Emergency health services use and medically-treated suicidal behaviors following depression screening among adolescents: A longitudinal cohort study.

The primary goal of depression screening is to reduce adverse psychiatric outcomes, which may have downstream implications for reducing avoidable health services use. The objective of this study was to examine the association of depression screening with emergency health services use and medically-treated suicidal behaviors among adolescents in the U.S. This longitudinal cohort study used insurance claims data from 57,732 adolescents who had at least one well-visit between 2014 and 2017. Propensity score matching was used to compare adolescents who were screened for depression to similar adolescents who were not screened for depression during the well-visit. Outcomes were examined over two-year follow-up and included emergency department use and inpatient hospitalizations for depression-related reasons, mental health-related reasons, and any reason as well as medically-treated suicidal behaviors. Log-binomial regression models were used to examine associations between depression screening and each outcome in the matched sample. Heterogeneity of associations by sex was examined with interaction terms. Being screened for depression was not consistently associated with emergency department use (depression-related reasons: RR = 1.00, 95% CI = 0.76-1.30; mental health-related reasons: RR = 1.02, 95% CI = 0.80-1.29; any reason: RR = 0.96, 95% CI = 0.83-1.11), inpatient hospitalizations (depression-related reasons: RR = 1.05, 95% CI = 0.84-1.31; mental health-related reasons: RR = 1.16, 95% CI = 1.00-1.33; any reason: RR = 1.05, 95% CI = 0.99-1.12), or medically-treated suicidal behaviors (RR = 0.83, 95% CI = 0.51-1.36). Associations were similar in magnitude among male and female adolescents. The results of this study suggest that depression screening, as it is currently practiced in the U.S., may not deter avoidable health services use among adolescents.

Burden of mental distress in the United States is associated with delayed medical visits and missed prescription refills during the COVID-19 pandemic.

The COVID-19 pandemic has contributed to poor health due to a decrease in healthcare utilization and those with mental health problems may be impacted. For this analysis, data came from a cross-sectional, nationally representative December 2020 survey. Logistic regression analyses examined associations between (1) mental distress and delayed medical visits, (2) mental distress and missed prescription refills, controlling for sociodemographics, pre-existing chronic conditions, and access to health insurance. We found that, compared to those that exhibited normal levels of mental distress, those with mild (aOR = 2.83, 95% CI = 2.47-3.24), moderate (aOR = 3.43, 95% CI = 2.95-3.99), and severe (aOR = 4.96, 95% CI = 4.21-5.84) mental distress showed greater odds of delaying medical visits. Similarly, compared to those that exhibited normal levels of mental distress, those with mild (aOR =3.93, 95% CI = 3.04-5.09), moderate (aOR =6.52, 95% CI = 5.07-8.43), and severe (aOR =8.69, 95% CI = 6.71-11.32) mental distress showed greater odds of missing prescription refills. Our study shows that individuals who showed signs of mental distress had increased odds of delayed medical visits and missed prescription refills, compared to those that showed normal levels of mental distress.

Burden of mental distress in the US associated with trust in media for COVID-19 information.

During the COVID-19 pandemic, news and social media outlets have played a major role in dissemination of information. This analysis aimed to study the association between trust in social and traditional media and experiences of mental distress among a representative sample of US adults. Data for this study came from National Pandemic Pulse, a cross-sectional, nationally representative survey that sampled participants on the Dynata platform. Participants included 6435 adults surveyed between 15-23 December 2020. Ordinal logistic regression analyses examined the associations of trust in (i) social media, (ii) print media, (iii) broadcast TV and (iv) cable TV, for COVID-19-related information with self-reported mental distress (4-item Patient Health Questionnaire), controlling for sociodemographics and census region. Compared with those who distrusted social media, those who trusted social media had 2.09 times (95% CI = 1.84-2.37) greater adjusted odds of being in a more severe category of mental distress. In contrast, compared with those who distrusted print media, those who trusted print media had 0.80 times (95% CI = 0.69-0.93) lower adjusted odds of being in a more severe category of mental distress. No significant associations were found between mental distress and trust in broadcast or cable TV for accessing news about COVID-19. Trust in different news outlets may be associated with mental distress during public health emergencies like the COVID-19 pandemic. Future studies should explore mechanisms behind these associations, including adherence to best practices for crisis reporting among different media sources and exposure of individuals to misinformation.

