Skip directly to search Skip directly to A to Z list Skip directly to page options Skip directly to site content

Evaluating the Effects of Coping Style on Allostatic Load, by Sex: The Jackson Heart Study, 2000–2004

RESEARCH BRIEF — Volume 12 — October 1, 2015

Cristina A. Fernandez, MSEd; Eric B. Loucks, PhD; Kristopher L. Arheart, EdD; DeMarc A. Hickson, PhD; Robert Kohn, MD; Stephen L. Buka, ScD; Annie Gjelsvik, PhD

Suggested citation for this article: Fernandez CA, Loucks EB, Arheart KL, Hickson DA, Kohn R, Buka SL, et al. Evaluating the Effects of Coping Style on Allostatic Load, by Sex: The Jackson Heart Study, 2000–2004. Prev Chronic Dis 2015;12:150166. DOI: http://dx.doi.org/10.5888/pcd12.150166.

PEER REVIEWED

PEER REVIEWED

Abstract

The objective of this study was to examine the cross-sectional association between coping styles and allostatic load among African American adults in the Jackson Heart Study (2000–2004). Coping styles were assessed using the Coping Strategies Inventory-Short Form; allostatic load was measured by using 9 biomarkers standardized into z-scores. Sex-stratified multivariable linear regressions indicated that females who used disengagement coping styles had significantly higher allostatic load scores (β = 0.016; 95% CI, 0.001–0.032); no such associations were found in males. Future longitudinal investigations should examine why disengagement coping style is linked to increased allostatic load to better inform effective interventions and reduce health disparities among African American women.

Top

Objective

Allostatic load is a measure of physiological wear and tear on the body’s regulatory systems resulting from a cumulative exposure to stressors (1). Fortunately, buffering stress-mediating factors, such as positive coping styles, may be inversely associated with allostatic load; however, there is little information on the link between coping and allostatic load among African Americans (2,3). Using data from the Jackson Heart Study, we hypothesized that positive coping styles (ie, engagement) are inversely associated with allostatic load, and negative coping styles (ie, disengagement) are positively associated with allostatic load among African American adults, and that the results would vary by sex (3–6).

Top

Methods

Data were obtained by examining the baseline data of the Jackson Heart Study, a cohort of African American adults from the Jackson, Mississippi, tri-county area (N = 5,301; women, n = 3,360; men, n = 1,941). The Jackson Heart Study has been described in detail elsewhere (5). We excluded 2,059 study participants (39%) because of missing information on coping style or allostatic load.

Biomarkers used to conceptualize allostatic load were neuroendocrine (cortisol, ug/dL); metabolic (glycosylated hemoglobin A1c [%]; total cholesterol–high density lipoprotein cholesterol ratio [mg/dL]; waist circumference [cm]); autonomic (systolic blood pressure [SBP] [mmHg]; diastolic blood pressure [DBP] [mmHg]; heart rate [beats/min]); and immune (C-reactive protein [mg/dL]; white blood cell count [th/cmm]) (4,5). We standardized each biomarker into z scores, created domain-specific measures, and averaged the z scores to create a global allostatic load measure. Higher allostatic load scores indicate poorer overall functioning (1).

Coping styles were measured by using the Coping Strategies Inventory Short Form, a validated 16-item instrument used to measure engagement and disengagement coping styles. Engagement occurs when a person actively confronts a stressor (eg, “I tackle the problem head on.”). Disengagement occurs when a person avoids a stressor (eg, “I try not to think about the problem”). Each item was evaluated by using a 5-point Likert scale (1 = never, 2 = seldom, 3 = sometimes, 4 = often, and 5 = almost always). Scores within each 8-item sub-scale were summed (range: 8–40). Cronbach’s α is 0.59 for the disengagement scale and 0.70 for the engagement scale in the Jackson Heart Study cohort (6).

Covariates were chosen on the basis of previous research (1,3,4): age, education, smoking, alcohol consumption, and physical activity.

