Estimating the prevalence of any impairing childhood mental disorder in the national health interview survey

Explainable AI-based suicidal and non-suicidal ideations detection from social media text with enhanced ensemble technique

This research presents a novel framework for distinguishing between actual and non-suicidal ideation in social media interactions using an ensemble technique. The prompt identification of sentiments on social networking platforms is crucial for timely intervention serving as a key tactic in suicide prevention efforts. However, conventional AI models often mask their decision-making processes primarily designed for classification purposes. Our methodology, along with an updated ensemble method, bridges the gap between Explainable AI and leverages a variety of machine learning algorithms to improve predictive accuracy. By leveraging Explainable AI's interpretability to analyze the features, the model elucidates the reasoning behind its classifications leading to a comprehension of hidden patterns associated with suicidal ideations. Our system is compared to cutting-edge methods on several social media datasets using experimental evaluations, demonstrating that it is superior, since it detects suicidal content more accurately than others. Consequently, this study presents a more reliable and interpretable strategy (F1-score for suicidal = 95.5% and Non-Suicidal = 99%), for monitoring and intervening in suicide-related online discussions.

Obesity in Adolescents: Understanding the Combined Role of Food Security and Emotional and Behavioral Disorders

PURPOSE

To examine the associations and interactions between levels of food security and emotional and behavioral disorders with obesity in adolescents.

METHODS

Multiple logistic regression modeling was used to analyze the association of adolescent obesity with levels of food security and emotional and behavior disorders in children aged 12-17 years using data from National Health Interview Survey 2016-2018 combined years. Presence of emotional and behavioral disorders within food security categories was added to logistic regression modeling to examine interactions.

RESULTS

When added individually to multiple logistic regression models, marginal and low food security, Attention Deficit Hyperactivity Disorder (ADHD) and anxiety were associated with increased odds of obesity, but very low food security and depression were not. Within the group of adolescents with very low food security, those with anxiety, depression, or ADHD had a nearly two to three-fold increase in odds of obesity compared to adolescents with very low food security and no emotional and behavioral disorders. A similar increase in the odds of obesity with the presence of anxiety, depression, or ADHD was not seen in the adolescents with high food security.

DISCUSSION

This study finds a significant interaction between food security level and emotional and behavioral disorders. The distinction that very low food security in adolescents is only associated with obesity when either anxiety, depression or ADHD are present, but not independently, is an important contribution to understanding complex interactions contributing to obesity.

The Impact of Medical Financial Hardship on Children's Health

Objective. To determine whether living in a family with medical financial hardship decreases children's access to health care. Methods. We identified children aged 4 to 17 years from the 2013 to 2018 National Health Interview Surveys. Medical financial hardship was defined as living in a family where one or more family members had problems paying medical bills in the past 12 months. Results. Of 53 483 children in the analysis, 19% were exposed to medical financial hardship. This was adversely associated with children's health status and health care use, especially greater odds of delaying care (odds ratio [OR] = 5.28; 95% confidence interval [CI] = 4.51-6.19) and having unmet health care needs (OR = 4.43; 95% CI = 4.00-4.91). Conclusions. One fifth of children live in families experiencing medical financial hardship, and this exposure is adversely correlated with child health outcomes even controlling for established measures of socioeconomic status, such as family income, health insurance coverage, and need-based program participation.

Relationship of Children's Emotional and Behavioral Disorders With Health Care Utilization and Missed School

OBJECTIVE

To assess the association between emotional and behavioral disorders (EBD), missed school days and health care visits while controlling for sociodemographic factors, and comorbid medical conditions in a nationally representative sample.

METHODS

Data from the 2016 National Health Interview Survey were used to assess the associations between EBD, in children aged 4 to 11 and 12 to 17 years, on missed days of school, health care office visits, and emergency department visits. EBD was assessed utilizing a validated screener. Multiple logistic regression was used to control for comorbid medical conditions and sociodemographic factors.

RESULTS

Adolescents who screened positive for anxiety, depression, peer problems, and severe impairment had 4 to 8 times the odds of missing more school than their peers that screened negative. Young children with anxiety had 4 times increased odds of missing more school whereas positive emotional and behavioral health was protective against missing school. Young children and adolescents who screened positive for anxiety, depression, and severe impairment had 3 to 6 and 2 to 4 times the odds of more office visits respectively. Emergency department utilization was significantly increased in adolescents with anxiety and younger children with severe impairment.

CONCLUSIONS

This study shows that children with EBD are more likely to have increased office visits and missed days of school, even after adjusting for sociodemographic factors and comorbid medical conditions. Recognition of early associations of EBD can create an opportunity for early identification of children with EBD in the pediatric practice.

