Next Article in Journal
Methodology for the Determination of a Process Safety Culture Index and Safety Culture Maturity Level in Industries
Next Article in Special Issue
Effectiveness of a 6-Month Nutrition Intervention in People Living with HIV and Prediabetes Progressing through Stages of Change towards Positive Health Behavior
Previous Article in Journal
Negative Self-Assessment of Health in Women: Association with Sociodemographic Characteristics, Physical Inactivity and Multimorbidity
Previous Article in Special Issue
The Relationship between HIV Duration, Insulin Resistance and Diabetes Risk
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

“Me Dieron Vida”: The Effects of a Pilot Health Promotion Intervention to Reduce Cardiometabolic Risk and Improve Behavioral Health among Older Latinos with HIV

by
Daniel E. Jimenez
1,*,
Elliott R. Weinstein
2 and
John A. Batsis
3,4
1
Department of Psychiatry, University of Miami Miller School of Medicine, Miami, FL 33136, USA
2
Department of Psychology, University of Miami, Coral Gables, FL 33146, USA
3
Division of Geriatric Medicine, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA
4
Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(5), 2667; https://doi.org/10.3390/ijerph19052667
Submission received: 1 December 2021 / Revised: 15 February 2022 / Accepted: 19 February 2022 / Published: 25 February 2022
(This article belongs to the Special Issue Exercise and Healthy Eating for Successful Aging with HIV)

Abstract

:
There are significant gaps in knowledge about the synergistic and disparate burden of health disparities associated with cardiovascular health issues, poorer mental health outcomes, and suboptimal HIV-care management on the health of older Latinos living with HIV (OLLWH). This pilot study sought to evaluate the feasibility and acceptability of an innovative application of an already established health-promotion intervention—Happy Older Latinos are Active (HOLA)—among this marginalized population. Eighteen self-identified Latino men with an undetectable HIV viral load and documented risk of cardiometabolic disease participated in this study. Although the attrition rate of 22% was higher than expected, participants attended 77% of the sessions and almost 95% of the virtual walks. Participants reported high satisfaction with the intervention, as evident by self-report quantitative (CSQ-8; M = 31, SD = 1.5) and qualitative metrics. Participants appreciated bonding with the community health worker and their peers to reduce social isolation. Results indicate that the HOLA intervention is an innovative way of delivering a health promotion intervention adapted to meet the diverse needs and circumstances of OLLWH, is feasible and acceptable, and has the potential to have positive effects on the health of OLLWH.

1. Introduction

People living with HIV (PLWH) are increasingly living into older adulthood at higher rates due to advances in both antiretroviral therapy (ART) and early HIV diagnostic tools. In 2018, older adults over the age of 50 accounted for over half (51%) of the PLWH in the United States (U.S.), and 17% of new HIV diagnoses nationally were in this group [1]. Although older adults living with HIV (OALWH) are living longer and healthier lives, a unique set of challenges associated with physical and mental health comorbidities associated with accelerated aging and other structural health disparities will be further exacerbated as the proportion of OALWH in the U.S. is expected to double over the next 15 years [2].
Certain marginalized groups such as racial, ethnic, and sexual minorities continue to experience significant HIV health disparities, particularly those living at the intersection of multiple system of oppression. Latinos account for almost ¼ of the U.S.’s prevalence of HIV as well as 29% of new HIV diagnoses nationally in 2019 [3]. Latino men who also identify as a sexual minority (e.g., gay, bisexual, men who have sex with men) experience a disproportionate number of new cases of HIV (almost 25%) compared to their non-Latino peers [3,4,5]. Similarly, Latinos with HIV face additional HIV-related health disparities associated with managing their HIV-care, such as inconsistent ART adherence [6] and sub-optimal viral suppression rates [2,7] compared to other racial/ethnic peers. Such disparities become significantly more observable among older Latinos living with HIV (OLLWH) facing greater rates of unsuppressed HIV viral load, poorer ART adherence, and more severe disease progression compared with their age-matched White-non-Latino counterparts [8,9]. Therefore, a greater emphasis on the intersections between HIV and aging is warranted, particularly among racial, ethnic, and sexual minority groups [10].
OLLWH face increased rates of age-related physical comorbidities due to a phenomenon called accelerated aging [11,12], in part as a result of the disproportionate rates of cardiometabolic diseases such as obesity, hypertension, and metabolic syndrome (MetS) [13,14,15]. Similarly, OLLWH tend to be more sedentary and engage with physical activity less often than their white counterparts [16]. Despite the Hispanic Paradox [17], this sedentary lifestyle in combination with certain HIV-related health outcomes such as Hepatitis-C co-infection or ART toxicity make OLLWH more likely to experience additional physical health challenges such as coronary heart disease, stroke, nonalcoholic fatty liver disease, and cardiovascular issues compared to white-OALWH [18,19].
Moreover, MetS has been identified as a risk factor for severe complications of COVID-19 [20,21]. Before the pandemic, insufficient physical activity was already described as a public health problem for OLLWH, since they are more likely to be sedentary and not as actively engaged in increasing their physical activity levels compared to non-Latino whites [16]. As a result of the current situation in which many people are confined to their homes, physical activity levels have drastically declined while dietary habits have remained unchanged or failed to offset this inactivity [22,23]. There is strong epidemiological evidence that a chronic sedentary lifestyle is detrimental for health [24,25]. Taken together, these data underscore the compounded and unequal burden of HIV, MetS, and COVID-19, which is associated with excess morbidity and mortality among OLLWH.
The threat of COVID-19 infection is especially frightening for OLLWH since age, underlying medical conditions, and race and ethnicity are major risk factors for a severe course and mortality [26,27]. While the initial focus has been on understanding the severe acute respiratory syndrome coronavirus 2 that causes COVID-19, there are also significant public health challenges arising from the resulting prevention and mitigation measures, as they are associated with increased cardiometabolic risk, depression, anxiety, isolation, loneliness, and decreased quality of life [22,28,29,30].
Depression and anxiety among older adults with HIV have been reported at five times the level in the general population and is fueled by stigma and the resultant loneliness and social isolation [31,32]. Social isolation and loneliness have been correlated with levels of morbidity and mortality comparable to more established biopsychosocial risk factors such as obesity, sedentary behavior, and hypertension [33,34,35]. Given that familism and social cohesion are strong hallmarks of Latino culture [36,37,38] and that Latinos have high levels of stigmatizing attitudes toward people with HIV/AIDS [39], OLLWH may experience the harmful effects of co-morbid social isolation and stigma more intensely than their non-Latino white counterparts. COVID-19 prevention and mitigation strategies such as physical distancing and shelter-in-place may worsen feelings of social isolation and loneliness [23]. The awareness of vulnerability as well as the involuntary and inescapable self-isolation generate anxiety and other psychiatric symptoms of distress [29]. While these measures are necessary to limit COVID-19 cases, it seems clear that actions taken to curb the spread of COVID-19 will, in fact, exacerbate depression, anxiety, and isolation-related vulnerabilities among OLLWH.
The prevalence of cardiometabolic diseases among OLLWH suggests that health-promotion interventions—defined as behavioral interventions that use counseling strategies to equip participants with the necessary knowledge and skills to modify and sustain a healthy diet, increased physical activity, and/or healthy weight—are well-aligned with their needs and may provide a tangible approach to address them. Health promotion is safe and has known benefits for those living with HIV, including improvements in waist circumference, hypertension, dyslipidemia, insulin resistance, depression, anxiety, and quality of life [40,41]. Medications may ameliorate some ART-related side effects; however, potential toxicities are associated with polypharmacy [42]. Health-promotion interventions that are safe in the context of COVID-19 are needed to manage and prevent the cardiometabolic, psychosocial, and physical functioning problems associated with HIV and ART and exacerbated by COVID-19 prevention and mitigation strategies. Despite the multiple physical and mental health benefits of health promotion, health-promotion interventions for OLLWH have not been extensively utilized or widely recognized as viable therapeutic treatment options, and the majority of OLLWH do not engage in health promotion on a regular basis [16]. Moreover, health-promotion interventions are highly adaptable and can be delivered in person, via the internet, mobile apps, or over the phone. Mobile phones hold promise as a health-promotion-intervention delivery method. Mobile phone-based health-promotion interventions have been used effectively to change physical activity and healthy eating behaviors through their ability to reach people on large scales, disseminate education material to participants, foster social support, and allow self-monitoring and feedback on behavior [43,44,45].
Studies have shown that one of the main factors mediating the adoption and maintenance of physical activity and the derivation of benefits in older adults is the creation of positive social dynamics [46,47,48]. Specifically, having friends or family who support participation in regular physical activity, through modeling or as a partner in physical activity, has been associated with long-term adherence [46,47,48]. The ability of health-promotion interventions to build social support may indeed be the key to their ability to reducing cardiometabolic risk and the psychosocial and physical functioning consequences of COVID-19 mitigation strategies in OLLWH.
Overall, little is known about the multiplicative and imbalanced burden of health disparities associated with cardiovascular health issues, poorer mental health outcomes, and suboptimal HIV-care management on the health of OLLWH. This exploratory pilot study sought to do just that by establishing that feasibility and acceptability of an innovative application of an already established health-promotion intervention entitled Happy Older Latinos are Active (HOLA) among a population of OLLWH. The objectives of this pilot study are two-fold: (1) to evaluate the feasibility and acceptability of HOLA among OLLWH (aged 50+) and (2) identify modifications needed in the design of a larger, ensuing hypothesis-testing study. Consistent with recommendations from biostatistical workgroups funded by the National Institutes of Health (NIH) [49], this pilot study was not powered to test a hypothesis. Rather, this pilot study is a requisite initial step in exploring an innovative application of the HOLA health-promotion intervention.

