Effect of Physical Activity on the Relation Between Psychosocial Factors and Cardiovascular Events (from the Multi-Ethnic Study of Atherosclerosis)




Depression, chronic stress, and low levels of social support have known associations with cardiovascular disease (CVD). Physical activity has been shown to promote psychological health, reduce the frequency of depressive symptoms, and is associated with fewer cardiovascular events in depressed subjects with known CVD. The purpose of the present study was to test the hypothesis that physical activity attenuates the association between psychosocial factors and incident CVD. The Multi-Ethnic Study of Atherosclerosis cohort includes 6,814 participants free of clinical CVD at baseline. Complete data on physical activity were available for 6,795 subjects (mean age 62 years; 47% men). Psychosocial factors were assessed using standardized questionnaires. Cox proportional hazard models were used to evaluate the association between psychosocial factors and CVD events and its modulation by physical activity. In models adjusted for age, gender, and race/ethnicity, both depression and chronic burden were associated with CVD events (hazard ratio [HR] = 1.38 [1.04 to 1.84], p = 0.028 for depression; HR = 1.15 [1.05 to 1.24], p = 0.001 for chronic burden). Adjusting for physical activity, the relation between depression, chronic burden, and CVD events was not significantly reduced (HR = 1.35 [1.02 to 1.80], p = 0.039 for depression; HR = 1.14 [1.05 to 1.23], p = 0.001 for chronic burden). Although physical activity is an important component of physical and psychological health and well-being, it did not significantly attenuate the strong relation between depression or chronic burden and incident CVD.


Psychosocial factors such as depression, chronic stress, and low levels of social support have known associations with cardiovascular disease (CVD) outcomes. Pathophysiologic mechanisms linking psychosocial dysfunction with elevated CVD risk include vascular inflammation, platelet activation, and autonomic dysfunction. Depression, perceived stress, and anxiety have also been associated with a variety of negative health behaviors such as poor diet, physical inactivity, and smoking. Health behaviors have also been shown to mediate the association between psychosocial factors and CVD events. In over 4,000 patients with established coronary heart disease (CHD), Ye et al. observed a significant association between depressive symptoms and subsequent myocardial infarction. This relation, however, became nonsignificant after adjusting for negative health behaviors. Health-promoting behaviors, such as leisure-time physical activity, are known to be cardioprotective and inversely associated with cardiovascular events. In adults with depression, physical activity interventions have been shown to significantly reduce the burden of depressive symptoms in patients with baseline CVD. Studies have also demonstrated a positive “buffering” effect of exercise on stress-induced blood pressure changes and telomere length. The extent to which participation in physical activity attenuates the association between negative psychosocial factors and subsequent CVD has not been well defined. Thus, the purpose of the present study was to test the hypothesis that physical activity attenuates the association between psychosocial factors and incident CVD events in a large, ethnically diverse population without baseline CVD.


Methods


The Multi-Ethnic Study of Atherosclerosis (MESA) is a longitudinal, population-based study of 6,814 men and women, initially free of clinical CVD, aged 45 to 84 years at baseline and recruited from 6 field centers: Baltimore, Maryland; Chicago, Illinois; Forsyth County, North Carolina; Los Angeles, California; New York, New York; and St. Paul, Minnesota. Specific racial/ethnic groups enrolled included non-Hispanic white/Caucasian, Black/African-American, Hispanic, and Chinese-American. Approximately, 50% of the participants enrolled were women. The baseline visit took place from July 2000 to September 2002. MESA was approved by institutional review boards at each site, and all participants gave written informed consent. The details of the MESA study design and recruitment strategy have been described in detail previously.


