Association Between Insufficient Sleep, Depressive Symptoms, and Suicidality Among Florida High School Students.

INTRODUCTION: Emerging research suggests insufficient sleep can heighten the risk of poor mental health among adolescents. We examined the relationship between sleep, depressive symptoms, and suicidal thoughts and behaviors among Florida high school students. METHODS: Data were from the 2021 Florida High School Youth Risk Behavior Survey, a statewide representative sample of students in grades 9 to 12. We estimated prevalence of 1 indicator of depressive symptoms - feeling sad or hopeless for 2 or more weeks - and 2 indicators of suicidality - having considered attempting suicide and making a suicide plan - by insufficient sleep status (<8 h of sleep on an average school night). Multivariate logistic regressions were used to calculate odds ratios measuring the association between insufficient sleep, poor mental health, and suicidality. RESULTS: Compared with students reporting sufficient sleep, those with insufficient sleep were more likely to feel sad or hopeless (42.7% vs 28.1%), have considered suicide (19.1% vs 12.5%), or have made a suicide plan (14.8% vs 9.6%). In adjusted multivariate models, compared with students with sufficient sleep, students with insufficient sleep had higher odds of feeling sad or hopeless (adjusted odds ratio [AOR] = 1.83; 95% CI 1.54-2.17), and having made a plan about how they would attempt suicide (AOR = 1.32; 95% CI, 1.00-1.74), but did not have significantly higher odds of having seriously considered suicide. CONCLUSION: Increased attention to sleep as a modifiable risk factor for mental health among adolescents is particularly important because of the many less modifiable factors that contribute to mental health difficulties in this population. Adolescent mental health programs should consider sleep an important factor in suicide prevention.

COVID-19 Information-Seeking and Prevention Behaviors in Florida, April 2020.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) surveillance can be enhanced by collecting population-level data on individual prevention measures. We described the use of a state-based, population-level surveillance system on COVID-19 prevention and information-seeking behaviors in Florida during the first month of survey administration. METHODS: Beginning in April 2020, respondents of the Florida Behavioral Risk Factor Surveillance System were asked a series of 8 questions about sources of COVID-19 information and prevention behaviors. We analyzed the prevalence of information-seeking and prevention behaviors among respondents who answered at least 1 of the 8 questions (N = 1,004) overall, by demographic characteristics, and by the presence of chronic conditions. RESULTS: Most respondents reported engaging in prevention behaviors, including handwashing (98.2%), reducing or avoiding travel (96.6%), avoiding crowds and public events (96.5%), and keeping household members at home (87.5%); however, the prevalence of prevention behaviors varied significantly by age, sex, and education. The most frequently reported source of COVID-19 information was the Centers for Disease Control and Prevention's website (40.8%) followed by the Florida Department of Health's website (32.9%). We found significant differences in information sources across all demographic and chronic condition subgroups. A larger proportion of respondents with chronic conditions (vs without chronic conditions) reported consulting their personal doctor for COVID-19 information. CONCLUSION: Understanding the uptake and characteristics associated with individual prevention and information-seeking behaviors at the population level facilitates COVID-19 response efforts. The rapid implementation of COVID-19-related questions in the Florida BRFSS provides a useful model for other population-based surveillance systems.

Grandparent-Adult Grandchild Relationships: Development of a Typology Using Latent Class Analysis.

BACKGROUND AND OBJECTIVES: Grandparent-adult grandchild relationships may not be captured in existing grandparenting typologies, which focus on early stages of these relationships. Our study develops a typology for later stages, estimates the prevalence of grandparents in each category, and examines associations between category membership and grandparent and grandchild characteristics. RESEARCH DESIGN AND METHODS: Using a sample of 289 grandparents from the latest wave of the Longitudinal Study of Generations (2005), we employed latent class analysis to examine underlying categories of grandparent-adult grandchild relationships, based on four dimensions-frequency of contact, relationship quality, grandparents' receipt of support, and geographic distance. RESULTS: Three latent classes emerged: Geographically Distant/Low Contact (45%), Geographically Close/High Contact (42%), and Geographically Close/Low Contact (13%). While geographic distance and frequency of contact were dimensions distinguishing grandparent-adult grandchild relationships, receipt of support and relationship quality were not. Most grandparents reported close relationships but infrequent support. DISCUSSION AND IMPLICATIONS: By identifying categories of grandparent-adult grandchild relationships and factors influencing membership in them, our study may aid in efforts to strengthen those characterized by weak bonds-namely, those with grandparents who are older, frailer, and poorer.