2. Methods

2.1. Recruitment

Eligible participants were recruited from two University of Miami consent-to-contact databases composed of PLWH. This database offered the authors access to participant demographics, contact information, and data associated with HIV-related risk factors, allowing for targeted recruitment based on the study’s inclusion criteria. Participants who were considered potentially eligible from the databases were contacted via phone and invited to enroll in the study should they continue to fit the study’s inclusion and exclusion criteria. The database yielded 89 participants who were potentially eligible. Of those 89, 19 were not interested in participating, with lack of time being the reason most often cited; 9 were unable to be reached; and 20 did not meet our eligibility criteria.

2.2. Participants

Potential subjects for this pilot study who self-identified as male and Latino, were living with an undetectable HIV viral load (viral load < 200 copies/mL), and had a documented risk of cardiometabolic disease were invited to participate in this study. Documented risk of potential cardiometabolic disease was defined as having at least two of the following criteria: (a) waist circumference ≥ 94 cm; (b) HDL-C < 18.5 mg/dL; (c) triglycerides ≥ 30.6 mg/dL or specific treatment for hyperlipidemia; SBP ≥ 130 mmHg or DBP ≥ 85 mmHg, or treatment of previously diagnosed hypertension; HbA1c < 6.5% (48 mmol/mol). Older Latinos who met our inclusion criteria were provided with an initial verbal summary of the study, and informed consent was gathered from those who were interested in participating prior to enrollment. Payments were compensated up to $75 for their participation in the study. Final sample size was 18.

2.3. Outcomes

The primary outcomes were feasibility and acceptability as measured by participant evaluation of the project. We also considered participation and attrition rate as an indicator of acceptability based on the notion that if the intervention was not found to be useful, the participants would discontinue their participation in the project. This approach to analysis of feasibility data follows a similar approach that was utilized in the first HOLA trial and comparable pilot trials [50,51]. Other factors assessed at baseline were: cardiometabolic risk, using waist circumference, fasting levels of HDL-C, triglycerides, systolic and diastolic blood pressure, and HbA1c; depression-symptom severity, using the nine-item Patient Health Questionnaire (PHQ-9) [52]; anxiety-symptom severity, using the Generalized Anxiety Disorder scale (GAD-7) [53]; perceived stress using the 14-item Perceived Stress Scale (PSS) [54]; perceived social support using the 12-item Multidimensional Scale of Perceived Social Support (MSPSS) [55]; and level of day-to-day discrimination faced due to their HIV status using the HIV-Stigma Scale [56].

2.4. Measures

2.4.1. Demographics

Participant demographics were collected using an established demographics questionnaire developed by the Center for Latino Health Research Opportunities at the University of Miami. The questionnaire was adapted to include several other health-focused questions including asking participants to complete a medication list.

