Prevalence of Mental Health Problems in Children and Its Associated Socio-Familial Factors in Urban Population of Semnan, Iran (2012)

The Global Prevalence of Conduct Disorder: A Systematic Review and Meta-Analysis

Objective: There has been little effort to conduct systematic reviews or meta-analyses of the available literature to find global prevalence rates of conduct disorder and analyze the sources of heterogeneity. Method : We searched multiple databases, including Web of Science, PubMed, Scopus, and Google Scholar to identify cross-sectional studies with random or nonrandom sampling to assess the global prevalence of conduct disorder in children and adolescents aged under 18 in the general or school-based populations. Quality assessment and data extraction were independently carried out by two authors. Subgroup analysis was used to find the potential sources of heterogeneity. Results: We reached 50 studies, incorporating 186,056 children and adolescents from 35 countries. The total prevalence of conduct disorder was 8% (CI: 7-9%; I2: 99.77%), including 7% in females (CI: 4-9%; I2: 99.56%) and 11% in males (CI: 7-15%; I2: 99.74%). The results of subgroup analysis showed that total heterogeneity could be explained by measurement tools. When diagnostic interviews such as the Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL) and Development and Well-Being Assessment (DAWBA) were employed, the pooled prevalence rates for conduct disorder were 0.4% and 0.7%, respectively, and heterogeneity decreased. However, the use of the screening tools such as the Strengths and Difficulties Questionnaire (SDQ)-parent or teacher report and SDQ-self report increased the pooled prevalence of conduct disorder to 10% and 16% respectively. Conclusion: The prevalence of conduct disorder in the epidemiological studies should be estimated by employing the diagnostic interviews to reach accurately assessments.

The prevalence of behavioral disorders among children under parental care and out of parental care: A comparative study in India

BACKGROUND

Children may suffer from a wide range of behavioral problems, but children living under conditions of perpetual stress and trauma and experiencing breakdown of family structures are tremendously affected. This study was adopted to identify the prevalence of behavioral disorders among children under parental care and out of parental care.

METHODS

A cross-sectional comparative descriptive study was conducted among 300 children of age 6-12 years from a pediatric outpatient department of a selected hospital and 300 children from selected orphanages in Kolkata to compare the prevalence of behavioral disorders in children under parental care and out of parental care using Strengths and Difficulties Questionnaire (SDQ).

RESULTS

Total difficulty was more prevalent in children out of parental care (220 children) than in children under parental care (128 children). Conduct problem was the most prevalent behavioral disorder among all the subscales of SDQ with 48.70% and 84.30% of children, respectively. This was followed by peer problem (44.60% and 48.30%), emotional problem (33.70% and 55.60%), and hyperactivity problem (26.70% and 32.30%), respectively. There was significant difference in total difficulty, all subscales, externalizing score, internalizing score, and impact score between the two groups. Regression analysis showed significant relationship of selected variables such as the child's favorite hobbies and number of close friends the child has using total difficulty score in both the groups. Significant correlation was found among subscales in both the groups.

CONCLUSION

Family-based care and improvised institutional care should be emphasized to reduce the burden of behavioral problem in children.

A Descriptive Study on Behavioral and Emotional Problems in Orphans and Other Vulnerable Children Staying in Institutional Homes

INTRODUCTION

Orphans and the other vulnerable children and adolescents (OVCA) living in institutional homes are more prone to behavioral and emotional problems than others as they are deprived of a family's love and care. There is a dearth of studies focusing on the psychological health of these children in India. Hence, we have conducted a cross-sectional descriptive study to explore the behavioral and emotional problems in these institutionalized children.

MATERIALS AND METHODS

The sample consisted of 292 orphans and OVCA in institutional homes of Visakhapatnam city. The sociodemographic data were collected using a semi-structured questionnaire. The Strengths and Difficulties Questionnaire (SDQ) with impact supplement was used to assess the behavioral and emotional problems in them.

