Weight Status Continuity and Change From Adolescence to Young Adulthood: Examining Disease and Health Risk Conditions

This study examined weight status during adolescence and young adulthood, and young adult health condition diagnosis. Data are from 10,439 African‐American, Hispanic, and white men and women participating in the National Longitudinal Study of Adolescent Health during Waves 1 (adolescence: ages 12–19) and 3 (young adulthood: ages 19–26). Categories were created differentiating individuals based on their weight status during adolescence and young adulthood: (i) obese during adolescence and young adulthood (i.e., continuously obese), (ii) obese during adolescence only, (iii) obese during young adulthood only, and (iv) never obese. Multilevel random intercept regression models were used to examine the impact of obesity category, sex, and race/ethnicity on young adult asthma, diabetes, high cholesterol, and high blood pressure. Continuous obesity increased the likelihood for young adult disease and health risk conditions compared to individuals who were never obese. Obesity isolated to adolescence (Wave 1) increased the likelihood for high cholesterol and high blood pressure, whereas obesity isolated to young adulthood (Wave 3) also increased the likelihood for diabetes—all increases were relative to nonobese weight status during both periods. Associations varied in direction and degree when sex and race/ethnicity were considered. Findings clarify some of the mixed understandings regarding the associations between age of onset and stability of obesity, and health outcomes with important public health implications. Although results indicate obesity isolated to a single developmental period does have health repercussions, obesity experienced continuously during adolescence and young adulthood greatly intensified risk across all health conditions.     

Association between Adolescents' Physical Activity and Sedentary Behaviors with Change in BMI and Risk of Type 2 Diabetes

This study aims at identifying the association between physical activity (PA) and sedentary behavior (SB) patterns during adolescents on the future increase in BMI and risk of diabetes during young adulthood. A total of 3,717 participants aged 11 to 21 at baseline who completed Waves I (1994–1995), II (1996), III (2001–2002), and IV (2008) surveys of the National Longitudinal Study of Adolescent Health (Add Health) were analyzed. Physical activity and sedentary behavior patterns were assessed using an interviewer-administered questionnaire at Waves I, II, and III. A participant was classified as having diabetes at Wave IV according to WHO guidelines. The k-means cluster analysis was used to identify the number of PA and SB patterns assessed using interviewer-administered questionnaire. The k-means cluster analysis identified three clusters; 575 (15.5%), 2,140 (57.6%), and 1,002 (27.0%) participants belonged to the low PA high SB (LPAHSB), the LPALSB, and the HPALSB cluster respectively. Relative to the LPALSB cluster, the HPALSB cluster had lower increase in BMI from Wave III to Wave IV (P = 0.03), whereas the difference between LPAHSB cluster and LPALSB cluster was not significant (P = 0.09). The odds of developing diabetes at Wave IV was significant for the LPAHSB cluster (OR = 1.69, 95% CI = 1.04, 2.75) but not significant for the HPALSB cluster (OR = 0.87, 95% CI = 0.52, 1.47) relative to the LPALSB cluster. To conclude, PA but not SB during adolescence predicted change in BMI during young adulthood. SB but not PA during adolescence predicted type 2 diabetes during young adulthood.     

Tobacco Use and Suicide Attempt: Longitudinal Analysis with Retrospective Reports

Background

Suicide has been associated with smoking/tobacco use but its association of and change in smoking/tobacco use status with suicide attempt (SA) is not well established.

Methods

We investigated whether persistent, former tobacco use, initiation, quitting tobacco use, relapse to tobacco use, and DSM-IV nicotine dependence predict independently SA using Wave 1 and 2 data of the National Epidemiologic Survey of Alcohol and Related Conditions. Data from 34,653 US adults interviewed at Wave 1 (2001-02) and Wave 2 (2004-05) were analyzed. The main outcome measure was SA between Wave 1 and Wave 2 as reported at Wave 2.

