Prevalence of mental disorders in the general population referring to a medical educational center in Rasht, Iran

Yousefzadeh, Shahrokh; Pilafkan, J; Balasi, Leila Rouhi; Hosseinpour, Marieh; khodadady, naeima

doi:10.18869/acadpub.johe.3.1.32

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…In line with other studies ( 10 , 44 , 45 ), the current study’s findings showed a positive association among depression and anxiety symptoms and a history of job loss, mental illness, feeling hopeless about the future, and having other medical conditions. The strongest association in this area was with feeling hopeless about the future; those who felt hopeless about the future were 5.38 and 3.33 times more likely to experience depression and anxiety symptoms, respectively.…”

Section: Discussionsupporting

confidence: 92%

“…According to the findings of previous studies ( 44 , 45 ), there was an inverse association between depression symptoms and high economic status in the present study. The high prevalence of mental disorders in those with low economic status may be due to a number of factors, including not having enough income to meet even the most basic needs, the need for entertainment, the monotony of life, and a lack of hope for the future ( 40 , 44 , 45 ).…”

Section: Discussionsupporting

confidence: 88%

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High prevalence of mental disorders: a population-based cross-sectional study in the city of Ilam, Iran

et al. 2023

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AimTo determine the age- and sex-standardized prevalence and risk factors of depression, anxiety, and stress symptoms in the city of Ilam.MethodIn this population-based cross-sectional study, 1,350 people were invited using a multi-stage stratified cluster random sampling method. Depression, anxiety, and stress symptoms were measured using the DASS-21 standard questionnaire. For data analysis, multiple ordinal logistic regression was used in Stata version 12 software. A significance level of 5% was considered.ResultsThe data of 1,431 people were analyzed. The age- and sex-standardized prevalence (95% CI) of severe depression, anxiety, and stress symptoms was 19.90% (17.64 to 22.16), 25.95% (23.48 to 28.43), and 15.75% (13.69 to 17.81), respectively. There was a positive association among depression symptoms with female sex (OR: 1.52; p < 0.003), Kurdish ethnicity (OR: 2.15; p < 0.004), low educational level (OR: 1.37; p < 0.031), job losing history (OR: 1.64; p < 0.001), mental disorders history (OR: 2.17; p < 0.001), hopelessness for the future (OR: 5.38; p < 0.001), and history of other diseases (OR: 1.67; p < 0.001). There was a positive association among anxiety symptoms with female sex (OR: 1.72; p < 0.001), job losing history (OR: 1.53; p < 0.003), mental disorders history (OR: 2.11; p < 0.001), hopelessness to future (OR: 3.33; p < 0.001) and history of other diseases (OR: 1.97; p < 0.001). Hopelessness for the future and a history of other diseases were the most effective variables for anxiety symptoms and stress symptoms.ConclusionA significant proportion of Ilam’s urban population suffers from mental disorders. Increasing people’s awareness, establishing counseling centers, and improving infrastructure should be considered by mental health policymakers who work in the province.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 88%

High prevalence of mental disorders: a population-based cross-sectional study in the city of Ilam, Iran

et al. 2023

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Association of Non-Organizational Factors and Occupational Accidents: A Field Study based on Structural Equation Modeling

Farahbod

Ghiyasi

Soltanzadeh

2021

JOHE

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Article InfoBackground: Non-organizational or non-occupational factors are among the most important risk factors that significantly influence the emergence of occupational accidents. This study aimed to investigate the association between non-organizational factors and occupational accidents. Materials and Methods: In this descriptive study the structural equation modeling was applied on the data that was collected using a self-developed questionnaire. The random selected sample (n=360) included damaged people referred to the emergency department in Tehran province for treatment during a five-year period . The data analysis was carried out using IBM SPSS AMOS v. 23.0. The goodness of fit indices, including χ2/df, RMSEA, GFI, CFI, NFI, and TLI, were evaluated. Results: The mean age and work experience of the experts' panel was 37.52±2.73 and 9.90±3.18 years, respectively. The Cronbach's alpha coefficient of the non-organizational factors of occupational accidents was calculated as 0.86. Generally, 35.3% of accidents were due to slip and fall, as well as falling the heavy object with 24.1%. The nonorganizational index was estimated at 2.95. The factor analysis findings showed a statistically significant association between the non-organizational factors and the occupational accidents (p<0.05). Conclusion:The results showed a reverse and significant association between the index of non-organizational factors with the title and type of accidents, cause of accidents, type of outcome or damage caused by accidents, and time of accident occurrence. Additionally, this index indicated a direct significant association with the gender, age, work experience, education, marital status, and the type of shift work schedule of the affected people.

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Health literacy level of primiparous women with postpartum depression attending to Kabul hospitals, Afghanistan

Ezadi

Lamyian

Montazeri

2021

Payesh

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Prevalence of mental disorders in the general population referring to a medical educational center in Rasht, Iran

Cited by 3 publications

References 12 publications

High prevalence of mental disorders: a population-based cross-sectional study in the city of Ilam, Iran

High prevalence of mental disorders: a population-based cross-sectional study in the city of Ilam, Iran

Association of Non-Organizational Factors and Occupational Accidents: A Field Study based on Structural Equation Modeling

Health literacy level of primiparous women with postpartum depression attending to Kabul hospitals, Afghanistan

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