Increased antibiotic use (AU) has been reported globally during the COVID-19 pandemic despite low rates of bacterial co-infection. We assessed changes in AU during the COVID-19 pandemic in Indonesia and the Philippines.

We evaluated hospital-wide AU over 36 months in six hospitals, 3 in Indonesia and 3 in the Philippines. Intravenous antibiotics commonly used for respiratory conditions were selected and grouped for analysis. AU rates were calculated as monthly defined daily dose per 1000 patient-days or patient discharges. Median AU rates were compared from the pre-pandemic (March 2018–February 2020) and pandemic periods (March 2020–February 2021) using quantile regression to assess for statistical significance. Changes in AU during the COVID-19 pandemic were analyzed using interrupted time series analysis.

Significant increases were noted in the median AU rate from the pre-pandemic to pandemic period of all antibiotics combined in 3/6 hospitals (percentage change, Δ, 12.5%–63.6%) and anti-pseudomonal antibiotics in 3/6 hospitals (Δ 51.5%–161.5%). In the interrupted time series analysis, an immediate increase (range: 125.40–1762) in the use of all included antibiotics combined was observed in 3/6 hospitals at the onset of the COVID-19 pandemic. One of these 3 hospitals experienced a statistically significant sustained increase, while another experienced a decrease over time.

We observed significant increases in facility-wide inpatient AU during the COVID-19 pandemic in our participating hospitals in Indonesia and the Philippines. These findings reinforce the importance of antibiotic stewardship practices to optimize AU, especially during infectious disease pandemics.

This study aims to identify fathers’ profiles integrating food parenting practices (FPP) and physical activity parenting practices (PAPP).

We analysed cross-sectional data. The fathers completed the reduced FPP and PAPP item banks and socio-demographic and family dynamics (co-parenting and household responsibility) questionnaires. We identified fathers’ profiles via latent profile analysis. We explored the influence of social determinants, child characteristics and family dynamics on fathers’ profiles using multinomial logistic regression.

Online survey in the USA.

Fathers of 5–11-year-old children.

We analysed data from 606 fathers (age = 38 ± 8·0; Hispanic = 37·5 %). Most fathers self-identified as White (57·9 %) or Black/African American (17·7 %), overweight (41·1 %) or obese (34·8 %); attended college (70 %); earned > $47 000 (62·7 %); worked 40 hrs/week (63·4 %) and were biological fathers (90·1 %). Most children (boys = 55·5 %) were 5–8 years old (65·2 %). We identified five fathers’ profiles combining FPP and PAPP: (1) Engaged Supporter Father (n 94 (15·5 %)); (2) Leveled Father (n 160 (26·4 %)); (3) Autonomy-Focused Father (n 117 (19·3 %)); (4) Uninvolved Father (n 113 (18·6 %)) and (5) Control-Focused Father (n 122 (20·1 %)). We observed significant associations with race, ethnicity, child characteristics, co-parenting and household responsibility but not with education level, annual income or employment status. We observed significant pairwise differences between profiles in co-parenting and household responsibility, with the Engaged Supporter Father presenting higher scores in both measures.

Understanding how fathers’ FPP and PAPP interact can enhance assessments for a comprehensive understanding of fathers’ influences on children’s health. Recognising the characteristics and differences among fathers’ profiles may enable tailored interventions, potentially improving children’s health trajectories.

To examine relationships between history of mild traumatic brain injury (mTBI), neuropsychological measures of executive function, and lifetime history of criminal justice (CJ) involvement among combat-exposed Veterans and Service Members (V/SM).

Participants were combat-exposed V/SM who completed a baseline assessment for the multicenter Long-term Impact of Military-Relevant Brain Injury Consortium - Chronic Effects of Neurotrauma Consortium study (N=1,341) and had adequate engagement/symptom reporting on measures of performance and symptom validity (i.e., Medical Symptom Validity Test and Mild Brain Injury Atypical Symptoms Scale). Neuropsychological battery included the Trail Making Test (A and B), Wechsler Adult Intelligence Scale-IV (WAIS-IV) Digit Span subtest, and the National Institute of Health (NIH) Toolbox Flanker subtest. Lifetime history of brain injury, criminal justice involvement, and demographics were collected. Participants were 87% male, 72% white, with a mean age of 40 years (SD=9.67). Eighty-one percent had at least some college education. Nineteen percent were active duty. Eighty percent of Veterans and 86% of Service Members reported a history of >1 mTBI, and of these 31% and 47% respectively experienced 3+ mTBIs.

