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1.
Gates Open Res ; 3: 8, 2019 Jan 17.
Artigo em Inglês | MEDLINE | ID: mdl-30740591

RESUMO

Background : Tobacco smoking remains a leading risk factor for disease burden globally. In India alone, about 1 million deaths are caused annually by smoking. Although increasing tobacco prices has consistently been found to be the most effective intervention to reduce tobacco use, the documentation of prices and taxes across time and space has not been an essential component of tobacco control surveillance in most jurisdictions. This study aimed to examine, using graphical methods, trends in smoking tobacco taxes and prices in India at national and state-level. Methods : We used retail prices, price indices, and unit values (household expenditures on a commodity divided by the quantity purchased) collected and reported by government agencies. For bidis and cigarettes, we examined current and real (inflation-adjusted) prices, affordability (cost in terms of income), and key tax changes at both national and state-level. Results : We show that real prices of bidis and cigarettes were relatively flat (even decreasing in the case of bidis) between 2000 and 2007, and clearly increasing from 2010. When rising income is taken into account, however, both cigarettes and bidis have become more affordable since 2000. We found that some but not all tax changes were accompanied by price changes and in particular, that tax decreases did not result in price decreases. Conclusion : It is feasible to evaluate tax and price policies at national and regional level using routinely collected data.

2.
Otolaryngol Head Neck Surg ; 159(1): 59-67, 2018 07.
Artigo em Inglês | MEDLINE | ID: mdl-29513083

RESUMO

Objective To characterize and identify risk factors for 30-day surgical site infections (SSIs) in patients with head and neck cancer who underwent microvascular reconstruction. Study Design Cross-sectional study with nested case-control design. Setting Nine American tertiary care centers. Subjects and Methods Hospitalized patients were included if they underwent head and neck cancer microvascular reconstruction from January 2003 to March 2016. Cases were defined as patients who developed 30-day SSI; controls were patients without SSI at 30 days. Postoperative antibiotic prophylaxis (POABP) regimens were categorized by Gram-negative (GN) spectrum: no GN coverage, enteric GN coverage, and enteric with antipseudomonal GN coverage. All POABP regimens retained activity against anaerobes and Gram-positive bacteria. Thirty-day prevalence of and risk factors for SSI were evaluated. Results A total of 1307 patients were included. Thirty-day SSI occurred in 189 (15%) patients; median time to SSI was 11.5 days (interquartile range, 7-17). Organisms were isolated in 59% of SSI; methicillin-resistant Staphylococcus aureus (6%) and Pseudomonas aeruginosa (9%) were uncommon. A total of 1003 (77%) patients had POABP data: no GN (17%), enteric GN (52%), and antipseudomonal GN (31%). Variables independently associated with 30-day SSI were as follows: female sex (adjusted odds ratio [aOR], 1.6; 95% CI, 1.1-2.2), no GN POABP (aOR, 2.2; 95% CI, 1.5-3.3), and surgical duration ≥11.8 hours (aOR, 1.9; 95% CI, 1.3-2.7). Longer POABP durations (≥6 days) or antipseudomonal POABP had no association with SSI. Conclusions POABP without GN coverage was significantly associated with SSI and should be avoided. Antipseudomonal POABP or longer prophylaxis durations (≥6 days) were not protective against SSI. Antimicrobial stewardship interventions should be made to limit unnecessary antibiotic exposures, prevent the emergence of resistant organisms, and improve patient outcomes.


Assuntos
Antibioticoprofilaxia , Neoplasias de Cabeça e Pescoço/cirurgia , Microvasos/cirurgia , Infecção da Ferida Cirúrgica/prevenção & controle , Idoso , Estudos de Casos e Controles , Estudos Transversais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Fatores de Risco , Infecção da Ferida Cirúrgica/epidemiologia , Procedimentos Cirúrgicos Vasculares
3.
Addiction ; 108(4): 799-808, 2013 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-23216738

RESUMO

AIMS: To examine the relationships between income, income inequality and current smoking among youth in low- and middle-income countries. DESIGN: Pooled cross-sectional data from the Global Youth Tobacco Surveys, conducted in low- and middle-income countries, were used to conduct multi-level logistic analyses that accounted for the nesting of students in schools and of schools in countries. PARTICIPANTS: A total of 169 283 students aged 13-15 from 63 low- and middle-income countries. MEASUREMENTS: Current smoking was defined as having smoked at least one cigarette in the past 30 days. Gross domestic product (GDP) per capita was our measure of absolute income. Contemporaneous and lagged (10-year) Gini coefficients, as well as the income share ratio of the top decile of incomes to the bottom decile, were our measures of income inequality. FINDINGS: Our analyses reveal a significant positive association between levels of income and youth smoking. We find that a 10% increase in GDP per capita increases the odds of being a current smoker by at least 2.5%, and potentially considerably more. Our analyses also suggest a relationship between the distribution of incomes and youth smoking: youth from countries with more unequal distributions of income tend to have higher odds of currently smoking. CONCLUSIONS: There is a positive association between gross domestic product and the odds of a young person in a low- and middle-income country being a current smoker. Given the causal links between smoking and a wide range of youth morbidities, the association between smoking and income inequality may underlie a substantial portion of the health disparities observed that are currently experiencing rapid economic growth.


Assuntos
Países em Desenvolvimento/estatística & dados numéricos , Fumar/epidemiologia , Adolescente , Estudos Transversais , Países em Desenvolvimento/economia , Feminino , Produto Interno Bruto/estatística & dados numéricos , Humanos , Renda/estatística & dados numéricos , Masculino , Fumar/economia , Fatores Socioeconômicos
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