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Firkey MK, Tully LK, Bucci VM, Walsh ME, Maisto SA, Hahn JA, Bendinskas KG, Gump BB, Woolf-King SE. Feasibility of remote self-collection of dried blood spots, hair, and nails among people with HIV with hazardous alcohol use. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2023; 47:986-995. [PMID: 36949025 PMCID: PMC10360030 DOI: 10.1111/acer.15063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 03/07/2023] [Accepted: 03/13/2023] [Indexed: 03/24/2023]
Abstract
BACKGROUND The use of biomarkers in behavioral HIV research can help to address limitations of self-reported data. The COVID-19 pandemic forced many researchers to transition from standard in-person data collection to remote data collection. We present data on the feasibility of remote self-collection of dried blood spots (DBS), hair, and nails for the objective assessment of alcohol use, antiretroviral therapy adherence, and stress in a sample of people with HIV (PWH) who are hazardous drinkers. METHODS Standardized operating procedures for remote self-collection of DBS, hair, and nails were developed for an ongoing pilot study of a transdiagnostic alcohol intervention for PWH. Prior to each study appointment, participants were mailed a kit containing materials for self-collection, instructions, a video link demonstrating the collection process, and a prepaid envelope for returning samples. RESULTS A total of 133 remote study visits were completed. For DBS and nail collection at baseline, 87.5% and 83.3% of samples, respectively, were received by the research laboratory, of which 100% of samples were processed. Although hair samples were intended to be analyzed, most of the samples (77.7%) were insufficient or the scalp end of the hair was not marked. We, therefore, decided that hair collection was not feasible in the framework of this study. CONCLUSION An increase in remote self-collection of biospecimens may significantly advance the field of HIV-related research, permitting the collection of specimens without resource-intensive laboratory personnel and facilities. Further research is needed on the factors that impeded participants' ability to complete remote biospecimen collection.
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Affiliation(s)
| | - Lyric K. Tully
- Syracuse University, Department of Psychology, Syracuse, New York
| | | | - McKenna E. Walsh
- Syracuse University, Department of Psychology, Syracuse, New York
| | | | - Judith A. Hahn
- University of California, San Francisco, Department of Medicine, San Francisco, California
| | | | - Brooks B. Gump
- Syracuse University, Department of Public Health, Syracuse, New York
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Zanganeh A, Khademi N, Ziapour A, Farahmandmoghadam N, Izadi N, Saeidi S, Aghayani A, Teimouri R, Moghadam S, Khodaey A, Ghasemi SR, Pourmirza Kalhori R. Lifestyle in People Living With HIV: A Study of Patients in Kermanshah, Iran. INQUIRY : A JOURNAL OF MEDICAL CARE ORGANIZATION, PROVISION AND FINANCING 2023; 60:469580221150567. [PMID: 36912157 PMCID: PMC10014975 DOI: 10.1177/00469580221150567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
There is limited research on the role of lifestyle in people living with HIV (PLWH). This study investigated the health-promoting lifestyle among PLWH in Kermanshah-Iran. This cross-sectional study was conducted in 321 PLWH patients referred to the Kermanshah Behavioral Diseases counseling Center between 2017 and 2018. Patients were selected using the convenience sampling method. Data was collected using a standard health promotion lifestyle profile (HPLP-II) questionnaire. Regression and T-tests were used in SPSS 21 and Stata software to analyze the data. The mean age of patients was 41.07 ± 9.14 years. The mean HPLP score of patients in stress management had the lowest mean score (19.44 ± 4.22), and health responsibility had the highest mean score (22.22 ± 4.57). Comparisons between women and men also showed that women had a lower mean score than men in stress management. In addition, significant differences in their HPLP were observed only in the area of physical activity. The final model had significant influence on the PLWH (P < .001), in which the main predictors were housing status, family members, and feelings of happiness. These variables had a negative effect on HPLP in PLWH's. An appropriate education and training has improved the PLWH health-oriented lifestyle. Given that the housing situation affected health responsibility, nutrition, spiritual growth, interpersonal relationships, and stress management, may have caused severe anxiety and confusion in PLWH. Addiction also had a negative effect on patients' spiritual growth. Relatively simple lifestyle changes such as nutrition and stress management can significantly improve PLWH.
