Odds ratios from logistic, geometric, Poisson, and negative binomial regression models

Social Media Users' Engagement with Fear Appeal Elements in Government's Health Crisis Communication via State-Owned Media

Government health messaging is significant to the containment of public health crises. Such communication may benefit from using fear appeal, a message strategy for promoting health and preventing diseases. Yet little scholarly attention has been paid to how fear appeal is employed in government messaging to promote social media engagement through online actions including likes, shares, and comments. These actions play a meaningful role in addressing communication exigencies within the context of health crises. In this study, quantitative content analysis and corpus linguistics methods were employed to analyze fear appeal-related elements in COVID-19 messages sent by a state-owned media outlet on social media. The results show that when compared to messages without threat, messages conveying threat elicited significantly more comments, in which emotions and perceptions to threat and efficacy were exhibited, while messages containing both threat and efficacy generated more engagement in comparison to messages with threat alone. Moreover, while subdimensions under efficacy were positive predictors of engagement, those under threat were primarily found to have exerted negative effects. The findings provide insights into how fear appeal elements can be employed in government health crisis communication to engage the public.

Factors Associated with Acute Injurious Falls in Elderly Hospitalized Patients: A Multicenter Descriptive Study

BACKGROUND

The Centers for Medicare & Medicaid Services Hospital-Acquired Conditions (CMS-HAC) links Medicare payments to health care quality. Experiencing a serious disability or death associated with a fall in a health care facility based on diagnosis codes has been identified as an opportunity for improvement. Multiple factors contribute to an inpatient fall, including medications that affect cognition in older adults. The primary aim of this study was to investigate the effect of the commonly prescribed classes of medications on the CMS-HAC falls and trauma definition in US hospitals in a large inpatient database from 2019 to 2021.

METHODS

The authors analyzed data from 835 hospitals in the Vizient Clinical Data Base between January 1, 2019, and December 31, 2021, on patients ≥ 65 years of age with CMS-HAC patient falls and trauma codes. Using logistic regression and stepwise Poisson regression analysis, the authors identified demographic, clinical, and hospital-related variables associated with falls meeting the CMS-HAC definition. The top 20 prescribed drug classes in these patients were also identified.

RESULTS

Among 11,064,024 patient encounters, 5,978 met the CMS-HAC definition of a serious fall. Patients who experienced a serious fall were significantly more likely to be > 79 years of age (p < 0.001, odds ratio [OR] 1.30, 95% confidence interval [CI] 1.23-1.37), have a history of prior falls (p < 0.001, OR 2.30, 95% CI 2.11-2.50), have a code for dementia (p < 0.001, OR 1.50, 95% CI 1.40-1.60), and have higher anticholinergic cognitive burden (ACB) scores (p < 0.001, OR 1.14, 95% CI 1.13-1.14). Specific medication classes associated with CMS-HAC falls were first-generation antihistamines (p < 0.00, OR 1.21, 95% CI 1.09-1.35), second-generation antihistamines (p ≤ 0.001, OR 1.15, 95% CI 1.13-1.19), and atypical antipsychotics (p < 0.001, OR 1.18, CI 1.13-1.29).

CONCLUSION

Patients who experience a fall meeting the CMS-HAC fall definition are significantly more likely to have a prior history of falling, dementia, and a higher ACB score. Results from this study may inform future quality improvement work aimed at reducing injurious falls.

Nomogram predicting surgical risk of laparoscopic left-sided hepatectomy for hepatolithiasis

OBJECTIVE

To explore the surgical risk factors of laparoscopic left-sided hepatectomy for hepatolithiasis and establish and validate a nomogram to estimate the corresponding surgical risks.

METHODS

Patients with hepatolithiasis who underwent laparoscopic left-sided hepatectomy were retrospectively enrolled. Demographic data, clinicopathological parameters, and surgical factors were collected. Three hundred fifty-three patients were enrolled and randomly divided into training set (n=267) and validation set (n=86) by 3:1. Conversion to laparotomy was used as a surrogate index to evaluate the surgical risk. Univariate analysis was used to screen potential surgical risk factors, and multivariate analysis using logistic regression model was used to screen independent surgical risk factors. Nomogram predicting the surgical risks was established based on the independent risk factors. Discrimination, calibration, decision curve, and clinical impact analyses were used to evaluate the performance of the nomogram on the statistical and clinical aspects both in the training and validation sets.

RESULTS

Five independent surgical risk factors were identified in the training set, including recurrent abdominal pain, bile duct stricture, ASA classification ≥2, extent of liver resection, and biliary tract T tube drainage. No collinearity was found among these five factors, and a nomogram was established. Performance analyses of the nomogram showed good discrimination (AUC=0.850 and 0.817) and calibration (Hosmer-Lemeshow test, p=0.530 and 0.930) capabilities both in the training and validation sets. Decision curve and clinical impact analyses also showed that the prediction performance was clinically valuable.

CONCLUSIONS

A nomogram was established and validated to be effective in evaluating and predicting the surgical risk of patients undergoing laparoscopic left-sided hepatectomies for hepatolithiasis.

