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.

COVID-19 Vaccination Rates and Predictors of Vaccine Uptake Among Adults With Chronic Obstructive Pulmonary Disease: Insights From the 2022 National Health Interview Survey.

Background and objective The coronavirus disease 2019 (COVID-19) vaccination rates and predictors of vaccine uptake among patients with chronic obstructive pulmonary disease (COPD) in the United States are unknown. In light of this, we assessed COVID-19 vaccination rates in this population and evaluated predictors of vaccine uptake. Methods Using 2022 survey data from the National Health Interview Survey (NHIS), 1486 adults with COPD who responded with "yes/no" to whether they had received the COVID-19 vaccine were identified, including those who had received booster doses. A chi-square test was used to ascertain differences between those who had received the vaccine and those who had not, as well as between those who had received booster doses and those who had not. A logistic regression was used to evaluate predictors of COVID-19 vaccination uptake. Results A total of 1195 individuals among 1486 respondents with chronic pulmonary disease (78.4%) had been vaccinated against COVID-19, and 789/1195 (62.5%) had received booster shots. The majority of individuals were aged 65 years and above, exceeded the 1+ threshold for the ratio of family income to poverty (RFIP), and were covered by insurance. Positive predictors of COVID-19 vaccination were as follows: age 40 - 64 years (OR: 2.34, 95% CI: 1.31 - 4.19; p=0.004) and 65 years and above (OR: 1.93, 95% CI: 1.36 - 2.72; p<0.001), RFIP threshold of ≥1 (OR: 2.02, 95% CI: 1.42 - 2.88; p<0.001), having a college degree (OR: 1.92, 95% CI: 1.92 - 3.26, p=0.016), and being insured (OR: 3.12, 95% CI: 1.46 - 6.66, p=0.003). The current smoking habit negatively predicted the uptake (OR: 0.54, 95% CI: 0.33 - 0.87, p=0.012). The positive predictors of COVID-19 vaccination boosters were as follows: age 40 - 64 years (OR: 2.72, 95% CI: 1.39 - 5.30, p=0.003) and 65 years and above (OR: 4.85, 95% CI: 2.45 - 9.58, p<0.001). Being from the non-Hispanic (NH) black ethnicity negatively predicted receiving the COVID-19 booster (OR: 0.55, 95% CI: 0.36 - 0.85, p=0.007). Conclusions While COVID-19 vaccination rates are fairly satisfactory in COPD patients, the uptake of booster vaccines is relatively lower in this population. Socioeconomic and behavioral factors are associated with poor vaccine uptake, and targeted interventions should be implemented to address these factors.

Effectiveness of Single Fetal Membrane Sweeping in Reducing Elective Labor Induction for Postdate Pregnancies (38+0 to 40+6 Weeks): A Randomized Controlled Trial.

BACKGROUND:  Postdate pregnancy is characterized by a heightened risk for both maternal and perinatal complications. Owing to the risks, clinicians frequently turn to elective labor induction as a management strategy for postdate pregnancies. However, patients are increasingly informed and apprehensive about this approach and its associated risks. This has prompted a search for alternative management methods that may encourage spontaneous labor in pregnant women. One such approach is the use of fetal membrane sweeping, a method known to increase the likelihood of spontaneous labor onset. Yet, it remains unclear whether a single fetal membrane sweeping procedure can effectively reduce the need for elective labor induction in postdate pregnancies while minimizing risks to both the mother and fetus. OBJECTIVES: The primary objective of this study was to assess the efficacy of a single fetal membrane sweeping procedure conducted between 38+0 and 40+6 weeks of gestation in reducing the rate of elective labor induction among postdate pregnancies at Central Hospital Benin City, Nigeria. Secondary objectives included evaluating the impact of membrane sweeping on maternal and perinatal outcomes. METHODOLOGY: This open-label superiority randomized controlled study was carried out from June 2020 to March 2021, following ethical approval from the Hospital Management Board (HMB). One hundred and forty eligible participants, without contraindications to vaginal delivery, were randomly assigned to one of two groups. The first group received a single fetal membrane sweeping procedure between 38+0 and 40+6 weeks of gestation, while the control group underwent vaginal examination only to assess the Bishop score. Participants were monitored until delivery. Data analysis was performed. Results were considered statistically significant at p < 0.05. RESULTS: The implementation of a single fetal membrane sweeping procedure effectively reduced the incidence of elective labor induction. Specifically, the membrane sweep group exhibited a significantly lower rate of elective labor induction compared to the control group (9.0% vs. 27.1%; p=0.0083). Moreover, a substantial proportion of the treatment group (91.4%) experienced spontaneous labor, while the control group reported a rate of 72.9%. The difference was statistically significant (p=0.0054). Notably, the control group exhibited a significantly longer mean time interval from recruitment to delivery (10.67±3.51 days) than the membrane sweeping group (3.64±4.123 days; p<0.05). Also, postdate women in the membrane sweep group were less likely to require cervical ripening with Foley's catheter than those in the control group (33.3% vs. 100%; RR: 0.33 (0.11-1.03); p=0.0057). Still, maternal satisfaction was significantly higher in the membrane-sweeping group (p<0.01). No significant differences were noted across the groups in maternal and neonatal outcomes. CONCLUSION: In low-risk term pregnancies, a single fetal membrane sweeping procedure is a superior alternative to no membrane sweeping in reducing the rate of elective labor induction for postdate pregnancies and in shortening the duration of term pregnancy.

