METHODS: Score sheet based on WHO FCTC Article 5.3 Guidelines sent to correspondents in seven Southeast Asian countries, using a scoring system designed with the help of tobacco control experts and validated through focused group discussions.
RESULTS: The seven countries ranked from the lowest level of interference to the highest are Brunei, Thailand, Lao PDR, Cambodia, Philippines, Malaysia and Indonesia. Countries that face high levels of unnecessary interaction with the tobacco industry also face high levels of tobacco industry influence in policy development. Most governments do not allow any tobacco industry representatives on their delegation to sessions of the Conference of the Parties or its subsidiary bodies nor accept their sponsorship for delegates, but most governments still accept or endorse offers of assistance from the tobacco industry in implementing tobacco control policies. Most governments also receive tobacco industry contributions (monetary or in kind) or endorse industry corporate social responsibility activities. Governments do not have a procedure for disclosing interactions with the tobacco industry, but Lao PDR, Philippines and Thailand have instituted measures to prevent or reduce industry interference.
CONCLUSIONS: This Tobacco Industry Interference Index, based on the WHO FCTC Article 5.3 Guidelines, is a useful advocacy tool for identifying both progress and gaps in national efforts at implementing WHO FCTC Article 5.3.
OBJECTIVE: To assess and compare the RQoL of the occupationally exposed (firefighters and traffic police) and the occupationally unexposed populations in Penang, Malaysia.
METHODS: We recruited male traffic police and firefighters from 5 districts of Penang by convenient sampling during June to September 2018. Participants completed the SGRQ. Scores (symptoms, activity, impacts, total) were derived using a scoring calculator. Higher scores indicate poorer RQoL. Univariate and multivariate linear regression models were fitted to explore the relationship of the independent predictive factors with participants' RQoL.
RESULTS: We recruited 706 participants---211 firefighters, 198 traffic police, and 297 from general population. Smokers had significantly higher scores than non-smokers in all SGRQ domains. Regardless of smoking status, the "occupationally exposed group" had higher symptoms score than the "occupationally unexposed group," who had higher activity and impact scores. Smoking status, comorbidity status and monthly income were significant independent predictors of SGRQ total score.
CONCLUSION: In comparison with the general population, firefighters and traffic police reported poorer RQoL; smoking further deteriorated their respiratory health. There is a need to strengthen preventive health measures against occupational disease and smoking cessation among firefighters and traffic police.