Results

Among the 1,673 respondents reporting lifetime SA at Wave 2, 328 individuals reported SA between Wave 1 and Wave 2. Current and former tobacco use at Wave 1 predicted Wave 2 SA independently of socio-demographic characteristics, psychiatric history, and prior SA (Adjusted Odds Ratio (AOR): 1.49; 95% CI: 1.13-1.95, AOR: 1.31; 95% CI:1.01-1.69, respectively versus never tobacco users). The strongest association with SA was observed among former tobacco users who relapsed after Wave 1 (AOR: 4.66; 95% CI: 3.49-6.24) and among tobacco use initiators after Wave 1 (AOR: 3.16; 95% CI: 2.23-4.49). Persistent tobacco use (current tobacco use at both Wave 1 and Wave 2) also had an increased risk of SA (AOR: 1.89; 95% CI: 1.47-2.42). However, former tobacco users in both Waves 1 and 2 did not show a significantly elevated risk for SA in Wave 2 (AOR:1.09, 95% CI: 0.78-1.52) suggesting that the risk resided mainly in Wave 1 former tobacco users who relapsed to tobacco use by Wave 2. DSM-IV nicotine dependence did not predict SA at Wave 2.

Conclusion

In a representative sample of US adults, relapse, tobacco use initiation, and persistent tobacco use, which are amenable to intervention, were associated with risk of SA.     

Race and gender differences in the association of dieting and gains in BMI among young adults

Objective: To assess the relationship between dieting and subsequent weight change and whether the association varies by gender or race/ethnicity. Research Methods and Procedures: Male (n = 4100) and female (n = 4302) participants in the National Longitudinal Study of Adolescent Health who provided information on weight and height at baseline and two follow‐up assessments and were not missing information on weight control strategies or race were studied. Generalized estimating equations were used to assess whether dieting to lose or maintain weight at Wave I or II predicted BMI (kg/m²) change between adolescence and young adulthood (Wave II to III). Analyses were stratified by gender and took sampling weights and clustering into account. Results: At Wave I, the mean age of the participants was 14.9 years. Approximately 29.3% of female participants and 9.8% of male participants reported dieting in Wave I or II. Fewer African Americans than whites (6.2% vs. 10.0% and 25.5% vs. 31.2%, p = 0.007 and p = 0.02, among males and females, respectively) reported dieting. Between Waves II and III, participants gained on average 3.3 kg/m². Independent of BMI gain during adolescence (Waves I to II), female participants who dieted to lose or maintain weight during adolescence made larger gains in BMI during the 5 years between Waves II and III (mean additional gain, 0.39 kg/m²; 95% confidence interval, 0.08 to 0.71) than their nondieting peers. The association was not significant among the male participants. The association was largest among African‐American female participants. Discussion: The results suggest that not only is dieting to lose weight ineffective, it is actually associated with greater weight gain, particularly among female adolescents. Female African‐American dieters made the largest BMI gains.     

Unintended Pregnancies among Young Women Living in Urban Slums: Evidence from a Prospective Study in Nairobi City,Kenya

Background

Despite the significant proportion of young people residing in slum communities, little attention has been paid to the sexual and reproductive health (SRH) challenges they face during their transition to adulthood within this harsh environment. Little is known about the extent to which living in extreme environments, like slums, impact SRH outcomes, especially during this key developmental period. This paper aims to fill this research gap by examining the levels of and factors associated with unintended pregnancies among young women aged 15–22 in two informal settlements in Nairobi, Kenya.

Methods

We use data from two waves of a 3-year prospective survey that collected information from adolescents living in the two slums in 2007–2010. In total, 849 young women aged 15–22 were considered for analysis. We employed Cox and logistic regression models to investigate factors associated with timing of pregnancy experience and unintended pregnancy among adolescents who were sexually active by Wave 1 or Wave 2.

Findings

About two thirds of sexually experienced young women (69%) have ever been pregnant by Wave 2. For 41% of adolescents, the pregnancies were unintended, with 26% being mistimed and 15% unwanted. Multivariate analysis shows a significant association between a set of factors including age at first sex, schooling status, living arrangements and timing of pregnancy experience. In addition, marital status, schooling status, age at first sex and living arrangements are the only factors that are significantly associated with unintended pregnancy among the young women.

Conclusions

Overall, this study underscores the importance of looking at reproductive outcomes of early sexual initiation, the serious health risks early fertility entail, especially among out-of school girls, and sexual activity in general among young women living in slum settlements. This provides greater impetus for addressing reproductive behaviors among young women living in resource-poor settings such as slums.     

