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. Author manuscript; available in PMC: 2015 Jan 29.
Published in final edited form as: J Biosoc Sci. 2012 Aug 2;45(2):267–278. doi: 10.1017/S0021932012000429

Changes in waist circumference and body mass index in the US CARDIA cohort: Fixed-effect associations with self-reported experiences of racial/ethnic discrimination

Timothy J Cunningham 1, Lisa F Berkman 1, Ichiro Kawachi 1, David R Jacobs Jr 1, Teresa E Seeman 1, Catarina I Kiefe 1, Steven L Gortmaker 1
PMCID: PMC4310212  NIHMSID: NIHMS499540  PMID: 22856616

Abstract

Prior studies examining the association between self-reported experiences of racial/ethnic discrimination and obesity have had mixed results and primarily been cross-sectional. This study tests the hypothesis that an increase in self-reported experiences of racial/ethnic discrimination predicts gains in waist circumference and body mass index in Black and White women and men over eight years. In race/ethnicity- and gender-stratified models, this study examined whether change in self-reported experiences of racial/ethnic discrimination predicts changes in waist circumference and body mass index over time using a fixed-effect regression approach in SAS statistical software, providing control for both measured and unmeasured time-invariant covariates. Between 1992–93 and 2000–01, self-reported experiences of racial/ethnic discrimination decreased among 843 Black women (75% to 73%), 601 Black men (80% to 77%), 893 White women (30% to 23%), and 856 White men (28% to 23%). In fixed-effect regression models, controlling for all time-invariant covariates, social desirability bias, and changes in education and parity (women only) over time, an increase in self-reported experiences of racial/ethnic discrimination over time was significantly associated with an increase in waist circumference (b=1.09, 95% CI: 0.00–2.19, p=0.05) and an increase in body mass index (b=0.67, 95% CI: 0.19–1.16, p=0.007) among Black women. No associations were observed among Black men and White women and men. These findings suggest that an increase in self-reported experiences of racial/ethnic discrimination may be associated with increases in waist circumference and body mass index among Black women over time.

Introduction

Obesity is a leading cause of death in the United States and is associated with the incidence of various chronic health conditions including hypertension, type 2 diabetes, coronary heart disease, stroke, asthma, and certain cancers (Guh et al., 2009; Mokdad et al., 2004). Evidence suggests that abdominal obesity predicts some chronic health conditions independently of overall obesity (Ardern et al., 2003; Janssen, Katzmarzyk and Ross, 2002). Additionally, abdominal obesity, as indicated by waist circumference, has been reported to be a better predictor of cardiometabolic diseases, especially type 2 diabetes and coronary heart disease, as compared to obesity defined by body mass index (BMI) (Ardern et al., 2003; Iwao et al., 2001; Zhu et al., 2002). According to nationally representative data from the National Health and Nutrition Examination Surveys, both abdominal and overall obesity are on the rise among all in the United States, but increases over time in the prevalence of obesity are consistently higher in Blacks as compared to Whites (Flegal et al., 1998; Flegal et al., 2002; Okosun et al., 2004).

An important determinant of racial/ethnic disparities in population health in the United States and elsewhere is racial/ethnic discrimination (Paradies, 2006; Williams and Mohammed, 2009). In particular, self-reported experiences of racial/ethnic discrimination have been repeatedly associated with increased waist circumference and BMI across different racial/ethnic groups and at various stages of the life course (Chambers et al., 2004; Cozier et al., 2009; Gee et al., 2008; Hunte and Williams, 2009; Tull et al., 1999; Vines et al., 2007). Experiences of racial/ethnic discrimination may result in toxic stress that could lead to the pathogenesis of obesity through physiological responses to include the dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis (Bjorntorp, 2001; Clark et al., 1999), or through behavioral responses, such as stress-induced eating (Sims et al., 2008). HPA axis activation leads to a cascade of hormones, including hypothalamic corticotrophin releasing hormone, pituitary adrenocorticotropin, and finally glucocorticoids. Cortisol, a key glucocorticoid produced by the adrenal cortex, is associated with increases in appetite (Epel et al., 2001) and increased abdominal obesity (Epel et al., 2000; Rosmond, Dallman and Bjorntorp, 1998). Given this complicated network of feedback loops, the question arises as to the causal nature of the association of stressors and waist circumference and BMI.

