Temperature and mental health–related emergency department and hospital encounters among children, adolescents and young adults

Niu, Li; Girma, Blean; Liu, Bian; Schinasi, Leah H.; Clougherty, Jane E.; Sheffield, Perry

doi:10.1017/s2045796023000161

Cited by 12 publications

(3 citation statements)

References 47 publications

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“…More specifically for youths, Niu et al. ( 2023 ) found that high summer temperatures were associated with a significant increase in MBD‐related ER visits. However, in our analysis, we found that not only was maximum temperature normally not the most predictive variable, but a high maximum temperature resulted in lower MBD‐related hospital visits when it was a top contributing variable.…”

Section: Discussionmentioning

confidence: 99%

Socio‐Environmental Determinants of Mental and Behavioral Disorders in Youth: A Machine Learning Approach

Wertis,

Sugg,

Runkle

et al. 2023

GeoHealth

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Growing evidence indicates that extreme environmental conditions in summer months have an adverse impact on mental and behavioral disorders (MBD), but there is limited research looking at youth populations. The objective of this study was to apply machine learning approaches to identify key variables that predict MBD‐related emergency room (ER) visits in youths in select North Carolina cities among adolescent populations. Daily MBD‐related ER visits, which totaled over 42,000 records, were paired with daily environmental conditions, as well as sociodemographic variables to determine if certain conditions lead to higher vulnerability to exacerbated mental health disorders. Four machine learning models (i.e., generalized linear model, generalized additive model, extreme gradient boosting, random forest) were used to assess the predictive performance of multiple environmental and sociodemographic variables on MBD‐related ER visits for all cities. The best‐performing machine learning model was then applied to each of the six individual cities. As a subanalysis, a distributed lag nonlinear model was used to confirm results. In the all cities scenario, sociodemographic variables contributed the greatest to the overall MBD prediction. In the individual cities scenario, four cities had a 24‐hr difference in the maximum temperature, and two of the cities had a 24‐hr difference in the minimum temperature, maximum temperature, or Normalized Difference Vegetation Index as a leading predictor of MBD ER visits. Results can inform the use of machine learning models for predicting MBD during high‐temperature events and identify variables that affect youth MBD responses during these events.

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Section: Discussionmentioning

confidence: 99%

Socio‐Environmental Determinants of Mental and Behavioral Disorders in Youth: A Machine Learning Approach

Wertis,

Sugg,

Runkle

et al. 2023

GeoHealth

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“…We modeled the non-linear effect of Tmin cumulatively over lag days 0–5 on injury-related ED visits. We chose this lag period based on our prior analyses of ambient temperature and ED visits, which explored varying lag structures and functional forms (Winquist et al 2016 , Sheffield et al 2018 , Niu et al 2023 ). These studies commonly examined a 6 d lag period (case day plus six lag days); prior results indicated significant effects of heat only on the case day (supplemental figure S5).…”

Section: Methodsmentioning

confidence: 99%

“…These studies commonly examined a 6 d lag period (case day plus six lag days); prior results indicated significant effects of heat only on the case day (supplemental figure S5). Consistent with previous research, the lag-response curve for Tmin was modeled as a cubic spline with 3 degrees of freedom, to account for the non-linear relationship between Tmin and injury-related ED visits (Niu et al 2023 ).…”

Section: Methodsmentioning

confidence: 99%

High ambient temperatures associations with children and young adult injury emergency department visits in NYC

Girma

Liu

Schinasi

et al. 2023

Environ. Res.: Health

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Background Injury is a significant health burden for children and young adult and may be an increasing concern in a warming climate. Research reveals many impacts to children’s health associated with hot weather and heatwave events, including a growing literature on the association between high ambient temperature and injury, which may vary by intent such as injury resulting from violence. However, little is known about how this association varies across different types of injury and subgroups of young people. We examined relationships between warm season ambient temperature and intentional and unintentional injury among children and young adults in New York City (NYC). Methods Within a case-crossover design, our study observed injury-related ED visits from an administrative dataset. Injuries were categorized as unintentional or intentional injuries during the warm season (May through September) in NYC from 2005 to 2011 among patients (0, 1-4, 5-9, 10-14, 15-19, 20-25 years old (y.o.)). Conditional logistic regression models with distributed lag non-linear functions were used to model the cumulative odds ratio (OR) injury-related ED visit over 0-5 lag days. Analyses were stratified by age group and sex to understand how associations vary across young people of different age and sex. Results There were a total of 572,535 injury-related ED visits. The largest effect of elevated temperature (daily minimum 77°F vs 48°F) was for unintentional injury among 5-9 y.o. (OR 1.32, 95% CI 1.23, 1.42) and for intentional injury among 20-25 y.o. (OR 1.54, 95% CI 1.28, 1.85). Further stratified analyses revealed that the highest risk of unintentional injury was among 5-9 y.o. males and 20-25y.o. males for intentional injury.Conclusion We demonstrate an elevated odds of approximately 30% of an ED visit for injury (unintentional and intentional across most age groups) between the coolest days of the warm season to some of the warmest.

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Impact of Climate Change on Adolescents' Health Outcomes: An Evidence Gap Map Review

Meherali,

Nisa,

Aynalem

et al. 2024

Journal of Adolescence

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BackgroundThe evolving impact of climate change on adolescents' health is a pressing global concern. Climate change's effects on their physical, mental, and social well‐being worsen unique developmental challenges for adolescents. This study aims to map existing evidence, identify gaps, and highlight research and intervention needs.MethodsFollowing Campbell standards, an evidence gap map (EGM) review was conducted. We searched for global studies on adverse climate events and adolescents aged 10–19 using five databases such as Medline, EMBASE, Global Health, CINAHL, and Scopus from September 1946 to June 01, 2023. Two independent reviewers completed the screening using Covidence software, and a critical appraisal of all included studies. EGM was developed using EPPI Mapper software, which presents a comprehensive overview of climate events and their impact on adolescents' health outcomes. This study protocol was registered in the International Platform of Registered Systematic Review and Meta‐Analysis (INPLASY) (# INPLASY202410119).FindingsWe included 44 studies that explored the impact of climate change on adolescents' health. Most included studies were from Asia (35), with limited evidence from Africa, Australia, and South America (one study each). Earthquakes, hurricanes, and tornadoes were the major climate events impacting adolescents' health and well‐being globally (37 studies). However, wildfires, droughts, and extreme heat got less attention. Most studies reported climate change's impact on adolescents' mental health (44), with few studies reporting the effect on physiological and psychosocial aspects of adolescents' health and well‐being (10).ConclusionThe systematic examination reveals significant evidence gaps, particularly in Africa, Australia, and South America, and in climate events like wildfires, droughts, and extreme heat. Most studies focus on mental health, with limited research on physiological and psychosocial aspects. These gaps highlight key areas for future research and targeted interventions at the intersection of adolescent health and climate change.

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Temperature and mental health–related emergency department and hospital encounters among children, adolescents and young adults

Cited by 12 publications

References 47 publications

Socio‐Environmental Determinants of Mental and Behavioral Disorders in Youth: A Machine Learning Approach

Socio‐Environmental Determinants of Mental and Behavioral Disorders in Youth: A Machine Learning Approach

High ambient temperatures associations with children and young adult injury emergency department visits in NYC

Impact of Climate Change on Adolescents' Health Outcomes: An Evidence Gap Map Review

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