During the COVID-19 pandemic, both, traditional channels like print, TV and cable news, as well as social media, have been major sources to obtain news about the pandemic. In this manuscript, we study the association between trust in social and traditional media and symptoms of mental distress among a nationally representative sample of 6435 US adults surveyed in December 2020. Our findings show that those who reported trusting traditional print media were less likely to report more severe mental distress. Conversely, those who reported trusting social media were more likely to report more severe levels of mental distress. This highlights the urgent need for understanding the diffusion patterns of misinformation and rumors that circulate on social media, and consumers' reactions to them. It is important that during a public health emergency, we follow best practices for crisis communication to reduce panic, address uncertainty, promote protective behaviors and mental health.

Factors associated with county-level mental health during the COVID-19 pandemic.

The objective of this study is to determine county-level factors associated with anxiety, depression, and isolation during the coronavirus disease 2019 (COVID-19) pandemic. This study used daily data from 23,592,355 respondents of a nationwide Facebook-based survey from April 2020 to July 2021, aggregated to the week-county level to yield 212,581 observations. Mental distress prevalences were modeled using weighted linear mixed-effects models with a county random effect. These models revealed that weekly percentages of mental distress were higher in counties with higher unemployment rates, populations, and education levels; higher percentages of females, young adults, individuals with a medical condition, and individuals very worried about their finances and COVID-19; and lower percentages of individuals who were working outside the home, living with children, without health insurance, and Black. Anxiety peaked in April 2020, depression in October 2020, and isolation in December 2020. Therefore, United States counties experienced the mental health effects of the pandemic differently dependent upon their characteristics, and mental distress prevalence varied across time.

Prospective Association of Digital Media Use with Alcohol Use Initiation and Progression Among Adolescents.

BACKGROUND: Although adolescents commonly use digital media and consume alcohol , longitudinal evidence of the association between these behaviors is scant. This study examined the association between the frequency of digital media use and the subsequent initiation or progression of alcohol use. We also examined whether these associations were moderated by gender and race/ethnicity. METHODS: The study included 2,473 adolescents from a prospective cohort in the Los Angeles, CA area who were surveyed in fall 2015 (11th grade, baseline for the current study) and every 6 months through the end of high school (Spring 2017, 12th grade). At baseline, youth self-reported the total number of 14 digital media activities (e.g., checking social media, streaming music/videos, texting) they engaged in at a high frequency (i.e., many times a day) over the past week. Scores ranged from 0 (i.e., no reported high-frequency digital media use) to 14 (i.e., reported engagement in all 14 digital media activities at a high frequency). Self-report measures of ever using alcohol, number of days of alcohol use in the past 30 days (0 to 30), binge drinking (yes/no), and covariates (i.e., demographics and measures of behavioral health and other substance use) were assessed at each time point. RESULTS: Among respondents who at baseline reported never using alcohol (n = 1,214), high-frequency engagement in each additional digital media activity was associated with 4% higher odds of initiating alcohol use (aOR = 1.04, 95% CI: 1.01 to 1.07) across follow-up. Among respondents who at baseline reported ever using alcohol (n = 1,259), baseline high-frequency engagement in each additional digital media activity was associated at follow-up with 3% more days of alcohol use in the past 30 days (aIRR = 1.03, 95% CI: 1.00 to 1.06). Digital media use and binge drinking were not statistically significantly associated at follow-up. There was no evidence of moderation by gender or race/ethnicity. CONCLUSIONS: Digital media use frequency was modestly associated with increased risk of initiation and progression of alcohol use in adolescence. Additional research is needed to determine potential mechanisms for these associations.

Trajectories of Mental Distress Among U.S. Adults During the COVID-19 Pandemic.