Three groups were composed based on level of involvement with the CJ system: 1.) No history of arrests or incarcerations (3+ mTBIs: 64%), 2.) A lifetime history of arrest but no felony incarceration (3+ mTBIs: 34%), and 3.) A lifetime history of felony incarceration (3+ mTBIs: 2%). Ordinal regression analyses revealed that performance on a working memory task (Digit Span; b= 0.024, p= .041; OR= 1.024) was significantly associated with increased CJ involvement after adjusting for age, education, service status, and mTBIs. Performance on measures of processing speed (Trails A), set-shifting (Trails B), and inhibition (Flanker) were not significantly associated with CJ involvement. Number of mTBIs was significantly and positively associated with level of CJ involvement in all four models; Digit Span (p= .016), Trails A (p= .016), Trails B (p= .020), and Flanker (p= .008).

Performance on most measures of executive functioning was not significantly associated with CJ involvement in this large, representative sample of V/SM who served in combat. Although performance on a working memory task was significantly associated with CJ involvement, the size of the effect was small and the association was in the opposite direction as expected. Number of mTBIs was significantly associated with level of CJ involvement, indicating that sustaining multiple mTBI may be linked to greater risk of CJ involvement. These findings suggest that social and psychological factors beyond executive dysfunction may better explain the relationship between history mTBIs and CJ involvement. Some aspects of military service and veteran status, such as interdisciplinary treatment for brain injury and physical, mental, and psychosocial health needs, may be protective against previously identified risk factors for arrest (e.g., deficits in executive functioning). Contextualizing mTBI within the larger behavioral health profile of V/SM, with emphasis placed on intervention for related co-morbidities, may reduce the impact of previous arrest on wellbeing and/or reduce the risk of future CJ involvement.

This study aimed to analyze stress, anxiety, depression, and self-efficacy levels among Spanish out-of-hospital emergency medical professionals from February 1, 2021, to April 30, 2021.

A nationwide survey was completed by 1666 Emergency Medical Services (EMS) workers. The Depression, Anxiety, and Stress Scale (DASS-21) and the General Self-Efficacy Scale (GSE) were used. Data analysis used chi-squared, análisis of variance (ANOVA), and logistic regressions.

The sample comprised 833 (50%) men, with an average age of 44.3 ± 9.9 y (range: 19-67 y). Occupational distribution included 453 (27.2%) physicians, 474 (28.4%) nurses, and 739 (44.4%) emergency medical technicians (EMTs). EMTs exhibited higher odds of severe or extremely severe depression compared with physicians (odds ratio [OR]: 1.569; 95% confidenceinterval [95% CI]: 1.213-2.030) and nurses (OR: 1.561; 95% CI: 1.211-2.012). EMTs also displayed higher probabilities of severe or extremely severe anxiety compared with nurses (OR: 1.944; 95% CI: 1.529-2.701). Furthermore, EMTs demonstrated elevated probabilities of severe or extremely severe stress compared with physicians (OR: 1.387; 95% CI: 1.088-1.770). However, no significant differences were found in self-efficacy, with a median value of 73 [20].

Out-of-hospital EMS workers experienced mental health challenges, showing varying levels of depression, stress, and anxiety across different occupational groups. EMTs were particularly affected.

COVID-19 has caused tremendous death and suffering since it first emerged in 2019. Soon after its emergence, models were developed to help predict the course of various disease metrics, and these models have been relied upon to help guide public health policy.

Here we present a method called COVIDNearTerm to “forecast” hospitalizations in the short term, two to four weeks from the time of prediction. COVIDNearTerm is based on an autoregressive model and utilizes a parametric bootstrap approach to make predictions. It is easy to use as it requires only previous hospitalization data, and there is an open-source R package that implements the algorithm. We evaluated COVIDNearTerm on San Francisco Bay Area hospitalizations and compared it to models from the California COVID Assessment Tool (CalCAT).

