A nationwide cross-sectional study of difficulty waking up for school among adolescents

SLEEP ◽  
2021 ◽  
Author(s):  
Yu Kinoshita ◽  
Osamu Itani ◽  
Yuichiro Otsuka ◽  
Yuuki Matsumoto ◽  
Sachi Nakagome ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
High Schools ◽  
Odds Ratio ◽  
Associated Factors ◽  
Underlying Disease ◽  
Early Morning ◽  
Poor Mental Health ◽  
Cross Sectional ◽  
Waking Up

Abstract Study Objectives To determine the prevalence of and risk-factors for difficulty waking up for school among adolescents. Methods We used a self-administered questionnaire (140 junior high schools [JHSs]; 124 senior high schools [SHSs]) selected randomly in 2012 from throughout Japan. Results Total response rate: 60.7%. Data from 38,494 JHS and 61,556 SHS students were analyzed. The prevalence of at least one instance of school tardiness/absence due to difficulty waking up over a 30-day period was 10.9(95% confidence-interval:10.5-11.3)%/2.9(2.7-3.1)% for JHS-boys and 7.7(7.3-8.1)%/2.0(1.8-2.2)% for JHS-girls. The prevalence was 15.5(15.1-15.9)%/5.6(5.3-5.9)% for SHS-boys and 14.4(14.0-14.8)%/5.9(5.6-6.2)% for SHS-girls. We used ordinal regression to identify the risk factors associated with the experience of school tardiness/absence. Factors significantly associated with school tardiness in all four groups (JHS boys/girls, SHS boys/girls) were “no-participation-in-club-activities,” “early-morning-awakening,” “feeling bad throughout a morning,” “drinking,” and “smoking.” Among associated factors, the highest odds ratio was found for monthly smoking-days (none vs. at least one-day or more) for JHS-girls at 5.30(3.57-7.85). Factors significantly associated with school absence in all four groups were “no wishing to go to university,” “no participation in club activities,” “disorders of initiating and maintaining sleep,” “long internet use,” “drinking,” “smoking,” “poor-mental-health” and “feeling bad throughout a morning.” Among associated factors, the highest odds ratio was found for monthly smoking-days (none vs. at least one-day or more) for JHS-girls at 4.60(3.45-6.15). Conclusions These results suggest that the risk factors for difficulty waking up among adolescents are sleep status, lifestyle, and mental health, which can indicate the presence of an underlying disease.

Precarious employment, psychosocial risk factors and poor mental health: A cross-sectional mediation analysis

2021 ◽  
Vol 143 ◽  
pp. 105439
Author(s):  
Fabrizio Méndez Rivero ◽  
Eva Padrosa ◽  
Mireia Utzet ◽  
Joan Benach ◽  
Mireia Julià
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Mediation Analysis ◽  
Poor Mental Health ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Cross Sectional ◽  
Precarious Employment

scholarly journals 1515Screened blood pressure and its associated factors among adolescents

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Rim Ghammem ◽  
Sarrah Soua ◽  
Nawel Zammit ◽  
Siheme Ben Fredj ◽  
Cyrine Ben Nasrallah ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Blood Pressure ◽  
Secondary School ◽  
Associated Factors ◽  
Binary Logistic Regression ◽  
Female Gender ◽  
Cross Sectional Study ◽  
School Students ◽  
Cross Sectional

Abstract Background Hypertension (HTN) could have its origin in childhood and remain undetected unless a special screening is done during this period. We conducted this study to determine the screened HTN prevalence in adolescents and its associated factors, in order to increase the awareness on this subject and lead the state to make preventive strategies. Methods A cross-sectional study was carried among secondary school students in Sousse, Tunisia, during 2017-2018 school year. Blood pressure and anthropometric indices were measured. A structured questionnaire was used to collect information about socio demographic characteristics, lifestyle, addictive behavior and mental health status. Results A total of 1399 adolescents participated in the study. The prevalence of screened HTN was 15.6% (95% CI[13.8% -17.5%]). It was significantly higher in boys (23.1%) than in girls (10.7%; p ≤ 10-3). After binary logistic regression, positively associated factors to screened HTN in total population were: obesity (aOR=3.69; p ≤ 10-3), and overweight (aOR=1.7; p ≤ 10-3). Female gender (aOR=0.4; p ≤ 10-3), School failure (aOR=0.64; p = 0.014) and depression (aOR=0.67;p=0.017) were negatively associated to screened HTN. Conclusions Our study showed an alarming prevalence of high blood pressure among secondary school adolescents in our Low Middle Income Country and that it was mainly associated with weight excess. This emphasizes the emergent need of a comprehensive strategy for the prevention and control of hypertension and NCD risk factors among youth. Key messages Hypertension is an alarming emerging problem among youth in LMIC The emergent need of an effective strategy to prevent NCD risk factors in LMIC Keywords Hypertension Prevalence - Adolescent lifestyle- behavior, addictive - mental health

scholarly journals Back pain, mental health and substance use are associated in adolescents

