Prevalence of depression among university students in low and middle income countries (LMICs): a systematic review and meta-analysis

2020 ◽  
Vol 274 ◽  
pp. 911-919 ◽  
Author(s):  
Parveen Akhtar ◽  
Lu Ma ◽  
Ahmed Waqas ◽  
Sadiq Naveed ◽  
Yixuan Li ◽  
...  
Keyword(s):  
Systematic Review ◽  
University Students ◽  
Meta Analysis ◽  
Middle Income ◽  
Middle Income Countries ◽  
Prevalence Of Depression ◽  
Low And Middle Income

scholarly journals The prevalence of depression symptoms among infertile women: a systematic review and meta-analysis

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Zahra Kiani ◽  
Masoumeh Simbar ◽  
Sepideh Hajian ◽  
Farid Zayeri
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Depression Symptoms ◽  
Middle Income ◽  
Infertile Women ◽  
Middle Income Countries ◽  
Pooled Prevalence ◽  
Prevalence Of Depression ◽  
Low And Middle Income

Abstract Background Infertile women’s mental health problems, including depression, are key fertility health issues that affect infertile women more severely than infertile men. Depression may threaten the health of individuals and reduce the quality of their lives. Considering the role and impact of depression on responses to infertility treatments, a systematic review and meta-analysis were conducted to investigate the prevalence of depression symptoms among infertile women. Methods International databases (PubMed, Cochrane Library, Web of Sciences, Scopus, Embase, and PsycINFO), national databases (SID and Magiran), and Google Scholar were searched by two independent reviewers for articles published from 2000 to April 5, 2020. The search procedure was performed in both Persian and English using keywords such as “depression,” “disorders,” “infertility,” “prevalence,” and “epidemiology.” The articles were evaluated in terms of their titles, abstracts, and full texts. The reviewers evaluated the quality of the articles using the Newcastle–Ottawa Scale, after which they analyzed the findings using STATA version 14. The I2 and Egger’s tests were performed to examine heterogeneity and publication bias, respectively. Results Thirty-two articles were subjected to the meta-analysis, and a random effects model was used in the examination given the heterogeneity of the articles. The samples in the reviewed studies encompassed a total of 9679 infertile women. The lowest and highest pooled prevalence rates were 21.01% (95% confidence interval [CI]: 15.61–34.42), as determined using the Hospital Anxiety and Depression Scale, and 52.21% (95% CI: 43.51–60.91), as ascertained using the Beck Depression Inventory, respectively. The pooled prevalence values of depression among infertile women were 44.32% (95% CI: 35.65–52.99) in low- and middle-income countries and 28.03% (95% CI: 19.61–36.44) in high-income countries. Conclusion The prevalence of depression among infertile women was higher than that among the general population of a given country. Especially in low- and middle-income countries, appropriate measures, planning, and policy that target the negative effects of depression on infertile women’s lives should be established to reduce related problems.

scholarly journals Seroprevalence of SARS CoV-2 infection in Low and Middle-Income Countries and risk classification in the context of rolling out vaccine candidate across these countries : Protocol for a systematic review and meta-analysis

2021 ◽  
Author(s):  
Martin Ackah ◽  
Louise Ameyaw ◽  
Kwadwo Owusu Akuffo ◽  
Cynthia Osei Yeboah ◽  
Nana Esi Wood ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Vaccine Candidate ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Research Database ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low Middle Income Countries ◽  
Low And Middle Income

Abstract Background Seroprevalence of SARS Cov-2 provides a good indication of the extent of exposure and spread in the population, as well as those likely to benefit from a vaccine candidate. To date, there is no published or ongoing systematic review on the seroprevalence of COVID-19 in Low- and Middle-Income Countries (LMICs). This systematic review and meta-analysis will estimate SARS Cov-2 seroprevalence and the risk factors for SARS Cov-2 infection in LMICs.Methods We will search PubMed, EMBASE, WHO COVID-19 Global research database, Google Scholar, the African Journals Online, LILAC, HINARI, medRxiv, bioRxiv and Cochrane Library for potentially useful studies on seroprevalence of COVID-19 in LMICs from December 2019 to December 2020 without language restriction. Two authors will independently screen all the articles, select studies based on pre-specified eligibility criteria and extract data using a pre-tested data extraction form. Any disagreements will be resolved through discussion between the authors. The pooled seroprevalence of SARS CoV-2 for people from LMICs will be calculated. Random effects model will be used in case of substantial heterogeneity in the included studies, otherwise fixed-effect model will be used. A planned subgroup, sensitivity and meta-regression analyses will be performed. For comparative studies, the analyses will be performed using Review Manager v 5.4; otherwise, STATA 16 will be used. All effect estimates will be presented with their confidence intervals.Discussion The study will explore and systematically review empirical evidence on SARS Cov-2 seroprevalence in LMICs, and to assess the risk factors for SARS Cov-2 infection in Low Middle Income Countries in the context of rolling out vaccines in these countries. Finally, explore risk classifications to help with the rolling out of vaccines in LMICs.Systematic review registration: The protocol for this review has been registered in PROSPERO (CRD422020221548).

Sign in / Sign up

Export Citation Format

Share Document