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Jiang N, Jin W, Fu Z, Cao H, Zheng H, Wang Q, Zhang Q, Ju K, Wang J. Effects of Social Support on Medication Adherence Among Patients with Schizophrenia: Serial Multiple Mediation Model. Patient Prefer Adherence 2024; 18:947-955. [PMID: 38737488 PMCID: PMC11086644 DOI: 10.2147/ppa.s460210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 04/29/2024] [Indexed: 05/14/2024] Open
Abstract
Purpose This study aims to explore the serial mediating effect of stigma and depression on the association between social support and medication adherence. Patients and Methods A cross-sectional survey was undertaken in the Changning District of Shanghai using a five-part questionnaire from August to December 2023. A convenient sampling method was employed, and 35 patients with schizophrenia were invited from each of the 9 streets in Changning District to participate in the survey, resulting in a total of 305 valid questionnaires collected. The questionnaire measured social support, stigma, depression, medication adherence, and demographic characteristics. Data analysis involved descriptive statistics, independent samples t-tests, ANOVA, Pearson correlation analysis, and the bootstrap method. Results There was a direct and significantly positive association between social support and medication adherence (β = 0.69, p < 0.001). Moreover, increased levels of stigma (β = - 0.45, p = 0.013) and depression (β = - 0.09, p = 0.017) were both associated with a decline in medication adherence. Bootstrapping analysis revealed that the association between social support and medication adherence operated indirectly through stigma (β = 0.11, 95% CI: 0.03, 0.18). Additionally, social support was indirectly associated with medication adherence through depression (β = 0.15, 95% CI: 0.04, 0.30). Further analysis indicated that social support had an indirect association with medication adherence through both stigma and depression (β = 0.04, 95% CI: 0.01, 0.07). Conclusion Stigma and depression serially mediate the association between social support and medication adherence among patients with schizophrenia. This serial multiple mediation model underscores the importance of integrating social support interventions with psychological interventions aimed at reducing stigma and depression, thereby effectively enhancing medication adherence in patients with schizophrenia.
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Affiliation(s)
- Nan Jiang
- Key Laboratory of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, People’s Republic of China
| | - Wei Jin
- Department of Patriotic Public Health and Health Promotion instruction, Shanghai Municipal Center for Health Promotion, Shanghai, People’s Republic of China
| | - Zhenghui Fu
- Shanghai Changning Mental Health Center (Affiliated to East China Normal University), Shanghai, People’s Republic of China
| | - He Cao
- Key Laboratory of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, People’s Republic of China
| | - Hong Zheng
- Shanghai Changning Mental Health Center (Affiliated to East China Normal University), Shanghai, People’s Republic of China
| | - Quqing Wang
- Key Laboratory of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, People’s Republic of China
| | - Qiongting Zhang
- Shanghai Changning Mental Health Center (Affiliated to East China Normal University), Shanghai, People’s Republic of China
| | - Kang Ju
- Shanghai Changning Mental Health Center (Affiliated to East China Normal University), Shanghai, People’s Republic of China
| | - Jiwei Wang
- Key Laboratory of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai, People’s Republic of China
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Dai N, Huang B, Gao T, Zheng Y, Shi C, Pu C, Yu X. Initial attitudes toward a drug predict medication adherence in first-episode patients with schizophrenia: a 1-year prospective study in China. BMC Psychiatry 2023; 23:907. [PMID: 38053101 PMCID: PMC10696849 DOI: 10.1186/s12888-023-05419-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 11/29/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Patients' attitudes toward medication have been shown to be a predictor of nonadherence to antipsychotic treatment. However, most previous studies that explored this relationship used a cross-sectional design. It is important to explore the association of attitudes toward drugs with discontinuation at different time points during antipsychotic treatment. In this study, we investigated the association of attitudes toward drugs (measured by the Drug Attitude Inventory (DAI-10)) with adherence at seven time points (baseline, 4 weeks, 8 weeks, 12 weeks, 26 weeks, 39 weeks, and 52 weeks) during 1 year of treatment. Factors that were potentially associated with attitudes toward drugs at the time point of interest were also studied. METHODS Demographic characteristics, psychopathology, social functioning, and attitudes toward drugs (measured by the DAI-10) were collected at