Sociodemographic predictors of hypertensive crisis in the hospitalized population in the United States.

INTRODUCTION: Hypertensive crisis (HC) encompasses hypertensive emergencies (HE) and urgencies (HU). METHODS: A retrospective analysis of the 2016-2020 National Inpatient Sample was conducted, and all hospitalizations for HC were identified with their ICD-10 codes. A probability estimation of outcomes was calculated by performing multivariable logistic regression analysis, which took confounders into account. Our primary outcomes were SDs of HC. Secondary outcomes were myocardial infarction (MI), stroke, acute kidney injury (AKI), and transient ischemic attack (TIA). RESULTS: The minority populations were more likely than the Whites to be diagnosed with HCs: Black 2.7 (2.6-2.9), Hispanic 1.2 (1.2-1.3), and Asian population 1.4 (1.3-1.5), (p < 0.0001, all). Furthermore, being male 1.1 (1.09-1.2, p < 0.0001), those with 'self-pay' insurance 1.02 (1.01-1.03, p < 0.0001), and those in the <25th percentile of median household income 1.3 (1.2-1.3, p < 0.0001), were more likely to be diagnosed with HCs. The Black population had the highest likelihood of end-organ damage: MI 2.7 (2.6-2.9), Stroke 3.2 (3.1-3.4), AKI 2.4 (2.2-2.5), and TIA 2.8 (2.7-3.0), (p < 0.0001, all), compared to their Caucasian counterpart. CONCLUSIONS: Being of a minority population, male sex, low-income status, and uninsured were associated with a higher likelihood of hypertensive crisis. The black population was the youngest and had the highest risk of hypertensive emergencies. Targeted interventions and healthcare policies should be implemented to address these disparities and enhance patient outcomes.

Children With Special Health Care Needs: An Analysis of National Survey of Children's Health Database.