Previous studies examining the association between self-reported experiences of racial/ethnic discrimination and waist circumference and BMI have been mainly cross-sectional (Chambers et al., 2004; Gee et al., 2008; Hunte and Williams, 2009; Shelton et al., 2009; Tull et al., 1999; Vines et al., 2007), thus are especially susceptible to confounding bias and cannot establish the temporal sequence of events. Two published studies have relied upon longitudinal data to examine the association between self-reported experiences of racial/ethnic discrimination and obesity-related outcomes (Cozier et al., 2009; Hunte, 2011). Cozier et. al. examined whether self-reported experiences of racial/ethnic discrimination at baseline predicted weight gain over eight years and Hunte et. al. examined whether decreasing, increasing, and high-stable self-reported experiences of racial/ethnic discrimination groups predicted gains in waist circumference over nine year. Even so, it remains unknown whether an increase in self-reported experiences of racial/ethnic discrimination predicts gains in waist circumference and body mass index over time.

This prospective analysis of the Coronary Artery Risk and Development in Young Adults (CARDIA) study tests the hypothesis that an increase in self-reported experiences of racial/ethnic discrimination predicts increases in waist circumference and BMI among Black women and men over eight years using panel data and a fixed-effects regression approach (Allison, 2005; Allison, 2009). This analysis also examined this association in White women and men. By modeling these associations with two or more measurement occasions for the exposure and outcomes, fixed-effect regression allows control over both measured and unmeasured potential confounders. This approach with multiple measurement occasions is regarded as a powerful tool for making causal inferences from non-experimental data.

Methods

Sample

CARDIA is multicenter study of cardiovascular risk development in young adulthood. In 1985–86, 5115 individuals, including 1491 Black women and 1153 Black men, were recruited from four communities: Birmingham, AL, Chicago, IL, Minneapolis, MN, and Oakland, CA. A stratified random sampling procedure was used to achieve balance at each center by gender, race/ethnicity (Black, White), age (18–24, 25–30 years), and educational attainment (high school degree or less, more than high school degree). Of eligible participants, 50% enrolled in the study. Additional details about study design, eligibility requirements, and recruitment are available elsewhere (Friedman et al., 1988). This analysis uses data collected in years 7 (1992–93) and 15 (2000–01). The follow-up rates for these years were 81% and 74%, respectively. The sample was limited to participants with complete data for self-reported experiences of racial/ethnic discrimination, waist circumference, BMI, and other covariates for those years. The Institutional Review Board at each center approved the CARDIA study protocol, and informed consent was obtained from each participant.

Waist circumference and body mass index

Waist circumference was twice measured by trained observers at the narrowest point of the waist during each of the examinations in years 7 and 15. The final measure for each year was the average value of these two assessments, rounded to the nearest half centimeter. BMI was also measured by trained observers during both examinations. All measurements were rounded to the nearest half centimeter. Weight was rounded to the nearest half pound. To calculate BMI, pounds were converted to kilograms, and BMI was calculated to equal weight (kilograms) divided by height squared (meters).

Self-reported experiences of racial/ethnic discrimination

To measure self-reported experiences of racial/ethnic discrimination, the Experiences of Discrimination (EOD) index was used, which is a psychometrically validated instrument with evidence of good construct validity, high internal consistency reliability, and test-retest reliability (Krieger et al., 2005). During the examinations in years 7 and 15, participants completed seven-item, situation versions of the EOD index. In the year 7 examination, participants were asked about “ever experienced discrimination, been prevented from doing something or been hassled or made to feel inferior … because of their race or color” in any of seven domains: “at school, getting a job, at work, getting housing, getting medical care, on the street or in a public setting, and from the police or in the courts.” In the year 15 examination, the phrase "been prevented from doing something" was dropped from the discrimination question, and the domain "from the police or in the courts" was replaced with "at home." Accordingly, the EOD index was examined as a six-item index using the same six domains in both years. At the year 7 examination, the Cronbach’s alpha (a measure of inter-item consistency, which ranges from 0 to 1) for this six-item index was 0.77 (Black women), 0.53 (White women), 0.76 (Black men), and 0.54 (White men). In that same order, at the year 15 examination, the Cronbach’s alpha was 0.78 (Black women), 0.60 (White women), 0.77 (Black men), and 0.57 (White men). Similar to a previous prospective analysis (Schulz et al., 2006), responses were combined into a dichotomous variable pertaining to experiences of racial/ethnic discrimination (0 = no and 1 = yes).

