Introduction
Mental health disorders are a leading cause of morbidity in the United States, with nearly one in five adults living with a mental health disorder (mental, behavioral, or emotional disorder in the past year of sufficient duration to meet DSM-IV criteria [excluding developmental disorders and substance use disorders]) in 2021 [
1]. 17% of Black Americans self-reported a mental health disorder in 2020 [
2]. Rates of major depression are increasing in Black adults, who are more likely than White adults to experience persistent symptoms of emotional distress, such as sadness, hopelessness, and feeling that they have to dedicate extra effort to everything they do [
3]. Currently, there exists a serious underutilization of mental health services including outpatient mental health visits and prescription psychiatric medications, among Black Americans, particularly Black men [
4,
5]. The underutilization of services, care and medications is made worse by the lack of Black mental health providers. Black providers only represent 3% of total psychiatry faculty [
6]. In 2015, only 4% of psychologists were Black [
7]. The lack of Black mental health providers is key barrier to effective care, as client-rated measures of therapist cultural competence correlate strongly with treatment outcomes [
8]. Cultural adaptations to mental health treatments typically prove more effective than treatment as usual with clients of color in North America [
8]. The deficit in the knowledge and skills in treating depression in Black Americans, in addition to inadequate and insufficient data on Black Americans, contributes to the challenges of under diagnoses, misdiagnosis, and under treatment of depression and is a product of structural racism [
9,
10].
Mental health has significant implications for cardiovascular health in Black Americans. Depression [
11,
12] and perceived psychosocial stress [
13‐
15], in particular, are associated with increased risk of cardiovascular disease and the combined effects of depression and perceived psychosocial stress may be even more ominous [
16,
17].
Since the establishment of the American Heart Association’s Life’s Simple 7 (LS7) framework [
18], which identified 7 factors correlated with cardiovascular health – three health behaviors (diet, smoking, and physical activity) and four biometric measures (body mass index, blood pressure, blood glucose and cholesterol) – analyses have suggested a graded association of depression and/or stress with worse cardiovascular health defined by LS7 and vice versa, with a stronger relationship with behavioral factors [
19]. However, there remains a paucity of evidence examining the association of mental health with LS7 specific to community-dwelling Black men or interventions to address mental health in the context of LS7. This is particularly troubling, given that Black men have the lowest attainment of cardiovascular health [
20], shortest life-expectancy of any race/sex group [
21], and a lack of community-based participatory research interventions aimed at improving LS7 [
22]. Community-based participatory research was created to advance health equity and promote community empowerment in marginalized communities, while applying scientific rigor and principles [
23]. Community-based participatory research is focused on developing collaborative partnerships facilitating equal input from the community and its stakeholders throughout planning, implementation, evaluation, and dissemination of research [
23].
With the goal of reducing premature death from chronic disease and improving holistic health, the African American Male Wellness Agency (AAMWA) was founded in 2004, initiating multiple initiatives and partnerships that led to evaluating and examining LS7 cardiovascular health [
24‐
26]. Given the poor levels of cardiovascular health at African American Male Wellness Walks [
24], clinician-scientists from The Ohio State University co-designed and implemented a pilot 24-week community-based lifestyle intervention, Black Impact, focused on health education, physical activity and addressing non-medical health-related social needs, in partnership with AAMWA and many community organizations with the aim of improving the attainment of LS7 in Black men living in a large Midwestern city [
27]. Black Impact improved LS7 scores at weeks 12 and 24 compared to baseline [
27].
Black Impact included components that may impact mental health including sessions discussing mental health topics, weekly physical activity [
28,
29] and organic development of social networks [
30‐
33]. Given the importance of examining and addressing the multi-faceted harms from poor mental health ranging from direct consequences such as suicide to worse cardiovascular health and cardiovascular outcomes [
19,
34‐
41], this manuscript examines the effect of Black Impact on depressive symptoms and perceived stress among community-dwelling Black men. The authors hypothesized improvements in mental health from baseline to 12 and 24 weeks and an association between baseline and change in mental health with attainment of cardiovascular health over the 24-week intervention.