Alcohol-Related Risk of Suicidal Ideation,Suicide Attempt,and Completed Suicide: A Meta-Analysis

BackgroundSeveral original studies have investigated the effect of alcohol use disorder (AUD) on suicidal thought and behavior, but there are serious discrepancies across the studies. Thus, a systematic assessment of the association between AUD and suicide is required.MethodsWe searched PubMed, Web of Science, and Scopus until February 2015. We also searched the Psycinfo web site and journals and contacted authors. We included observational (cohort, case-control, and cross-sectional) studies addressing the association between AUD and suicide. The exposure of interest was AUD. The primary outcomes were suicidal ideation, suicide attempt, and completed suicide. We assessed heterogeneity using Q-test and I² statistic. We explored publication bias using the Egger''s and Begg''s tests and funnel plot. We meta-analyzed the data with the random-effects models. For each outcome we calculated the overall odds ratio (OR) or risk ratio (RR) with 95% confidence intervals (CI).ResultsWe included 31 out of 8548 retrieved studies, with 420,732 participants. There was a significant association between AUD and suicidal ideation (OR=1.86; 95% CI: 1.38, 2.35), suicide attempt (OR=3.13; 95% CI: 2.45, 3.81); and completed suicide (OR=2.59; 95% CI: 1.95, 3.23 and RR=1.74; 95% CI: 1.26, 2.21). There was a significant heterogeneity among the studies, but little concern to the presence of publication bias.ConclusionsThere is sufficient evidence that AUD significantly increases the risk of suicidal ideation, suicide attempt, and completed suicide. Therefore, AUD can be considered an important predictor of suicide and a great source of premature death.     

The effect of minority status and social context on the development of depression and anxiety: a longitudinal study of Puerto Rican descent youth

Few longitudinal studies have explored to date whether minority status in disadvantaged neighborhoods conveys risk for negative mental health outcomes, and the mechanisms possibly leading to such risk. We investigated how minority status influences four developmental mental health outcomes in an ethnically homogeneous sample of Puerto Rican youth. We tested models of risk for major depressive disorder (MDD) and generalized anxiety disorder (GAD), depressive and anxiety symptoms (DAS), and psychological distress, as Puerto Rican youth (aged 5‐13 years) transitioned to early adulthood (15‐29 years) in two sites, one where they grew up as a majority (the island of Puerto Rico), and another where they were part of a minority group (South Bronx, New York). At baseline, a stratified sample of 2,491 Puerto Rican youth participated from the two sites. After baseline assessment (Wave 1), each youth participant and one caregiver were assessed annually for two years, for a total of three time points (Waves 1‐3). From April 2013 to August 2017, participants were contacted for a Wave 4 interview, and a total of 2,004 young people aged 15 to 29 years participated in the assessment (response rate adjusted for eligibility = 82.8%). Using a quasi‐experimental design, we assessed impacts of minority status on MDD, GAD, DAS and psychological distress. Via mediation analyses, we explored potential mechanisms underlying the observed relationships. Data from 1,863 Puerto Rican youth (after exclusion of those with MDD or GAD during Waves 1‐3) indicated links between minority status and higher rates of lifetime and past‐year GAD, DAS and past 30‐day psychological distress at Wave 4, and a marginal trend for MDD, even after adjustments. Childhood social support and peer relationships partially explained the differences, as did intercultural conflict, neighborhood discrimination, and unfair treatment in young adulthood. The experience of growing up as a minority, as defined by context, seemingly elevates psychiatric risks, with differences in social relationships and increased social stress as mediators of this relationship. Our findings suggest that interventions at the neighborhood context rather than at the individual level might be important levers to reduce risks for the development of mood disorders in minority youth.     

Factors associated with suicide after parasuicide in young people.

OBJECTIVE--To determine factors associated with completed suicide in young parasuicide patients. DESIGN--Case-control study. SETTING--Regional poisoning treatment centre in a teaching general hospital. SUBJECTS--Patients who, between 1968 and 1985 when aged 15-24 years, were admitted to the regional poisoning treatment centre because of deliberate self poisoning or self injury. Cases (n = 62) consisted of those who by the end of 1985 had died locally from either suicide (n = 41) or possible suicide (n = 21). Controls (n = 124) were patients who were known not to have died locally during the study period. Two controls were selected for each case, matched by sex, age (within two years), and length of follow up. MAIN OUTCOME MEASURES--Possible predictors of completed suicide. RESULTS--Univariate analysis (conditional logistic regression) showed that risk of death due to suicide and possible suicide was associated with six factors: social class V (odds ratio 2.7, 95% confidence interval 1.1 to 6.7), unemployment (2.8, 1.4 to 5.8), previous inpatient psychiatric treatment (4.9, 2.2 to 10.9), substance misuse (3.3, 1.6 to 6.8), personality disorder (2.1, 1.03 to 4.4), and previous attempted suicide (2.3, 1.2 to 4.4). Multivariate analysis identified two factors as significantly contributing to the model that best discriminated between the cases and controls: substance misuse (alcohol or drugs, or both) (adjusted odds ratio 3.9) and previous inpatient psychiatric treatment (3.7). These factors seemed to be associated with suicide after attempted suicide in both the short term (less than 12 months) and the long term (one year or more) and were also identified when the analysis was restricted to subjects who definitely died by suicide and their controls. CONCLUSIONS--Suicide after parasuicide in young people is associated with substance misuse. This suggests that prevention of suicide in young people who attempt suicide might be improved by close liaison between general hospital services for patients who have attempted suicide and services for young substance misusers and by measures aimed at preventing substance misuse in young people.     