2019 ◽  
Vol 41 (3) ◽  
pp. 487-493
Author(s):  
S J Kamper ◽  
Z A Michaleff ◽  
P Campbell ◽  
K M Dunn ◽  
T P Yamato ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Back Pain ◽  
Health Risk ◽  
Poor Mental Health ◽  
Anxiety And Depression ◽  
Health Risk Factors ◽  
Cross Sectional ◽  
Pain Frequency ◽  
Healthy Schools

Abstract Background During adolescence, prevalence of pain and health risk factors such as smoking, alcohol use and poor mental health all rise sharply. The aim of this study was to describe the relationship between back pain and health risk factors in adolescents. Methods Cross-sectional data from the Healthy Schools Healthy Futures study, and the Australian Child Wellbeing Project was used, mean age: 14–15 years. Children were stratified according to back pain frequency. Within each strata, the proportion of children that reported drinking alcohol or smoking or that experienced feelings of anxiety or depression was reported. Test-for-trend analyses assessed whether increasing frequency of pain was associated with health risk factors. Results Data was collected from ~2500 and 3900 children. Larger proportions of children smoked or drank alcohol within each strata of increasing pain frequency. The trend with anxiety and depression was less clear, although there was a marked difference between the children that reported no pain, and pain more frequently. Conclusion Two large, independent samples show adolescents that experience back pain more frequently are also more likely to smoke, drink alcohol and report feelings of anxiety and depression. Pain appears to be part of the picture of general health risk in adolescents.

scholarly journals Predictors and occurrence of antenatal depressive symptoms in Galle, Sri Lanka: a mixed-methods cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sage Wyatt ◽  
Truls Ostbye ◽  
Vijitha De Silva ◽  
Prabodha Lakmali ◽  
Qian Long
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Social Support ◽  
Depressive Symptoms ◽  
Sri Lanka ◽  
Antenatal Depression ◽  
Poor Mental Health ◽  
Clinical Practices ◽  
Cross Sectional ◽  
Antenatal Depressive Symptoms

Abstract Background There is a high prevalence of antenatal depression in low-or-middle-income countries, but information about risk factors in these settings is still lacking. The purpose of this study is to measure the prevalence of and explore risk factors associated with antenatal depressive symptoms in Galle, Sri Lanka. Methods This study used a mixed-method approach. The quantitative portion included 505 pregnant women from Galle, Sri Lanka, with health record data, responses to psychometric questionnaires (MSPSS and PRAQ-R2), and antenatal depression screening (EPDS). The qualitative portion included interviews with public health midwives about their experiences and routine clinical practices with women with antenatal depressive symptoms. Results Prevalence of antenatal depressive symptoms was 7.5%, highest in women over the age of 30 (13.0%, OR = 3.88, 95%CI = 1.71 – 9.97), with diabetes (21.9%, OR = 3.99, 95%CI = 1.50 – 9.56), or pre-eclampsia in a previous pregnancy (19.4%, OR = 3.32, 95%CI = 1.17 – 8.21). Lower prevalence was observed in the primiparous (3.3%, OR = 0.29, 95%CI = 0.12 – 0.64) employed outside the home (3.6%, OR = 0.33, 95%CI = 0.13 – 0.72), or upper-middle class (2.3%, OR = 0.17, 95%CI = 0.04 – 0.56). Anxiety levels were elevated in depressed women (OR = 1.13, 95%CI = 1.07 – 1.20), while perceived social support was lower (OR = 0.91, 95%CI = 0.89 – 0.93). After multivariable adjustment, only parity (OR = 0.20, 95%CI 0.05 – 0.74) and social support from a “special person” (OR = 0.94, 95%CI = 0.77 – 0.95) remained significantly associated with depressive symptoms. Qualitative findings also identified antenatal health problems and poor social support as risk factors for depressive symptoms. They also identified different contributing factors to poor mental health based on ethnicity, higher stress levels among women working outside the home, and misinformation about health conditions as a cause of poor mental health. Conclusions Prevalence of antenatal depressive symptoms in Galle is lower than the recorded prevalence in other regions of Sri Lanka. Risk factors for antenatal depressive symptoms were identified on biological, psychological, and social axes. These variables should be considered when developing future guidelines for mental health and obstetric treatment in this context.