Information was obtained by questionnaire at the baseline examination in 2000 to 2002 regarding age, gender, race/ethnicity, medical history, and medication use. Current smoking was defined as having smoked in the past 30 days, whereas former smoker was defined as an individual who is not currently smoking but had smoked ≥100 cigarettes in his or her lifetime. Diabetes was defined as a fasting glucose ≥126 mg/dl or on hypoglycemic medication. Use of antihypertensive and other medications was based on clinic staff entry of prescribed medications. Resting blood pressure was measured 3 times in the seated position using a Dinamap model Pro 100 automated oscillometric sphygmomanometer (Critikon, Tampa, Florida), and the average of the second and third readings was recorded. Hypertension was defined as a systolic blood pressure ≥140 mm Hg, diastolic blood pressure ≥90 mm Hg, or use of medications together with a self-reported diagnosis of high blood pressure. Total and high-density lipoprotein cholesterol and triglyceride levels were measured from blood samples obtained after a 12-hour fast. Low-density lipoprotein cholesterol was calculated with the Friedewald equation.


Psychosocial factors were assessed using standardized questionnaires which were available in English, Spanish, or Chinese. The presence of depressive symptoms was assessed by the Center for Epidemiologic Studies–Depression Scale (CES-D). Scores range from 0 to 60, with greater scores indicating higher levels of depressive symptoms. Scores were dichotomized into <16 and ≥16. Any depression was considered to be present if the CES-D score was ≥16, whereas participants with CES-D scores ≥27 were considered to have moderate–severe depression. Those who used antidepressant medication and were not previously designated as depressed by their CES-D score were also considered to have depression, and this was assessed by the standard MESA medication inventory.


Chronic burden was assessed using the chronic burden scale which measures ongoing difficulty in 5 life domains (personal health, health of a close contact, job, finances, and relationships) lasting more than 6 months. Scores range from 0 to 5 with greater scores reflecting greater degrees of chronic burden. Moderate chronic burden was defined as the presence of ≥3 life stressors lasting at least 6 months in duration.


Social support was assessed using the ENRICHD Social Support Inventory which consists of 6 questions pertaining to the availability of emotional support (scores range from 6 to 30; Cronbach α 0.87). Greater scores reflect greater availability of emotional support. A score of ≤12 was consistent with low levels of social support.


Race or ethnicity was characterized using participant responses to questions based on the 2000 US Census. Family annual income and education were obtained from the baseline MESA questionnaire and categorized using the following categories: for income, <$20,000, $20,000 to $49,000, and ≥ $50,000; and for education, less than high school, completed high school, technical school certificate or associate degree, and completed college or more.


Self-reported physical activity was obtained at baseline examination 1 using the MESA Typical Week Physical Activity Survey which assesses the time spent in and frequency of various physical activities over the past month. Metabolic equivalents were assigned to each physical activity, and the total Metabolic equivalent minutes per week of physical activity was determined for each participant. Additional categories of physical activity were created, including intentional physical activity which includes the sum of walking for exercise, sports, dancing, and other conditioning activities that are typically associated with physical activity guidelines. For analysis purposes, the log of intentional physical activity was used.


At the time of analysis, the cohort had been followed for incident CVD events for a median of 10 years. At intervals of 9 to 12 months, a telephone interviewer contacted each participant to inquire about interim hospital admissions, cardiovascular outpatient diagnoses, and deaths. Trained personnel abstracted medical records suggesting possible cardiovascular events. Two physicians independently classified the events and assigned incidence dates. If, after review and adjudication, disagreements persisted, a full mortality and morbidity review committee made the final classification. For the purposes of this study, we used all CVD events as the end point. Specifically, the end point included myocardial infarction, CHD death, resuscitated cardiac arrest, angina, stroke, stroke death, or other CVD death for total CVD events.