Single-Item Measurement of Suicidal Behaviors: Validity and Consequences of Misclassification

Suicide is a leading cause of death worldwide. Although research has made strides in better defining suicidal behaviors, there has been less focus on accurate measurement. Currently, the widespread use of self-report, single-item questions to assess suicide ideation, plans and attempts may contribute to measurement problems and misclassification. We examined the validity of single-item measurement and the potential for statistical errors. Over 1,500 participants completed an online survey containing single-item questions regarding a history of suicidal behaviors, followed by questions with more precise language, multiple response options and narrative responses to examine the validity of single-item questions. We also conducted simulations to test whether common statistical tests are robust against the degree of misclassification produced by the use of single-items. We found that 11.3% of participants that endorsed a single-item suicide attempt measure engaged in behavior that would not meet the standard definition of a suicide attempt. Similarly, 8.8% of those who endorsed a single-item measure of suicide ideation endorsed thoughts that would not meet standard definitions of suicide ideation. Statistical simulations revealed that this level of misclassification substantially decreases statistical power and increases the likelihood of false conclusions from statistical tests. Providing a wider range of response options for each item reduced the misclassification rate by approximately half. Overall, the use of single-item, self-report questions to assess the presence of suicidal behaviors leads to misclassification, increasing the likelihood of statistical decision errors. Improving the measurement of suicidal behaviors is critical to increase understanding and prevention of suicide.     

The effect of a therapeutic smartphone application on suicidal ideation in young adults: Findings from a randomized controlled trial in Australia

BackgroundSuicidal ideation is a major risk for a suicide attempt in younger people, such that reducing severity of ideation is an important target for suicide prevention. Smartphone applications present a new opportunity for managing ideation in young adults; however, confirmatory evidence for efficacy from randomized trials is lacking. The objective of this study was to assess whether a therapeutic smartphone application (“LifeBuoy”) was superior to an attention-matched control application at reducing the severity of suicidal ideation.Methods and findingsIn this 2-arm parallel, double-blind, randomized controlled trial, 455 young adults from Australia experiencing recent suicidal ideation and aged 18 to 25 years were randomly assigned in a 2:2 ratio to use a smartphone application for 6 weeks in May 2020, with the final follow-up in October 2020. The primary outcome was change in suicidal ideation symptom severity scores from baseline (T0) to postintervention (T1) and 3-month postintervention follow-up (T2), measured using the Suicidal Ideation Attributes Scale (SIDAS). Secondary outcomes were symptom changes in depression (Patient Health Questionnaire-9, PHQ-9), generalized anxiety (Generalized Anxiety Disorder-7, GAD-7), distress (Distress Questionnaire-5, DQ5), and well-being (Short Warwick–Edinburgh Mental Well-Being Scale, SWEMWBS). This trial was conducted online, using a targeted social media recruitment strategy. The intervention groups were provided with a self-guided smartphone application based on dialectical behavior therapy (DBT; “LifeBuoy”) to improve emotion regulation and distress tolerance. The control group were provided a smartphone application that looked like LifeBuoy (“LifeBuoy-C”), but delivered general (nontherapeutic) information on a range of health and lifestyle topics. Among 228 participants randomized to LifeBuoy, 110 did not complete the final survey; among 227 participants randomized to the control condition, 91 did not complete the final survey. All randomized participants were included in the intent-to-treat analysis for the primary and secondary outcomes. There was a significant time × condition effect for suicidal ideation scores in favor of LifeBuoy at T1 (p < 0.001, d = 0.45) and T2 (p = 0.007, d = 0.34). There were no superior intervention effects for LifeBuoy on any secondary mental health outcomes from baseline to T1 or T2 [p-values: 0.069 to 0.896]. No serious adverse events (suicide attempts requiring medical care) were reported.The main limitations of the study are the lack of sample size calculations supporting the study to be powered to detect changes in secondary outcomes and a high attrition rate at T2, which may lead efficacy to be overestimated.ConclusionsLifeBuoy was associated with superior improvements in suicidal ideation severity, but not secondary mental health outcomes, compared to the control application, LifeBuoy-C. Digital therapeutics may need to be purposefully designed to target a specific health outcome to have efficacy.Trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12619001671156