We found that COVIDNearTerm predictions were more accurate than the CalCAT ensemble predictions for all comparisons and any CalCAT component for a majority of comparisons. For instance, at the county level our 14-day hospitalization median absolute percentage errors ranged from 16 to 36%. For those same comparisons, the CalCAT ensemble errors were between 30 and 59%.

COVIDNearTerm is a simple and useful tool for predicting near-term COVID-19 hospitalizations.

The aim of the current study was to explore the effect of gender, age at onset, and duration on the long-term course of schizophrenia.

Twenty-nine centers from 25 countries representing all continents participated in the study that included 2358 patients aged 37.21 ± 11.87 years with a DSM-IV or DSM-5 diagnosis of schizophrenia; the Positive and Negative Syndrome Scale as well as relevant clinicodemographic data were gathered. Analysis of variance and analysis of covariance were used, and the methodology corrected for the presence of potentially confounding effects.

There was a 3-year later age at onset for females (P < .001) and lower rates of negative symptoms (P < .01) and higher depression/anxiety measures (P < .05) at some stages. The age at onset manifested a distribution with a single peak for both genders with a tendency of patients with younger onset having slower advancement through illness stages (P = .001). No significant effects were found concerning duration of illness.

Our results confirmed a later onset and a possibly more benign course and outcome in females. Age at onset manifested a single peak in both genders, and surprisingly, earlier onset was related to a slower progression of the illness. No effect of duration has been detected. These results are partially in accord with the literature, but they also differ as a consequence of the different starting point of our methodology (a novel staging model), which in our opinion precluded the impact of confounding effects. Future research should focus on the therapeutic policy and implications of these results in more representative samples.

The aim of the current study was to explore the changing interrelationships among clinical variables through the stages of schizophrenia in order to assemble a comprehensive and meaningful disease model.

Twenty-nine centers from 25 countries participated and included 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Multiple linear regression analysis and visual inspection of plots were performed.

The results suggest that with progression stages, there are changing correlations among Positive and Negative Syndrome Scale factors at each stage and each factor correlates with all the others in that particular stage, in which this factor is dominant. This internal structure further supports the validity of an already proposed four stages model, with positive symptoms dominating the first stage, excitement/hostility the second, depression the third, and neurocognitive decline the last stage.

The current study investigated the mental organization and functioning in patients with schizophrenia in relation to different stages of illness progression. It revealed two distinct “cores” of schizophrenia, the “Positive” and the “Negative,” while neurocognitive decline escalates during the later stages. Future research should focus on the therapeutic implications of such a model. Stopping the progress of the illness could demand to stop the succession of stages. This could be achieved not only by both halting the triggering effect of positive and negative symptoms, but also by stopping the sensitization effect on the neural pathways responsible for the development of hostility, excitement, anxiety, and depression as well as the deleterious effect on neural networks responsible for neurocognition.

This study examined the reasons for e-cigarette (EC) use, changes in self-efficacy and association between EC use and cessation of tobacco among Canadian young adult smokers over a 6-month period.

A secondary analysis was conducted using data from a randomised controlled trial (RCT) of young adult Canadian smokers. EC exposure was defined as persistent, transient and non-use of ECs at baseline and follow-up. The association between EC exposure and cessation was examined using logistic regression and adjusting for co-variates.

At 6-month follow-up, persistent EC use was associated with a lower cessation rate (13%) than transient (23%) or non-use (29%). After adjusting for covariates, non-use and transient use were associated with higher odds of cessation than persistent use (AOR = 3.23, 95% CI = 1.41–7.40, P < 0.01; AOR = 2.40, 95% CI = 1.01–5.58, P < 0.05). At 6-month follow-up, persistent users (68%) had high self-efficacy as compared to transient (15%) or non-use (12%). Top reasons for EC use included use as a quit aid (67%), perceived use as less harmful (52%) and taste (32%).

Among young adult Canadian smokers enrolled in a RCT of a cessation intervention, persistent and transient use of ECs was associated with a lower smoking cessation rate at 6 months.