Postoperative Outcomes After Staged Versus Coordinated Breast Surgery and Bilateral Salpingo-Oophorectomy

BACKGROUND

The objective of this study was to compare postoperative complication rates and healthcare charges between patients who underwent coordinated versus staged breast surgery and bilateral salpingo-oophorectomy (BSO).

PATIENTS AND METHODS

The MarketScan administrative database was used to identify adult female patients with invasive breast cancer or BRCA1/BRCA2 mutations who underwent BSO and breast surgery (lumpectomy or mastectomy with or without reconstruction) between 2010 and 2015. Patients were assigned to the coordinated group if a breast operation and BSO were performed simultaneously or assigned to the staged group if BSO was performed separately. Primary outcomes were (1) incidence of 90-day postoperative complications and (2) 2-year aggregate perioperative healthcare charges. Fisher's exact tests, Wilcoxon rank-sum tests, and multivariable regression analyses were performed.

RESULTS

Of the 4228 patients who underwent breast surgery and BSO, 412 (9.7%) were in the coordinated group and 3816 (90.3%) were in the staged group. The coordinated group had a higher incidence of postoperative complications (24.0% vs. 17.7%, p < 0.01), higher risk-adjusted odds of postoperative complications [odds ratio (OR) 1.37, 95% confidence interval (CI) 1.06-1.76, p = 0.02], and similar aggregate healthcare charges before (median charges: $106,500 vs. $101,555, p = 0.96) and after risk-adjustment [incidence rate ratio (IRR) 1.00, 95% CI 0.93-1.07; p = 0.95]. In a subgroup analysis, incidence of postoperative complications (12.9% for coordinated operations vs. 11.7% for staged operation, p = 0.73) was similar in patients whose breast operation was a lumpectomy.

CONCLUSIONS

While costs were similar, coordinating breast surgery with BSO was associated with more complications in patients who underwent mastectomy, but not in patients who underwent lumpectomy. These data should inform shared decision-making in high-risk patients.

Land cover and community water system characteristics as predictors of Safe Drinking Water Act violations in Central Appalachia, USA

Upstream anthropogenic land cover can degrade source drinking water quality and thereby inhibit the ability of a community water system to provide safe drinking water. This study aimed to predict differences in Safe Drinking Water Act (SDWA) compliance between water systems based on upstream land cover in Central Appalachia and to examine whether national trends correlating violations with system size and source type were relevant for this region. Multiple generalized linear mixed models assessed relationships between SDWA violations and the distance weighted land cover proportions associated with the water system's contributing source watershed, as well as county economic status, system size, and water source. Results indicate that rates of monitoring and reporting violations were significantly higher for smaller water systems in more economically distressed counties. Interestingly, increases in surface mining landuse and high density development decreased monitoring and reporting violations, which may reflect impacts of associated economic development. Increases in low intensity development increased the likelihood of health-based violations. To protect public health, community managers should consider source water protection and/or upgrading drinking water system treatment capacity prior to developing previously undeveloped areas and further motivate compliance with monitoring and reporting requirements.

Impact of simulated flight conditions on supraventricular and ventricular ectopy

Though billions of passengers and crew travel by air each year and are exposed to altitude equivalents of 7000-8000 feet, the health impact of cabin oxygenation levels has not been well studied. The hypoxic environment may produce ectopic heartbeats that may increase the risk of acute in-flight cardiac events. We enrolled forty older and at-risk participants under a block-randomized crossover design in a hypobaric chamber study to examine associations between flight oxygenation and both ventricular (VE) and supraventricular ectopy (SVE). We monitored participant VE and SVE every 5 min under both flight and control conditions to investigate the presence and rate of VE and SVE. While the presence of VE did not differ according to condition, the presence of SVE was higher during flight conditions (e.g. OR ratio = 1.77, 95% CI: 1.21, 2.59 for SVE couplets). Rates of VE and SVE were higher during flight conditions (e.g. RR ratio = 1.25, 95% CI: 1.03, 1.52 for VE couplets, RR ratio = 1.76, 95% CI: 1.39, 2.22 for SVE couplets). The observed higher presence and rate of ectopy tended to increase with duration of the flight condition. Further study of susceptible passengers and crew may elucidate the specific associations between intermittent or sustained ectopic heartbeats and hypoxic pathways.