scholarly journals Sociodemographic and Psychological Risk Factors for Anxiety and Depression: Findings from the Covid-19 Health and Adherence Research in Scotland on Mental Health (CHARIS-MH) Cross-sectional Survey

2021 ◽  
Author(s):  
Gill Hubbard ◽  
Chantal den Daas ◽  
Marie Johnston ◽  
Diane Dixon
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Social Support ◽  
Illness Representations ◽  
Gender Effects ◽  
Anxiety And Depression ◽  
Perceived Threat ◽  
Cross Sectional ◽  
Psychological Risk Factors ◽  
Psychological Risk

Abstract Background Investigations about mental health report prevalence rates with fewer studies investigating psychological and social factors influencing mental health during the Covid-19 pandemic. Study aims: (1) identify sociodemographic groups of the adult population at risk of anxiety and depression and (2) determine if the following social and psychological risk factors for poor mental health moderated these direct sociodemographic effects: loneliness, social support, threat perception, illness representations. Methods Cross-sectional nationally representative telephone survey in Scotland in June 2020. If available, validated instruments were used, for example, Patient Health Questionnaire (PHQ-4) to measure anxiety and depression. Simple linear regressions followed by examination of moderation effect. Results A total of 1006 participants; median age 53 years, 61.4% female, from all levels of area deprivation (i.e., 3.8% in the most deprived decile and 15.6% in the most affluent decile). Analyses show associations of anxiety and depression with sociodemographic (age, gender, deprivation), social (social support, loneliness) and psychological factors (perceived threat and illness representations). Mental health was poorer in younger adults, women and people living in the most deprived areas. Age effects were exacerbated by loneliness and illness representations, gender effects by loneliness and illness representations and deprivation effects by loneliness, social support, illness representations and perceived threat. In each case, the moderating variables amplified the detrimental effects of the sociodemographic factors. Conclusions These findings confirm the results of pre-Covid-19 pandemic studies about associations between sociodemographics and mental health. Loneliness, lack of social support and thoughts about Covid-19 exacerbated these effects and offer pointers for pre-emptive action.

scholarly journals Epidemiology of hypertension in selected towns of Wollega zones, Western Ethiopia, 2019: A community-based cross-sectional study

2021 ◽  
Vol 9 ◽  
pp. 205031212110245
Author(s):  
Getu Mosisa ◽  
Bikila Regassa ◽  
Bayise Biru
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Alcohol Consumption ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Cross Sectional Study ◽  
Care Providers ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional

Introduction: Hypertension remains an emerging public health problem globally, particularly in developing countries. Age, income level, obesity, alcohol consumption, smoking, vegetables and fruit consumption, physical activity and chat chewing were some risk factors of hypertension. However, there are limited data on the epidemiology of hypertension in Ethiopia. This study aimed to assess Epidemiology of Hypertension among the community of selected towns of Wollega zones. Methods: A community-based cross-sectional study was conducted from 1 to 30 June 2019 in selected towns of Wollega zones. A multistage sampling technique was used to select 840 study participants. Data were collected using the WHO STEP wise approach. The data were coded and entered into EpiData 3, and exported to SPSS version 20.0 for analysis. Bivariate and multivariable logistic regression analyses were conducted. Statistical significance was declared at p-value < 0.05. Results: The study included a total of 838 respondents with a response rate of 99.7%. The prevalence of hypertension was found to be 189 (22.6%) (95% confidence interval = 19.9%–25.2%). Of this, 108 (12.9%) and 81 (9.7%) of female and male were hypertensive, respectively. Age groups of 30–44 years (adjusted odds ratio = 2.65 (1.43, 4.89)), 45–59 years (adjusted odds ratio = 3.55 (1.79, 7.04)), above 60 years (adjusted odds ratio = 2.97 (1.43, 6.18)), having history of alcohol consumption (adjusted odds ratio = 4.29 (2.4, 7.66)), involving in vigorous physical activity (adjusted odds ratio = 0.096 (0.028, 0.33)), not walking to and from the work (adjusted odds ratio = 13.12 (8.34, 20.67)), being overweight (adjusted odds ratio = 1.98 (1.21, 3.25)), inadequate fruits serving per day (adjusted odds ratio = 2.93 (1.75, 4.88)) were significantly associated with hypertension. Conclusion: The prevalence of hypertension was found to be high in the study area. Older age, alcohol consumption, not engaging in vigorous activity, physical inactivity, being overweight and inadequate intake of fruits were found to be risk factors for hypertension. Therefore, health care providers should provide extensive health education and promotion on recommended lifestyle modification to tackle the burden of hypertension.