2.4.2. Client Satisfaction Questionnaire (CSQ-8)

The Client Satisfaction Questionnaire [57] is an 8-item measure of client satisfaction with services. Responses to each item are scored from 1 (poor) to 4 (excellent). The CSQ-8 has no subscales and yields a single score measuring a single dimension of overall satisfaction. An overall score is calculated by summing the respondent’s rating (item rating) score for each scale item. Scores therefore range from 8 to 32, with higher values indicating higher satisfaction. In addition, there are two open-ended questions that allow participants to state in their own words what they liked most about the intervention and what they liked the least.

2.5. Intervention Procedures

Happy Older Latino Adults (HOLA) is a multi-component health-promotion intervention for Latinos in middle and older adulthood [50]. The intervention employs components from both Social Learning Theory [58] and Behavioral Activation [59] to help older Latinos bolster their physical activity and schedule in pleasant events to their day-to-day routine to stave off recurrent depression and anxiety symptoms. The entire intervention is administered by a community health worker (CHW), which allows for deeper connections between participants and the interventionist and in turn, allows the interventionist to successfully model, encourage, and promote consistent health-behavior change [60,61].
The HOLA intervention has four core components. The first component centers on two structured social and physical activation sessions where participants meet individually with the CHW for an individualized 30-min physical and social activation session in anticipation for the group exercise phase of the intervention. Next, participants engage in a group walk, three times a week for 45 min each, over the course of 16 weeks to facilitate both physical activity and social interaction between participants. The group walks consist of 6 participants and take place at a public park that is centrally located to where the group participants reside. During the cooldown phase after each walk, the interventionist helps participants identify a pleasant event that they intend to do with another person prior to the next walk session in a way consistent with behavioral activation. The final component of HOLA centers around a maintenance phase via “booster” group walks twice a month for three months post-intervention to reinforce behavior change and maintain intervention effects.

2.6. COVID-19 Adaptations

In March of 2020, all in-person clinical research activities were suspended due to the COVID-19 pandemic. The protocol was amended to conduct all study-related activities virtually (i.e., over the telephone). For the social and physical activation sessions, the CHW would call the individual participants and go over the material that would have ordinarily been shared in person. For the virtual walks, participants would conference call with the CHW and the other members of their group at the time of their regularly scheduled walk, and they would walk around their respective neighborhoods with the CHW leading them. At the end of each walk, the CHW would engage with the participant in pleasant-event scheduling. The “booster” group walks were also conducted over the phone. Therefore, all participants were able to receive all four components of the intervention. Post-intervention and 3-months post-intervention follow-up assessments were conducted over the telephone as well. We were unable to collect follow-up data on cardiometabolic risk factors since that required in-person blood draws. When clinical research activities were suspended, Group 1 had completed the 2 social and physical activation sessions and 14 weeks of group walks in person. The last 2 weeks of the intervention (6 group walks) along with the booster sessions (6 additional group walks) were completed virtually. Group 2 had completed 1 social and physical activation session and 5 weeks of group walks in person. The last 11 weeks of the intervention (33 group walks), the second social and physical activation session, and the booster sessions (6 additional group walks) were completed virtually. Group 3 completed all of the intervention activities virtually.

2.7. Clinical Trial Registration

The study was registered on Clinicaltrials.gov #NCT03839212. Registered on 8 February 2019. First participant enrolled on 1 October 2019.

3. Results

3.1. Sociodemographic Characteristics

Table 1 shows baseline clinical and sociodemographic characteristics of the sample. The average age of the participants was 60.5 years (SD = 6.2). A majority (66.7%) had a high-school education or below. The sample was diverse with respect to country of origin—Cuba, Colombia, Honduras, U.S. (including Puerto Rico), and Nicaragua—with participants living in the U.S. for an average of 30.6 years (SD = 11.0). All preferred to speak Spanish. The majority of participants (55.5%) identified as a sexual minority (gay or bisexual); seven identified as straight or heterosexual; and one did not specify his sexual orientation. Participants reported moderate levels of depression-symptom severity (M = 14.3, SD = 4.2), perceived stress (M = 34.9, SD = 7.1), and HIV-related stigma (M = 105.2, SD = 18.0).

3.2. Feasibility and Acceptability

Fourteen participants (77.8%) completed the post-intervention and 3-months post-intervention follow-up assessments. That group did not have a chance to do either the social and physical activation sessions with the CHW or the in-person group walks before all clinical research activities were suspended due to the pandemic. Participants attended 77% of the sessions. This includes the in-person walks as well as the virtual walks. The attendance rate of the virtual walks was 94.6%.
The average score of the CSQ-8 [57] was 31 (SD = 1.5). Participants answered the two short-answer questions on the CSQ-8 [57]. Answers to the short-form questions reinforced what the participants had endorsed in the prior quantitative questions. Their responses were transcribed. From their project evaluations, two themes emerged. First, many of the participants were socially isolated, and the group walks offered a way to connect to others who had similar lived experiences. One participant stated, “Me dieron vida”, which translates to, “You gave me life”, when talking about the effect that the intervention had during a time of quarantine and social distancing. Another participant explained that what he liked most about the program was “meeting other people like me…walking with my group, they were all very friendly.” An additional participant went a step further saying, “We have all become friends and know that we can count on each other.”
Second was the connection that the CHWs were able to build with the participants. One participant stated, “What I liked most about the program was the way the health promoter reached the group”, while another stated, “Orieta (the CHW) united us all”, highlighting the ability of CHW to connect with participants and facilitate trusting bonds between group members. A summary of each theme and the participants’ qualitative feedback is presented in Table 2.