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Affiliation(s)
- Alireza Zanganeh
- Social Development & Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Nahid Khademi
- Department of Medical Ethics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Arash Ziapour
- Cardiovascular Research Center, Health Institute, Imam-Ali hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Naser Farahmandmoghadam
- Clinical Research Development Center, Imam Khomeini and Mohammad Kermanshahi Hospitals, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Neda Izadi
- Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shahram Saeidi
- Social Development & Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | | | - Raziyeh Teimouri
- UniSA Creative, University of South Australia, Adelaide, Australia
| | | | - Ali Khodaey
- Geography and Urban Planning, University of Zanjan, Zanjan, Iran
| | - Seyed Ramin Ghasemi
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Reza Pourmirza Kalhori
- Department of Medical Emergencies, School of Paramedical, Kermanshah University of Medical Sciences, Kermanshah, Iran
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Chu L, Liu S, Wu Y, Yang J, Qiao S, Zhou Y, Deng H, Li X, Shen Z. Hair levels of steroid, endocannabinoid, and the ratio biomarkers predict viral suppression among people living with HIV/AIDS in China. Clin Chim Acta 2022; 535:143-152. [PMID: 36041548 DOI: 10.1016/j.cca.2022.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Predicting viral suppression early is crucial to improving treatment outcomes among people living with HIV/AIDS (PLWH) in clinics. Viral suppression is affected by stress, making stress indicators a potential predictive factor. Most of previous studies used the self-report questionnaire as stress indicators, but there were great drawbacks due to its subjective. In contrast, end products of neuroendocrine systems such as hypothalamic-pituitaryadrenal (HPA) and hypothalamic-pituitary-gonadal (HPG) axes and endogenous cannabinoid system (ECS) that involved in regulating stress as objective stress indicators are urgently needed to predict viral suppression. Therefore, this study aimed to investigate whether neuroendocrine indictors can strongly predict viral suppression among PLWH in China. METHODS This cross-sectional study recruited 1198 PLWH on antiretroviral therapy (ART) in Guangxi, China. The concentrations of steroids (i.e., cortisol, cortisone, dehydroepiandrosterone, testosterone and progesterone) and endocannabinoids (i.e., N-arachidonoyl-ethanolamine and 1-arachidonyl glycerol) in hair were quantitated using the LC-APCI+-MS/MS method. To screen biomarkers that were used to predict viral suppression, association between hair biomarkers and viral suppression was examined by Mann-Whitney U test and partial correlation analyses. Receiver operating characteristic (ROC) curves and binary logistic regression based on the optimal classification threshold determined with ROC curves were used to estimate the prediction effects of the screened biomarkers on viral suppression (HIV-1 RNA < 200 copies/mL). RESULTS Hair levels of dehydroepiandrosterone (DHEA), and N-arachidonoyl-ethanolamine (AEA), and the cortisol to DHEA ratio exhibited significant intergroup differences (ps < 0.05) and were correlated with HIV viral load (ps < 0.05). Hair DHEA concentrations strongly predicted viral suppression, showing good classification performance (area under the ROC curve = 0.651, p < 0.01) and strong predictive utility (adjusted odd ratio = 2.324, 95 % confidence interval = 1.211-4.899, p < 0.05) with an optimal threshold of 10.5 pg/mg. A hair AEA concentration of 2.4 pg/mg was the optimal threshold for predicting viral suppression based on good classification performance (area under the ROC curve = 0.598, p < 0.05) and predictive power (adjusted odd ratio = 2.124, 95 % confidence interval = 1.045-4.244, p < 0.05). In hair levels of cortisol to DHEA, viral suppression was observed to be highly predictive, with a threshold of 10.5 pg/mg being optimal for classification (area under the ROC curve = 0.624, p < 0.05) and prediction (adjusted odd ratio = 0.421, 95 % confidence interval = 0.201-0.785, p < 0.05). CONCLUSION Hair levels of DHEA, and AEA and the cortisol to DHEA ratio were screened and verified to have significant predictive power with optimal thresholds for predicting viral suppression in a large-scale cohort. The data may provide new insights into predictors of successful virological outcomes and inform public health intervention and clinical practice to assist PLWH in achieving and sustaining viral suppression.
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Affiliation(s)
- Liuxi Chu
- Department of Brain and Learning Science, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China; Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Nanjing 210096, China; Institute of Child Development and Education, Research Center for Learning Science, Southeast University, Nanjing 210096, China
| | - Shuaifeng Liu
- Guangxi Center for Disease Control and Prevention, Nanning 530028, China
| | - Yan Wu
- Department of Brain and Learning Science, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China; Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Nanjing 210096, China; Institute of Child Development and Education, Research Center for Learning Science, Southeast University, Nanjing 210096, China
| | - Jin Yang
- Institute of Child Development and Education, Research Center for Learning Science, Southeast University, Nanjing 210096, China; School of Public Health, Southeast University, Nanjing 210009, China
| | - Shan Qiao
- Department of Health Promotion, Education and Behavior, South Carolina SmartState Center for Healthcare Quality (CHQ), Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Yuejiao Zhou
- Guangxi Center for Disease Control and Prevention, Nanning 530028, China
| | - Huihua Deng
- Department of Brain and Learning Science, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China; Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Nanjing 210096, China; Institute of Child Development and Education, Research Center for Learning Science, Southeast University, Nanjing 210096, China.
| | - Xiaoming Li
- Department of Health Promotion, Education and Behavior, South Carolina SmartState Center for Healthcare Quality (CHQ), Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.
| | - Zhiyong Shen
- Guangxi Center for Disease Control and Prevention, Nanning 530028, China.
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