Food insecurity and childhood outcomes: a cross-sectional analysis of 2016-2020 National Survey of Children's Health data.

CONTEXT: Racial inequalities across social determinants of health (SDOHs) are often influenced by discriminatory policies that reinforce systems that further uphold these disparities. There is limited data describing the influence of food insecurity (FI) on childhood racial discrimination. OBJECTIVES: Our objective was to determine if the likelihood of experiencing racial discrimination was exacerbated by FI. METHODS: We conducted a cross-sectional analysis of the 2016-2020 National Survey of Children's Health (NSCH) to extract data on childhood racial discrimination and food security. We extracted sociodemographic variables to utilize as controls and constructed logistic regression models to determine associations, via odds ratios (ORs), between food security and whether the child experienced racial discrimination. RESULTS: We found statistically significant associations between experiencing FI and childhood racial discrimination. Individuals who experienced food shortages were significantly more likely to experience racial discrimination compared to those without food limitations when controlling for race, food voucher usage, age, and % federal poverty guidelines (FPG, adjusted odds ratio [AOR]: 3.34; 95 % CI: 2.69-4.14). CONCLUSIONS: Our study found that parents of minority children all reported high rates of racial discrimination, which was exacerbated by concurrent FI. Children of families that were the most food insecure reported the highest percentage of racial discrimination at 11.13 %, compared with children who always had enough nutritious meals to eat at 2.87 %. Acknowledging the intersection that exists between FI, race, gender, and socioeconomic status (SES), might be a way forward in addressing the adverse health effects experienced by food-insecure children and adults.

The impact of adverse childhood events on service support and educational outcomes of children who are autistic: A theory-guided analysis using structural equation modeling.

Autistic children who have experienced adverse childhood experiences (ACEs) may have barriers to receiving special education or other developmental services-thus, impacting educational outcomes. Our objective was to model such a pathway using the 2016-2021 National Survey of Children's Health datasets. We extracted data for school outcomes, use of special education and autism-related specialty services and sociodemographic characteristics among autistic children within the data. Associations between sociodemographics and ACEs (categorized as 0, 1-3, and 4+) were tested using design-based X2 tests. We then used structural equation modeling to map the quasi-causal pathways. The sample for our analysis included 4717 autistic children-38.94% were aged 6-10 years, 35.73% of children aged 11-14 years, and 25.32% were between 15 and 17 years-with 88.70% living in metropolitan areas. The X2 showed significant relationships between ACEs and age, ethnoracial groups, and urbanicity among others. The SEM showed ACEs were directly associated with poorer school outcomes (ß = -0.14 (0.04), p = 0.002) and through their inverse relationship with support services (ß = -0.08 (0.04), p = 0.023)- when support services were increased, school outcomes improved (ß = 0.62, p < 0.001). Findings suggested ACEs have a significant direct and indirect impact on school outcomes of autistic children, and 10.76% of children who are autistic have experienced four or more ACEs-which were more likely to occur with severe autism symptomatology and in rural areas. Results highlight the need for communities to recognize the potential long-term impact of ACEs on the academic outcomes of autistic children.

Association of Depression, Comorbidities, and Sociodemographic Factors among Home Healthcare Recipients.

OBJECTIVES: More than 15 million individuals receive home health care (HHC) for chronic conditions, which allows them to maintain a level of independence and self-sufficiency. Although poor mental health can negatively impact health outcomes, little research has been done on the mental health of these individuals. METHODS: Utilizing National Health Interview Survey years 2019-2022, we ran a cross-sectional analysis to determine rates of depression among individuals who indicated that they utilized HHC services, based on their sociodemographic statuses and diagnosis, as well as their rate of depression by condition whether they utilized HHC services. RESULTS: HHC recipients were significantly more likely to be depressed if they reported being female, age 55-64, low income, low educational attainment, American Indian/Alaskan Native, Hispanic, or lived in a rural area. HHC recipients were more likely to be depressed than their non-HHC recipient counterparts. CONCLUSIONS: These results underscore the need for integrated mental health care in home health. Further, the financial burden of HHC, which may have an additional impact on stress, emphasizes the need for expanded accessibility of these services. CLINICAL IMPLICATIONS: General practitioners and home health professionals should inquire about mental health concerns of these care recipients, and treat or refer accordingly.

Association and disparities of food insecurity and exposure to violence: analysis of the National Survey of Children's Health.