4. Discussion

Our intervention results indicate that an innovative health-promotion intervention—such as HOLA—can be adapted to meet the diverse needs and circumstances of OLLWH; is feasible and acceptable; and has the potential to have positive effects on the health of OLLWH. Currently, health-promotion interventions for OLLWH have not been extensively utilized or widely recognized as viable therapeutic treatment options, and the majority of OLLWH do not engage in health promotion on a regular basis [16]. This pilot study is the first step in developing a health-promotion intervention that can be implemented on a broad scale basis.
The results from the program evaluation were extremely positive. Cultural values and beliefs were included in the formative and development phases of the intervention to ensure that it addressed the different socio-cultural influences that have a role in the health of Latinos. We emphasized positive cultural attributes and motivated health promotion by highlighting Latino cultural values, such as the importance of community (communidad), respect (respeto), and trust (confianza). Findings indicated that the participants who received the intervention reported noticeable benefits, both quantitatively and qualitatively, from their participation in the program. For example, those who received the intervention reported that they benefited in terms of social isolation, loneliness, and stigma. Prior studies have shown that one of the main factors mediating the adoption and maintenance of physical activity and the derivation of benefits in older adults is the creation of positive social dynamics [62,63]. Specifically, having friends or family who support participation in regular physical activity, through modeling or as a partner in physical activity, has been associated with long-term adherence [46,48]. The ability of health-promotion interventions to build social support may indeed be the key to their ability to affect health outcomes.
The use of CHWs was an effective and culturally acceptable means of reaching the population with health information and motivating health behaviors. Since CHWs possess an intimate understanding of the cultural norms and values inherent to a specific community, they are particularly primed for success in promoting health and health outcomes with cultural competency. In the present context, the CHW is seen as an authority figure. If a participant agrees to meet with the CHW, then the participant will keep the appointment out of respect for the CHW’s time and authority. Moreover, older Latinos living with HIV may feel more comfortable divulging personal information to someone from their own community, allowing them to communicate with study personnel in a manner with which they feel comfortable (e.g., preferred language). This person-centered approach fosters trust and overall enthusiasm for the project.

4.1. Lessons Learned

Based on the quantitative and qualitative results from the project evaluation, we have gained greater insight into the value of our intervention in supporting OLLWH. First, social distancing does not mean spiritual distancing. Confusion and disruption to daily life were paramount at the beginning of the COVID-19 pandemic. Most clinical research activities were suspended across the nation, and we were unsure as to when they would resume. During this time of great uncertainty, study personnel let participants know that we were with them in spirit. Staff shared their fear, anxiety, stress, frustration, and confusion and learned that maintaining a personal connection to the participants, albeit virtually, was of utmost importance. It is essential that researchers continue to think innovatively about how to bridge the digital divide and embrace low-technology options such as conference calls in order to stay connected to their participants—no matter what it takes.
Second, we learned that 10 participants (55.5%) had flip phones, which forced us to confront the digital divide. The digital divide has been well-documented. Older Latinos are less likely to have access to or use high-quality internet compared to their non-Latino white or Black counterparts [64,65,66]. Due to social distancing guidelines and COVID-19 related regulations/restrictions, the internet has become a lifeline, allowing many to stay socially connected [67]. This increasing reliance on the internet can create or exacerbate known health disparities, which are particularly important considering the high prevalence and incidence of social isolation and loneliness and their impact on functioning, and physical and mental health, in this population.
Third, we learned that the virtual tools serve to complement—not replace—the in-person services. The attrition rate of 22.2% was higher than the 15% that we had originally predicted based on other pilot studies [50,51]. The four participants who were lost to follow-up were from the third group, which had formed but had not had a chance to meet in-person before all clinical research activities were suspended due to the pandemic and the COVID-19 adaptations had been implemented. Unfortunately, the last group did not have a chance to form a cohesive bond like the prior groups had. We believe that if the group had received an opportunity to meet in-person and establish a connection, then we would have not seen as much attrition.
Fourth, we learned that COVID-19 is exacerbating social isolation and loneliness among OLLWH. The threat of COVID-19 infection is especially frightening for OLLWH since age, underlying medical conditions, and race and ethnicity are major risk factors for a severe course and mortality [26,27,68]. Prevention and mitigation strategies (i.e., physical distancing, shelter-in-place, etc.) help to attenuate adverse outcomes from COVID-19; however, these approaches may have unintended consequences on the physical and mental health of OLLWH, given that this group tends to have restricted social networks due to HIV-related stigma and ageism [68].

4.2. Limitations

Several limitations of this study are worth noting. First, our small sample size limited our ability to test a hypothesis regarding intervention effects. Nonetheless, our results have proven to be promising, and provide evidence that an adequately powered, randomized control trial is warranted. Second, the two short-answer questions asked what participants liked and disliked about the intervention, thus potentially limiting nuanced feedback from the participants. Third, the sample was all Latino men and, hence, we are unable to understand whether similar findings would be obtained among Latina women living with HIV. Fourth, we did not measure reasons for attrition among participants who were lost to follow-up. Finally, COVID-19 was a historical threat to the internal validity of the study. The suspension of all in-person clinical research due to the pandemic forced us to adapt the intervention and conduct the study virtually. While this adaptation allowed us to stay connected with our participants at a time of great uncertainty and fear, this meant that not everyone received the intervention delivered in the same way.

5. Conclusions

To our knowledge, this study is the first of its kind to assess the acceptability and feasibility of an adapted health-promotion intervention to improve cardiometabolic and mental health among a population of OLLWH. Relatively low attrition rates, high attendance of weekly sessions, and significant participant satisfaction as indicated by both quantitative and qualitative measures demonstrated the overall positive response of this intervention among a small group of OLLWH. OLLWH who received the intervention reported that they benefited in terms of social isolation, loneliness, and HIV-related stigma, which, we anticipate, improved overall mental health among this group during a particularly psychologically taxing time—the COVID-19 pandemic. Overall, HOLA is potentially successful in improving the mental health of OLLWH because of the authors’ intentional incorporation of cultural values and beliefs in the development of the intervention (e.g., utilization of the CHW model). Based on the success of this pilot study, future research should continue to explore how a culturally informed health intervention to improve physical health and reduce social isolation can be further adapted to support other marginalized older Latinos.

Author Contributions

D.E.J. is the study principal investigator and contributed to the theoretical background and conceptualization of the study, intervention and study design, writing, and editing. E.R.W. and J.A.B. contributed to the study design, writing, and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by grants R01 MD012610 and U54 MD002266 from the National Institute on Minority Health and Health Disparities, RO1 AG053163 from the National Institute on Aging, and P30 MH116867 from the National Institute of Mental Health. Batsis is supported by K23-AG051681 from the National Institute on Aging.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of the University of Miami (IRB ID: 20181032).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data and associated documentation from Center for Latino Health Research Opportunities (CLaRO) funded research projects will be made available to users under a data-sharing agreement that provides for: (1) a commitment to using data to advance the objectives of CLaRO and not to identify any individual participant; (2) a commitment to securing the data using appropriate computer technology; and (3) a commitment to destroying or returning the data after analyses are completed.