Baseline descriptive statistics were reported as means and standard deviations for continuous variables and frequencies and percentages for discrete variables. Unadjusted comparisons were tested using the chi-square test and one-way analysis of variance. Cox proportional hazard models for CVD events were used to estimate the hazard ratios (HRs) of the groups defined by psychosocial variables while adjusting for potential confounders. Model 1 adjusted for age, gender, and race. Model 2 further adjusted for education level, income level, smoking, systolic blood pressure, cholesterol (total and high density), diabetes, body mass index, and medication use (aspirin, statin, and antihypertensive). We also tested for 2-way interactions between categories of physical activity and depression, chronic burden, and social support, after fully adjusting as in model 2. The proportional hazards assumption was evaluated by testing Schoenfeld residuals. Statistical significance was set at a 2-sided p <0.05. Analyses were performed in Stata version 11.2 (StataCorp LP, College Station, Texas).




Results


A total of 6,795 subjects had complete data on physical activity at baseline (examination 1), thus comprising the study cohort for this analysis (mean age 62 years, 47% men). The prevalence of depression and/or antidepressant medication use was 18.4%, moderate or greater chronic burden 12.2%, and low social support 3.9%. Tables 1 and 2 show the characteristics of the study participants at MESA examination 1 according to the presence or absence of depression, chronic burden, and social support. Psychosocial factors were found to be negatively although weakly correlated with physical activity ( r = −0.046, p <0.001 for physical activity and any depression; r = −0.029, p = 0.017 for physical activity and chronic burden; r = −0.039, p = 0.001 for physical activity and low social support).



Table 1

Baseline demographics by depression categories







































































































































































































Variable Any Depression
N (%) or Mean ± SD
Moderate/Severe Depression
N (%) or Mean ± SD
0
(n=5537)
+
(n=1244)
p-value 0
(n=6096)
+
(n=685)
p-value
Age (years) 62.4 ± 10.2 61.0 ± 10.4 < 0.001 62.4 ± 10.2 60.1 ± 10.0 < 0.001
Male 2810 (51%) 386 (31%) < 0.001 2997 (49%) 199 (29%) < 0.001
Ethnicity < 0.001 < 0.001
European American 2084 (38%) 524 (42%) 2244 (37%) 364 (53%)
Chinese American 721 (13%) 83 (7%) 768 (13%) 36 (5%)
African American 1600 (29%) 273 (22%) 1749 (29%) 124 (18%)
Hispanic American 1132 (20%) 364 (29%) 1335 (22%) 161 (24%)
Education Level (% > HS degree) 3599 (65%) 721 (58%) < 0.001 3871 (64%) 449 (66%) 0.260
Income Level (% High Income) 2225 (42%) 360 (30%) < 0.001 2348 (40%) 237 (36%) 0.025
Smoker 0.001 0.001
Never 2806 (51%) 604 (49%) 3103 (51%) 307 (45%)
Former 2044 (37%) 437 (35%) 2223 (37%) 258 (38%)
Current 683 (12%) 201 (16%) 766 (13%) 118 (17%)
Systolic Blood Pressure (mmHg) 126.6 ± 21.3 126.2 ± 22.3 0.576 126.8 ± 21.5 124.3 ± 20.9 0.004
Total Cholesterol (mg/dL) 193.8 ± 35.5 195.8 ± 36.9 0.078 193.9 ± 35.6 196.6 ± 36.7 0.062
HDL Cholesterol (mg/dL) 50.5 ± 14.7 52.7 ± 15.1 < 0.001 50.7 ± 14.8 53.0 ± 14.9 < 0.001
Body Mass Index (kg/M 2 ) 28.2 ± 5.4 29.0 ± 5.9 < 0.001 28.2 ± 5.4 29.3 ± 6.1 < 0.001
Diabetes Mellitus 673 (12%) 182 (15%) 0.016 764 (13%) 91 (13%) 0.557
Aspirin 1398 (25%) 296 (24%) 0.288 1520 (25%) 174 (25%) 0.796
Statin 884 (16%) 213 (17%) 0.319 958 (16%) 139 (20%) 0.002
Hypertension medication 2024 (37%) 496 (40%) 0.029 2243 (37%) 277 (40%) 0.062
Anti-depressant medication 0 (0%) 500 (40%) < 0.001 0 (0%) 500 (73%) < 0.001
Physical Activity 1574 ± 2355 1478 ± 2287 0.196 1560 ± 2344 1520 ± 2328 0.670

High school.