In a randomized controlled trial, Michelle Torok, Jin Han, and colleagues study the effectiveness of the LifeBuoy therapeutic smartphone application for reducing suicidal ideation in young adults in Australia.     

Follicular dynamics during the ovulatory season in goats

Growth and regression of ovarian follicles>or=3 mm were studied by transrectal ultrasonography for 4 interovulatory intervals in each of 5 Saanen goats. The observed number of growing identified 4-mm follicles per day differed (P<0.05) from randomness, indicating that follicles, on the average, emerged in groups (waves). Averaged over all interovulatory intervals, the number of 3-mm follicles on each day that later reached >or=6 mm followed a pattern of significant peaks on Days 0 (ovulation), 4,8 and 14. A follicular wave was defined by consecutive days of entry of follicles>or=6 mm into the wave, and the day of emergence was defined as the first day that the >or=6 mm follicles were 3 mm. In 15 of 20 (75%) interovulatory intervals, 1 wave emerged during each of Day -2 to Day 1 (Wave 1); Days 2 to 5 (Wave 2); Days 6 to 9 (Wave 3); and Days 10 to 15 (Wave 4). Ovulation occurred during Wave 4. The mean days of emergence of Waves 1 to 4 were Days -1, 4, 8 and 13, respectively. However, in 5 of these 15 interovulatory intervals, 50% of the apparent waves merged or were continuous so that a distinction could not be made between 2 waves. The largest follicle grew to a larger (P<0.05) maximum diameter for Waves 1 (8.7+/-0.3 mm) and 4 (9.7+/-0.3 mm) than for Waves 2 (7.2+/-0.2 mm) and 3 (7.3+/-0.2 mm). The following observations suggested that the phenomenon of follicular dominance was more common during Waves 1 and 4 than during Waves 2 and 3: 1) the interwave intervals (days) were longer (P<0.05) for Waves 1 (3.4+/-0.2) and 4 (4.3+/-0.6) than for Waves 2 and 3 (2.5+/-0.2 for each wave) and 2) the correlation between maximum diameter of largest follicle and the subsequent interwave interval was significant for Waves 1 and 4 but not for Waves 2 and 3. The 5 remaining interovulatory intervals were irregular and involved more than 4 waves, including 2 interovulatory intervals with prolonged follicular phases (14 and 21) and failures of ovulation. In conclusion, the predominant follicular-wave pattern was 4 waves with ovulation from Wave 4, and apparent follicular dominance was expressed during some follicular waves, especially during Waves 1 and 4.     

Suicide Ideation of Individuals in Online Social Networks

Suicide explains the largest number of death tolls among Japanese adolescents in their twenties and thirties. Suicide is also a major cause of death for adolescents in many other countries. Although social isolation has been implicated to influence the tendency to suicidal behavior, the impact of social isolation on suicide in the context of explicit social networks of individuals is scarcely explored. To address this question, we examined a large data set obtained from a social networking service dominant in Japan. The social network is composed of a set of friendship ties between pairs of users created by mutual endorsement. We carried out the logistic regression to identify users’ characteristics, both related and unrelated to social networks, which contribute to suicide ideation. We defined suicide ideation of a user as the membership to at least one active user-defined community related to suicide. We found that the number of communities to which a user belongs to, the intransitivity (i.e., paucity of triangles including the user), and the fraction of suicidal neighbors in the social network, contributed the most to suicide ideation in this order. Other characteristics including the age and gender contributed little to suicide ideation. We also found qualitatively the same results for depressive symptoms.     

