Hong Kong Council on Smoking and Health

We investigated the prevalence and associated factors of exposure to secondhand smoke (SHS) at workplaces from 2015 to 2020, 8+ years after the expansion of smoke-free areas, including all indoor workplaces in Hong Kong since 2007, and its association with respiratory symptoms in Chinese adults. Population-based survey. 13,048 working respondents (aged 15+ years) from 6 waves of population-based random-digit telephone surveys (2015-2020) were included. Information on sociodemographic factors, smoking status, and SHS exposure at workplaces were collected. 4585 respondents were randomly selected to report their recent respiratory symptoms. Log-binomial regressions assessed factors associated with SHS exposure at workplaces and the association between SHS and respiratory symptoms, adjusting for sociodemographic factors. 24.8% of respondents reported SHS exposure at workplaces in the 7 days preceding the survey. Male, older age, lower education level, work outdoors, work both outdoors and indoors, work in vehicles, work as service and sales workers, and work as manual laborers were associated with SHS exposure at workplaces (all P<0.05). SHS exposure at workplaces was associated with respiratory symptoms in never smokers (Adjusted prevalence ratio (APR) 1.34, 95 %CI 1.00 to 1.81) and ex-smokers (APR 1.34, 95%CI 1.02 to 1.77), with dose-response relationships. Eight to thirteen years after banning smoking at all indoor workplaces, SHS exposure at workplaces was prevalent in outdoor occupations. Exposure to SHS at workplaces was associated with self-reported respiratory symptoms in never and ex-smokers. Policymakers should consider continuously expanding smoke-free areas to more outdoor public places.

ObjectivesTo examine the associations between tobacco industry denormalisation (TID) beliefs and support for tobacco endgame policies.MethodsA total of 2810 randomly selected adult respondents of population-based tobacco policy-related surveys (2018–2019) were included. TID beliefs (agree vs disagree/unsure) were measured by seven items: tobacco manufacturers ignore health, induce addiction, hide harm, spread false information, lure smoking, interfere with tobacco control policies and should be responsible for health problems. Score of each item was summed up and dichotomised (median=5, >5 strong beliefs; ≤5 weak beliefs). Support for tobacco endgame policies on total bans of tobacco sales (yes/no) and use (yes/no) was reported. Associations between TID beliefs and tobacco endgame policies support across various smoking status were analysed, adjusting for sociodemographics.ResultsFewer smokers (23.3%) had strong beliefs of TID than ex-smokers (48.4%) and never smokers (48.5%) (p<0.001). Support for total bans on tobacco sales (74.6%) and use (76.9%) was lower in smokers (33.3% and 35.3%) than ex-smokers (74.3% and 77.9%) and never smokers (76.0% and 78.3%) (all p values<0.001). An increase in the number of TID beliefs supported was positively associated with support for a total ban on sales (adjusted risk ratio 1.06, 95% CI 1.05 to 1.08, p<0.001) and use (1.06, 95% CI 1.05 to 1.07, p<0.001). The corresponding associations were stronger in smokers than non-smokers (sales: 1.87 vs 1.25, p value for interaction=0.03; use: 1.78 vs 1.21, p value for interaction=0.03).ConclusionStronger TID belief was associated with greater support for total bans on tobacco sales and use. TID intervention may increase support for tobacco endgame, especially in current smokers.

We prepared the three-dimensional model of the 2019-nCoV 3C-like protease (3CLpro) using the crystal structure of the highly-similar (96% identity) ortholog from the SARS-CoV. All residues involved in the catalysis, substrate binding and dimerisation are 100% conserved. Comparison of the polyprotein PP1AB sequences showed 86% identity. The 3C-like cleavage sites on the coronaviral polyproteins are highly conserved. Based on the near-identical substrate specificities and high sequence identities, we are in the opinion that some of the previous progress of specific inhibitors development for the SARS-CoV enzyme can be conferred on its 2019-nCoV counterpart. With the 3CLpro molecular model, we performed virtual screening for purchasable drugs and proposed 16 candidates for consideration. Among these, the antivirals ledipasvir or velpatasvir are particularly attractive as therapeutics to combat the 2019-nCoV with minimal side effects, commonly fatigue and headache. The drugs Epclusa (velpatasvir / sofosbuvir) and Harvoni (ledipasvir / sofosbuvir) could be very effective owing to their dual inhibitory actions on two viral enzymes.

