|
1
|
Mejareh ZN, Abdollahi B, Hoseinipalangi Z, Jeze MS, Hosseinifard H, Rafiei S, Aghajani F, Dehnad A, Ardakani MF, Ahmadi S, Anbarhassani H, Asl MT, Kan FP, Aryankhesal A, Shabaninejad H, Aghalou S, Ghashghaee A. Global, regional, and national prevalence of depression among cancer patients: A systematic review and meta-analysis. Indian J Psychiatry 2021; 63:527-535. [PMID: 35136248 PMCID: PMC8793718 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_77_21] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 08/14/2021] [Accepted: 10/31/2021] [Indexed: 11/09/2022] Open
Abstract
This systematic review and meta-analysis aimed to provide a summary of the existing evidence on the prevalence of depression among cancer patients worldwide to assist health policymakers in adopting appropriate measures to prevent and control depression in these patients. EMBASE, Google Scholar, Scopus, PubMed, and Web of Science databases were searched for original studies published in English from January 2000 to July 2019. The studies were screened on the basis of quality and relevance criteria. The statistical analyses were conducted in the R software. Out of 182,521 cancer patients examined in 183 studies, 49,280 (~27%) had depression (95% confidence interval [CI] = 24%-30%). The highest prevalence of depression was among patients with colorectal cancer with 32% (95% CI = 20%-47%). Among countries, Pakistan with 43% (95% CI = 26%-64%), and among continents, Africa with 36% (95% CI = 29%-43%) had the highest prevalence of reported depression in cancer patients. Adjusting for sample size, the prevalence of depression among female cancer patients, 31% (95% CI = 26%-36%), was higher than men, 26% (95% CI = 21%-31%). The prevalence of depression among cancer patients is increasing by an average of 0.6% per year. The findings show higher prevalence of depression among cancer patients in underdeveloped and developing countries compared to the developed nations and the global average.
Collapse
Affiliation(s)
- Zahra Noorani Mejareh
- Medical School, Student Research Committee, Iran University of Medical Sciences, Tehran, Iran
| | - Bahare Abdollahi
- Medical School, Student Research Committee, Iran University of Medical Sciences, Tehran, Iran
| | - Zahra Hoseinipalangi
- Nursing and Midwife School, Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Melika Shamsian Jeze
- Medical School, Student Research Committee, Iran University of Medical Sciences, Tehran, Iran
| | - Hossein Hosseinifard
- Research Center for Evidence Based Medicine (RCEBM), Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sima Rafiei
- Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Farnaz Aghajani
- Nursing and Midwife School, Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Afsaneh Dehnad
- Center for Educational Research in Medical Sciences, Director of E learning Center, Iran University of Medical Sciences, Tehran, Iran
| | | | - Saba Ahmadi
- Nursing and Midwife School, Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Haniyeh Anbarhassani
- Medical School, Student Research Committee, Iran University of Medical Sciences, Tehran, Iran
| | - Mahsa Tohidi Asl
- Nursing and Midwife School, Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Pashazadeh Kan
- Nursing and Midwife School, Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Aidin Aryankhesal
- Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Hosein Shabaninejad
- Faculty of Medical Science (FMS), Population Health Sciences Institutes (PHSI), Newcastle University, Newcastle, UK
| | - Sepideh Aghalou
- Psychiatric Research Center, Roozbeh Hospital, Tehran University of Medical Science, Tehran, Iran
| | - Ahmad Ghashghaee
- Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Qazvin, Iran
- Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
|
3
|
Depression and Its Association with Health-Related Quality of Life in Postmenopausal Women in Korea. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15112327. [PMID: 30360460 PMCID: PMC6266352 DOI: 10.3390/ijerph15112327] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 10/19/2018] [Accepted: 10/21/2018] [Indexed: 12/30/2022]
Abstract
Menopause is associated with depressive symptoms that can significantly affect a woman’s quality of life. The objective of this study was to evaluate the association between depression and health-related quality of life (HRQoL) in postmenopausal women. In this cross-sectional descriptive study, participants (n = 3860) were selected from the 2013–2015 Korea National Health and Nutrition Examination Survey (KNHANES). The sociodemographic characteristics, medical history of depression, and EQ-5D scores of the participants were obtained from the KNHANES dataset. Age, educational level, and income were associated with HRQoL in these participants. Moreover, depression exerted a considerable influence on HRQoL in postmenopausal women. The adjusted odds ratios in participants with depression for the EQ-5D dimensions were as follows: 5.52 (95% CI = 4.04–7.55, p < 0.001) for anxiety/depression, 3.86 (95% CI = 2.78–5.36, p < 0.001) for usual activities, and 2.52 (95% CI = 1.68–3.78, p < 0.001) for self-care. Our findings suggest a strong association between depression and HRQoL. Hence, preventing the onset or exacerbation of depression may significantly improve quality of life in postmenopausal women.
Collapse
|