Cluster-based characterization of consistencies in individuals' thought profiles at rest in a cohort of 1779 French university students

Is ongoing conscious thought spontaneous and situation-related, or is it recurrent and dependent on psychological dispositions? The answer is critical for resting-state functional connectivity (RSFC) paradigms that seek to correlate neuroanatomical states with conscious mental states. The goal of the present study was to characterize individual resting state thought profiles (RSTPs) and identify the recurrent ones, i.e., that could both be predicted by personality traits and predict subsequent negative affective states. The 1779 participants had a mean age of 22.1 years, 71.8% were females, and 71.8% were undergraduates. We collected the form and content of their thoughts during a 15-min RSFC session with a computerized retrospective self-questionnaire (ReSQ 2.0). Subsamples of participants also completed online autoquestionnaires assessing their psychological maturity and trait negative affectivity (with a four-day gap on average, N = 1270) and subsequent depressive and anxious states (1.4 years later on average, N = 922). Based on the multiple correspondence and clustering analyses of the ReSQ 2.0 responses, we identified six RSTPs distinctive by their content scope, temporal orientation, empathetic concern, and emotional valence. Multivariate analyses revealed that the probability of experiencing five of the six RSTPs was predicted by trait negative affectivity interacting with psychological maturity. Among them, a negatively valenced RSTP also increased the likelihood of subsequent negative affective states, suggesting its stable and recurrent nature. Identifying recurrent RSTPs is helpful for the future understanding of RSTPs’ contribution to RSFC. Additionally, it will be relevant to test whether acting on psychological maturity can alter the relationship between ongoing conscious thought and negative affectivity.

Exploring the Risk Factors of Sudden Cardiac Death Using an Electrocardiography and Medical Ultrasonography for the General Population Without a History of Coronary Artery Disease or Left Ventricular Ejection Fraction <35% and Aged >35 Years - A Novel Point-Based Prediction Model Based on the Chin-Shan Community Cardiovascular Cohort

BACKGROUND

Most of the factors and prediction models of sudden cardiac death (SCD) have been developed without considering the Asia population. The purpose of this study is to construct a point-based prediction model for the general population in Asia.

METHODS AND RESULTS

Chin-Shan Community Cardiovascular Cohort (CCCC) is a community-based longitudinal cohort initiated between 1990 and 1991, enrolling participants aged ≥35 years and following them up until 2005. Participants with coronary artery disease (CAD) or a left ventricular ejection fraction (LVEF) of 35% were excluded from this study. The Framingham risk score function was used to derive a simple point-based prediction model. Based on bootstrapping, a novel model (CCCC-SCD-Score) was validated. A total of 2,105 participants were analyzed. The incidence rate of SCD was 0.406 per 1,000 person-years. The CCCC-SCD-Score score was calculated using age groups (maximal points=4), left ventricular hypertrophy, hypertension, left ventricular ejection fraction <40%, aortic flow rate >190 cm/s, and carotid plaque scores ≥5 (point=1 for each risk factor). The C-index of the CCCC-SCD-Score in predicting SCD risks was 0.888 (95% confidence interval: 0.807-0.969).

CONCLUSIONS

For the general Asian population without a history of CAD or a LVEF <35% and who are aged >35 years, the novel model-based scoring system effectively identifies the risk for SCD using the clinical factors, electrocardiographic and echocardiographic data.

Prenatal exposure to organophosphate pesticides and autism spectrum disorders in 11-year-old children in the French PELAGIE cohort

BACKGROUND

Organophosphate (OP) pesticides act by inhibiting acetylcholinesterase activity at synaptic junctions and have already been linked with deleterious effects on neurodevelopment, including autism spectrum disorders (ASD).

OBJECTIVES

To investigate the association of prenatal exposure to OP pesticides with traits related to ASD in 11-year-old children.

METHODS

The "Childhood Autism Spectrum Test" (CAST) parent questionnaire was used to screen for autistic traits in 792 children from the French PELAGIE cohort. Prenatal maternal urine samples were collected <19 weeks of gestation in which metabolites of organophosphate insecticides were assessed for 185 of them. Negative binomial regression models were performed to explore the association between the CAST score and 8 groups of urine components, adjusted for potential ASD risk factors.

RESULTS

In these urine samples, dialkylphosphates (DAP) were detected most often (>80%), terbufos and its metabolites least often (<10%). No association with ASD was found for DAP, terbufos or its metabolites. Incidence rate ratios (IRRs) increased with maternal urinary diazinon concentrations, from 1.11 (95% CI: 0.87-1.42) to 1.17 (95% CI: 0.94-1.46). Higher CAST scores were statistically significantly associated with the maternal urine samples in which chlorpyrifos or two of its metabolites (chlorpyrifos-oxon and 3,5,6-trichloro-2-pyridinol) were detected. The IRR for exposure to chlorpyrifos or chlorpyrifos-oxon was 1.27 (95%CI: 1.05-1.52) among all children, and 1.39 (95%CI: 1.07-1.82) among boys.

CONCLUSION

These findings suggest an increase in autistic traits among 11-year-old children in association with prenatal maternal exposure to chlorpyrifos and possibly diazinon. These associations were previously suspected in the literature, in particular for chlorpyrifos. Further work establishing the causal mechanisms behind these risk association is needed.

