationship. In Adler NE, Marmot M, McEwen BS, Stewart J (eds),Socioeconomic Status and Health in Industrial Nations: Social, Psychological, and Biological Pathways. New York: New York Academy of Sciences, 1999, 210-25.Google Scholar
  44. (44).
    Hobfoll SE: Social and psychological resources and adaptation.Review of General Psychology. 2002,6:307-24.CrossRefGoogle Scholar
  45. (45).
    Taylor SE, Aspinwall LG: Mediating and moderating processes in psychosocial stress: Appraisal, coping, resistance, and vulnerability. In Kaplan HB (ed),Psychosocial Stress: Perspectives on Structure, Theory, Life-Course, and Methods. San Diego: Academic Press, 1996, 71-10.Google Scholar
  46. (46).
    Uchino BN, Cacioppo JT, Kiecolt-Glaser JK: The relationship between social support and physiological processes: A review with emphasis on underlying mechanisms and implications for health.Psychological Bulletin. 1996,119:488-31.CrossRefPubMedGoogle Scholar
  47. (47).
    Ramirez RR, de la Cruz P:The Hispanic Population in the United States: March 2002. Current Population Reports. Washington, DC: U.S. Census Bureau, 2003, 20-45.Google Scholar
  48. (48).
    Meigs JB, Wilson PW, Nathan DM, et al.: Prevalence and characteristics of the metabolic syndrome in the San Antonio Heart and Framingham Offspring Studies.Diabetes. 2003,52:2160-167.CrossRefPubMedGoogle Scholar
  49. (49).
    Ford ES: Prevalence of the metabolic syndrome defined by the International Diabetes Federation among adults in the U.S.Diabetes Care. 2005,28:2745-749.CrossRefPubMedGoogle Scholar
  50. (50).
    Goff DC, Jr. Ramsey DJ, Labarthe DR, Nichaman MZ: Acute myocardial infarction and coronary heart disease mortality among Mexican Americans and non-Hispanic whites in Texas, 1980 through 1989.Ethnicity and Disease. 1993,3:64-9.PubMedGoogle Scholar
  51. (51).
    Bild DE, Detrano R, Peterson D, et al.: Ethnic differences in coronary calcification: The Multi-Ethnic Study of Atherosclerosis (MESA).Circulation. 2005,111:1313-320.CrossRefPubMedGoogle Scholar
  52. (52).
    Reaven PD, Sacks J, Investigators for the Veterans Affairs Cooperative Study of Glycemic Control and Complications in Diabetes Mellitus Type: Reduced coronary artery and abdominal aortic calcification in Hispanics with type 2 diabetes.Diabetes Care. 2004,27:1115-120.CrossRefPubMedGoogle Scholar
  53. (53).
    Ninomiya JK, L’Italien G, Criqui MH: Association of the metabolic syndrome with history of myocardial infarction and stroke in the Third National Health and Nutrition Examination Survey.Circulation. 2004,109:42-6.CrossRefPubMedGoogle Scholar
  54. (54).
    Hunt ME, O’Malley PG, Feuerstein I, Taylor AJ: The relationship between the “metabolic score-and subclinical atherosclerosis detected with electron beam computed tomography.Coronary Artery Disease. 2003,14:317-22.CrossRefPubMedGoogle Scholar
  55. (55).
    Pandey DK, Labarthe DR, Goff DC, Chan W, Nichaman MZ: Community-wide coronary heart disease mortality in Mexican Americans equals or exceeds that in non-Hispanic whites: The Corpus Christi Heart Project.American Journal of Medicine. 2001,110:81-7.CrossRefPubMedGoogle Scholar
  56. (56).
    Grieco EM, Cassidy RC:Overview of Race and Hispanic Origin: Census 2000 Brief. C2KBR/01-1. Washington, DC: U.S. Census Bureau, 2002.Google Scholar
  57. (57).
    Finch BK, Hummer RA, Kolody B, Vega WA: The role of discrimination and acculturative stress in the physical health of Mexican-origin adults.Hispanic Journal of Behavioral Sciences. 2001,23:399-29.CrossRefGoogle Scholar
  58. (58).
