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BACKGROUND: Bullying is a global public health problem with severe adverse effects on behavioral health. Understanding the predictors of victimization by bullying is essential for public policy initiatives to respond to the problem effectively. In addition to traditional in-person bullying, electronic bullying has become more prevalent due to increasing social interaction and identity formation in virtual communities. This study aims to determine the predictors of in-school and electronic bullying. METHODS: We employed multivariable logistic regression to analyze a nationally representative sample of 17,232 high school students in the United States, the 2021 Youth Risk Behavior Surveillance System national component. The survey was conducted during the COVID-19 pandemic, from September through December 2021. The factors examined included sociodemographic characteristics (age, gender, race), appearance (obesity), physically active lifestyles (being physically active, spending a long time on digital games), and risk-taking behavior (using marijuana). RESULTS: Our results indicated that sociodemographic characteristics were strong predictors of being bullied in school and electronically. Being obese is more likely to result in bullying in school (AOR = 1.32, p = 0.003) and electronically (AOR = 1.30, p = 0.004). Adolescent students showing marijuana use had higher odds of being bullied in school (AOR = 2.15, p < 0.001) and electronically (AOR = 1.81, p < 0.001). While spending a long time on digital devices raises the risk of being electronically bullied (AOR = 1.25, p = 0.014), being physically active is not associated with being bullied. Neither of the two lifestyle factors was associated with in-school bullying. CONCLUSIONS: Interventions addressing violence among adolescents can benefit from empirical evidence of risk factors for bullying victimization in high school.
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BACKGROUND: Suicide-related behaviors increasingly contribute to behavioral health crises in the United States (U.S.) and worldwide. The problem was worsened during the COVID-19 pandemic, especially for youth and young adults. Existing research suggests suicide-related behaviors are a consequence of bullying, while hopelessness is a more distal consequence. This study examines the association of in-school and electronic bullying with suicide-related behavior and feelings of despair among adolescents, adjusted for sociodemographic characteristics, abuse experience, risk-taking behaviors, and physical appearance/lifestyles. METHOD: Using Chi-square, logistic regression, and multinomial logistic regression, we analyzed the US 2019 Youth Risk Behavior Surveillance System (YRBSS) national component. The YRBSS includes federal, state, territorial, and freely associated state, tribal government, and local school-based surveys of representative sample middle and high school students in the US. The 2019 YRBSS participants comprised 13,605 students aged 12 to 18 years and roughly equal proportions of males and females (50.63% and 49.37%, respectively). RESULTS: We observed a significant association (p < 0.05) between being bullied and depressive symptoms, and the association was more vital for youth bullied at school and electronically. Being bullied either at school or electronically was associated with suicidality, with a stronger association for youth who experienced being bullied in both settings. CONCLUSION: Our findings shed light on assessing early signs of depression to prevent the formation of suicidality among bullied youth.
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Background: The coronavirus disease 2019 (COVID-19) pandemic resulted in unique programmatic opportunities to test hypotheses related to the initiation of antiretroviral treatment (ART) and viral load (VL) suppression during a global health crisis, which would not otherwise have been possible. Objectives: To generate practice-relevant evidence on the impact of initiating ART pre-COVID-19 versus during the COVID-19 pandemic on HIV VL. Method: Logistic regression was performed on data covering 6596 persons with HIV whose VL data were available, out of 36 585 persons who were initiated on ART between 01 April 2019 and 30 March 2021. Results: After controlling for covariates such as age, gender, duration on ART, tuberculosis status at the time of the last visit, and rural vs urban status, the odds of having a VL < 1000 copies/mL were significantly higher for clients who started ART during the COVID-19 pandemic than the year before COVID-19 (adjusted odds ratio [AOR]: 2.50; confidence interval [CI]: 1.55-4.01; P < 0.001). Odds of having a VL < 1000 copies/mL were also significantly higher among female participants than male (AOR: 1.23; CI: 1.02-1.48), among patients attending rural clinics compared to those attending urban clinics (AOR: 1.83; CI: 1.47-2.28), and in clients who were 15 years or older at the time of their last visit (AOR: 1.50; CI: 1.07-2.11). Conclusion: Viral loads did not deteriorate despite pandemic-induced changes in HIV services such as the expansion of multi-month dispensing (MMD), which may have played a protective role regardless of the general negative impacts of response to the COVID-19 crises on communities and individuals. What this study adds: This research capitalises on the natural experiment of COVID-19-related changes in HIV services and provides new practice-relevant research evidence.