baseline, 4 weeks, 8 weeks, 12 weeks, 26 weeks, 39 weeks and 52 weeks. The association of attitudes toward drugs (measured by DAI-10) with adherence at the seven time points was calculated using the Mann‒Whitney U test. The optimal cutoff point for the DAI-10 was then determined using receiver operating characteristic (ROC) analysis. Cox regression analysis was conducted to further investigate the association of DAI-10 scores with discontinuation, controlling for potential confounding variables. We used multiple regression analysis to identify the factors associated with DAI-10 scores. RESULTS Among the six time points, only baseline DAI-10 total scores were significantly different between the completed and discontinued groups (p = 0.004). Female sex and a baseline DAI-10 total score greater than - 1 were found to be independent protective factors against discontinuation of antipsychotic drug treatments during the 1-year follow-up. At baseline, the severity of the disease (CGI-s) and insight regarding the disease were shown to be associated with DAI-10 total scores. CONCLUSION Attitudes toward antipsychotic drugs at baseline were shown to play a crucial role in predicting treatment discontinuation. TRIAL REGISTRATION The data were collected from a clinical trial and the clinical trials.gov ID of the study is NCT01057849.
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Affiliation(s)
- Nan Dai
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, 295 Xichang Road, Kunming, Yunnan, China
| | - Bingjie Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan North Road, Beijing, China
| | - Tianqi Gao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan North Road, Beijing, China
| | - Yue Zheng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan North Road, Beijing, China
| | - Chuan Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan North Road, Beijing, China
| | - Chengcheng Pu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan North Road, Beijing, China.
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 51 Huayuan North Road, Beijing, China.
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Guo J, Lv X, Liu Y, Kong L, Qu H, Yue W. Influencing factors of medication adherence in schizophrenic patients: a meta-analysis. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:31. [PMID: 37188714 DOI: 10.1038/s41537-023-00356-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 04/13/2023] [Indexed: 05/17/2023]
Abstract
Medication adherence of schizophrenic patients is a growing public health problem. We conducted a meta-analysis on the influencing factors of medication compliance in schizophrenic patients. We searched PubMed, Embase, Cochrane Library, and Web Of Science for relevant articles published up to December 22, 2022. Combined odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess influencing factors. Egger's test, funnel plot, the trim and fill method, and meta-regression analysis were used to assess publication bias. A total of 20 articles were included in the analysis. Twenty influencing factors were divided into seven categories: drug factors (OR = 1.96, 95% CI: 1.48-2.59), problem behavior (OR = 1.77, 95% CI: 1.43-2.19), income and quality of life (OR = 1.23, 95% CI: 1.08-1.39), personal characteristics (OR = 1.21, 95% CI: 1.14-1.30), disease factors (OR = 1.14, 95% CI: 1.98-1.21), support level (OR = 0.54, 95% CI: 0.42-0.70), and positive attitude and behavior (OR = 0.52, 95% CI: 0.45-0.62). This meta-analysis found that drug factors, disease factors, problem behavior, low income and quality of life, and factors related to personal characteristics appear to be risk factors for medication adherence in people with schizophrenia. And support level, positive attitude and behavior appear to be protective factors.
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Affiliation(s)
- Jing Guo
- Department of Psychology, Medical Humanities Research Center, Binzhou Medical University, Yantai, 264003, China
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, 100191, China
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
- NHC Key Laboratory of Mental Health (Peking University), Beijing, 100191, China
| | - Xue Lv
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, 100191, China
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
- NHC Key Laboratory of Mental Health (Peking University), Beijing, 100191, China
- The First Affiliated Hospital of Xinxiang Medical College, Xinxiang, Henan, 453100, China
| | - Yan Liu
- Department of Psychology, Medical Humanities Research Center, Binzhou Medical University, Yantai, 264003, China
| | - Lingling Kong
- Department of Psychology, Medical Humanities Research Center, Binzhou Medical University, Yantai, 264003, China
| | - Haiying Qu
- Department of Psychology, Medical Humanities Research Center, Binzhou Medical University, Yantai, 264003, China.
| | - Weihua Yue
- Department of Psychology, Medical Humanities Research Center, Binzhou Medical University, Yantai, 264003, China.
