Analyzing Trends in Mental and Behavioral Health Support for Children: A Comprehensive Study Using National Survey of Children's Health Database.

Objective This study aimed to explore mental and behavioral health support trends for children aged 3-17, analyzing treatment and counseling using United States data from the 2016-2020 National Survey of Children's Health (NSCH) database. Methods Employing a retrospective observational design, we systematically retrieved and analyzed NSCH Database data from 2016 to 2020. The focus was on understanding mental and behavioral health treatment percentages over time, specifically targeting demographic variations such as age groups, gender, race/ethnicity, and the federal poverty level percentage. Graphical representation utilized Excel, summarizing results based on aggregated data for distinct time intervals, highlighting the importance of mental and behavioral health support for children aged 3-17. Results The study identified significant temporal trends in mental and behavioral health treatment, revealing notable fluctuations across demographic and socio-economic variables. Of the 22,812 participants, 51.7% (CI: 50.2-53.1%, n=12,686) received treatment, exposing disparities. Gender differences were evident, with higher treatment rates in females (53.7%, CI: 51.6-55.9%, n=6,166) than males (50.1%, CI: 48.2-52.0%, n=6,520). Age-specific patterns indicated lower intervention rates in younger children (33.5%, CI: 28.6-38.8%, n=447, ages 3-5) compared to adolescents (58.1%, CI: 56.2-59.9%, n=8, 222 ages 12-17). Conclusion The conclusion highlights significant temporal fluctuations and pronounced demographic disparities. Findings underscore varying prevalence rates among age groups, genders, racial/ethnic backgrounds, and socio-economic status categories. This study provides valuable insights for policymakers, healthcare professionals, and researchers, informing targeted interventions to enhance mental and behavioral health support for United States children.

Association of Bullying Victimization With Suicide Ideation and Attempt Among School-Going Adolescents in Post-conflict Liberia: Findings From the Global School-Based Health Survey.

Background School-based bullying is a global problem that negatively impacts the victims' and perpetrators' health and well-being. There is a paucity of data regarding bullying in schools and its association with suicide behaviors among adolescents in Liberia. Objective The study investigated the impact of bullying victimization on suicidal thoughts and suicide attempts among adolescents in Liberia. It aimed to provide insights into the consequences of bullying victimization on adolescents' mental health regarding their thoughts of self-harm and suicide attempts. Methods The study utilized data from the 2017 Liberia Global School-based Health Survey (GSHS) to analyze information on 2744 students between the ages of 11 and 18 years, with 52.4% being males. Prevalence rates of bullying victimization and suicide behaviors were calculated using descriptive statistics. Multiple logistic regressions were used to model the relationship between being bullied and experiencing suicidal behaviors (ideation and attempts). Results Among the 2744 adolescents examined, 20% experienced suicidal thoughts, with about 30% of the adolescents reporting suicide attempts at some point in the year preceding the survey. Within 30 days prior to the survey, the prevalence of bullying victimization was 50%, with 44.9% experiencing frequent victimization (3 or more days). Bullying victimization was significantly linked to increased odds of suicidal ideation with planning (aOR: 1.86; P < 0.001), at least a suicide attempt (aOR: 2.16; P < 0.001), and multiple attempts at suicide (aOR: 2.67; P < 0.001). We also observed that a greater number of days bullied was dose-dependently associated with higher odds for suicide ideation and attempts. Conclusion These findings support and extend those from other developing countries, highlighting the association between school-based bullying and suicidal behaviors. The relatively high prevalence of bullying among adolescents in Liberia underscores the importance of implementing effective anti-bullying policies and suicide prevention strategies in schools.

Exploring the Prevalence and Factors Influencing Clinical Trial Awareness in US Adults with Self-Reported Depression and Anxiety.

