Tobacco use and sleep loss over worry among adolescents aged 12-15 years: A population-based study of 38 countries

A pooled analysis of temporal trends in the prevalence of anxiety-induced sleep loss among adolescents aged 12-15 years across 29 countries

Background

Previous studies examining trends in sleep loss among adolescents have mainly focused on single countriy and region. This study aims to analyze temporal trends in the prevalence of anxiety-induced sleep loss among adolescents from 29 countries in five regions.

Methods

This study used data from the Global School-based Student Health Survey 2003-2018, which surveyed 215,380 adolescents from 29 countries with at least two cross-sectional surveys per country. The weighted country-specific prevalence of anxiety-induced sleep loss and trends across the survey years were evaluated. Random- or fixed-effects meta-analyses were used to calculate pooled prevalence and temporal trends across 29 countries.

Results

Temporal variations in anxiety-induced sleep loss across countries were identified. Increasing (Suriname, Vanuatu, and Myanmar), decreasing (Namibia, Jamaica, the Philippines, Samoa, and Indonesia), and stable (all other countries) trends in anxiety-induced sleep loss were noted. The pooled weighted prevalence of anxiety-induced sleep loss was 11.35 and 10.67% in the first and last surveys, respectively. There was no meaningful change in the propensity to have anxiety-related sleep disorders over time, with the reduction and OR of these two surveys being 0.54 (-0.53-1.61) and 0.98 (0.88-1.10). For subgroup analyses, no significant differences in pooled anxiety-induced sleep loss trends were seen between the two surveys for different sexes, regions, incomes, survey years in the first wave, survey periods, or number of surveys.

Conclusion

Trends in the prevalence of anxiety-induced sleep loss in adolescents varied significantly across different countries. Generally, a stable trend was observed in 21 of the 29 countries surveyed. Our study provides data that can aid policymakers in establishing country-specific strategies for reducing anxiety-induced sleep loss in adolescents.

Association between secondhand smoke exposure and negative emotions among 12-15-year-old non-smoking adolescents from 63 low- and middle-income countries

BACKGROUND

Secondhand smoke (SHS) exposure is associated with negative emotions in adolescents, but the association between SHS exposure and negative emotions has been understudied, especially in low- and middle-income countries. Hence, we studied the association between SHS exposure and negative emotions among 12-15-year-old non-smoking adolescents from 63 low- and middle-income countries (LMICs).

METHODS

We calculated the pooled prevalence of SHS exposure, loneliness, and anxiety in 12-15-year-old non-smoking adolescents. Multivariable logistic regression was used to evaluate country-specific associations between SHS exposure and negative emotions, after adjusting for important confounders. Meta-analyses were performed to evaluate the overall, regional, and country-income level pooled associations.

RESULTS

Of the adolescents included in the analysis, 34.88 % had less than daily SHS exposure and 13.41 % were exposed to SHS daily. The overall prevalence of loneliness and anxiety in the adolescents was 10.51 % and 8.95 %, respectively. Exposure to SHS in the past 7 days was associated with loneliness and anxiety, with odds ratios (95 % confidence intervals) of 1.15 (1.09-1.21) and 1.24 (1.17-1.31), respectively. These positive associations were observed in girls, but not in boys. In addition, there was a positive dose-response relationship between the day of exposure to SHS and loneliness and anxiety.

LIMITATIONS

The GSHS data were obtained from a self-report questionnaire and the participants were only adolescents in school.

CONCLUSIONS

Our study revealed a positive association between SHS exposure and negative emotions among non-smoking adolescents from LMICs.

Factors associated with family function in school children: Case-control study

Background

Family functionality is that which promotes the integral development of its members, as well as a favorable state of health in them; fulfilling the basic parameters of adaptation, participation, growth, affection, and resources. Family dysfunction is understood as the failure to comply with any of these functions due to an alteration in one or more of the subsystems.

