Resilience and patterns of health risk behaviors in California adolescents

Resilience profiles of elite athletes and their associations with health-related behaviors, well-being, and performance: A latent profile analysis

Resilience is an important factor in the performances of elite athletes as it helps them overcome the adversity they face on a daily basis. It is a dynamic process with resilience qualities evolving throughout athletes' sporting careers. Recent research has established links between resilience, sports performance, lifestyle, and health-related factors. However, no study has yet focused on the resilience profiles of athletes (i.e., sub-groups of individuals with similar levels of different resilience qualities). The aims of this study were to: (a) explore the resilience profiles of elite athletes, (b) determine the characteristics of these resilience profiles (i.e., health-related behaviors, well-being, perceived social support), and (c) determine the correlates of these profiles at intrapersonal and interpersonal levels. Latent profile analysis was performed on 307 French elite athletes. Results revealed "high resilience" and "moderate resilience" profiles. Athletes with "high resilience" profiles were more likely to be men, exhibit better health-related behaviors, and have higher levels of psychological well-being and perceived performance. High levels of conscientiousness, extraversion, the dimensions of the coach-athlete relationship and the motivational climate were also related to the "high resilience" profile. This study is the first to explore the resilience profiles of elite athletes. The results suggest that a high level of resilience is related to the adoption of health-related behaviors favorable to elite sport. Based on these findings, health promotion programs targeting the concept of resilience should be developed in elite sport centers for athletes, coaches, and parents.

Clinical heterogeneity of sleep quality, emotional and behavioral characteristics, and eating habits in adolescents with obesity: A cluster analysis

This study aims to examine the role of sleep quality, emotional and behavioral characteristics, and eating behavior in adolescents with obesity by means of cluster analysis. One hundred ninety-four adolescents (78 girls, 116 boys) aged 12-17 (mean 14.3 ± 2.7) with obesity (ICD-10 code E 66.0) entered the study. The Adolescent Sleep Wake Scale was used to evaluate sleep quality. The Achenbach Youth Self-Report for Ages 11-18 questionnaire was used to evaluate emotional and behavioral disturbances. The Dutch Eating Behavior Questionnaire was used to assess maladaptive eating. k-Means cluster analysis was used to clarify heterogeneity. Four clusters were identified: the first included anxious, depressed, socially withdrawn adolescents with thought problems and somatic complaints, non-aggressive, obedient, and having mean values on the sleep quality scale, inclined to restrict their food consumption. The second consisted of rule-breaking youngsters with poor sleep quality, reluctant to restrict their food consumption. The third comprised subjects with the highest values on the sleep quality and lowest values on emotional and behavioral problems, aimed at restricting food consumption. The fourth comprised adolescents with obvious signs of emotional disorders, poorest sleep quality, disinhibited behavior, and emotional and external eating. No statistically significant difference was found between the clusters in sex distribution. Patient allocation to the second or fourth cluster was associated with significantly higher body mass index values, as opposed to the reference third cluster.    Conclusion: There is significant variation in teenagers with obesity who have divergent psychological profiles, which should be taken into account. What is Known: • Patients with obesity present with different clinical characteristics. What is New: • Adolescents with obesity may be partitioned into clusters described in terms of emotional, behavioral patterns, including sleep characteristics, and maladaptive eating habits.

Resilience and associated factors in orphaned and separated adolescents in Kenya: Understanding the relationship with care environment and HIV risks

Orphans are at higher risk of HIV infection and several important HIV risk factors than non-orphans; however, this may be due to a combination of related social, psychological, and economic factors, as well as care environment, rather than orphan status alone. Understanding these complex relationships may aid policy makers in supporting evidence-based, cost-effective programming for this vulnerable population. This longitudinal study uses a causal effect model to examine, through decomposition, the relationship between care environment and HIV risk factors in orphaned and separated adolescents and youths (OSAY) in Uasin Gishu County, Kenya; considering resilience, social, peer, or family support, volunteering, or having one's material needs met as potential mediators. We analysed survey responses from 1105 OSAY age 10-26 living in Charitable Children's Institutions (CCI) (orphanages) and family-based care settings (FBS). Follow-up time was 7-36 months. Care in CCIs (vs. FBS) was associated with a decreased likelihood of engaging in forced, exchange, and consensual sex. Excess relative risks (ERR) attributable to the indirect pathway, mediation, or interaction were not significant in any model. Care environment was not statistically associated with differences in substance use. Our findings support the direct, unmediated, association between institutional care and HIV risk factors.

Temporal Patterns of Diet and Physical Activity and of Diet Alone Have More Numerous Relationships With Health and Disease Status Indicators Compared to Temporal Patterns of Physical Activity Alone

BACKGROUND

Daily temporal patterns of energy intake (temporal dietary patterns [TDPs]) and physical activity (temporal physical activity patterns [TPAPs]) have been independently and jointly (temporal dietary and physical activity patterns [TDPAPs]) associated with health and disease status indicators.

OBJECTIVE

The aim of this study was to compare the number and strength of association between clusters of daily TDPs, TPAPs, and TDPAPs and multiple health and disease status indicators.

DESIGN

This cross-sectional study used 1 reliable weekday dietary recall and 1 random weekday of accelerometer data to partition to create clusters of participants representing the 3 temporal patterns. Four clusters were created via kernel-k means clustering algorithm of the same constrained dynamic time warping distance computed over the time series for each temporal pattern.

PARTICIPANTS/SETTING

From the National Health and Nutrition Examination Survey (2003-2006), 1,836 US adults aged 20 through 65 years who were not pregnant and had valid diet, physical activity, sociodemographic, anthropometric, questionnaire, and health and disease status indicator data were included.

MAIN OUTCOME MEASURES

Health status indicators used as outcome measures were body mass index, waist circumference, fasting plasma glucose, hemoglobin A1c, triglycerides, high-density lipoprotein cholesterol, total cholesterol, and systolic and diastolic blood pressure; disease status indicators included obesity, type 2 diabetes mellitus, and metabolic syndrome.

STATISTICAL ANALYSES PERFORMED

Multivariate regression models determined associations between the clusters representing each pattern and health and disease status indicators, controlling for confounders and adjusting for multiple comparisons. The number of significant differences among clusters and adjusted R2 and Akaike information criterion compared the strength of associations between clusters of patterns and continuous and categorical health and disease status indicators.

RESULTS

TDPAPs showed 21 significant associations with health and disease status indicators, including body mass index, waist circumference, obesity, and type 2 diabetes; TDPs showed 19 significant associations; and TPAPs showed 8 significant associations.

CONCLUSIONS

TDPAPs and TDPs had stronger and more numerous associations with health and disease status indicators compared with TPAPs. Patterns representing the integration of daily dietary habits hold promise for early detection of obesity.

Narrative Review and Analysis of the Use of "Lifestyle" in Health Psychology

Lifestyle is a complex and often generic concept that has been used and defined in different ways in scientific research. Currently, there is no single definition of lifestyle, and various fields of knowledge have developed theories and research variables that are also distant from each other. This paper is a narrative review of the literature and an analysis of the concept of lifestyle and its relationship to health. This contribution aims to shed light on the lifestyle construct in health psychology. In particular, the first part of this manuscript reexamines the main definitions of lifestyle in the psychological and sociological fields through three perspectives: internal, external, and temporal. The main components that characterise lifestyle are highlighted. The second part of this paper explores the main concepts of lifestyle in health, underlining their strengths and weaknesses, and proposes an alternative definition of a healthy lifestyle, which integrates the individual dimensions with the social and cycle dimensions of life. In conclusion, a brief indication of a research agenda is presented.

Joint Temporal Patterns By Integrating Diet and Physical Activity

Both diet and physical activity are associated with obesity and chronic diseases such as diabetes and metabolic syndrome. Early efforts in connecting dietary and physical activity behaviors to generate patterns rarely considered the use of time. In this paper, we propose a distance-based cluster analysis approach to find joint temporal diet and physical activity patterns among U.S. adults ages 20-65. Dynamic Time Warping (DTW) generalized to multi-dimensions is combined with commonly used clustering methods to generate unbiased partitioning of the National Health and Nutrition Examination Survey 2003-2006 (NHANES) dataset. The clustering results are evaluated using visualization of the clusters, the Silhouette Index, and the associations between clusters and health status indicators based on multivariate regression models. Our experiments indicate that the integration of diet, physical activity, and time has the potential to discover joint temporal patterns with association to health.

