The Impact of Cigarette Package Design & Plain Packaging on Female Youth in Brazil: Brand Appeal & Health-Related Perceptions

2011 ◽  
Author(s):  
Christine White ◽  
David Hammond
Keyword(s):  
Package Design ◽  
Female Youth ◽  
Plain Packaging ◽  
Health Related ◽  
The Impact ◽  
Cigarette Package

Impact of plain packaging of cigarettes on the risk perception of Uruguayan smokers: an experimental study

2017 ◽  
Vol 27 (5) ◽  
pp. 513-518 ◽  
Author(s):  
Jeffrey E Harris ◽  
Gastón Ares ◽  
Mariana Gerstenblüth ◽  
Leandro Machin ◽  
Patricia Triunfo
Keyword(s):  
Perceived Risk ◽  
Risk Perceptions ◽  
South American ◽  
South American Country ◽  
Package Design ◽  
Plain Packaging ◽  
The Impact ◽  
Cigarette Package ◽  
Cigarette Packs ◽  
Colour Graphic

BackgroundUruguay, a South American country of 3.4 million inhabitants that has already banned tobacco advertising, prohibited such terms as light, mild and low-tar and required graphic warnings covering 80% of cigarette packs, is considering the imposition of plain, standardised packaging.MethodsWe conducted an experimental choice-based conjoint analysis of the impact of alternative cigarette package designs on the risk perceptions of 180 adult current Uruguayan smokers. We compared plain packaging, with a standardised brand description and the dark brown background colour required on Australian cigarette packages, to two controls: the current package design with distinctive brand elements and colours; and a modified package design, with distinctive brand elements and the dark brown background colour. Graphic warnings were also varied.ResultsPlain packaging significantly reduced the probability of perceiving the stimulus cigarettes as less harmful in comparison to the current package design (OR 0.398, 95% CI 0.333 to 0.476, p<0.001) and the modified package design (OR 0.729, 95% CI 0.626 to 0.849, p<0.001).ConclusionsPlain packaging enhanced the perceived risk of cigarette products even in a highly regulated setting such as Uruguay. Both the elimination of distinctive brand elements and the use of Australia’s dark brown background colour contributed to the observed effect.

ACCESSIBLE HOUSING AND HEALTH-RELATED QUALITY OF LIFE: MEASUREMENTS OF WELLBEING OUTCOMES FOLLOWING HOME MODIFICATIONS

2016 ◽  
Vol 10 (2) ◽  
pp. 38 ◽  
Author(s):  
Phillippa Carnemolla ◽  
Catherine Bridge
Keyword(s):  
Quality Of Life ◽  
Mixed Method ◽  
Exploratory Research ◽  
Health Related Quality ◽  
Care Giving ◽  
Home Modifications ◽  
Related Quality ◽  
Health Related ◽  
The Impact

The multi-dimensional relationship between housing and population health is now well recognised internationally, across both developing and developed nations. This paper examines a dimension within the housing and health relationship – accessibility – that to date has been considered difficult to measure. This paper reports on the mixed method results of larger mixed-method, exploratory study designed to measure the impact of home modifications on Health-Related Quality of Life, supported by qualitative data of recipients’ experiences of home modifications. Data was gathered from 157 Australian HACC clients, who had received home modifications. Measurements were taken for both before and after home modifications and reveal that home modifications were associated with an average 40% increase in Health-Related Quality of Life levels. The qualitative results revealed that participants positively associated home modifications across six effect themes: increased safety and confidence, improved mobility at home, increased independence, supported care-giving role, increased social participation, and ability to return home from hospital. This exploratory research gives an insight into the potential for accessible architecture to impact improvements in community health and wellbeing.

scholarly journals The impact of lymphedema on health-related quality of life up to 10 years after breast cancer treatment

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Mads G. Jørgensen ◽  
Navid M. Toyserkani ◽  
Frederik G. Hansen ◽  
Anette Bygum ◽  
Jens A. Sørensen
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Treatment ◽  
Breast Cancer Treatment ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
The Impact

AbstractThe impact of breast cancer-related lymphedema (BCRL) on long-term quality of life is unknown. The aim of this study was to investigate the impact of BCRL on health-related quality of life (HRQoL) up to 10 years after breast cancer treatment. This regional population-based study enrolled patients treated for breast cancer with axillary lymph node dissection between January 1st 2007 and December 31th 2017. Follow up and assessments of the included patients were conducted between January 2019 and May 2020. The study outcome was HRQoL, evaluated with the Lymphedema Functioning, Disability and Health Questionnaire, the Disabilities of the Arm, Shoulder and Hand Questionnaire and the Short Form (36) Health Survey Questionnaire. Multivariate linear logistic regression models adjusted for confounders provided mean score differences (MDs) with 95% confidence intervals in each HRQoL scale and item. This study enrolled 244 patients with BCRL and 823 patients without BCRL. Patients with BCRL had significantly poorer HRQoL than patients without BCRL in 16 out of 18 HRQoL subscales, for example, in physical function (MDs 27, 95%CI: 24; 30), mental health (MDs 24, 95%CI: 21; 27) and social role functioning (MDs 20, 95%CI: 17; 23). Age, BMI, BCRL severity, hand and dominant arm affection had only minor impact on HRQoL (MDs < 5), suggesting a high degree of inter-individual variation in coping with lymphedema. This study showed that BCRL is associated with long-term impairments in HRQoL, especially affecting the physical and psychosocial domains. Surprisingly, BCRL diagnosis rather than clinical severity drove the largest impairments in HRQoL.

scholarly journals Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yahya Albalawi ◽  
Jim Buckley ◽  
Nikola S. Nikolov
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Comprehensive Evaluation ◽  
Classification Problem ◽  
Data Sets ◽  
Word Embeddings ◽  
Data Set ◽  
Lower Accuracy ◽  
Health Related ◽  
The Impact

AbstractThis paper presents a comprehensive evaluation of data pre-processing and word embedding techniques in the context of Arabic document classification in the domain of health-related communication on social media. We evaluate 26 text pre-processings applied to Arabic tweets within the process of training a classifier to identify health-related tweets. For this task we use the (traditional) machine learning classifiers KNN, SVM, Multinomial NB and Logistic Regression. Furthermore, we report experimental results with the deep learning architectures BLSTM and CNN for the same text classification problem. Since word embeddings are more typically used as the input layer in deep networks, in the deep learning experiments we evaluate several state-of-the-art pre-trained word embeddings with the same text pre-processing applied. To achieve these goals, we use two data sets: one for both training and testing, and another for testing the generality of our models only. Our results point to the conclusion that only four out of the 26 pre-processings improve the classification accuracy significantly. For the first data set of Arabic tweets, we found that Mazajak CBOW pre-trained word embeddings as the input to a BLSTM deep network led to the most accurate classifier with F1 score of 89.7%. For the second data set, Mazajak Skip-Gram pre-trained word embeddings as the input to BLSTM led to the most accurate model with F1 score of 75.2% and accuracy of 90.7% compared to F1 score of 90.8% achieved by Mazajak CBOW for the same architecture but with lower accuracy of 70.89%. Our results also show that the performance of the best of the traditional classifier we trained is comparable to the deep learning methods on the first dataset, but significantly worse on the second dataset.

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