Background Children with Special Health Care Needs (CSHCN) represent a diverse pediatric population requiring healthcare services beyond typical childhood needs. This study analyzes data from the 2016-2020 National Survey of Children's Health Database to elucidate demographic patterns, prevalence rates, and nuanced factors influencing the health and well-being of CSHCN. Methods This retrospective observational study focuses on children aged 0-17 who are identified as CSHCN based on Maternal and Child Health Bureau criteria. A comprehensive analysis of the National Survey of Children's Health (NSCH) database examines key variables, including health outcomes, healthcare utilization, parental-reported health status, and socio-demographic factors. Stratified random sampling ensures national representation. Results The study encompassed 40,335 patients, revealing that 14.6% (CI: 14.0-15.3, n=6,445) of CSHCN received care in a well-functioning system. Across age groups, 19.1% (CI: 14.0-15.3, n=6,445) of CSHCN aged 0-5 received ongoing treatment, contrasting with 5.7% (CI: 5.2-6.2, n=1,599) in the 12-17 years group. Males exhibited a prevalence of 15% (CI: 14.1-15.9, n=3,674), and females had 14.2% (CI: 13.2-15.2, n=2,771). Racial disparities were noted; non-Hispanic Native Hawaiian/Other Pacific Islander children had a 3% (CI: 1.1-8.1, n=6) prevalence. Across Federal Poverty Level categories, prevalence ranged from 12.5% (CI: 11.5-13.6, n=1,753) to 17.7% (CI: 16.6-18.9, n=2,856). Notably, 18.5% (CI: 17.4-19.7, n=3,515) of children without adverse experiences were CSHCN. Among CSHCN in two-parent currently married households, 15.9% (CI: 15.0-16.8, n=4,330) received treatment, while those in unmarried households had a prevalence of 12.9% (CI: 10.5-15.7, n=335). CSHCN with parents born in the United States showed a prevalence of 15.4% (CI: 14.7-16.1, n=5,257). Conclusion This study provides valuable insights into the prevalence and demographic patterns of CSHCN. Limitations include potential recall bias and the retrospective study design. Despite these constraints, the findings lay a foundation for future research and targeted interventions, fostering a deeper understanding of the evolving landscape of pediatric healthcare in the United States.

Trends in Arthritis Prevalence and Associated Chronic Health Indicators Among Adults: Insights From the Behavioral Risk Factor Surveillance System (BRFSS) Database.

Background Arthritis is a prevalent, chronic condition with significant implications for morbidity and healthcare utilization. Understanding trends in arthritis prevalence and associated chronic health indicators is vital for informing public health interventions and healthcare policies. Objective This retrospective study aimed to analyze trends in arthritis prevalence and associated chronic health indicators among adults using data from the Behavioral Risk Factor Surveillance System (BRFSS) database. Methods This retrospective study utilized data from the BRFSS database covering 2019 to 2022. Participants included United States adults aged 18 years and older who completed BRFSS surveys during the specified period. Primary variables included arthritis prevalence and its correlation with chronic health indicators and demographics. Data collection involved standardized telephone questionnaires administered annually, with rigorous attention to data quality and consistency. Prevalence estimates were calculated using weighted proportions, and statistical analysis utilized analysis of variance (ANOVA). Results The study revealed relatively stable arthritis prevalence over the study period, with notable demographic variations. Arthritis prevalence remained stable (2019: 43.3%, 2021: 42.5%). Females consistently had higher rates than males (2019: 45%, 2021: 44.9%). Activity limitation, joint pain, and work limitation were more prevalent in arthritis patients. White, non-Hispanic individuals had higher rates than other groups. Physical inactivity increased from 2019 (29.4%) to 2022 (72.4%), particularly in males. Counseling for physical activity was lower in males. Targeted interventions are needed to address these disparities and improve arthritis management. Conclusion This study provides insights into trends in arthritis prevalence and associated chronic health indicators among United States adults. The findings underscore the importance of considering demographic factors in arthritis prevention and management strategies. Targeted interventions promoting physical activity counseling, particularly among high-risk populations, are warranted to address the rising trend of physical inactivity among individuals with arthritis.

Correction: Effect of Avocado Consumption on Risk Factors of Cardiovascular Diseases: A Systematic Review and Meta-Analysis.

[This corrects the article DOI: 10.7759/cureus.41189.].

COVID-19 Vaccination Rates and Predictors of Uptake Among Adults With Coronary Heart Disease: Insight From the 2022 National Health Interview Survey.