Objective

There is little research on variables related to family functioning with a case-control design, for this reason, we present the family functioning of school students, identify variables found to be related to family functioning, and describe a model of variables related to family dysfunction.

Materials and methods

Analytical study of cases and controls. The sample was made up of 290 students. The APGAR scale was used to identify family dysfunction. The statistical processing was done in Epi-Info 7.0 and STATA 14.

The variables that were considered were

Municipality, area, age, sex, school grade, mother's age, disability, and displacement.

Results

The factors associated with adequate family function were: displacement, (OR = 0.17, CI: 0.03-0.99). You are followed, your parents pay attention and listen to you (OR = 0.25, CI: 0.08-0.74), you talk to your mother every day (OR = 0.35 CI: 0.16-0.74), you spend free time with your parents (OR = 0.41, CI: 0.20-0.86), play sports at least once a week (OR = 0.42, CI = 0.20-0.91), and finally, attend religious services (OR = 0.51, CI: 0.29-0.90). While the factors associated with family dysfunction were: your parents punish you by forbidding you things (OR = 2.98, CI: 1.32-6.71) and you have friends close to where you live followed by an (OR = 2.60, CI: 1.13-5.96).

Conclusions

Dysfunctionality was evident in the four municipalities of the Valley. Among the main factors associated with dysfunctionality was punishment by parents for forbidding things and having friends near the schoolchild's home.

Changes in Sleep Satisfaction of Korean Adolescents in the Pre- and Post-COVID-19 Eras and Its Effects on Health Behaviors

Adolescence is a crucial period for cognitive and psychological development and physical maturation. During this period, hormonally influenced circadian rhythms lead to reduced hours of sleep, and it is important to determine whether sleep quality is sufficient for fatigue relief. Non-face-to-face classes during coronavirus disease-2019 (COVID-19) potentially affected adolescents' sleep quality, psychological state, amount of physical activity, smoking, alcohol consumption, and internet (smartphone) use. We investigated the effects of the COVID-19 situation on adolescents' sleep satisfaction and its relation to the aforementioned factors. Data of 109,281 adolescents collected via an online survey, conducted from 3 June 2019 to 12 July 2019 and from 3 August 2020 to 13 November 2020, were analyzed. Health status comparison between the satisfactory and unsatisfactory sleep groups yielded significant results (odds ratio [OR] = 1.10, confidence interval [CI] = 1.04-1.17) for 2020. In both groups, perceived health was worse in 2019 than in 2020 (OR = 2.72, CI = 2.53-2.92). During COVID-19, non-face-to-face classes increased adolescents' sleep satisfaction. Their psychological state improved, while amount of physical activity (muscle-strengthening exercises), average weight, and internet (smartphone) use increased. Smoking and alcohol consumption decreased.

Asking youth and adults about child maltreatment: a review of government surveys

OBJECTIVES

In this review we: (1) identify and describe nationally representative surveys with child maltreatment (CM) questions conducted by governments in low-income, middle-income and high-income countries and (2) describe procedures implemented to address respondents' safety and minimise potential distress.

DESIGN

We conducted a systematic search across eight databases from 1 January 2000 to 5 July 2021 to identify original studies with information about relevant surveys. Additional information about surveys was obtained through survey methods studies, survey reports, survey websites or by identifying full questionnaires (when available).

RESULTS

Forty-six studies representing 139 surveys (98 youth and 41 adult) conducted by governments from 105 countries were identified. Surveys implemented a variety of procedures to maximise the safety and/or reduce distress for respondents including providing the option to withdraw from the survey and/or securing confidentiality and privacy for the respondent. In many surveys, further steps were taken such as providing information for support services, providing sensitivity training to survey administrators when interviews were conducted, among others. A minority of surveys took additional steps to empirically assess potential distress experienced by respondents.

CONCLUSIONS

Assessing risk and protective factors and developing effective interventions and policies are essential to reduce the burden of violence against children. While asking about experiences of CM requires careful consideration, procedures to maximise the safety and minimise potential distress to respondents have been successfully implemented globally, although practices differ across surveys. Further analysis is required to assist governments to implement the best possible safety protocols to protect respondents in future surveys.