scholarly journals Mental health, compliance with measures and health prospects during the COVID-19 epidemic: the role of health literacy

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lize Hermans ◽  
Stephan Van den Broucke ◽  
Lydia Gisle ◽  
Stefaan Demarest ◽  
Rana Charafeddine
Keyword(s):  
Mental Health ◽  
At Risk ◽  
Health Literacy ◽  
Prevalence Ratio ◽  
Physical Distance ◽  
Poor Mental Health ◽  
Infection Prevalence ◽  
Cross Sectional ◽  
Normal Life ◽  
Low Health Literacy

Abstract Background The importance of health literacy in dealing with the COVID-19 epidemic has been emphasized but scarcely addressed empirically. In this study, the association of health literacy with mental health, compliance with COVID-19 preventive measures and health prospects was assessed in a Belgian context. Methods Data were extracted from the third of a series of cross-sectional online COVID-related surveys (n = 32,794). Data collection took place for 1 week starting the 28th of May 2020. People residing in Belgium and aged 18 years or older could participate. Data were collected on sociodemographic background, health literacy, multimorbidity, mental health (depression, anxiety, sleeping disorder, vitality), knowledge about COVID-19, compliance with COVID-19 measures (hygiene, physical distance, covering mouth and nose on public transport and in places where physical distance cannot be respected), and health prospects (risk for health when returning to normal life and possibility of infection). Prevalence Ratio (PR) of poor mental health, non-compliance with the measures and health prospects in relation to health literacy were calculated using Poisson regressions. Results People showing sufficient health literacy were less likely to suffer from anxiety disorders (PR = 0.47, 95% CI = [0.42–0.53]), depression (PR = 0.46, 95% CI = [0.40–0.52]) and sleeping disorders (PR = 0.85, 95% CI = [0.82–0.87]), and more likely to have optimal vitality (PR = 2.41, 95% CI = [2.05–2.84]) than people with low health literacy. They were less at risk of not complying with the COVID-19 measures (PR between 0.60 and 0.83) except one (covering mouth and nose in places where physical distance cannot be respected). Finally, they were less likely to perceive returning to normal life as threatening (PR = 0.70, 95% CI = [0.65–0.77]) and to consider themselves at risk of an infection with COVID-19 (PR = 0.75, 95% CI = [0.67–0.84]). The associations remained significant after controlling for COVID-19 knowledge and multimorbidity. Conclusions These results suggest that health literacy is a crucial factor in managing the COVID-19 epidemic and offer a perspective for future studies that target health literacy in the context of virus outbreaks.

scholarly journals The Associated Factors of Prolonged Screen Time and Using Electronic Devices before Sleep among Elderly People in Shaanxi Province of China: A Cross-Sectional Study

2021 ◽  
Vol 18 (13) ◽  
pp. 7020
Author(s):  
Yaxuan Zhang ◽  
Jiwei Wang ◽  
Xinyuan Lu ◽  
Beibei Che ◽  
Jinming Yu
Keyword(s):  
Sleep Quality ◽  
Screen Time ◽  
Odds Ratio ◽  
Associated Factors ◽  
Electronic Devices ◽  
Cross Sectional Study ◽  
Shaanxi Province ◽  
Sectional Study ◽  
Monthly Income ◽  
Cross Sectional