Conflicts of Interest

The authors declare no conflict of interest.

Correction Statement

This article has been republished with a minor correction to the Funding statement. This change does not affect the scientific content of the article.

References

  1. Centers for Disease Control and Prevention. HIV and Older Americans. Centers for Disease Control and Prevention. Available online: https://www.cdc.gov/hiv/group/age/olderamericans/index.html (accessed on 14 September 2020).
  2. Hood, J.E.; Golden, M.R.; Hughes, J.P.; Goodreau, S.M.; Siddiqi, A.-E.-A.; Buskin, S.E.; Hawes, S.E. Projected demographic composition of the United States population of people living with diagnosed HIV. AIDS Care 2017, 29, 1543–1550. [Google Scholar] [CrossRef] [PubMed]
  3. Centers for Disease Control and Prevention. HIV and Hispanic/Latino Gay and Bisexual Men: HIV Incidence. Available online: https://www.cdc.gov/hiv/group/gay-bisexual-men/hispanic-latino/incidence.html (accessed on 13 October 2021).
  4. Fauci, A.S.; Redfield, R.R.; Sigounas, G.; Weahkee, M.D.; Giroir, B.P. Ending the HIV epidemic: A plan for the United States. JAMA 2019, 321, 844–845. [Google Scholar] [CrossRef] [PubMed]
  5. Williams, L.D.; Stall, R.; Tempalski, B.; Jefferson, K.; Smith, J.; Ibragimov, U.; Hall, H.I.; Satcher Johnson, A.; Wang, G.; Purcell, D.W.; et al. Trajectories of and disparities in HIV prevalence among Black, white, and Hispanic/Latino men who have sex with men in 86 large U.S. metropolitan statistical areas, 1992–2013. Ann. Epidemiol. 2021, 54, 52–63. [Google Scholar] [CrossRef]
  6. Hoots, B.E.; Finlayson, T.J.; Wejnert, C.; Paz-Bailey, G. Updated Data on Linkage to Human Immunodeficiency Virus Care and Antiretroviral Treatment Among Men Who Have Sex With Men—20 Cities, United States. J. Infect. Dis. 2017, 216, 808–812. [Google Scholar] [CrossRef]
  7. Cruz, J.J.D.; Karpiak, S.E.; Brennan-Ing, M. Health Outcomes for Older Hispanics with HIV in New York City Using the Oaxaca Decomposition Approach. Glob. J. Health Sci. 2015, 7, 133–143. [Google Scholar] [CrossRef]
  8. Mindt, M.R.; Miranda, C.; Arentoft, A.; Byrd, D.; Monzones, J.; Fuentes, A.; Arias, F.; Rentería, M.A.; Rosario, A.; Morgello, S. Aging and HIV/AIDS: Neurocognitive Implications for Older HIV-Positive Latina/o Adults. Behav. Med. 2014, 40, 116–123. [Google Scholar] [CrossRef] [PubMed]
  9. Weinstein, E.R.; Lee, J.S.; Mendez, N.A.; Harkness, A.; Safren, S.A.; El-Sadr, W. HIV/AIDS and aging: The new frontier for HIV/AIDS research and care. AIDS 2021, 35, 2043–2045. [Google Scholar] [CrossRef]
  10. Guaraldi, G.; Squillace, N.; Stentarelli, C.; Orlando, G.; D’Amico, R.; Ligabue, G.; Fiocchi, F.; Zona, S.; Loria, P.; Esposito, R.; et al. Nonalcoholic Fatty Liver Disease in HIV-Infected Patients Referred to a Metabolic Clinic: Prevalence, Characteristics, and Predictors. Clin. Infect. Dis. 2008, 47, 250–257. [Google Scholar] [CrossRef]
  11. Van Epps, P.; Kalayjian, R.C. Human Immunodeficiency Virus and Aging in the Era of Effective Antiretroviral Therapy. Infect. Dis. Clin. N. Am. 2017, 31, 791–810. [Google Scholar] [CrossRef]
  12. Frontini, M.; Chotalia, J.; Spizale, L.; Onya, W.; Ruiz, M.; Clark, R.A. Sex and Race Effects on Risk for Selected Outcomes among Elderly HIV-Infected Patients. J. Int. Assoc. Physicians AIDS Care 2012, 11, 12–15. [Google Scholar] [CrossRef]
  13. Lombo, B.; Alkhalil, I.; Golden, M.P.; Fotjadhi, I.; Ravi, S.; Virata, M.; Lievano, M.; Diez, J.; Ghantous, A.; Donohue, T. Prevalence of Metabolic Syndrome in Patients with HIV in the Era of Highly Active Antiretroviral Therapy. Conn. Med. 2015, 79, 277–281. [Google Scholar] [CrossRef]
  14. Ramírez-Marrero, F.A.; De Jesús, E.; Santana-Bagur, J.; Hunter, R.; Frontera, W.; Joyner, M.J. Prevalence of Cardio-metabolic Risk Factors in Hispanics Living with HIV. Ethn. Dis. 2020, 20, 423–428. [Google Scholar]
  15. Ramírez-Marrero, F.A.; Rivera-Brown, A.M.; Nazario, C.M.; Rodríguez-Orengo, J.F.; Smit, E.; Smith, B.A. Self-Reported Physical Activity in Hispanic Adults Living With HIV: Comparison with Accelerometer and Pedometer. J. Assoc. Nurses AIDS Care 2008, 19, 283–294. [Google Scholar] [CrossRef] [PubMed]
  16. Markides, K.S.; Coreil, J. The health of Hispanics in the southwestern United States: An epidemiologic paradox. Public Health Rep. 1986, 101, 253–265. [Google Scholar] [PubMed]
  17. Guaraldi, G.; Zona, S.; Alexopoulos, N.; Orlando, G.; Carli, F.; Ligabue, G.; Fiocchi, F.; Lattanzi, A.; Rossi, R.; Modena, M.G.; et al. Coronary Aging in HIV-Infected Patients. Clin. Infect. Dis. 2009, 49, 1756–1762. [Google Scholar] [CrossRef]
  18. Merriman, R.B. Nonalcoholic fatty liver disease and HIV infection. Curr. HIV/AIDS Rep. 2006, 3, 113–117. [Google Scholar] [CrossRef]
  19. Bornstein, S.R.; Dalan, R.; Hopkins, D.; Mingrone, G.; Boehm, B.O. Endocrine and metabolic link to coronavirus infection. Natl. Rev. Endocrinol. 2020, 16, 297–298. [Google Scholar] [CrossRef] [PubMed]