Prevalence and factors associated with tobacco use among beneficiaries attending the youth mental health promotion clinics (Yuvaspandana Kendra) in India: A case-record analysis

INTRODUCTION

Chewing tobacco and smoking among youth leads to poor health outcomes. Understanding the factors associated with chewing tobacco and smoking is thus important for interventions.

METHODS

A case-record analysis among 10340 youth (aged 15-35 years) attending a unique mental health promotion program, Yuva Spandana, across the state of Karnataka in southern India, was performed to assess prevalence of chewing tobacco and smoking. Multiple logistic regression was applied to determine the factors associated with their use.

RESULTS

Overall, the prevalence of chewing tobacco and smoking among beneficiaries was 3% and 2.1%, respectively. The risk of tobacco chewing and smoking increased with age and risk was higher among males, married individuals and among all occupational categories, other than students. Adjusted odds ratios of chewing tobacco were found to be highest among business/salaried beneficiaries (AOR=3.48; 95% CI: 2.27-5.34), followed by ever married beneficiaries (AOR=3.41; 95% CI: 1.27-9.17). Adjusted odds ratios of smoking tobacco were highest among males (AOR=12.89; 95% CI: 7.5-22.14), followed by emotional experience of feeling worthless (AOR=4.19; 95% CI: 2.78-6.32), beneficiaries with poor relationship with family members (AOR=3.79; 95% CI: 1.38-10.44), and business/salaried beneficiaries (AOR=2.90; 95% CI: 1.79-4.7). Strength of association of males with smoking was much higher (AOR=12.89; 95% CI: 7.5-22.14) than compared with chewing tobacco (AOR=2.49; 95% CI: 1.89-3.28).

CONCLUSIONS

Early identification of these factors associated with chewing tobacco and smoking will help in focusing on youth specific health promotion and interventions to improve their overall health and wellbeing.

Underweight, overweight, and tobacco use among adolescents aged 12-15 years: Evidence from 23 low-income and middle-income countries

INTRODUCTION

Compared with the number of studies in adults, body weight in relation to tobacco use has been understudied in the adolescent population. This study aimed to examine the association between underweight, overweight and tobacco use in low- and middle-income countries.

METHODS

Data were derived from the Global School-Based Student Health Survey (GSHS). Data from 71176 adolescents aged 12-15 years residing in 23 countries were analyzed. The Centers for Disease Control and Prevention (CDC) 2000 growth charts were used to identify underweight, normal weight, and overweight/ obesity. Weighted age- and gender-adjusted prevalence of weight categories and tobacco use was calculated. Multivariate logistic regression analysis was performed to estimate the association between weight categories and tobacco use for each country, controlling for covariates. Pooled odds ratios and confidence intervals were computed using random- or fixed-effects meta-analyses.

RESULTS

A significant association between weight categories and tobacco use was evident in only a few countries. Adolescents reporting tobacco use in French Polynesia, Suriname, and Indonesia, had 72% (95% CI: 0.15-0.56), 55% (95% CI: 0.24-0.84), and 24% (95% CI: 0.61-0.94) lower odds of being underweight, respectively. Adolescents reporting tobacco use in Uganda, Algeria, and Namibia, had 2.30 (95% CI: 1.04-5.09), 1.71 (95% CI: 1.25-2.34), and 1.45 (95% CI: 1.00-2.12) times greater odds of being overweight/obese, but those in Indonesia and Malaysia had 33% (95% CI: 0.50-0.91) and 16% (95% CI: 0.73-0.98) lower odds of being overweight/obese.

CONCLUSIONS

The association between tobacco use and BMI categories is likely to be different among adolescents versus adults. Associating tobacco use with being thin may be more myth than fact and should be emphasized in tobacco prevention programs targeting adolescents.