Trends in Mental Well-Being of Non-Hispanic White Children of Midlife Parents With Low Education

Background

It is unknown whether recent increase in mortality and morbidity linked to mental despair (eg, suicide, opioid addiction, alcoholism) in midlife non-Hispanic whites (NHWs) was accompanied by declines in mental well-being of NHW children. The author examined aggregate trends in the mental well-being of NHW children between 2003 and 2018.

Methods

The author used linear (unadjusted) regression to generate estimates of long period (ie, between 2003-2005 and 2016-2018) and annual change in mental well-being and self-assessed health from the National Health Interview Survey data on 68 057 NHW children (aged 4-17 years).

Results

The NHW children showed no significant change in any of the tracked indicators (composite Strength and Difficulties Questionnaire [SDQ] 5-item score: long period: -0.03, 95% confidence interval [CI]: -0.09 to 0.02, annual: -0.00, 95% CI: -0.01 to 0.00; severe impairment in mental function: long period: 0.01, 95% CI: 0.00 to 0.02; subjective perception of overall health: long period: -0.01, 95% CI: -0.01 to -0.00). The author did not detect any gradient of worsening SDQ scores with parental midlife status and low parental education. However, the trends in SDQ scores in NHW children were slightly worse than those for children of other major race/ethnic groups.

Conclusion

The author did not find evidence of worsening mental distress in NHW children overall or whose parents were in their midlives and less educated.

Mental health impairment among children with atopic dermatitis: A United States population-based cross-sectional study of the 2013-2017 National Health Interview Survey

BACKGROUND

Atopic dermatitis (AD) is associated with mental health disorders, but its impact on global mental health symptoms is less clear.

OBJECTIVE

To determine the association between pediatric AD and mental health impairment.

METHODS

In a cross-sectional study using 2013-2017 United States National Health Interview Survey data, children with and without AD were assessed for mental disorder with impairment (MDI) using a validated behavioral screening questionnaire. Mental health services utilization was also reported.

RESULTS

The prevalence of any MDI was 26.7% (95% confidence interval [CI], 25.1-28.3) among children with AD and 17.7% (95% CI, 17.2-18.2) among those without AD, with severe MDI being present in 10.9% (95% CI 9.9-12.1) and 6.2% (95% CI 5.9-6.5), respectively. Adjusted for sociodemographic factors, AD was associated with higher odds of MDI (odds ratio, 1.52; 95% CI, 1.39-1.67), including impairments in conduct, emotions, peer relationships, and attention. Among children with AD, 19.9% (95% CI, 16.6-23.8) and 53.5% (95% CI, 48.5-58.5) of those with mild or severe MDI, respectively, had seen a mental health professional in the last year.

LIMITATIONS

Misclassification bias may arise from self-reported data.

CONCLUSION

AD is associated with clinically significant mental health symptoms, but many affected children may not seek or receive care for their symptoms.

How do economic downturns affect the mental health of children? Evidence from the National Health Interview Survey

Research linking economic conditions and health often does not consider children's mental health problems, which are the most common and consequential health issues for children and adolescents. We examine the effects of unemployment rates and housing prices on well-validated child and adolescent mental health outcomes and use of special education services for emotional problems in the 2001-2013 National Health Interview Survey. We find that the effects of economic conditions on children's mental health are clinically and economically meaningful; children's mental health outcomes worsen as the economy weakens. The effects of economic conditions on child and adolescent mental health are pervasive, found in almost every subgroup that we examine. The use of special education services for emotional problems also rises when economic conditions worsen. Our analyses of possible mechanisms that link economic conditions to child mental health suggest that parental unemployment cannot fully explain the relationship between economic conditions and child mental health.

Prevalence, Health and Resource Utilization, and Unmet Healthcare Needs of Native Hawaiian and Pacific Islander Children With Developmental Disabilities

Little is known about health limitations and service utilization among the Native Hawaiian and Pacific Islander (NHPI) children with developmental disabilities (DDs) due to limited data. Our study examined the prevalence of DDs, health limitations, services used, and the unmet needs of NHPI children aged 3 to 17 years using cross-sectional data from the 2014 NHPI National Health Interview Survey. Results showed that prevalence of DDs among NHPI children was lower than American children of other races. DDs were negatively associated with health and functioning of NHPI children. There is a need to promote understanding of DDs among NHPI families and to inform public policy makers to identify appropriate intervention services for NHPI children.

