Showing 7 results for Depression
M Payab, Ar Dorostymotlagh, Mr Eshraghian, R Rostami, F Siassi, M Ahmadi,
Volume 8, Issue 1 (7-2012)
Abstract
Background & Objectives: Food insecurity has been a global concern. The purpose
of the present study was to examine the relationship between household food
insecurity and depression in mothers with school children in Ray city.
Methods: A cross-sectional survey of 430 mothers of school children was
conducted in 2010 in Ray city. We employed USDA food security questionnaire.
The prevalence of depression in mothers was assessed by Beck Depression
Inventory (DBI).
Results: Household food insecurity was identified approximately in fifty
percent of participants and frequency of depression was 51.4% in mothers.
Depression in ‘food secure' group was 34.6%, and in ‘food insecure with hunger'
group was 77.8%. There was a positive relationship between depression and food
insecurity in mothers having primary school children living in Ray.
Conclusion: The
findings of this study revealed that level of food insecurity among mothers
seems high. This study highlights the need to integrate programs addressing
food insecurity and poor mental health for mothers.
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Hr Koohestani , N Baghcheghi ,
Volume 8, Issue 3 (12-2012)
Abstract
Background & Objectives: Despite the extensive interest shown in depression occurring in stroke patients, little attention has been paid focus on depression of caregivers of stroke survivors particularly in Iran therefore this study was designed to assess the prevalence of depressive symptoms among caregivers of stroke survivors and to determine putative risk factors.
Methods: This cross-sectional analytic study was carried out among 140 caregiver's stroke patients were admitted in Valiasr Hospital affiliated to Arak University of Medical Sciences. The caregivers were interviewed before discharge, at 1 month and 3 months after that. Depression was evaluated with the Beck Depression Inventory. The ability of the person with a stroke to perform their activities of daily living was measured using the Modified Barthel Index (MBI).
Results: Most of the caregivers were the spouse of the patient (70.71% n= 95). The mean age of them was 57.1 (SD=11.2) years old. A total of 33.57% to 42.16% of all caregivers were depressed during the follow-up. During the follow-up, caregivers’ scores for depression statistically significant were increased. Caregiver depression was associated with stroke modified barthel index score and age of the patient.
Conclusion: The depressive symptoms of caregivers seem to have high rate. This suggests that assessment of caregivers' social, and emotional needs should be included as part of the general rehabilitation plan of the stroke patient.
E Masoudnia,
Volume 8, Issue 4 (3-2013)
Abstract
Background & Objectives: The etiology of adolescent’s depression is very complex one of variables that has been paid more attention in recent years is using modern communication technology particularly internet. The aim of this study was to determine the relationship between problematic cyberspace use and adolescent's depression disorder in Yazd city.
Methods: A total of 535 (218 male and 317 female) high school students were recruited. Internet Addiction Test (IAT) and Child Depression Inventory (CDI) were used to evaluate the presence and severity of problematic internet use and also depression.
Results: Approximately twenty-two percent adolescents (21.7%) met the criteria for problematic cyberspace use. The presence of problematic cyberspace use was significantly associated withdepression, generally
(P < 0.01) and its components: Sadness/Somatic Worries (P < 0.01) Negative Self-Image/ pessimism
(P < 0.01) self-blame (P < 0.01) lethargy (P < 0.01) and isolation (P < 0.01). Hierarchical multiple linear regression analysis showed that problematic cyber use, explained for 23.7% of the variance of depression.
Conclusion: Problematic cyber use is a powerful risk factor for adolescent's mood health and increase the risk of depression disorder among adolescents. Therefore, in order to prevention of negative effects of problematic cyber use on adolescents mood health, behavioral and cognitive interventions to change cyberspace use pattern is seems necessary.
Mr Maracy, S Iranpour, A Esmaillzadeh, Ghr Kheirabadi,
Volume 10, Issue 1 (6-2014)
Abstract
Background & Objectives: Since the human diet is a combination of different foods and that this combination will affect the body differently from when these foods are received separately, the evaluation of dietary patterns is of great importance. The primary aim of this study was to examine the association between dietary patterns during pregnancy and postpartum depression.
Methods : This population-based, cross-sectional study was conducted on 771 women who attended the Ardabil's health care network. This study was carried out in a period of 4 months. In this study, systematic random sampling was used. Dietary data was collected using the Willett-format Dish-based 106 items Semi-quantitative Food Frequency Questionnaire (DS-FFQ) which was designed and validated specifically for Iranian adults. Dietary patterns were identified through exploratory factor analysis based on 34 predefined food groups. In the present study, individuals who obtained a rating of 13 or higher were considered to be suffering from postpartum depression. Logistic regression was used to estimate OR and 95% CI for postpartum depression in each quartile of patterns.
Results : In the present study, three dietary patterns were identified: mixed dietary pattern, semi-healthy dietary pattern, and fruits and vegetables dietary pattern. The last one was significantly associated with a reduced risk of postpartum depression.