Mental Health and Substance Use among Bisexual Youth and Non-Youth in Ontario,Canada

Research has shown that bisexuals have poorer health outcomes than heterosexuals, gays, or lesbians, particularly with regard to mental health and substance use. However, research on bisexuals is often hampered by issues in defining bisexuality, small sample sizes, and by the failure to address age differences between bisexuals and other groups or age gradients in mental health. The Risk & Resilience Survey of Bisexual Mental Health collected data on 405 bisexuals from Ontario, Canada, using respondent-driven sampling, a network-based sampling method for hidden populations. The weighted prevalence of severe depression (PHQ-9≥20) was 4.7%, possible anxiety disorder (OASIS≥8) was 30.9%, possible post-traumatic stress disorder (PCL-C≥50) was 10.8%, and past year suicide attempt was 1.9%. With respect to substance use, the weighted prevalence of problem drinking (AUDIT≥5) was 31.2%, and the weighted prevalence of illicit polydrug use was 30.5%. Daily smoking was low in this sample, with a weighted prevalence of 7.9%. Youth (aged 16–24) reported significantly higher weighted mean scores on depression and post-traumatic stress disorder, and higher rates of past year suicidal ideation (29.7% vs. 15.2%) compared with those aged 25 and older. The burden of mental health and substance use among bisexuals in Ontario is high relative to population-based studies of other sexual orientation groups. Bisexual youth appear to be at risk for poor mental health. Additional research is needed to understand if and how minority stress explains this burden.     

The human fetal auditory evoked potential

The brain-stem auditory evoked potential (BAEP), a sensitive test of the functional status of the neonatal brain, has not been studied in utero since no practical technique for human fetal recording is available. We have developed a simple recording technique which allows continuous monitoring of the fetal AEP during labor. Waves I, III and V of the fetal brain-stem AEP have been consistently identified. Wave form morphology, interpeak latencies, and latency-intensity relations are similar to postnatal recordings. Middle latency potentials have also been recorded, with wave forms that correspond to the neonatal middle latency AEP.     

Suicidality among sexual minority and transgender adolescents: a nationally representative population-based study of youth in Canada

Background:Very little research has described risk of suicidal ideation and suicide attempt among transgender youth using high-quality, nationally representative data. We aimed to assess risk of suicidality among transgender and sexual minority adolescents in Canada.Methods:We analyzed a subsample of adolescents aged 15–17 years from the 2019 Canadian Health Survey on Children and Youth, a nationally representative, cross-sectional survey. We defined participants’ transgender identity (self-reported gender different from sex assigned at birth) and sexual minority status (self-reported attraction to people of the same gender) as exposures, and their self-reported previous-year suicidal ideation and lifetime suicide attempt as outcomes.Results:We included 6800 adolescents aged 15–17 years, including 1130 (16.5%) who indicated some degree of same-gender attraction, 265 (4.3%) who were unsure of their attraction and 50 (0.6%) who reported a transgender identity. Compared with cisgender, heterosexual adolescents, transgender adolescents showed 5 times the risk of suicidal ideation (95% confidence interval [CI] 3.63 to 6.75; 58% v. 10%) and 7.6 times the risk of suicide attempt (95% CI 4.76 to 12.10; 40% v. 5%). Among cisgender adolescents, girls attracted to girls had 3.6 times the risk of previous-year suicidal ideation (95% CI 2.59 to 5.08) and 3.3 times the risk of having ever attempted suicide (95% CI 1.81 to 6.06), compared with their heterosexual peers. Adolescents attracted to multiple genders had 2.5 times the risk of suicidal ideation (95% CI 2.12 to 2.98) and 2.8 times the risk of suicide attempt (95% CI 2.18 to 3.68). Youth questioning their sexual orientation had twice the risk of having attempted suicide in their lifetime (95% CI 1.23 to 3.36).Interpretation:We observed that transgender and sexual minority adolescents were at increased risk of suicidal ideation and attempt compared with their cisgender and heterosexual peers. These findings highlight the need for inclusive prevention approaches to address suicidality among Canada’s diverse youth population.

