458 e-Letters

published between 2020 and 2023

  • Cloth masks for general population

    Thank you for your work. It seems that in addition to healthcare workers, many people in the general population are referring to your research about cloth masks for guidance about homemade ("DIY")masks for use in the general population. If you are able to provide an addendum to your original research similar to this one addressing the question of their suitability for the general population that would be very helpful.

  • Why not interpret the cloth masks as being less protective rather than presenting high risk?

    This is a critical study, being the only C-RCT to evaluate cloth masks, and it will carry inordinate weight until more studies are done. It makes findings and recommendations which have pretty drastic implications and gainsay widespread practice. It therefore is appropriate, I think to test it with some devil's advocate interrogation. I wish to raise 3 such arguments that I hope will generate debate.

    1. The 2015 study shows that the cloth masks have higher rates of infection in the health workers (RR 1.51 for CRI, 1.72 for for lab confirmed infection). Actual infection rates were 7.6% versus 4.8%. But as the authors have stated, there was no no-mask control group. To quote the authors "The finding of a much higher rate of infection in the cloth mask arm could be interpreted as harm caused by cloth masks, efficacy of medical masks, or most likely a combination of both.” But why not draw the conclusion that the cloth masks are simply less effective at reducing infection.

    For example, some studies indicate medical masks are highly effective – assume an 80% reduction of infection, for both N95 and surgical masks. If, say, out of 100 infections that would have occurred, medical masks prevented 80, resulting in 20 infections, and according to this study, cloth masks would result in 51% more (RR=1.51), i.e. 30 cases, or at upper limit of 95%CI, RR=2.49 i.e. 50 cases, then the cloth masks have still avoided between 50 and 70 cases, i.e. more than half...

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  • COVID-19, shortages of masks and the use of cloth masks as a last resort

    Critical shortages of personal protective equipment (PPE) have resulted in the US Centers for Disease Control downgrading their recommendations for health workers treating COVID-19 patients from respirators to surgical masks and finally to home-made cloth masks. As authors of the only published randomised controlled clinical trial of cloth masks, we have been getting daily emails about this from health workers concerned about using cloth masks. The study found that cloth mask wearers had higher rates of infection than even the standard practice control group of health workers, and the filtration provided by cloth masks was poor compared to surgical masks. At the time of the study, there had been very little work done in this space, and so little thought into how to improve the protective value of the cloth masks. Until now, most guidelines on PPE did not even mention cloth masks, despite many health workers in Asia using them.

    Health workers are asking us if they should wear no mask at all if cloth masks are the only option. Our research does not condone health workers working unprotected. We recommend that health workers should not work during the COVID-19 pandemic without respiratory protection as a matter of work health and safety. In addition, if health workers get infected, high rates of staff absenteeism from illness may also affect health system capacity to respond. Some health workers may still choose to work in inadequate PPE. In this case, the physic...

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  • Response to Lane

    We wish to thank Dr Lane for his interest in our study. We are pleased to see statistical input to the issues of cannabis medicine as we feel that sophisticated statistical methodologies have much to offer this field.

    Most of the concerns raised are addressed in our very detailed report. As described our research question was whether, in our sizeable body of evidence (N=13,657 RAPWA studies), we could find evidence for the now well-described cannabis vasculopathy and what such implications might be. As this was the first study of its type to apply formal quantitative measures of vascular stiffness to these questions it was not clear at study outset if there would be any effect, much less an estimate of effect size. In the absence of this information power calculations would be mere guesswork. Nor indeed are they mandatory in an exploratory study of this type. Similarly the primary focus of our work was on whether cannabis exposure was an absolute cardiovascular risk factor in its own right, and how it compared to established risk factors. Hence Table 2 contains our main results. The role of Table 1 is to illustrate the bivariate (uncorrected) comparisons which can be made, show the various groups involved, and compare the matching of the groups. It is not intended to be a springboard for effect-size-power calculations which are of merely esoteric interest. Calculations detailing the observed effect size are clearly described in our text being 11.84% and 8....

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  • Employment status and self-rated health

    Choi et al. conducted a prospective study of 5-year follow-up to examine the association of employment status and income with self-rated health among waged workers with disabilities (1). Adjusted odds ratios (ORs) (95% confidence intervals [CIs]) of workers with a precarious employment status and lowest income for poor self-rated health were 1.22 (1.21-1.23) and 1.81 (1.80-1.83), respectively. I have some concerns about their study.

    First, Ferrante et al. examined the association between precarious employment and mental health with special reference to financial strain (2). Mental health status was assessed by the Patient Health Questionnaire 2-item scale score or the Mental health Component Summary 12-item scale score. Adjusted prevalence ratios (95% CI) of precarious workers for depression was 1.92 (1.09-2.93). In contrast, risk of poor mental health in precarious workers was not significant. Furthermore, financial strain was a strong mediator on the relationship, and a significant relationship was only observed in male workers. Sex difference and socioeconomic status might be important contributors on the relationship, which should be specified by a prospective study.

    Regarding the first query, Jang et al. conducted a follow-up study to know the effect of precarious employment on the development of new-onset severe depressive symptoms (3). Severe depressive symptoms were measured using the 11-item Center for Epidemiologic Studies Depression Scale. ORs (95%...