Parental Sexual Orientation and Children's Psychological Well-Being: 2013-2015 National Health Interview Survey

Debate persists about whether parental sexual orientation affects children's well-being. This study utilized information from the 2013 to 2015 U.S., population-based National Health Interview Survey to examine associations between parental sexual orientation and children's well-being. Parents reported their children's (aged 4-17 years old, N = 21,103) emotional and mental health difficulties using the short form Strengths and Difficulties Questionnaire (SDQ). Children of bisexual parents had higher SDQ scores than children of heterosexual parents. Adjusting for parental psychological distress (a minority stress indicator) eliminated this difference. Children of lesbian and gay parents did not differ from children of heterosexual parents in emotional and mental health difficulties, yet, the results among children of bisexual parents warrant more research examining the impact of minority stress on families.

Estimated probability of becoming a case of drug dependence in relation to duration of drug-taking experience: a functional analysis approach

Measured as elapsed time from first use to dependence syndrome onset, the estimated "induction interval" for cocaine is thought to be short relative to the cannabis interval, but little is known about risk of becoming dependent during first months after onset of use. Virtually all published estimates for this facet of drug dependence epidemiology are from life histories elicited years after first use. To improve estimation, we turn to new month-wise data from nationally representative samples of newly incident drug users identified via probability sampling and confidential computer-assisted self-interviews for the United States National Surveys on Drug Use and Health, 2004-2013. Standardized modules assessed first and most recent use, and dependence syndromes, for each drug subtype. A four-parameter Hill function depicts the drug dependence transition for subgroups defined by units of elapsed time from first to most recent use, with an expectation of greater cocaine dependence transitions for cocaine versus cannabis. This study's novel estimates for cocaine users one month after first use show 2-4% with cocaine dependence; 12-17% are dependent when use has persisted. Corresponding cannabis estimates are 0-1% after one month, but 10-23% when use persists. Duration or persistence of cannabis smoking beyond an initial interval of a few months of use seems to be a signal of noteworthy risk for, or co-occurrence of, rapid-onset cannabis dependence, not too distant from cocaine estimates, when we sort newly incident users into subgroups defined by elapsed time from first to most recent use. Copyright © 2016 John Wiley & Sons, Ltd.

Severity of Household Food Insecurity Is Positively Associated with Mental Disorders among Children and Adolescents in the United States

BACKGROUND

Household food insecurity and mental disorders are both prevalent conditions among children and adolescents (i.e., youth) in the United States. Although some research has examined the association between the 2 conditions, it is not known whether more severe food insecurity is differently associated with mental disorders in youth.

OBJECTIVE

We investigated the association between severity of household food insecurity and mental disorders among children (aged 4-11 y) and adolescents (aged 12-17 y) using valid and reliable measures of both household food security status and mental disorders.

METHODS

We analyzed cross-sectional data on 16,918 children and 14,143 adolescents whose families participated in the 2011-2014 National Health Interview Survey. The brief Strengths and Difficulties Questionnaire and the 10-item USDA Household Food Security Survey Module were used to measure mental disorders and food security status, respectively. Multinomial logistic regressions were used to test the association between household food security status and mental disorders in youth.

RESULTS

There was a significant linear trend in ORs, such that as severity of household food insecurity increased so did the odds of youth having a mental disorder (P < 0.001). Other selected results included the following: compared with food-secure households, youth in marginally food-secure households had higher odds of having a mental disorder with impairment [child OR: 1.26 (95% CI: 1.05, 1.52); adolescent OR: 1.33 (95% CI: 1.05, 1.68)]. In addition, compared with food-secure households, youth in very-low-food-secure households had higher odds of having a mental disorder with severe impairment [child OR: 2.55 (95% CI: 1.90, 3.43); adolescent OR: 3.44 (95% CI: 2.50, 4.75)].

CONCLUSIONS

The severity of household food insecurity is positively associated with mental disorders among both children and adolescents in the United States. These results suggest that improving household food security status has the potential to reduce mental disorders among US youth.

Estimating the prevalence of any impairing childhood mental disorder in the national health interview survey

This study investigates whether the six-item Strengths and Difficulties Questionnaire SDQ (five symptoms and one impact item) included in the National Health Interview Survey (NHIS) can be used to construct models that accurately estimate the prevalence of any impairing mental disorder among children 4-17 years old as measured by a shortened Child/Adolescent or Preschool Age Psychiatric Assessment (CAPA or PAPA). A subsample of 217 NHIS respondents completed a follow-up CAPA or PAPA interview. Logistic regression models were developed to model presence of any child mental disorder with impairment (MDI) or with severe impairment (MDSI). Models containing only the SDQ impact item exhibited highly biased prevalence estimates. The best-performing model included information from both the five symptom SDQ items and the impact item, where absolute bias was reduced and sensitivity and concordance were increased. This study illustrates the importance of using all available information from the six-item SDQ to accurately estimate the prevalence of any impairing childhood mental disorder from the NHIS. Copyright © 2015 John Wiley & Sons, Ltd.