All analyses were stratified by sex because of physiological differences of allostatic load by sex (4,5,7,8). Multivariable linear regression analyses were used to determine whether coping styles were associated with allostatic load and its individual components. Analyses were conducted by using STATA/MP version 12.1 (StataCorp LP).

Top

Results

The analytic sample consisted of 2,068 women (mean age: 53.6 years; SD=12.5 years) and 1,174 men (mean age, 52.7 y; SD, 12.5 y) from the baseline assessment of the Jackson Heart Study (N = 3,242). Men had higher allostatic load scores than women (0.15 vs −0.19; P < .001). Coping style scores were similar for both sexes (Table 1).

The sex-stratified multivariable linear regression indicated that women reporting higher disengagement coping styles had significantly higher allostatic load scores (β = 0.016; 95% CI, 0.001–0.032; F=14.57), after adjusting for age, education, smoking status, alcohol use, and physical activity. No significant associations were observed among men or among engagement coping styles (Table 2).

We further examined the individual allostatic load components within the global allostatic load scores to determine which of the components were the primary drivers of the significant association between disengagement coping styles and allostatic load among women. Results indicated that women who used disengagement styles had significantly elevated SBP (β = 0.011; 95% CI, 0.001–0.02) and waist circumference (β = 0.014; 95% CI, 0.003–0.025). Additionally, women who used engagement styles had significantly elevated glycosylated hemoglobin A1c% (β = 0.009; 95% CI, 0–0.018). All other individual allostatic load components in either sex were not significant (Table 2). This indicated that of the allostatic load components, systolic blood pressure and waist circumference may be the primary drivers of associations; both have effect sizes outside the 95% confidence intervals.

Top

Discussion

Results indicated that women who avoided stressors (ie, had disengagement coping styles) were likely to have higher allostatic load levels than women who did not. No significant associations were found for men. Because African American women experience double jeopardy (ie, racism and sexism) and other chronic stressors (ie, familial responsibilities), this combination may subsume their ability to cope effectively with daily hassles, thereby increasing their susceptibility to elevated allostatic load (3,10). Examining more comprehensive biomarkers in studies with longitudinal designs, including potential mediators and moderators, may indicate the reasons for sex differences (5,11).

This study has some limitations that should be noted. The cross-sectional design limits our ability to draw causal inferences. Additionally, we had a large proportion of participants with missing information on coping style and allostatic load. Sensitivity analyses comparing those who were and were not included indicated no significant differences in terms of sex or coping styles, but those who were excluded had significantly higher allostatic load scores (0.18 vs –0.07; P < .001). However, the results did not markedly differ after we used multiple imputation methods for missing coping data.

This was the first community-based study to examine coping styles and allostatic load in African Americans. African American women who used disengagement coping styles had significantly higher allostatic load scores, which can result in long-term bodily strain (4). Future investigations could consider other potential covariates through which disengagement coping styles increase allostatic load, specifically, SBP and waist circumference, to help inform interventions and reduce health disparities. Additionally, if findings from this study are replicated and extended, it may suggest that teaching positive coping styles to African American women could prevent this maladaptive physiological functioning resulting from increased allostatic load. Because people with positive coping styles are likely to adapt to stressors effectively, using positive coping styles has the potential to build resiliency in African Americans.

Top

Acknowledgments

This research was supported in part by contracts no. HHSN268201300046C, no. HHSN268201300047C, no. HHSN268201300048C, no. HHSN268201300049C, and no. HHSN268201300050C from the National Heart, Lung, and Blood Institute and the National Institute on Minority Health and Health Disparities. This work was also supported in part by the University of Michigan Center for Integrative Approaches to Health Disparities (grant no. P60MD002249), which is funded by the National Institute on Minority Health and Health Disparities. This work was also supported in part by the National Institute of General Medical Sciences (grant no. R25GM083270) and the National Institute of Mental Health (grant no. 5F31MH104000-01).

Top

Author Information

Corresponding author: Cristina A. Fernandez, Department of Epidemiology, Brown University School of Public Health, Box G-S121-2, Providence, RI 02912. Telephone: 401-863-2396. Email: cristina_fernandez@brown.edu.