A comparison of statistical methods for modeling count data with an application to hospital length of stay

Background

Hospital length of stay (LOS) is a key indicator of hospital care management efficiency, cost of care, and hospital planning. Hospital LOS is often used as a measure of a post-medical procedure outcome, as a guide to the benefit of a treatment of interest, or as an important risk factor for adverse events. Therefore, understanding hospital LOS variability is always an important healthcare focus. Hospital LOS data can be treated as count data, with discrete and non-negative values, typically right skewed, and often exhibiting excessive zeros. In this study, we compared the performance of the Poisson, negative binomial (NB), zero-inflated Poisson (ZIP), and zero-inflated negative binomial (ZINB) regression models using simulated and empirical data.

Methods

Data were generated under different simulation scenarios with varying sample sizes, proportions of zeros, and levels of overdispersion. Analysis of hospital LOS was conducted using empirical data from the Medical Information Mart for Intensive Care database.

Results

Results showed that Poisson and ZIP models performed poorly in overdispersed data. ZIP outperformed the rest of the regression models when the overdispersion is due to zero-inflation only. NB and ZINB regression models faced substantial convergence issues when incorrectly used to model equidispersed data. NB model provided the best fit in overdispersed data and outperformed the ZINB model in many simulation scenarios with combinations of zero-inflation and overdispersion, regardless of the sample size. In the empirical data analysis, we demonstrated that fitting incorrect models to overdispersed data leaded to incorrect regression coefficients estimates and overstated significance of some of the predictors.

Conclusions

Based on this study, we recommend to the researchers that they consider the ZIP models for count data with zero-inflation only and NB models for overdispersed data or data with combinations of zero-inflation and overdispersion. If the researcher believes there are two different data generating mechanisms producing zeros, then the ZINB regression model may provide greater flexibility when modeling the zero-inflation and overdispersion.

Severe low back or lower limb pain is associated with recurrent falls amongst older Australians

Background

Few studies have explored the impact of low back or lower limb pain severity on recurrent (≥2) falls in older adults.

Objectives

Investigate the association between the severity of low back or lower limb pain, and ≥2 falls or falls‐related injuries.

Methods

Community‐dwelling Australian males and females in the ASPREE Longitudinal Study of Older Persons (ALSOP), aged ≥70 years. Self‐reported, cross‐sectional questionnaire data regarding number of falls and falls‐related injuries in the last 12 months; and sites and severity of pain experienced on most days. Adjusted relative risks (RR) were estimated from multivariable Poisson regression models, for males and females separately.

Results

Of 14,892 ALSOP participants, 13% (n = 1983) reported ≥2 falls (‘recurrent fallers’) in the last 12 months. Males and females who reported severe low back, or severe lower limb pain on most days were more likely to report ≥2 falls in the last 12 months compared to those with mild pain (lower back: males RR = 1.70 and females RR = 1.5, p = 0.001; lower limb: males RR = 2.0, p < 0.001 and females RR = 1.4, p = 0.003). Female recurrent fallers who reported severe low back (RR = 1.3, p = 0.029) or lower limb (RR = 1.2, p = 0.024) pain on most days were more likely to report a falls‐related injury in the last 12 months compared to females with mild pain.

Conclusion

Severe low back or lower limb pain was associated with an increased likelihood of recurrent falls (males/females) or falls‐related injuries (females only). Assessment of severe low back and lower limb pain should be considered as a priority when undertaking falls‐risk evaluation.

Significance

Severe low back pain, or severe lower limb pain is associated with an increased likelihood of recurrent falls in older males and females, and an increased likelihood of falls‐related injuries in older female recurrent fallers. Assessment and management of severe low back and lower limb pain should be prioritized when undertaking falls‐risk assessment. Future longitudinal research is required to further interrogate this relationship and its underlying mechanisms.

Impact of COVID-19 Vaccine Misinformation on Social Media Virality: Content Analysis of Message Themes and Writing Strategies

BACKGROUND

Vaccines serve an integral role in containing pandemics, yet vaccine hesitancy is prevalent globally. One key reason for this hesitancy is the pervasiveness of misinformation on social media. Although considerable research attention has been drawn to how exposure to misinformation is closely associated with vaccine hesitancy, little scholarly attention has been given to the investigation or robust theorizing of the various content themes pertaining to antivaccine misinformation about COVID-19 and the writing strategies in which these content themes are manifested. Virality of such content on social media exhibited in the form of comments, shares, and reactions has practical implications for COVID-19 vaccine hesitancy.

OBJECTIVE

We investigated whether there were differences in the content themes and writing strategies used to disseminate antivaccine misinformation about COVID-19 and their impact on virality on social media.

METHODS

We constructed an antivaccine misinformation database from major social media platforms during September 2019-August 2021 to examine how misinformation exhibited in the form of content themes and how these themes manifested in writing were associated with virality in terms of likes, comments, and shares. Antivaccine misinformation was retrieved from two globally leading and widely cited fake news databases, COVID Global Misinformation Dashboard and International Fact-Checking Network Corona Virus Facts Alliance Database, which aim to track and debunk COVID-19 misinformation. We primarily focused on 140 Facebook posts, since most antivaccine misinformation posts on COVID-19 were found on Facebook. We then employed quantitative content analysis to examine the content themes (ie, safety concerns, conspiracy theories, efficacy concerns) and manifestation strategies of misinformation (ie, mimicking of news and scientific reports in terms of the format and language features, use of a conversational style, use of amplification) in these posts and their association with virality of misinformation in the form of likes, comments, and shares.

