It was aimed to explore the relationship between evidence-based medicine (EBM) training and medical students’ views on traditional, complementary, and alternative medicine (TCAM) and their views on conspiracies about COVID-19.

Medical students constitute the future workforce of primary health care services. The relationship between EBM training and their views on conspiracies about COVID-19 is critical to explore for providing a better primary health care. The relationship EBM training and medical students’ views on TCAM is also important in this regard.

This is a cross-sectional study. Turkish medical students were surveyed about EBM training, TCAM, and COVID-19 conspiracies. The electronic survey form consisted of five parts: Demographic characteristics, views and self-perceived knowledge about TCAM and the methods, views on the origin of SARS-COV-2, participation in EBM training, and views on TCAM training. A total of 49 medical schools provided response. Along with descriptive statistics, Chi-square test was utilized.

Among 2577 participants, 24.0% of them believed SARS-COV-2 was artificially designed. The students who have participated in EBM training via both lecture and small group discussions have a less positive view on TCAM than both the students who have not participated in any EBM training (p < 0.05) and the students who participated in only-lectures (p < 0.05). There was a significant association between EBM training and whether believing COVID-19 (SARS-COV-2) has been designed purposefully by some people or it has emerged naturally χ2 (1) = 17.21 p < 0.001. The odds of thinking COVID-19 emerged naturally was 1.85 times higher (95% CI: 1.38-2.47) if the students have participated in EBM training via both lectures and small group discussions than if they have not participated in any EBM training. EBM training affects medical students in terms of beliefs on COVID-19 conspiracies.

There are now hundreds of systematic reviews on attention deficit hyperactivity disorder (ADHD) of variable quality. To help navigate this literature, we have reviewed systematic reviews on any topic on ADHD.

We searched MEDLINE, PubMed, PsycINFO, Cochrane Library, and Web of Science and performed quality assessment according to the Joanna Briggs Institute Manual for Evidence Synthesis. A total of 231 systematic reviews and meta-analyses met the eligibility criteria.

The prevalence of ADHD was 7.2% for children and adolescents and 2.5% for adults, though with major uncertainty due to methodological variation in the existing literature. There is evidence for both biological and social risk factors for ADHD, but this evidence is mostly correlational rather than causal due to confounding and reverse causality. There is strong evidence for the efficacy of pharmacological treatment on symptom reduction in the short-term, particularly for stimulants. However, there is limited evidence for the efficacy of pharmacotherapy in mitigating adverse life trajectories such as educational attainment, employment, substance abuse, injuries, suicides, crime, and comorbid mental and somatic conditions. Pharmacotherapy is linked with side effects like disturbed sleep, reduced appetite, and increased blood pressure, but less is known about potential adverse effects after long-term use. Evidence of the efficacy of nonpharmacological treatments is mixed.

Despite hundreds of systematic reviews on ADHD, key questions are still unanswered. Evidence gaps remain as to a more accurate prevalence of ADHD, whether documented risk factors are causal, the efficacy of nonpharmacological treatments on any outcomes, and pharmacotherapy in mitigating the adverse outcomes associated with ADHD.

Three factors converge to underscore the heightened importance of evaluating the potential health/well-being effects of friendships in older adulthood. First, policymakers, scientists, and the public alike are recognizing the importance of social relationships for health/well-being and creating national policies to promote social connection. Second, many populations are rapidly aging throughout the world. Third, we currently face what some call a ‘friendship recession’. Although, growing research documents associations between friendship with better health and well-being, friendship can also have a ‘dark side’ and can potentially promote negative outcomes. To better capture friendship’s potential heterogeneous effects, we took an outcome-wide analytic approach.

We analysed data from 12,998 participants in the Health and Retirement Study (HRS) – a prospective and nationally representative cohort of U.S. adults aged >50, and, evaluated if increases in friendship strength (between t0; 2006/2008 and t1; 2010/2012) were associated with better health/well-being across 35 outcomes (in t2; 2014/2016). To assess friendship strength, we leveraged all available friendship items in HRS and created a composite ‘friendship score’ that assessed the following three domains: (1) friendship network size, (2) friendship network contact frequency and (3) friendship network quality.

Stronger friendships were associated with better outcomes on some indicators of physical health (e.g. reduced risk of mortality), health behaviours (e.g. increased physical activity) and nearly all psychosocial indicators (e.g. higher positive affect and mastery, as well as lower negative affect and risk of depression). Friendship was also associated with increased likelihood of smoking and heavy drinking (although the latter association with heavy drinking did not reach conventional levels of statistical significance).

Our findings indicate that stronger friendships can have a dual impact on health and well-being. While stronger friendships appear to mainly promote a range of health and well-being outcomes, stronger friendships might also promote negative outcomes. Additional research is needed, and any future friendship interventions and policies that aim to enhance outcomes should focus on how to amplify positive outcomes while mitigating harmful ones.