Results
The baseline demographics of 71 of the 74 Black Impact participants with data on PHQ-2 at baseline are shown in Table
1. The mean age of participants was 52 years (standard deviation [SD] 10.5). All participants had a high school degree or equivalent and 85% were employed, 73% had private insurance. The income of participants was diverse, ranging from <$20,000 (6%) to ≥$75,000 (23%). At baseline the mean CES-D was 10.9 (SD 8.98), 25.4% of participants had a CES-D ≥16, indicative of potential depression. The mean PHQ-2, PSS and SF-36 MCS were 0.99 (SD 1.50), 14.5 (SD 7.28) and 45.4 (SD 15.3), respectively. There was no difference in most sociodemographic measures and baseline CVH scores across PHQ-2 categories of 0 vs. ≥1. However, there was a difference in the AHA categorization of physical activity with higher levels among individuals with a PHQ-2 score of 0 vs. 1+ (p = 0.016). Significant correlation existed between baseline mental health measures, but there was no correlation of baseline mental health measures with baseline CVH scores in unadjusted linear models in Supplemental Tables
1 and negligible Pearson correlations in Supplemental Table
2.
Table 1
Characteristics of Participants who answered CMS PHQ-2 survey in Black Impact Pilot Study stratified by PHQ-2 Score 0 vs. 1+
Age | 52.0 (10.5) | 53.0 (10.2) | 50.7 (10.9) | 0.363 |
Marital Status | | | | 0.462 |
Married | 38 (53.5%) | 25 (59.5%) | 13 (44.8%) | |
Widowed | 1 (1.4%) | 1 (2.4%) | 0 (0%) | |
Divorced | 13 (18.3%) | 6 (14.3%) | 7 (24.1%) | |
Separated | 1 (1.4%) | 1 (2.4%) | 0 (0%) | |
Never Married | 18 (25.4%) | 9 (21.4%) | 9 (31.0%) | |
Number of Children | 3.03 (1.56) | 3.26 (1.52) | 2.69 (1.58) | 0.129 |
Annual Income | | | | 0.187 |
<$20,000 | 4 (5.6%) | 4 (9.5%) | 0 (0%) | |
$20,000-$49,999 | 19 (26.8%) | 7 (16.7%) | 12 (41.4%) | |
$50,000-$74,999 | 22 (31.0%) | 11 (26.2%) | 11 (37.9%) | |
>= $75,000 | 16 (22.5%) | 12 (28.6%) | 4 (13.8%) | |
Missing | 10 (14.1%) | 8 (19.0%) | 2 (6.9%) | |
Employment Status | | | | 0.236 |
Employed | 60 (84.5%) | 33 (78.6%) | 27 (93.1%) | |
Retired | 7 (9.9%) | 6 (14.3%) | 1 (3.4%) | |
Unemployed | 4 (5.6%) | 3 (7.1%) | 1 (3.4%) | |
Education | | | | 0.518 |
High School or equivalent | 7 (9.9%) | 6 (14.3%) | 1 (3.4%) | |
Some College | 27 (38.0%) | 13 (31.0%) | 14 (48.3%) | |
Vocational/Technical School (2 year) | 7 (9.9%) | 4 (9.5%) | 3 (10.3%) | |
College Graduate (4 year) | 18 (25.4%) | 11 (26.2%) | 7 (24.1%) | |
Master’s Degree (MS) | 11 (15.5%) | 7 (16.7%) | 4 (13.8%) | |
Professional Degree (MD,JD, etc.) | 1 (1.4%) | 1 (2.4%) | 0 (0%) | |
Health Insurance Status | | | | 0.480 |
Private insurance | 52 (73.2%) | 32 (76.2%) | 20 (69.0%) | |
Medicaid/Medicare | 6 (8.5%) | 3 (7.1%) | 3 (10.3%) | |
Military insurance | 4 (5.6%) | 1 (2.4%) | 3 (10.3%) | |
No insurance | 9 (12.7%) | 6 (14.3%) | 3 (10.3%) | |
Systolic Blood Pressure (mmHg) | 139 (20.1) | 139 (18.0) | 140 (23.2) | 0.943 |
Missing | 1 (1.4%) | 0 (0%) | 1 (3.4%) | |
Diastolic Blood Pressure (mmHg) | 87.7 (13.4) | 87.3 (11.6) | 88.3 (16.0) | 0.749 |
Missing | 1 (1.4%) | 0 (0%) | 1 (3.4%) | |
Blood Glucose (mmol/L) | 6.9 (3.0) | 7.3 (3.6) | 6.4 (2.0) | 0.197 |
Total Cholesterol (mmol/L) | 4.1 (1.1) | 4.2 (1.3) | 4.0 (0.9) | 0.555 |
Body Weight (pounds) | 238 (64.8) | 253 (70.4) | 216 (48.9) | 0.017 |
Body Mass Index (kg/m2) | 33.2 (7.52) | 34.8 (7.81) | 30.9 (6.54) | 0.030 |