CONTEXT: Lack of access to food is a significant concern for child well-being, and it creates many health disparities and adverse social outcomes. Food insecurity and its many associated risk factors increase parental stress, which are strongly correlated with an increased risk of child abuse and maltreatment. Research now identifies being witness to domestic abuse as a form of child maltreatment, and exposure to violence in the community has been shown to result in similar long-term impacts. OBJECTIVES: Given the potential for lifelong adverse effects from experiencing adverse childhood events involving violence and food insecurity, our primary objective was to assess the relationship between the two and disparities among demographic factors. METHODS: We conducted an observational study utilizing data from the National Survey of Children's Health (NSCH) 2016-2021. The NSCH is a United States nationally representative survey completed by primary caregivers of one child per home aged 0-17 years. We determined population estimates (n=216,799; n=83,424,126) and rates of children experiencing food insecurity and parent-reported exposure to violence. We then constructed logistic regression models to assess associations, through odds ratios (ORs), between food security and exposure to violence including demographic factors. RESULTS: Among the sample, 5.42 % of children experienced low food security and 7.4 % were exposed to violence. The odds of exposure to violence are 5.19 times greater for children with low food security compared to food-secure children (95 % confidence interval [CI]: 4.48-6.02). Indigenous and Black children were 7.8 and 6.81 times more likely to experience or witness violence when food insecure compared to food secure White children, respectively (95 % CI: 3.18-19.13, 5.24-8.86 respectively). CONCLUSIONS: Food insecurity was associated with increased odds of children experiencing and/or witnessing violence compared to those who were food secure. The interaction between exposure to violence and food insecurity also disproportionately impacts children with specific demographic factors, notably race/ethnicity including multiracial, Indigenous, and Black children. By developing and adapting strategies to improve food security, it is possible to indirectly reduce the rates of childhood exposure to violence and the long-term impacts that result.

Comparing Self-Reported and Aggregated Racial Classification for American Indian/Alaska Native Youths in YRBSS: 2021.

Objectives. To identify how race and ethnicity were reclassified with survey variables for children self-reporting as American Indian/Alaska Native (AI/AN) using the 2021 Youth Risk Behavior Surveillance System (YRBSS). Methods. We conducted a cross-sectional analysis of the US Centers for Disease Control and Prevention's 2021 YRBSS. YRBSS collects behaviors and demographics of students in grades 9 through 12, including race and ethnicity via self-report, and then reclassifies data into a "raceeth" variable. To examine the classification of AI/AN in YRBSS, we compared AI/AN composition between self-report and raceeth variables. Results. A total of 816 adolescents self-reported as AI/AN alone (145; 17.70%), AI/AN alone with Hispanic/Latino background (246; 30.15%), or AI/AN in combination with 1 or more race (425; 52.08%). Of those, only 145 were classified as being AI/AN in the calculated raceeth variable. With YRBSS survey weighting, the percentage of AI/AN in the raceeth variable was 13.4%. Conclusions. Misclassification, noncollection, or the use of categories such as "other" and "multirace" without allowing disaggregation can misrepresent disease burden, morbidity, and mortality. Consequently, it is critical to disaggregate data to adequately capture race/ethnicity in self-report surveys and data sources. (Am J Public Health. 2024;114(4):403-406. https://doi.org/10.2105/AJPH.2023.307561).

Use of person-centered language in obesity-related publications across sports medicine journals: a systematic review of adherence to person-centered language guidelines in sports medicine.

CONTEXT: Stigmatizing language or non-person-centered language (non-PCL) has been shown to impact patients negatively, especially in the case of obesity. This has led many associations, such as the American Medical Association (AMA) and the International Committee of Medical Journal Editors (ICMJE), to enact guidelines prohibiting the use of stigmatizing language in medical research. In 2018, the AMA adopted person-centered language (PCL) guidelines, including a specific obesity amendment to which all researchers should adhere. However, little research has been conducted to determine if these guidelines are being followed. OBJECTIVES: Our primary objective was to determine if PCL guidelines specific to obesity have been properly followed in the sports medicine journals that are interacted with most frequently. METHODS: We searched within PubMed for obesity-related articles between 2019 and 2022 published in the top 10 most-interacted sports medicine journals based on Google Metrics data. A predetermined list of stigmatizing and non-PCL terms/language was searched within each article. RESULTS: A total of 198 articles were sampled, of which 58.6 % were found to be not compliant with PCL guidelines. The most common non-PCL terms were "obese" utilized in 49.5 % of articles, followed by "overweight" as the next most common stigmatizing term at 40.4 %. Stigmatizing labels such as "heavy, heavier, heaviness," "fat" as an adjective, and "morbid" appeared in articles but at a lower rate. CONCLUSIONS: Our study shows that there is a severe lack of adherence to PCL guidelines in the most-interacted sports medicine journals. Negative associations between stigmatizing language and individuals with obesity will only persist if a greater effort is not made to change this. All journals, including the most prestigious ones, should adopt and execute PCL guidelines to prevent the spread of demeaning language in the medical community.