Covariates

Race/ethnicity, gender, and age were measured at baseline by an interviewer-administered questionnaire. Geographic differences in obesity prevalence are well-established (Wang and Beydoun, 2007). Therefore, geographic region was defined based on the four centers included in the study: South (Birmingham, AL) and Non-South (Chicago, IL; Minneapolis, MN; and Oakland, CA). Social desirability bias refers to a respondent’s tendency to respond in a manner that aligns with expected social norms, although responses may not be true. It was measured during year 15 with a 20-item version of the Crowne-Marlowe Social Desirability Scale, a commonly used assessment of social desirability bias (Crowne and Marlowe, 1960). Items included: “I have never intensely disliked anyone;” “I like to gossip at times.” Affirmative responses were summed. The range is 0–20, with higher scores signifying more social desirability bias. The Cronbach’s alpha for this scale was 0.72 (Black women), 0.76 (White women), 0.72 (Black men), and 0.76 (White men). Education was measured by self-report during the examinations in years 7 and 15 and assessed as a continuous variable based on the years of completed school. Because childbearing is associated with increases in waist circumference and BMI that may vary by race/ethnicity (Gunderson et al., 2004), parity group was measured by self-report of a previous pregnancy during the examinations in years 7 and 15 and assessed among women only.

Statistics

In race/ethnicity- and gender-stratified models, associations between change in self-reported experiences of racial/ethnic discrimination and changes in waist circumference (model A) and BMI (model B) were analyzed using the fixed-effects regression approach in SAS 9.2 (Allison, 2005). Fixed-effects regression models were adjusted for baseline age, geographic region, social desirability bias in year 15, and change variables for education, parity group (women only), and self-reported experiences of racial/ethnic discrimination. Demonstrating that change in the exposure variable predicts change in the outcome provides stronger evidence for a causal association compared to predictions involving the exposure variable collected at one measurement occasion (Shadish, Cook and Campbell, 2001). Of note, fixed-effects analyses permit the estimation of a fixed effect for each study participant and controls for both measured and unmeasured time-invariant covariates (Allison, 2009).

According to Allison (Allison, 2009), the equation for the fixed-effect regression is:

yit=μt+βxit+γzi+αi+εit …i=1,,n;t=1,T
  • yi = waist circumference for individual i on occasion t

  • μt = intercept that is allowed to vary with time.

  • β and γ = row vectors of coefficients

  • xit = column vector of variables that vary both over individuals and over time (such as self-reported experiences of racial/ethnic discrimination)

  • zi = column vector of variables that describe individual but do not vary over time

  • αi = all differences between individuals that are stable over time and not otherwise accounted for by the γzi

  • εi1 = random disturbance term

In the case of two measurement occasions, difference scores are produced by subtracting the first equation from the second, thus removing time-invariant components γzi and αi and creating the following equation:

(yi2yi1)=(μ2μ1)+β(xi2xi1)+(εi2εi1)

Regression using the above difference scores will produce unbiased coefficients. These coefficients are interpreted as average within-individual associations between change in an exposure and change in an outcome.

Results

Mean age was nearly 33 years for all CARDIA participants in year 7 and 16% to 28% lived in the South. For 843 Black women and 601 Black men, 75% reported any experiences of racial/ethnic discrimination in years 7 and 15. Black women and men were more than twice as likely to report any experiences of racial/ethnic discrimination compared to White women and men. Social desirability was higher among Black women and men, while education for years 7 and 15 was higher among White women and men. Among Black and White women and men, mean levels of waist circumference and BMI increased from year 7 to year 15.

Results from the fixed-effects regression models are shown in Table 2. Estimates of the coefficients in model a for Black women show a positive association between change in self-reported experiences of racial/ethnic discrimination and increase in waist circumference (b=1.09, 95% confidence interval [CI]: 0.00–2.19, p=0.05). That is, an increase in self-reported experiences of racial/ethnic discrimination was associated with an expected 1.09 increase in waist circumference over time, controlling for all time-invariant covariates. Similarly, estimates of the coefficients in model b for Black women show a positive association between change in self-reported experiences of racial/ethnic discrimination and an increase in BMI (b=0.67, 95% CI: 0.19–1.16, p=0.007). More specifically, an increase in self-reported experiences of racial/ethnic discrimination was associated with an expected 0.67 increase in BMI over time, controlling for all time-invariant covariates.

Table 2.