  20. Li, B.; Yang, J.; Zhao, F.; Zhi, L.; Wang, X.; Liu, L.; Bi, Z.; Zhao, Y. Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China. Clin. Res. Cardiol. 2020, 109, 531–538. [Google Scholar] [CrossRef]
  21. Marziali, M.E.; Card, K.G.; McLinden, T.; Wang, L.; Trigg, J.; Hogg, R.S. Physical distancing in COVID-19 may exacerbate experiences of social isolation among people living with HIV. AIDS Behav. 2020, 23, 2250–2252. [Google Scholar] [CrossRef]
  22. Naarding, P.; Oude Voshaar, R.C.; Maijnissen, R.M. COVID-19: Clinical Challenges in Dutch Geriatric Psychiatry. Am. J. Geriatr. Psychiatry 2020, 28, P839–P843. [Google Scholar] [CrossRef]
  23. Booth, F.W.; Roberts, C.K.; Laye, M.J. Lack of exercise is a major cause of chronic diseases. Compr. Physiol. 2012, 2, 1143–1211. [Google Scholar]
  24. Sanchis-Gomar, F.; Lucia, A.; Yvert, T.; Ruiz-Casado, A.; Pareja-Galeano, H.; Santos-Lozano, A.; Fiuza-Luces, C.; Garatachea, N.; Lippi, G.; Bouchard, C.; et al. Physical inactivity and low fitness deserve more attention to alter cancer risk and prognosis. Cancer Prev. Res. 2015, 8, 105–110. [Google Scholar] [CrossRef] [PubMed]
  25. Centers for Disease Control and Prevention. Demographic Trends of COVID-19 Cases and Deaths in the US Reported to CDC. 2021. Available online: https://covid.cdc.gov/covid-data-tracker/?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcases-updates%2Fcases-in-us.html#demographics (accessed on 13 October 2021).
  26. Wang, L.; He, W.; Yu, X.; Hu, D.; Bao, M.; Liu, H.; Zhou, J.; Jiang, H. Coronavirus disease 2019 in elderly patients: Characteristics and prognostic factors based on 4-week follow-up. J. Infect. Dis. 2020, 80, 639–645. [Google Scholar] [CrossRef] [PubMed]
  27. Martinez-Ferran, M.; de la Guía-Galipienso, F.; Sanchis-Gomar, F.; Pareja-Galeano, H. Metabolic impacts of confinement during the COVID-19 pandemic due to modified diet and physical activity habits. Nutrients 2020, 12, 1549. [Google Scholar] [CrossRef]
  28. Armitage, R.; Nellums, L.B. COVID-19 and the consequences of isolating the elderly. Lancet 2020, 5, E256. [Google Scholar] [CrossRef]
  29. Stanton, R.; To, Q.G.; Khalesi, S.; Williams, S.L.; Alley, S.J.; Thwaite, T.L.; Fenning, A.S.; Vandelanotte, C. Depression, anxiety and stress during COVID-19: Associations with changes in physical activity, sleep, tobacco and alcohol use in Australian adults. Int. J. Environ. Res. Public Health 2020, 17, 4065. [Google Scholar] [CrossRef]
  30. Emlet, C.A. “You’re awfully old to have this disease”: Experiences of stigma and ageism in adults 50 years and older living with HIV/AIDS. Gerontol. 2006, 46, 781–790. [Google Scholar] [CrossRef]
  31. Grov, C.; Golub, S.A.; Parsons, J.T.; Brennan, M.; Karpiak, S.E. Loneliness and HIV-related stigma explain depression among older HIV-positive adults. AIDS Care 2010, 22, 630–639. [Google Scholar] [CrossRef]
  32. Holt-Lunstad, J.; Smith, T.B.; Layton, J.B. Social relationships and mortality risk: A meta-analytic review. PLoS Med. 2010, 7, e1000316. [Google Scholar] [CrossRef]
  33. Landeiro, F.; Leal, J.; Gray, A.M. The Impact of Social Isolation on Delayed Hospital Discharges of Older Hip Fracture Patients and Associated Costs. Osteoporos. Int. 2016, 27, 737–745. Available online: https://ora.ox.ac.uk/objects/uuid:77d7ac37-b6a1-498d-8368-47d9ea3c5fe0 (accessed on 15 October 2021). [CrossRef]
  34. Luanaigh, C.O.; Lawlor, B.A. Loneliness and the health of older people. Int. J. Geriatr. Psychiatry 2008, 23, 1213–1221. [Google Scholar] [CrossRef] [PubMed]
  35. Almeida, J.; Molnar, B.E.; Kawachi, I.; Subramanian, S.V. Ethnicity and nativity status as determinants of perceived social support: Testing the concept of familism. Soc. Sci. Med. 2009, 68, 1852–1858. [Google Scholar] [CrossRef]
  36. Campos, B.; Schetter, C.D.; Abdou, C.M.; Hobel, C.J.; Glynn, L.M.; Sandman, C.A. Familialism, social support, and stress: Positive implications for pregnant Latinas. Cult. Divers. Ethn. Minority Psychol. 2008, 14, 155. [Google Scholar] [CrossRef] [PubMed]
  37. Jimenez, D.E.; Bartels, S.J.; Cardenas, V.; Dhaliwal, S.S.; Alegría, M. Cultural beliefs and mental health treatment preferences of ethnically diverse older adult consumers in primary care. Am. J. Geriatr. Psychiatry Off. J. Am. Assoc. Geriatr. Psychiatry 2012, 20, 533–542. [Google Scholar] [CrossRef] [PubMed]
  38. Varas Diaz, N.; Rivera, S.M.; Cintron Bou, F. AIDS stigma combinations in a sample of Puerto Rican health professionals: Qualitative and quantitative evidence. Puerto Rico Health Sci. J. 2008, 27, 147–157. [Google Scholar]
  39. Fillipas, S.; Cherry, C.L.; Cicuttini, F.; Smirneos, L.; Holland, A.E. The effects of exercise training on metabolic and morphological outcomes for people living with HIV: A systematic review of randomised controlled trials. HIV Clin. Trials 2010, 11, 270–282. [Google Scholar] [CrossRef] [PubMed]
