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Olapeju B, Hendrickson ZM, Shanahan P, Mushtaq O, Ahmed AE. Health behavior profiles and association with mental health status among US active-duty service members. Front Public Health 2024; 12:1324663. [PMID: 38454988 PMCID: PMC10917956 DOI: 10.3389/fpubh.2024.1324663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 02/05/2024] [Indexed: 03/09/2024] Open
Abstract
Introduction This study investigated the clustering of health behaviors among US active duty servicemembers (ADSM) into risk profiles and explored the association between these profiles with ADSM sociodemographic characteristics and mental health status. Methods This study utilized secondary data from the 2018 Health Related Behaviors Survey (HRBS), a Department of Defense (DoD) self-administered online survey. Health behaviors included physical activity, screen use, sleep habits, tobacco/substance use, alcohol drinking, preventive health care seeking and condom use at last sex/having multiple sexual partners. Past-year mental health status was measured using the Kessler Screening Scale for Psychological Distress (K6). Latent class analysis (LCA) on health behaviors was used to cluster ADSMs into risk profiles. Multivariable logistic model was used to examine whether ADSM characteristics and mental health status were associated with ADSMs' risk profiles. Results The LCA identified a four-class model that clustered ADSMs into the following sub-groups: (1) Risk Inclined (14.4%), (2) High Screen Users (51.1%), (3) Poor Sleepers (23.9%) and (4) Risk Averse (10.6). Over a tenth (16.4%) of ADSMs were categorized as having serious psychological distress. Being male, younger, less educated, in the Army, Marine Corps or Navy were associated with higher odds of being Risk Inclined (AOR ranging from 1.26 to 2.42). Compared to the reference group of Risk Adverse ADSMs, those categorized as Risk Inclined (AOR: 8.30; 95% CI: 5.16-13.36), High Screen Users (AOR: 2.44; 95% CI: 1.56-3.82) and Poor Sleepers (AOR: 5.26; 95% CI: 3.38-8.19) had significantly higher odds of having serious psychological distress. Discussion Study findings suggest opportunities to tailor behavioral and health promotion interventions for each of the distinct risk profiles. For example, ADSM described as Risk Inclined may benefit from preventive mental health services. Solutions for ADSM described as Poor Sleepers may include education on sleep hygiene; instituting duty schedules; and shifting military cultural norms to promote sleep hygiene as a pathway to optimal performance and thus military readiness. ADSM with low-risk behavior profiles such as those described as Risk Averse may prove beneficial in the roll-out of interventions as they act as peer-educators or mentors.
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Affiliation(s)
- Bolanle Olapeju
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Zoé Mistrale Hendrickson
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Department of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States
| | - Patrice Shanahan
- Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Omar Mushtaq
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
| | - Anwar E. Ahmed
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States
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Noiman A, Esber A, Wang X, Bahemana E, Adamu Y, Iroezindu M, Kiweewa F, Maswai J, Owuoth J, Maganga L, Ganesan A, Maves RC, Lalani T, Colombo RE, Okulicz JF, Polyak C, Crowell TA, Ake JA, Agan BK. Clinical factors and outcomes associated with immune non-response among virally suppressed adults with HIV from Africa and the United States. Sci Rep 2022; 12:1196. [PMID: 35075147 PMCID: PMC8786968 DOI: 10.1038/s41598-022-04866-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 12/24/2021] [Indexed: 11/21/2022] Open
Abstract
A significant minority of people living with HIV (PLWH) achieve viral suppression (VS) on antiretroviral therapy (ART) but do not regain healthy CD4 counts. Clinical factors affecting this immune non-response (INR) and its effect on incident serious non-AIDS events (SNAEs) have been challenging to understand due to confounders that are difficult to control in many study settings. The U.S. Military HIV Natural History Study (NHS) and African Cohort Study (AFRICOS). PLWH with sustained VS (< 400 copies/ml for at least two years) were evaluated for INR (CD4 < 350 cells/µl at the time of sustained VS). Logistic regression estimated adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for factors associated with INR. Cox proportional hazards regression produced adjusted hazard ratios (aHRs) for factors associated with incident SNAE after sustained VS. INR prevalence was 10.8% and 25.8% in NHS and AFRICOS, respectively. Higher CD4 nadir was associated with decreased odds of INR (aOR = 0.34 [95% CI 0.29, 0.40] and aOR = 0.48 [95% CI 0.40, 0.57] per 100 cells/µl in NHS and AFRICOS, respectively). After adjustment, INR was associated with a 61% increase in relative risk of SNAE [95% CI 1.12, 2.33]. Probability of "SNAE-free" survival at 15 years since sustained VS was approximately 20% lower comparing those with and without INR; nearly equal to the differences observed by 15-year age groups. CD4 monitoring before and after VS is achieved can help identify PLWH at risk for INR. INR may be a useful clinical indicator of future risk for SNAEs.