Congruence between Physical Activity Patterns and Dietary Patterns Inferred from Analysis of Sex Differences in Lifestyle Behaviors of Late Adolescents from Poland: Cophylogenetic Approach

Global trends toward physical inactivity and the replacement of healthy dietary behaviors with unhealthy food consumption, particularly in late adolescence, were commonly observed. Thus, the aim of this work was twofold: (1) to examine congruence between PAPs and DPs by identifying sex differences in healthy and unhealthy behaviors and (2) to assess the explanation behind why certain participants were classified into clusters using BMI and fat mass covariates. Late adolescents (19-21 years of age, n = 107) were selected to study. PAPs and DPs were assessed with questionnaires (IPAQ, QEB) and body height, weight, and fat mass percentage were self-reported (the accuracy and reliability of self-reported data were empirically verified). A cophylogenetic approach with several clustering procedures (heatmaps and tanglegrams) was the way to solve the stated problems. Results showed that students achieved the minimal level of physical activity, lower than students from other regions in Poland, Czech Republic, or Germany. There was congruence between PAPs and DPs in some males' and females' behaviors. Significant similarities in sex patterns of behaviors were revealed (Mantel tests-PAPs: r = 0.70, p < 0.001; DPs: r = 0.84, p < 0.001). Similarities in PAPs were related to transportation cycling and school/work activities behaviors. Non-healthy triads in dietary behaviors were found: fast-food, sweetened beverages, and alcoholic drinks in the first, and sweets, fried meals, and yellow cheese in the second. One healthy diad was revealed: vegetables and fruits. Only females' dietary behaviors were reflected in body mass index (F = 3.19, p = 0.049), percentage of body fat (F = 3.87, p = 0.027), and fat mass index (F = 3.83, p = 0.028). The usefulness of the cophenetic approach in patterns study was verified. Sex similarities and specific disparities could help preparing targeted tailored intervention programs that improve healthy habits in late adolescents. This is especially important in relation to females, who more strongly reflected dietary behaviors in body composition.

A factor analytic approach to understanding health risk behaviors and resilience among multi-racial/ethnic adolescents in New Mexico

OBJECTIVE

This study examined the factor validity of health risk behaviors and resilience indicators and their covariation across a large racially/ethnically diverse adolescent population.

DESIGN

The study subsample (47% Hispanic, 31% White Non-Hispanic, 17% American Indian) was derived from the 2013 New Mexico Youth Risk Resilience Survey (YRRS; N-19,033). We conducted a confirmatory factor analysis on the 6 health risk domains identified by the CDC as contributing most to adolescent morbidity/mortality: (1) cigarette use, (2) alcohol and other illicit drug use, (3) marijuana use, (4) sexual activity, (5) nutrition habits, and (6) physical activity.

RESULTS

A 4-factor CFA model of adolescent health risk behaviors was replicated, and a hypothesized 6-factor structure based on behaviors that contribute most to adolescent morbidity/mortality was confirmed. The pattern of covarying risk behaviors differed by Hispanic, Native American, and Non-Hispanic White groups. We also confirmed a single external resilience-interference factor (decreased parental support, low school/community engagement, negative peer associations) that positively correlated with all six risk behaviors.

CONCLUSION

This study described the structure of adolescent health risk behaviors within a context of psychosocial resilience for American Indian and Hispanic adolescents in contrast to Non-Hispanic White adolescents. Our findings provided evidence for the construct validity of six health-risk behavior dimensions within a large racially/ethnically diverse adolescent sample, which reveal different patterns of loadings, degrees of model fit, and factor inter-correlations across the three racial/ethnic groups. Patterns of covarying risk behaviors differed in strength and direction by racial/ethnic group. Results suggest that interventions should target multiple behaviors and be tailored for different racial/ethnic groups. Targeting health risk and resilience indicators supports the use of multi-level health interventions at the individual, school, family, and community level by identifying individuals based on external resilience scores.

Identifying local authority need for, and uptake of, school-based physical activity promotion in England-a cluster analysis

BACKGROUND

School-based physical activity interventions such as The Daily Mile (TDM) are widely promoted in children's physical activity guidance. However, targeting such interventions to areas of greatest need is challenging since determinants vary across geographical areas. Our study aimed to identify local authorities in England with the greatest need to increase children's physical activity and assess whether TDM reaches school populations in areas with the highest need.

METHODS

This was a cross-sectional study using routinely collected data from Public Health England. Datasets on health, census and the built environment were linked. We conducted a hierarchical cluster analysis to group local authorities by 'need' and estimated the association between 'need' and registration to TDM.

RESULTS

We identified three clusters of high, medium and low need for physical activity interventions in 123 local authorities. Schools in high-need areas were more likely to be registered with TDM (incidence rate ratio 1.25, 95% confidence interval: 1.12-1.39) compared with low-need areas.

CONCLUSIONS

Determinants of children's physical activity cluster geographically across local authorities in England. TDM appears to be an equitable intervention reaching schools in local authorities with the highest needs. Health policy should account for clustering of health determinants to match interventions with populations most in need.

Oral community health worker-led interventions in households with average levels of psychosocial factors

Introduction

Household-level psychosocial stress levels have been linked to child tooth brushing behaviors. Community health worker (CHW) interventions that target psychosocial factors in high-risk communities have been associated with changes in health behaviors.

Aim

Observe changes in psychosocial factors over time and an association between psychosocial factors and CHW intervention dose amongst urban Chicago families.

Patients and methods

Participants (N = 420 families) were recruited from 10 community clinics and 10 Women, Infants, or Children (WIC) centers in Cook County, Illinois to participate in a clinical trial. Research staff collected participant-reported psychosocial factors (family functioning and caregiver reports of depression, anxiety, support, and social functioning) and characteristics of CHW-led oral health intervention visits (number, content, child engagement) at 0, 6, and 12 months. CHWs recorded field observations after home visits on household environment, social circumstances, stressors, and supports.

Results

Participants across the cohort reported levels of psychosocial factors consistent with average levels for the general population for nearly all measures. Psychosocial factors did not vary over time. Social functioning was the only measure reported at low levels [32.0 (6.9); 32.1 (6.7); 32.7 (6.9); mean = 50 (standard deviation)] at 0, 6, and 12 months. We did not observe a meaningful difference in social functioning scores over time by exposure to CHW-led intervention visits (control arm, 0, 1, 2, 3, and 4 visits). Field observations made by CHWs described a range of psychosocial stress related to poverty, language barriers, and immigration status.

Conclusion

The unexpectedly average and unchanging psychosocial factors over time, in the context of field observations of stress related to poverty, lack of support, immigration status, and language barriers, suggests that our study did not adequately capture the social determinants of health related to oral health behaviors or that measurement biases precluded accurate assessment. Future studies will assess psychosocial factors using a variety of instruments in an attempt to better measure psychosocial factors including social support, depression, anxiety, functioning, trauma and resilience within our urban population. We will also look at neighborhood-level factors of community distress and resilience to better apply the social ecologic model to child oral health behaviors.

The relationships between resilience, care environment, and social-psychological factors in orphaned and separated adolescents in western Kenya

The relationships between care environment, resilience, and social factors in orphaned and separated adolescents and youths (OSAY) in western Kenya are complex and under-studied. This study examines these relationships through the analysis of survey responses from OSAY living in Charitable Children's Institutes (CCI) and family-based care settings (FBS) in Uasin Gishu County, Kenya. The associations between 1) care environment and resilience (measured using the 14-item Resilience Scale); 2) care environment and factors thought to promote resilience (e.g. social, family, and peer support); and 3) resilience and these same resilience-promoting factors, were examined using multivariable linear and logistic regressions. This cross-sectional study included 1202 OSAY (50.4% female) aged 10-26 (mean=16; SD=3.5). The mean resilience score in CCIs was 71 (95%CI=69-73) vs. 64 (95%CI=62-66) in FBS. OSAY in CCIs had higher resilience (β=7.67; 95%CI=5.26-10.09), social support (β=0.26; 95%CI=0.14-0.37), and peer support (β=0.90; 95%CI=0.64-1.17) than those in FBS. OSAY in CCIs were more likely to volunteer than those in FBS (OR=3.72; 95%CI=1.80-7.68), except in the male subgroup. Family (β=0.42; 95%CI=0.24-0.60), social (β=4.19; 95%CI=2.53-5.85), and peer (β=2.13; 95%CI=1.44-2.83) relationships were positively associated with resilience in all analyses. Volunteering was positively associated with resilience (β=5.85; 95%CI=1.51-10.19). The factor most strongly related to resilience in both fully adjusted models was peer support. This study found a strong relationship between care environment and resilience. Care environment and resilience each independently demonstrated strong relationships with peer support, social support, and participating in volunteer activities. Resilience also had a strong relationship with familial support. These data suggest that resilience can be developed through strategic supports to this vulnerable population.

Association of child maltreatment and bullying victimization among Chinese adolescents: The mediating role of family function, resilience, and anxiety

BACKGROUND

Among adolescents, child maltreatment is linked to being bullied at school. Nevertheless, little is known about the mediating mechanisms underlying this association. Therefore, our research aimed to explore and evaluate the potential mediators of the relationship between child maltreatment and bullying victimization among Chinese adolescents.

METHODS

From October to December 2020, a population-based cross-sectional survey was conducted among 6247 adolescents (3401 males, 2846 females) in Anhui Province, China. The subjects of the survey were elementary and middle school students from grades 4 to 9. The data were collected through self-report questionnaires. Pearson correlation and linear regression were used to examine the relationships among child maltreatment, bullying victimization, family function, resilience, and anxiety. Structural equation modeling (SEM) was employed to conduct mediation analyses.

