Abstract
People living with HIV on antiretroviral therapy have an increased risk of developing metabolic disturbances and central adiposity. Adequate engagement in physical activity (PA) could reduce the risk of chronic diseases associated with central adiposity. We conducted a secondary analysis of data from a randomized controlled trial of a PA intervention with 302 African American men aged 40 or older (53.9±7.2 years) living with HIV to assess whether the intervention reduced the waist-to-hip ratio (WHR). Generalized estimating equation analyses tested whether the PA intervention reduced WHR compared with the control group and whether age moderated its effect, adjusting for follow-up assessment time (3, 6, and 12 months postintervention) and baseline WHR and age. The analysis revealed that the intervention’s effect on WHR was not significant (B = −0.008, p = .097). However, a significant interaction between age and the intervention (B = 0.001, p = .046) indicated that the intervention’s effect in reducing WHR waned with increasing age. For instance, when dividing participants into three age subgroups, the intervention reduced WHR for men ages 40 to 50 (B = −0.020, p = .013) and ages 50 and 60 (B = −0.007, p = .315) but increased it among those older than 60 (B = 0.013, p = .252). The intervention’s effects on WHR differed by participants’ age, suggesting that different PA strategies may be needed based on age to improve the metabolic profile and reduce chronic disease risk in African American men living with HIV.
Keywords: male, HIV, African American, waist-to-hip ratio, adiposity, exercise
Introduction
Antiretroviral therapy (ART) has increased life expectancy among people living with HIV (Masenga et al., 2020). ART is known to increase the risk for central and visceral adiposity (Dimala et al., 2018; Koethe et al., 2020). Central adiposity, a waist circumference ≥102 cm or waist-to-hip ratio (WHR) ≥0.90 in men is related to adverse metabolic outcomes, such as insulin resistance, hypertension, and dyslipidemia, which are known risk factors for cardiovascular diseases and cancer (Owolabi et al., 2017). Alterations in fat deposit with ART are compounded by morphological changes that occur in people living with HIV and the rising prevalence of obesity (Koethe et al., 2020; Wohl, 2004). Evidence from numerous studies suggests beneficial effects of physical activity in reducing visceral fat and the burden of chronic diseases (González et al., 2017; Kay & Fiatarone Singh, 2006).
African American men in particular experience higher rates of mortality and morbidity from chronic health conditions, including heart disease, diabetes, and HIV/AIDS (Randolph et al., 2018). African American men often fall short in meeting national recommendations for physical activity (Centers for Disease Control and Prevention, 2022). For instance, only 20.1% of African American adults compared with 25.6% of non-Hispanic Whites met the 2008 federal physical activity guidelines (National Center for Health Statistics, 2019; U.S. Department of Health & Human Services, 2008). These results underscore the need for interventions to improve physical activity among African American adults. Evidence demonstrates a strong association of physical activity on WHR in men (Trichopoulou et al., 2001).
WHR, recommended by the World Health Organization (1999) in defining metabolic syndrome, is one of the most accurate measures of central adiposity and predictors of cardiometabolic risk (Dimala et al., 2018). Results from several studies demonstrate a predictive relationship of WHR with visceral fat and metabolic risk (Kay & Fiatarone Singh, 2006). Although evidence from cross-sectional studies (Kay & Fiatarone Singh, 2006) indicates an inverse relationship between physical activity and WHR, little is known about the influence of physical activity on central adiposity among African American men living with HIV. The aim of this study was to examine whether an intervention (Jemmott et al., 2021) to increase physical activity reduced WHR in an urban sample of African American men living with HIV.
Method
We conducted a secondary analysis of data from a randomized controlled trial of a physical activity intervention to assess whether the intervention reduced WHR. This study was reviewed and approved (protocol #813202) by the Institutional Review Board of the University of Pennsylvania. Written informed consent was required to participate. Participants were African American men aged 40 years or older living with HIV. The participants volunteered for a randomized controlled trial examining the efficacy of a health promotion intervention encouraging physical activity and healthy diet behaviors. The University of Pennsylvania’s CFAR Clinical Core Adult/Adolescent Database, which contains data on people who were living with HIV and agreed to be contacted for research participation, was used for participant recruitment. Patients were also referred by providers at the University of Pennsylvania’s Presbyterian HIV Clinic, the Drexel University/Partnership Clinics, and AIDS service organizations in Philadelphia, PA. In addition, participants were recruited through advertisements in a local newspaper and on social media sites, including Facebook, Twitter, and Craig’s list.
Eligible participants for the study were 40 or older men, self-identified as Black or African American, and receiving ART for HIV. We verified that participants were receiving ART for HIV based on a referral of an HIV care provider or proof of a prescription for ART. We excluded people who participated in any intervention trials in the past 12 months targeting physical activity, diet, or prostate or colorectal cancer screening, or those whose blood pressure was 180/110 mm Hg or higher. We also excluded those who had a plan to relocate in the next 18 months or those who did not have a mailing address because it would be challenging for researchers to collect postintervention data.
