Prevalence of major depressive disorder in the general population of Iran: A systematic review and meta-analysis

Gharraee, Banafsheh; Tajrishi, Komeil Zahedi; Sheybani, Farshad; Tahmasbi, Najmeh; Mirzaee, Mohsen; Farahani, Hojjatollah; Naserbakht, Morteza

doi:10.47176/mjiri.33.151

Cited by 12 publications

(11 citation statements)

References 13 publications

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“…To the best of our knowledge, this systematic review and metaanalysis included the largest number of studies and largest overall sample size estimating MDD prevalence in the Chinese population to date. The point prevalence in this meta-analysis was 1.1% (95% CI: 0.9-1.4%), which is significantly lower than the corresponding findings of previous meta-analyses in other countries; for instance, the point prevalence was 4.1% (95% CI: 3.1-5.5%) in a meta-analysis of MDD in Iran (62). Similarly, the overall 12-month prevalence (1.6%; 95% CI: 1.0-2.5%) and lifetime prevalence (1.8%; 95% CI: 1.5-2.2%) estimates of MDD in this meta-analysis were noticeably lower than rates from previous studies; for instance, in the World Mental Health Survey (WMH) the mean 12-month prevalence of MDD was 5.9% and ranged from 3.8% to 10.4% while the mean lifetime prevalence of MDD was 11.1%, and ranged from 6.5% to 18.4% in low-middle income countries (5).…”

Section: Discussioncontrasting

confidence: 87%

Prevalence of Major Depressive Disorder Among Adults in China: A Systematic Review and Meta-Analysis

et al. 2021

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Background: Prevalence estimates of major depressive disorder (MDD) among adults in China have varied widely between studies. In this systematic review and meta-analysis, the overall prevalence of MDD in the Chinese population was estimated from published epidemiological studies and potential moderators that account for variability in estimates were assessed.Methods: A systematic literature search was conducted in PubMed, EMBASE, Web of Science, PsycINFO, China National Knowledge Internet (CNKI), and WanFang databases to identify relevant studies. Data analyses were conducted using the Comprehensive Meta-Analysis Version 2.0.Results: Forty studies comprising 1,024,087 subjects were included. The pooled point, 12-month, and lifetime prevalence rates of MDD in China were 1.1% (95% CI: 0.9–1.4%), 1.6% (95% CI: 1.0–2.5%), and 1.8% (95% CI: 1.5–2.2%), respectively. Subgroup and meta-regression analyses revealed gender, marital status, survey year, being published in English language, use of the Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic systems and age as significant moderators of MDD prevalence.Conclusion: The overall prevalence of MDD in the Chinese population appears to be lower than that of most countries, but the rates have been increasing over time and are elevated in particular demographic subgroups. Due to the negative consequences of MDD, effective preventive measures, early identification, and timely treatments are still important and should be offered to those in need.

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Section: Discussioncontrasting

confidence: 87%

Prevalence of Major Depressive Disorder Among Adults in China: A Systematic Review and Meta-Analysis

et al. 2021

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“…According to a national study conducted in Iran, depression was the third health problem in this country 2 . Furthermore, the studies showed that depression was higher in adult females (about 1.7 times higher), compared to males 7 , 8 . In Iran, major depression is the most prevalent mood disorder (2.98 % in total, 4.38 % in adult females) 9 .…”

Section: Introductionmentioning

confidence: 93%

Association between Dietary Patterns and Major Depression in Adult Females: A Case-Control Study

2021

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Background: Depression is one of the most common mental disorders. This study aimed to determine the association between dietary patterns and major depression in adult females. Study design: A case-control study. Methods: This study was conducted on adult females suffering from major depression within the age range from 19 to 65 years. The total participants of this study included 170 cases and 340 controls. Dietary intakes were collected using a 168-item validated semi-quantitative food-frequency questionnaire. Household food security was measured using a locally adapted Household Food Insecurity Access Scale. Moreover, the depression status of the adult females was assessed through a validated "Beck" questionnaire. Logistic regression was utilized to assess the association between dietary pattern scores and depression. Results: The mean ±SD ages of the participants were 36.97 ±11.28 and 36.07 ±10.58 years in the case and control groups, respectively (P=0.374), and five major dietary patterns were extracted in this study. The odds ratio (OR) in the last adjusted model was (OR: 0.61; 95% CI: 0.46, 0.81); therefore, the "Healthy pattern" was significantly inversely associated with the odds of depression. Adherence to the "Western pattern" significantly increased depression by 29% (OR: 1.29; 95% CI: 1.06, 1.59). Furthermore, the "Traditional pattern" was positively associated with depression (OR: 1.16; 95% CI: 0.94, 1.43). There was no significant association between "Sugar and fast food" and "red meat and oils" dietary pattern and depression. Conclusions: Healthy dietary pattern reduces the risk of depression in adult females; however, the western and traditional dietary patterns increases this risk.

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“…It must also be noted that the study is done on an Iranian sample of depressed patients; therefore, cultural factors of MDD should have been accounted for to be able to make more firm conclusions based on the reported results. It has been noted in a recent epidemiological review that the prevalence of MDD is twice as high for women in Iran and some neighboring countries (Gharraee et al., 2019 ) thus the cultural and geographical context in relation to sex may have affected the result tendencies and thus must be considered in future investigations to understand sex differences in treatment response to rTMS.…”

Section: Discussionmentioning

confidence: 99%

Sex differences in rTMS treatment response: A deep learning‐based EEG investigation

et al. 2022

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Introduction The present study aimed to investigate sex differences in response to repetitive transcranial magnetic stimulation (rTMS) in Major Depressive Disorder (MDD) patients. Identifying the factors that mediate treatment response to rTMS in MDD patients can guide clinicians to administer more appropriate, reliable, and personalized interventions. Methods In this paper, we developed a novel pipeline based on convolutional LSTM‐based deep learning (DL) to classify 25 female and 25 male patients based on their rTMS treatment response. Results Five different classification models were generated, namely pre‐/post‐rTMS female (model 1), pre‐/post‐rTMS male (model 2), pre‐rTMS female responder versus pre‐rTMS female nonresponders (model 3), pre‐rTMS male responder vs. pre‐rTMS male nonresponder (model 4), and pre‐rTMS responder versus nonresponder of both sexes (model 5), achieving 93.3%, 98%, 95.2%, 99.2%, and 96.6% overall test accuracy, respectively. Conclusion These results indicate the potential of our approach to be used as a response predictor especially regarding sex‐specific antidepressant effects of rTMS in MDD patients.

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Prevalence of major depressive disorder in the general population of Iran: A systematic review and meta-analysis

Cited by 12 publications

References 13 publications

Prevalence of Major Depressive Disorder Among Adults in China: A Systematic Review and Meta-Analysis

Prevalence of Major Depressive Disorder Among Adults in China: A Systematic Review and Meta-Analysis

Association between Dietary Patterns and Major Depression in Adult Females: A Case-Control Study

Sex differences in rTMS treatment response: A deep learning‐based EEG investigation

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