RESULTS

The results indicated that child maltreatment positively predicted the later bullying victimization of adolescents. Resilience and anxiety were each shown to separately mediate this relationship. Moreover, the sequential mediating effects of family function, resilience, and anxiety also mediated the predictive effect of child maltreatment on bullying victimization.

CONCLUSIONS

Resilience and anxiety were both shown to be important independent mediators for the relationship between child maltreatment and bullying victimization. Furthermore, the combined mediating effects of family function, resilience, and anxiety were also of great significance. These findings provide additional evidence that family and individual factors are critical to understanding bullying victimization. Effective prevention and intervention strategies for school bullying should target family and individual vulnerabilities in adolescents.

Resilience and its correlates among medical students in the Eastern part of India during the coronavirus disease 2019 (COVID-19) pandemic

BACKGROUND

There is a great deal of psychological pressure on medical students, which results in depression, addiction, and suicide. Resilience plays a significant role in coping with psychological distress. The study aimed to determine the resilience level of medical students in Kolkata and factors related to it.

MATERIALS AND METHODS

A cross-sectional study was conducted among undergraduate students of a medical college in the eastern part of India during October 2020. Resilience was assessed using the validated "Adult Resilience Measure-R." Data were collected on Google Forms and analyzed using SPSS (version 16.0). Logistic regression analysis was performed to find factors associated with low resilience.

RESULTS

The study revealed that one-fourth (25.2%) of the participants had low-level resilience. Nearly half (44.9%) of them perceived their mental health status as having worsened during the lockdown. Students who did not enjoy staying at home during the lockdown and who spent <10 h of their time with their family members had higher odds of low resilience. In multivariable analysis, not enjoying staying at home during the lockdown remained the only significant predictor of low resilience.

CONCLUSION

Students should spend more time with their parents and family members and learn coping skills. Appropriate resilience training programs have to be integrated into the medical curriculum to help in coping with future challenges.

Multiple health risk behaviors and mental health from a life course perspective: The Dutch TRAILS study

We examined trajectories of multiple health risk behavior (MHRB) patterns throughout adolescence, and changes in mental health from childhood to young adulthood. Further, we assessed how continuity or onset of MHRBs overall were associated with subsequent changes in mental health, and whether this varied by type of MHRBs. We used six waves of the prospective Dutch TRAILS study (2001-2016; n = 2229), covering ages 11 until 23. We measured MHRBs (substance use: alcohol misuse, cannabis use, smoking; and obesity-related: overweight, physical inactivity, irregular breakfast intake) at three time points during adolescence. We assessed mental health as Youth/Adult Self-report total problems at ages 11 and 23. Latent class growth analyses and ANOVA were used to examine longitudinal trajectories and associations. We identified six developmental trajectories for the total of MHRBs and mental health. Trajectories varied regarding likelihood of MHRBs throughout adolescence, mental health at baseline, and changes in mental health problems in young adulthood. We found no associations for the continuity of overall MHRBs throughout adolescence, and neither for early, mid- or late onset, with changes in mental health problems in young adulthood. However, continuity of MHRBs in the obesity-related subgroup was significantly associated with an increase in mental health problems. Adolescents with the same MHRB patterns may, when reaching adulthood, have different levels of mental health problems, with mental health at age 11 being an important predictor. Further, involvement with obesity-related MHRBs continuously throughout adolescence is associated with increased mental health problems in young adulthood.

Illicit Drug Use Pattern, Health-Risk Behaviors, and Social Contexts Among Indonesian Students

Health-risk behaviors (smoking, alcohol consumption, and premarital sex) among Indonesian students are important issues. Understanding the association of these health-risk behaviors and adolescents’ social contexts (family, peers, and neighborhood characteristics) to illicit drug use is required to develop strategies in preventing illicit drug use in Indonesia. The study used a multi-stage cluster random sampling method to collect data from the 2016 National Narcotics Survey of Indonesian students. The sample included 31,439 students. The result shows that the illicit drug use pattern was different from previous studies: the most prevalent was at the senior high school level. Multiple logistic regression analyses showed that smoking, alcohol consumption, premarital sex, peers, sex, family, and neighborhood were associated with illicit drug use. The study highlighted the importance of health-risk behaviors, social contexts of adolescents, and the illicit drug use pattern as considering factors in developing strategies to reduce illicit drug use prevalence.

Association of stress and resilience with cardiometabolic health among American Indian and Alaska Native adults

Evidence suggests that perceived stress and psychological resilience are related to the presence and severity of cardiometabolic disease. Despite increased stress and cardiometabolic disease burden among American Indian and Alaska Native (AI/AN) people, the relationships between these factors are not well established in these populations. The objective of this study was to evaluate the relationships of stress with five cardiometabolic health indicators and to assess whether psychological resilience mediates these relationships in AI/AN adults. Four hundred and ninety-six AI/AN attendees were surveyed at three powwows. The questionnaire included sociodemographic items, questions on self-reported obesity, prediabetes, diabetes, high blood pressure, and high cholesterol, the Perceived Stress Scale, and the Brief Resilience Scale. Multivariable logistic regression models were used to measure associations of health indicators with Perceived Stress Scale and Brief Resilience Scale scores while controlling for sociodemographic characteristics. Among respondents, obesity was the most common cardiometabolic health indicator reported (48%), followed by high blood pressure, prediabetes, diabetes, and high cholesterol. Mean Perceived Stress Scale and Brief Resilience Scale scores were 16.1 (6.4 SD) and 3.5 (0.7 SD), respectively. Higher Perceived Stress Scale scores were associated with greater odds of self-reported prediabetes and diabetes. Brief Resilience Scale scores did not serve as a mediator. These results suggest that perceived stress is associated with some self-reported indicators of cardiometabolic health among AI/AN adults, but findings are limited by the convenience sample, reliance on self-report, and cross-sectional design. Future work should capitalize on nationally representative data, longitudinal designs, and objective measures of cardiometabolic health.

Clustering of health-related behaviours within children aged 11-16: a systematic review

OBJECTIVE

We aimed to systematically review and synthesise evidence on the clustering of a broad range of health-related behaviours amongst 11-16 year olds.

METHOD

A literature search was conducted in September 2019. Studies were included if they used cluster analysis, latent class analysis, prevalence odds ratios, principal component analysis or factor analysis, and considered at least three health-related behaviours of interest among 11-16 year olds in high-income countries. Health-related behaviours of interest were substance use (alcohol, cigarettes and other drug use) and other behavioural risk indicators (diet, physical activity, gambling and sexual activity).

RESULTS

The review identified 41 studies, which reported 198 clusters of health-related behaviours of interest. The behaviours of interest reported within clusters were used to define eight behavioural archetypes. Some included studies only explored substance use, while others considered substance use and/or other health-related behaviours. Consequently, three archetypes were comprised by clusters reporting substance use behaviours alone. The archetypes were: (1) Poly-Substance Users, (2) Single Substance Users, (3) Substance Abstainers, (4) Substance Users with No/Low Behavioural Risk Indicators, (5) Substance Abstainers with Behavioural Risk Indicators, (6) Complex Configurations, (7) Overall Unhealthy and (8) Overall Healthy.

CONCLUSION

Studies of youth health behavioural clustering typically find both a 'healthy' cluster and an 'unhealthy' cluster. Unhealthy clusters are often characterised by poly-substance use. Our approach to synthesising cluster analyses may offer a means of navigating the heterogeneity of method, measures and behaviours of interest in this literature.

Vitamin D levels are associated with trait resilience but not depression in a general population sample

INTRODUCTION

Insufficient vitamin D levels were found to be related to various psychiatric disorders and particularly depression. The functional polymorphisms rs4588 and rs7041 of the vitamin D-binding protein (also group-specific component or Gc) influence vitamin D level and activity. Resilience is considered the individual predisposition to maintain psychological functioning in the face of adversities. We sought to investigate whether associations of vitamin D levels and genotypes of rs4588 and rs7041 were associated with trait resilience and symptoms of depression.

METHODS

Serum levels of total 25(OH)D were measured in a general population sample (n = 1,908) of the Study of Health in Pomerania (SHIP-1). The Resilience Scale-25 (RS-25) was applied to assess trait resilience. Lifetime depressive symptoms were assessed using the CID-S, while current depressive symptoms were measured using the Beck Depression Inventory II (BDI-II). Study participants were genotyped for rs4588 and rs7041.

RESULTS

Participants with vitamin D insufficiency had lower adjusted mean RS-25 scores as compared to vitamin D replete subjects (p = .002). Linear regression analyses revealed a positive association between 25(OH)D and RS-25 scores (ß = 2.782, p = .002). Additional adjustment for BDI-II scores slightly attenuated this result (ß = 1.830 and p = .026). Symptoms of depression and the lifetime diagnosis of MDD were not significantly associated with vitamin D concentrations. rs4588 and rs7041 showed strong associations with vitamin D concentrations (both p < .001), but not RS-25 scores.