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, 100191, China.
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
- NHC Key Laboratory of Mental Health (Peking University), Beijing, 100191, China.
- The First Affiliated Hospital of Xinxiang Medical College, Xinxiang, Henan, 453100, China.
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China.
- Chinese Institute for Brain Research, Beijing, 102206, China.
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Mobini S, Allahbakhshian A, Shabanloei R, Sarbakhsh P. Illness Perception, Self-Efficacy, and Medication Adherence in Patients With Coronary Artery Disease: A Path Analysis of Conceptual Model. SAGE Open Nurs 2023; 9:23779608231171772. [PMID: 37334063 PMCID: PMC10272659 DOI: 10.1177/23779608231171772] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 04/02/2023] [Accepted: 04/07/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction Illness perception and self-efficacy in patients with coronary artery disease (CAD) may affect medication adherence, which is one of the most important challenges in disease management in this group of patients. Objective The present study aimed to investigate the factors influencing medication adherence in CAD patients, especially the effect of illness perception and self-efficacy. Methods This study was cross-sectional and conducted from April to September 2021. A total of 259 patients with confirmed CAD were selected by convenience sampling method based on inclusion criteria. Illness perception, self-efficacy, and medication adherence were investigated using Brief IPQ, SCSES, and MARS_10 questionnaires, respectively. The data were analyzed using the STATA software (version 14) and the regression path analysis method. Results Patients had moderate illness perception and high self-efficacy, and 61.8 of them adhered to their medication regimen. Greater illness perception, better self-efficacy, and higher education had a positive effect on medication adherence, and increasing age had a negative effect on it. The final path model shows a good fit of the data in the model (χ2: 0.37, df: 274, χ2/df: 0.36, CFI: 1, IFI: 0.95, TLI: 1.07, and RMSEA: 0.00). Conclusion The results of the present study suggest that patients' illness perception can play an important role in predicting self-efficacy in disease management and the level of medication adherence in patients with CAD. To improve self-efficacy and medication adherence, future intervention studies should focus on the patient's illness perceptions and their improvement.
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Affiliation(s)
- Soheil Mobini
- Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran
| | - Atefeh Allahbakhshian
- Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran
| | - Reza Shabanloei
- Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran
| | - Parvin Sarbakhsh
- Faculty of Public Health, Tabriz University of Medical Sciences, Tabriz, Iran
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Li Z, Liu X, Ma R, Feng S, Zheng S, Zhu H, Yin D, Jia H. Cyclothymic Temperament, Physical Neglect, and Earlier Age of Onset Predict Poor Medication Adherence in Patients With Bipolar Disorder. J Nerv Ment Dis 2023; 211:35-39. [PMID: 36095277 DOI: 10.1097/nmd.0000000000001573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
ABSTRACT Individual-level risk factors may predict poor medication adherence (PMA) in bipolar disorder (BD). This study aimed to evaluate the association between affective temperament, childhood trauma, age of first onset, and PMA in patients with BD in China. A total of 168 patients completed the eight-item Morisky Medication Adherence Scale; the Short Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Autoquestionnaire; and the Childhood Trauma Questionnaire-Short Form. Scores were then compared between PMA and non-PMA groups. Binary logistic regression showed that age of first onset was negatively correlated with PMA ( β = -0.106, p = 0.002), whereas physical neglect and cyclothymic temperament were positively correlated with PMA ( β = 0.143, p = 0.029; β = 0.19, p = 0.001, respectively). These findings indicate that cyclothymic temperament, physical neglect, and earlier onset are predictors of PMA in patients with BD and that such patients may require further attention to improve medical compliance.