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Affiliation(s)
- Adi Noiman
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. .,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA. .,Infectious Disease Clinical Research Program, Henry M. Jackson Foundation for the Advancement of Military Medicine, Uniformed Services University of the Health Sciences, 11300 Rockville Pike, Suite 600, Rockville, MD, 20852, USA.
| | - Allahna Esber
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.,US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Xun Wang
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Emmanuel Bahemana
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,Henry M. Jackson Foundation MRI, Mbeya, Tanzania
| | - Yakubu Adamu
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,U.S. Army Medical Research Directorate-Africa, Nairobi, Kenya.,Henry M. Jackson Foundation MRI, Abuja, Nigeria
| | - Michael Iroezindu
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,U.S. Army Medical Research Directorate-Africa, Nairobi, Kenya.,Henry M. Jackson Foundation MRI, Abuja, Nigeria
| | | | - Jonah Maswai
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,Kenya Medical Research Institute, Nairobi, Kenya.,Henry M. Jackson Foundation MRI, Kericho, Kenya
| | - John Owuoth
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,Kenya Medical Research Institute, Nairobi, Kenya.,Henry M. Jackson Foundation MRI, Kisumu, Kenya
| | - Lucas Maganga
- National Institute of Medical Research-Mbeya Medical Research Centre, Mbeya, Tanzania
| | - Anuradha Ganesan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.,Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Ryan C Maves
- Naval Medical Center San Diego, San Diego, CA, USA
| | - Tahaniyat Lalani
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.,Naval Medical Center Portsmouth, Portsmouth, VA, USA
| | - Rhonda E Colombo
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.,Madigan Army Medical Center, Joint Base Lewis-McChord, WA, USA
| | - Jason F Okulicz
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.,Brooke Army Medical Center, San Antonio, TX, USA
| | - Christina Polyak
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.,US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Trevor A Crowell
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,Division of Infectious Diseases, Department of Medicine, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Julie A Ake
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.,Division of Infectious Diseases, Department of Medicine, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Brian K Agan
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. .,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
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Wood S, Won SH, Hsieh HC, Lalani T, Kronmann K, Maves RC, Utz G, Schofield C, Colombo RE, Okulicz JF, Blaylock J, Agan BK, Ganesan A. Risk Factors Associated With Chronic Liver Enzyme Elevation in Persons With HIV Without Hepatitis B or C Coinfection in the Combination Antiretroviral Therapy Era. Open Forum Infect Dis 2021; 8:ofab076. [PMID: 33738323 PMCID: PMC7953661 DOI: 10.1093/ofid/ofab076] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 02/19/2021] [Indexed: 02/06/2023] Open
Abstract
Background As morbidity due to viral coinfections declines among HIV-infected persons, changes in liver-related morbidity are anticipated. We examined data from the US Military HIV Natural History Study (NHS), a cohort of military beneficiaries, to evaluate incidence and risk factors associated with chronic liver enzyme elevation (cLEE) in HIV-monoinfected patients in the combination antiretroviral therapy (cART) era. Methods Participants who were hepatitis B virus and hepatitis C virus seronegative with follow-up after 1996 were included. We defined chronic liver enzyme elevation (cLEE) as alanine aminotransferase elevations ≥1.25 times the upper limit of normal on at least 2 visits, for a duration of ≥6 months within 2 years. We used multivariate Cox proportional hazards models to examine risk factors for cLEE. Results Of 2779 participants, 309 (11%) met criteria for cLEE for an incidence of 1.28/100 PYFU (1.28–1.29/100 PYFU). In an adjusted model, cLEE was associated with Hispanic/other ethnicity (reference Caucasian: hazard ratio [HR], 1.744; 95% CI, 1.270–2.395), non–nucleoside reverse transcriptase inhibitor–based cART (reference boosted protease inhibitors: HR, 2.232; 95% CI, 1.378–3.616), being cART naïve (HR, 6.046; 95% CI, 3.686–9.915), or having cART interruptions (HR, 8.671; 95% CI, 4.651–16.164). African American race (HR, 0.669; 95% CI, 0.510–0.877) and integrase strand transfer inhibitor (INSTI)–based cART (HR, 0.222; 95% CI, 0.104–0.474) were protective. Conclusions Our findings demonstrate that initiation and continued use of cART are protective against cLEE and support the hypothesis that HIV infection directly impacts the liver. INSTI-based regimens were protective and could be considered in persons with cLEE.
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Affiliation(s)
- Shannon Wood
- Department of Internal Medicine, Madigan Army Medical Center, Tacoma, Washington, USA.,Division of Infectious Diseases, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.,Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,Division of Infectious Diseases, Madigan Army Medical Center, Tacoma, Washington, USA
| | - Seung Hyun Won
- Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
| | - Hsing-Chuan Hsieh
- Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
| | - Tahaniyat Lalani
- Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA.,Division of Infectious Diseases, Naval Medical Center Portsmouth, Portsmouth, Virginia, USA
| | - Karl Kronmann
- Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,Division of Infectious Diseases, Naval Medical Center Portsmouth, Portsmouth, Virginia, USA
| | - Ryan C Maves
- Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,Division of Infectious Diseases, Naval Medical Center San Diego, San Diego, California, USA
| | - Gregory Utz
- Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,Division of Infectious Diseases, Naval Medical Center San Diego, San Diego, California, USA
| | - Christina Schofield
- Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,Division of Infectious Diseases, Madigan Army Medical Center, Tacoma, Washington, USA
| | - Rhonda E Colombo
- Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA.,Division of Infectious Diseases, Madigan Army Medical Center, Tacoma, Washington, USA
| | - Jason F Okulicz
- Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,Infectious Disease Service, San Antonio Military Medical Center, San Antonio, Texas, USA
| | - Jason Blaylock
- Division of Infectious Diseases, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.,Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Brian K Agan
- Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
| | - Anuradha Ganesan
- Division of Infectious Diseases, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.,Infectious Diseases Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.,The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
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