Suicide is the second leading cause of death among adolescents and young adults aged 15–24 years in Canada.^1,2 Suicidal ideation and suicide attempt are common among adolescents³ and are risk factors for death by suicide.⁴ Sexual minority youth (i.e., youth who are attracted to the same gender or multiple genders, or who identify as lesbian, gay, bisexual or queer)⁵ are known to be at increased risk of poor mental health,^6–8 including suicidal ideation and attempt.^5–10 Over the previous 2 decades, stigma around identifying as a sexual minority has reduced;⁷ however, the risk of poor mental health and of suicidality remains high among sexual minority youth.^7,11 This population is still more likely to experience bullying and peer victimization,^9,12,13 which is associated with suicidality among sexual minority adolescents.⁵Transgender youth are those whose gender identity does not match their sex assigned at birth.¹⁴ Among other terms, gender-nonconforming, nonbinary, genderqueer and genderfluid are used to describe the gender identity of a subset of young people who identify outside the gender binary (i.e., as neither male nor female) or who experience fluidity between genders.⁹ Suicidality among transgender and gender-nonconforming adolescents is not as well studied. In a Canadian survey of transgender and gender-nonconforming youth aged 14–25 years, 64% of participants reported that they had seriously considered suicide in the previous 12 months.¹⁵ Transgender and gender-nonconforming youth seem to have a higher probability of many risk factors for suicidality, including peer victimization,^8,16 family dysfunction^7,17 and barriers to accessing mental health care.¹⁸ However, the epidemiology of suicidality among transgender and gender-nonconforming youth remains understudied in population-based samples; most research on the mental health of transgender youth comes from small community samples of help-seeking youth or targeted surveys of transgender adolescents.^5,19,20 Two population-based studies from California²¹ and New Zealand²² suggested that transgender youth are at increased risk of suicidal ideation and suicide attempt. However, only the New Zealand study²² used the gold-standard measure of gender identity, contrasting adolescents’ sex assigned at birth with their self-identified gender.²³Further epidemiological research employing large, representative samples and adequate measures of gender identity is needed to understand the burden of suicidality among lesbian, gay, bisexual, transgender and queer youth. We sought to build on existing evidence to assess risk of suicidal ideation and attempt among transgender and sexual minority adolescents in Canada, as compared with their cisgender and heterosexual peers, as well as to explore the relation between suicidality and experience of bullying.     

Cross-National Analysis of the Associations among Mental Disorders and Suicidal Behavior: Findings from the WHO World Mental Health Surveys

Background

Suicide is a leading cause of death worldwide. Mental disorders are among the strongest predictors of suicide; however, little is known about which disorders are uniquely predictive of suicidal behavior, the extent to which disorders predict suicide attempts beyond their association with suicidal thoughts, and whether these associations are similar across developed and developing countries. This study was designed to test each of these questions with a focus on nonfatal suicide attempts.

Methods and Findings

Data on the lifetime presence and age-of-onset of Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) mental disorders and nonfatal suicidal behaviors were collected via structured face-to-face interviews with 108,664 respondents from 21 countries participating in the WHO World Mental Health Surveys. The results show that each lifetime disorder examined significantly predicts the subsequent first onset of suicide attempt (odds ratios [ORs] = 2.9–8.9). After controlling for comorbidity, these associations decreased substantially (ORs = 1.5–5.6) but remained significant in most cases. Overall, mental disorders were equally predictive in developed and developing countries, with a key difference being that the strongest predictors of suicide attempts in developed countries were mood disorders, whereas in developing countries impulse-control, substance use, and post-traumatic stress disorders were most predictive. Disaggregation of the associations between mental disorders and nonfatal suicide attempts showed that these associations are largely due to disorders predicting the onset of suicidal thoughts rather than predicting progression from thoughts to attempts. In the few instances where mental disorders predicted the transition from suicidal thoughts to attempts, the significant disorders are characterized by anxiety and poor impulse-control. The limitations of this study include the use of retrospective self-reports of lifetime occurrence and age-of-onset of mental disorders and suicidal behaviors, as well as the narrow focus on mental disorders as predictors of nonfatal suicidal behaviors, each of which must be addressed in future studies.

Conclusions

This study found that a wide range of mental disorders increased the odds of experiencing suicide ideation. However, after controlling for psychiatric comorbidity, only disorders characterized by anxiety and poor impulse-control predict which people with suicide ideation act on such thoughts. These findings provide a more fine-grained understanding of the associations between mental disorders and subsequent suicidal behavior than previously available and indicate that mental disorders predict suicidal behaviors similarly in both developed and developing countries. Future research is needed to delineate the mechanisms through which people come to think about suicide and subsequently progress from ideation to attempts. Please see later in the article for Editors'' Summary     

The Relationship of Weight‐Related Attitudes With Suicidal Behaviors in Korean Adolescents