INTRODUCTION: COVID-19 has become a burden to all nations across the globe, and vaccination currently remains the most effective means of fighting the SARS-COV-2 pandemic. From the time of approval and subsequent distribution of the various COVID-19 vaccines, nearly 72.3% (5.5 billion) of the globe's population have been vaccinated, leaving slightly more than a quarter of the globe's population at risk. With the approval and availability of booster vaccine dosages to individuals with chronic conditions, including coronary heart disease (CHD), it is vital to comprehend the factors underlying the uptake of COVID-19 vaccination in such subgroups. Further, the American Heart Association recommends vaccination against COVID-19 in populations with coronary heart disease (CHD). This is because they are more likely to experience severe outcomes due to COVID-19 infection. This study assesses the uptake of COVID-19 vaccines as well as predictors of its uptake. METHODS: Using the 2022 survey data from the National Health Interview Survey (NHIS), 1,708 adults ≥ 40 years with CHD who responded yes/no to whether they had received the vaccine were identified. A Pearson's chi-square test was used to ascertain differences among those who had received the vaccine and those who had not. A logistic regression (multivariate regression) was used to evaluate predictors of COVID-19 vaccination. RESULTS: About 1,491/1,708 (86.8%) adults ≥ 40 years reported being vaccinated against COVID-19. Among them, 1,065/1,491 (68.4%) had received more than two vaccination doses. The predictors of COVID-19 vaccination were older age (odds ratio (OR): 2.01 (95% confidence interval (CI): 1.40-2.89), p < 0.001), ratio of family income to poverty threshold of 1 and above (OR: 2.40 (95% CI: 1.58-3.64), p < 0.001), having a college degree (OR: 3.09 (95% CI: 1.85-5.14), p < 0.001), and being insured (OR: 3.26 (95% CI: 1.03-10.26), p = 0.044). CONCLUSION: The findings of the study have indicated that 68.4% of adults 40 years and above with CHD have been vaccinated against COVID-19 and have received more than two doses of vaccines. More than half have followed recommendations and have received booster doses of the vaccine. Old age (above 40 years) and a higher socioeconomic class are associated with being more likely to follow COVID-19 vaccination guidelines. Despite the higher vaccination rate of 68.4% in the adults with heart diseases group, strategies for improving booster vaccine awareness alongside accessibility are needed to enhance additional dosage uptake, protect them against novel COVID-19 variants, and ensure the development of sustained immunity.

Ensuring Continuity of Care: Effective Strategies for the Post-hospitalization Transition of Psychiatric Patients in a Family Medicine Outpatient Clinic.

In healthcare, continuity of care is a crucial element, especially for patients in the field of psychiatry who have recently been discharged from a hospital. The shift from inpatient to outpatient care poses challenges for patients and healthcare providers, including openness to treatment, competing priorities, financial insecurity, concerns and dilemmas faced by patients regarding their post-hospitalization life after improvements in symptoms, lack of social support, poor patient-doctor relationships, lack of insight, and stigma associated with mental illness. Therefore, it is vital to employ effective strategies to ensure patients receive the required care and support during this transition. This review delves into the significance of continuity of care for psychiatric patients post-hospitalization, effective strategies for the transition, and the challenges and barriers to implementation from the perspective of a family medicine practice. To analyze physicians' role in managing psychiatric patients post-hospitalization, we developed a comprehensive search strategy. This involved extracting relevant data, updates, guidelines, and recommendations. Our search spanned various online repositories, such as PubMed and Google Scholar, specifically focusing on US-based guidelines aligned with our objectives. The search was conducted using medical subject headings (MeSH) and combinations of "OR," "AND," and "WITH." We crafted keywords to optimize our search strategy, including psychiatric illness, post-hospitalization, follow-up, follow-up care, primary care follow-up, and guidelines. Exploring online repositories yielded 132 articles, and we identified some guidelines that addressed our objectives. We established inclusion and exclusion criteria for our review and reviewed 21 papers. Post-hospitalization follow-up is a critical facet of psychiatric care, aligning with guidelines from the American Psychiatric Association and other relevant sources. Emphasizing continuity of care ensures a smooth transition from inpatient to outpatient settings, sustaining therapeutic momentum and minimizing the risk of relapse. This comprehensive approach involves careful medication management, regular mental health assessments, education on condition-specific coping strategies, and coordinated care between healthcare providers. It includes conducting risk assessments, safety planning, building social support and community integration, prompt post-hospitalization follow-up, and tailored treatment plans. Together, these measures enhance overall wellness for recently discharged patients. This holistic strategy tackles pressing short-term needs while facilitating long-term stability, promoting resilience and successful community reintegration, reducing readmission likelihood, and ultimately supporting sustained recovery.

Oral Health Considerations for Adults Aged 18 Years or More Seeking Dental Care in the Past Year: A CDC Oral Health Data Analysis.