RESULTS

Our study revealed that safety concern was the most prominent content theme and a negative predictor of likes and shares. Regarding the writing strategies manifested in content themes, a conversational style and mimicking of news and scientific reports via the format and language features were frequently employed in COVID-19 antivaccine misinformation, with the latter being a positive predictor of likes.

CONCLUSIONS

This study contributes to a richer research-informed understanding of which concerns about content theme and manifestation strategy need to be countered on antivaccine misinformation circulating on social media so that accurate information on COVID-19 vaccines can be disseminated to the public, ultimately reducing vaccine hesitancy. The liking of COVID-19 antivaccine posts that employ language features to mimic news or scientific reports is perturbing since a large audience can be reached on social media, potentially exacerbating the spread of misinformation and hampering global efforts to combat the virus.

Initial presentation for acute low back pain: is early physical therapy associated with healthcare utilization and spending? A retrospective review of a National Database

Background

Early initiation of physical therapy (PT) has been associated with lower healthcare costs and utilization; however, these studies have been limited to single institutions or healthcare systems. Our goal was to assess healthcare utilization and spending among patients who present for the first time with low back pain (LBP), according to whether they received early physical therapy (PT), using a large, nationwide sample; and geographic variation in rates of early PT and 30-day LBP-related spending.

Methods

Using the Truven MarketScan database, we identified nearly 980,000 US adults ages 18–64 years who initially presented with acute LBP from 2010 through 2014 and did not have nonmusculoskeletal causes of LBP. Approximately 110,000 patients (11%) received early PT (≤2 weeks after presentation). We compared healthcare utilization and spending at 30 days and 1 year after presentation between patients who received early PT and those who did not. Alpha = 0.05.

Results

At 30 days, early PT was associated with lower odds of chiropractor visits (odds ratio [OR] = 0.41, 95% confidence interval [CI] = 0.40–0.42), pain specialist visits (OR = 0.49, 95% CI = 0.47–0.51), emergency department visits (OR = 0.51, 95% CI = 0.49–0.54), advanced imaging (OR = 0.57, 95% CI = 0.56–0.58), orthopaedist visits (OR = 0.67, 95% CI = 0.66–0.69), and epidural steroid injections (OR = 0.68, 95% CI = 0.65–0.70). At 1 year, early PT was associated with less healthcare utilization. At 30 days, patients with early PT had lower mean LBP-related spending ($1180 ± $1500) compared with those without early PT ($1250 ± $2560) (P < 0.001). At 1 year, LBP-related spending was significantly less among patients who did not receive early PT ($2510 ± $3826) versus those who did ($2588 ± $3704). Early PT rates (range, 4–25%; P < 0.001) and 30-day LBP-related spending differed by state (range, $421 to −$410; P < 0.001).

Conclusion

Early PT for acute LBP was associated with less 30-day and 1-year healthcare utilization and less 30-day LBP-related spending. Early PT rates and 30-day spending differed by US state.

Level of evidence

IV

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08255-0.

Maternal exposure to PM2.5/BC during pregnancy predisposes children to allergic rhinitis which varies by regions and exclusive breastfeeding

BACKGROUND

Increasing prevalence of childhood allergic rhinitis(AR) needs a deeper understanding on the potential adverse effects of early life exposure to air pollution.

OBJECTIVES

The main aim was to evaluate the effects of maternal exposure to PM_2.5 and chemical constituents during pregnancy on preschool children's AR, and further to explore the modification effects of regions and exclusive breastfeeding.

METHODS

A multi-center population-based study was performed in 6 cities from 3 regions of China in 2011-2012. Maternal exposure to ambient PM_2.5 and main chemical constituents(BC, OM, SO₄^2-, NO₃^-, NH₄⁺) during pregnancy was assessed and a longitudinal prospective analysis was applied on preschool children's AR. The modification effects of regions and exclusive breastfeeding were investigated.

RESULTS

A total of 8.8% and 9.8% of children reported doctor-diagnosed allergic rhinitis(DDAR) and current hay fever, respectively, and 48.6% had less than 6 months of exclusive breastfeeding. The means of PM_2.5 during pregnancy were 52.7 μg/m³, 70.3 μg/m³ and 76.4 μg/m³ in the east, north and central south of China, respectively. Multilevel log-binomial model regression showed that each interquartile range(IQR) increase of PM_2.5 during pregnancy was associated with an average increase in prevalence ratio (PR) of DDAR by 1.43(95% confidence interval(CI): 1.11, 1.84) and current hay fever by 1.79(95% CI: 1.26, 2.55), respectively. Among chemical constituents, black carbon (BC) had the strongest associations. Across 3 regions, the eastern cities had the highest associations, followed by those in the central south and the north. For those equal to or longer than 6 months of exclusive breastfeeding, the associations were significantly reduced.