The Physical Activity Intervention
African American men aged 40 years and older living with HIV were randomized to a one-session health awareness control condition or a health promotion intervention targeting physical activity (Jemmott et al., 2021). The three-session physical activity intervention based on social cognitive theory and the reasoned action approach encouraged participants to adhere to guidelines set forth by the U.S. Department of Health & Human Services (2008). The intervention utilized videos, physical exercise, and educational games to increase adherence to physical activity guidelines.
Measures
Trained research coordinators measured the participants’ waist circumference from the front at the narrowest part of the participant’s torso and the participants’ hip circumference from the side around the widest part of the participant’s buttocks using a cloth tape measure. The research coordinators had been trained to ensure that no compression of the skin or underclothing occurred and that the tape was strictly horizontal. WHR was calculated by dividing the waist circumference by the hip circumference.
Statistical Analysis Plan
Generalized estimating equation (GEE) analyses tested whether the physical activity intervention reduced WHR compared with the control group and whether age moderated its effect, adjusting for follow-up assessment time (3, 6, and 12 months postintervention), baseline WHR, and age. Specifically, we estimated a GEE model to examine the interaction effect of the intervention and age on the outcome variable. To help interpret a significant interaction, we also ran separate GEE models highlighting the intervention’s effect on the outcome for each of the three age subgroups. All analyses were conducted using SAS 9.4.
Results
The sample was 302 African American men aged 40 or older (53.9±7.2 years) living with HIV. Table 1 presents the sociodemographic characteristics of participants at baseline. The average WHR of participants was 0.95 (SD = 0.07). The average WHR of the participants in the control condition was 0.95 (SD = 0.07) and it was 0.94 (SD = 0.07) among participants in the intervention condition. The control and the intervention groups were also comparable in other characteristics. The proportion of participants who completed at least high school was 75.3% (N = 113) in the control condition and 75.7% (N = 115) in the intervention condition. The proportion of participants who were unemployed was 84.7% (N = 127) and 82.2% (N = 125) for the control and the intervention groups, respectively. Participants with a monthly income of less than US$850 accounted for 63.3% (N = 95) and 69.1% (N = 105) of the control group and the intervention group, respectively. Table 2 presents the mean and the standard deviation of WHR by condition and assessment period.
Table 1.
Characteristics (N = 302) | All participants | Control | PA intervention |
---|---|---|---|
Age, M (SD) | 53.88 (7.24) | 54.18 (6.33) | 53.59 (8.05) |
Less than or equal to 50, n (%) | 99 (32.8) | 44 (29.3) | 55 (36.2) |
Greater than 50 and less than or equal to 60, n (%) | 158 (52.3) | 86 (57.3) | 72 (47.4) |
Greater than 60, n (%) | 45 (14.9) | 20 (13.3) | 25 (16.5) |
Completed at least high school, n (%) | 228 (75.5) | 113 (75.3) | 115 (75.7) |
Unemployed, n (%) | 252 (83.4) | 127 (84.7) | 125 (82.2) |
Monthly individual income, n (%) | |||
Less than US$850 | 200 (67) | 95 (63.3) | 105 (69.1) |
US$850 or more | 102 (33) | 55 (36.7) | 47 (30.9) |
Unstable housing, n (%) | 44 (14.6) | 17 (11.3) | 27 (17.8) |
BMI, M (SD) | 28.19 (5.94) | 28.71 (6.62) | 27.68 (5.16) |
Waist circumference, M (SD) | 39.25 (5.89) | 39.97 (6.30) | 38.55 (5.38) |
Waist-hip ratio, M (SD) | 0.95 (0.07) | 0.95 (0.07) | 0.94 (0.07) |
Met physical activity guidelines, n (%) | 34 (11.3) | 16 (10.7) | 18 (11.8) |
Note. PA = physical activity; BMI = body mass index.
Table 2.
Condition | Baseline | 3-month | 6-month | 12-month |
---|---|---|---|---|
Control | 0.95 (0.07) | 0.95 (0.07) | 0.95 (0.07) | 0.96 (0.08) |
PA intervention | 0.94 (0.07) | 0.93 (0.06) | 0.94 (0.06) | 0.95 (0.07) |
Note. Values are represented as M (SD). PA = physical activity.
We first examined the effect of the physical activity intervention on WHR. The effect of the intervention on WHR was not significant. To be specific, in the GEE regression model estimating WHR, the coefficient of the intervention was negative but not statistically significant (B = −0.008, z = -1.656, p = .097), controlling for time and the baseline outcome as covariates.
We then examined the interaction effect between age and the physical activity intervention on WHR, as presented in Table 3. We identified a significant interaction between age and the intervention on WHR (B = 0.001, z = 1.996, p = .046), controlling for the intervention, age, time, and the baseline outcome. The result indicates that the intervention’s effect of reducing WHR generally decreases for older participants.
Table 3.