CONCLUSIONS

In contrast with previous studies, our findings do not provide evidence for a strong role of vitamin D in the psychopathology of depression. However, considering the role of trait resilience as a common protective factor to different psychiatric disorders, our results support the concept of low vitamin D as a general risk factor to stress-related psychopathologies.

Reliability and validity of the RS14 in orphaned and separated adolescents and youths in western Kenya

PURPOSE

The 14-item Resilience Scale (RS14) is a tool designed to measure psychological resilience. It has been used effectively in diverse populations. However, its applicability is largely unknown for Sub-Saharan adolescent populations and completely unknown for orphaned and separated adolescents and youths (OSAY), a highly vulnerable population for whom resilience may be critical. This study assesses the RS14's psychometric properties for OSAY in Uasin Gishu County, Kenya.

METHODS

Survey responses from a representative sample of 1016 OSAY (51.3% female) aged 10-25 (mean = 16; SD = 3.5) living in institutional and home-based environments in Uasin Gishu County were analyzed. The RS14's psychometric properties were assessed by examining internal consistency reliability, confirmatory factor analyses, and convergent validity using correlations between resilience and each of social support and depression. Sub-analyses were conducted by age and sex.

RESULTS

Resilience scores ranged from 14-98 (mean = 66; SD = 19) with no sex-based significant difference. Resilience was higher for those aged ≥18 (mean = 69; range = 14-98) versus age <18 (mean = 65; range = 14-98). Internal consistency was good (Cronbach's α = .90). Confirmatory factor analysis indicated a 1-factor solution, though the model fit was only moderate. Resilience was positively correlated with social support in all ages (.22; p < .001) and negatively correlated with depression in individuals age <18 (-.22; p < .001). The relationship between resilience and depression in individuals age ≥18 was statistically significant only in females (-.17; p = .026).

CONCLUSION

This study demonstrates reasonable evidence that the RS14 is both valid and reliable for measuring psychological resilience in the population of OSAY in western Kenya.

How are depression and suicidal ideation associated with multiple health risk behaviours among adolescents? A secondary data analysis using the 2016 Korea Youth Risk Behavior Web-based Survey

WHAT IS KNOWN ON THE SUBJECT?: Adolescents who partake in one health risk behaviour (HRB) easily adopt other HRBs, simultaneously or subsequently. Multiple HRBs might threaten adolescents' future health in adulthood. Adolescents with psychological problems have higher rates of smoking, alcohol use, early sexual initiation and activity, and illicit substance use compared with others. WHAT DOES THIS PAPER ADD TO EXISTING KNOWLEDGE?: A considerable number of Korean adolescents with mental health problems were engaged in multiple HRBs. For those with mental health problems, more than half of the Korean adolescents with multiple HRBs tended to use alcohol and cigarettes concurrently. Korean adolescents who felt depressed and had suicidal ideation were more likely to engage in a greater number of HRBs. Substance abuse is the most prevalent problem that is combined with other HRBs among those with depression and suicidal ideation compared to those who exhibited other HRBs. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: When mental health nurses working in schools and community centres for mental health identify Korean adolescents with significant depression and suicide ideation levels, they should also assess adolescents' engagement in multiple HRBs. Population-based campaigns and policy changes that emphasize both psychological health and risky behaviour reduction among adolescents should be provided simultaneously to students and school nurses. ABSTRACT: Introduction There is limited understanding about whether poor mental health is associated with certain combinations of multiple health risk behaviours (HRBs) such as smoking, drinking, early sexual activity and substance abuse. Aim To determine the prevalence of multiple HRBs and to identify associations between poor mental health and multiple HRBs as the number of HRBs increases. Methods This cross-sectional study was conducted using the 2016 Korea Youth Risk Behavior Web-based Survey (N = 65,528). Descriptive statistics and multinomial logistic regression analyses were conducted using the complex sample data. Results Overall, 28.6% and 13.9% of Korean adolescents were involved in one or multiple HRBs, respectively. Adolescents who were depressed (OR = 1.43-4.47, 95% CI = 1.37-1.49 to 3.23-6.20) and/or who had suicidal ideation (OR = 1.33-3.19, 95% CI = 1.25-1.42 to 2.25-4.51) were more likely to engage in multiple HRBs. Discussion A considerable numbers of Korean adolescents are engaged in multiple HRBs. When adolescents self-reported depression and suicidal ideation, they were more likely to engage in a greater number of HRBs than single HRB. Implications for practice Tailored interventions to decrease multiple HRBs should be designed and provided by considering adolescents' mental health status and needs.

Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents

PURPOSE

Risk behaviors are significantly impacting physical and psychological health among adolescents, resulting in a tremendous public health issue. The aim of this study is to examine the association of clustered risk behaviors with mental health and physical activity, and identify to what extent the clustering of various risk behaviors is associated with psychological health and physical activity in Chinese adolescents.

METHODS

Students aged 16-18 years, male 16.2 ± 1.03, female 16.3 ± 1.56, were recruited from 30 high schools to complete an online questionnaire in fall semester 2017. A structured questionnaire, 2017 state and local youth risk behavior survey was revised, modified, and translated into Chinese. Five questions were designed to assess physical activity times of the last 7 days. Symptom checklist 90 (SCL-90) was used to investigate the mental health status of the participants. Statistical analyses were done employing chi-square tests, two step cluster analysis, logistic regression.

RESULT

Results illustrate that girls report a significantly higher mean of being bullied in school, electronically bullied, feeling sad or hopeless, and trying cigarette smoking. Two-step cluster analysis and regression analysis find that alcohol use, smoking and sedentary behavior have significant effect on adolescent health. Logic regression demonstrated that risk behaviors have significantly associated with mental health and physical activity in specific cluster.

CONCLUSION

This study finds that a specific behavior cluster has significant impact on mental health and physical activity among adolescents. Integrating risk behaviors cluster with factors can be employed to target high-risk adolescents who have poor physical and psychosocial health. The research suggest that more effective and feasible school intervention programs can be designed to promote adolescent health-related behavior in terms of those pathways.

Clustering of Sedentary Behaviours, Physical Activity, and Energy-Dense Food Intake in Six-Year-Old Children: Associations with Family Socioeconomic Status

This study examined the clustering of lifestyle behaviours in children aged six years from a prospective cohort study in the Netherlands. Additionally, we analysed the associations between socioeconomic status and the lifestyle behaviour clusters that we identified. Data of 4059 children from the Generation R Study were analysed. Socioeconomic status was measured by maternal educational level and net household income. Lifestyle behaviours including screen time, physical activity, calorie-rich snack consumption and sugar-sweetened beverages consumption were measured via a parental questionnaire. Hierarchical and non-hierarchical cluster analyses were applied. The associations between socioeconomic status and lifestyle behaviour clusters were assessed using logistic regression models. Three lifestyle clusters were identified: “relatively healthy lifestyle” cluster (n = 1444), “high screen time and physically inactive” cluster (n = 1217), and “physically active, high snacks and sugary drinks” cluster (n = 1398). Children from high educated mothers or high-income households were more likely to be allocated to the “relatively healthy lifestyle” cluster, while children from low educated mothers or from low-income households were more likely to be allocated in the “high screen time and physically inactive” cluster. Intervention development and prevention strategies may use this information to further target programs promoting healthy behaviours of children and their families.

The association between role model presence and self-regulation in early adolescence: A cross-sectional study

PURPOSE

Self-regulation is the capacity to regulate attention, emotion, and behaviour to pursue long-term goals. The current study examined the associations between role model presence and self-regulation during early adolescence, controlling for hopefulness, using a large population-based data set from the Tokyo Teen Cohort study.

METHODS

Adolescents, aged 12 years, identified a role model using a single item on a paper questionnaire: 'Who is the person you most look up to?' Level of hopefulness was also assessed using a single question: 'To what extent do you feel hopeful about the future of your life?' Trained investigators evaluated self-regulation.

RESULTS

Of 2550 adolescents, 2279 (89.4%) identified a role model. After adjusting for level of hopefulness, identifying a role model was associated with higher levels of self-regulation in comparison to indications of no role model. Hopeful future expectations were also associated with higher self-regulation; however, the beta coefficient was smaller than role model presence in the multivariate linear regression analysis.

CONCLUSIONS

Role model presence was significantly associated with higher self-regulation among early adolescents. Educational environments should focus on support for adolescents with no role models.

Fruit and vegetable consumption and mental health across adolescence: evidence from a diverse urban British cohort study

BACKGROUND

Evidence on the relationship between fruit and vegetable consumption (FV) and mental health in adolescence is sparse and inconsistent. Social determinants of FV include ethnicity, family environments and economic disadvantage. We investigated the relationship between FV and mental health in the British multi-ethnic Determinants of Adolescents (now young Adult) Social well-being and Health (DASH) longitudinal study.