High income is defined as at least $50,000 total gross family income.


Intentional physical activity is analyzed.



Table 2

Baseline demographics by psychosocial factor levels































































































































































































































Chronic Burden
N (%) or Mean ± SD
Low Social Support
N (%) or Mean ± SD
0
(n=2583)
1-2
(n=3282)
3 or more
(n=818)
p-value 0
(n=6506)
+
(n=262)
p-value
Age (years) 63.4 ± 10.0 62.1 ± 10.3 58.0 ± 9.5 < 0.001 62.1 ± 10.2 62.2 ± 10.4 0.893
Male 1388 (54%) 1467 (45%) 305 (37%) < 0.001 3073 (47%) 116 (44%) 0.347
Ethnicity < 0.001 0.416
European American 923 (36%) 1347 (41%) 312 (38%) 2505 (39%) 98 (37%)
Chinese American 459 (18%) 291 (9%) 51 (6%) 779 (12%) 25 (10%)
African American 641 (25%) 912 (28%) 276 (34%) 1795 (28%) 72 (28%)
Hispanic American 560 (22%) 732 (22%) 179 (22%) 1427 (22%) 67 (26%)
Education Level (% > HS degree) 1572 (61%) 2122 (65%) 564 (69%) < 0.001 4160 (64%) 153 (58%) 0.065
Income Level (% High Income) 995 (40%) 1288 (41%) 278 (35%) 0.006 2523 (40%) 56 (22%) < 0.001
Smoker < 0.001 0.056
Never 1367 (53%) 1606 (49%) 386 (47%) 3287 (51%) 118 (45%)
Former 930 (36%) 1244 (38%) 272 (33%) 2377 (37%) 98 (37%)
Current 284 (11%) 430 (13%) 160 (20%) 838 (13%) 46 (18%)
Systolic Blood Pressure (mmHg) 127.2 ± 21.2 126.4 ± 21.5 124.8 ± 22.0 0.026 126.6 ± 21.5 124.8 ± 20.1 0.186
Total Cholesterol (mg/dL) 193.4 ± 34.5 194.6 ± 36.3 195.5 ± 37.0 0.261 194.1 ± 35.7 195.2 ± 36.6 0.641
HDL Cholesterol (mg/dL) 50.2 ± 14.6 51.4 ± 14.9 51.3 ± 15.1 0.008 50.9 ± 14.8 51.1 ± 14.4 0.833
Body Mass Index (kg/M 2 ) 27.6 ± 4.9 28.5 ± 5.6 29.7 ± 6.0 < 0.001 28.3 ± 5.5 28.4 ± 5.7 0.748
Diabetes Mellitus 271 (11%) 445 (14%) 128 (16%) < 0.001 820 (13%) 32 (12%) 0.853
Aspirin 674 (26%) 821 (25%) 176 (22%) 0.032 1628 (25%) 63 (24%) 0.732
Statin 439 (17%) 524 (16%) 118 (14%) 0.199 1060 (16%) 35 (13%) 0.205
Hypertension medication 946 (37%) 1207 (37%) 328 (40%) 0.172 2399 (37%) 112 (43%) 0.054
Anti-depressant medication 103 (4%) 278 (9%) 110 (14%) < 0.001 467 (7%) 29 (11%) 0.017
Physical Activity 1597 ± 2289 1522 ± 2340 1553 ± 2494 0.480 1557 ± 2340 1541 ± 2450 0.913

High school.


High income is defined as at least $50,000 total gross family income.


Intentional physical activity is analyzed.

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Nov 26, 2016 | Posted by in CARDIOLOGY | Comments Off on Effect of Physical Activity on the Relation Between Psychosocial Factors and Cardiovascular Events (from the Multi-Ethnic Study of Atherosclerosis)

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