High Cholesterol Medication | | | | 0.218 |
Yes | 19 (26.8%) | 14 (33.3%) | 5 (17.2%) | |
No | 52 (73.2%) | 28 (66.7%) | 24 (82.8%) | |
Diabetes Medication | | | | 0.304 |
Yes | 18 (25.4%) | 13 (31.0%) | 5 (17.2%) | |
No | 53 (74.6%) | 29 (69.0%) | 24 (82.8%) | |
High Blood Pressure Medication | | | | 0.921 |
Yes | 36 (50.7%) | 22 (52.4%) | 14 (48.3%) | |
No | 35 (49.3%) | 20 (47.6%) | 15 (51.7%) | |
Life’s Simple 7 Body Mass Index | | | | 0.057 |
Ideal | 7 (9.9%) | 3 (7.1%) | 4 (13.8%) | |
Intermediate | 25 (35.2%) | 11 (26.2%) | 14 (48.3%) | |
Poor | 39 (54.9%) | 28 (66.7%) | 11 (37.9%) | |
Life’s Simple 7 Physical Activitya | | | | 0.016 |
Ideal | 37 (52.1%) | 25 (59.5%) | 12 (41.4%) | |
Intermediate | 29 (40.8%) | 17 (40.5%) | 12 (41.4%) | |
Poor | 5 (7.0%) | 0 (0%) | 5 (17.2%) | |
Life’s Simple 7 Blood Glucose | | | | 0.294 |
Ideal | 18 (25.4%) | 11 (26.2%) | 7 (24.1%) | |
Intermediate | 32 (45.1%) | 16 (38.1%) | 16 (55.2%) | |
Poor | 21 (29.6%) | 15 (35.7%) | 6 (20.7%) | |
Life’s Simple 7 Blood Pressure | | | | 0.162 |
Ideal | 5 (7.0%) | 1 (2.4%) | 4 (13.8%) | |
Intermediate | 31 (43.7%) | 20 (47.6%) | 11 (37.9%) | |
Poor | 34 (47.9%) | 21 (50.0%) | 13 (44.8%) | |
Missing | 1 (1.4%) | 0 (0%) | 1 (3.4%) | |
Life’s Simple 7 Smoking | | | | 0.387 |
Ideal | 59 (83.1%) | 37 (88.1%) | 22 (75.9%) | |
Intermediate | 2 (2.8%) | 1 (2.4%) | 1 (3.4%) | |
Poor | 10 (14.1%) | 4 (9.5%) | 6 (20.7%) | |
Life’s Simple 7 Cholesterol | | | | 0.072 |
Ideal | 40 (56.3%) | 20 (47.6%) | 20 (69.0%) | |
Intermediate | 26 (36.6%) | 17 (40.5%) | 9 (31.0%) | |
Poor | 5 (7.0%) | 5 (11.9%) | 0 (0%) | |
Life’s Simple 7 Diet | | | | 0.395 |
Ideal | 1 (1.4%) | 0 (0%) | 1 (3.4%) | |
Intermediate | 32 (45.1%) | 20 (47.6%) | 12 (41.4%) | |
Poor | 28 (39.4%) | 15 (35.7%) | 13 (44.8%) | |
Missing | 10 (14.1%) | 7 (16.7%) | 3 (10.3%) | |
Physical Activity Minutes/Weeka | 225 (219) | 253 (239) | 184 (184) | 0.197 |
Life’s Simple 7 Score | 7.48 (1.76) | 7.29 (1.67) | 7.76 (1.88) | 0.308 |
Missing | 11 (15.5%) | 7 (16.7%) | 4 (13.8%) | |
CES-D | 10.9 (8.98) | 6.17 (4.82) | 17.6 (9.28) | < 0.001 |
Missing | 1 (1.4%) | 1 (2.4%) | 0 (0%) | |
CES-D > 16 | | | | < 0.001 |
Yes | 18 (25.4%) | 2 (4.8%) | 16 (55.2%) | |
No | 52 (73.2%) | 39 (92.9%) | 13 (44.8%) | |
Missing | 1 (1.4%) | 1 (2.4%) | 0 (0%) | |
Perceived Stress Score | 14.5 (7.28) | 11.0 (5.71) | 19.5 (6.30) | < 0.001 |
Mental Component Score | 45.4 (15.3) | 51.6 (11.0) | 36.5 (16.3) | < 0.001 |
PHQ-2 Score | 0.986 (1.50) | 0 (0) | 2.41 (1.43) | < 0.001 |
The change in mental health measures from baseline to 12 and 24 weeks are shown in Table
2. In fully adjusted analyses, at 12 and 24 weeks: (1) PHQ-2 decreased 0.43 (95%CI: -0.81, -0.06) and 0.41 (95%CI: -0.75, -0.07), respectively, from a baseline of 1.04 (95%CI: 0.65, 1.43); (2) CES-D scores decreased 2.12 (95%CI: -4.46, 0.22) and 2.70, 95%CI:-4.80, -0.60), respectively, from a baseline of 10.88 (95%CI: 8.33, 13.43) and; (3) PSS-10 decreased 1.80 (95%CI: -3.79, 0.19) and 1.73 (95%CI: -3.56, 0.10), respectively, from a baseline of 14.75 (95%CI: 12.48, 17.01). The SF-36 MCS score non-significantly increased at 12 and 24 weeks. The odds of CES-D ≥16 were numerically but not statistically significantly lower at 12 (OR 0.48, 95%CI: 0.16, 1.43) and 24 weeks (OR 0.57, 95%CI: 0.22, 1.49) in models adjusted for age.