β-Coefficients (95% confidence intervals) for change in waist circumference and BMI regressed on change in self-reported experiences of racial/ethnic discrimination, by race/ethnicity-gender group: the CARDIA study (1992–2001)a

Black women Black men White women White men
Model A: waist circumference, Year 15 – Year 7 1.09* 0.02 0.53 −0.09
(0.00, 2.18) (−1.34, 1.38) (−0.53, 1.58) (−1.10, 0.92)
Model B: BMI, Year 15 – Year 7 0.67** 0.07 −0.12 −0.13
(0.19, 1.16) (−0.37, 0.52) (−0.55, 0.30) (−0.47, 0.20)
a

Fixed-effects regression models adjusted for baseline age, geographic region, social desirability bias, and change variables for education, parity (women only), and self-reported experiences of racial/ethnic discrimination,

*

p < 0.05,

**

p < 0.01

Estimates of the coefficients in model a for Black men and White women and men show no statistically significant association between change in self-reported experiences of racial/ethnic discrimination and a change in waist circumference over time. Likewise, estimates of the coefficients in model b for Black men and White women and men show no statistically significant association between change in self-reported experiences of racial/ethnic discrimination and a change in BMI over time.

Discussion

This is the first epidemiologic study to prospectively examine whether a change in self-reported experiences of racial/ethnic discrimination was associated with changes in both waist circumference and BMI in Black and White women and men. As hypothesized, an increase in self-reported experiences of racial/ethnic discrimination was associated with increases in waist circumference and BMI over time. However, these associations were only observed among Black women. Surprisingly, there was no evidence to demonstrate these associations among Black men.

In general, these findings are consistent with most other published studies, which typically report positive associations with obesity-related outcomes, such as increased weight change, waist circumference, and BMI. For example, Cozier et al. (2009), in a sample of Black women from the nationwide Black Women’s Health Study, found that weight gain was higher for higher baseline levels of self-reported experiences of racial/ethnic discrimination. Likewise, Gee et al. (2008) observed that self-reported experiences of racial/ethnic discrimination were associated with higher levels of BMI in a cross-sectional sample of Asian Americans from the National Latino and Asian American Study. Additionally, among Black women in Barbados, Tull et. al. (1999) observed that self-reported internalized racism was associated with waist circumference and waist-to-hip ratio.

Of note, these observations differ from at least three other studies. Vines et. al.(2007) found an inverse association between self-reported experiences of racial/ethnic discrimination and abdominal obesity among Black women. Shelton et. al.(Shelton et al., 2009) did not observe an association between self-reported experiences of racial/ethnic discrimination and body mass index among Blacks and Hispanics. Hunte and Williams (2009) observed that self-reported experiences of discrimination were associated with higher levels of abdominal obesity among ethnic Whites, but not other Whites, Blacks, or Hispanics from the Chicago Community Adult Health Study. Quite the opposite, this study found a positive association between change in self-reported experiences of racial/ethnic discrimination and change in waist circumference among Black women and did not observe any associations among White women and men. Variation in psychometric instruments used in these studies is one possible explanation for these contradictory findings. Every one of these three studies used a different psychometric instrument to assess self-reported experiences of racial/ethnic discrimination. Therefore, some of the observed differences may be due to measurement artifact. Hunte and Williams used a version of the Williams Everyday Discrimination Scale and Vines et. al. used the Telephone-Administered Perceived Racism Scale. Unlike the EOD index, which explicitly measures self-reported experiences of racial/ethnic discrimination in specified domains or institutions, utilized by Shelton et. al. and in this study, both of these scales focus more on psychosocial aspects of racial/ethnic discrimination.

Unexpectedly, change in self-reported experiences of racial/ethnic discrimination was not statistically associated with changes in waist circumference and in BMI among Black men over time. A definitive explanation for the observed gender differences is not readily available. One possible explanation for the observed gender differences relates to threat perception. Previous experimental and observational studies have observed that gender modifies the perception of threatening experiences and as a consequence the activation of the HPA axis (Dedovic et al., 2009; McClure et al., 2004; Stroud, Salovey and Epel, 2002). For example, Stroud et. al. (2002) demonstrated that women had higher HPA axis activation as reflected by higher cortisol level due to negative interpersonal events as compared to men. Alternatively, the authors found that men responded more physiologically to achievement-oriented stress. This has implications for these findings because experiences of racial/ethnic discrimination are a form of interpersonal rejection (Richman and Leary, 2009). Another plausible explanation is variation in coping response styles. Gender and gender identity appear to be associated with development and utilization of different types of coping response styles. Higher levels of masculinity are shown to be associated with higher levels of problem-focused coping, whereas higher levels of femininity are associated with higher levels of emotion-focused coping (Brems and Johnson, 1989; Renk and Creasey, 2003). Accordingly, the null findings among Black men may be due to greater use of problem-focused coping in response to experiences of racial/ethnic discrimination. In a previous study, problem-focused coping was shown to buffer against the adverse health consequences associated with self-reported experiences of racial/ethnic discrimination, while emotion-focused coping intensified those negative consequences (Noh and Kaspar, 2003). These possible mechanisms deserve further exploration in future studies.