METHODS

A longitudinal study of 4683 adolescents living in London at age 11-13 years and followed up at 14-16 years. FV was measured using validated questions on the number of portions consumed daily. Mental health was measured by the Strengths and Difficulties Questionnaire as mean Total Difficulties Score (TDS) and by classification as a 'probable clinical case' (TDS > 17). Social measures included ethnicity, parenting and socioeconomic circumstances. Multilevel modelling was used to investigate the association between FV and mental health throughout adolescence.

RESULTS

Low FV was common among adolescents, with approximately 60-70% of adolescents reporting < 5 portions/day and 20-30% reporting < 1 portion/day. In late adolescence, most ethnic minority groups reported lower FV than their White peers. In fully adjusted models, < 1 portion/day remained a significant correlate with mean TDS (Coef: 0.55, 0.29-0.81, P < 0.001) and TDS > 17 (Odds Ratio: 1.43, 1.11-1.85, P = 0.007). Gender- or ethnic-specific effects were not observed. Low parental care partly attenuated the association between FV and mental health.

CONCLUSIONS

Low FV is a longitudinal correlate of poor mental health across adolescence. A focus on FV in parenting interventions could yield interrelated benefits across developmental outcomes given its importance to both physical and socioemotional health.

Simultaneous oral health risk behaviors among adolescents: evidence from the National School-based Student Health Survey

OBJECTIVE

To investigate the prevalence of simultaneous oral health risk behaviors and associated factors among Brazilian adolescents.

METHODS

The study comprised data of 109,104 adolescents participating in the Brazilian National School-based Student Health Survey. The simultaneous presence of less frequent toothbrushing (E), current smoking (C), no visits to the dentist (D), low fruit intake (F), and high sugar intake (A) was assessed by comparison of observed/expected prevalence (OP/EP). Logistic regression was used to assess sociodemographic and family factors associated with the clustering patterns of oral health risk behaviors.

RESULTS

The simultaneous occurrence of two or more oral health risk behaviors was of 60.40%. The highest prevalence values were found for the following patterns with OP/EP over 1.20: EDF, CFA, and EDFA. The odds for two or more combined oral health risk behaviors were higher for adolescents whose parents did not participate in homework, from public schools, males, and of Asian or Indigenous ethnicity (OR > 1.00; p < 0.05). Low family affluence level (FAL) acted as a risk factor for the pattern ECDFA (OR = 2.58; p = 0.009), while low and mean FAL functioned as protection factors for the pattern CFA (OR = 0.71; p < 0.001, and OR = 0.76; p = 0.011).

CONCLUSION

The prevalence of simultaneous oral health risk behaviors was low and negatively associated with sociodemographic and family factors. Interventions aiming at reducing these behavior patterns should prioritize the groups that have been identified as being at most risk.

Individual-, family-, and school-level interventions targeting multiple risk behaviours in young people

BACKGROUND

Engagement in multiple risk behaviours can have adverse consequences for health during childhood, during adolescence, and later in life, yet little is known about the impact of different types of interventions that target multiple risk behaviours in children and young people, or the differential impact of universal versus targeted approaches. Findings from systematic reviews have been mixed, and effects of these interventions have not been quantitatively estimated.

OBJECTIVES

To examine the effects of interventions implemented up to 18 years of age for the primary or secondary prevention of multiple risk behaviours among young people.

SEARCH METHODS

We searched 11 databases (Australian Education Index; British Education Index; Campbell Library; Cumulative Index to Nursing and Allied Health Literature (CINAHL); Cochrane Central Register of Controlled Trials (CENTRAL), in the Cochrane Library; Embase; Education Resource Information Center (ERIC); International Bibliography of the Social Sciences; MEDLINE; PsycINFO; and Sociological Abstracts) on three occasions (2012, 2015, and 14 November 2016)). We conducted handsearches of reference lists, contacted experts in the field, conducted citation searches, and searched websites of relevant organisations.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), including cluster RCTs, which aimed to address at least two risk behaviours. Participants were children and young people up to 18 years of age and/or parents, guardians, or carers, as long as the intervention aimed to address involvement in multiple risk behaviours among children and young people up to 18 years of age. However, studies could include outcome data on children > 18 years of age at the time of follow-up. Specifically,we included studies with outcomes collected from those eight to 25 years of age. Further, we included only studies with a combined intervention and follow-up period of six months or longer. We excluded interventions aimed at individuals with clinically diagnosed disorders along with clinical interventions. We categorised interventions according to whether they were conducted at the individual level; the family level; or the school level.

DATA COLLECTION AND ANALYSIS

We identified a total of 34,680 titles, screened 27,691 articles and assessed 424 full-text articles for eligibility. Two or more review authors independently assessed studies for inclusion in the review, extracted data, and assessed risk of bias.We pooled data in meta-analyses using a random-effects (DerSimonian and Laird) model in RevMan 5.3. For each outcome, we included subgroups related to study type (individual, family, or school level, and universal or targeted approach) and examined effectiveness at up to 12 months' follow-up and over the longer term (> 12 months). We assessed the quality and certainty of evidence using the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) approach.

MAIN RESULTS

We included in the review a total of 70 eligible studies, of which a substantial proportion were universal school-based studies (n = 28; 40%). Most studies were conducted in the USA (n = 55; 79%). On average, studies aimed to prevent four of the primary behaviours. Behaviours that were most frequently addressed included alcohol use (n = 55), drug use (n = 53), and/or antisocial behaviour (n = 53), followed by tobacco use (n = 42). No studies aimed to prevent self-harm or gambling alongside other behaviours.Evidence suggests that for multiple risk behaviours, universal school-based interventions were beneficial in relation to tobacco use (odds ratio (OR) 0.77, 95% confidence interval (CI) 0.60 to 0.97; n = 9 studies; 15,354 participants) and alcohol use (OR 0.72, 95% CI 0.56 to 0.92; n = 8 studies; 8751 participants; both moderate-quality evidence) compared to a comparator, and that such interventions may be effective in preventing illicit drug use (OR 0.74, 95% CI 0.55 to 1.00; n = 5 studies; 11,058 participants; low-quality evidence) and engagement in any antisocial behaviour (OR 0.81, 95% CI 0.66 to 0.98; n = 13 studies; 20,756 participants; very low-quality evidence) at up to 12 months' follow-up, although there was evidence of moderate to substantial heterogeneity (I² = 49% to 69%). Moderate-quality evidence also showed that multiple risk behaviour universal school-based interventions improved the odds of physical activity (OR 1.32, 95% CI 1.16 to 1.50; I² = 0%; n = 4 studies; 6441 participants). We considered observed effects to be of public health importance when applied at the population level. Evidence was less certain for the effects of such multiple risk behaviour interventions for cannabis use (OR 0.79, 95% CI 0.62 to 1.01; P = 0.06; n = 5 studies; 4140 participants; I² = 0%; moderate-quality evidence), sexual risk behaviours (OR 0.83, 95% CI 0.61 to 1.12; P = 0.22; n = 6 studies; 12,633 participants; I² = 77%; low-quality evidence), and unhealthy diet (OR 0.82, 95% CI 0.64 to 1.06; P = 0.13; n = 3 studies; 6441 participants; I² = 49%; moderate-quality evidence). It is important to note that some evidence supported the positive effects of universal school-level interventions on three or more risk behaviours.For most outcomes of individual- and family-level targeted and universal interventions, moderate- or low-quality evidence suggests little or no effect, although caution is warranted in interpretation because few of these studies were available for comparison (n ≤ 4 studies for each outcome).Seven studies reported adverse effects, which involved evidence suggestive of increased involvement in a risk behaviour among participants receiving the intervention compared to participants given control interventions.We judged the quality of evidence to be moderate or low for most outcomes, primarily owing to concerns around selection, performance, and detection bias and heterogeneity between studies.

AUTHORS' CONCLUSIONS

Available evidence is strongest for universal school-based interventions that target multiple- risk behaviours, demonstrating that they may be effective in preventing engagement in tobacco use, alcohol use, illicit drug use, and antisocial behaviour, and in improving physical activity among young people, but not in preventing other risk behaviours. Results of this review do not provide strong evidence of benefit for family- or individual-level interventions across the risk behaviours studied. However, poor reporting and concerns around the quality of evidence highlight the need for high-quality multiple- risk behaviour intervention studies to further strengthen the evidence base in this field.

Socio-Demographic, Health and Lifestyle Factors Influencing Age of Sexual Initiation among Adolescents

Behavioural and developmental factors mean that adolescents who initiate sexual intercourse early may be at an increased risk of adverse sexual health outcomes at the time of first sex and later in life. In an Irish context, there is insufficient knowledge about the specific correlates of early sexual initiation. This research explores relationships between contextual socio-demographic, health and lifestyle factors and the timing of first sexual intercourse among 15–17-year-olds in Ireland. Multiple regression analysis was carried out in conjunction with Multiple Imputation using data collected through the 2014 Health Behaviour in School-Aged Children Ireland study on a sample of 879 sexually active adolescents. The socio-demographic and lifestyle factors measured were a stronger predictor of age of sexual initiation among girls than boys. Risk behaviour initiation was significantly related to age of sexual initiation for adolescents, while alcohol use/drunkenness and unhealthy food consumption was significant among girls only. Family support and number of male friends were significant predictors for boys only. The study highlights the need for holistic approaches to sexual health promotion and provides a foundation for the development of alternative strategies and policies aimed at reducing negative health, well-being, educational and economic outcomes.