BACKGROUND:  Oral health is an essential aspect of overall well-being, with regular dental care being fundamental to its maintenance. This study focuses on understanding dental care utilization among adults aged 18 and above who have visited a dentist or dental clinic in the past year, aiming to uncover patterns, disparities, and determinants of oral health practices within this demographic. METHODS:  Data from the U.S. Centers for Disease Control and Prevention (CDC) Oral Health dataset were utilized to conduct this analysis. The dataset encompasses a diverse and nationally representative sample of adults aged 18 and above. The study explored the proportion of adults who sought dental care between 2008 and 2020, further stratified by demographic variables including age, gender, income, education, and race. The analysis provides insights into the prevalence of dental care utilization and the role of demographic factors in shaping oral health behaviors. RESULTS:  The study found that 64.8% (n =397,291; 95% CI: 64.4 - 65.2) of adults aged 18 and above visited a dentist or dental clinic in 2020. Subgroup analysis revealed variations in dental care use by age, gender, income, education, and race. Among genders, 67.4% (n = 150,510; 95% CI: 66.9 - 67.9) of females sought care in 2020, compared to 61.9% (n = 116,535; 95% CI: 61.4 - 62.4) of males. Those earning >$50,000 had the highest proportion, 75.3% (n = 13,363; 95% CI: 74.8 - 75.8), seeking care. Among racial groups, White adults had the highest proportion, 68.4% (n = 204,486; 95% CI: 68.0 - 68.8) in 2020. In education groups, college graduates or professionals had the highest, 77.3% (n = 121,800; 95% CI: 76.8 - 77.8) in 2020. Among ages, adults aged 65+ had the highest proportion, 67.1% (n = 96,012; 95% CI: 66.4 - 67.8) in 2020. However, as age decreased, dental visit proportion generally remained within the same range. CONCLUSION:  This study enhances our understanding of dental care utilization patterns within the studied population, shedding light on disparities in oral health practices. Moreover, it provides insight into how demographic factors shape dental/oral healthcare-seeking behaviors. Ultimately, these insights guide efforts to improve oral health outcomes and well-being within this population.

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.

Epidemiology of Current Asthma in Children Under 18: A Two-Decade Overview Using National Center for Health Statistics (NCHS) Data.

OBJECTIVE:  This study conducted a comprehensive two-decade analysis of current asthma among children under 18 in the United States using National Center for Health Statistics (NCHS) data. The primary objective was to assess the prevalence of current asthma, evaluate temporal trends, and identify disparities based on gender, age, insurance status, household poverty levels, and race/ethnicity. METHODS:  Data spanning 2003-2019 from NCHS were analyzed, focusing on current asthma prevalence among children under 18. Age-adjusted prevalence rates were calculated and stratified by various factors, including gender, age groups, health insurance status, poverty levels, and race/ethnicity. RESULTS:  The study revealed substantial disparities in current asthma prevalence. Over the two-decade period, the overall prevalence of current asthma fluctuated. It increased from 2003 (8.5%) to 2009 (9.6%) and then decreased by 2019 (7.0%). Gender disparities were evident, with males (9.9%) consistently reporting a higher prevalence than females (7.5%). Older children aged between 10-17 years (10.4%) consistently had a higher prevalence of asthma than younger children aged 0-4 (5.3%) and 5-9 years (9.5%). Children with Medicaid insurance (11.2%) had the highest prevalence, followed by insured (8.9%), privately insured (7.7%), and uninsured children (6.1%). Children living below the federal poverty level (FPL) consistently reported the highest prevalence (11.3%), while children above 400% of the FPL (7.1%) had the lowest prevalence. Racial disparities were observed, with Black children (14.3%) having higher asthma prevalence, followed by White (7.6%) and Asian children (5.4%). CONCLUSION: The study highlights significant disparities in current asthma prevalence over the two-decade period analyzed. While the overall prevalence showed fluctuations, it generally increased from 2003 to 2009 and then decreased by 2019. Gender disparities were evident, with males consistently reporting a higher prevalence compared to females. Older children in the 10-17 age group consistently had a higher asthma prevalence than younger age groups. Moreover, disparities based on insurance status and income levels were also apparent, with children on Medicaid and those living below the FPL reporting higher asthma prevalence. Racial disparities were observed, with Black children having the highest prevalence, followed by White and Asian children. These findings emphasize the importance of addressing these disparities and tailoring interventions to improve asthma management and prevention across different demographic groups.