Associations of social determinants of health and childhood obesity: a cross-sectional analysis of the 2021 National Survey of Children's Health.

CONTEXT: Childhood obesity is a growing health problem in the United States, with those affected having an increased likelihood of developing chronic diseases at a younger age. Social determinants of health (SDOH) are known to influence overall health. Families who are of low socioeconomic status (SES) have also been shown to be more likely to experience food insecurity. OBJECTIVES: Our primary objective was to utilize the National Survey of Children's Health (NSCH) 2021 data to determine the current associations between childhood obesity and SDOH. Secondarily, we estimated the prevalence of select SDOH among children with obesity. METHODS: We conducted a cross-sectional analysis of 2021 NSCH to extract data related to the SDOH domains. We extracted sociodemographic variables to utilize as controls and constructed logistic regression models to determine associations, via odds ratios, between SDOH and childhood obesity. RESULTS: Within the binary regression models, children with obesity (≥95th percentile) were more likely than children without obesity to experience SDOH in all domains. After controlling for sociodemographic variables, children with obesity were significantly more likely to experience food insecurity when compared to children without obesity (adjusted odds ratio [AOR]=1.39; 95 % confidence interval [CI]: 1.13-1.17). CONCLUSIONS: In line with the current American Academy of Pediatrics (AAP) Clinical Practice Guidelines (CPG), improving policies for nutrition programs and addressing the lack of access to nutritious foods may alleviate some food insecurity. Ensuring that children have access to sufficient nutritious foods is critical in addressing childhood obesity and thus decreasing risk of chronic disease.

Delayed discovery: the COVID-19 pandemic's influence on osteoarthritis clinical trials.

CONTEXT: The COVID-19 pandemic disrupted clinical research in many medical and surgical fields, resulting in research waste and loss of treatment for patients. Although other areas have been explored, the extent of the pandemic's influence on osteoarthritis (OA) trials is currently unknown. OBJECTIVES: This study aims to explore the reasons for termination of clinical trials investigating OA during the COVID-19 pandemic. METHODS: We searched ClinicalTrials.gov for OA trials and characterized their reason for discontinuation, noting where trialists directly cited the COVID-19 pandemic as the reason for trial discontinuation. We also coded other common reasons for trial discontinuation. Descriptive and inferential statistics were performed to determine the difference in enrollment, funding source, trial phase, allocation, and intervention type between the trials terminated early due to pandemic and nonpandemic reasons. RESULTS: Out of 135 clinical trials, 119 were included and 27 (22.7 %) of them reported the COVID-19 pandemic as a primary reason for discontinuation, which was the overall most common reason for OA trial discontinuation during the study period. We found statistically significant differences for trials discontinued due to pandemic vs. non-pandemic-related reasons, with trials having sites outside the United States, randomized allocation, and drug or device intervention type being most affected. However, there was no statistically significant difference between groups regarding trial phase, funding source, or enrollment. CONCLUSIONS: This study highlights the impact of the COVID-19 pandemic on the clinical trials related to OA. We found that many trials reported discontinuation directly due to the pandemic, which may lead to the loss or delay of novel treatments for OA. To avoid such discontinuation in the future, alternative methods for conducting OA-related clinical trials should be explored and implemented.

Social determinants of health in patients with arthritis: a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System.

