22 research outputs found

    Prevalence of Sick Building Syndrome (SBS) among Students and Teachers of Guidance Schools in Babol, Winter 2018

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    Background: It is important to determine the prevalence of Sick Building Syndrome (SBS) symptoms in school students and teachers, which is relevant to the physical environment of the building. The aim of this study was to determine the prevalence of sick building syndrome in students and teachers of guidance schools in Babol. Methods: This descriptive and analytical cross-sectional study was carried out in 15 guidance schools in Babol in the winter of 2018, among 150 students and 95 teachers. The MM040EA (Miljomedicine040) questionnaire was used to collect data and was completed by interview. Data were analyzed using Chi-square test. Results: Among the 12 symptoms of SBS, 50.7% of students had fatigue, and 44.7% had headaches. There was a significant correlation between heavy headedness (p = 0.42) and headache (p = 0.029) with students’ gender. There was a significant correlation between the teachers’ gender with the redness or dryness of facial skin (p = 0.015), redness or itching of hands (p = 0.009) and also fatigue (p = 0.003). There was a significant correlation between the symptoms of the SBS with very high temperature in the students (p = 0.050), and with the noises (p = 0.40) in the teachers. Conclusion: The present study showed that more than half of the students and teachers had symptoms of SBS. Since the symptoms of SBS are associated with some physical conditions of the classroom and school environment, the health condition of the schools should be annually checked for all aspects

    General health, economic status, and marriage duration as predictors of marital commitment during reproductive age among Iranian married women

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    Background: One of the important factors involved in a successful marriage during reproductive age is marital commitment. The aim of this study was to find which factors predict marital commitment during reproductive age in Iranian married women. Methods: This cross-sectional, population-based study was performed on married women. Adams and Jones' Dimensions of Commitment Inventory (DCI) were used to assess marital commitment. In addition, their current mental health was assessed using General Health Questionnaire (GHQ). The socioeconomic status of the participants was calculated based on household income, employment status, and education level. A total of 160 married women, who were between 15-49 years of age and were from six districts of Babol, were selected using a systematic random sampling method. Stepwise multiple regressions were used to determine the effect of independent variables on marital commitment. Results: The results of multiple regression showed that general health, the duration of marriage, and the economic status with standard beta coefficients of (-0.324), (-0.259), and (0.173) had the highest regression effect on marital commitment, respectively. These variables accounted for a total of 33% of the distribution of marital commitment. Conclusion: These findings suggest that general health, economic status, and the duration of marriage are predicable variables for marital commitment. It is necessary to emphasize the benefit of improving general health and economic status in increasing the degree of marital commitment, especially among women with longer duration of marriage

    Cytomegalovirus infection and risk of preeclampsia: A meta-analysis of observational studies

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    Background: Cytomegalovirus (CMV) infection is one of the most common infectious diseases in pregnant women in terms of global impact and is related with many adverse health consequences during pregnancy. For the first time, we performed a systematic review and meta-analysis study to evaluate the possible association between CMV infection and preeclampsia (PE). Methods: A comprehensive literature search to identify the relevant papers published earlier than February 2018 was performed in PubMed, ISI (Web of Science), Google Scholar and SCOPUS databases. We followed the PRISMA (preferred reporting items for systematic reviews and meta-analyses) guidelines for design, analysis and interpretation of results. Pooled odds ratio (OR) and 95% confidence intervals (CI) were estimated using a random-effects meta-analysis model. Heterogeneity was assessed with Q-test and I2 statistics. Results: A total of 13 studies including 6158 pregnant women (2734 women with PE and 3424 healthy controls) met the eligibility criteria. The results of meta-analyses based on PCR (OR: 3.09; 95% CI:0.72–13.24; I2=57.3%), IgG-ELISA (OR: 1.24; 95% CI:0.83–1.85; I2=71%) and IgM-ELISA (OR: 1.04; 95% CI:0.66–1.65; I2=0.0%) demonstrated that CMV infection could not be a potential risk factor for PE. Conclusions: In conclusion, results of the present study demonstrated that CMV infection could not be a potential risk for developing PE. More epidemiological and experimental studies are needed to investigate the impact of CMV infection on the development of PE

    Evaluation of the effective factors on Bipolar I Disorder frequent recurrence in a 5 years longitudinal study using generalized estimation equations method

