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Harsono D, Deng Y, Chung S, Barakat LA, Friedland G, Villanueva M, Yager JE, Justen M, Edelman EJ. Prevalence and Correlates of Physical Inactivity Among Individuals with HIV During the First COVID-19 Wave: A Cross-sectional Survey. AIDS Behav 2024; 28:1531-1545. [PMID: 37824037 PMCID: PMC11349050 DOI: 10.1007/s10461-023-04170-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/08/2023] [Indexed: 10/13/2023]
Abstract
Physical activity is associated with improved health outcomes among people with HIV (PWH). In the recent pandemic context, policies designed to mitigate COVID-19 transmission may result in an increase in sedentary lifestyle and decreased physical activity. In this study, we aimed to characterize self-reported physical activity and factors associated with physical inactivity during the first wave of the COVID-19 pandemic among a sample of PWH engaged in care. We also described whether psychological coping strategies measured by the Brief COPE differed based on physical activity levels. Among 260 surveyed PWH in two HIV clinics in the US Northeast, 28.5% (n = 74) met the criteria for being physically active according to the Centers for Disease Control and Prevention (CDC)'s physical activity guidelines. Receiving care in New Haven, CT, presence of a detectable HIV viral load, every day tobacco use, and unhealthy alcohol use were associated with physical inactivity. Problem-focused coping, emotion-focused coping, and avoidance-focused coping strategies were found to be protective against physical inactivity. In adjusted analysis, only problem-focused coping continued to be significantly associated with lower odds of reporting physical inactivity. Efforts are urgently needed to promote physical activity among PWH, including among those without problem-focused coping strategies.
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Affiliation(s)
- Dini Harsono
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, 135 College St, Suite 200, New Haven, CT, 06510, USA.
| | - Yanhong Deng
- Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Sangyun Chung
- Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Lydia A Barakat
- AIDS Care Program, Section of Infectious Disease, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Gerald Friedland
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, 135 College St, Suite 200, New Haven, CT, 06510, USA
- AIDS Care Program, Section of Infectious Disease, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Merceditas Villanueva
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, 135 College St, Suite 200, New Haven, CT, 06510, USA
- AIDS Care Program, Section of Infectious Disease, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Jessica E Yager
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, 135 College St, Suite 200, New Haven, CT, 06510, USA
- SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | | | - E Jennifer Edelman
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, 135 College St, Suite 200, New Haven, CT, 06510, USA
- Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
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Davoudi A, Urbanek JK, Etzkorn L, Parikh R, Soliman EZ, Wanigatunga AA, Gabriel KP, Coresh J, Schrack JA, Chen LY. Validation of a Zio XT Patch Accelerometer for the Objective Assessment of Physical Activity in the Atherosclerosis Risk in Communities (ARIC) Study. SENSORS (BASEL, SWITZERLAND) 2024; 24:761. [PMID: 38339479 PMCID: PMC10857412 DOI: 10.3390/s24030761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/14/2024] [Accepted: 01/16/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Combination devices to monitor heart rate/rhythms and physical activity are becoming increasingly popular in research and clinical settings. The Zio XT Patch (iRhythm Technologies, San Francisco, CA, USA) is US Food and Drug Administration (FDA)-approved for monitoring heart rhythms, but the validity of its accelerometer for assessing physical activity is unknown. OBJECTIVE To validate the accelerometer in the Zio XT Patch for measuring physical activity against the widely-used ActiGraph GT3X. METHODS The Zio XT and ActiGraph wGT3X-BT (Actigraph, Pensacola, FL, USA) were worn simultaneously in two separately-funded ancillary studies to Visit 6 of the Atherosclerosis Risk in Communities (ARIC) Study (2016-2017). Zio XT was worn on the chest and ActiGraph was worn on the hip. Raw accelerometer data were summarized using mean absolute deviation (MAD) for six different epoch lengths (1-min, 5-min, 10-min, 30-min, 1-h, and 2-h). Participants who had ≥3 days of at least 10 h of valid data between 7 a.m-11 p.m were included. Agreement of epoch-level MAD between the two devices was evaluated using correlation and mean squared error (MSE). RESULTS Among 257 participants (average age: 78.5 ± 4.7 years; 59.1% female), there were strong correlations between MAD values from Zio XT and ActiGraph (average r: 1-min: 0.66, 5-min: 0.90, 10-min: 0.93, 30-min: 0.93, 1-h: 0.89, 2-h: 0.82), with relatively low error values (Average MSE × 106: 1-min: 349.37 g, 5-min: 86.25 g, 10-min: 56.80 g, 30-min: 45.46 g, 1-h: 52.56 g, 2-h: 54.58 g). CONCLUSIONS These findings suggest that Zio XT accelerometry is valid for measuring duration, frequency, and intensity of physical activity within time epochs of 5-min to 2-h.