Independent variable | Estimate | SE | p |
---|---|---|---|
PA Intervention × Age among all participants | |||
PA Intervention × Age | 0.001 | 0.001 | .046 |
PA intervention | −0.078 | 0.036 | .030 |
Age | 0.000 | 0.001 | .643 |
Time (6 months) | 0.002 | 0.004 | .522 |
Time (12 months) | 0.010 | 0.004 | .014 |
Baseline outcome | 0.548 | 0.060 | <.001 |
Intercept | 0.424 | 0.057 | <.001 |
Subgroup analysis among participants with ages 40–50 | |||
PA intervention | −0.205 | 0.008 | .013 |
Time (6 months) | 0.000 | 0.006 | .943 |
Time (12 months) | 0.004 | 0.006 | .537 |
Baseline outcome | 0.580 | 0.062 | <.001 |
Intercept | 0.402 | 0.057 | <.001 |
Subgroup analysis among participants with ages 51–60 | |||
PA intervention | −0.007 | 0.007 | .315 |
Time (6 months) | 0.005 | 0.005 | .372 |
Time (12 months) | 0.010 | 0.006 | .079 |
Baseline outcome | 0.512 | 0.102 | <.001 |
Intercept | 0.461 | 0.095 | <.001 |
Subgroup analysis among participants with ages 61 and older | |||
PA intervention | 0.013 | 0.012 | .252 |
Time (6 months) | −0.003 | 0.009 | .771 |
Time (12 months) | 0.022 | 0.012 | .066 |
Baseline outcome | 0.601 | 0.053 | <.001 |
Intercept | 0.379 | 0.052 | <.001 |
Note. GEE = generalized estimating equation; PA = physical activity; WHR = waist-to-hip ratio.
To understand the interaction effect between age and the intervention on WHR, we divided participants into three different age groups and examined the effect of the intervention on WHR within each subgroup. The intervention significantly reduced WHR for the subgroup of participants with ages between 40 and 50 (B = −0.020, z = −2.485, p = .013). The intervention nonsignificantly reduced WHR among the subgroup of participants between 51 and 60 (B = −0.007, z = −1.005, p = .315) and nonsignificantly increased WHR among participants older than 60 (B = 0.013, z = 1.145, p = .252).
Discussion
In the present study of African American men aged 40 and older living with HIV, we showed that a physical activity intervention’s effects on WHR declined with increasing age. The results revealed that a one-size-fits all approach is inappropriate and interventions should be tailored based on age.
The findings from this study that the effect of the intervention on WHR declined for African American men 60 and older differ from those observed in prior research. In their randomized controlled trial of a home-based program, physical activity, and nutrition for seniors (aged 60 to 70), Burke and colleagues observed a significant decrease in WHR over a 6-month period in study participants (Burke et al., 2012). A randomized control trial examining trends of nutrition and exercise interventions to improve diabetes management and physical function in 29 disadvantaged older Hispanics with Type 2 diabetes reported improvements in WHR among the diet-only group compared with the diet + exercise group (Vieira et al., 2021). These studies highlight that the use of physical activity alone may be insufficient to reduce WHR among individuals with central adiposity.
The present study identified that the physical activity intervention reduced WHR among middle-aged men (aged 40 to 60), but increased WHR for men older than 60. Age is linked to a decline in muscle and an increase in fat, which could be a plausible explanation for increased WHR among older African American men living with HIV (Hunter et al., 2010; Kalyani et al., 2014). These findings provide preliminary evidence to support early intervention to reduce the burden of central adiposity among African American men living with HIV. Moreover, these findings highlight the need for clinical assessments of WHR among African American men living with HIV to mitigate cardiovascular risk and mortality.
To the best of our knowledge, this is the first age- and gender-specific study to examine a physical activity intervention and changes in WHR among African American men living with HIV. The randomized controlled trial and the use of standard procedures to assess WHR are strengths of this study. However, there are some limitations that must be acknowledged. The results of this study are limited given the small sample. An additional limitation is that participants were African American men 40 and older living with HIV enrolled in a health promotion trial; therefore, results may not be generalizable beyond this population. Finally, we did not measure length of diagnosis and length of time for ART.
In conclusion, central adiposity and low engagement in physical activity pose a threat for African American men living with HIV. The findings of this study demonstrate that a physical activity intervention may be an avenue to decrease WHR and subsequent risks of cardiovascular diseases among middle-aged African American men living with HIV. The findings of this study are promising and have implications for interventions to improve the metabolic profile and reduce chronic disease risk among African American men living with HIV.
Acknowledgments
The authors gratefully acknowledge the contributions of Scarlett Bellamy, PhD, Bruce Clifton, Mikia Croom, MEd, Ian Frank, MD, Janet Hsu, Ann O’Leary, PhD, Pandora Woods, and Brian Taylor. The authors also thank the men who participated in this research.
Footnotes
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Institutes of Health (Grant Nos. R01 MD006232, P30 AI045008, P30 MH097488).
ORCID iDs: Terri-Ann Kelly https://orcid.org/0000-0003-3773-1686
Soojong Kim https://orcid.org/0000-0002-1334-5310
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