Exploring context specific anti-smoking warning labels on cigarette packs: A quasi-experiment.

OBJECTIVE: To evaluate the impact of introducing newly-designed warning labels in relation to the available conventional cigarette packs. METHODS: The quasi-experimental study was conducted at four co-educational academic institutions selected using cluster random sampling technique in Gulshan-e-Iqbal town of Karachi from September 2016 to October 2017. The respondents, aged 16-24 years, were exposed with an experimental condition using five graphic cards; each comprising of two separate labels; label 1 being a cigarette pack currently rotated, and label 2 being the newly designed graphic and text warning label. Each participant responded over efficacy measures for each label separately. The difference in the efficacy scores between the two labels was assessed using repeated measure ANOVA with Bonferroni correction in analysis. RESULTS: Of the 388 students, 256(66%) were males and 132(34%) were females. The overall mean age was 18±2.76 years. Also, 188(48.5%) subjects were studying in higher secondary, 179(46.1%) undergraduate and 21(5.4%) postgraduate level. Of them, 104(26.8%) were ever-smokers and 284(73.2%) reported to be never-smokers. A difference was observed in the efficacy of the newly designed label "poverty" compared with current cigarette pack on the measure of not to start smoking(p=0.006). Never-smoking males perceived newly-designed label element 'dead person' as fear-arousing (p=0.045), while never-smoking females considered 'look after family' as efficacious (p=0.024). CONCLUSIONS: There was some evidence of variation in efficacy scores after stratifying on gender and smoking status. A more holistic approach is needed in this regard.

Multi-attribute decision-making method based on complex T-spherical fuzzy frank prioritized aggregation operators.

This article aims to introduce new aggregation operators (AOs) by assigning the positive real values known as priority degree among the strict priority levels. To Develop the complex T-spherical fuzzy (TSF) frank prioritized (CTSFFP) AOs, using the frank t-norm (FTN) and frank t-conorm (FTCN) operational laws, also explain sum, product, and power operations under complex TSF information. The TSF set framework has a superior structure for uncertain data handling than an existing intuitionistic fuzzy set (FS), Pythagorean FS (PyFS), q-rung orthopair FS (q-ROFS), picture FS (PFS), and spherical FS (SFS). Because the structure of the TSF set has the most generalized form of IFS, PyFS, q-ROFS, PFS, and SFS, it provides greater freedom to decision experts for handling information where these discussed sets fail to aggregate ambiguous details. Utilizing the idea of priority degree, proposed new AOs called CTSFFP weighted averaging (CTSFFPWA), CTSFFP ordered weighted averaging (CTSFFPOWA), CTSFFP hybrid weighted averaging (CTSFFPHWA), CTSFFP weighted geometric (CTSFFPWG), CTSFFP ordered weighted geometric (CTSFFPOWG), CTSFFP hybrid weighted geometric (CTSFFPHWG) operators. Some desirable properties of AOs, such as idempotency, monotonicity, and boundedness, are also discussed. To show the importance of proposed AOs, the real-life problem of multi-attribute decision-making (MADM) is solved with the help of developed CTSFFPWA and CTSFFPWG operators. To enhance the proposed AOs' superiority, compare the diagnosed theory with existing AOs and give conclusions.