The objective of this study was to assess the relationship between weight‐related attitudes and suicidal behavior after consideration of depressive mood in Korean adolescents. The study population consisted of a nationally representative sample of 74,698 adolescents (n = 39,466 boys, 35,232 girls) in middle and high school who completed the Korea Youth Risk Behavior Web‐based Survey (KYRBWS) in 2007. Logistic regression models were used to examine the relationships between measures of weight‐related and self‐reported suicidal behavior, controlling for demographics, depressive mood, stress perception, level of school achievement, and substance use. Suicide attempts were surveyed among those reported to have suicidal ideation (n = 7,579 boys, 10,204 girls). Significantly more girls than boys reported suicidal ideation (29 vs. 19%) and suicide attempts (7.7 vs. 4.5%). Factors significantly associated with suicidal ideation were overestimation of weight (vs. correct estimation) and behaviors to lose or gain weight (vs. no weight control) among boys and overestimation of weight and attempting to lose weight among girls. In contrast, the odds of suicide attempts were significantly higher among boys who tried to lose, gain, or maintain their weight (vs. no weight control) and girls who underestimated their weight (vs. correct estimation) and tried to lose weight (vs. no weight control). Boys and girls classified as overweight or at risk for overweight were significantly less likely to report suicide attempts compared to those classified as underweight. Weight‐related attitudes, such as incorrect weight perception and weight control behaviors, seem to be useful indicators for identifying Korean adolescents who are at risk for suicidal behaviors.     

War and Bereavement: Consequences for Mental and Physical Distress

Background

Little is known about the long-term impact of the killing of a parent in childhood or adolescence during war on distress and disability in young adulthood. This study assessed current prevalence rates of mental disorders and levels of dysfunction among young adults who had lost their father due to war-related violence in childhood or adolescence.

Methods

179 bereaved young adults and 175 non-bereaved young adults were interviewed a decade after experiencing the war in Kosovo. Prevalence rates of Major Depressive Episode (MDE), anxiety, and substance use disorders, and current suicide risk were assessed using the Mini–International Neuropsychiatric Interview. The syndrome of Prolonged Grief Disorder (PGD) was assessed with the Prolonged Grief Disorder Interview (PG-13). Somatic symptoms were measured with the Patient Health Questionnaire. General health distress was assessed with the General Health Questionnaire.

Findings

Bereaved participants were significantly more likely to suffer from either MDE or any anxiety disorder than non-bereaved participants (58.7% vs. 40%). Among bereaved participants, 39.7% met criteria for Post-Traumatic Stress Disorder, 34.6% for PGD, and 22.3% for MDE. Bereaved participants with PGD were more likely to suffer from MDE, any anxiety disorder, or current suicide risk than bereaved participants without PGD. Furthermore, these participants reported significantly greater physical distress than bereaved participants without PGD.

Conclusion

War-related loss during middle childhood and adolescence presents significant risk for adverse mental health and dysfunction in young adulthood in addition to exposure to other war-related traumatic events. Furthermore, the syndrome of PGD can help to identify those with the greatest degree of distress and dysfunction.     

The validity of self-reported weight change among adolescents and young adults

Objective: To assess the association of weight change based on serial self‐reported vs. measured weights. Research Methods and Procedures: Two thousand two hundred eighty‐four male and 2476 female participants in the National Longitudinal Study of Adolescent Health who provided information on weight at Waves II and III and were at least 16 years of age were studied. Linear regression was used to assess predictors of the discrepancy between weight change based on self‐reported vs. measured weights. Logistic regression was used to identify predictors of self‐report correctly classifying participants in terms of weight change category. Results: Self‐reported weight was slightly lower than measured weight at Waves II and III, but weight change based on self‐reported weights underestimated true weight change by only 2.1 (female participants) to 2.8 (male participants) pounds. Overweight and obese female participants were consistent in their under‐reporting of their weight more than their leaner peers; thus, the discrepancy between weight change from Wave II to Wave III based on serial self‐reports vs. measured weights was significantly smaller among the obese female vs. healthy‐weight female participants (0.3‐ vs. 2.3‐pound underestimation, p < 0.05). Among the male participants, the same pattern was evident. African‐American ethnicity, Hispanic ethnicity, the level of physical activity, the hours per week watching television, and weight change efforts were not related to the discrepancy between weight change based on self‐reported vs. measured weights. Discussion: The discrepancy between weight change based on self‐report vs. measured weights was minor and not related to race, weight change efforts, activity, or inactivity, thus suggesting that much of the error is random.