Table 2
Longitudinal Change in Mental Health Measures at 12 and 24 weeks in Black Impact
Patient Health Questionnaire-2 (PHQ-2) (Range 0–6) |
PHQ-2 | Baseline | 71 | 1.01 | (0.71, 1.32) | . | 1.01 | (0.70, 1.32) | . | 1.04 | (0.65, 1.43) | . |
PHQ-2 | week12–baseline | 41 | -0.39 | (-0.74, -0.05) | 0.027 | -0.39 | (-0.74, -0.04) | 0.029 | -0.43 | (-0.81, -0.06) | 0.023 |
PHQ-2 | week24–baseline | 52 | -0.29 | (-0.60, 0.03) | 0.076 | -0.28 | (-0.60, 0.03) | 0.080 | -0.41 | (-0.75, -0.07) | 0.018 |
Center for Epidemiologic Studies Depression (CES-D) (Range 0–60) |
CES-D Score | Baseline | 70 | 10.91 | (8.96, 12.87) | . | 10.77 | (8.84, 12.71) | . | 10.88 | (8.33, 13.43) | . |
CES-D Score | week12–baseline | 39 | -2.03 | (-4.14, 0.07) | 0.058 | -1.96 | (-4.07, 0.14) | 0.068 | -2.12 | (-4.46, 0.22) | 0.076 |
CES-D Score | week24–baseline | 51 | -2.41 | (-4.30, -0.51) | 0.014 | -2.32 | (-4.22, -0.42) | 0.017 | -2.70 | (-4.80, -0.60) | 0.012 |
Perceived Stress Scale 10 (PSS) (Range 0–40) |
PSS-10 | Baseline | 71 | 14.45 | (12.74, 16.16) | . | 14.41 | (12.69, 16.13) | . | 14.75 | (12.48, 17.01) | . |
PSS-10 | week12–baseline | 42 | -1.71 | (-3.51, 0.09) | 0.062 | -1.69 | (-3.49, 0.11) | 0.066 | -1.80 | (-3.79, 0.19) | 0.076 |
PSS-10 | week24–baseline | 52 | -1.42 | (-3.08, 0.24) | 0.092 | -1.40 | (-3.06, 0.26) | 0.097 | -1.73 | (-3.56, 0.10) | 0.064 |
36-item Short Form Survey (SF-36) Mental Component Score (MCS) (Range 0-100) |
SF-36 MCS | Baseline | 71 | 45.41 | (42.14, 48.67) | . | 45.57 | (42.33, 48.80) | . | 46.57 | (42.29, 50.85) | . |
SF-36 MCS | week12–baseline | 42 | 1.97 | (-2.11, 6.05) | 0.342 | 1.86 | (-2.23, 5.95) | 0.369 | 0.98 | (-3.50, 5.47) | 0.664 |
SF-36 MCS | week24–baseline | 52 | 1.42 | (-2.35, 5.19) | 0.456 | 1.30 | (-2.48, 5.07) | 0.498 | 1.53 | (-2.60, 5.66) | 0.464 |
Measureb | Time | Number | Number ≥ 16 | Proportion | Unadjusted | 95% CI | p-value | Adjusted for Age | 95% CI | p-value |
Depressive Symptoms ≥ 16 | Baseline | 70 | 18 | 25.71% | . | | . | | | |
| week12–baseline | 39 | 6 | 15.38% | 0.47 | (0.16, 1.40) | 0.173 | 0.48 | (0.16, 1.43) | 0.185 |
| week24–baseline | 51 | 9 | 17.65% | 0.56 | (0.21, 1.45) | 0.228 | 0.57 | (0.22, 1.49) | 0.248 |
In Table
3, a 1-point higher baseline CES-D was associated with less improvement in LS5 score at week 12 (-0.040, 95%CI: -0.076, -0.005) and 24 (-0.032, 95%CI: -0.067, 0.003). Similar findings were shown for PSS with a 1-point higher PSS associated with less improvement in LS5 score at week 12 (-0.040, 95%CI: -0.075, -0.005) and 24 (-0.034, 95%CI: -0.068, 0.001). There were no associations of mental health measures with change in LS6 or LS7 at weeks 12 or 24.