Author Affiliations: Eric B. Loucks, Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island; Kristopher L. Arheart, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida; DeMarc A. Hickson, Department of Medicine, University of Mississippi Medical Center and Center for Research, Evaluation, and Environmental and Policy Change, My Brother's Keeper, Inc, Jackson, Mississippi; Robert Kohn, Warren Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior , Providence, Rhode Island; Stephen L. Buka, Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island; Annie Gjelsvik, Department of Epidemiology, Brown University School of Public Health and Department of Pediatrics and Hasbro Children’s Hospital, Providence, Rhode Island

Top

References

  1. McEwen BS, Wingfield JC. The concept of allostasis in biology and biomedicine. Horm Behav 2003;43(1):2–15.
  2. Taylor SE, Stanton AL. Coping resources, coping processes, and mental health. Annu Rev Clin Psychol 2007;3(1):377–401. CrossRef PubMed
  3. Geronimus AT, Hicken M, Keene D, Bound J. “Weathering” and age patterns of allostatic load scores among blacks and whites in the United States. Am J Public Health 2006;96(5):826–33. CrossRef PubMed
  4. Seeman TE, Singer BH, Rowe JW, Horwitz RI, McEwen BS. Price of adaptation — allostatic load and its health consequences. MacArthur studies of successful aging. Arch Intern Med medicine 1997;157(19):2259–68. Erratum in: Arch Intern Med 1999 Jun 14;159(11):1176.
  5. Hickson DA, Diez Roux AV, Gebreab SY, Wyatt SB, Dubbert PM, Sarpong DF, et al. Social patterning of cumulative biological risk by education and income among African Americans. Am J Public Health 2012;102(7):1362–9. CrossRef PubMed
  6. Addison CC, Campbell-Jenkins BW, Sarpong DF, Kibler J, Singh M, Dubbert P, et al. Psychometric evaluation of a Coping Strategies Inventory Short-Form (CSI-SF) in the Jackson Heart Study cohort. Int J Environ Res Public Health 2007;4(4):289–95. CrossRef PubMed
  7. Loucks EB, Rehkopf DH, Thurston RC, Kawachi I. Socioeconomic disparities in metabolic syndrome differ by gender: evidence from NHANES III. Ann Epidemiol 2007;17(1):19–26. CrossRef PubMed
  8. Geronimus AT, Hicken M, Keene D, Bound J. “Weathering” and age patterns of allostatic load scores among blacks and whites in the United States. Am J Public Health 2006;96(5):826–33. CrossRef PubMed
  9. Dubbert PM, Carithers T, Ainsworth BE, Taylor HA Jr, Wilson G, Wyatt SB. Physical activity assessment methods in the Jackson Heart Study. Ethn Dis 2005;15(4 Suppl 6):S6–56–61.
  10. Geronimus AT. Understanding and eliminating racial inequalities in women's health in the United States: the role of the weathering conceptual framework. J Am Med Womens Assoc 2001;56(4):133–6, 149–50.
  11. Mwendwa DT, Sims RC, Madhere S, Thomas J, Keen LD 3d, Callender CO, et al. The influence of coping with perceived racism and stress on lipid levels in African Americans. J Natl Med Assoc 2011;103(7):594–601. PubMed