Which healthy lifestyle factors are associated with a lower risk of suicidal ideation among adolescents faced with cyberbullying?

Cyberbullying is associated with negative mental health outcomes including adolescent suicidal ideation. This requires effective and accessible preventive efforts. Healthy lifestyles are factors adolescents themselves can modify that may lower their risk of suicidal ideation. The aim of this study was to examine associations between physical activity, (outdoor) sport participation, a healthy diet, higher sleep duration and low levels of smoking and alcohol use, and suicidal ideation when faced with cyberbullying. A cross-sectional survey was administered in 2014-2015 to 1037 adolescents (12-18 years, M age = 15; 50% girls) in Flanders, Belgium. Logistic regression analyses were conducted to assess direct effects of cyberbullying involvement (victim, perpetrator, bystander) on suicidal ideation, and interaction effects between cyberbullying involvement, healthy lifestyles and suicidal ideation. Results showed that cyberbullying victimization, perpetration and bystanding were associated with higher suicidal ideation, but that the association with cyberbullying perpetration disappeared when corrected for other cyberbullying involvement forms. More physical activity, sleeping longer, more often taking a healthy diet and lower levels of smoking were associated with lower suicidal ideation. Some associations of healthy lifestyles with suicidal ideation disappeared at higher levels of cyberbullying involvement. Low alcohol consumption and (outdoor) sport participation were not associated with suicidal ideation, and sport participation was even associated with higher suicidal ideation at low levels of cyberbullying involvement. These findings suggest a novel approach to suicide prevention may be warranted, by strengthening healthy lifestyles as factors that adolescents themselves can modify to increase their resilience and reduce suicidal ideation.

Longitudinal study of adolescent tobacco use and tobacco control policies in India

BACKGROUND

This project will use a multilevel longitudinal cohort study design to assess whether changes in Community Tobacco Environmental (CTE) factors, measured as community compliance with tobacco control policies and community density of tobacco vendors and tobacco advertisements, are associated with adolescent tobacco use in urban India. India's tobacco control policies regulate secondhand smoke exposure, access to tobacco products and exposure to tobacco marketing. Research data about the association between community level compliance with tobacco control policies and youth tobacco use are largely unavailable, and are needed to inform policy enforcement, implementation and development.

METHODS

The geographic scope will include Mumbai and Kolkata, India. The study protocol calls for an annual comprehensive longitudinal population-based tobacco use risk and protective factors survey in a cohort of 1820 adolescents ages 12-14 years (and their parent) from baseline (Wave 1) to 36-month follow-up (Wave 4). Geographic Information Systems data collection will be used to map tobacco vendors, tobacco advertisements, availability of e-cigarettes, COTPA defined public places, and compliance with tobacco sale, point-of-sale and smoke-free laws. Finally, we will estimate the longitudinal associations between CTE factors and adolescent tobacco use, and assess whether the associations are moderated by family level factors, and mediated by individual level factors.

DISCUSSION

India experiences a high burden of disease and mortality from tobacco use. To address this burden, significant long-term prevention and control activities need to include the joint impact of policy, community and family factors on adolescent tobacco use onset. The findings from this study can be used to guide the development and implementation of future tobacco control policy designed to minimize adolescent tobacco use.

Variability in Weight Concern and Physical Activity Engagement Among African American Adolescent Girls

Lower rates of recreational physical activity (PA) among African American (AA) adolescent girls relative to other US age/race/gender groups are assumed to reflect within-race similarity in PA attitudes and practices. However, variability in PA attitudes and practices among AA adolescent girls is not well studied. To address this, a class-diverse sample of 51 AA adolescent girls' responses to survey items querying weight concern (WC) and PA was examined for sub-groupings using cluster analysis. Three clusters were identified [L/H-low WC, high PA; H/L-high WC, low PA; and L/L-low WC and PA]. Survey item response means were examined by cluster. L/L differed visibly, but not significantly, from L/H and H/L on items assessing PA engagement. The same was true for H/L with WC items. Cluster identification and trends in response differences by cluster have potential implications for targeted PA promotion efforts. Further investigation with larger, representative samples is warranted.

Multilevel Analysis of the Risk Factors in High-Risk Health Behavior among Korean Adolescents

Objectives

To examine health behaviors among Korean adolescents with a focus on both individual and school-based factors, specifically in relation to predictors of high-risk groups.

Methods

Secondary data analysis was conducted with data from the 8th Korea Youth Risk Behavior Web-Based Survey, using descriptive statistics, t tests, χ² test, and multilevel logistic regression analysis. Health Practice Index was calculated and a range of 0 to 2 was classified as a high-risk group.

Results

The results revealed that the individual-level variables of sex, age, stress, depression, subjective health status, school performance, health education, father’s level of education, and living situation were significant predictors of high-risk behaviors. The risk was greater in girls, greater with higher age and higher stress scores, greater in adolescents with depression, greater with lower paternal educational level, and greater in adolescents who did not live with both parents, as were the school-level variables of school grade and school affluence score. The possibility of being in the high-risk group in health behavior was greater if a student attended a school where the Family Affluence Score (FAS) was lower.

Conclusion

School health education should be expanded to manage students’ high-risk health behaviors, especially in schools that have many students from families with a low affluence status.

Family, Peer, and School Influences on Children's Developing Health Lifestyles

Health lifestyles are important for health and social identity, yet little is known about their development in early life. We use data from the Early Childhood Longitudinal Study-Kindergarten Cohort of 1998-99 (ECLS-K; N = 8,786) to track children's health lifestyles and assess a theoretical model of health lifestyle development. Latent class analyses identify health lifestyles at four time points from first to eighth grade, and multivariate models investigate their interrelationships and social contextual influences. Health lifestyles are multidimensional and dynamic, and children demonstrate distinct combinations of risks and protections. Family factors, such as resources and parenting, shape earlier health lifestyles, which influence later lifestyles. Results show that development and contexts drive changes in health lifestyles, as family factors decrease in influence with age while some school and peer influences appear to emerge. Policy makers and researchers interested in shaping health behaviors should consider the multidimensional and dynamic nature of health lifestyles.

Fruits and vegetables intake and its subgroups are related to depression: a cross-sectional study from a developing country

BACKGROUND

The association of fruits and vegetables (FV) specific subgroups consumption and depression has not been investigated in healthy adult populations. Therefore, the aim of our study was to determine the relationship between intake of FV as well as their subgroups and depression.

METHODS

This cross-sectional study was conducted on 400 women attending healthcare centers. The scores of depression, anxiety, and stress were measured using the 21-item depression, anxiety and stress scales questionnaire. The participants' anthropometric and physical activity data were collected and the 147-item semi-quantitative FFQ was used for estimating the FV intake.

RESULTS

After adjustment for confounding variables, the participants in the lower quartiles of total FV, total vegetables, total fruits, citrus, other fruits and green leafy vegetables intake were more likely to experience depression compared to those in the higher quartiles (p trend < 0.03).

CONCLUSION

Our findings suggest that higher intake of total FV and some of its specific subgroups might be associated with depression.

Health Lifestyles in Adolescence and Self-rated Health into Adulthood

Do health behaviors cluster together as health lifestyles in adolescence? Are these lifestyles socially patterned? Do these lifestyles impact physical health into adulthood? To answer these questions, we employed data from Waves 1 and 4 of the National Longitudinal Study of Adolescent to Adult Health ( n = 7,827). Our latent class analysis revealed four health lifestyles: (a) low risk, (b) moderate risk with substance use, (c) moderate risk with inactivity, and (d) high risk. As suggested by health lifestyle theory, membership in these classes varied according to gender, race-ethnicity, and family structure. Consistent with the life course perspective, regression analyses indicated that those in the high-risk lifestyle tend to exhibit worse health in adolescence and adulthood than those in the low-risk lifestyle. Our findings confirm that socially patterned lifestyles can be observed in adolescence, and these lifestyles are potentially important for understanding the distribution of physical health across the early life course.

Identification of factors associated with resilience in medical students through a cross-sectional census

OBJECTIVES

Research on resilience has been gaining momentum, and it has already been shown that increased resilience creates positive changes at the individual and collective levels. Understanding of the factors associated with resilience may guide specific actions directed towards different populations. The objective of this study was to investigate these associated factors within a population of medical students.

DESIGN

Cross-sectional census.

SETTING

A public medical school in the state of Rio de Janeiro, Brazil.

PARTICIPANTS

Out of a total of 551 medical students, five students were excluded due to inactive registrations, and four transferred students were also excluded, resulting in a total of 542 remaining participants.

MEASURES

Adopting an anonymous questionnaire that included the Resilience Scale, in addition to questions related to sociodemographic, behavioural health-related and academic variables, the association between these variables and resilience was investigated.