Temporal Patterns of Diabetes: Analyzing Disease Burden Among Adults Over 18 (2000-2021) Using the U.S. Diabetes Surveillance System (USDDS) Database.

Background This study investigates the temporal patterns of diagnosed diabetes cases among adults aged 18 and above in the United States from 2000 to 2021, using data from the U.S. Diabetes Surveillance System (USDDS) database. The study analyzed variations in diagnosed diabetes cases based on gender, age, education, location, and race to provide insights into the changing disease burden over two decades. Methods A retrospective observational design was employed in analyzing data from the USDDS database. The study population comprised adults aged 18 and above with diagnosed diabetes. Descriptive statistical analysis and subgroup comparisons were performed to identify temporal trends and disparities in diagnosed diabetes cases among different demographic groups. Results The study uncovered significant temporal patterns in diagnosed diabetes cases among US adults. Males consistently reported higher diabetes cases (8.44%) than females (7.45%). Variations existed among age groups, with the 65-74 age group having the highest cases (19.69%) and the 18-44 age group having the lowest cases (2.34%). Disparities by race/ethnicity were evident, with non-Hispanic black individuals (11.80%) and Hispanics (11.07%) having the highest percentages, while Asians (7.84%) and whites (6.81%) had lower rates. Distinct temporal patterns emerged based on education levels, with the less than high school education group having the highest cases (11.77%), followed by those with a high school education (8.50%), and the lowest among those with higher than a high school education (6.60%). Conclusion The study has revealed a complex and evolving landscape of this chronic disease. Over these two decades, we observed significant fluctuations, with an overall upward trend in diagnosed diabetes cases. These findings underscore the need for a multifaceted approach to tackle diabetes effectively. Tailored interventions that consider age, gender, education, and geographic location are crucial to addressing the observed disparities in diabetes prevalence.

A Comprehensive 16-Year Analysis of National Center for Health Statistics Data on the Top Three Causes of Death Before Age 75 by Sex, Race, and Hispanic Origin.

OBJECTIVE:  This study aimed to conduct a comprehensive 16-year analysis of years of potential life lost (YPLL) due to leading causes of death in the United States, focusing on disparities by sex, race/ethnicity, and specific causes of death using the National Center for Health Statistics (NCHS) data. METHODS:  Data from the NCHS spanning 2000-2016 were included. Age-adjusted YPLL rates per 100,000 population were analyzed, stratified by sex, race/ethnicity, and leading causes of death, including malignant neoplasms, heart disease, and cerebrovascular diseases. RESULTS:  Over 16 years, the total YPLL rate was 7,036.2 per 100,000 population. Males had a higher YPLL rate (8,852.5 per 100,000) than females (5,259.9 per 100,000). Among racial/ethnic groups, Black/African Americans had the highest YPLL rate (10,896.8 per 100,000), followed by American Indian/Alaska Natives (7,310.0 per 100,000), Hispanics/Latinos (5,256.8 per 100,000), and Asians/Pacific Islanders (3,279.7 per 100,000). Leading causes included malignant neoplasms (1,451.6 per 100,000), heart diseases (1,055.4 per 100,000), and cerebrovascular diseases (182.3 per 100,000). CONCLUSION: This analysis spanning 16 years highlights notable disparities in YPLL rates among different demographic groups. These differences are evident in the YPLL rates for males, which are higher than those for females. The YPLL rate is most pronounced among Black/African Americans, followed by American Indian/Alaska Natives, Hispanics/Latinos, and Asians/Pacific Islanders. The primary contributors to YPLL are malignant neoplasms, heart diseases, and cerebrovascular diseases. These findings emphasize the importance of addressing these disparities to enhance public health outcomes and mitigate the premature loss of life. Despite progress, disparities persist, highlighting the need for targeted interventions and further research.

Factors Affecting the Rate of Colonoscopy Among African Americans Aged Over 45 Years.