CONCLUSIONS

Children in east of China had the highest risks of developing AR per unit increase of maternal exposure to PM_2.5 during pregnancy, especially BC constituent. Remarkable decline was found in association with an increase in breastfeeding for ≥6 months, in particular in east of China.

Exploring the Relationship Between Trust-Building Strategies and Public Engagement on Social Media During the COVID-19 Outbreak

Communication is critical in a new health emergency because it motivates the public to take preventive actions. Prior research has shown that strategies including source credibility, information transparency and uncertainty reduction actions could enhance trust in health communication on social media. Yet research on how the government in China used these trust-building strategies to engage the public during the outbreak of COVID-19 is limited. Therefore, our exploratory study developed an integrated framework for conducting quantitative content analysis to examine how the most popular government-owned newspaper in China, People's Daily, utilized a major social media platform, to engage the public. Our findings showed that accessibility to external links, provision of emotional support, and information on skills and resources were associated with increased public engagement with government COVID-19 posts. Insights gained can enable public health organizations and governments to focus on specific strategies to enhance public engagement.

Engaging social media users with attitudinal messages during health crisis communication

To cope with the COVID-19 pandemic, various policy measures accompanied by health crisis communication were adopted in China to engage publics. In this study, we investigated how People's Daily communicated COVID-19 messages on Weibo. Drawing on the Appraisal Framework, we developed a three-stage mixed method approach to study 400 COVID-19 posts to identify the attitude resources employed and their association with public engagement. We found that attitudinal posts were more engaging than non-attitudinal posts. Judgment, both positive and negative, was positively associated with public engagement, whereas the use of positive Affect and Appreciation could be ineffective. These findings contribute to the understanding of how public engagement on social media can be enhanced through the use of attitudinal messages in health emergencies.

Differential risk for COVID-19 in the first wave of the disease among Spaniards and migrants from different areas of the world living in Spain

INTRODUCTION AND OBJECTIVES

Little is known regarding the relevance of racial/ethnic background to the risk for COVID-19 infection, particularly in Europe. We evaluated the risk of COVID-19 among migrants from different areas of the world within the context of universal free access to medical care.

MATERIAL AND METHODS

We conducted a population-based cohort analysis of the cumulative incidence of PCR-confirmed COVID-19 among adult residents of Alcorcon (Spain) in the first wave of the disease up to April 25, 2020.

RESULTS

The crude cumulative incidence among migrants (n=20,419) was higher than among Spaniards (n=131,599): 8.81 and 6.51 and per 1,000 inhabitants, respectively (p<.001), but differed by region of origin. As per a negative binomial regression adjusted for age and sex, relative risk (RR) for COVID-19 for individuals from Europe, Asia, or North Africa was not significantly different from Spaniards. In contrast, a markedly increased risk was found for people from Sub-Saharan Africa (RR 3.66, 95% confidence interval (CI) 1.42-9.41, p=.007), the Caribbean (RR 6.35, 95% CI 3.83-10.55, p<.001), and Latin America (RR 6.92, 95% CI 4.49-10.67, p<.001).

CONCLUSIONS

Migrants from Sub-Saharan Africa, the Caribbean, and Latin America exhibited increased risk for COVID-19 as compared to Spaniards or migrants from Europe, North Africa, or Asia. Our data suggest that the ethnic background may play a role in risk for COVID-19. Migrants from some areas of the world may merit closer attention for both clinical and epidemiological reasons.

SARS-CoV-2 and work-related transmission: results of a prospective cohort of airport workers, 2020

INTRODUCTION

The coronavirus disease 2019 (COVID-19) pandemic has spread rapidly around the globe. Even though multiple strategies are available for controlling infectious respiratory diseases, the current approach for managing this pandemic is the prevention of person-to-person transmission. Despite the quarantine strategy, some work positions must remain active, such as airport personnel.

OBJECTIVES

To identify risk factors for COVID-19 transmission among workers at the El Dorado, Luis Carlos Galán Airport from March to July 2020.

METHODS

This is a prospective cohort study with workers of the El Dorado International Airport, in Bogotá, Colombia. A sociodemographic questionnaire was for searching for symptoms associated with COVID-19 and other risk factors. Nasopharyngeal swabs were collected for determining the presence of COVID-19. In order to identify seroconversion, we used an automated chemiluminescent immunoassay for anti-SARS-CoV-2 IgM and IgG antibodies. Patients with positive results were followed-up for 21 days.

RESULTS

We observed an incidence of infection of 7.9%; most cases were asymptomatic. The main risk factor associated with infection was the duration of daily commute (relative risk 1.02 [95% confidence interval, 1.002-1.041]).

CONCLUSIONS

We observed asymptomatic infection by COVID-19 among airport workers. Future research should contribute with knowledge for developing strategies that guarantee the protection of airport workers.