Table 3
The Relationship between Mental Health at Baseline and Change in Cardiovascular Health Scores
LS5 | (Intercept) | 5.195 | 0.000 | 4.715 | 5.675 | 5.290 | 0.000 | 4.876 | 5.703 | 5.149 | 0.000 | 4.726 | 5.572 | 5.279 | 0.000 | 4.878 | 5.681 | |
Week 12 | 0.695 | 0.001 | 0.312 | 1.077 | 0.639 | 0.000 | 0.312 | 0.965 | 0.641 | 0.000 | 0.299 | 0.983 | 0.544 | 0.001 | 0.229 | 0.860 | |
Week 24 | 0.771 | 0.000 | 0.392 | 1.151 | 0.768 | 0.000 | 0.442 | 1.094 | 0.675 | 0.000 | 0.339 | 1.012 | 0.671 | 0.000 | 0.357 | 0.985 | |
LS5 | 0.094 | 0.498 | -0.176 | 0.363 | 0.008 | 0.742 | -0.037 | 0.052 | -0.024 | 0.080 | -0.050 | 0.002 | 0.022 | 0.435 | -0.033 | 0.078 | |
Week 12*LS5 | -0.164 | 0.130 | -0.374 | 0.046 | -0.040 | 0.028 | -0.075 | -0.005 | 0.018 | 0.088 | -0.002 | 0.038 | -0.041 | 0.062 | -0.084 | 0.001 | |
Week 24*LS5 | -0.114 | 0.294 | -0.323 | 0.096 | -0.034 | 0.063 | -0.068 | 0.001 | 0.003 | 0.810 | -0.018 | 0.023 | -0.041 | 0.063 | -0.083 | 0.001 | |
LS6 | (Intercept) | 6.760 | 0.000 | 6.250 | 7.270 | 6.766 | 0.000 | 6.321 | 7.210 | 6.664 | 0.000 | 6.211 | 7.116 | 6.744 | 0.000 | 6.317 | 7.172 | |
Week 12 | 0.661 | 0.007 | 0.196 | 1.125 | 0.640 | 0.002 | 0.240 | 1.039 | 0.612 | 0.005 | 0.197 | 1.027 | 0.578 | 0.004 | 0.193 | 0.964 | |
Week 24 | 0.818 | 0.001 | 0.343 | 1.297 | 0.794 | 0.000 | 0.389 | 1.202 | 0.672 | 0.002 | 0.255 | 1.091 | 0.741 | 0.000 | 0.352 | 1.132 | |
LS6 | -0.015 | 0.920 | -0.301 | 0.271 | -0.003 | 0.895 | -0.051 | 0.045 | -0.014 | 0.331 | -0.042 | 0.014 | 0.005 | 0.857 | -0.054 | 0.064 | |
Week 12*LS6 | -0.091 | 0.485 | -0.342 | 0.162 | -0.029 | 0.185 | -0.071 | 0.013 | 0.007 | 0.579 | -0.018 | 0.032 | -0.027 | 0.314 | -0.078 | 0.025 | |
Week 24*LS6 | -0.081 | 0.535 | -0.335 | 0.172 | -0.025 | 0.256 | -0.067 | 0.017 | -0.009 | 0.474 | -0.034 | 0.015 | -0.027 | 0.310 | -0.079 | 0.025 | |
LS7 | (Intercept) | 7.484 | 0.000 | 6.886 | 8.081 | 7.450 | 0.000 | 6.941 | 7.958 | 7.337 | 0.000 | 6.812 | 7.861 | 7.444 | 0.000 | 6.947 | 7.940 | |
Week 12 | 0.711 | 0.016 | 0.152 | 1.269 | 0.773 | 0.003 | 0.291 | 1.257 | 0.652 | 0.015 | 0.145 | 1.160 | 0.692 | 0.005 | 0.230 | 1.157 | |
Week 24 | 1.061 | 0.001 | 0.492 | 1.631 | 1.025 | 0.000 | 0.540 | 1.512 | 0.839 | 0.002 | 0.334 | 1.346 | 0.919 | 0.000 | 0.450 | 1.391 | |
LS7 | -0.035 | 0.834 | -0.356 | 0.286 | 0.000 | 0.995 | -0.054 | 0.053 | -0.016 | 0.296 | -0.047 | 0.014 | 0.011 | 0.750 | -0.055 | 0.077 | |
Week 12*LS7 | -0.025 | 0.870 | -0.316 | 0.269 | -0.029 | 0.231 | -0.075 | 0.018 | -0.005 | 0.738 | -0.033 | 0.023 | -0.034 | 0.256 | -0.092 | 0.024 | |
Week 24*LS7 | -0.154 | 0.377 | -0.488 | 0.183 | -0.042 | 0.127 | -0.095 | 0.011 | -0.016 | 0.302 | -0.047 | 0.014 | -0.047 | 0.150 | -0.110 | 0.016 | |
In Table
4 and Supplemental Table
3, the comparison of change in mental health measures with change in cardiovascular health scores was evaluated. The longitudinal change in mental health scores (CES-D, PHQ-2, PSS, SF-36 MCS) were significantly associated with each other (p < 0.05). There was no longitudinal association of mental health scores with cardiovascular health scores (LS5, LS6 and LS7).