The use of panel data allowed us to investigate whether a change in self-reported experiences of racial/ethnic discrimination was associated with changes in waist circumference and BMI over time controlling for all time-invariant covariates, social desirability bias, and changes in education and parity (women only). Fixed-effects regression models rely upon within-individual variation and not between-individual variation (Allison, 2009). By doing so, these models reduce bias by providing control for both measured and unmeasured time-invariant covariates because each individual serves as her or his own control. Since the random assignment of experiences of racial/ethnic discrimination in experimental studies would be unethical, fixed-effects regression may offer the strongest evidence available supporting the causal nature of the association of self-reported experiences of racial/ethnic discrimination and changes in waist circumference and BMI. This represents a noteworthy advance over the methods used in prior studies, which have been primarily cross-sectional.

In addition to the use of a fixed-effects regression approach, other strengths of this study warrant consideration. The population-based nature of the CARDIA study, the use of objective measures of waist circumference and BMI, and the inclusion of Black and White women and men in stratified analyses are also key strengths. Several limitations merit highlighting in the interpretation of these results as well. Since observational data are used in this analysis, causality cannot be established. Furthermore, sufficient power to observe a statistically significant association is often influenced by the precision with which data are measured. Since the Cronbach’s alpha for the EOD index was especially low for White women and men, this may have prohibited detection of associations between self-reported experiences of racial/ethnic discrimination and waist circumference and BMI. The EOD index may be too short or the items included in the index could have very little relevance for these groups (Nunnally and Bernstein, 1994). In addition, the ability to detect an association among White women and men as well as Black men in this study may have been hampered by nondifferential misclassification attributable to underreporting of self-reported experiences of racial/ethnic discrimination or recall bias. Nondifferential misclassification of dichotomous exposures results in bias toward the null (Szklo and Nieto, 2007)

In sum, these findings support the idea that there is an important prospective association between changes in self-reported experiences of racial/ethnic discrimination and changes in waist circumference and BMI among Black women. These results contribute a great deal to discussions implicating toxic stress in the development and progression of obesity. Given the unanticipated gender differences in the association observed among Black women and men, it is clear that more research is needed on racial/ethnic discrimination to understand how both Black women and men experience, perceive, and cope with it.

Table 1.

Characteristics of participants at Years 7 and 15, race/ethnicity-gender group: the CARDIA study (1992–2001)

Black women (N = 843) Black men (N = 601) White women (N = 893) White men (N = 856)
Mean (SD) Mean (SD) Mean (SD) Mean (SD)

Year 7 Year 15 Year 7 Year 15 Year 7 Year 15 Year 7 Year 15
Covariates
  Age 31.64 (3.85) 31.57 (3.68) 32.68 (3.34) 32.55 (3.32)
  Geographic region (%)
    Non-South 74.61 71.71 83.87 78.62
    South 25.39 28.29 16.13 21.38
  Social desirability biasa 12.70 (3.30) 12.36 (3.34) 10.91 (3.58) 10.73 (3.63)
  Education 13.91 (1.98) 14.17 (2.13) 13.64 (2.11) 13.74 (2.23) 15.49 (2.44) 15.83 (2.41) 15.43 (2.63) 15.70 (2.65)
  Change in education 0.26 (1.30) 0.10 (1.16) 0.33 (1.20) 0.27 (1.15)
  Parity group (women only) (%)
    0 births 18.86 12.69 37.29 25.08
    1 or more births 81.14 87.31 62.71 74.92
  Change in parity (women only) 0.06 (0.27) 0.12 (0.33)
Exposure
  Self-reported racial/ethnic discrimination (%)
    No 25.15 26.93 19.64 22.96 69.62 76.62 71.61 76.52
    Yes 74.85 73.07 80.36 77.04 29.90 23.18 28.39 23.48
  Change in racial/ethnic discrimination −0.02 (0.50) −0.03 (0.49) −0.07 (0.47) −0.05 (0.46)
Outcomes
  Waist circumference (cm) 84.37(15.41) 90.13(15.23) 88.37(12.55) 94.24(15.42) 76.37(12.80) 81.83(14.49) 88.48(10.59) 93.83(12.26)
  Change in waist circumference (cm) 5.77(8.14) 5.87(8.31) 5.46(7.57) 5.36(6.99)
  Body mass index (kg/m2) 28.94(7.44) 31.53(7.78) 27.18(5.19) 29.08(6.13) 24.98(5.85) 26.89(6.83) 26.11(4.14) 27.72(4.74)
  Change in body mass index (kg/m2) 2.59(3.64) 1.90(2.77) 1.91(3.02) 1.62(2.31)
a