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Wang H, Liao Y, Guo L, Zhang H, Zhang Y, Lai W, Teopiz KM, Song W, Zhu D, Li L, Lu C, Fan B, McIntyre RS. Association between childhood trauma and medication adherence among patients with major depressive disorder: the moderating role of resilience. BMC Psychiatry 2022; 22:644. [PMID: 36241986 PMCID: PMC9563806 DOI: 10.1186/s12888-022-04297-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/04/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Suboptimal medication adherence is a major reason for failure in the management of major depressive disorder (MDD), childhood trauma might be an essential risk factor of suboptimal medication adherence. This study aimed to comprehensively explore the associations between different types of childhood trauma and medication adherence among patients with MDD, and to test whether resilience has moderating effects on the foregoing associations. METHODS Participants were from the Depression Cohort in China (ChiCTR registry number 1900022145), 282 MDD patients with completed both baseline and 12-weeks follow-up investigations were included in this study. The diagnosis of MDD was assessed by trained psychiatrists using the Mini-International Neuropsychiatric Interview (M.I.N.I.). Childhood trauma was evaluated using the Childhood Trauma Questionnaire-28 item Short Form (CTQ-SF), and resilience was evaluated using the Connor-Davidson Resilience Scale (CD-RISC). Demographic characteristics, depression symptoms, anxiety symptoms, suicidal ideation, suicidal attempt, insomnia symptoms, and painful somatic symptoms were also investigated. Participants were divided into groups of optimal and suboptimal adherence based on their Medication Adherence Rating Scale scores. Logistic regression and stratified analyses were performed. RESULTS A total of 234 participants (83%) reported suboptimal medication adherence. After adjusting for covariates, CTQ total scores (AOR = 1.03, 95%CI = 1.01-1.06), CTQ measures of sexual abuse (AOR = 1.17, 95%CI = 1.01-1.37), and CTQ measures of physical neglect (AOR = 1.12, 95%CI = 1.02-1.23) were all associated with an increased likelihood of suboptimal adherence. There were significant moderating effects of resilience on the associations of childhood trauma (P = 0.039) and physical neglect (P = 0.034) with medication adherence. The stratification analyses showed that CTQ total scores and CTQ measures of physical neglect were independently associated with an increased risk of suboptimal adherence among patients with MDD with low-resilience or moderate-resilience, while not significantly associated with suboptimal adherence in those with high-resilience. CONCLUSION Childhood trauma was a significant risk factor of suboptimal adherence among patients with MDD, and resilience moderated the foregoing association. Obtaining a history of childhood trauma and assessing resilience may help identify patients with suboptimal adherence when providing MDD pharmacotherapy. Psychiatrists may consider enhancing resilience to cope with the adverse effects of childhood trauma on medication adherence.
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Affiliation(s)
- Hongqiong Wang
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080 People’s Republic of China ,grid.12981.330000 0001 2360 039XGuangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China ,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, People’s Republic of China
| | - Yuhua Liao
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080 People’s Republic of China ,grid.12981.330000 0001 2360 039XGuangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China ,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, People’s Republic of China ,grid.512745.00000 0004 8015 6661Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, 7Huaming road, Shenzhen, 518000 People’s Republic of China
| | - Lan Guo
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080 People’s Republic of China ,grid.12981.330000 0001 2360 039XGuangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China ,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, People’s Republic of China
| | - Huimin Zhang
- grid.512745.00000 0004 8015 6661Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, 7Huaming road, Shenzhen, 518000 People’s Republic of China
| | - Yingli Zhang
- grid.452897.50000 0004 6091 8446Department of Depressive Disorder, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, People’s Republic of China
| | - Wenjian Lai
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080 People’s Republic of China ,grid.12981.330000 0001 2360 039XGuangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China ,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, People’s Republic of China
| | - Kayla M. Teopiz
- grid.17063.330000 0001 2157 2938Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8 Canada
| | - Weidong Song
- grid.512745.00000 0004 8015 6661Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, 7Huaming road, Shenzhen, 518000 People’s Republic of China
| | - Dongjian Zhu
- grid.512745.00000 0004 8015 6661Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, 7Huaming road, Shenzhen, 518000 People’s Republic of China
| | - Lingjiang Li
- grid.216417.70000 0001 0379 7164Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Ciyong Lu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080, People's Republic of China. .,Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, People's Republic of China. .,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, People's Republic of China.