Differential risk for COVID-19 in the first wave of the disease among Spaniards and migrants from different areas of the world living in Spain

INTRODUCTION AND OBJECTIVES

Little is known regarding the relevance of racial/ethnic background to the risk for COVID-19 infection, particularly in Europe. We evaluated the risk of COVID-19 among migrants from different areas of the world within the context of universal free access to medical care.

MATERIALS AND METHODS

We conducted a population-based cohort analysis of the cumulative incidence of PCR-confirmed COVID-19 among adult residents of Alcorcon (Spain) in the first wave of the disease up to April 25, 2020.

RESULTS

The crude cumulative incidence among migrants (n = 20419) was higher than among Spaniards (n = 131599): 8.81 and 6.51 and per 1000 inhabitants, respectively (p <  .001), but differed by region of origin. As per a negative binomial regression adjusted for age and sex, relative risk (RR) for COVID-19 for individuals from Europe, Asia, or North Africa was not significantly different from Spaniards. In contrast, a markedly increased risk was found in people from Sub-Saharan Africa (RR 3.66, 95% confidence interval (CI) 1.42-9.41, p =  .007), the Caribbean (RR 6.35, 95% CI 3.83-10.55, p <  .001), and Latin America (RR 6.92, 95% CI 4.49-10.67, p <  .001).

CONCLUSIONS

Migrants from Sub-Saharan Africa, the Caribbean, and Latin America exhibited increased risk for COVID-19 as compared to Spaniards or migrants from Europe, North Africa, or Asia. Our data suggest ethnic background may play a role in risk for COVID-19. Migrants from some areas of the world may merit closer attention for both clinical and epidemiological reasons.

The role of impulsivity in neurorehabilitation: A prospective cohort study of a potential cognitive biomarker for fall risk?

BACKGROUND

Executive dysregulation and impulsivity can both predispose individuals to risk-prone actions. Although the risk of falls is well established in people with poor executive function, its association to impulsivity is less clear.

PURPOSE

To describe and assess the prognostic capabilities of the relationship between impulsivity, executive function, functional capability, and falls in the in-patient neurorehabilitation population.

MATERIALS AND METHODS

A prospective cohort study in a 26-bed neurorehabilitation unit in London, recruiting 121 patients, of whom 94 were deemed eligible for inclusion. Cognitive-behavioural assessment was undertaken using the short (16-item) version of the Urgency-Premeditation-Perseverance-Sensation Seeking-Positive Urgency (UPPS) impulsive behaviour scale, and the Trail Making Test (TMT). Patients also underwent a functional assessment at admission and discharge using the UK Functional Independence and Assessment Measure tool (FIM + FAM). The main outcome of interest was falling during an in-patient episode, which are routinely recorded in a computerized registry of adverse incidents.

RESULTS

Measurements of impulsivity (based on the UPPS-Short form) and executive function (based on the Trail Making Test) were not found to be significantly associated with functional improvement, or risk of falling. Predictive modelling experiments demonstrated that neither of the aforementioned results were capable of identifying individuals at risk of falling more accurately than an informed guess.

CONCLUSION

Where impulsivity is present, measurement using structured tools such as the UPPS may be informative to guide individualized rehabilitation programmes; however, its usefulness as the basis of risk prediction models for falls is less likely given the results of this study.

Exploring drivers for public engagement in social media communication with medical social influencers in China

Social networking sites offer an important means for increasing the accessibility and enabling new forms of health communication between the public and medical social influencers (MSIs). MSIs have a social presence and are perceived as a credible source of health-related information. A research gap, however, exists in understanding the communication strategies employed by MSIs and the factors driving the public to engage in health communication with MSIs. This study, therefore, developed a new conceptual framework incorporating health communication, dialogic and interpersonal communication by employing quantitative content analysis to examine public engagement with MSI communication on the largest microblogging site in China, Sina Weibo. The analysis yielded insights into how the usefulness of health-related information provided alongside the interactive dialogue and affective practices played an active role in engaging the public. The public sought health-related information primarily to address issues of concern for well-being and a high level of engagement in terms of online shares, likes, and comments was found. The use of multimedia made the site more appealing, resulting in likes while the expression of emotions by MSIs generated likes and comments. The need to connect with other online users and have a sense of community was reflected in engagement through sharing useful MSI posts by the public. By identifying influential MSIs on social networking sites, health information providers such as organizations and the government can raise awareness of health issues to foster a healthy lifestyle and contribute to better living in the community.

Grappling With the COVID-19 Health Crisis: Content Analysis of Communication Strategies and Their Effects on Public Engagement on Social Media

Background

The coronavirus disease (COVID-19) has posed an unprecedented challenge to governments worldwide. Effective government communication of COVID-19 information with the public is of crucial importance.

Objective

We investigate how the most-read state-owned newspaper in China, People’s Daily, used an online social networking site, Sina Weibo, to communicate about COVID-19 and whether this could engage the public. The objective of this study is to develop an integrated framework to examine the content, message style, and interactive features of COVID-19–related posts and determine their effects on public engagement in the largest social media network in China.