OBJECTIVE: Lack of clinical trial awareness is a crucial barrier to clinical trial enrollment. The objective of this study was to examine the prevalence and factors associated with clinical trial awareness among US adults with self-reported depression and anxiety. METHODS: Data were collected from 896 adults who self-reported depression and anxiety from the 2020 Health Information National Trends Survey. Multinomial logistic regression was utilized to assess predictors of clinical trial awareness, particularly socio-demographic, health-related, and technological variables. Odds ratios (OR) for the associations were reported. RESULTS: About 60.4% of adults with self-reported depression or anxiety reported being aware of clinical trials. In the multivariable regression, education level, health-related social media use, and having access to a regular provider were all significantly associated with greater odds of clinical trial awareness among individuals with depression and/or anxiety. Specifically, individuals with at least some college education (OR 2.07, 95% confidence interval (CI); 1.28-3.34; p ​= ​0.004) were more likely to report awareness of clinical trials than those with less than a college education. Similarly, compared to those without access to health providers, individuals with depression and/or anxiety who had a regular provider had greater odds of clinical trial awareness (OR 2.23, 95% CI; 1.16-4.31; p ​= ​0.017). Additionally, those who reported two or more health-related uses of social media were significantly more likely to report clinical trial awareness than their counterparts who reported no health-related social media use (OR 3.17, 95% CI; 1.48-6.80; p ​= ​0.004). CONCLUSION: Our study shows that about six in 10 adults with depression and anxiety in the United States were aware of clinical trials. However, some sub-groups of patients, particularly those without access to a regular health provider, those with a lower education level, and those with limited use of social media for health purposes, remain inadequately informed and may lack awareness of available clinical trials. These findings are crucial and identify subgroups of people with mental disorders that may benefit from targeted interventions to improve clinical trial awareness.

Attention-Deficit Hyperactivity Disorder Among American Youth: A Comprehensive 20-Year Analysis of National Center for Health Statistics (NCHS) Data.

BACKGROUND: Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental condition that has a significant impact on the lives of children and adolescents. This study conducts a comprehensive 20-year analysis of data from the National Center for Health Statistics (NCHS) to investigate the prevalence of ADHD among American youth, as well as its demographic patterns and socioeconomic determinants. METHODS: A retrospective analysis of NCHS data spanning from 1997 to 2018 was carried out. The dataset included information on ADHD diagnoses, demographic characteristics (such as age, gender, and race/ethnicity), socioeconomic indicators (including poverty level and health insurance status), and temporal variables. A range of statistical analyses were performed, encompassing temporal trend analysis, demographic assessments, and socioeconomic examinations. RESULTS: It was consistently observed that boys had a higher prevalence of ADHD (12.93% compared to 5.61%), aligning with established trends. Among adolescents aged 10-17, the prevalence was the highest at 11.09%, while for the 5-9 age group, it stood at 6.57%. In terms of racial and ethnic groups, individuals identifying as two or more races exhibited the highest prevalence at 12.36%, followed by white (9.83%), black or African American (10.09%), Hispanic or Latino (5.36%), and non-Hispanic or Latino (10.64%). Socioeconomic disparities were evident, with a prevalence of 11.41% among those living below the poverty line, compared to 10.6% (100%-199% of the poverty line), 8.6% (200%-399%), and 8.39% (400% or more). Medicaid beneficiaries had the highest prevalence at 12.57%, followed by those with private insurance (9.65%), insured (8.11%), and uninsured (5.83%). CONCLUSION: These findings underscore the intricate relationship between ADHD prevalence and demographic and socioeconomic factors. It is imperative to address these disparities to ensure equitable assessment and intervention for ADHD, taking into account cultural influences, determinants of health tied to socioeconomic status, and access to healthcare for all children. This analysis by the NCHS provides essential insights into ADHD among American youth, emphasizing the necessity for tailored interventions, equitable healthcare access, and further research to comprehensively address this complex neurodevelopmental disorder.

Association Between the Use of Wearable Devices and Physical Activity Among US Adults With Depression and Anxiety: Evidence From the 2019 and 2020 Health Information National Trends Survey.