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    Background and Purpose: Patients with Bipolar I Disorder recurrence experiences mood variation between manic and depression during the time. Hence, that is need to the longitudinal study on Bipolar Disorder patients. This study aims to evaluate the effective factors on Bipolar I Disorder frequent recurrence in 5 years longitudinal study using generalized estimation equations (GEE) method. Materials and Methods: Data were collected with repeated measurements on 255 Bipolar I Disorder patients in mazandaran, Iran, in a longitudinal study between 2007 and 2011. The outcome variable is Bipolar I Disorder recurrence, and the predictor variables are as follows: sex, age of onset, family history (Grade 1), economic status and education level. In this paper, SAS PROC GENMOD was used to apply GEE regression to the assessment of parameters corresponding to the factors causing recurrence. Results: The age was among 13-55 years and the average of age of onset was 24.1 years. Almost of patients were male and had economic status with (upper/middle) deciles and also had a diploma and under diploma education level. The results of GEE method showed that the covariate of family history (Grade 1) increased the odds of recurrence (odds ratio [OR] >1; P < 0.0500); and age of onset decreased the odds of recurrence in patients with Bipolar I Disorder (OR <1; P < 0.0500). Conclusion: Predictor variables in recurrence Bipolar I Disorder include first-degree relatives&rsquo; psychiatric family history and age of onset. Understanding this factors, and educate patients, and their families are valuable for the prevention and planning the treatment

    The frequency of risk factors for pulmonary tuberculosis in tuberculosis patients in Babol, Northern Iran, during 2008-2015

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    In the current study, we investigated the risk factors for tuberculosis in patients admitted to the Ayatollah Rouhani Hospital in Babol, north of Iran. This cross-sectional study was conducted on 207 patients with proven tuberculosis during the years 2008-2015. Demographic data such as age and sex, smoking, history of underlying illness, illness symptoms, and laboratory results were collected and analyzed at a significant level of less than 0.05. From 207 patients, 136 were male (65.7%), 71 were female (34.3%), and 76 of them (37.3%) were smokers. It is notable that most patients (29.5%) were over the age of 71. The relation between age profile and being tuberculosis has been studied, but the co-relation was found to be not significant. The most common complaint has been coughing (60.9%)

    The association between maternal infection and intellectual disability in children: A systematic review and meta-analysis.

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    BackgroundThere is arguing evidence regarding the association between maternal infections during pregnancy and the risk of intellectual disability (ID) in children. This systematic review and meta-analysis are essential to determine and address inconsistent findings between maternal infections during pregnancy and the risk of ID in children.MethodsThe MOOSE and PRISMA guidelines were followed to perform and report on this study. The Medline/PubMed, Web of Science, Embase, and Scopus databases were searched from inception up to March 15, 2023, to identify potentially eligible studies. Inclusion and exclusion criteria were applied, as well as the Newcastle-Ottawa Scale was used to assess the methodological quality of studies included. The included studies were divided into two types based on the participants: (1) ID-based studies, which involved children with ID as cases and healthy children as controls and evaluated maternal infection in these participants; (2) infection-based studies, which assessed the prevalence or incidence of ID in the follow-up of children with or without exposure to maternal infection. We used Random-effects models (REM) to estimate the overall pooled odds ratio (OR) and 95% confidence intervals (CIs). The between-studies heterogeneity was assessed with the χ2-based Q-test and I2 statistic. Subgroup and sensitivity analyses were applied to explore the source of heterogeneity and results consistency.ResultsA total of eight studies including 1,375,662 participants (60,479 cases and 1,315,183 controls) met the eligibility criteria. The REM found that maternal infection significantly increased the risk of ID in children (OR, 1.33; 95% CI, 1.21-1.46; I2 = 64.6). Subgroup analysis showed a significant association for both infection-based (OR, 1.27; 95%CI, 1.15-1.40; I2 = 51.2) and ID-based (OR, 1.44; 95%CI, 1.19-1.74; I2 = 77.1) studies. Furthermore, subgroup analysis based on diagnostic criteria revealed a significant association when maternal infection or ID were diagnosed using ICD codes (OR, 1.33; 95% CI, 1.20-1.48; I2 = 75.8).ConclusionOur study suggests that maternal infection during pregnancy could be associated with an increased risk of ID in children. This finding is consistent across different types of studies and diagnostic criteria. However, due to the heterogeneity and limitations of the included studies, we recommend further longitudinal studies to confirm the causal relationship and the underlying mechanisms

    Main characteristics of included studies.