Queens County was identified as the epicenter of the coronavirus disease 2019 (COVID-19) outbreak in United States, representing a significant proportion of racial and ethnic minorities. As the pandemic surged and new variants emerged, one factor that has not been explored is the level of pandemic readiness (preparedness) in urban communities.

This was a cross-sectional study using a survey to assess pandemic readiness among residents in Queens County, New York, which was disseminated online by means of elected officials. The survey included basic demographics, health status, essential supplies (such as food, water, and prescription medication), social support, spatial capacity, and access to COVID-19 health information.

A total of 306 participants completed the survey (59% response rate). Eighty-two percent of participants were not pandemic ready with only 11.4% at beginner-level and 7% advanced-level readiness. Beginner- and advanced-level readiness was more common among participants with college experience. Regarding employment, 85% of participants who were employed were not ready for the pandemic, compared with 68% of those who were not employed. More strikingly, over 60% of participants learned something new by completing the survey.

This study adds to the existing literature on pandemic preparedness and highlights the need for greater outreach and education among racial and ethnic minorities.

This study explored community supervision officers’ perceptions of the individual, community, and organizational challenges confronted by program participants after Hurricane María and their recommendations for future emergency management.

A qualitative content analysis was conducted for nine focus group with community supervision officers in Puerto Rico. Participants were asked about their perceptions of how the mental health and drug abuse of persons on parole or probation were affected and the measures taken to address these concerns in disaster response.

Narratives expose vulnerabilities experienced by those supervised and the aggregated challenges that impact retention in health and rehabilitative services, all of which can detract from successful sentence completion. The disaster response categories call for a more adaptable approach to overseeing procedures in light of the difficulties involved and recognizing the support of the supervised population who have contributed to community initiatives.

Findings will contribute to informing planning, preparedness, and responses that mitigate the adverse consequences this vulnerable population may experience when exposed to future disaster hazards. Addressing emergency preparedness in this setting provides an opportunity to enact reforms in community supervision and improve access to services needed to enable the successful reintegration of individuals into their communities.

To evaluate the impact of a menu box delivery service tailored to the long-day care (LDC) setting on improving menu compliance with recommendations, children’s diet quality and dietary intake while in care.

A cluster randomised controlled trial in LDC centres randomly assigned to an intervention (menu box delivery) or comparison (menu planning training) group. The primary outcome was child food provision and dietary intake. Secondary outcomes include menu compliance and process evaluation, including acceptability, fidelity and menu cost (per child, per day).

South Australian LDC centres.

Eight LDC centres (n 224 children) provided data.

No differences were observed in serves/d between intervention and comparison centres, for provision (intervention, 0·9 inter-quartile range (IQR) 0·7–1·2; comparison, 0·8 IQR 0·5–1·3) or consumption (intervention, 0·5 IQR 0·2–0·8; comparison, 0·5 IQR 0·3–0·9) of vegetables. Child food provision and dietary intake were similar across both groups for all food groups (P < 0·05). At follow-up, all intervention centres met menu planning guidelines for vegetables, whereas only one comparison centre met guidelines. Intervention centre directors found the menu box delivery more acceptable than cooks. Cost of the intervention was AUD$2·34 greater than comparison centres (intervention, AUD$4·62 (95 % CI ($4·58, $4·67)); comparison, AUD$2·28 (95 % CI ($2·27, $2·30)) per child, per day).

Menu compliance can be improved via a menu delivery service, delivering equivalent impacts on child food provision and dietary intake compared with an online training programme. Further exploration of cooks acceptability and cost is essential before scaling up to implementation.

This article aims to analyze the relationship between user characteristics on social networks and influenza.

Three specific research questions are investigated: (1) we classify Weibo updates to recognize influenza-related information based on machine learning algorithms and propose a quantitative model for influenza susceptibility in social networks; (2) we adopt in-degree indicator from complex networks theory as social media status to verify its coefficient correlation with influenza susceptibility; (3) we also apply the LDA topic model to explore users’ physical condition from Weibo to further calculate its coefficient correlation with influenza susceptibility. From the perspective of social networking status, we analyze and extract influenza-related information from social media, with many advantages including efficiency, low cost, and real time.

We find a moderate negative correlation between the susceptibility of users to influenza and social network status, while there is a significant positive correlation between physical condition and susceptibility to influenza.

Our findings reveal the laws behind the phenomenon of online disease transmission, and providing important evidence for analyzing, predicting, and preventing disease transmission. Also, this study provides theoretical and methodological underpinnings for further exploration and measurement of more factors associated with infection control and public health from social networks.