BACKGROUND: Cross-sectional studies have found that the coronavirus disease 2019 (COVID-19) pandemic has negatively affected population-level mental health. Longitudinal studies are necessary to examine trajectories of change in mental health over time and identify sociodemographic groups at risk for persistent distress. PURPOSE: To examine the trajectories of mental distress between March 10 and August 4, 2020, a key period during the COVID-19 pandemic. METHODS: Participants included 6,901 adults from the nationally representative Understanding America Study, surveyed at baseline between March 10 and 31, 2020, with nine follow-up assessments between April 1 and August 4, 2020. Mixed-effects logistic regression was used to examine the association between date and self-reported mental distress (measured with the four-item Patient Health Questionnaire) among U.S. adults overall and among sociodemographic subgroups defined by sex, age, race/ethnicity, household structure, federal poverty line, and census region. RESULTS: Compared to March 11, the odds of mental distress among U.S. adults overall were 1.84 (95% confidence interval [CI] = 1.65-2.07) times higher on April 1 and 1.92 (95% CI = 1.62-2.28) times higher on May 1; by August 1, the odds of mental distress had returned to levels comparable to March 11 (odds ratio [OR] = 0.80, 95% CI = 0.66-0.96). Females experienced a sharper increase in mental distress between March and May compared to males (females: OR = 2.29, 95% CI = 1.85-2.82; males: OR = 1.53, 95% CI = 1.15-2.02). CONCLUSIONS: These findings highlight the trajectory of mental health symptoms during an unprecedented pandemic, including the identification of populations at risk for sustained mental distress.

Paediatric supraventricular tachycardia patients potentially more at risk of developing psychological difficulties compared to healthy peers.

AIM: Assess executive and socio-emotional/behavioural functioning in paediatric supraventricular tachycardia (SVT) patients. METHODS: SVT patients aged 7-17 who had not undergone catheter ablation were included. Parents completed the Child Behaviour Checklist (CBCL/6-18) and the Behavior Rating Inventory of Executive Functioning (BRIEF). Participants age 11-17 years completed the Youth Self-Report (YSR/11-18) and the BRIEF Self-Report (BRIEF-SR). One-sample z test was used to compare questionnaire results to the average t-score range (M = 50, SD = 10). RESULTS: Thirty (18 female) children/adolescents participated (M = 12.6 years old, SD = 3.2 years) with a mean SVT onset age of 7 years (SD = 4.3 years). BRIEF and BRIEF-SR results suggested no difference in executive functioning from average. Mean t-scores of CBCL/6-18 and YSR/11-18 subscales Anxious/Depressed, Withdrawn/Depressed, Somatic Complaints, Thought Problems, Diagnostic and Statistical Manual of Mental Disorders (DSM) Affective Problems, DSM Anxiety Problems and DSM Somatic Problems were significantly elevated compared to average. YSR/11-18 subscales Social Problems, Attention Problems, Internalizing Problems, DSM ADHD Problems and DSM Oppositional Defiant Problems had elevated mean t-scores compared to average. Effect sizes were small to medium (0.2 ≤ d ≤ 0.8). CONCLUSION: Paediatric patients with SVT potentially have a greater risk of developing behaviour, especially internalizing, problems compared to similarly aged children/adolescents without SVT.

Do the Transmissible Liability Index (TLI) and Adolescent Cannabis Use Predict Paranoid and Schizotypal Symptoms at Young Adulthood?

Background: Adolescent cannabis use is an established risk factor for the development of psychosis, but the premorbid vulnerability factors and specificity versus generality of the psychotic symptom domains affected in cannabis-psychosis relationships remain incompletely understood. To improve our understanding of these relationships, we used longitudinal data to examine the individual and interactive effects of preadolescent transmissible liability to substance use disorders (SUD), measured via the transmissible liability index (TLI), and adolescent cannabis use on the development of two distinct psychotic symptom domains, paranoid and schizotypal personality traits in young adulthood. Methods: We performed secondary analysis of data from the Center for Education and Drug Abuse (CEDAR) study, which longitudinally assessed offspring of men with (N = 211) and without (N = 237) lifetime history of SUD at ages 10-12, and across adolescence as they transitioned to young adulthood. TLI scores were calculated at age 10-12, self-reported cannabis use was assessed at age 16, and paranoid and schizotypal symptoms were assessed at age 19. Results: Cannabis use at age 16 and family history of SUD were significantly associated with paranoid and schizotypal symptoms at age 19, but TLI scores were not. The interactive effect of TLI x cannabis use was also not significant. Paranoid and schizotypal symptoms showed different dose-dependent sensitivities to cannabis exposure at age 16. Conclusions: These findings indicate that adolescent cannabis use and family history of SUD differentially contribute to the development of paranoid and schizotypal personality traits through mechanisms that do not include behavioral disinhibition.

Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis.

BACKGROUND: Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9. METHODS: We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy. RESULTS: 16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (-0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01). CONCLUSIONS: PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

Mental Distress in the United States at the Beginning of the COVID-19 Pandemic.

Objectives. To assess the impact of the COVID-19 pandemic on mental distress in US adults.Methods. Participants were 5065 adults from the Understanding America Study, a probability-based Internet panel representative of the US adult population. The main exposure was survey completion date (March 10-16, 2020). The outcome was mental distress measured via the 4-item version of the Patient Health Questionnaire.Results. Among states with 50 or more COVID-19 cases as of March 10, each additional day was significantly associated with an 11% increase in the odds of moving up a category of distress (odds ratio = 1.11; 95% confidence interval = 1.01, 1.21; P = .02). Perceptions about the likelihood of getting infected, death from the virus, and steps taken to avoid infecting others were associated with increased mental distress in the model that included all states. Individuals with higher consumption of alcohol or cannabis or with history of depressive symptoms were at significantly higher risk for mental distress.Conclusions. These data suggest that as the COVID-19 pandemic continues, mental distress may continue to increase and should be regularly monitored. Specific populations are at high risk for mental distress, particularly those with preexisting depressive symptoms.

The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis.

BACKGROUND: Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results. OBJECTIVE: To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. METHODS: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview. RESULTS: Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88). CONCLUSIONS: The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.

Cigarette excise taxes, clean indoor air laws, and use of smoking cessation treatments: A mediation analysis.

The role of smoking cessation treatments in the link between clean indoor air laws and cigarette taxes with smoking cessation is not known. This study examined whether the use of smoking cessation treatments mediates the association between clean indoor air laws and cigarette excise taxes, on the one hand, and recent smoking cessation, on the other hand. Using data on 62,165 adult participants in the 2003 and 2010-2011 Current Population Survey-Tobacco Use Supplement who reported smoking cigarettes in the past year, we employed structural equation models to quantify the degree to which smoking cessation treatments (prescription medications, nicotine replacement therapy, counseling/support groups, quitlines, and internet-based resources) mediate the association between clean indoor air laws, cigarette excise taxes and recent smoking cessation. Recent smoking cessation was associated with clean indoor air laws in 2003 and with both clean indoor air laws and excise taxes in 2010-2011. Smoking cessation treatments explained between 29% to 39% of the effect of clean indoor air laws and taxes on recent smoking cessation. While clean indoor air laws remained significantly associated with the recent smoking cessation over the first decade of the 2000s, excise taxes gained a more prominent role in later years of that decade. The influence of these policies was partly mediated through the use of smoking cessation treatments, underscoring the importance of policies that make these treatments more widely available.

Mental distress during the COVID-19 pandemic among US adults without a pre-existing mental health condition: Findings from American trend panel survey.

Most individuals in the United States have no history of a mental health condition yet are at risk for psychological distress due to the COVID-19 pandemic. The objective of this study was to assess the frequency and risk and protective factors of psychological distress, during the beginning of the COVID-19 pandemic, in this group. Data comes from the Pew Research Center's American Trends Panel (ATP), a probability-based online survey panel representative of the US adult population. The analytic sample consisted of 9687 individuals with no prior history of a mental health condition who completed the survey between March 19-24, 2020. Explanatory variables included sociodemographic factors and items related to behavior, perceptions, and experiences surrounding the pandemic. The outcome was psychological distress, measured by five items on symptoms of anxiety, depression, loneliness, sleep difficulties, and hyperarousal. A multivariable linear regression model was used to identify risk and protective factors for psychological distress. Fifteen percent of the sample experienced 2 psychological distress symptoms for at least 3 days over the past week; 13% had three or more symptoms. Risk factors for higher distress included searching online or using social media to post about coronavirus, reporting that the outbreak caused major changes to personal life, and perception that the virus was a threat to the US economy, the individual's personal health or finances. This has important implications for mental health service delivery.