The measure of social desirability bias was a 20-item version of Crowne-Marlowe Social Desirability Scale. Higher scores indicating more social desirability bias.

Acknowledgements

This work was supported by the US National Institutes of Health (contracts N01-HC-05187, N01-HC-45134, N01-HC-45204, N01-HC-45205, N01-HC-48047, N01-HC-48048, N01-HC-48049, N01-HC-48050, and N01-HC-95095 from the National Heart, Lung, and Blood Institute). NHLBI had input into the design and conduct of the CARDIA study. This work was partially supported by the Work, Family, and Health Network and the National Institute of Aging and National Institute of Child Health and Human Development for the support of this project under grant U01-5186989-01. This work was also partially supported by the John D. and Catherine T. MacArthur Foundation Research Network on Socioeconomic Status and Health. Dr. Timothy J. Cunningham was supported by the Association of Schools of Public Health/Centers for Disease Control and Prevention/Prevention Research Center Minority Health Fellowship Program. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the CDC.

References

  1. Allison PD. Fixed effects regression methods for longitudinal data using SAS. Cary, N.C.: SAS Institute; 2005. [Google Scholar]
  2. Allison PD. Fixed effects regression models. Los Angeles: SAGE; 2009. [Google Scholar]
  3. Ardern CL, Katzmarzyk PT, Janssen I, Ross R. Discrimination of health risk by combined body mass index and waist circumference. Obesity Research. 2003;11(1):135–142. doi: 10.1038/oby.2003.22. [DOI] [PubMed] [Google Scholar]
  4. Bjorntorp P. Do stress reactions cause abdominal obesity and comorbidities? Obes Rev. 2001;2(2):73–86. doi: 10.1046/j.1467-789x.2001.00027.x. [DOI] [PubMed] [Google Scholar]
  5. Brems C, Johnson ME. Problem-solving appraisal and coping style - the influence of sex-role orientation and gender. Journal of Psychology. 1989;123(2):187–194. [Google Scholar]
  6. Chambers EC, Tull ES, Fraser HS, Mutunhu NR, Sobers N, Niles E. The relationship of internalized racism to body fat distribution and insulin resistance among African adolescent youth. Journal of the National Medical Association. 2004;96(12):1594–1598. [PMC free article] [PubMed] [Google Scholar]
  7. Clark R, Anderson NB, Clark VR, Williams DR. Racism as a stressor for African Americans - A biopsychosocial model. American Psychologist. 1999;54(10):805–816. doi: 10.1037//0003-066x.54.10.805. [DOI] [PubMed] [Google Scholar]
  8. Cozier YC, Wise LA, Palmer JR, Rosenberg L. Perceived Racism in Relation to Weight Change in the Black Women's Health Study. Annals of Epidemiology. 2009;19(6):379–387. doi: 10.1016/j.annepidem.2009.01.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Crowne DP, Marlowe D. A new scale of social desirability independent of psychopathology. Journal of Consulting Psychology. 1960;24(4):349–354. doi: 10.1037/h0047358. [DOI] [PubMed] [Google Scholar]
  10. Dedovic K, Wadiwalla M, Engert V, Pruessner JC. The Role of Sex and Gender Socialization in Stress Reactivity. Developmental Psychology. 2009;45(1):45–55. doi: 10.1037/a0014433. [DOI] [PubMed] [Google Scholar]
  11. Epel E, Lapidus R, Mcewen B, Brownell K. Stress may add bite to appetite in women: a laboratory study of stress-induced cortisol and eating behavior. Psychoneuroendocrinology. 2001;26(1):37–49. doi: 10.1016/s0306-4530(00)00035-4. [DOI] [PubMed] [Google Scholar]
  12. Epel ES, Mcewen B, Seeman T, Matthews K, Castellazzo G, Brownell KD, Bell J, Ickovics JR. Stress and body shape: Stress-induced cortisol secretion is consistently greater among women with central fat. Psychosomatic Medicine. 2000;62(5):623–632. doi: 10.1097/00006842-200009000-00005. [DOI] [PubMed] [Google Scholar]
  13. Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960–1994. International Journal of Obesity. 1998;22(1):39–47. doi: 10.1038/sj.ijo.0800541. [DOI] [PubMed] [Google Scholar]