African Americans continue to have a low rate of colonoscopy screening despite the U.S. Preventive Services Taskforce's (USPSTF) recommendations and its proven benefits. Colonoscopy has proven to be an effective screening and therapeutic procedure. Understanding the root cause of the problem is a crucial step toward achieving the desired colonoscopy rate among this population. This paper evaluates factors that contribute to the underutilization of colonoscopy. The paper also analyzes strategies that could be maximized to increase colonoscopy rates, minimize colorectal cancer inequalities, and promote optimal colorectal health among African Americans.

The Role of Childhood Obesity in Early-Onset Type 2 Diabetes Mellitus: A Scoping Review.

Childhood obesity is a growing concern worldwide, with significant implications for public health. Of particular interest is its association with the early onset of type 2 diabetes mellitus in children. Exploring this relationship and identifying contributing factors may help strengthen understanding of this complex relationship. Factors such as family history, gender, and sedentary lifestyle, and poor dietary habits, insulin resistance in adipose tissue have been identified as significant contributors to early-onset type 2 diabetes. The rising prevalence of childhood obesity and its association with diabetes necessitates early interventions to mitigate this concerning trend and ensure a lasting impact on public health. This scoping review aims to investigate the relationship between childhood obesity and early-onset type 2 diabetes mellitus while also exploring other contributing factors. We employed a standardized framework for reviews to analyze relevant literature published in English between 2000 and 2021. Only primary research, systematic reviews, and meta-analyses addressing the association between childhood obesity and early-onset type 2 diabetes mellitus were included. The review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) format. Out of the 3614 articles assessed, 17 were ultimately incorporated into this scoping review as they met the inclusion criteria. The majority of the literature primarily represented North American studies, with no inclusion of studies from South America. The findings from these studies have highlighted several factors contributing to type 2 diabetes mellitus development. Most of the studies associated obesity development with hypertension and unfavorable lipid profiles. It is important to acknowledge that these findings are derived from the available literature and may not encompass the entirety of research on childhood obesity and early-onset type 2 diabetes mellitus. Furthermore, the limited regional diversity in the selected studies may restrict the generalizability of these findings to other geographic regions. Additional research involving diverse populations is imperative for a comprehensive understanding of the link between childhood obesity and early-onset type 2 diabetes mellitus. Insulin resistance in adipose tissue among obese individuals contributes to the transition from obesity to type 2 diabetes mellitus. Notably, this transition occurs at approximately half the duration in obese youths compared to obese adults, where it typically takes around a decade. The increasing prevalence of childhood obesity and diabetes mellitus in high-income, low-income, and middle-income countries necessitate collective efforts to reduce the increasing rates of early-onset type 2 diabetes in children. This scoping review, therefore, seeks to underscore the importance of early interventions with regard to ensuring a lasting impact capable of extending into adulthood.

Artificial Intelligence in Healthcare: Perception and Reality.

Artificial intelligence (AI) has birthed the new "big thing" in modern medicine. It promises to bring about safer and improved care that will be beneficial to patients and become a helpful tool in the hands of a skilled physician. Despite its anticipation, however, the implementation and usage of AI are still in their elementary phases, particularly due to legal and ethical considerations that border on "data." These challenges should not be brushed aside but rather be recognized and resolved to enable acceptance by all relevant stakeholders without prejudice. Once these challenges can be overcome, AI will truly revolutionize the field of medicine with improved diagnostic accuracy, a reduction in physician burnout, and an enhanced treatment modality. It is therefore paramount that AI be embraced by physicians and integrated into medical education in order to be well-prepared for our role in the future of medicine.

The Effectiveness of Nutritional Strategies in the Treatment and Management of Obesity: A Systematic Review.

Obesity, a condition primarily resulting from positive energy balance, has become a significant global health concern. Numerous studies have demonstrated that obesity is a major risk factor for various illnesses, including different types of cancer, coronary heart disease, sleep apnea, CV stroke, type II diabetes mellitus, etc. To effectively address this issue, prevention and treatment approaches to manage body weight are crucial. There are several evidence-based approaches available for the treatment and management of obesity, taking into account factors such as body mass index classification, individual weight history, and existing comorbidities. To facilitate successful obesity treatment and management, there are pragmatic approaches and tools available, including the reduction of energy density, portion control, and diet quality enhancement. These approaches encompass the use of medications, lifestyle interventions, bariatric surgery, and formula diets. Regardless of the specific method employed, behavior change, reduction of energy intake, and increased energy expenditure are integral components for successful treatment and management of obesity. These measures allow patients to personalize and customize their dietary patterns, leading to effective and sustainable weight reduction. Incorporating physical activities and self-monitoring of individual diets are effective techniques for promoting behavior change in obesity and weight management. The main objective of this systematic review is to evaluate the effectiveness of dietary/nutritional interventions in the treatment and management of obesity through provision of valuable insights into the effectiveness of such nutritional strategies. To attain this, a comprehensive analysis of various dietary approaches and their impacts on weight will be conducted.