Overestimation of Postpartum Depression Prevalence Based on a 5-item Version of the EPDS: Systematic Review and Individual Participant Data Meta-analysis.

OBJECTIVE: The Maternal Mental Health in Canada, 2018/2019, survey reported that 18% of 7,085 mothers who recently gave birth reported "feelings consistent with postpartum depression" based on scores ≥7 on a 5-item version of the Edinburgh Postpartum Depression Scale (EPDS-5). The EPDS-5 was designed as a screening questionnaire, not to classify disorders or estimate prevalence; the extent to which EPDS-5 results reflect depression prevalence is unknown. We investigated EPDS-5 ≥7 performance relative to major depression prevalence based on a validated diagnostic interview, the Structured Clinical Interview for DSM (SCID). METHODS: We searched Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO, and the Web of Science Core Collection through June 2016 for studies with data sets with item response data to calculate EPDS-5 scores and that used the SCID to ascertain depression status. We conducted an individual participant data meta-analysis to estimate pooled percentage of EPDS-5 ≥7, pooled SCID major depression prevalence, and the pooled difference in prevalence. RESULTS: A total of 3,958 participants from 19 primary studies were included. Pooled prevalence of SCID major depression was 9.2% (95% confidence interval [CI] 6.0% to 13.7%), pooled percentage of participants with EPDS-5 ≥7 was 16.2% (95% CI 10.7% to 23.8%), and pooled difference was 8.0% (95% CI 2.9% to 13.2%). In the 19 included studies, mean and median ratios of EPDS-5 to SCID prevalence were 2.1 and 1.4 times. CONCLUSIONS: Prevalence estimated based on EPDS-5 ≥7 appears to be substantially higher than the prevalence of major depression. Validated diagnostic interviews should be used to establish prevalence.

Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression: Systematic Review and Meta-analysis.

Importance: The Patient Health Questionnaire depression module (PHQ-9) is a 9-item self-administered instrument used for detecting depression and assessing severity of depression. The Patient Health Questionnaire-2 (PHQ-2) consists of the first 2 items of the PHQ-9 (which assess the frequency of depressed mood and anhedonia) and can be used as a first step to identify patients for evaluation with the full PHQ-9. Objective: To estimate PHQ-2 accuracy alone and combined with the PHQ-9 for detecting major depression. Data Sources: MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, PsycINFO, and Web of Science (January 2000-May 2018). Study Selection: Eligible data sets compared PHQ-2 scores with major depression diagnoses from a validated diagnostic interview. Data Extraction and Synthesis: Individual participant data were synthesized with bivariate random-effects meta-analysis to estimate pooled sensitivity and specificity of the PHQ-2 alone among studies using semistructured, fully structured, or Mini International Neuropsychiatric Interview (MINI) diagnostic interviews separately and in combination with the PHQ-9 vs the PHQ-9 alone for studies that used semistructured interviews. The PHQ-2 score ranges from 0 to 6, and the PHQ-9 score ranges from 0 to 27. Results: Individual participant data were obtained from 100 of 136 eligible studies (44 318 participants; 4572 with major depression [10%]; mean [SD] age, 49 [17] years; 59% female). Among studies that used semistructured interviews, PHQ-2 sensitivity and specificity (95% CI) were 0.91 (0.88-0.94) and 0.67 (0.64-0.71) for cutoff scores of 2 or greater and 0.72 (0.67-0.77) and 0.85 (0.83-0.87) for cutoff scores of 3 or greater. Sensitivity was significantly greater for semistructured vs fully structured interviews. Specificity was not significantly different across the types of interviews. The area under the receiver operating characteristic curve was 0.88 (0.86-0.89) for semistructured interviews, 0.82 (0.81-0.84) for fully structured interviews, and 0.87 (0.85-0.88) for the MINI. There were no significant subgroup differences. For semistructured interviews, sensitivity for PHQ-2 scores of 2 or greater followed by PHQ-9 scores of 10 or greater (0.82 [0.76-0.86]) was not significantly different than PHQ-9 scores of 10 or greater alone (0.86 [0.80-0.90]); specificity for the combination was significantly but minimally higher (0.87 [0.84-0.89] vs 0.85 [0.82-0.87]). The area under the curve was 0.90 (0.89-0.91). The combination was estimated to reduce the number of participants needing to complete the full PHQ-9 by 57% (56%-58%). Conclusions and Relevance: In an individual participant data meta-analysis of studies that compared PHQ scores with major depression diagnoses, the combination of PHQ-2 (with cutoff ≥2) followed by PHQ-9 (with cutoff ≥10) had similar sensitivity but higher specificity compared with PHQ-9 cutoff scores of 10 or greater alone. Further research is needed to understand the clinical and research value of this combined approach to screening.

