Magnitude of Anemia in Geriatric Population Visiting Outpatient Department at the University of Gondar Referral Hospital, Northwest Ethiopia: Implication for Community-Based Screening

Objective. This study is aimed at assessing the magnitude and its associated factors of anemia in geriatric population visiting outpatient department at the University of Gondar referral hospital, northwest Ethiopia. Method. A cross-sectional study was conducted among elder patients in Gondar town, North Gondar District, in May 2013. A total of 200 randomly selected geriatric population participated in the study. Summary statistics were computed and presented in tables and figure. Both bivariate and multivariable binary logistic regression were fitted to identify associated factors. A P value < 0.05 was considered as statistically significant. Result. The median age of the study participants was 65 years (Interquartile range (IQR): 8 years). The prevalence of anemia in the geriatric patients was 54.5% (n=109), of which 61.5% (n=67) were males. Mild type anemia was predominant, 55.96% (n=61). Geriatric patients with an elevated erythrocyte sedimentation rate (AOR = 9.04, 95% CI: 4.2–19.7) and who are vegetarians (AOR = 2.2, 95% CI: 1.03–4.71) were at high risk of developing anemia. Conclusion. The magnitude of anemia was high in geriatrics. Mild anemia was the predominant type. Vegetarians and geriatrics with elevated erythrocyte sedimentation rate were more likely to develop anemia. Hence, early diagnosis and management of anemia have paramount importance to prevent adverse outcomes in geriatrics

Initiation, continuation of use and cessation of alternative tobacco products among young adults: A qualitative study

Introduction Diverse non-cigarette alternative tobacco products are increasingly popular in the United States. This study investigates the reasons why young adults initiate and continue the use of these products, as well as potential motivations and approaches for quitting. Products assessed include cigarettes, little cigars/cigarillos (LCCs), smokeless tobacco, e-cigarettes, and hookahs. Methods We conducted 60 telephone interviews, of 30-minute duration, with tobacco users enrolled in colleges in Georgia. Qualitative analysis was used to identify themes emerging from the data. Results Reasons for initiation, continued use, and (potential) cessation showed similarities and differences across products. Most commonly cited reasons for initiation included: peer influence (all products), flavors/tastes (all products except cigarettes), and easy environmental access and/or low costs (LCCs, smokeless tobacco, and e-cigarettes). Participants discussed several influences on continued use, such as peer influence (cigarettes, LCCs, and hookahs), stress management (all products except hookahs), and use with other substances (cigarettes, LCCs, and hookahs). Primary motivations for cessation mentioned by participants were family responsibilities (cigarettes, e-cigarettes, and hookahs) and health concerns (all products except e-cigarettes). Frequently used cessation strategies included avoidance of other tobacco users (cigarettes, LCCs, and hookahs) and a reduction of nicotine intake (cigarettes and e-cigarettes). Conclusions Our findings suggest that researchers should consider the differences in reasons for use and discontinued use of tobacco products in order to develop targeted messaging strategies, particularly noting the differential impact of interpersonal influences and health concerns. We also point to a need for regulatory action that limits diversification and accessibility of different products

Use and Perceptions of Opioids Versus Marijuana among Cancer Survivors

Public health concerns regarding opioids and marijuana have implications for their medical use. This study examined use motives and perceived barriers in relation to opioid and marijuana use and interest in use among US adult cancer survivors. Self-administered surveys were distributed using social media to assess use motives and perceived barriers among participants living with cancer. Overall, 40.9% of cancer survivors reported current (past 30-day) use of opioids, 42.5% used marijuana, and 39.7% used both. The most common use motives for either/both drugs were to cope with pain and stress/anxiety (\u3e70%). Highest-rated barriers to using either/both drugs were missing symptoms of worsening illness and not wanting to talk about their symptoms. Controlling for sociodemographics, binary logistic regression indicated that current opioid use was associated with reporting greater barriers to use (OR = 1.17, p =.011; Nagelkerke R-square =.934) and that current marijuana use was associated with reporting greater barriers to use (OR = 1.37, p =.003; Nagelkerke R-square =.921). Cancer survivors report various use motives and barriers to use regarding opioids and marijuana. While use motives and barriers for both drugs were similar, these constructs were differentially associated with use and interest in use across drugs. Understanding patients’ perceptions about opioids and marijuana is an essential component to effectively manage symptoms related to a cancer diagnosis and improve quality of life for cancer survivors

Young Adults\u27 Vaping, Readiness to Quit, and Recent Quit Attempts: The Role of Co-use With Cigarettes and Marijuana.