Methods

Content analysis was employed to scrutinize 608 COVID-19 posts, and coding was performed on three main dimensions: content, message style, and interactive features. The content dimension was coded into six subdimensions: action, new evidence, reassurance, disease prevention, health care services, and uncertainty, and the style dimension was coded into the subdimensions of narrative and nonnarrative. As for interactive features, they were coded into links to external sources, use of hashtags, use of questions to solicit feedback, and use of multimedia. Public engagement was measured in the form of the number of shares, comments, and likes on the People’s Daily’s Sina Weibo account from January 20, 2020, to March 11, 2020, to reveal the association between different levels of public engagement and communication strategies. A one-way analysis of variance followed by a post-hoc Tukey test and negative binomial regression analysis were employed to generate the results.

Results

We found that although the content frames of action, new evidence, and reassurance delivered in a nonnarrative style were predominant in COVID-19 communication by the government, posts related to new evidence and a nonnarrative style were strong negative predictors of the number of shares. In terms of generating a high number of shares, it was found that disease prevention posts delivered in a narrative style were able to achieve this purpose. Additionally, an interaction effect was found between content and style. The use of a narrative style in disease prevention posts had a significant positive effect on generating comments and likes by the Chinese public, while links to external sources fostered sharing.

Conclusions

These results have implications for governments, health organizations, medical professionals, the media, and researchers on their epidemic communication to engage the public. Selecting suitable communication strategies may foster active liking and sharing of posts on social media, which in turn, might raise the public’s awareness of COVID-19 and motivate them to take preventive measures. The sharing of COVID-19 posts is particularly important because this action can reach out to a large audience, potentially helping to contain the spread of the virus.

Efficacy of Diltiazem for the Control of Blood Pressure in Puerperal Patients with Severe Preeclampsia: A Randomized, Single-Blind, Controlled Trial

BACKGROUND

Postpartum preeclampsia is a serious disease related to high blood pressure that occurs commonly within the first six days after delivery.

OBJECTIVE

To evaluate if diltiazem improves blood pressure parameters in early puerperium patients with severe preeclampsia. Methodology. A randomized, single-blind longitudinal clinical trial of 42 puerperal patients with severe preeclampsia was carried out. Patients were randomized into two groups: the experimental group (n = 21) received diltiazem (60 mg) and the control group (n = 21) received nifedipine (10 mg). Both drugs were orally administered every 8 hours. Systolic, diastolic, and mean blood pressures as well as the heart rate were recorded and analyzed (two-way repeated measures ANOVA) at baseline and after 6, 12, 18, 24, 30, 36, 42, and 48 hours. Primary outcome measures were all the aforementioned blood pressure parameters. Secondary outcome measures included the number of hypertension and hypotension episodes along with the length of stay in the intensive care unit.

RESULTS

No statistical differences were found between groups (diltiazem vs. nifedipine) regarding basal blood pressure parameters. Interarm differences in blood pressure (systolic, diastolic, and mean) and heart rate were statistically significant between treatment groups from 6 to 48 hours. Patients in the diltiazem group had lower blood pressure levels than patients in the nifedipine group. Significantly, patients who received diltiazem had fewer hypertension and hypotension episodes and stayed fewer days in the intensive care unit than those treated with nifedipine.

CONCLUSIONS

Diltiazem controlled arterial hypertension in a more effective and uniform manner in patients under study than nifedipine. Patients treated with diltiazem had fewer collateral effects and spent less time in the hospital. This trial is registered with NCT04222855.

Risk factors associated to a high Mycobacterium tuberculosis complex seroprevalence in wild boar (Sus scrofa) from a low bovine tuberculosis prevalence area

Animal tuberculosis is a worldwide zoonotic disease caused principally by Mycobacterium bovis, a member of the Mycobacterium tuberculosis complex (MTC). In southern Iberian Peninsula, wild reservoirs such as the wild boar, among other factors, have prevented the eradication of bovine tuberculosis. However, most of the studies have been focused on south-central Spain, where the prevalence of tuberculosis is high among wild ungulates and cattle herds. In northern regions, where wild boar density and bovine tuberculosis prevalence are lower, fewer studies have been carried out and the role of this species is still under debate. The aim of this study was to describe the temporal and spatial distribution of antibodies against MTC in wild boar from the Basque Country, northern Spain. Sera from 1902 animals were collected between 2010 and 2016. The seroprevalence was determined with an in house enzyme-linked immunosorbent assay and the search of risk factors was assessed by Generalized Linear Models. Overall, 17% of wild boars (326/1902; 95%CI, [15.5%–18.9%]) showed antibodies against MTC. Risk factors associated with seropositivity were the year and location of sampling, the number of MTC positive cattle, the distance to positive farms and the percentage of shrub cover. Younger age classes were associated with increased antibody titres among seropositive individuals. The seroprevalence detected was higher than those previously reported in neighbouring regions. Hence, further studies are needed to better understand the role of wild boar in the epidemiology of tuberculosis in low tuberculosis prevalence areas and consequently, its relevance when developing control strategies.