CONTEXT: Social determinants of health (SDOH) are economic, social, and political conditions that affect a person's overall health or the health of a group of people. Researchers have investigated the effects of SDOH on various diseases, such as asthma, obesity, and chronic stress, but few publications have been made regarding its effects on arthritis. OBJECTIVES: Our primary objective was to analyze the implications of SDOH on disease severity relating to pain levels and limitations experienced among people with diagnosed arthritis. METHODS: We performed a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System (BRFSS). We included individuals who reported having arthritis, were over the age of 45, and who also completed the SDOH module. Pain scores from the four-question Arthritis Burden Module were correlated to question responses pertaining to SDOH to determine their associations. RESULTS: For the analysis, our sample size was 25,682, with response rates varying slightly among the SDOH questions. Individuals diagnosed with arthritis were more likely to report functional limitations if they experienced food insecurity (χ2=234.0, p<0.001), financial instability (χ2=149.7, p<0.001), or frequent stress (χ2=297.6, p<0.001). Further, we found that individuals with arthritis experiencing any domain of SDOH reported higher mean pain scores than those not experiencing that domain, with the highest pain score difference among those reporting frequent stress (Coefficient: 1.93, CI=1.74-2.13, t=19.43, p<0.001). CONCLUSIONS: Our results show that SDOH profoundly impact pain levels and limitations experienced by patients with arthritis. Although work has already begun to help alleviate burdens associated with SDOH, more research and actions are required to create equitable health throughout the population.

Association between steroid use and concussions among high school athletes: a cross-sectional analysis of the Youth Risk Behavior Surveillance System.

CONTEXT: In 2017, there were almost 2.5 million high school students who experienced a concussion while playing a sport, raising concern for the neurologic problems that they could face. Some of these athletes may seek to gain a competitive advantage in their sport by utilizing substances like steroids. However, steroid use can cause increased aggression and body mass index (BMI), which might lead to heightened risk for concussions. Despite extensive research, we found no previous evidence linking these two factors. OBJECTIVES: This analysis aims to investigate steroid use trends in high school athletes and to determine whether there is an association between steroid use and concussions in these athletes. METHODS: We conducted a cross-sectional analysis of the cumulative Youth Risk Behavior Surveillance System (YRBSS). Respondents were added if they participated in sports and answered the steroid and concussion prompts. Demographic variables were assessed including age, grade, BMI, gender, and race/ethnicity. RESULTS: We found that 3.7 % (n=2991) of high school athletes reported previous steroid use and that 20.7 % (n=2273) reported having sustained a concussion. There was a statistically significant difference in steroid use by race/ethnicity (p<0.001), with the highest rate of use (7.2 %) among American Indian/Alaska Natives (AI/AN). A significantly higher prevalence of steroid use occurred in athletes who were males (4.7 %) than females (2.5 %) and in athletes with a BMI>95 % (5.2 %) compared with those with a BMI between 85 and 95 % (3.9 %) and <85 % (3.5 %) (χ2=135.1, p<0.001 and χ2=16.3, p<0.001, respectively). Further, our results showed that the prevalence of steroid use among high school athletes decreased from 3.4 % in 1999 to 1.9 % in 2019, with the most drastic drop occurring between 2015 and 2019-declining 1.9 %. Whereas 19.6 % of athletes reported a concussion without steroid use, 54.6 % of steroid-utilizing athletes reported having experienced a concussion-a statistically significant finding (adjusted odds ratio [AOR]=4.3; 95 % CI: 3.2-5.9). Finally, compared with White athletes, we found that AI/AN athletes were significantly more likely to have sustained a concussion (AOR=2.3; 95 % CI=1.2-4.3). CONCLUSIONS: Although our study found decreasing rates of steroid use among high school athletes from 1999 through 2019, our results also show that steroid use is significantly associated with sustaining a concussion. Additionally, the data from YRBSS also demonstrates that AI/AN high school athletes are more likely to utilize steroids and sustain a concussion. Given the long-term consequences of traumatic brain injuries, we recommend that coaches should be aware of potential steroid use among players, and that coaches, athletic trainers, and physicians should all be aware of concussion protocols and remove players from games for evaluation when a concussion is suspected.

Disparities in preconception health indicators in U.S. women: a cross-sectional analysis of the behavioral risk factor surveillance system 2019.