INTRODUCTION: E-cigarette cessation intervention research is limited. Young adult e-cigarette use and cessation is particularly nuanced, given various user profiles (ie, polytobacco use, co-use with marijuana) warranting different intervention approaches. METHODS: The current study is an analysis of baseline survey data (collected September–December 2018) among 1133 young adult (aged 18–34) e-cigarette users in a 2-year longitudinal study. We examined (1) e-cigarette user profiles (ie, e-cigarette only; e-cigarette/other tobacco; e-cigarette/marijuana; e-cigarette/other tobacco/marijuana) and (2) correlates of readiness to quit e-cigarette use in the next 6 months and past-year e-cigarette quit attempts. RESULTS: In this sample (M(age) = 23.91, 47.3% male, 35.5% sexual minority, 75.2% White, 13.7% Hispanic), e-cigarette user profiles were as follows: 16.8% e-cigarettes-only, 23.4% e-cigarette/other tobacco, 18.0% e-cigarette/marijuana, and 41.8% e-cigarette/other tobacco/marijuana. Multinomial logistic regression (referent: e-cigarette-only use) indicated that all polyuse groups were more likely to use high-nicotine e-liquids (containing ≥9 mg of nicotine). Other predictors included e-cigarettes/other tobacco users being older and male; e-cigarettes/marijuana users using closed systems; and e-cigarettes/other tobacco/marijuana users being sexual minority (p’s < .01). Readiness to quit e-cigarettes and past-year quit attempts were reported by 20.8% and 32.3%, respectively. Per multilevel regression, readiness to quit and quit attempts correlated with using fewer days, high-nicotine e-liquids, and closed systems, but not marijuana, as well as being heterosexual and Black (vs White); readiness to quit also correlated with being single; past-year quit attempts correlated with other tobacco use and being Hispanic. CONCLUSIONS: Young adult e-cigarette users demonstrate distinct user profiles and cessation-related experiences that should be considered in developing cessation interventions. IMPLICATIONS: The vast majority of young adult e-cigarette users use other tobacco products and marijuana. Unfortunately, few reported readiness to quit or attempting quit. Moreover, certain subgroups (eg, sexual/racial/ethnic minorities) are more likely to be ready or attempt to quit, but may not be successful. Vaping cessation interventions must attend to these nuances

Reasons for Polytobacco Use among Young Adults: Scale Development and Validation

Introduction Limited research has examined reasons for polytobacco use, an increasing public health problem, particularly among young adults. We examined reasons for polytobacco use among users of more than one tobacco product in the past 4 months enrolled in an ongoing six-wave longitudinal study of 3,418 students aged 18-25 from seven US colleges and universities. Methods An expert panel generated items related to reasons for polytobacco use, included in Wave 3 (administered in Summer 2015). Participants reporting use of more than one tobacco product in the past four months (n=540) were asked to complete the Reasons for Polytobacco Use scale and measures related to tobacco/nicotine use/dependence, use motives, perceptions of tobacco, parental/friend use, other substance use, and mental health. We conducted a factor analysis and then examined convergent and discriminant validity for the derived factors. Results Our sample was an average age of 20.40 (SD=1.84), 48.0% male, and 21.9% Black. Four factors were identified: Instrumentality, Social Context, Displacement, and Experimentation. Instrumentality was the only factor associated with little cigar/cigarillo and marijuana use. Displacement and Social Context showed similar associations; however, Social Context was associated with having friends who used tobacco while Displacement was not. Experimentation was associated with greater perceived addictiveness and harm of using tobacco products as well as greater perceived social acceptability of tobacco use. Conclusions Each of the four factors identified demonstrated unique convergent and discriminant validity. The use of this scale to characterize polytobacco using young adults may help inform and target cessation or prevention interventions

Vape Shop Owners/Managers\u27 Opinions About FDA Regulation of E-Cigarettes.

INTRODUCTION: In the United States, prominent sources of vaping products are specialty vape shops, which are subject to Food and Drug Administration (FDA) regulation. This study interviewed vape shop owners/managers to assess: (1) reasons for entering into or engaging in vape shop retail; (2) personnel training, particularly with regard to FDA and state regulations; and (3) how existing regulations are perceived and the anticipated impact of future regulation. AIMS AND METHODS: The current study involved phone–based semi-structured interviews of 45 vape shop owners/managers in six metropolitan statistical areas (Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, and Seattle) during Summer 2018 as FDA regulations regarding minimum age verification, bans on product sampling, and health warnings (among others) were first being implemented. RESULTS: Vape shop owners/managers reported: (1) entering the industry with positive intentions for their customers, (2) training their personnel to adhere to regulations and provide good customer service, and (3) significant concerns about the impact of FDA regulations. With regard to the latter, participants reported mistrust of the intentions of the FDA regulations, financial implications of the regulations (particularly for small businesses), difficulty understanding and interpreting the regulations, insufficient evidence to support the regulations, negative impact on customer service, negative impact on product offerings and product innovation/advancement, and negative implications of flavor bans and/or restrictions on sale of flavors. CONCLUSIONS: These findings indicate the complexities in implementing tobacco regulations, particularly from the perspective of the vape shop industry. Current findings should inform future regulatory actions and efforts to assess compliance with regulations. IMPLICATIONS: Current and impending FDA regulation of vaping products present a critical period for examining regulatory impact on the vape shop industry. Current results indicated that many vape shop owners/managers reporting positive intentions for engaging in the vaping product industry and in training vape shop personnel to adhere to regulations. However, the majority reported concerns about FDA regulation and other state/local regulations that could have negative implications for their industry. Particular concerns include difficulty understanding the regulations due to complexity, vagueness, and changes in language and/or interpretation over time. These issues have implications for compliance that must be addressed

Distribution of <i>TAS2R38</i> haplotypes between smokers and non-smokers in the DHS population.

<p>Distribution of <i>TAS2R38</i> haplotypes between smokers and non-smokers in the DHS population.</p