BackgroundMonetary incentive is often used to increase response rate in smokers’ survey, but such effect of prepaid and promised incentives in a follow-up survey is unknown. We compared the effect of different incentive schemes on the consent and retention rates in a follow-up survey of adult cigarette smokers.MethodsThis was a randomized controlled trial (RCT) in Hong Kong, China. Smokers who completed a non-incentivized baseline telephone smoking survey were invited to a 3-month follow-up, with randomization into (1) the control group (no incentive), (2) a promised HK$100 (US$12.8) incentive upon completion, (3) a promised HK$200 (US$25.6) incentive upon completion, or (4) a prepaid HK$100 incentive plus another promised HK$100 incentive (“mixed incentive”). Crude risk ratios from log-binomial regression models were used to assess if the 3 incentive schemes predicted higher rates of consent at baseline or retention at 3-month than no incentive.ResultsIn total, 1246 smokers were enrolled. The overall consent and retention rates were 37.1 and 23.0%, respectively. Both rates generally increased with the incentive amount and offer of prepaid incentive. The mixed incentive scheme marginally increased the retention rate versus no incentive (26.8% vs 20.3%; risk ratio (RR) = 1.32; 95% CI: 1.00–1.76; P = 0.053), but not the consent rate (RR = 1.13; 95% CI: 0.93–1.38; P = 0.22). Among the consented participants, approximately 50% in the mixed incentive group received the mailed prepaid incentive, who achieved a higher retention rate than the group without incentives (82.8% vs 56.1%; RR = 1.48; 95% CI: 1.21–1.80; P < 0.01).ConclusionThe mixed incentive scheme combining the prepaid and promised incentive was effective to increase the follow-up retention rate by 48%. We recommend this mixed incentive scheme to increase the follow-up retention rate. More efficient methods of delivering the incentive are needed to maximize its effects.Trial registrationU.S. Clinical Trials registry (clinicaltrials.gov, retrospectively registered, reference number: NCT03297866).

PurposeAlthough entrepreneurial learning is widely believed as an important factor in shaping one’s entrepreneurial intention, research finds little consistent results on the direct effect of entrepreneurial learning on one’s entrepreneurial intention. To solve the conflicted effects of entrepreneurial learning, the purpose of this paper is to explore how entrepreneurial learning may impact individual entrepreneurial intention.Design/methodology/approachDrawing on the theory of planned behavior (TPB), the authors proposed and tested on a three mediating effect model, in which entrepreneurial learning is associated with entrepreneurial intention through attitude, subjective norm and perceived behavioral control toward entrepreneurship. Moreover, the moderating role of prior exposure to entrepreneurship was proposed and tested. Based on a sample of 200 university students who have taken entrepreneurial courses in Hong Kong, the hierarchical regressions and moderated mediation tests were used to test the hypotheses.FindingsThe authors find that the positive relationship between entrepreneurial learning and entrepreneurial intention is significantly mediated by attitude, subjective norm and perceived behavioral control toward entrepreneurship; and the mediating effects of entrepreneurial learning on entrepreneurial intention via attitudes and perceived behavioral control respectively, is moderated by exposure to entrepreneurship.Originality/valueContributing to the literature of entrepreneurship education, this study identifies individuals who exposed to the same entrepreneurship education may perform differently in entrepreneurial learning. The findings also help us to better understand the mechanism through which and under which context one’s entrepreneurial learning may enhance his/her entrepreneurial intention.

3.2 Advances in protection from tobacco pollution, second- and third-hand smoke (RF-1204-3)

PurposeTheory of planned behavior (TPB) has been used to study the impact of entrepreneurial education (EE) on entrepreneurial intention (EI) for more than 20 years, yet an intensive literature review reveals that there are gaps in both the conceptual models and the research methods. The purpose of this paper is to investigate the impact of EE on EI with a view to address the gaps in previous research.Design/methodology/approachThis research proposes a conceptual model that links the entire antecedent variables of TPB and the elaborated four components of entrepreneurship education (Why, What, How, and Who). The model is tested by a structural equation modeling with the empirical data from 200 engineering students from three universities in Hong Kong.FindingsThe empirical test reveals that the four components of entrepreneurial education do influence attitude, social norm, self-efficacy, and EI, correspondingly. Additionally, it also reveals that the four EE components and the three TPB antecedent variables are also interrelated with each other.Originality/valueThis study bridges specific education components and EI, providing significant insight into how the key components influence the entrepreneurial attitudes and intentions of students. It fills the gap in the knowledge required for fostering EI through entrepreneurship education. It not only answers the question on whether EE influences EI but also on how to nurture the intention by designing a relevant EE course.

This study aimed to gauge the Hong Kong’s public support towards new e-cigarette regulation, and examine the associated factors of the support. We conducted a two-stage, randomized cross-sectional telephone-based survey to assess the public support towards the banning of e-cigarette promotion and advertisement, its use in smoke-free venues, the sale to people aged under 18, and regulating the sale of nicotine-free e-cigarettes. Adults (aged 15 years or above) who were never smoking (n = 1706), ex-smoking (n = 1712) or currently smoking (n = 1834) were included. Over half (57.8%) supported all the four regulations. Banning of e-cigarette promotion and advertisement (71.7%) received slightly less support than the other three regulations (banning of e-cigarette use in smoke-free venues (81.5%); banning of e-cigarette sale to minors (93.9%); sale restriction of nicotine-free e-cigarettes (80.9%)). Current smokers, and perceiving e-cigarettes as less harmful than traditional cigarettes or not knowing the harmfulness, were associated with a lower level of support. Our findings showed a strong public support for further regulation of e-cigarettes in Hong Kong. Current stringent measures on tobacco and e-cigarettes, and media reports on the harmfulness of e-cigarettes may underpin the strong support for the regulation.