Objective The objective of this study was to examine the relationship between wearable device (WD) use and physical activity (PA) levels among US adults with self-reported depression and anxiety. Methods Data were pooled from 2026 adults who self-reported depression and anxiety from the 2019 and 2020 Health Information National Trends Survey. The explanatory variable was WD use, and the outcomes were weekly PA levels and resistance strength training. Logistic regression was conducted to investigate the association between WD and PA parameters. Results About 33% of adults with self-reported depression/anxiety reported WD use. Only 32.5% and 34.2% of the population reported meeting the weekly recommended levels of physical activity (≥150 minutes/week) and strength and resistance exercise (≥2 times weekly), respectively. In adjusted analyses, the use of WD was not associated with meeting the national weekly recommendation for physical activity (OR 1.38, 95% CI (0.94, 2.04); p=0.10) or resistance strength training (OR 1.31, 95% CI (0.82, 2.08); p=0.26). Further exploratory analysis also showed that physical activity levels did not differ with the frequency of WD use. Conclusion Despite the popularity of WD use among people with mental disorders, we found that use of WD was not associated with increased physical activity measures, suggesting that although there is a promise for these tools to augment mental health, their real-world effectiveness in promoting physical activity in people with mental disorders remains to be proven.

Trends of Cardiovascular Interventions Stratified by Body Mass Index: An Analysis of the 2016-2020 Nationwide Inpatient Sample Population.

Background There is a scarcity of studies delineating the trends of cardiovascular interventions in the hospitalized population stratified by body mass index (BMI). Our study aimed to study the burden of cardiovascular interventions and outcomes by BMI. Methods We retrospectively analyzed the Nationwide Inpatient Sample (NIS) database between January 2016 and December 2020. We identified the population of interest using the International Classification of Diseases, Tenth Revision (ICD-10) code. We studied the BMI in five categories: "healthy weight" (HW; BMI < 19.9-24.9 kg/m2), "overweight" (OV; BMI = 25-29.9 kg/m2), "obesity class one" (OB1; BMI = 30-34.9 kg/m2), "obesity class two" (OB2; BMI = 35-39.9 kg/m2), and "obesity class three" (OB3; BMI > 40 kg/m2). Results There were 5,654,905 hospitalizations with an ICD-10 code related to BMI within this study period. The HW group had 1,103,659 (19.5%) hospitalizations, the OV group had 462,464 (8.2%), the OB1 group had 1,095,325 (19.4%), the OB2 group had 1,036,682 (18.3%), and the OB3 group had 1,956,775 (34.6%) hospitalizations. The mean age of the population with obesity was as follows: OB1 = 61 years (SD = 16); OB2 = 58 years (SD = 15.9); and OB3 = 55 years (SD = 15.5). The mean ages of the HW and OV groups were 68 years (SD = 16.6) and 65 years (SD = 16.1), respectively. In the HW group, there were 948 (8.1%) hospital admissions for aortic valve replacement (AVR), 54 (11%) for aortic valve repair (AVRr), 737 (15.9%) for mitral valve replacement (MVRr), 12 (17.1%) for mitral valve repair (MVR), 79 (2.2%) for left atrial appendage (LAA) closure, and 3390 (5.2%) for percutaneous coronary intervention (PCI). The OV group had 1049 (8.9%) hospital admissions for AVRs, 42 (9%) for AVRr, 461 (10%) for MVRr, four (5.7%) for MVR, 307 (8.6%) for LAA closure, and 5703 (8.8%) for PCIs. The OB1 group had 3326 (28.4%) hospital admissions for AVR, 125 (26.9%) for AVRr, 1229 (26.7%) for MVRr, 23 (32.9%) for MVR, 1173 (32.9%) for LAA, and 20,255 (31.3%) for PCI, while the OB2 group had 2725 (23.3%) hospital admissions for AVR, 105 (22.6%) for AVRr, 898 (19.4%) for MVRr, 11 (15.7%) for MVR, 933 (26.2%) for LAA, and 16,773 (25.9%) for PCI. Lastly, the OB3 group had 3626 (31%) hospital admissions for AVR, 139 (29.9%) for AVRr, 1285 (27.8%) for MVRr, 20 (28.6%) for MVR, 1063 (29.9%) for LAA, and 18,589 (28.7%) for PCI. Conclusion Our study supports the evidence of increased cardiovascular interventions with increasing BMI. Albeit, an inconsistent presentation across the spectrum of cardiovascular diseases and outcomes, for example, equal or better outcomes in obese cohorts compared to the healthy weight population undergoing PCI. However, the increasing cardiovascular intervention burden in the youngest studied population suggests a rise in the cardiovascular disease burden among the young and partially explains their better outcomes. Steps to include weight management for these patients are paramount.