    Cuellar I, Bastida E, Braccio SM: Residency in the United States, subjective well-being, and depression in an older Mexican-origin sample.Journal of Aging & Health. 2004,16:447-66.CrossRefGoogle Scholar
  59. (59).
    Schneider KT, Hitlan RT, Radhakrishnan P: An examination of the nature and correlates of ethnic harassment experiences in multiple contexts.Journal of Applied Psychology. 2000,85:3-2.CrossRefPubMedGoogle Scholar
  60. (60).
    Brondolo E, Kelly KP, Coakley V, et al.: The perceived ethnic discrimination questionnaire: Development and preliminary validation of a community version.Journal of Applied Social Psychology. 2005,35:335-65.CrossRefGoogle Scholar
  61. (61).
    Gallo LC, Matthews KA, Kuller LH, Sutton-Tyrrell K, Edmundowicz D: Educational attainment and coronary and aortic calcification in postmenopausal women.Psychosomatic Medicine. 2001,63:925-35.PubMedGoogle Scholar
  62. (62).
    Matthews KA, Sowers MF, Derby CA, et al.: Ethnic differences in cardiovascular risk factor burden among middle-aged women: Study of Women’s Health Across the Nation (SWAN).American Heart Journal. 2005,149:1066-073.CrossRefPubMedGoogle Scholar
  63. (63).
    Wamala SP, Mittleman MA, Schenck-Gustafsson K, Orth-Gomer K: Potential explanations for the educational gradient in coronary heart disease: A population-based case-control study of Swedish women.American Journal of Public Health. 1999,89:315-21.CrossRefPubMedGoogle Scholar
  64. (64).
    Krieger N, Williams DR, Moss NE: Measuring social class in US public health research: Concepts, methodologies, and guidelines.Annual Review of Public Health. 1997,18:341-78.CrossRefPubMedGoogle Scholar
  65. (65).
    Gallo LC, Matthews KA: Understanding the association between socioeconomic status and physical health: Do negative emotions play a role?Psychological Bulletin. 2003,129:10-1.CrossRefPubMedGoogle Scholar
  66. (66).
    Gallo LC, Bogart LM, Vranceanu AM: Socioeconomic status, resources, psychological experiences, and emotional responses: A test of the Reserve Capacity Model.Journal of Personality & Social Psychology. 2005,88:386-99.CrossRefGoogle Scholar
  67. (67).
    Matthews KA, Raikkonen K, Gallo LC, Kuller LH: Socioeconomic status, reserve capacity, and risk for the metabolic syndrome.Annals of Behavioral Medicine. 2006,31(Suppl.):S080.Google Scholar
  68. (68).
    Hobfoll SE:Stress, Culture, and Community: The Psychology and Philosophy of Stress. New York: Plenum, 1998.Google Scholar
  69. (69).
    O’Brien E, Waeber B, Parati G, Staessen J, Myers MG: Blood pressure measuring devices: Recommendations of the European Society of Hypertension.British Medical Journal. 2001,322:531-36.CrossRefPubMedGoogle Scholar
  70. (70).
    Chobanian AV, Bakris GL, Black HR, et al.: The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: The JNC 7 report.Journal of the American Medical Association. 2003,289:2560-572.CrossRefPubMedGoogle Scholar
  71. (71).
    Scheier MF, Carver CS, Bridges MW: Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): A reevaluation of the Life Orientation Test.Journal of Personality & Social Psychology. 1994,67:1063-078.CrossRefGoogle Scholar
  72. (72).
    Perczek R, Carver CS, Price AA, Pozo-Kaderman C: Coping, mood, and aspects of personality in Spanish translation and evidence of convergence with English versions.Journal of Personality Assessment. 2000,74:63-7.CrossRefPubMedGoogle Scholar
  73. (73).
    Kubzansky LD, Kubzansky PE, Maselko J: Optimism and pessimism in the context of health: Bipolar opposites or separate constructs?Personality & Social Psychology Bulletin. 2004,30:943-56.CrossRefGoogle Scholar
  74. (74).
