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

2018 ◽  
Author(s):  
SJ Kamper ◽  
ZA Michaleff ◽  
P Campbell ◽  
KM Dunn ◽  
TP Yamato ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Back Pain ◽  
Health Risk ◽  
General Health ◽  
Poor Mental Health ◽  
Anxiety And Depression ◽  
Health Risk Factors ◽  
The Past ◽  
Pain Frequency

AbstractBackgroundDuring adolescence, prevalence of pain and health risk factors such as smoking, alcohol use, and poor mental health rise sharply. While these risk factors and mental health are accepted public health concerns, the same is not true for pain. The aim of this study was to describe the relationship between back pain and health risk factors in adolescents.MethodsCross-sectional data from the Healthy Schools Healthy Futures study, and the Australian Child Wellbeing Project was used. The mean age of participants was 14-15 years. Children were stratified according to the frequency they experienced back pain over the past 6 months. Within each strata, the proportion of children that reported drinking alcohol or smoking in the past month and the proportion 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.ResultsData from approximately 2,500 and 3,900 children in the two studies was analysed. Larger proportions of children smoked or drank alcohol within each strata of increasing pain frequency. The trend with report of anxiety and depression was less clear, although there was a marked difference between the children that reported pain ‘rarely or never’, and those that experienced back pain more frequently.ConclusionTwo large, independent samples show Australian 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.What is already known on this subject?The prevalence of back pain rises steeply during the adolescent years, and is responsible for considerable personal impact in a substantial minority. During this time, indicators of adverse health risk such as smoking, alcohol use, anxiety and depression also increase in prevalence. Pain and lifestyle-related health risk factors can have ongoing consequences that stretch into adulthood.What this study adds?This study shows a close relationship between increasing pain frequency, and tendency to engage in health risk behaviours and experience indicators of poor mental health in adolescents. This study shows that pain may be an important consideration in understanding the general health, and health risk in adolescents.

scholarly journals Are depression, anxiety and poor mental health risk factors for knee pain? A systematic review

2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Pyae P Phyomaung ◽  
Julia Dubowitz ◽  
Flavia M Cicuttini ◽  
Sanduni Fernando ◽  
Anita E Wluka ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Systematic Review ◽  
Health Risk ◽  
Knee Pain ◽  
Poor Mental Health ◽  
Health Risk Factors

Life Events and Other Risk Factors for Somatic Symptoms in Adolescence

PEDIATRICS ◽  
1995 ◽  
Vol 96 (1) ◽  
pp. 59-63
Author(s):  
Kari Poikolainen ◽  
Riitta Kanerva ◽  
Jouko Lönnqvist
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Health Risk ◽  
Somatic Symptoms ◽  
Cross Sectional Study ◽  
Female Students ◽  
Male Students ◽  
Health Risk Factors ◽  
Cross Sectional ◽  
Serious Disease

Objective. To determine mental health risk factors related to somatic symptoms, common in adolescence. Design. Cross-sectional study. Setting. Ten schools, corresponding approximately to Us senior high schools, in two cities in Finland. Subjects. A total of 1429 adolescents with no serious disease or injury during the previous 12 months. Results. Frequent or rather frequent occurrence of two or more symptoms was reported by 44% of the female students and 28% of the male students during the past 6 months. Regression analyses showed that among female students, somatic symptoms were associated positively with serious illness or injury in the family, an increased number of arguments between parents, and breaking up with boyfriends or girlfriends; among male students, symptoms were associated with an increased absence of a parent from the home and trouble with siblings; and among both sexes, they were associated with failing examinations. Among male students, changing to new schools was associated with fewer symptoms. Symptom scores associated positively with trait anxiety, trait depression, an immature defense style, and alcohol or drug use among both sexes. Among male students, smoking was associated with more symptoms, and among female students, high self-esteem was associated with fewer symptoms. Conclusions. These findings suggest that mental health risk factors are strong correlates of somatic symptoms among adolescents with no serious disease. Follow-up studies are needed to clarify the predictive value of these factors.

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.

Cannabis use among early adolescents and transdiagnostic mental health risk factors

2021 ◽  
pp. 135910452199463
Author(s):  
Sara Moreno-Mansilla ◽  
Jorge J Ricarte ◽  
David J Hallford
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Health Risk ◽  
Suicide Attempts ◽  
Intolerance Of Uncertainty ◽  
Cannabis Use ◽  
Health Risk Factors ◽  
Symptoms Of Depression ◽  
Modifiable Factors ◽  
Wide Range

Introduction: Cannabis is the most widely used psychoactive substance among adolescents worldwide, and the age at which consumption begins to decrease. Cannabis use in adolescents is associated with a wide range of adverse consequences in adulthood including increased vulnerability to psychosis and other mental disorders, as well as suicidal ideation and attempt. The aim of this study is to extend understanding of the link between cannabis use and mental illness by examining whether cannabis use at early ages predicts transdiagnostic variables that are precursors to severe clinical diagnoses. Methods: A descriptive cross-sectional study was conducted. The sample was made up of 605 adolescents from 7th to 9th grades, with a mean age of 13.2 years ( SD = 1.0, 47% girls). The variables evaluated were: anomalous perception of reality, intolerance of uncertainty, rumination, suicide attempt, hopelessness, and symptoms of depression and anxiety. The administration of the questionnaires was carried out in groups of 20 participants under the supervision of a researcher in a unique session of 1 hour. Results: Adolescent cannabis users scored higher on all variables assessed: anomalous perception of reality (Cohen’s d = .60), rumination ( d = .48), intolerance of uncertainty ( d = .11), suicidal attempt (affirmative answer: 25.9% of users vs 7.7% of non-users), hopelessness ( d = .85), symptoms of depression ( d = .80), and anxiety ( d = .39). A binary logistic regression showed that the only variable uniquely related to cannabis use was hopelessness (Wald = 4.560, OR: 1.159, p = .033). Conclusions: Among some mental health risk factors, hopelessness appears uniquely related to cannabis use. Adolescents may use cannabis as a coping strategy for negative thoughts and emotions, or it may be a consequence of cannabis use. Future prevention programs should focus on preventing/treating modifiable factors such as hopelessness, and delaying cannabis use in specific subgroups of adolescents who experience pathologies such as depression or suicide attempts.

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

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.

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