Table 4
Comparison of Change in Mental Health Measures with Change in Cardiovascular Health Scores using Linear Regression Models with Mixed Effects Generated Slopes of Mental Health Measures and Cardiovascular Health Scores across the study (Baseline, Week 12, and Week 24)
CESD | | 5.954 (< 0.001) | 4.099 (0.148) | 0.804 (0.597) | 0.303 (0.747) | -0.469 (0.001) | 0.751 (< 0.001) |
PHQ2 | 0.081 (< 0.001) | | 0.079 (0.808) | 0.007 (0.968) | 0.018 (0.870) | -0.078 (< 0.001) | 0.092 (< 0.001) |
LS5 | 0.007 (0.148) | 0.011 (0.808) | | 0.448 (< 0.001) | 0.211 (< 0.001) | -0.001 (0.860) | -0.001 (0.906) |
LS6C | 0.005 (0.597) | 0.003 (0.968) | 1.508 (< 0.001) | | 0.505 (< 0.001) | 0.003 (0.802) | -0.015 (0.272) |
LS7C | 0.006 (0.747) | 0.026 (0.870) | 2.250 (< 0.001) | 1.611 (< 0.001) | | 0.012 (0.600) | -0.027 (0.297) |
MCS | -0.297 (0.001) | -3.597 (< 0.001) | -0.388 (0.860) | 0.302 (0.802) | 0.391 (0.600) | | -0.347 (0.009) |
PSS | 0.380 (< 0.001) | 3.393 (< 0.001) | -0.232 (0.906) | -1.174 (0.272) | -0.688 (0.297) | -0.276 (0.009) | |
Discussion
Black Impact, a novel 24-week community-based lifestyle intervention focused on physical activity and health education in Black men, demonstrated improvements in mental health, including reductions in depressive scores and perceived stress. While there was no association of baseline mental health measures with baseline overall cardiovascular health scores, higher baseline depressive symptoms and perceived stress were associated lower improvements in cardiovascular health scores inclusive of blood pressure, cholesterol, glucose, body mass index and smoking, over 12 and 24 weeks. The change in mental health measures did not influence the change in cardiovascular health scores during the intervention. Limited data exist on interventions to improve LS7 overall in Black Americans, with only two published studies focusing on all 7 components prior to Black Impact [
22,
54,
55]. Both of these studies were in majority Black women and neither evaluated mental health as an outcome [
22,
54,
55]. Thus, Black Impact is the first LS7-based intervention to show improvements in mental health among Black Men. Given the burden of poor physical and mental health in Black men, Black Impact provides support for larger, randomized trials to test interventions focused on improving mental and physical health using the LS7 framework.
The association of mental health measures with life’s simple 7 in black men
Divergent from the baseline mental health to LS7 associations in Black Impact, the majority of the extant literature in multi-racial and Black American observational cohort studies demonstrates that depressive symptoms and perceived stress are associated with poor levels of LS7 scores with an overall greater effect among the behavioral components of LS7 (smoking, physical activity, diet, and body mass index) including among Black Americans in the REGARDS study [
19,
38,
41]. In Black Americans in the Jackson Heart Study, participants with higher scores for minor stressors and stressful major life events were less likely to achieve higher levels of CVH scores, with no difference between men and women [
34]; and participants with hypertension with both high stress and depressive symptoms had lower composite LS7 than those with low stress and depressive symptoms [
56]. While the findings are not consistent with the cross-sectional Black impact results, they are consistent with longitudinal findings in Black Impact that baseline depression was associated with a significant reduction in improvement for LS5 at Week 12 and trends towards reductions at Week 24 for depressive symptoms and Week 12 and 24 for perceived stress.