RESULTS

In our study, 49 (16.78%) out of 292 children and adolescents were found to be having behavioral and emotional problems. Factors such as age, sex, reason for being in the institute, age of admission, and years of stay in the home were all seen to be significantly associated (P < 0.05) with emotional and behavioral problems. Conduct problems (34.90%) were found to be most prevalent followed by peer problems (15.80%), emotional problems (14.70%), hyperactivity (8.60%), and low prosocial behavior (3.40%).

CONCLUSION

The present study shows that the orphans and OVCA in institutional homes are vulnerable to behavioral and emotional problems. The screening for conduct problems, emotional problems, hyperactivity, and peer problems needs to be done at a regular basis for these children. Given the paucity of data in this regard, several multicenter studies also need to be done to get an overall comprehensive view of these problems.

Association between social capital, health-related quality of life, and mental health: a structural-equation modeling approach

Aim

To explore the association(s) between demographic factors, socioeconomic status (SES), social capital, health-related quality of life (HRQoL), and mental health among residents of Tehran, Iran.

Methods

The pooled data (n = 31 519) were extracted from a population-based survey Urban Health Equity Assessment and Response Tool-2 (Urban HEART-2) conducted in Tehran in 2011. Mental health, social capital, and HRQoL were assessed using the 28-item General Health Questionnaire (GHQ-28), social capital questionnaire, and Short-Form Health Survey (SF-12), respectively. The study used a multistage sampling method. Social capital, HRQoL, and SES were considered as latent variables. The association between these latent variables, demographic factors, and mental health was determined by structural-equation modeling (SEM).

Results

The mean age and mental health score were 44.48 ± 15.87 years and 23.33 ± 11.10 (range, 0-84), respectively. The prevalence of mental disorders was 41.76% (95% confidence interval 41.21-42.30). The SEM model showed that age was directly associated with social capital (P = 0.016) and mental health (P = 0.001). Sex was indirectly related to mental health through social capital (P = 0.018). SES, HRQoL, and social capital were associated both directly and indirectly with mental health status.

Conclusion

This study suggests that changes in social capital and SES can lead to positive changes in mental health status and that individual and contextual determinants influence HRQoL and mental health.

The Association of Poor Mental Health Status and Sociocultural Factors in Men: A Population-Based Study in Tehran, Iran

Mental ill-health has increased among Iranian men in the recent years. Mental health is complexly determined by sociocultural, psychological, demographic characteristics, and some health-risk behaviors such as smoking. This study aimed to explore the association(s) between demographic factors, smoking status, social capital, and poor mental health status in a sample of Iranian men. The data were derived from a survey titled "Urban Health Equity Assessment and Response Tool-2" in Tehran, Iran ( n = 11,064). A multistage sampling method was applied in the study. The General Health Questionnaire-28 was used to assess poor mental health status (range = 0-84, scores higher than 23 indicated poor mental health status). The data were analyzed using t test, chi-square test, and multivariate logistic regression. The means of age and family size were 47.14 ± 17.26 years (range = 20-91) and 3.54 ± 1.32 individuals (range = 1-15), respectively. The majority of the participants were employed (57%, n = 6,361). The prevalence of poor mental health was 36.36%, 95% confidence interval (CI) [35.46, 37.26]. The components of social capital were positively associated with poor mental health status. Family size (adjusted odds ratio [AOR] = 0.93; 95% CI [0.90, 0.96]), job status (unemployed vs. employed, AOR = 1.34; 95% CI [1.16, 1.55]), marital status (widowed and divorced vs. single, AOR = 1.09; 95% CI [1.02, 1.17]), education level (illiterate vs. academic, AOR = 1.18; 95% CI [1.09, 1.29]), and smoking status (smokers vs. nonsmokers, AOR = 1.46; 95% CI [1.31, 1.62]) were directly associated with poor mental health status in the logistic regression model. These results suggest that social capital could be an important approach for men to attain suitable mental health and reduce mental disorders. The high prevalence of poor mental health in men merits more attention in mental health policy and program planning.