  40. Jimenez, D.E.; Begley, A.; Bartels, S.J.; Alegría, M.; Thomas, S.B.; Quinn, S.C.; Reynolds, C.F., 3rd. Improving health-related quality of life in older African American and non-Latino White patients. Am. J. Geriatr. Psychiatry 2015, 23, 548–558. [Google Scholar] [CrossRef]
  41. Bopp, C.M.; Phillips, K.D.; Fulk, L.J.; Hand, G.A. Clinical implications of therapeutic exercise in HIV/AIDS. J. Assoc. Nurses AIDS Care 2003, 14, 73–78. [Google Scholar] [CrossRef]
  42. Caperchione, C.M.; Vandelanotte, C.; Kolt, G.S.; Duncan, M.; Ellison, M.; George, E.; Mummery, W.K. What a man wants: Understanding the challenges and motivations to physical activity participation and healthy eating in middle-aged Australian men. Am. J. Men’s Health 2012, 6, 453–461. [Google Scholar] [CrossRef]
  43. Duncan, M.; Vandelanotte, C.; Kolt, G.S.; Rosenkranz, R.R.; Caperchione, C.M.; George, E.S.; Ding, H.; Hooker, C.; Karunanithi, M.; Maeder, A.J.; et al. Effectiveness of a Web- and Mobile Phone-Based Intervention to Promote Physical Activity and Healthy Eating in Middle-Aged Males: Randomized Controlled Trial of the ManUp Study. J. Med. Internet Res. 2014, 16, e136. [Google Scholar] [CrossRef]
  44. Vandelanotte, C.; Caperchione, C.M.; Ellison, M.; George, E.S.; Maeder, A.; Kolt, G.S.; Duncan, M.J.; Karunanithi, M.; Noakes, M.; Hooker, C.; et al. What kinds of website and mobile phone-delivered physical activity and nutrition interventions do middle-aged men want? J. Health Commun. 2013, 18, 1070–1083. [Google Scholar] [CrossRef] [PubMed]
  45. Becofsky, K.; Baruth, M.; Wilcox, S. Psychosocial mediators of two community-based physical activity programs. Ann. Behav. Med. 2014, 48, 125–129. [Google Scholar] [CrossRef] [PubMed]
  46. Jimenez, D.E.; Cook, B.; Kim, G.; Reynolds, C.F.; Alegria, M.; Coe-Odess, S.; Bartels, S.J. Assessing the Relationship between Physical Illness and Mental Health Service Use and Expenditures among Older Adults from Racial/Ethnic Minority Groups. Psychiatr. Serv. 2015, 66, 727–733. [Google Scholar] [CrossRef] [PubMed]
  47. Trost, S.G.; Owen, N.; Bauman, A.E. Correlates of adults’ participation in physical activity: Review and update. Med. Sci. Sports Exerc. 2002, 34, 1996–2001. [Google Scholar] [CrossRef]
  48. Kraemer, H.C.; Mintz, J.; Noda, A.; Tinklenberg, J.; Yesavage, J.A. Caution regarding the use of pilot studies to guide power calculations for study proposals. Arch. Gen. Psychiatry 2006, 63, 484–489. [Google Scholar] [CrossRef]
  49. Jimenez, D.E.; Reynolds, C.F.; Alegría, M.; Harvey, P.; Bartels, S.J. The Happy Older Latinos are Active (HOLA) health promotion and prevention study: Study protocol for a pilot randomized controlled trial. Trials 2015, 16, 579. [Google Scholar] [CrossRef]
  50. Jimenez, D.E.; Schulz, R.; Perdomo, D.; Le, C.C.; Czaja, S.J. Implementation of a Psychosocial Intervention Program for Working Caregivers. J. Appl. Gerontol. 2019, 38, 1206–1227. [Google Scholar] [CrossRef]
  51. Kroenke, K.; Spitzer, R.L.; Williams, J.B.W. The PHQ-9: Validity of a Brief Depression Severity Measure. J. Gen. Intern. Med. 2001, 16, 606–613. [Google Scholar] [CrossRef]
  52. Spitzer, R.L.; Kroenke, K.; Williams, J.B.W.; Löwe, B. A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7. Arch. Intern. Med. 2006, 166, 1092–1097. [Google Scholar] [CrossRef]
  53. Cohen, S.; Kamarck, T.; Mermelstein, R. A Global Measure of Perceived Stress. J. Health Soc. Behav. 1983, 24, 385–396. [Google Scholar] [CrossRef]
  54. Zimet, G.D.; Powell, S.S.; Farley, G.K.; Werkman, S.; Berkoff, K.A. Psychometric characteristics of the multidimensional scale of perceived social support. J. Personal. Assess. 1990, 55, 610–617. [Google Scholar]
  55. Berger, B.E.; Ferrans, C.E.; Lashley, F.R. Measuring stigma in people with HIV: Psychometric assessment of the HIV stigma scale. Res. Nurs. Health 2001, 24, 518–529. [Google Scholar] [CrossRef] [PubMed]
  56. Larsen, D.L.; Attkisson, C.C.; Hargreaves, W.A.; Nguyen, T.D. Assessment of client/patient satisfaction: Development of a general scale. Eval. Program Plan. 1979, 2, 197–207. [Google Scholar] [CrossRef]
  57. Bandura, A. Social Learning Theory; Prentice-Hall: Englewood Cliffs, NJ, USA, 1989. [Google Scholar]
  58. Jacobson, N.S.; Martell, C.R.; Dimidjian, S. Behavioral activation treatment for depression: Returning to contextual roots. Clin. Psychol. Sci. Pract. 2001, 8, 255–270. [Google Scholar] [CrossRef]
  59. Patel, A.R.; Nowalk, M.P. Expanding immunization coverage in rural India: A review of evidence for the role of community health workers. Vaccine 2010, 28, 604–613. [Google Scholar] [CrossRef]
  60. Perez, M.; Findley, S.E.; Mejia, M.; Martinez, J. The Impact of Community Health Worker Training and Programs in NYC. J. Health Care Poor Underserved 2006, 17, 26–43. [Google Scholar] [CrossRef]
  61. Elder, J.P.; Ayala, G.X.; Parra-Medina, D.; Talavera, G.A. Health communication in the Latino community: Issues and approaches. Annu. Rev. Public Health 2009, 30, 227–251. [Google Scholar] [CrossRef]