Additionally, the mental health-LS7 relationship is bi-directional with observational studies showing an association of LS7 with depressive symptoms and stress [
35,
39,
57]. Baseline behavioral CVH score was inversely associated with perceived stress at four years, even after adjustment for perceived stress measured at baseline (p < 0.001) [
41]. The differential findings in Black Impact may be due to a smaller sample size than prior studies, although it is important to note that the majority of the extant literature does not specifically examine these relationships among Black men. Among Black men, there may be domains of depressive or stress symptoms that are not captured by CES-D, PHQ-2, MCS or PSS. In a recent study by Adams et al. [
58], investigators hypothesized that “Black men’s marginalized social status in the United States fundamentally shapes their depression symptoms, and ultimately, the ways in which they conceptualize the depression experience”. Concept mapping, a structured mixed methods approach, to characterize depressive symptoms in a community-based sample of Black men can be used to identify clusters of previously identified items including social pressures that are not captured in the validated measures of depression and stress used in Black Impact and other studies.
Thus, further work to contextualize the bi-directional association of mental health and Life’s Simple 7 is warranted in Black men. Additionally, delineating the underlying mechanistic pathways that mediate the mental health-cardiovascular risk-cardiovascular outcomes pathway is pivotal, including the role of allostatic load. Our group has previously shown that the neuroendocrine allostatic load subsystems (cortisol, aldosterone) and overall allostatic load (metabolic, cardiovascular, immune and neuroendocrine) are associated with coronary heart disease in Black men [
12].
Black impact mental health improvement effect size
The Black Impact intervention was associated with a 25% reduction in CES-D scores over 24 weeks in a sample of individuals with low levels of depressive symptoms at baseline (mean 10.9 [SD 9.0]). By comparison in a culturally-adapted depression intervention for African American men and women experiencing depression, CES-D-measured depressive symptoms decreased by 43% over 6 months from a higher baseline (mean 26.9 [SD 9.6]) [
59,
60]. In the intervention, participants met for 12 weeks for 2.5 h per week for cognitive behavioral therapy (CBT) and psychoeducation facilitated by African American Master’s level counselors. In a standard and patient-centered, culturally-tailored collaborative care (CC) intervention for African American patients with major depressive disorder (MDD), delivered by a primary care physician and consultation-liaison psychiatrist team that focused on education and evidenced-based practice [
61], CES-D scores improved from 29.84 to 30.17 in standard and in patient-centered groups from 20.64 to 22.67, representing decreases of ~ 31% and 25%, respectively at 6 months. Thus, the effect size seen in Black Impact is lower than the CBT-focused intervention and consistent with improvements seen in the primary care led intervention [
61].
Potential components of black impact leading to improvements in mental health
Many factors of the Black Impact Program may have led to improvements in mental health: the program included two sessions that specifically addressed mental health, fourteen of the men participated in an additional two-hour session to discuss mental health in a community large group format (100–200 men), the program promoted physical activity with 45 min of physical activity in community parks per week, the men in the program built a camaraderie over the course of the intervention and were paired in teams influencing social networks and potentially decreasing isolation. These components are supported by the “Clinical guidelines for the use of lifestyle-based mental health care in major depressive disorder” [
62]. We will discuss two of these components in further detail.
Physical activity
Among many racial/ethnic groups, a recent meta-analysis revealed the anti-depressive effect of exercise, even when adjusting for publication bias [
28]. Forty-nine prospective studies (n = 266,939) across the world show a 22% and 21% lower odds of incident depression in adults and elderly persons, respectively, with high vs. low levels of physical activity [
28]. In Black American adults, a systematic review of 13 randomized controlled trials, showed that while there was an effect of increasing physical activity in reducing depressive symptoms in Black adults, the majority of the studies analyzed were in Black women [
29]. In a recent pilot RCT, resistance training improved depressive symptoms to a greater extent than health, wellness and education in a pilot of Black men over 12 weeks [
63]. Consistent with these findings, in Black Impact at baseline, individuals with a PHQ-2 score of 0 vs. ≥1 had higher levels of physical activity.
Recently, there has been greater recognition of the additional benefits of “green exercise”, being physically active in the natural environment, on mental health with the greatest benefit among individuals with lower levels of mental health [
62,
64]. Green exercise may lower negative affect, including anxiety, tension, anger, depression, and fatigue [
65]. Nature-based interventions were effective for improving depressive mood, reducing anxiety, improving positive affect, and reducing negative affect. The most effective interventions were offered for between 8 and 12 weeks, and the optimal dose ranged from 20 to 90 min [
66]. Linking back to allostatic load, spending time in nature also improves cortisol parameters [
67], and cortisol dysregulation is a key underlying mechanism linking stress and depression with chronic disease [
68]. The workouts for Black Impact were completed in urban parks with green spaces and large tree canopies. Thus, the Black Impact physical activity regimen, particularly in the natural environment, may have contributed to the improvements in mental health, and future studies should include objective measures of physical activity and include larger representative samples of Black men in a randomized intervention to further delineate the contribution of physical activity to improvements in mental health in Black Impact.