RESULTS

The high rate of answers to each item constitutes a indication of students' interest in participating, whereas the lowest percentile was 97.1%. The mean resilience score obtained was considered moderate. Factors such as gender, race, previous schools attended, financial independence, living situation, parents' education level, religion, quota-based admission, smoking, alcohol abuse and use of illegal drugs were not associated with resilience. In a multivariate analysis using ordinal logistic regression, associations were maintained only between the highest resilience score and the non-use of habit-forming prescription drugs (OR: 0.58; 95% CI 0.41 to 0.80), having a better perception of one's own health (OR: 0.57; 95% CI 0.41 to 0.81) and being older (OR: 1.37; 95% CI 1.12 to 1.67).

CONCLUSION

The census performed with the medical students showed, with the multivariate analysis, that besides age, the variables most closely tied with resilience were health and medicalisation, and the variables connected with income and religion showed no association.

Validation of the child and youth resilience measure among South African adolescents

Resilience is a dynamic, interactive process between resources that contribute to safeguarding a person and the adversities they experience. Within this promotional framework of resilience, this study sought to validate the Child and Youth Resilience Measure (CYRM-28) among a sample of South African adolescents (N = 1854). Confirmatory factor analysis supported a superior level of fit for a 24-item, three-factor model (i.e., individual/social, familial, and community/spiritual). Internal consistency and test-retest reliability estimates at a 12-month interval (N = 648) supported the reliability of the scales. Higher scores on the scales were associated with feeling more connected at school, greater parental monitoring perceptions, and lower sexual risk, confirming the convergent and criterion validity of the instrument. Partial discriminative power was evidenced based on selected scale distinctions according to age and sex groupings. Collectively, the findings suggest the 24-item CYRM is a valid and reliable self-report measure to assess the availability of resources associated with resilience in South African youth.

Mediterranean-type diet is associated with higher psychological resilience in a general adult population: findings from the Moli-sani study

BACKGROUND/OBJECTIVE

Psychological resilience is a measure of stress coping ability and has been associated with favourable health outcomes. While evidence on the relationship of dietary habits with a number of psychosocial conditions is available, there is lack of studies on their association with psychological resilience in a general adult population.

SUBJECTS/METHODS

Cross-sectional analysis on 10 812 subjects recruited within the cohort of the Moli-sani study (2005-2010). Psychological resilience was measured by the 25-item Connor-Davidson Psychological Resilience Scale. Food intake was recorded by the EPIC food frequency questionnaire and adherence to Mediterranean diet was appraised by both a Greek Mediterranean diet score and an Italian Mediterranean Index. Empirically derived dietary patterns were obtained by principal factor analysis. Multivariable linear regression analysis (95%CI) was used to test the association between dietary scores and psychological resilience.

RESULTS

Higher adherence to Mediterranean-type diets or consumption of a vegetable-based dietary pattern (obtained from principal factor analysis) were positively associated with psychological resilience (β=0.43; 95%CI: 0.19-0.66, β=0.92; 0.69-1.16, and β=1.18; 0.93-1.44, for Greek Mediterranean diet score, Italian Mediterranean Index and the 'Olive oil and vegetables pattern', respectively). Dietary polyphenol or antioxidant intakes and greater variety in fruit and vegetable consumption were also positively associated with psychological resilience, while the associations with Western-like diets were weak.

CONCLUSIONS

In conclusion, Mediterranean diet, vegetable-based dietary patterns and better diet quality were all positively associated with higher psychological resilience, whereas Western-type diets were not.

Understanding the Relationship of Cigarette Smoking Trajectories Through Adolescence and Weight Status in Young Adulthood in the United States

PURPOSE

Adolescent cigarette smoking has steadily declined since 1999, whereas adolescent obesity rates have quadrupled since the 1980s. Few studies address the longitudinal relationship of smoking and weight in youth and young adulthood. This study examines the relationship of smoking trajectories beginning in adolescence on weight status in young adulthood in a nationally representative longitudinal sample.

METHODS

The study sample was drawn from the National Longitudinal Study of Adolescent to Adult Health Waves I-IV (N = 13,361). Four trajectories were generated through repeated-measures latent class analyses using current cigarette smoking status in Waves I-IV and age of initiation: nonsmokers (44%), early establishers (23%), late establishers (21%), and former smokers (12%). Wave IV weight status included self-reported body mass index (BMI) and measured waist circumference. Bivariate analyses addressed associations between smoking trajectory and BMI at each wave. Multivariate linear regression models tested the relationship of smoking trajectory and weight status at Wave IV.

RESULTS

In bivariate analyses, early and late establishers had a significantly lower BMI at Wave III and all smoking trajectories had a significantly lower BMI at Wave IV versus nonsmokers. All smoking trajectories had a significantly lower BMI than nonsmokers (early establishers: β = -1.27, confidence interval [CI]: -1.56 to -.98]; late establishers: β = -.84, CI: -1.16 to -.52; and former smokers: β = -.63, CI: -.93 to -.34; p < .05) in an adjusted multivariable regression model.

CONCLUSIONS

This study reveals that weight status increased over time for all trajectories; thus smoking does not mitigate obesity risk. These results have implications for both research and interventions to help youth and young adults avoid both smoking and obesity.

Effectiveness of Positive Youth Development Interventions: A Meta-Analysis of Randomized Controlled Trials

Positive youth development is thought to be essential to the prevention of adolescent risk behavior and the promotion of thriving. This meta-analysis examined the effects of positive youth development interventions in promoting positive outcomes and reducing risk behavior. Ten databases and grey literature were scanned using a predefined search strategy. We included studies that focused on young people aged 10-19 years, implemented a positive youth development intervention, were outside school hours, and utilized a randomized controlled design. Twenty-four studies, involving 23,258 participants, met the inclusion criteria and were included in the analysis. The impact of the interventions on outcomes including behavioral problems, sexual risk behavior, academic achievement, prosocial behavior and psychological adjustment were assessed. Positive youth development interventions had a small but significant effect on academic achievement and psychological adjustment. No significant effects were found for sexual risk behaviors, problem behavior or positive social behaviors. Intervention effects were independent of program characteristics and participant age. Low-risk young people derived more benefit from positive youth development interventions than high-risk youth. The studies examined had several methodological flaws, which weakened the ability to draw conclusions. Substantial progress has been made in the theoretical understanding of youth development in the past two decades. This progress needs to be matched in the intervention literature, through the use of high-quality evaluation research of positive youth development programs.

Binge drinking and associated factors among adolescents in a city in southeastern Brazil: a longitudinal study

Abstract: The aim of this study was to investigate changes in the frequency of binge drinking and associated factors in the city of Belo Horizonte, Minas Gerais State, Brazil. The sample consisted of 436 adolescents. Data collection involved the Alcohol Use Disorders Identification Test and the Alcohol, Smoking and Substance Involvement Screening Test. Ordinal logistic regression was used in the multivariate analysis. An increase in the frequency of binge drinking was found among adolescents who lived in areas of greater social vulnerability (OR = 1.64; 95%CI: 1.01-2.68), those whose mothers consumed alcoholic beverages (OR = 1.75; 95%CI: 1.05-2.92), those whose fathers consumed alcoholic beverages (OR = 2.02; 95%CI: 1.11-3.68), those with an increased risk of tobacco use (OR = 2.82; 95%CI: 1.07-7.42) and those who attended religious services (OR = 2.10; 95%CI: 1.30-3.38). Knowledge regarding factors associated with a change in the frequency of binge drinking among adolescents can assist in the establishment of public policies directed at health promotion and the prevention of adverse health conditions.

Effectiveness of Positive Youth Development Interventions: A Meta-Analysis of Randomized Controlled Trials

Positive youth development is thought to be essential to the prevention of adolescent risk behavior and the promotion of thriving. This meta-analysis examined the effects of positive youth development interventions in promoting positive outcomes and reducing risk behavior. Ten databases and grey literature were scanned using a predefined search strategy. We included studies that focused on young people aged 10-19 years, implemented a positive youth development intervention, were outside school hours, and utilized a randomized controlled design. Twenty-four studies, involving 23,258 participants, met the inclusion criteria and were included in the analysis. The impact of the interventions on outcomes including behavioral problems, sexual risk behavior, academic achievement, prosocial behavior and psychological adjustment were assessed. Positive youth development interventions had a small but significant effect on academic achievement and psychological adjustment. No significant effects were found for sexual risk behaviors, problem behavior or positive social behaviors. Intervention effects were independent of program characteristics and participant age. Low-risk young people derived more benefit from positive youth development interventions than high-risk youth. The studies examined had several methodological flaws, which weakened the ability to draw conclusions. Substantial progress has been made in the theoretical understanding of youth development in the past two decades. This progress needs to be matched in the intervention literature, through the use of high-quality evaluation research of positive youth development programs.