  14. Flegal KM, Carroll MD, Ogden CL, Johnson CL. Prevalence and trends in obesity among US adults, 1999–2000. Jama-Journal of the American Medical Association. 2002;288(14):1723–1727. doi: 10.1001/jama.288.14.1723. [DOI] [PubMed] [Google Scholar]
  15. Friedman GD, Cutter GR, Donahue RP, Hughes GH, Hulley SB, Jacobs DR, Liu K, Savage PJ. CARDIA - study design, recruitment, and some characteristics of the examined subjects. Journal of Clinical Epidemiology. 1988;41(11):1105–1116. doi: 10.1016/0895-4356(88)90080-7. [DOI] [PubMed] [Google Scholar]
  16. Gee GC, Ro A, Gavin A, Takeuchi DT. Disentangling the effects of racial and weight discrimination on body mass index and obesity among Asian Americans. American Journal of Public Health. 2008;98(3):493–500. doi: 10.2105/AJPH.2007.114025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH. The incidence of co-morbidities related to obesity and overweight: A systematic review and meta-analysis. Bmc Public Health. 2009;9:20. doi: 10.1186/1471-2458-9-88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Gunderson EP, Murtaugh MA, Lewis CE, Quesenberry CP, West DS, Sidney S. Excess gains in weight and waist circumference associated with childbearing: The Coronary Artery Risk Development in Young Adults Study (CARDIA) Int J Obes Relat Metab Disord. 2004;28(4):525–535. doi: 10.1038/sj.ijo.0802551. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Hunte HE. Association between perceived interpersonal everyday discrimination and waist circumference over a 9-year period in the Midlife Development in the United States cohort study. Am J Epidemiol. 2011;173(11):1232–1239. doi: 10.1093/aje/kwq463. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Hunte HER, Williams DR. The Association Between Perceived Discrimination and Obesity in a Population-Based Multiracial and Multiethnic Adult Sample. American Journal of Public Health. 2009;99(7):1285–1292. doi: 10.2105/AJPH.2007.128090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Iwao S, Iwao N, Muller DC, Elahi D, Shimokata H, Andres R. Does waist circumference add to the predictive power of the body mass index for coronary risk? Obesity Research. 2001;9(11):685–695. doi: 10.1038/oby.2001.93. [DOI] [PubMed] [Google Scholar]
  22. Janssen I, Katzmarzyk PT, Ross R. Body mass index, waist circumference, and health risk. Archives of Internal Medicine. 2002;162(18):2074–2079. doi: 10.1001/archinte.162.18.2074. [DOI] [PubMed] [Google Scholar]
  23. Krieger N, Smith K, Naishadham D, Hartman C, Barbeau EM. Experiences of discrimination: Validity and reliability of a self-report measure for population health research on racism and health. Social Science & Medicine. 2005;61(7):1576–1596. doi: 10.1016/j.socscimed.2005.03.006. [DOI] [PubMed] [Google Scholar]
  24. Mcclure EB, Monk CS, Nelson EE, Zarahn E, Leibenluft E, Bilder RM, Charney DS, Ernst M, Pine DS. A developmental examination of gender differences in brain engagement during evaluation of threat. Biological Psychiatry. 2004;55(11):1047–1055. doi: 10.1016/j.biopsych.2004.02.013. [DOI] [PubMed] [Google Scholar]
  25. Mokdad AH, Marks JS, Stroup DF, Gerberding JL. Actual causes of death in the United States, 2000. Jama-Journal of the American Medical Association. 2004;291(10):1238–1245. doi: 10.1001/jama.291.10.1238. [DOI] [PubMed] [Google Scholar]
  26. Noh S, Kaspar V. Perceived discrimination and depression: Moderating effects of coping, acculturation, and ethnic support. American Journal of Public Health. 2003;93(2):232–238. doi: 10.2105/ajph.93.2.232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Nunnally JC, Bernstein IH. Psychometric theory. 3rd ed. New York: McGraw-Hill; 1994. [Google Scholar]
  28. Okosun IS, Chandra KMD, Boev A, Boltri JM, Choi ST, Parish DC, Dever GEA. Abdominal adiposity in US adults: prevalence and trends, 1960–2000. Preventive Medicine. 2004;39(1):197–206. doi: 10.1016/j.ypmed.2004.01.023. [DOI] [PubMed] [Google Scholar]