Social networks
Social networks are the social ties that link people together through communication [
30]. Two dimensions of social networks are social support and social connectedness. Social support is defined as the frequency or number of contacts a person has with friends, family members, and other supportive network members. Social connectedness refers to: (1) the structural, functional, and qualitative aspects of social relationships, including social isolation and loneliness [
31,
32]; and (2) the strength or closeness of ties adults experience through friendships, both casual and intimate [
33]. Social support and connectedness are often cited as a buffers in the relationship between stress and depression [
33]. Previous research on social support has found that increased positive social support leads to a decrease in depressive symptoms and that social support acts as a buffer against stress [
33]. Increasing social connectedness has been shown to reduce depression in underserved older adults living with depression in a multi-racial/ethnic majority female sample [
32]. The organization of the men into teams was purposeful to induce a sense of camaraderie and to build social networks to enhance social support and social connectedness. In a survey of community-dwelling Black Americans, Black men were less open to acknowledging psychological problems and seeking help compared to women and were very concerned about stigma associated with mental health. Both men and women preferred religious coping and informal support networks over professional help and seeking mental health services [
69]. Thus, the building and enhancement of social networks may be another potential factor that led to improvements in mental health in Black Impact and is an area of future quantitative and qualitative exploration in larger studies.
Strengths/limitations
The strengths of our study include: (1) a focus on an understudied population with significant disparities in mental and cardiovascular health; (2) utilization of a community engagement framework for the community-based participatory research (CBPR) that addressed mental health needs in Black Impact; (3) the use of validated surveys to assess mental health; and (4) biometric data collection using evidenced-based approaches including collection by trained health professionals. Despite these strengths, the study should be considered in light of some limitations. As we have noted previously [
27,
45], the study was not randomized due to: (1) no previous test of intervention feasibility and acceptability; and (2) concerns raised from community members in regards to not receiving a potentially beneficial intervention. A second limitation is the lack of a control group [
27,
45]. Third, Black Impact participants may not be representative of other populations of Black men and did not have high levels of depressive symptoms at baseline. Fourth, data was not collected on previous diagnoses of depression or anti-depressant medications, which would be helpful in determining improvements in mental health among subpopulations. Lastly, our study was performed during the COVID-19 pandemic, which may have influenced improvements in mental health due to higher levels of social isolation in the general population during the COVID-19 pandemic. Thus, the increased social connectedness and physical activity may have had enhanced effects due to the general isolation experienced during the COVID-19 pandemic. Future larger randomized studies are planned to address these limitations.
Conclusion
Efficacious interventions that improve mental health and physical health in Black men are urgently needed to close disparities in mental and physical health that lead to vast inequities in life expectancy. To our knowledge, Black Impact is the first intervention to show improvements in mental health in a comprehensive community team-based physical activity, health education and social needs intervention among Black men, providing a potential novel comprehensive approach to improving mental health in Black men. The findings yield further support for the recent guidelines for the use of lifestyle-based mental health care through the use of physical activity and exercise, sleep, diet, green space, smoking cessation and loneliness and social support, which are all aligned with the Black Impact intervention and the AHA CVH conceptualization, particularly with the addition of sleep in Life’s Essential 8 [
62,
70]. The lifestyle-based mental health care guidelines also note that implementation considerations include the need for support networks and the importance of partnering such recommendations with behavior change support, and intervention delivery using a biopsychosocial-cultural framework [
62], all critical components of Black Impact. Black Impact should be tested in a larger, randomized controlled interventions to examine efficacy and to further explore the underlying mechanisms driving improvements in mental health among Black men.
Acknowledgements
The authors wish to thank the staff and participants of Black Impact. The authors wish to thank all of the partners that made this project possible including Allan Sommer, ACSM-CPT, the American Cancer Society, Cardinal Health, Central Ohio American Heart Association, Cigna Foundation, City of Columbus Recreation and Parks and Public Health, Franklin County Public Health, Healthcare Collaborative of Greater Columbus, Molina Healthcare, OhioHealth, The National African American Male Wellness Agency, The Ohio State University Center for Clinical and Translational Science, The Ohio State University Comprehensive Cancer Center Mobile Education Kitchen, The Ohio State University Wexner Medical Center and Quinn Capers IV, MD.
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