    Mahler HIM, Kulik JA: Optimism, pessimism and recovery from coronary bypass surgery: Prediction of affect, pain and functional status.Psychology, Health & Medicine. 2000,5:347-58.CrossRefGoogle Scholar
  75. (75).
    Robinson-Whelen S, Kim C, MacCallum RC, Kiecolt-Glaser JK: Distinguishing optimism from pessimism in older adults: Is it more important to be optimistic or not to be pessimistic?Journal of Personality & Social Psychology. 1997,73:1345-353.CrossRefGoogle Scholar
  76. (76).
    Pearlin LI, Menaghan EG, Lieberman MA, Mullan JT: The stress process.Journal of Health and Social Behavior. 1981,22:337-56.CrossRefPubMedGoogle Scholar
  77. (77).
    Rini CK, Dunkel-Schetter C, Wadhwa P: Psychological adaptation and birth outcomes: The role of personal resources, stress, and sociocultural context in pregnancy.Health Psychology. 1999,18:333-45.CrossRefPubMedGoogle Scholar
  78. (78).
    Rosenberg M:Society and the Adolescent Self-Image. Princeton, NJ: Princeton University Press, 1965.Google Scholar
  79. (79).
    Cohen S, Mermelstein R, Kamarck T, Hoberman HM: Measuring the functional components of social support. In Sarason IG, Sarason BR (eds),Social Support: Theory Research and Applications. Dordrecht, the Netherlands: Martinus Nijholt, 1985, 73-4.Google Scholar
  80. (80).
    Bastardo YM, Kimberlin CL: Relationship between quality of life, social support and disease-related factors in HIV-infected persons in Venezuela.AIDS Care. 2000,12:673-84.CrossRefPubMedGoogle Scholar
  81. (81).
    Preacher KJ, Hayes AF: SPSS and SAS procedures for estimating indirect effects in simple mediation models.Behavior Research Methods, Instruments & Computers. 2004,36:117-31.Google Scholar
  82. (82).
    Preacher KJ, Hayes AF: Asymptotic and resampling strategies for assessing and comparing indirect effects in simple and multiple mediator models. Manuscript submitted for publication.Google Scholar
  83. (83).
    MacKinnon DP, Lockwood CM, Hoffman JM, West SG, Sheets V: A comparison of methods to test mediation and other intervening variable effects.Psychological Methods. 2002,7:83-04.CrossRefPubMedGoogle Scholar
  84. (84).
    MacKinnon DP, Lockwood CM, Williams J: Confidence limits for the indirect effect: Distribution of the product and resampling methods.Multivariate Behavioral Research. 2004,39:99-28.CrossRefGoogle Scholar
  85. (85).
    Shrout PE, Bolger N: Mediation in experimental and non-experimental studies: New procedures and recommendations.Psychological Methods. 2002,7:422-45.CrossRefPubMedGoogle Scholar
  86. (86).
    Centers for Disease Control and Prevention (CDC): Prevalence of diabetes among Hispanics-selected areas, 1998-002.MMWR - Morbidity & Mortality Weekly Report. 2004,53:941-44.Google Scholar
  87. (87).
    Almeida DM, Neupert SD, Banks SR, Serido J: Do daily stress processes account for socioeconomic health disparities?Journals of Gerontology Series B-Psychological Sciences & Social Sciences. 2005,60 Spec No 2:34-9.Google Scholar
  88. (88).
    Steptoe A, Feldman PJ: Neighborhood problems as sources of chronic stress: Development of a measure of neighborhood problems, and associations with socioeconomic status and health.Annals of Behavioral Medicine. 2001,23:177-85.CrossRefPubMedGoogle Scholar
  89. (89).
    Gallo LC, Smith TW, Cox CM: Socioeconomic status, psychosocial processes, and perceived health: An interpersonal perspective.Annals of Behavioral Medicine. 2005,31:109-19.CrossRefGoogle Scholar
  90. (90).