| | - Beifang Fan
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, 7Huaming road, Shenzhen, 518000, People's Republic of China.
| | - Roger S. McIntyre
- grid.17063.330000 0001 2157 2938Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8 Canada ,grid.231844.80000 0004 0474 0428Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8 Canada
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Türkoğlu Dikmen SN, Yüksel A, Bahadir-Yilmaz E. The effect of medication adherence on psychosocial adjustment to body weight, image, and self-esteem in patients with schizophrenia. Perspect Psychiatr Care 2022; 58:2505-2512. [PMID: 35388488 DOI: 10.1111/ppc.13086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 03/20/2022] [Accepted: 03/23/2022] [Indexed: 10/18/2022] Open
Abstract
PURPOSE The present study aimed to evaluate the effect of medication adherence on psychosocial adjustment to body weight, image, and self-esteem in patients with schizophrenia. DESIGN AND METHODS This cross-sectional and correlational study consisted of 154 patients with schizophrenia registered in a Community Mental Health Center. FINDINGS The patients had moderate psychosocial adjustment to body weight, image, and self-esteem, and 56.5% had poor medication adherence. There was a significant positive correlation between participants' medication adherence and psychosocial adjustment to body weight, image, and self-esteem. PRACTICE IMPLICATIONS Psychiatric nurses should support patients regarding medication adherence, and psychosocial adjustment to body weight, image, and self-esteem.
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Affiliation(s)
| | - Arzu Yüksel
- Department of Psychiatric Nursing, Faculty of Health Sciences, Aksaray University, Aksaray, Turkey
| | - Emel Bahadir-Yilmaz
- Department of Psychiatric Nursing, Faculty of Health Sciences, Giresun University, Giresun, Turkey
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Fan H, Gao X, Yao X, Li Z, Zou H, Campbell-Grossman C, Liu S, Zhang F, Zhang C. Identification of four patterns for self-management behaviors in clients with schizophrenia: A cross-sectional study. Arch Psychiatr Nurs 2022; 37:10-17. [PMID: 35337433 DOI: 10.1016/j.apnu.2021.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/07/2021] [Accepted: 12/19/2021] [Indexed: 01/10/2023]
Abstract
This study aimed to describe different patterns of self-management behaviors among clients with schizophrenia in China. Two hundred twenty-eight clients with schizophrenia living in eight communities of Beijing were investigated using the Self-Management Instrument for Persons with Schizophrenia and a Demographic and Clinical Characteristics Questionnaire. Cluster analysis was performed to categorize the data. Four distinct self-management behavior patterns and variables of clients associated with non-adherent self-management were identified. The self-management behaviors and demographic characteristics were similar in each pattern but different among patterns. These findings could guide the development of more personalized and cost-effective self-management interventions for different patterns of clients in the future.
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Affiliation(s)
- Huiying Fan
- International Nursing School, Hainan Medical University, Haikou, Hainan 571199, China
| | - Xing Gao
- International Nursing School, Hainan Medical University, Haikou, Hainan 571199, China
| | - Xiuyu Yao
- School of Nursing, Peking Union Medical College, Peking 100144, China
| | - Zheng Li
- School of Nursing, Peking Union Medical College, Peking 100144, China.
| | - Haiou Zou
- School of Nursing, Peking Union Medical College, Peking 100144, China
| | | | - Shuang Liu
- Department of Obstetrics and Gynecology, Tongji Hospital, Wuhan, Hubei 430030, China
| | - Fangyuan Zhang
- Department of Lung Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin 300202, China
| | - Chong Zhang
- Department of Psychiatry, Tiancun Road Community Health Service Center, Peking 100049, China
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