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  • Multifaceted Interaction Between Heart Rate, Blood Pressure, Comorbidities, and Sex

    Dear Authors and Editorial Team,

    The inverse association between resting heart rate (RHR) and longevity has been the subject of many studies, both in humans and across species [1]. The article by Zhao et al., titled, “Effect of resting heart rate on the risk of all-cause death in Chinese patients with hypertension: analysis of the Kailuan follow-up study” determines that resting heart rate > 76 beats-per-minute (bpm) is a predictor of mortality in Chinese hypertensive patients as well [2]. I applaud the authors for thoroughly adjusting for confounding factors and offering explanations for the association, but would like to bring to discussion key points that may help contextualize the findings.

    Firstly, several studies have established that women have higher RHR than men and tend to have weaker associations between RHR and mortality [3]. Thus, it may be important to develop sex-specific quintiles when categorizing heart rate as women paradoxically also have higher life expectancy than men. Fortunately, this study has a large proportion of men which reduces misclassification bias but may also in turn reduce generalizability of the results to women.

    There are peculiarities among the baseline characteristics by quintile of RHR that may warrant further attention. There seems to be markedly unequal sample sizes across the quintiles (e.g. Q2 = 7589 vs. Q1=10349), suggesting that there may be room to adjust the categories. Furthermore, there is a distinct...

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  • Sex ratio post stress event in Canada

    the difference between boys and girls 5 to 7 months post stress event is mentioned favoring the survival of girl fetuses. If true then historical data will show what were the happiest of the times when ( - minus 5 to 7 months) more boys were born. This can be a good anthropology historical tool to judge when people were happier.

  • Risk factors of central obesity in male firefighters

    Damacena et al. conducted a cross-sectional study to investigate the association of central obesity (CO) with sociodemographic, occupational, life habits, fitness and health status variables in 892 male firefighters (1). Adjusted odds ratios (95% confidence intervals) of the age range of 50 to 59 years old, low self-reported physical activity, low cardiorespiratory fitness, hyperglycaemia and hypertriglyceridaemia fasting status for CO were 2.93 (1.05 to 8.14), 1.95 (1.14 to 3.34), 5.15 (3.22 to 8.23), 1.70 (1.07 to 2.72) and 3.12 (1.75 to 5.55), respectively. I have two concerns about their study.

    First, Yook investigated the association between occupational stress, cardiorespiratory fitness, arterial stiffness, heart rate variability and sleep quality in 705 male firefighters aged 40-50 years (2). Pearson’s moment correlation coefficients between occupational stress and cardiorespiratory fitness, arterial stiffness or sleep quality were -0.082, 0.085, 0.276, respectively. Although mental factors affected health status in male firefighters, risk assessment of occupational stress for cardiovascular diseases should be specified by a prospective study with a multivariate analysis.

    Second, Kaipust et al. determined the association between sleep and on-duty injury among male career firefighters, stratified by body mass index (3). By multivariate analysis, more than half of on-duty injury reduction was observed by good sleep in obese firefighters. This significant...

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  • Re: Cannabis exposure as an interactive cardiovascular risk factor and accelerant of organismal ageing: A longitudinal study

    I have read with interest Reece and colleagues (2016) paper, but some questions remain.

    First, I think the authors have done a commendable job detailing most of their statistical methodology. However, some things are left to be desired, such as a description of the Statistical Power analysis. Using the Benjamini-Hochberg Procedure (a modified Bonferroni Procedure) on the data listed in their Supplementary materials, one can conclude that the authors' results were indeed statistically significant. What remains to be seen, however, is what the magnitude of these effects were, precisely, and what happened to the Power as these multiple comparisons were assessed, since Power decreases with increasing univariate statistical tests. One might assume Power to be sufficient given the N = 1,553, but these data have been parsed in many different ways, and it would be helpful to know the authors’ anticipated effect sizes and any Power analyses for these comparisons that were conducted prior to the start of the study.

    Second, due to issues with boundary conditions and computational modeling, the method used in this paper for the mixed-effects linear model may not be quite right [1, 2]. There is often a misapplication of traditional AIC selection criteria in linear mixed effects (LME) modeling, owing to poor justification for use in longitudinal data analysis, due in part to error variance estimates [2], which is partially how this seemed to have been used here, in th...

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  • Clinical quality registry for gynecological cancers: attention to staging

    Dear editor,

    We carefully read the study protocol proposed by Heriot et al (1), regarding the development of a prospective registry of gynecological cancers in Australia. In fact, it is a heterogeneous group of pathologies, with different clinical presentations, diagnostic characteristics and therapeutic proposals (2,3). Together, this oncological complexity can restrict the daily practice of the professionals involved in this context and even impair the treatment of the women affected.

    Oncological staging consists of a process to estimate the extent of the cancer present in the body of an affected person. Despite the particularities of each tumor site, it usually involves an evaluation obtained by physical examination associated with specific complementary examinations. However, in a real-world scenario, several factors can add limitations to this staging process (4).

    Considering the staging of gynecological cancers, the interobserver variation in tumor measurement and clinical evaluation of patients stands out. In this context, if the tumor palpation varies by a few centimeters, the patient's clinical staging and prognostic classification are also altered. In addition, the disease itself can evolve throughout the diagnostic process, which can involve several months depending on the geographic region and specific socioeconomic conditions. Thus, professionals with less experience can make mistakes in defining the clinical stage and, consequently,...

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