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The impact of the COVID-19 pandemic extends beyond the immediate physical effects of the virus, including service adjustments for people living with the human immunodeficiency virus (PLHIV) on antiretroviral therapy (ART). Purpose: To compare treatment interruptions in the year immediately pre-COVID-19 and after the onset of COVID-19 (10 April 2020 to 30 March 2021). Methods: We analyze quantitative data covering 36,585 persons with HIV who initiated antiretroviral treatment (ART) between 1 April 2019 and 30 March 2021 at 313 HIV/AIDS care clinics in the Haut-Katanga and Kinshasa provinces of the Democratic Republic of Congo (DRC), using Firth's logistic regression. Results: Treatment interruption occurs in 0.9% of clients and tuberculosis (TB) is detected in 1.1% of clients. The odds of treatment interruption are significantly higher (adjusted odds ratio: 12.5; 95% confidence interval, CI (8.5−18.3)) in the pre-COVID-19 period compared to during COVID-19. The odds of treatment interruption are also higher for clients with TB, those receiving ART at urban clinics, those younger than 15 years old, and female clients (p < 0.05). Conclusions: The clients receiving ART from HIV clinics in two provinces of DRC had a lower risk of treatment interruption during COVID-19 than the year before COVID-19, attributable to program adjustments.
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(1) Background: Several agencies in the United States play a primary role in ensuring food safety, yet foodborne illnesses result in about 3000 deaths and cost more than USD 15.6 billion each year. The study objectives included analyzing local health departments' (LHDs) level of engagement in food safety and other related services, and LHDs' characteristics associated with those services. (2) Methods: We used data from 1496 LHDs that participated in the 2019 National Profile of Local Health Departments Survey, administered to all 2459 LHDs in the United States. Logistic regression analyses were performed to model multiple dichotomous variables. (3) Results: An estimated 78.9% of LHDs performed food safety inspections, 78.3% provided food safety education, 40.7% provided food processing inspections, and 48.4% engaged in policy and advocacy. The odds for LHDs to directly provide preventive nutrition services were 20 times higher if the LHDs had one or more nutritionists on staff (Adjusted Odds Ratio or AOR = 20.0; Confidence Interval, CI = 12.4−32.2) compared with LHDs with no nutritionists. Other LHD characteristics significantly associated with the provision of nutrition services (p < 0.05) included population size, state governance (rather than local), and LHD having at least one registered, licensed, practical, or vocational nurse. The odds of providing food processing services were lower for locally governed than state-governed LHDs (AOR = 0.5; CI = 0.4−0.7). The odds of performing food safety inspections varied by LHD's population size, whether a nutritionist was on staff, whether it was state-governed (vs. locally), and whether it completed a community health assessment (CHA) within 5 years. (4) Conclusions: LHDs play a critical role in ensuring safe food for Americans, yet variations exist in their performance based on their specific characteristics. Adequate funding and a competent workforce are essential for LHDs to utilize evidence-based practices and engage in policymaking and advocacy concerning food safety.
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Governo Local , Saúde Pública , Inocuidade dos Alimentos , Humanos , Razão de Chances , Estados UnidosRESUMO
OBJECTIVE: The primary aim of this study was to investigate whether students in minority race categories are more likely to experience race-related bias and hatred in their lifetime and since the onset of COVID-19, after controlling the effect of demographic and other variables. METHODS: This quantitative study used primary data from the survey of 1249 college students at one of the universities in Georgia during April and May 2020. We performed multinomial logistic regression, computing 2 models for the 2 ordinal dependent variables concerning students' experience of race-related bias and hatred-(a) during their lifetime and (b) since the onset of COVID-19 in March 2020-both measured as "never," "rarely," "sometimes," and "fairly often or very often." RESULTS: During their lifetime, 47.5% of students had experienced some level of bias or hatred, ranging from "rarely" to "very often." Since the onset of COVID-19 on March 2 in Georgia, in a short period of 1 to 2 months, 17.6% of students reported experiencing race-related bias or hatred. Univariate statistics revealed substantial differences in race-related bias and hatred by race, experienced during students' lifetime as well as since the onset of COVID-19. Results of multinomial logistic regression showed that the odds of having experienced bias or hatred during their lifetime were significantly higher (P < .05) for the Black students than for White students (adjusted odds ratio [AOR] = 75.8, for very often or often vs never; AOR = 42 for sometimes vs never). Compared with White students, the odds of hatred and bias were also significantly higher for students who were Asian, multiple races, or another non-White race. The odds of having experienced race-related bias and hatred since the onset of COVID-19 were also higher for Black Asian, multiple races, and other non-White students. CONCLUSIONS: This study adds critical scientific evidence about variation in the perception of bias and hatred that should draw policy attention to race-related issues experienced by college students in the United States.