    Gallo LC, Bogart LM, Vranceanu AM, Walt LC: Job characteristics, occupational status, and ambulatory cardiovascular activity in women.Annals of Behavioral Medicine. 2004,28:62-3.CrossRefPubMedGoogle Scholar
  91. (91).
    Turner RJ, Avison WR: Status variations in stress exposure: Implications for the interpretation of research on race, socioeconomic status, and gender.Journal of Health and Social Behavior. 2003,44:488-05.CrossRefPubMedGoogle Scholar
  92. (92).
    Holahan CJ, Moos RH, Holahan CK, Cronkite RC: Resource loss, resource gain, and depressive symptoms: A 10-year model.Journal of Personality & Social Psychology. 1999,77:620-29.CrossRefGoogle Scholar
  93. (93).
    Wells JD, Hobfoll SE, Lavin J: When it rains, it pours: The greater impact of resource loss compared to gain on psychological distress.Personality & Social Psychology Bulletin. 1999,25:1172-182.CrossRefGoogle Scholar
  94. (94).
    Cohen S, Doyle WJ, Baum A: Socioeconomic status is associated with stress hormones.Psychosomatic Medicine. 2006,68:420.Google Scholar
  95. (95).
    Kristenson M, Eriksen HR, Sluiter JK, Starke D, Ursin H: Psychobiological mechanisms of socioeconomic differences in health.Social Science and Medicine. 2004,58:1511-522.CrossRefPubMedGoogle Scholar
  96. (96).
    Bjorntorp P: Do stress reactions cause abdominal obesity and comorbidities?Obesity Reviews. 2001,2:73-6.CrossRefPubMedGoogle Scholar
  97. (97).
    Rosmond R: Role of stress in the pathogenesis of the metabolic syndrome.Psychoneuroendocrinology. 2005,30:1-0.CrossRefPubMedGoogle Scholar
  98. (98).
    Jayo JM, Shively CA, Kaplan JR, Manuck SB: Effects of exercise and stress on body fat distribution in male cynomolgus monkeys.International Journal of Obesity & Related Metabolic Disorders: Journal of the International Association for the Study of Obesity. 1993,17:597-04.Google Scholar
  99. (99).
    Wallace JM, Shively CA, Clarkson TB: Effects of hormone replacement therapy and social stress on body fat distribution in surgically postmenopausal monkeys.International Journal of Obesity & Related Metabolic Disorders: Journal of the International Association for the Study of Obesity. 1999,23:518-27.CrossRefGoogle Scholar
  100. (100).
    Daly MC, Duncan GJ, McDonough P, Williams DR: Optimal indicators of socioeconomic status for health research.American Journal of Public Health. 2002,92:1151-157.CrossRefPubMedGoogle Scholar
  101. (101).
    Repetti RL, Taylor SE, Seeman TE: Risky families: Family social environments and the mental and physical health of offspring.Psychological Bulletin. 2002,128:330-66.CrossRefPubMedGoogle Scholar
  102. (102).
    Taylor SE, Lerner JS, Sage RM, Lehman BJ, Seeman TE: Early environment, emotions, responses to stress, and health.Journal of Personality. 2004,72:1365-393.CrossRefPubMedGoogle Scholar
  103. (103).
    Wadden TA, Womble LG, Stunkard AJ, Anderson DA: Psychosocial consequences of obesity and weight loss. In Wadden TA, Stunkard AJ (eds),Handbook of Obesity Treatment. New York: Guilford, 2002, 144-69.Google Scholar

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© The Society of Behavioral Medicine 2007

Authors and Affiliations

  • Linda C. Gallo
    • 1
  • Karla Espinosa de los Monteros
    • 1
  • Virginia Ferent
    • 2
  • Jorge Urbina
    • 3
  • Greg Talavera
    • 4
  1. 1.SDSU/UCSD Joint Doctoral Program in Clinical PsychologySan Diego State UniversitySan Diego
  2. 2.Department of PsychologyWashington State UniversityUSA
  3. 3.Department of PsychologyUniversity of NevadaLas Vegas
  4. 4.Graduate School of Public HealthSan Diego State UniversityUSA

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