  29. Paradies Y. A systematic review of empirical research on self-reported racism and health. International Journal of Epidemiology. 2006;35(4):888–901. doi: 10.1093/ije/dyl056. [DOI] [PubMed] [Google Scholar]
  30. Renk K, Creasey G. The relationship of gender, gender identity, and coping strategies in late adolescents. Journal of Adolescence. 2003;26(2):159–168. doi: 10.1016/s0140-1971(02)00135-5. [DOI] [PubMed] [Google Scholar]
  31. Richman LS, Leary MR. Reactions to Discrimination, Stigmatization, Ostracism, and Other Forms of Interpersonal Rejection: A Multimotive Model. Psychological Review. 2009;116(2):365–383. doi: 10.1037/a0015250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Rosmond R, Dallman MF, Bjorntorp P. Stress-related cortisol secretion in men: Relationships with abdominal obesity and endocrine, metabolic and hemodynamic abnormalities. Journal of Clinical Endocrinology & Metabolism. 1998;83(6):1853–1859. doi: 10.1210/jcem.83.6.4843. [DOI] [PubMed] [Google Scholar]
  33. Schulz AJ, Gravlee CC, Williams DR, Israel BA, Mentz G, Rowe Z. Discrimination, symptoms of depression, and self-rated health among African American women in Detroit: Results from a longitudinal analysis. American Journal of Public Health. 2006;96(7):1265–1270. doi: 10.2105/AJPH.2005.064543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Shadish WR, Cook TD, Campbell DT. Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton Mifflin; 2001. [Google Scholar]
  35. Shelton RC, Puleo E, Bennett GG, Mcneill LH, Sorensen G, Emmons KM. The association between racial and gender discrimination and body mass index among residents living in lower-income housing. Ethn Dis. 2009;19(3):251–257. [PMC free article] [PubMed] [Google Scholar]
  36. Sims R, Gordon S, Garcia W, Clark E, Monye D, Callender C, Campbell A. Perceived stress and eating behaviors in a community-based sample of African Americans. Eat Behav. 2008;9(2):137–142. doi: 10.1016/j.eatbeh.2007.06.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Stroud LR, Salovey P, Epel ES. Sex differences in stress responses: Social rejection versus achievement stress. Biological Psychiatry. 2002;52(4):318–327. doi: 10.1016/s0006-3223(02)01333-1. [DOI] [PubMed] [Google Scholar]
  38. Szklo M, Nieto FJ. Epidemiology : beyond the basics. 2nd ed. Sudbury, Mass.: Jones and Bartlett Publishers; 2007. [Google Scholar]
  39. Tull ES, Wickramasuriya T, Taylor J, Smith-Burns V, Brown M, Champagnie G, Daye K, Donaldson K, Solomon N, Walker S, Fraser H, Jordan OW. Relationship of internalized racism to abdominal obesity and blood pressure in Afro-Caribbean women. Journal of the National Medical Association. 1999;91(8):447–452. [PMC free article] [PubMed] [Google Scholar]
  40. Vines AI, Baird DD, Stevens J, Hertz-Picciotto I, Light KC, Mcneilly M. Associations of abdominal fat with perceived racism and passive emotional responses to racism in African American women. American Journal of Public Health. 2007;97(3):526–530. doi: 10.2105/AJPH.2005.080663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Wang Y, Beydoun MA. The obesity epidemic in the United States - Gender, age, socioeconomic, Racial/Ethnic, and geographic characteristics: A systematic review and meta-regression analysis. Epidemiologic Reviews. 2007;29:6–28. doi: 10.1093/epirev/mxm007. [DOI] [PubMed] [Google Scholar]
  42. Williams DR, Mohammed SA. Discrimination and racial disparities in health: evidence and needed research. Journal of Behavioral Medicine. 2009;32(1):20–47. doi: 10.1007/s10865-008-9185-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Zhu SK, Wang ZM, Heshka S, Heo MS, Faith MS, Heymsfield SB. Waist circumference and obesity-associated risk factors among whites in the third National Health and Nutrition Examination Survey: clinical action thresholds. American Journal of Clinical Nutrition. 2002;76(4):743–749. doi: 10.1093/ajcn/76.4.743. [DOI] [PubMed] [Google Scholar]

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