Teenage night owls or early birds? Chronotype and the mental health of adolescents.

Evidence suggests that the timing of sleep (chronotype) impacts mental health in young people, but previous studies have not accounted for sleep duration or school start time in this association, or examined a broad range of mental outcomes. In this study, we investigated the association between chronotype and mental health in a representative sample of adolescents from the 2014 Canadian Health Behaviour in School-Aged Children survey (29,635 students, 362 schools). We examined positive and negative aspects of mental health, using scores for emotional problems (range 0-33), emotional well-being (0-22), behavioural problems (0-28) and prosocial behaviours (0-25). We estimated chronotype using the time of mid-sleep on weekends and examined the associations using multilevel regressions, adjusted for sleep duration, school start time, individual, family and geographic characteristics. The average time of mid-sleep (chronotype) was 04:11 hr. An hour delay in mid-sleep time was associated with more emotional problems (0.34 [95% confidence interval 0.23, 0.45] point higher score), more behavioural problems (2.0% [95% confidence interval 1.4%, 2.6%] higher score), less emotional well-being (0.19 [95% confidence interval 0.09, 0.20] point lower score), and fewer prosocial behaviours (0.18 [95% confidence interval 0.08, 0.29] point lower score). A later chronotype was associated with poorer mental health, independent of sleep duration and school start time, and across internalizing and externalizing mental health domains. Further research is needed to clarify the mechanisms underlying this association. The timing of sleep, and not just its duration, may be an additional consideration for youth mental health.

Clean indoor air laws, cigarette excise taxes, and smoking: Results from the current population survey-tobacco use supplement, 2003-2011.

There was an increase in the number and coverage of state and local clean indoor air laws in the US during the past fifteen years. These laws coincided with increases in federal, state, and local cigarette excise taxes. In light of these changes, the objective of this study was to examine the association between clean indoor air laws, cigarette excise taxes and smoking patterns between 2003 and 2011. Using data on 62,165 adult participants in the 2003 and 2010/2011 Current Population Survey-Tobacco Use Supplement who reported smoking cigarettes in the past year, we examined the association of state and county workplace, bar, and restaurant clean indoor air laws and cigarette excise taxes with quitting and current every-day smoking. Between 2003 and 2011, quitting increased and daily smoking among those who continued to smoke decreased significantly. Participants living in states and counties with higher excise taxes and more comprehensive clean indoor air laws had a higher likelihood of quitting and lower likelihood of everyday smoking. Based on the assumption of no uncontrolled confounding, changes in taxes and laws accounted for 64.8% of the increase in smoking cessation and all of the reduction in everyday smoking. Implementation of state and county-level clean indoor air laws and cigarette taxes appears to have achieved the intended goal of encouraging smokers to either quit or reduce their frequency of smoking.

Shortening self-report mental health symptom measures through optimal test assembly methods: Development and validation of the Patient Health Questionnaire-Depression-4.