OBJECTIVES: Optimized preconception care improves birth outcomes and women's health. Yet, little research exists identifying inequities impacting preconception health. This study identifies age, race/ethnicity, education, urbanicity, and income inequities in preconception health. METHODS: We performed a cross-sectional analysis of the Center for Disease Control and Prevention's (CDC) 2019 Behavioral Risk Factor Surveillance System (BRFSS). This study included women aged 18-49 years who (1) reported they were not using any type of contraceptive measure during their last sexual encounter (usage of condoms, birth control, etc.) and (2) reported wanting to become pregnant from the BRFSS Family Planning module. Sociodemographic variables included age, race/ethnicity, education, urbanicity, and annual household income. Preconception health indicators were subdivided into three categories of Physical/Mental Health, Healthcare Access, and Behavioral Health. Chi-squared statistical analysis was utilized to identify sociodemographic inequities in preconception health indicators. RESULTS: Within the Physical/Mental Health category, we found statistically significant differences among depressive disorder, obesity, high blood pressure, and diabetes. In the Healthcare Access category, we found statistically significant differences in health insurance status, having a primary care doctor, and being able to afford a medical visit. Within the Behavioral Health category, we found statistically significant differences in smoking tobacco, consuming alcohol, exercising in the past 30 days, and fruit and vegetable consumption. CONCLUSIONS: Maternal mortality and poor maternal health outcomes are influenced by many factors. Further research efforts to identify contributing factors will improve the implementation of targeted preventative measures in directly affected populations to alleviate the current maternal health crisis.

Comorbidities associated with symptoms of subjective cognitive decline in individuals aged 45-64.

CONTEXT: Early-stage cognitive decline occurs when an individual experiences memory loss or other cognitive impairment but does not meet the criteria for Alzheimer's disease (AD) or other dementias. After diagnosis of mild cognitive impairment (MCI), approximately 5-15 % of cases progress to dementia per year. AD and many other causes of dementia are presently incurable. Early recognition of cognitive decline can allow healthcare providers to reduce the risk of disease progression. Literature is scarce on factors that can increase the incidence of cognitive decline, especially in early ages; this is further exacerbated by difficulty tracking the prevalence of mild cognitive symptoms. OBJECTIVES: This analysis aims to determine demographic and comorbid factors that predispose individuals to higher rates of early-stage subjective cognitive impairment in order to determine which individuals should be screened at earlier stages. METHODS: We conducted a cross-sectional analysis of data from the Subjective Cognitive Decline module of the 2017-2021 Behavioral Risk Factor Surveillance System (BRFSS). Applying survey design and sampling weights, we constructed binary logistic regression models to assess associations, via odds ratios (OR), between comorbidities and subjective cognitive decline (SCD). Alpha was set at 0.05 and confidence intervals (CIs) are reported at 95 %. RESULTS: Our sample included 110,305 participants representing 13.4 million US adults aged 45-64 years. Results showed that individuals with diabetes (OR: 2.29, CI: 2.09-2.51), hypertension (OR: 1.98, CI: 1.81-2.17), stroke (OR: 4.61, CI: 4.07-5.22), myocardial infarction (MI [OR: 3.09, CI: 2.73-3.49]), coronary heart disease (CHD [OR: 3.26, CI: 2.88-3.69]), depression (OR: 5.65, CI: 5.21-6.11), and chronic kidney disease (CKD [OR: 3.08, CI: 2.66-3.58]) experienced higher rates of SCD. Further, there were higher rates of SCD among individuals who identified as American Indian/Alaskan Native (AI/AN), those with low educational attainment, and those with lower incomes. CONCLUSIONS: Our findings show that all comorbidities listed were correlated with higher rates of memory loss or confusion. Investigation of factors that are associated with an increased risk of developing new or worsening cognitive decline allows healthcare professionals to properly screen and treat these individuals early, before progressing to conditions that are currently incurable. Future studies into the mechanisms of these diseases in contributing to cognitive decline can illuminate specific effective treatment options.

The Reporting and Methodological Quality of Systematic Reviews Underpinning Clinical Practice Guidelines Focused on the Management of Cutaneous Melanoma: Cross-Sectional Analysis.