  62. Eng, E.; Parker, E.; Harlan, C. Lay health advisor intervention strategies: A continuum from natural helping to paraprofessional helping. Health Educ. Behav. 1997, 24, 413–417. [Google Scholar] [CrossRef]
  63. Anderson, M.; Kumar, M. Digital Divide Persists Even as Lower-Income Americans Make Gains in Tech Adoption; Pew Research Center. 2019. Available online: https://www.pewresearch.org/fact-tank/2019/05/07/digital-divide-persists-even-as-lower-income-americans-make-gains-in-tech-adoption/ (accessed on 15 October 2021).
  64. Campos-Castillo, C. Revisiting the first-level digital divide in the United States: Gender and race/ethnicity patterns, 2007–2012. Soc. Sci. Comput. Rev. 2015, 33, 423–439. [Google Scholar] [CrossRef]
  65. Werner, J.; Carlson, M.; Jordan-Marsh, M.; Clark, F. Predictors of computer use in community-dwelling, ethnically diverse older adults. Hum. Factors 2011, 53, 431–447. [Google Scholar] [CrossRef]
  66. Lai, J.; Widmar, N.O. Revisiting the Digital Divide in the COVID-19 Era. Appl. Econ. Perspect. Policy 2020, 43, 458–464. [Google Scholar] [CrossRef] [PubMed]
  67. Centers for Disease Control and Prevention. Cases of Coronavirus Disease (COVID-19) in the U.S. 2020. Available online: www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html (accessed on 13 October 2021).
  68. Shippy, R.A.; Karpiak, S.E. The aging HIV/AIDS population: Fragile social networks. Aging Ment Health 2005, 9, 246–254. [Google Scholar] [CrossRef] [PubMed]
Table 1. Baseline clinical and sociodemographic characteristics.
Table 1. Baseline clinical and sociodemographic characteristics.
Sociodemographic CharacteristicsSample
(N = 18)
Age, years60.5 (SD = 6.2)
Relationship Status
 % Single/never married 61.1 (n = 11)
 % In a domestic partnership 5.6 (n = 1)
 % Married 11.1 (n = 2)
 % Separated 5.6 (n = 1)
 % Divorced 16.7 (n = 3)
Education
 % No formal education 5.6 (n = 1)
 % 1st to 8th grade 33.3 (n = 6)
 % Some high school 5.6 (n = 1)
 % High school/General Educational Development (GED) 22.2 (n = 4)
 % Some college 22.2 (n = 4)
 % College degree 11.1 (n = 2)
Employment
 % Employed 22.2 (n = 4)
 % Unemployed 77.8 (n = 14)
Race
 % White 72.2 (n = 13)
 % Black 11.1 (n = 2)
 % Other 16.7 (n = 3)
Country of Origin
 % Cuba 38.8 (n = 7)
 % Colombia 22.2 (n = 4)
 % Honduras 16.7 (n = 3)
 % U.S. (including Puerto Rico) 16.7 (n = 3)
 % Nicaragua 5.6 (n = 1)
Years in the U.S.30.6 (SD = 11)
Preferred Language
 % Spanish 100 (N = 18)
Sexual Orientation
 % Straight or heterosexual 38.8 (n = 7)
 % Gay 33.3 (n = 6)
 % Bisexual 22.2 (n = 4)
 % Did not specify 5.6 (n = 1)
Cardiometabolic Risk Factors
 Waist Circumference (cm) 101.3 (SD = 14.8)
 HDL-C (mmol/L) 46.8 (SD = 17.1)
 Triglycerides (mmol/L) 176 (SD = 77.1)
 Systolic Blood Pressure (mmHg) 130.6 (SD = 13.1)
 Diastolic Blood Pressure (mmHg) 76.8 (SD = 10.3)
 HbA1c (%) 5.4 (SD = 0.48)
Psychosocial Functioning
 PHQ-9 14.3 (SD = 4.2)
 GAD-7 4.2 (SD = 3.5)
 Perceived Stress 34.9 (SD = 7.1)
 Social Support 4.7 (SD = 0.99)
 HIV-related Stigma 105.2 (SD = 18.0)
Table 2. Participant Feedback.
Table 2. Participant Feedback.
ThemesIllustrative Quotations
Overcoming social isolation, loneliness, and stigma via the group walks“Me dieron vida.”
“I can interact with other people; this is hard for me because I am shy.”
“We have all become friends and know that we can count on each other.”
“What I liked most about the program was meeting other people like me … walking with my group, they were all very friendly.”
“What I liked most about the program was the group walks and being comfortable enough to talk to everyone.”
Connection with the community health worker (CHW)“Orieta (the CHW) really listens to what I have to say.”
“Orieta (the CHW) united us all.”
“What I liked most about the program the way the health promoter reached the group.”
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Jimenez, D.E.; Weinstein, E.R.; Batsis, J.A. “Me Dieron Vida”: The Effects of a Pilot Health Promotion Intervention to Reduce Cardiometabolic Risk and Improve Behavioral Health among Older Latinos with HIV. Int. J. Environ. Res. Public Health 2022, 19, 2667. https://doi.org/10.3390/ijerph19052667

AMA Style

Jimenez DE, Weinstein ER, Batsis JA. “Me Dieron Vida”: The Effects of a Pilot Health Promotion Intervention to Reduce Cardiometabolic Risk and Improve Behavioral Health among Older Latinos with HIV. International Journal of Environmental Research and Public Health. 2022; 19(5):2667. https://doi.org/10.3390/ijerph19052667

Chicago/Turabian Style

Jimenez, Daniel E., Elliott R. Weinstein, and John A. Batsis. 2022. "“Me Dieron Vida”: The Effects of a Pilot Health Promotion Intervention to Reduce Cardiometabolic Risk and Improve Behavioral Health among Older Latinos with HIV" International Journal of Environmental Research and Public Health 19, no. 5: 2667. https://doi.org/10.3390/ijerph19052667

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop