Dataset Information

Predictors of Anxiety-Induced Sleep Disturbance among in-School Adolescents in Ghana: Evidence from the 2012 Global School-Based Health Survey.

ABSTRACT: (1) Background: Psychological problems of adolescents have become a global health and safety concern. Empirical evidence has shown that adolescents experience diverse mental health conditions (e.g., anxiety, depression, and emotional disorders). However, research on anxiety-induced sleep disturbance among in-school adolescents has received less attention, particularly in low- and middle-income countries. This study's central focus was to examine factors associated with t anxiety-induced sleep disturbance among in-school adolescents in Ghana. (2) Methods: Analysis was performed using the 2012 Global School-based Health Survey (GSHS). A sample of 1342 in-school adolescents was included in the analysis. The outcome variable was anxiety-induced sleep disturbance reported during the past 12 months. Frequencies, percentages, chi-square, and multivariable logistic regression analyses were conducted. Results from the multivariable logistic regression analysis were presented as crude and adjusted odds ratios at 95% confidence intervals (CIs) and with a statistical significance declared at p < 0.05. (3) Results: Adolescents who went hungry were more likely to report anxiety-induced sleep disturbance compared to their counterparts who did not report hunger (aOR = 1.68, CI = 1.10, 2.57). The odds of anxiety-induced sleep disturbance were higher among adolescents who felt lonely compared to those that never felt lonely (aOR = 2.82, CI = 1.98, 4.01). Adolescents who had sustained injury were more likely to have anxiety-induced sleep disturbance (aOR = 1.49, CI = 1.03, 2.14) compared to those who had no injury. Compared to adolescents who never had suicidal ideations, those who reported experiencing suicidal ideations had higher odds of anxiety-induced sleep disturbance (aOR = 1.68, CI = 1.05, 2.71). (4) Conclusions: Anxiety-induced sleep disturbance among in-school adolescents were significantly influenced by the psychosocial determinants such as hunger, loneliness, injury, and suicidal ideation in this study. The findings can help design appropriate interventions through effective strategies (e.g., early school-based screening, cognitive-behavioral therapy, face-face counseling services) to reduce psychosocial problems among in-school adolescents in Ghana.

SUBMITTER: Ahinkorah BO

PROVIDER: S-EPMC7912318 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Predictors of Anxiety-Induced Sleep Disturbance among in-School Adolescents in Ghana: Evidence from the 2012 Global School-Based Health Survey.

Ahinkorah Bright Opoku BO Aboagye Richard Gyan RG Arthur-Holmes Francis F Seidu Abdul-Aziz AA Frimpong James Boadu JB Budu Eugene E Amoako Bernard Mensah BM Hagan John Elvis JE

Behavioral sciences (Basel, Switzerland) 20210201 2

(1) <i>Background:</i> Psychological problems of adolescents have become a global health and safety concern. Empirical evidence has shown that adolescents experience diverse mental health conditions (e.g., anxiety, depression, and emotional disorders). However, research on anxiety-induced sleep disturbance among in-school adolescents has received less attention, particularly in low- and middle-income countries. This study's central focus was to examine factors associated with t anxiety-induced s ...[more]

PMID: 33535435

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Project description:(1) Background: Among the health problems affecting adolescents, anxiety disorders are considered among the health-compromising or debilitating outcomes that affect adolescents' mental health. We examined the prevalence and factors associated with anxiety-induced sleep disturbance among in-school adolescents in sub-Saharan Africa (SSA). (2) Methods: This study involved a cross-sectional analysis of data from the Global School-Based Health Survey (GSHS). We analyzed data on 25,454 in-school adolescents from eleven (11) countries in SSA with a dataset between 2010 and 2017. Two multivariable logistic regression models were built to determine the strength of the association between anxiety-induced sleep disturbance and the explanatory variables. The results of the regression analyses were presented using adjusted odds ratios (aOR) and their respective 95% confidence intervals (CIs). Statistical significance was set at p-value < 0.05. (3) Results: The overall prevalence of anxiety-induced sleep disturbance among in-school adolescents in SSA was 12.2%. The prevalence ranged from 5.1% in Tanzania to 20.5% in Benin. The odds of anxiety-induced sleep disturbance was higher among adolescents aged 15 and above [aOR = 1.26, 95% CI = 1.15, 1.39] compared to those aged 14 or younger. Additionally, the odds of anxiety-induced sleep disturbance was higher among adolescents who were bullied [aOR = 1.54, 95% CI = 1.42, 1.67], those that felt lonely [aOR = 3.85, 95% CI = 3.52, 4.22], those who had suicidal ideations [aOR = 1.70, 95% CI = 1.52, 1.90], those who had suicidal plan [aOR = 1.26, 95% CI = 1.13, 1.41], those who have had suicidal attempt [aOR = 1.21, 95% CI = 1.08, 1.35], those who used marijuana [aOR = 1.27, 95% CI = 1.06, 1.52], and those who were truant at school [aOR = 1.33, 95% CI = 1.22, 1.46]. However, male adolescents had lower odds of anxiety-induced sleep disturbance [aOR = 0.88, 95% CI = 0.81, 0.95], compared to their female counterparts. (4) Conclusions: We found a relatively high prevalence of anxiety-induced sleep disturbance among in-school adolescents in SSA. Higher age, being female, being bullied, loneliness, having suicidal ideations/plan/attempt, use of marijuana and truancy were risk factors for anxiety-induced sleep disturbance. The findings, therefore, highlight the urgency for policies (e.g., early school-based screening) and interventions (e.g., Rational Emotive Behavioral Education (REBE), Social Emotional Learning (SEL) that target in-school adolescents within the most at-risk populations of anxiety-induced sleep disturbance in SSA.

Project description:INTRODUCTION:Physical activity (PA) has both short- and long-term importance. In this study we sought to assess the prevalence and correlates of PA among 1,542 Senior High School (SHS) students. METHODS:A cross-sectional study was conducted in Ghana among SHS students using the 2012 version of the Ghana Global School-based Student Health Survey (GSHS) data, which utilised two-stage cluster sampling technique. The population for the study comprised SHS students. The outcome variable was physical activity. The data were analysed using STATA version 14.2 for Mac OS. Both bivariate and multivariate analyses were employed. At the bivariate level, Pearson chi-square test between each independent variable and PA was conducted and the level of statistical significance was set at 5%. All the significant variables from the chi-square test were selected for the multivariate analysis. In the multivariate analysis, Poisson regression with robust variance was performed to estimate crude and adjusted prevalence ratios (APR). RESULTS:It was found that 25.0% (29.0% males and 21.9% females) of SHS students were physically active. Female students (APR = 0.78, 95% CI = 0.65, 0.94), students in SHS 2 (APR = 0.76, 95% CI = 0.577, 0.941) and SHS3 (APR = 0.79, 95% CI = 0.63, 0.93), and those who went hungry (APR = 0.77, 95% CI = 0.65, 0.92) were less likely to be physically active compared to males, those in SHS1 and those who did not go hungry respectively. On the other hand, students who actively commuted to school (APR = 2.40, 95% CI = 1.72, 2.42) and got support from their peers were more likely to be physically active (APR = 1.62, 95% CI = 1.09-2.41). CONCLUSION:Only a quarter of SHS students who participated in the 2012 version of the GSHS met the WHO's recommended level of physical activity. Sex, grade/form and experience of hunger are associated with physical activity. Physical activity is a major component of any health promotion program. Policies and programmes targeting improvement in physical activity among SHS students should take these associated factors into consideration.

Project description:Interpersonal violence in adolescents has over the years grown into a serious public health problem that merits a robust intervention. This study, therefore, assessed the prevalence and predictors of interpersonal violence among in-school adolescents in sub-Saharan Africa (SSA). The study involved a cross-sectional analysis of data from the Global School-based Health Survey conducted between 2012 and 2017 from eight sub-Saharan African countries. A total of 14,967 in-school adolescents aged 10-19 years were included in the pooled analysis. A multivariable binomial logistic regression was used to determine the predictors of interpersonal violence using the adjusted odds ratio (aOR) with their respective 95% confidence intervals (CIs). The overall prevalence of interpersonal violence among in-school adolescents in SSA was 53.7%. The odds of interpersonal violence were higher among adolescents who were bullied (aOR = 2.52, 95% CI = 2.23-2.85), had an injury (aOR = 2.42, 95% CI = 2.15-2.72), had suicidal attempts (aOR = 1.40, 95% CI = 1.16-1.70), were truant (aOR = 1.51, 95% CI = 1.33-1.72), used alcohol (aOR = 1.49, 95% CI = 1.06-2.11), and used tobacco (aOR = 1.46, 95% CI = 1.23-1.74). In-school adolescents with peer support, parents or guardians bonding, those whose parents or guardians respected their privacy, and those aged 15 years or older were less likely to experience interpersonal violence. These factors provide education directors and school heads/teachers with relevant information to guide the design of specific interventions such as parent-teacher meetings and programs, peer educator network system, face-to-face counseling sessions, Rational Emotive Behavioural Education (REBE) and substance use cessation therapy to prevent interpersonal violence, particularly physical fights and attacks in school settings. Also, students should be sensitized on the negative effects of interpersonal violence and those who have been exposed to it should be counselled. School rules should be strengthened and appropriate punishment given to students who engage in violence baheviours in schools in order to deter others from engaging in them.

Project description:INTRODUCTION:Despite interventions by low and middle-income countries toward the achievement of the global Sustainable Development Goal (SDG) on promoting mental health and well-being of their populace by the year 2030, suicidal behaviours continue to be major causes of premature mortality, especially among young people. This study examined the prevalence and predictors of suicidal behaviours among in-school adolescents in Mozambique. MATERIALS AND METHODS:This was a cross-sectional study of 1918 in-school adolescents using data from the 2015 Global School-based Health Survey (GSHS) of Mozambique. The outcome variables (suicidal ideation, suicidal plan, and suicidal attempt) were measured with single items in the survey. Both bivariate and multivariate analyses were performed using chi-square test of independence and binary logistic regression respectively. Results are presented as Adjusted Odds Ratios for the binary logistic regression analysis. Statistical significance was set at p<0.05. RESULTS:The prevalence of suicidal behaviours 12 months prior to the survey were 17.7%, 19.6% and 18.5% for suicidal ideation, suicidal plan, and suicidal attempt respectively. Adolescents who experienced anxiety had higher odds of suicidal ideation [AOR = 1.616, 95%CI = 1.148-2.275], suicidal plan [AOR = 1.507, 95%CI = 1.077-2.108], and suicidal attempt [AOR = 1.740, 95%CI = 1.228-2.467]. Adolescents who were physically attacked in school were also more likely to ideate [AOR = 1.463, 95%CI = 1.115-1.921], plan [AOR = 1.328, 95%CI = 1.020-1.728], and attempt [AOR = 1.701, 95%CI = 1.306-2.215] suicide. Having close friends was, however, an important protective factor against suicidal ideation [AOR = 0.694, 95%CI = 0.496-0.971], plan [AOR = 0.625, 95%CI = 0.455-0.860], and attempt [AOR = 0.529, 95%CI = 0.384-0.729]. Peer support also reduced the risk of suicidal ideation [AOR = 0.704, 95%CI = 0.538,0.920] and plan [AOR = 0.743, 95%CI = 0.572,0.966] among the in-school adolescents. CONCLUSION:Suicidal behaviours constitute major public health challenges among in-school adolescents in Mozambique. The behaviours are predominant among adolescents who are physically attacked and those who experience anxiety. Conversely, having close friends serves as a protective factor against suicidal behaviours. To ensure that Mozambique meets the SDG target of promoting the mental health of all by the year 2030, the Government of Mozambique and educational authorities should urgently design and implement innovative interventions and strengthen existing ones that seek to address physical attacks and anxiety among in-school adolescents. School administrations should also incorporate programmes that seek to congregate students and offer platforms for social interaction and cohesion.

Project description:Growing body of literature has reported that weight status estimation pattern, including accurate-, under-, and overestimation, was associated with weight related behaviors and weight change among adolescents and young adults. However, there have been a few studies investigating the potential role of school contexts in shaping adolescents' weight status estimation pattern among Korea adolescents.The aim of the present study was to investigate the association between weight status misperception patterns and factors at individual-, family-, and school-level, simultaneously, and whether there was significant between schools variation in the distribution of each weight status misperception pattern, underestimation and overestimation respectively, among Korean adolescents aged 12-18 years.Data from the Eighth Korea Youth Risk Behavior Web-based Survey (KYRBS), 2012, a nationally representative online survey of 72,228 students (boys = 37,229, girls = 34,999) from a total of 797 middle and high schools were used. Sex stratified multilevel random intercept multinomial logistic models where adolescents (level 1) were nested within schools (level 2) were performed.At the school level, attending a school with higher average BMI (kg/m2) was positively associated with weight status underestimation, and inversely associated with weight status overestimation among boys and girls. Single-sex schooling was positively associated with weight status underestimation among girls. At the family level, higher household income (high/middle versus low) was inversely associated with both weight status under- and overestimation among boys and girls. Higher maternal education (equal to or more than college graduate versus equal to or less than high school graduate) was positively associated with weight status overestimation among boys, and living with both parents (compared to not living with both parents) was inversely associated with weight status underestimation among girls. At the individual level, high academic achievement (compared to low) was positively associated with weight status underestimation among boys and girls.While further research with prospective designs and objectively measured anthropometric information is needed, school environmental factors such as sex composition and school average BMI, as well as, family contexts such as socioeconomic status need to be considered when developing and implementing obesity prevention programs.

Dataset Information

Predictors of Anxiety-Induced Sleep Disturbance among in-School Adolescents in Ghana: Evidence from the 2012 Global School-Based Health Survey.

Publications

Predictors of Anxiety-Induced Sleep Disturbance among in-School Adolescents in Ghana: Evidence from the 2012 Global School-Based Health Survey.

Similar Datasets

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