BACKGROUND: Clinical practice guidelines (CPGs) inform evidence-based decision-making in the clinical setting; however, systematic reviews (SRs) that inform these CPGs may vary in terms of reporting and methodological quality, which affects confidence in summary effect estimates. OBJECTIVE: Our objective was to appraise the methodological and reporting quality of the SRs used in CPGs for cutaneous melanoma and evaluate differences in these outcomes between Cochrane and non-Cochrane reviews. METHODS: We conducted a cross-sectional analysis by searching PubMed for cutaneous melanoma guidelines published between January 1, 2015, and May 21, 2021. Next, we extracted SRs composing these guidelines and appraised their reporting and methodological rigor using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and AMSTAR (A Measurement Tool to Assess Systematic Reviews) checklists. Lastly, we compared these outcomes between Cochrane and non-Cochrane SRs. All screening and data extraction occurred in a masked, duplicate fashion. RESULTS: Of the SRs appraised, the mean completion rate was 66.5% (SD 12.29%) for the PRISMA checklist and 44.5% (SD 21.05%) for AMSTAR. The majority of SRs (19/50, 53%) were of critically low methodological quality, with no SRs being appraised as high quality. There was a statistically significant association (P<.001) between AMSTAR and PRISMA checklists. Cochrane SRs had higher PRISMA mean completion rates and higher methodological quality than non-Cochrane SRs. CONCLUSIONS: SRs supporting CPGs focused on the management of cutaneous melanoma vary in reporting and methodological quality, with the majority of SRs being of low quality. Increasing adherence to PRISMA and AMSTAR checklists will likely increase the quality of SRs, thereby increasing the level of evidence supporting cutaneous melanoma CPGs.

Prevalence of depression among caregivers based on the condition and relationship of care recipient.

BACKGROUND: Caregiver distress is the strain experienced by individuals providing care for people with chronic conditions which limit their self-sufficiency for tasks of daily living. Over 1 in 5 Americans are caregivers-a number expected to increase with an aging population. METHODS: We performed a cross-sectional analysis using the 2021 Behavioral Risk Factor Surveillance System (BRFSS) conducted by the Centers for Disease Control and Prevention (CDC) to determine rates of depressive disorders among caregivers and associations between demographic and relational aspects of the care recipient. RESULTS: The included sample size for analysis was 32,676, representing 17,274,935 US caregivers. We found that caregivers who were female, American Indian/Alaskan Native, race-not-listed, earning less than $15,000 a year, or did not complete high school, had higher rates of depression diagnosis. The rates of depression were higher among caregivers if the recipient had a mental or chronic respiratory condition, or if the recipient was their live-in partner. Rates of depression were lower for caregivers of their mother-in-law or spouse. LIMITATIONS: Results were based on self-reported survey data, which are susceptible to social desirability bias. Diagnoses of depression may also be over or under reported across several demographic variables, which may confound results. CONCLUSION: Our findings add to previous research showing that specific groups of caregivers are at higher risk for caregiver stress. Future qualitative research may elucidate underlying causes of depression among caregivers. Analysis into the risk factors for depression among caregivers is vital in providing effective therapeutic options for the caregiver.

Evaluation of Quality of Systematic Reviews and Meta-Analyses Abstracts for Pediatric Strabismus Therapies.

PURPOSE: This study investigates the quality of systematic review abstracts through evaluation of Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) abstract guideline adherence, Assessment for Multiple Systematic Reviews Tool (AMSTAR) quality rating, spin, abstract word count, and abstract structure. DESIGN: Cross-sectional study. METHODS: We searched MEDLINE, Embase, and the CEV@US database for articles related to pediatric strabismus. Inclusion criteria regarding pediatric strabismus studies were required to be in English, systematic reviews and/or meta-analyses, and patients less than eighteen years of age. From the search records, two investigators independently screened titles and abstracts to locate eligible reviews and extract study characteristics using AMSTAR-2 and pilot-tested Google forms. RESULTS: Searches retrieved 545 studies, of which 14 were eligible for data extraction. We found one form of spin in 1 abstract (of 14, 7.14%) of our included studies. 11/13 (84.62%) of studies failed to mention risk of bias assessment. There was no significant association between abstract characteristics and quality of the study. We found a significant correlation between AMSTAR-2 rating and PRISMA completion. CONCLUSIONS: Overall, a positive finding was that no spin was found within the abstracts of articles for pediatric strabismus therapies. PRISMA-A adherence was strongly associated with higher quality studies and should be considered for all systematic reviews in ophthalmology. Clinical research of pediatric strabismus is significantly limited in the number of studies present, as evidenced by our data. To improve the quality of abstract reporting, efforts from authors and journals are needed.

An Evaluation of Spin in the Abstracts of Systematic Reviews and Meta-analyses on the Treatment of Psoriasis: A Cross-sectional Analysis.