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    BackgroundThere is arguing evidence regarding the association between maternal infections during pregnancy and the risk of intellectual disability (ID) in children. This systematic review and meta-analysis are essential to determine and address inconsistent findings between maternal infections during pregnancy and the risk of ID in children.MethodsThe MOOSE and PRISMA guidelines were followed to perform and report on this study. The Medline/PubMed, Web of Science, Embase, and Scopus databases were searched from inception up to March 15, 2023, to identify potentially eligible studies. Inclusion and exclusion criteria were applied, as well as the Newcastle-Ottawa Scale was used to assess the methodological quality of studies included. The included studies were divided into two types based on the participants: (1) ID-based studies, which involved children with ID as cases and healthy children as controls and evaluated maternal infection in these participants; (2) infection-based studies, which assessed the prevalence or incidence of ID in the follow-up of children with or without exposure to maternal infection. We used Random-effects models (REM) to estimate the overall pooled odds ratio (OR) and 95% confidence intervals (CIs). The between-studies heterogeneity was assessed with the χ2-based Q-test and I2 statistic. Subgroup and sensitivity analyses were applied to explore the source of heterogeneity and results consistency.ResultsA total of eight studies including 1,375,662 participants (60,479 cases and 1,315,183 controls) met the eligibility criteria. The REM found that maternal infection significantly increased the risk of ID in children (OR, 1.33; 95% CI, 1.21–1.46; I2 = 64.6). Subgroup analysis showed a significant association for both infection-based (OR, 1.27; 95%CI, 1.15–1.40; I2 = 51.2) and ID-based (OR, 1.44; 95%CI, 1.19–1.74; I2 = 77.1) studies. Furthermore, subgroup analysis based on diagnostic criteria revealed a significant association when maternal infection or ID were diagnosed using ICD codes (OR, 1.33; 95% CI, 1.20–1.48; I2 = 75.8).ConclusionOur study suggests that maternal infection during pregnancy could be associated with an increased risk of ID in children. This finding is consistent across different types of studies and diagnostic criteria. However, due to the heterogeneity and limitations of the included studies, we recommend further longitudinal studies to confirm the causal relationship and the underlying mechanisms.</div

    Search strategy.

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    BackgroundThere is arguing evidence regarding the association between maternal infections during pregnancy and the risk of intellectual disability (ID) in children. This systematic review and meta-analysis are essential to determine and address inconsistent findings between maternal infections during pregnancy and the risk of ID in children.MethodsThe MOOSE and PRISMA guidelines were followed to perform and report on this study. The Medline/PubMed, Web of Science, Embase, and Scopus databases were searched from inception up to March 15, 2023, to identify potentially eligible studies. Inclusion and exclusion criteria were applied, as well as the Newcastle-Ottawa Scale was used to assess the methodological quality of studies included. The included studies were divided into two types based on the participants: (1) ID-based studies, which involved children with ID as cases and healthy children as controls and evaluated maternal infection in these participants; (2) infection-based studies, which assessed the prevalence or incidence of ID in the follow-up of children with or without exposure to maternal infection. We used Random-effects models (REM) to estimate the overall pooled odds ratio (OR) and 95% confidence intervals (CIs). The between-studies heterogeneity was assessed with the χ2-based Q-test and I2 statistic. Subgroup and sensitivity analyses were applied to explore the source of heterogeneity and results consistency.ResultsA total of eight studies including 1,375,662 participants (60,479 cases and 1,315,183 controls) met the eligibility criteria. The REM found that maternal infection significantly increased the risk of ID in children (OR, 1.33; 95% CI, 1.21–1.46; I2 = 64.6). Subgroup analysis showed a significant association for both infection-based (OR, 1.27; 95%CI, 1.15–1.40; I2 = 51.2) and ID-based (OR, 1.44; 95%CI, 1.19–1.74; I2 = 77.1) studies. Furthermore, subgroup analysis based on diagnostic criteria revealed a significant association when maternal infection or ID were diagnosed using ICD codes (OR, 1.33; 95% CI, 1.20–1.48; I2 = 75.8).ConclusionOur study suggests that maternal infection during pregnancy could be associated with an increased risk of ID in children. This finding is consistent across different types of studies and diagnostic criteria. However, due to the heterogeneity and limitations of the included studies, we recommend further longitudinal studies to confirm the causal relationship and the underlying mechanisms.</div
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