BACKGROUND: The objective of this study was to develop and validate a short form of the Patient Health Questionnaire-9 (PHQ-9), a self-report questionnaire for assessing depressive symptomatology, using objective criteria. METHODS: Responses on the PHQ-9 were obtained from 7,850 English-speaking participants enrolled in 20 primary diagnostic test accuracy studies. PHQ unidimensionality was verified using confirmatory factor analysis, and an item response theory model was fit. Optimal test assembly (OTA) methods identified a maximally precise short form for each possible length between one and eight items, including and excluding the ninth item. The final short form was selected based on prespecified validity, reliability, and diagnostic accuracy criteria. RESULTS: A four-item short form of the PHQ (PHQ-Dep-4) was selected. The PHQ-Dep-4 had a Cronbach's alpha of 0.805. Sensitivity and specificity of the PHQ-Dep-4 were 0.788 and 0.837, respectively, and were statistically equivalent to the PHQ-9 (sensitivity = 0.761, specificity = 0.866). The correlation of total scores with the full PHQ-9 was high (r = 0.919). CONCLUSION: The PHQ-Dep-4 is a valid short form with minimal loss of information of scores when compared to the full-length PHQ-9. Although OTA methods have been used to shorten patient-reported outcome measures based on objective, prespecified criteria, further studies are required to validate this general procedure for broader use in health research. Furthermore, due to unexamined heterogeneity, there is a need to replicate the results of this study in different patient populations.

Does the density of the health workforce predict adolescent health? A cross-sectional, multilevel study of 38 countries.

BACKGROUND: Scant evidence exists on the relation between the availability of health professionals and adolescent health, and whether the size of the health workforce equally benefits adolescents across socioeconomic strata. METHODS: We conducted a cross-sectional analysis of adolescent health in 38 countries. Data from 218 790 adolescents were drawn from the 2013/2014 Health Behavior in School-aged Children survey. We used multilevel regression analyses to examine the association between the density of the health workforce and psychosomatic and mental health symptoms with differences in country wealth and income inequality controlled. RESULTS: A higher density of psychologists was associated with better self-reported mental health in adolescents (P = 0.047); however, this finding was not robust to sensitivity analyses. The densities of physicians and psychiatrists were not significantly associated with better adolescent psychosomatic or mental health. Cross-level interactions between the health workforce and socioeconomic status did not relate to health, indicating that larger health workforces did not reduce socioeconomic differences in adolescent health. CONCLUSIONS: This study found that adolescents in countries with a higher density of health providers do not report better psychosomatic or mental health. Other social or structural factors may play larger roles in adolescent health.

E-cigarette use and sleep-related complaints among youth.

INTRODUCTION: E-cigarette use is highly prevalent among adolescents. However, little research has examined the relationship between e-cigarette use and sleep-related complaints in this population. The objective of this study was to assess whether exclusive e-cigarette, exclusive combusted cigarette, and dual-product use are associated with sleep-related complaints among adolescents. METHODS: Participants were 9,588 U.S. adolescents from the Population Assessment of Tobacco and Health Study, a nationally representative cohort, followed from 2013 through 2015. Using logistic regression, we examined the cross-sectional association between past-year e-cigarette, combusted cigarette, or dual-product use and past-year sleep-related complaints (bad dreams, sleeping restlessly, or falling asleep during the day), both measured at Wave 2. We controlled for Wave 1 demographic characteristics, emotional and behavioral health, and prior history of e-cigarette use, combusted cigarette use, and sleep-related complaints. RESULTS: In unadjusted analyses, e-cigarette, combusted cigarette, and dual-product use were significantly associated with greater odds of sleep-related complaints, compared to use of neither product (e-cigarettes: OR = 1.61, 95% CI 1.34-1.94; combusted cigarettes: OR = 1.62, 95% CI 1.26-2.09; dual-product use: OR = 2.00, 95% CI 1.63-2.46). Associations between e-cigarette and dual-product use and sleep-related complaints remained significant in fully adjusted analyses (e-cigarettes: aOR = 1.29, 95% CI 1.05-1.59; dual-product use: aOR = 1.57, 95% CI 1.24-1.99), whereas associations with combusted cigarette use were significant in all models except the fully adjusted model (aOR = 1.30, 95% CI 0.98-1.71). CONCLUSIONS: E-cigarette and dual-product use are significantly associated with greater odds of reporting sleep-related complaints among adolescents. Future research should evaluate whether this association may be causal.