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1.
Addict Behav Rep ; 19: 100548, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38706887

ABSTRACT

Introduction: Smoking topography (ST) describes smoking behavior and patterns. Removal of the cigarette filter and subsequent impact on ST has not been investigated. This is the first clinical trial comparing ST for filtered and unfiltered cigarettes in a naturalistic experiment. Methods: We conducted a crossover clinical trial following established people who smoke cigarettes (n = 32) for two weeks under filtered and unfiltered smoking experimental conditions. Participants (50 % female, mean age 38.3 yr.) smoked in each experimental condition followed by a 3-week post-washout period. ST (puff count, volume, duration, peak and average flow) was measured at six time-points. Statistical analysis included a linear repeated mixed-effects model of smoking experimental conditions by visit number and sex. Results: Average flow (ml/sec) was significantly less for filtered smoking (-6.92 lower (95 % CI: -13.44 to -0.39), p < 0.05), thus demonstrating more resistance on inhalation. No significant differences were found between filtered or unfiltered experimental conditions for other ST variables. However, average volume and average peak flow were somewhat higher in unfiltered smoking, and lower mean puff counts/cigarette were observed for unfiltered compared to filtered smoking. Conclusion: Lower average flow rates were associated with filtered cigarette smoking. No significant differences were found for other ST variables between smoking experimental conditions. ST measurements comparing cigarette smoking conditions may determine if product regulatory changes, such as removing the cigarette filter could impact smoking behavioral patterns among people who smoke. This proof-of-principle study measuring ST may be replicated in larger trials to determine potential behavioral changes in smoking unfiltered cigarettes.

2.
J Am Pharm Assoc (2003) ; : 102131, 2024 May 23.
Article in English | MEDLINE | ID: mdl-38796160

ABSTRACT

BACKGROUND: Pharmacy accessibility is crucial for equity in healthcare access because community pharmacists may reach individuals who do not have access to other healthcare providers. OBJECTIVE: To determine whether spatial access to pharmacies differs among racial/ethnic groups across the rural-urban continuum. METHODS: We obtained a 30% random sample of the Research Triangle Institute (RTI) synthetic population, sampled at the census block level. For each individual, we defined optimal pharmacy access as having a driving distance ≤2 miles to the closest pharmacy in urban counties, ≤5 miles in suburban counties, and ≤10 miles in rural counties. We used a logistic regression model to measure the association between race/ethnicity and pharmacy access, while controlling for racial/ethnic composition of the census tract, Area Deprivation Index, income, age, gender, and US region. The model included an interaction between race/ethnicity and urbanicity to evaluate whether racial/ethnic inequities differed across the rural-urban continuum. RESULTS: The sample included 90,749,446 individuals of whom 80.6% had optimal pharmacy access. Racial/ethnic inequities in pharmacy access differed across the rural-urban continuum (p-value for interaction= <0.0001). In rural areas, Black (OR 0.87; 95%CI 0.86-0.87), Hispanic (OR 0.80; 95%CI 0.79-0.80), and Indigenous (OR 0.47; 95%CI 0.47-0.48) individuals had lower odds of optimal pharmacy access, compared to White individuals. Hispanic (OR 0.96; 95%CI 0.96-0.97) and Indigenous individuals (OR 0.75; 95%CI 0.75-0.76) had lower odds of optimal pharmacy access compared to White individuals in suburban areas. In Western states, Asian had lower odds of optimal pharmacy access in suburban (OR 0.88; 95%CI 0.86-0.90) and rural areas (OR 0.91; 95%CI 0.87-0.95) compared to White Individuals. CONCLUSIONS: Racial/ethnic inequities in spatial access to community pharmacies vary between urban and rural communities. Underrepresented racial/ethnic groups have significantly lower pharmacy access in rural and some suburban areas, but not in urban areas.

3.
JAMA Netw Open ; 6(8): e2327315, 2023 08 01.
Article in English | MEDLINE | ID: mdl-37540516

ABSTRACT

This cross-sectional study evaluates whether there is an association between historic redlining and living within 1 or 2 miles of a pharmacy.


Subject(s)
Pharmacies , Humans , Health Services Accessibility
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