Conclusion : The findings show that a diet of fruits and vegetables during pregnancy is associated with a reduction in the risk of PPD. Additional studies are recommended to confirm these finding.
Ma Soleimani, N Dalvand, S Zarabadi Pour , Z Alimoradi, A Görgülü, N Bahrami,
Volume 17, Issue 1 (5-2021)
Abstract
Background and Objectives: Accurate assessment of patients' death depression requires a specific tool that is appropriate to the culture of each community. Therefore, the aim of this study was to evaluate the psychometric properties of the Death Depression Scale in women with breast cancer.
Methods: In this methodological study, 246 breast cancer patients presenting to Qazvin Provincial Hospital completed the 17-item Templar Death Depression Scale. Psychometric properties of this scale were evaluated by exploratory and confirmatory factor analysis. Reliability was also assessed using Cronbach's alpha, omega and composite reliability.
Results: Exploratory factor analysis showed that six items in the Persian version did not acquire the required loading factor, and were omitted. The remaining eleven items as a single factor accounted for 66.91% of the variance of this concept. In confirmatory factor analysis, 11 items had appropriate fit indices (χ2 = 97.664, p <.001, χ2 / df = 2.504, GFI = .932, CFI = .972, IFI = .973, TLI = .961, SRMR = .030, and RMSEA = .079). A Cronbach's alpha coefficient of 0.95, Omega coefficient of 0.95, and composite reliability coefficient of 0.96 indicated the acceptable reliability of the 11-item version.
Conclusion: The results of this study showed that the 11-item Death Depression Scale was valid and reliable in Iranian patients with breast cancer. Given the appropriate psychometric parameters, this scale can be used to assess death depression in future studies.
Sadaf Yahyaei, Omid Garkaz, Sepideh Mahdavi, Somayeh Ramezani, Mahbobeh Poorheidari,
Volume 19, Issue 3 (12-2023)
Abstract
Background and Objectives: The mobile phone has become an indispensable tool for communication and interactions. This study aimed to investigate the relationship between excessive mobile phone use, depression, and social loneliness among students at Shahroud University of Medical Sciences.
Methods: This descriptive-analytical study, conducted in 2019, employed stratified random sampling to survey 313 students from Shahroud University of Medical Sciences. Data collection involved demographic questions, a harmful mobile phone use scale, and depression scale (Kavaja and Bryden). Collected data were entered into SPSS 18 and analyzed using descriptive and analytical statistics.
Results: The study included 313 participants with an average age of 22.16 ± 3.41 years. Pearson's correlation coefficient revealed a positive correlation between depression scores and various variables, including education level, interest in the field, native status, place of residence, history of taking antidepressants, employment status, financial problems, family life status, father's age, and excessive use of mobile phones. The results of linear regression analysis, as indicated by the coefficient of determination (0.603) demonstrated a high intensity of correlation between factors influencing depression and the actual depression scores.
Conclusion: According to the results of the study, there is a significant relationship between excessive use of mobile phones and depression and social loneliness in students, which requires proper planning for intervention.
Parvaneh Isfahani, Mohammad Sarani, Somayeh Samani, Aliyeh Bazi, Seyedeh Masoumeh Hosseini Zare, Ahmad Siar Sadr, Maryam Sadat Hosseini, Seyedeh Mahboobeh Hosseini Zare,
Volume 20, Issue 2 (9-2024)
Abstract
Background and Objectives: Depression is one of the most prevalent mental disorders among students associated with a major decline in academic and social performance. This study was carried out to determine the prevalence of depression in Iran's nursing students.
Methods: the research was conducted as a systematic review and meta analysis, all published scientific articles related to the prevalence of depression in nursing students were searched in 5 databases (Web of Science, Scopus, PubMed, SID, Magiran) and Google Scholar search engine and then their quality was evaluated. The heterogeneity of the studies was investigated using the I2 index and meta-regression model to evaluate heterogeneity-prone variables at a significance level of 0.05. Ultimately, 9 articles met the criteria for inclusion in this study and were analyzed using Comprehensive Meta-Analysis (CMA) software.
Results: Based on the random model, the prevalence of depression in Iranian nursing students was equal to 3.2% (2.1 – 4.5; 95% confidence level). Results showed that the highest prevalence of depression in nursing students was 6.2% (5.3-7.1; 95% confidence limit) in Sistan and Balochestan province in 2004, while the lowest prevalence was 0.8% (0.5-1.2; confidence limit 95%) in Esfahan and Qom provinces in 2016. Also, there was a significant relationship between the calendar year, sample size, average age, and prevalence of depression in Iranian nursing students (P<0.05).
Conclusion: The results showed that the prevalence of depression in nursing students was 3.2%, which decreased with the increase of the calendar year and average age. Nevertheless, policymakers and managers must take measures to reduce depression.