This study aimed to investigate prolonged screen time and using electronic devices before sleep and their associated factors in elderly people in Shaanxi province of China. We conducted a cross-sectional study among 2647 elderly participants aged 60–88 years. Data were collected through questionnaires. Demographic characteristics, screen time, using electronic devices before sleep, health status, lifestyles, sleep quality, and other associated factors were investigated. Logistic regression analysis was used to analyze the relationship between the associated factors of screen time and using electronic devices before sleep. The crude odds ratio (cOR) and adjusted odds ratio (aOR) and their 95% confidence intervals (CI) were calculated. A total of 1784 subjects completed the questionnaire. There were 6.89% participants with prolonged screen time and 13.45% using electronic devices before sleep frequently. Prolonged screen time was associated with personal monthly income (aOR = 1.205, p = 0.001), number of household residents (aOR = 0.860, p = 0.010), rural residents (aOR = 0.617, p = 0.038), and regular drinkers (aOR = 2.889, p < 0.001). Using electronic devices before sleep was associated with being female (aOR = 0.657, p = 0.007), family monthly income (aOR = 0.866, p = 0.002), being an occasional drinker (aOR = 1.891, p = 0.005), and self-reported sleep quality (aOR = 1.593, p = 0.007). In conclusion, several factors related to screen time or using electronic devices before sleep were identified. Only being a drinker was a common associated factor for both screen time and using electronic devices before sleep.

Prevalence of Mental Disorders by Socioeconomic Status in Australia: A Cross-Sectional Epidemiological Study

2020 ◽  
pp. 089011712096865
Author(s):  
Rubayyat Hashmi ◽  
Khorshed Alam ◽  
Jeff Gow ◽  
Sonja March
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Socioeconomic Status ◽  
Mental Disorders ◽  
National Health Survey ◽  
Cross Sectional ◽  
Lower Odds ◽  
Socioeconomic Groups ◽  
Income Groups ◽  
Weighted Prevalence

Purpose: To present the prevalence of 3 broad categories of mental disorder (anxiety-related, affective and other disorders) by socioeconomic status and examine the associated socioeconomic risk factors of mental disorders in Australia. Design: A population-based, cross-sectional national health survey on mental health and its risk factors across Australia. Setting: National Health Survey (NHS), 2017-2018 conducted by the Australian Bureau of Statistics (ABS) Participants: Under aged: 4,945 persons, Adult: 16,370 persons and total: 21,315 persons Measures: Patient-reported mental disorder outcomes Analysis: Weighted prevalence rates by socioeconomic status (equivalised household income, education qualifications, Socio-Economic Index for Areas (SEIFA) scores, labor force status and industry sector where the adult respondent had their main job) were estimated using cross-tabulation. Logistic regression utilizing subsamples of underage and adult age groups were analyzed to test the association between socioeconomic status and mental disorders. Results: Anxiety-related disorders were the most common type of disorders with a weighted prevalence rate of 20.04% (95% CI: 18.49-21.69) for the poorest, 13.85% (95% CI: 12.48-15.35) for the richest and 16.34% (95% CI: 15.7-17) overall. The weighted prevalence rate for mood/affective disorders were 20.19% (95% CI: 18.63-21.84) for the poorest, 9.96% (95% CI: 8.79-11.27) for the richest, and 13.57% (95% CI: 12.99-14.17) overall. Other mental disorders prevalence were for the poorest: 9.07% (95% CI: 7.91-10.39), the richest: 3.83% (95% CI: 3.14-4.66), and overall: 5.93% (95% CI: 5.53-6.36). These patterns are also reflected if all mental disorders were aggregated with the poorest: 30.97% (95% CI: 29.15-32.86), the richest: 19.59% (95% CI: 18.02-21.26), and overall: 23.93% (95% CI: 23.19-24.69). The underage logistic regression model showed significant lower odds for the middle (AOR: 0.75, 95% CI: 0.53 -1.04, p < 0.1), rich (AOR: 0.71, 95% CI: 0.5-0.99, p < 0.05) and richest (AOR: 0.6, 95% CI: 0.41-0.89, p < 0.01) income groups. Similarly, in the adult logistic model, there were significant lower odds for middle (AOR: 0.84, 95% CI: 0.72-0.98, p < 0.05), rich (AOR: 0.73, 95% CI: 0.62-0.86, p < 0.01) and richest (AOR: 0.76, 95% CI: 0.63-0.91, p < 0.01) income groups. Conclusion: The prevalence of mental disorders in Australia varied significantly across socioeconomic groups. Knowledge of different mental health needs in different socioeconomic groups can assist in framing evidence-based health promotion and improve the targeting of health resource allocation strategies.

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