Prevalence of Bronchial Asthma among School Children in Urban and Rural Areas and Associated Risk Factors: A Cross Sectional Study from Western Uttar Pradesh, India

Kumar, Nitin; Kumar, Naresh; Sharma, Prakhar

doi:10.18535/ijmsci/v4i2.02

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…After obtaining consent from parents, 58 students from the selected private school and 92 students from the selected government school were enrolled randomly. The sample size of 150 was estimated considering the prevalence of 41.4% [4], 95% confidence interval and 80% power with the non-response rate of 10%.…”

Section: Methodsmentioning

confidence: 99%

“…We have found that 33.3% of adolescents had psychosocial problems. Several studies from Nepal and India found psychosocial problems among 15-41% of adolescents [4,7,[12][13][14][15]. Such findings suggest a vulnerability of this population to mental health problem and a need for robust school-based mental health programs.…”

Section: Mental Health Status Of Adolescentsmentioning

confidence: 99%

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Mental Health Status among Adolescents of High Schools: A Cross-sectional Study

Dass

Kandangwa²,

Pokharel

2021

JBPKIHS

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Background: Adolescents are prone to develop various psychosocial problems with a long-standing impact. We aimed to investigate the mental health status among adolescents from high schools in Dharan sub-metropolitan city. Methods: In this descriptive cross-sectional study, we enrolled 150 adolescents from two different schools of Dharan, using a stratified random sampling technique. The Pediatric Symptoms Checklist for Youth was used to assess their mental health status. A score of 30 or more was considered as a mental health problem. Poverty, family dispute, punishment, and personal and family history of a psychiatric condition were considered as potential predictors of mental health problem. The chi-square test was applied to identify the predictors of mental health problem. Results: The final analysis included 141 samples. More than 60% of the students belonged to the age group 13-15 years, and 52.5% were females. About 59.6% were Janajatis, and 61% were Hindus. The majority (63.8%) were living below the poverty line. The majority (83.7%) had no dispute in the family. All the students had received punishment, and 51.1% had received it at home. One-third of the students had mental health problem. The presence of mental health problem was significantly associated with nuclear family status (p = 0.04), and history of a family dispute (p = 0.04). Conclusion: Mental health problem was common among adolescents, and it was associated with the nuclear family structure and the presence of family dispute.

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Section: Methodsmentioning

confidence: 99%

Section: Mental Health Status Of Adolescentsmentioning

confidence: 99%

Mental Health Status among Adolescents of High Schools: A Cross-sectional Study

Dass

Kandangwa²,

Pokharel

2021

JBPKIHS

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Urbanisation and asthma in low-income and middle-income countries: a systematic review of the urban–rural differences in asthma prevalence

Rodríguez

Brickley

Rodrigues

et al. 2019

Thorax

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BackgroundUrbanisation has been associated with temporal and geographical differences in asthma prevalence in low-income and middle-income countries (LMICs). However, little is known of the mechanisms by which urbanisation and asthma are associated, perhaps explained by the methodological approaches used to assess the urbanisation-asthma relationship.ObjectiveThis review evaluated how epidemiological studies have assessed the relationship between asthma and urbanisation in LMICs, and explored urban/rural differences in asthma prevalence.MethodsAsthma studies comparing urban/rural areas, comparing cities and examining intraurban variation were assessed for eligibility. Included publications were evaluated for methodological quality and pooled OR were calculated to indicate the risk of asthma in urban over rural areas.ResultsSeventy articles were included in our analysis. Sixty-three compared asthma prevalence between urban and rural areas, five compared asthma prevalence between cities and two examined intraurban variation in asthma prevalence. Urban residence was associated with a higher prevalence of asthma, regardless of asthma definition: current-wheeze OR:1.46 (95% CI:1.22 to 1.74), doctor diagnosis OR:1.89 (95% CI:1.47 to 2.41), wheeze-ever OR:1.44 (95% CI:1.15 to 1.81), self-reported asthma OR:1.77 (95% CI:1.33 to 2.35), asthma questionnaire OR:1.52 (95% CI:1.06 to 2.16) and exercise challenge OR:1.96 (95% CI:1.32 to 2.91).ConclusionsMost evidence for the relationship between urbanisation and asthma in LMICs comes from studies comparing urban and rural areas. These studies tend to show a greater prevalence of asthma in urban compared to rural populations. However, these studies have been unable to identify which specific characteristics of the urbanisation process may be responsible. An approach to understand how different dimensions of urbanisation, using contextual household and individual indicators, is needed for a better understanding of how urbanisation affects asthma.PROSPERO registration numberCRD42017064470.

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Prevalence of Bronchial Asthma among School Children in Urban and Rural Areas and Associated Risk Factors: A Cross Sectional Study from Western Uttar Pradesh, India

Cited by 2 publications

References 15 publications

Mental Health Status among Adolescents of High Schools: A Cross-sectional Study

Mental Health Status among Adolescents of High Schools: A Cross-sectional Study

Urbanisation and asthma in low-income and middle-income countries: a systematic review of the urban–rural differences in asthma prevalence

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