Spin is a way of reporting that distorts the true findings; we sought to investigate the prevalence of spin in systematic review abstracts on psoriasis treatments and whether study characteristics were associated with spin. We searched MEDLINE and Embase to obtain our sample. Screening and data extraction were performed in a masked duplicate fashion. Each included study was evaluated for the 9 most severe types of spin and other study characteristics. The methodological quality was assessed to explore potential relationships between spin and study quality. Search queries returned 3200 articles, which included 173 systematic reviews. Spin was present in systematic review abstracts. Preventing spin is essential for improving future systematic reviews.

Associations of Combustible Cigarette, Electronic Cigarette, and Dual Use With COVID Infection and Severity in the U.S.: A Cross-sectional Analysis of the 2021 National Health Information Survey.

Given the potential respiratory health risks, the association of COVID infection and the use of combustible cigarettes, electronic nicotine delivery systems (ENDS), and concurrent dual use is a priority for public health. Many published reports have not accounted for known covarying factors. This study sought to calculate adjusted odds ratios for self-reported COVID infection and disease severity as a function of smoking and ENDS use, while accounting for factors known to influence COVID infection and disease severity (i.e., age, sex, race and ethnicity, socioeconomic status and educational attainment, rural or urban environment, self-reported diabetes, COPD, coronary heart disease, and obesity status). Data from the 2021 U.S. National Health Interview Survey, a cross-sectional questionnaire design, were used to calculate both unadjusted and adjusted odds ratios for self-reported COVID infection and severity of symptoms. Results indicate that combustible cigarette use is associated with a lower likelihood of self-reported COVID infection relative to non-use of tobacco products (AOR = .64; 95% CI [.55, .74]), whereas ENDS use is associated with a higher likelihood of self-reported COVID infection (AOR = 1.30; 95% CI [1.04, 1.63]). There was no significant difference in COVID infection among dual users (ENDS and combustible use) when compared with non-users. Adjusting for covarying factors did not substantially change the results. There were no significant differences in COVID disease severity between those of varying smoking status. Future research should examine the relationship between smoking status and COVID infection and disease severity utilizing longitudinal study designs and non-self-report measures of smoking status (e.g., the biomarker cotinine), COVID infection (e.g., positive tests), and disease severity (e.g., hospitalizations, ventilator assistance, mortality, and ongoing symptoms of long COVID).

Associations of clinical personnel characteristics and controlled substance prescribing practices.

CONTEXT: Over 68,000 deaths were attributed to opioid-related overdose in 2020. Evaluative studies have shown that states that utilized Prescription Drug Monitoring Program (PDMP) systems have decreased opioid-related deaths. With the growing use of PDMPs and an ongoing opioid epidemic, determining the demographics of physicians at risk of overprescribing can elucidate prescribing practices and inform recommendations to change prescribing behaviors. OBJECTIVES: This study aims to assess prescribing behaviors by physicians in 2021 based on four demographics utilizing the National Electronic Health Record System (NEHRS): physician's age, sex, specialty, and degree (MD or Doctor of Osteopathic Medicine [DO]). METHODS: We performed a cross-sectional study of the 2021 NEHRS to determine the relationship between physician characteristics and PDMP use on opioid-prescribing behaviors. Differences between groups were measured via design-based chi-square tests. We constructed multivariable logistic regression models to assess the relationships, via adjusted odds ratios (AOR), between physician characteristics and alternate prescribing patterns. RESULTS: Compared to female physicians, male physicians were more likely to alter their original prescription to reduce morphine milligram equivalents (MMWs) prescribed for a patient (AOR: 1.60; CI: 1.06-2.39; p=0.02), to change to a nonopioid/nonpharmacologic option (AOR: 1.91; 95 % CI: 1.28-2.86; p=0.002), to prescribe naloxone (AOR=2.06; p=0.039), or to refer for additional treatment (AOR=2.07; CI: 1.36-3.16; p<0.001). Compared to younger physicians, those over the age of 50 were less likely to change their prescription to a nonopioid/nonpharmacologic option (AOR=0.63; CI: 0.44-0.90; p=0.01) or prescribe naloxone (AOR=0.56, CI: 0.33-0.92; p=0.02). CONCLUSIONS: Our results showed a statistically significant difference between specialty category and frequency of prescribing controlled substances. After checking the PDMP, male physicians were more likely to alter their original prescription to include harm-reduction strategies. Optimizing the use of PDMP systems may serve to improve prescribing among US physicians.