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Affiliation(s)
- Anis Davoudi
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA; (L.E.); (A.A.W.); (J.C.); (J.A.S.)
| | | | - Lacey Etzkorn
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA; (L.E.); (A.A.W.); (J.C.); (J.A.S.)
| | - Romil Parikh
- School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA;
| | - Elsayed Z. Soliman
- Section on Cardiovascular Medicine, Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA;
| | - Amal A. Wanigatunga
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA; (L.E.); (A.A.W.); (J.C.); (J.A.S.)
- Center on Aging and Health, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Kelley Pettee Gabriel
- School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA;
| | - Josef Coresh
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA; (L.E.); (A.A.W.); (J.C.); (J.A.S.)
| | - Jennifer A. Schrack
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA; (L.E.); (A.A.W.); (J.C.); (J.A.S.)
- Center on Aging and Health, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Lin Yee Chen
- Medical School, University of Minnesota, Minneapolis, MN 55455, USA;
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Meng J, Xiao X, Wang W, Jiang Y, Jin Y, Wang H. Sleep quality, social rhythms, and depression among people living with HIV: a path analysis based on social zeitgeber theory. Front Psychiatry 2023; 14:1102946. [PMID: 37215662 PMCID: PMC10192574 DOI: 10.3389/fpsyt.2023.1102946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 04/14/2023] [Indexed: 05/24/2023] Open
Abstract
Background People living with HIV frequently report sleep disturbances. The social zeitgeber theory, which proposes that stressful life events can interfere with sleep and even depression by destabilizing daily routines, provides new insights into identifying predictors of sleep disturbances and improving sleep in people living with HIV. Objective To explain the pathways affecting sleep quality in people living with HIV based on social zeitgeber theory. Methods A cross-sectional study was conducted to assess sleep quality, social rhythms, depression, social support, and coping styles from December 2020 to February 2021. The hypothetical model was tested and respecified by performing path analysis and a bias-corrected bootstrapping method using IBM AMOS 24 software. The report of this study followed the STROBE checklist. Results A total of 737 people living with HIV participated in the study. The final model presented a good fit (goodness of fit = 0.999, adjusted goodness of fit index = 0.984, normed fit index = 0.996, comparative fit index = 0.998, Tucker-Lewis index = 0.988, root mean square error of approximation = 0.030, chi-squared/degree of freedom = 1.646), explaining 32.3% of the variance in sleep quality among people living with HIV. Lower social rhythm stability was directly associated with poorer sleep quality, and depression mediated the relationship between social rhythms and sleep quality. Social support and coping styles affected sleep quality through social rhythms and depression. Limitation The cross-sectional study design precludes making assumptions about causality among factors. Conclusion This study validates and extends the applicability of the social zeitgeber theory in the HIV context. Social rhythms have direct and indirect effects on sleep. Social rhythms, sleep, and depression is not simply linked in a cascading sequence but is theoretically linked in a complex way. More studies are needed to explore the predictors of social rhythms, and interventions for stabilizing social rhythms have the potential to alleviate sleep disturbances and depression in people living with HIV.
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Affiliation(s)
- Jingjing Meng
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - Xueling Xiao
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - Wenru Wang
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ying Jiang
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yanfei Jin
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - Honghong Wang
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
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