Multiple risk behaviors for non-communicable diseases and associated factors in adolescents

Objective: To estimate the prevalence of risk behaviors for non-communicable diseases and analyze their associated factors in adolescents. Methods: A school-based cross-sectional study was conducted in 2008 with 1,139 adolescents aged 14 to 19 years attending public and private high schools in Cuiabá, Midwestern Brazil. Data were collected using a selfadministered questionnaire, including a semiquantitative Food Frequency Questionnaire. The prevalence of tobacco smoking, alcohol experimentation, physical inactivity, unsatisfactory meal pattern, and excessive intake of saturated fat and sodium were evaluated. The associations between risk behaviors and socioeconomic variables, weight status, and self-perceived health status were evaluated. Results: The most common risk behaviors were excessive sodium intake (88%), unsatisfactory meal pattern (72%), excessive intake of saturated fat (39%), and alcohol experimentation (39%). Four of 10 adolescents were exposed to two risk behaviors simultaneously. Among male adolescents, the main factors associated with risk behaviors were: type of school, class schedule, education level of the household head, weight status, and self-perceived health status. Among female adolescents, age, type of school, class schedule, and education level of the household head were the main factors associated with risk behaviors. Conclusion: The prevalence of exposure to risk behaviors for non-communicable diseases was high, highlighting the simultaneous presence of tobacco smoking and experimentation of alcoholic beverages. Special attention should be given to educational activities to minimize the effects of the simultaneous occurrence of multiple risk behaviors.

Clustering of Risk Behaviors and their Social Determinants among Primary School Learners in Beijing, China: A Cross-sectional Study

Background:

Studies in developed countries reveal that poor lifestyle choices triggering diseases typically cluster among children. However, there is insufficient evidence on the clustering of risk behaviors among children in developing countries. This study aimed to determine the clustering of risk behaviors and their social determinants among 4^th-and 5^th -grade learners in Beijing, China.

Methods:

The sample comprised of 967 learners from six primary schools enrolled migrant and resident learners by two-stage stratified cluster sampling. Prevalence denoted the risk behaviors and their clustering. A log-linear model was used to explore the clustering patterns. Ordinal logistic regression determined the influence of demographic characteristics, school environment, and family context on behavioral clustering.

Results:

The prevalence of none, one, two, and three or more risk factors was 61.2%, 20.0%, 10.8%, and 8.1% for infectious diseases and 46.0%, 30.6%, 15.4%, and 8.0% for chronic diseases, respectively. Some behaviors appeared dependent and were more likely to be observed together. The three most influential factors for infectious diseases were school type (odds ratio [OR] =4.47, 95% confidence interval [CI] 3.00–6.66), school located in an inner suburb (OR = 0.27, 95% CI 0.18–0.38), and gender (OR = 0.56, 95% CI 0.42–0.74). Regarding risk behaviors for chronic diseases, clustering was not associated with household registration status and number of appliances, but was significantly associated with school type (OR = 5.36, 95% CI 3.72–7.73), school located in an inner suburb (OR = 0.59, 95% CI 0.43–0.81), and gender (OR = 0.61, 95% CI 0.47–0.78). School environment variables were the most significant contributor to the number of risk behaviors.

Conclusions:

The characteristics of schools enrolling migrants and residents influenced the number of risk behaviors. Therefore, improved school conditions and integrated behavioral interventions are particularly recommended for health promotion.

Longitudinal patterns and predictors of multiple health risk behaviors among adolescents: The TRAILS study

BACKGROUND

Most studies on multiple health risk behaviors among adolescents have cross-sectionally studied a limited number of health behaviors or determinants.

PURPOSE

To examine the prevalence, longitudinal patterns and predictors of individual and multiple health risk behaviors among adolescents.

METHODS

Eight health risk behaviors (no regular consumption of fruit, vegetables or breakfast, overweight or obesity, physical inactivity, smoking, alcohol use and cannabis use) were assessed in a prospective population study (second and third wave). Participants were assessed in three waves between ages 10 and 17 (2001-2008; n=2230). Multiple linear regression was used to assess the influence of gender, self-control, parental health risk behaviors, parental monitoring and socioeconomic factors on the number of health risk behaviors adjusted for preceding multiple health risk behaviors (analysis: 2013-2014).

RESULTS

Rates of >5 health risk behaviors were high: 3.6% at age 13.5 and 10.2% at age 16. Smoking at age 13.5 was frequently associated with health risk behaviors at age 16. No regular consumption of fruit, vegetables and breakfast, overweight or obesity, physical inactivity and smoking predicted the co-occurrence of health risk behaviors at follow-up. Significant predictors of the development of multiple health risk behaviors were adolescents' levels of self-control, socioeconomic status and maternal smoking.

CONCLUSIONS

Multiple health risk behaviors are common among adolescents. Individual and social factors predict changes in multiple health risk behaviors, showing that prevention targeting multiple risk behaviors is needed. Special attention should be paid to adolescents with low self-control and families with low socioeconomic status or a mother who smokes.

Behavior matters: the relevance, impact, and reach of behavioral medicine

BACKGROUND/PURPOSE

Growing evidence suggests behavioral interventions that target a few key behaviors may be effective at improving population-level health outcomes; health status indicators; social, economic, and physical environments; personal capacity; and biological outcomes. A theoretical framework that targets both social and cognitive mechanisms of behavioral interventions is outlined as critical for understanding "ripple effects" of behavioral interventions on influencing a broad range of outcomes associated with improved health and well-being.

METHODS/RESULTS

Evidence from randomized controlled trials is reviewed and demonstrates support for ripple effects-the effects that behavioral interventions have on multiple outcomes beyond the intended primary target of the interventions. These outcomes include physical, psychological, and social health domains across the lifespan.

CONCLUSIONS

Cascading effects of behavioral interventions have important implications for policy that argue for a broader conceptualization of health that integrates physical, mental, and social well-being outcomes into future research to show the greater return on investment.

Accumulation of psychosocial and lifestyle factors and risk of low back pain in adolescence: a cohort study

PURPOSE

Low back pain (LBP) is common already in adolescence, and many risk indicators including both psychosocial and lifestyle factors have been recognized. Our purpose was to assess whether the co-occurrence of psychosocial (externalizing and internalizing) problems and lifestyle factors (leisure time physical activity, sedentary behaviour, sleep, smoking, and overweight/obesity) associate with LBP at 16 years cross-sectionally or with new LBP at 18-year follow-up.

METHODS

The study population, drawn from the Northern Finland Birth Cohort 1986, consisted of 1625 participants (712 boys and 913 girls) who completed a questionnaire on potential explanatory factors at 16 years and on LBP at 16 and 18 years. The outcome measure was 'reporting LBP' or 'consultation for LBP' during the past 6 months. Latent Class Analysis (LCA) was utilized to study the co-occurrence of the explanatory factors.

RESULTS

Among both genders, four clusters were found. Externalizing behaviour problems were associated with 'reporting LBP' (RR 1.5, boys 1.4, girls) and 'consultation for LBP' (RR 1.6 for both genders) at baseline among both genders. In addition, the cluster of multiple risk behaviours was associated with both 'reporting LBP' (RR 1.3) and 'consultation for LBP' (RR 2.5) and the obese cluster with 'consultation for LBP' (RR 1.7) among girls. Externalizing behaviour problems at 16 years predicted 'consultation for LBP' at 18 years among girls (RR 3.6).

CONCLUSIONS

Our results stress the role of psychosocial factors in reporting and seeking care for adolescent LBP.

Prenatal substance exposure: What predicts behavioral resilience by early adolescence?

Understanding behavioral resilience among at-risk adolescents may guide public policy decisions and future programs. We examined factors predicting behavioral resilience following intrauterine substance exposure in a prospective longitudinal birth-cohort study of 136 early adolescents (ages 12.4-15.9 years) at risk for poor behavioral outcomes. We defined behavioral resilience as a composite measure of lack of early substance use initiation (before age 14), lack of risky sexual behavior, or lack of delinquency. Intrauterine substance exposures included in this analysis were cocaine, tobacco, alcohol, and marijuana. We recruited participants from Boston Medical Center as mother-infant dyads between 1990 and 1993. The majority of the sample was African American/Caribbean (88%) and 49% female. In bivariate analyses, none and lower intrauterine cocaine exposure level predicted resilience compared with higher cocaine exposure, but this effect was not found in an adjusted model. Instead, strict caregiver supervision (adjusted odds ratio [AOR] = 6.02, 95% confidence interval (CI) [1.90, 19.00], p = .002), lower violence exposure (AOR = 4.07, 95% CI [1.77, 9.38], p < .001), and absence of intrauterine tobacco exposure (AOR = 3.71, 95% CI [1.28, 10.74], p = .02) predicted behavioral resilience. In conclusion, caregiver supervision in early adolescence, lower violence exposure in childhood, and lack of intrauterine tobacco exposure predicted behavioral resilience among a cohort of early adolescents with significant social and environmental risk. Future interventions should work to enhance parental supervision as a way to mitigate the effects of adversity on high-risk groups of adolescents. (PsycINFO Database Record