Top

Tables

Return to your place in the textTable 1. Selected Cohort (N = 3,242) Characteristics, Stratified By Sex, Jackson Heart Study, 2000–2004
Characteristic Men Women
Total n, (%) 1,174 (36.2) 2,068 (63.8)
Age, y, mean (SD) 52.7 (12.5) 53.6 (12.5)
Education, n (%)
Less than a high school diploma 180 (15.3) 277 (13.4)
High school diploma or GED 487 (41.5) 879 (42.5)
More than a high school diploma 502 (42.8) 910 (44.0)
Data missing 5 (0.4) 2 (0.1)
Ever smoked, n (%)
Yes 471 (40.1) 508 (24.6)
No 702 (59.8) 1,557 (75.3)
Data missing 1 (0.1) 3 (0.2)
Consumed alcohol in past 12 months, n (%)
Yes 708 (60.3) 815 (39.4)
No 462 (39.4) 1,243 (60.1)
Data missing 4 (0.3) 10 (0.5)
Physical activitya, n (%)
Yes 291 (24.8) 393 (19.0)
No 882 (75.1) 1,675 (81.0)
Data missing 1 (0.1) 0 (0)
Allostatic load scoreb, mean (SD) 0.15 (1.43) -0.19 (1.42)
Coping styles, mean (SD)
Engagement 27.9 (4.5) 28.3 (4.6)
Disengagement 19.2 (4.0) 20.4 (3.9)

Abbreviations: GED, general education development; SD, standard deviation.
a Physical activity was measured as a summary score of the frequency and duration of watching television; walking or bicycling to work, to school, or on errands; and physical exercise (modified from the Baecke physical activity questionnaire) (9).
b Allostatic load levels are presented as z scores.

 

Return to your place in the textTable 2. Multivariable Linear Regressions Estimating Allostatic Load (AL) Score by Cohort (N = 3,242) Coping Styles, Stratified by Sex, Jackson Heart Study, 2000–2004
Model Men Women
Engagement Disengagement Engagement Disengagement
Model 1: global AL z scorea, ß (95% CI) 0.007 (-0.011 to 0.025) -0.001 (-0.021 to 0.019) -0.002 (-0.015 to 0.010) 0.016 (0.001 to 0.032b)
Adjusted R2 0.045 0.043 0.043 0.044
F 8.8c 8.66c 14.50c 14.57c
Model 2, Individual AL componentsd, ß (95% CI)
Model 2a, Systolic blood pressure 0.004 (-0.008 to 0.016) 0.003 (-0.010 to 0.016) -0.004 (-0.013 to 0.004) 0.011 (0.001 to 0.020b)
Model 2b, Diastolic blood pressure 0.005 (-0.008 to 0.018) -0.003 (-0.017 to 0.012) -0.001 (-0.010 to 0.007) 0.010 (0.000 to 0.021)
Model 2c, Heart rate -0.010 (-0.023 to 0.004) -0.007 (-0.022 to 0.008) -0.001 (-0.010 to 0.008) 0.006 (-0.005 to 0.017)
Model 2d, Cortisol 0.006 (-0.006 to 0.018) -0.003 (-0.017 to 0.010) 0.001 (-0.008 to 0.009) 0.003 (-0.008 to 0.013)
Model 2e, Hemoglobin A1c, % -0.003 (-0.016 to 0.010) 0.005 (-0.010 to 0.019) 0.009 (0 to 0.018b) -0.002 (-0.012 to 0.009)
Model 2f, Waist circumference 0.005 (-0.007 to 0.017) 0.007 (-0.007 to 0.020) -0.007 (-0.016 to 0.003) 0.014 (0.003 to 0.025b)
Model 2g, Ratio, total cholesterol to HDL cholesterol 0.002 (-0.009 to 0.014) 0.002 (-0.011 to 0.014) -0.003 (-0.012 to 0.005) -0.003 (-0.013 to 0.007)
Model 2h, White blood count -0.004 (-0.021 to 0.013) -0.005 (-0.024 to 0.013) 0.003 (-0.005 to 0.011) 0.006 (-0.003 to 0.016)
Model 2i, C-reactive protein 0.004 (-0.003 to 0.012) 0.002 (-0.006 to 0.010) -0.001 (-0.009 to 0.007) 0.003 (-0.006 to 0.013)

Abbreviations: CI, confidence interval; HDL, high density lipoprotein.
a Outcome for model 1 is global allostatic load adjusted for age, education, smoking status, alcohol consumption, and physical activity.
b P < .05.
c P < .001
d Outcomes for models 2a through 2i are individual allostatic load components adjusted for age, education, smoking status, alcohol consumption, and physical activity.

Top

The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions.
Format:
Top