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We aimed to assess Centers for Disease Control and Prevention (CDC) data systems on the extent of data collection on sex, sexual orientation, and gender identity as well as on age and race/ethnicity. Between March and September 2019, we searched 11 federal websites to identify CDC-supported or -led U.S. data systems active between 2015 and 2018. We searched the systems’ website, documentation, and publications for evidence of data collection on sex, sexual orientation, gender identity, age, and race/ethnicity. We categorized each system by type (disease notification, periodic prevalence survey, registry/vital record, or multiple sources). We provide descriptive statistics of characteristics of the identified systems. Most (94.1%) systems we assessed collected data on sex. All systems collected data on age, and approximately 80% collected data on race/ethnicity. Only 17.7% collected data on sexual orientation and 5.9% on gender identity. Periodic prevalence surveys were the most common system type for collecting all the variables we assessed. While most U.S. public health data and monitoring systems collect data disaggregated by sex, age, and race/ethnicity, far fewer do so for sexual orientation or gender identity. Standards and examples exist to aid efforts to collect and report these vitally important data. Additionally important is increasing accessibility and appropriately tailored dissemination of reports of these data to public health professionals and other collaborators.

Country-specific estimates of tobacco use among people living with HIV (PLWH) are lacking for much of sub-Saharan Africa. We aim to evaluate the association between the HIV status and tobacco product use status, frequency, and intensity, using nationally representative data from Zambia. We analyzed data from the 2018 Demographic and Health Survey conducted in Zambia among women aged 15–49 years and men aged 15–59 years. We performed logistic regression to assess the associations of HIV status, selected sociodemographic, and other characteristics with indicators of tobacco use (i.e., status, frequency, and intensity). Among women, 14.3% tested positive for HIV and 2.7% reported current smoking or tobacco use; women living with HIV were more likely to report currently smoking or using tobacco than women living without HIV (4.4% vs. 2.4%; aPR: 1.46). Among men, 8.4% tested positive for HIV and 19.5% reported current smoking; men living with HIV were more likely than men living without HIV to report current smoking (27.8% vs. 18.7%; aPR: 1.22). Several sociodemographic characteristics were associated with tobacco use, including age, residence (urban/rural), education level, employment status, and wealth index. The frequency and intensity of smoking among men who currently smoked did not differ by HIV status. Tobacco use was more likely in PLWH than those without HIV in Zambia. Our findings highlight the need to encourage and support tobacco cessation among PLWH, possibly by offering cessation services at existing intersections with health care or integrating cessation support into mHealth and other alternative models of care.

INTRODUCTION Noticing health warnings on cigarette packages has been associated with thinking about quitting. This study examined sociodemographic characteristics associated with awareness of health warnings on cigarette packages and thinking about quitting because of health warning labels among adults who currently smoked tobacco. METHODS We analyzed data from the 2017 Zambia WHO STEPS survey (STEPwise approach to surveillance) for noncommunicable disease risk factors. Descriptive analyses and logistic regression were performed to assess the association of select sociodemographic characteristics with awareness of health warnings and thinking about quitting because of health warnings. RESULTS Adults who currently smoked tobacco who were aged 30-44 years, of Chewa ethnicity, or with a formal education, were more likely to be aware of health warnings than those aged 18-29 years (adjusted prevalence ratio, APR=1.26; 95% CI: 1.02-1.54), of Bemba ethnicity (APR=1.43; 95% CI: 1.17-1.74), or with no formal education (APR: 2.61-5.95). Among all adults who currently smoked, those of Chewa ethnicity (APR=1.55; 95% CI: 1.03-2.35), or with a formal education (APR:1.80-4.38), were more likely to report thinking about quitting because of health warnings than those who were of Bemba ethnicity or with less than primary school education level. Women who currently smoked were 49% less likely (APR=0.51; 95% CI: 0.23-0.84) to report thinking about quitting than men. Among a subset of adults who currently smoked who were aware of health warning labels, no sociodemographic characteristics were significantly associated with thinking about quitting in unadjusted or adjusted models. CONCLUSIONS Sociodemographic characteristics such as sex, ethnicity, and education level were significantly associated with awareness of cigarette health warnings. Among cigarette smokers aware of health warnings, no sociodemographic differences in thinking about quitting were found. Tobacco control campaigns may need to target people of ethnicities with the highest smoking prevalence in the country.

INTRODUCTION Tobacco is the leading cause of preventable death in the world. Identification of factors associated with quit attempts and successful quitting can help strengthen tobacco cessation programs. In Ethiopia, no prior study of such factors exists. Our aim was to identify factors associated with quit attempts and successful quitting among adults who smoke tobacco in Ethiopia. METHODS We used the Ethiopian 2016 Global Adult Tobacco Survey (GATS) data (n=10150). GATS is a nationally representative household survey that collects data on sociodemographic and tobacco-related characteristics. We calculated prevalence of reported past 12 months quit attempts and successful quitting and performed logistic regression to obtain prevalence ratios with 95% confidence intervals. A p<0.05 was considered statistically significant. RESULTS Overall 42.0% of people who smoked tobacco made a quit attempt. Men were more likely (APR=3.9; 95% CI: 1.4–10.7) to make a quit attempt compared to women but were less likely to successfully quit (APR=0.6; 95% CI: 0.3–0.9). Those aware of the health harms of tobacco were 2.5 (95% CI: 1.1–5.5) and 3.9 (95% CI: 1.8–8.5) times as likely to make a quit attempt and successfully quit, respectively, than those unaware. Receiving healthcare provider advice to quit was not associated with quit attempts. CONCLUSIONS More than 4 in 10 people smoking tobacco in Ethiopia are making attempts to quit. Receipt of healthcare provider advice to quit is not yet associated with quit attempts in Ethiopia; however, awareness of the health harms of tobacco is a powerful predictor of quit attempt and success in quitting. Improved access to cessation support and expanded awareness of the health harms of tobacco are urgently needed to enhance both quit attempts and success across Ethiopia.