Trends and Factors Associated With Mortality Rates of Leading Causes of Infant Death: A CDC Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) Database Analysis.

BACKGROUND: Infant mortality is a critical indicator of a nation's healthcare system and social well-being. This study explores trends and factors associated with mortality rates for three leading causes of infant death: congenital malformations, deformations, and chromosomal abnormalities; disorders related to short gestation and low birth weight, not elsewhere classified; and sudden infant death syndrome (SIDS). METHODS: Utilizing the CDC WONDER (CDC Wide-Ranging Online Data for Epidemiologic Research) database, we conducted a retrospective observational analysis of infant mortality rates and associated factors. Data encompassed multiple years, allowing for trend analysis and exploration of influencing variables. Study variables included demographic, maternal, prenatal, and leading cause as factors. RESULT: Trends in infant mortality rates varied across causes. The overall mortality rate was 2.69 per 1,000 (p=0.000) people during 2007-2020. The highest rates were observed in 2007 (3.05), 2008 (3.01), and 2009 (2.93) per 1,000 infants. For congenital malformations, deformations, and chromosomal abnormalities, the rate ranged from 1.35 to 1.12 (2007-2020). Gender-based mortality differences were subtle (male rate 2.88 per 1,000 infants, p=0.000; female infants 2.50 per 1,000 infants, p=0.000). The examination of infant mortality trends also explored maternal variables, including maternal age, education, and delivery method. The analysis revealed disparities across variables. Teenage maternal age correlated with higher mortality rates, while maternal education was associated with lower rates. Vaginal delivery (2.61 per 1,000 infants, p=0.199) showed slightly lower rates compared to cesarean section (2.86 per 1,000 infants, p=0.076). CONCLUSION: This study utilizes the CDC WONDER database and offers evidence of changing trends in infant mortality rates for the selected causes. Factors such as maternal age (30-34 years and 35-39 years), race/ethnicity (Black or African-American and White), birthplace (in hospital), and mother's education (master's degree) were identified as influencing mortality rates. These findings contribute to informed policymaking and interventions aimed at mitigating infant mortality and improving the well-being of infants and their families. Further research is needed to fully understand the underlying dynamics of these trends and factors.

Association Between Wearable Device Use and Levels of Physical Activity Among Older Adults in the US: Evidence From the 2019-2020 Health Information National Trends Survey.

Objective To examine the relationship between electronic wearable device (WD) use and physical activity (PA) levels among older adults in the US. Methods Data were pooled from 3310 older adults from the 2019 and 2020 Health Information National Trends Survey. The explanatory variable was WD use, and the outcomes were weekly PA levels, resistance training, and sedentary time. Logistic regression was conducted to investigate the association between WD use and the reported outcome variables. Separate logistic models were also fitted to explore the relationship between WD use and physical activity outcomes among a subgroup of older adults with chronic conditions. Results A total of 14.4% of older adults reported WD use. Older adults who use WD were more likely to meet national guidelines for weekly levels of PA (odds ratio (OR) 1.60, 95% confidence intervals (CI) (1.10, 2.32); p = 0.015) and resistance strength training (OR 1.54, 95% CI (1.14, 2.09); p = 0.005) when compared with their counterparts not using WD. After restricting the analysis to those with chronic conditions only, WD use was only associated with a higher level of weekly strength training (OR 1.68, 95% CI 1.19, 2.38; p = 0.004). Conclusion  WD use may be associated with increased physical activity among older adults, including those with chronic health conditions. Further studies are needed to examine the factors influencing the adoption and sustained use of WD in older adults.