Social determinants of health (SDOH) are a broad array of social and contextual conditions where persons are born, live, learn, work, play, worship, and age that influence their physical and mental wellbeing and quality of life. Using 2022 Behavioral Risk Factor Surveillance System data, this study assessed measures of adverse SDOH and health-related social needs (HRSN) among U.S. adult populations. Measures included life satisfaction, social and emotional support, social isolation or loneliness, employment stability, food stability/security, housing stability/security, utility stability/security, transportation access, mental well-being, and health care access. Prevalence ratios were adjusted for age, sex, education, marital status, income, and self-rated health. Social isolation or loneliness (31.9%) and lack of social and emotional support (24.8%) were the most commonly reported measures, both of which were more prevalent among non-Hispanic (NH) American Indian or Alaska Native, NH Black or African American, NH Native Hawaiian or other Pacific Islander, NH multiracial, and Hispanic or Latino adults than among NH White adults. The majority of prevalence estimates for other adverse SDOH and HRSN were also higher across all other racial and ethnic groups (except for NH Asian) compared with NH White adults. SDOH and HRSN data can be used to monitor needed social and health resources in the U.S. population and help evaluate population-scale interventions.

INTRODUCTION: Survey breakoff is an important source of total survey error. Most studies of breakoff have been of web surveys-less is known about telephone surveys. In the past decade, the breakoff rate has increased in the Behavioral Risk Factor Surveillance System, the world's largest annual telephone survey. Analysis of breakoff in Behavioral Risk Factor Surveillance System can improve the quality of Behavioral Risk Factor Surveillance System. It will also provide evidence in research of total survey error on telephone surveys. METHODS: We used data recorded as breakoff in the 2018 and 2019 Behavioral Risk Factor Surveillance System. We converted questions and modules to a time variable and applied Kaplan-Meier method and a proportional hazard model to estimate the conditional and cumulative probabilities of breakoff and study the potential risk factors associated with breakoff. RESULTS: Cumulative probability of breakoffs up to the end of the core questionnaire was 7.03% in 2018 and 9.56% in 2019. The highest conditional probability of breakoffs in the core was 2.85% for the physical activity section. Cumulative probability of breakoffs up to the end of the core was higher among those states that inserted their own questions or optional modules than among those that did not in both years. The median risk ratio of breakoff among all states was 5.70 in 2018 and 3.01 in 2019. Survey breakoff was associated with the length of the questionnaire, the extent of expected recollection, and the location of questions. CONCLUSIONS: Breakoff is not an ignorable component of total survey error and should be considered in Behavioral Risk Factor Surveillance System data analyses when variables have higher breakoff rates.

INTRODUCTION: Postnatal care (PNC) is an underused service in the continuum of care for mothers and infants in sub-Saharan Africa. There is little evidence on health facility characteristics that influence PNC utilization. Understanding PNC use in the context of individual, community, and health facility characteristics may help in the development of programs for increased use. METHODS: We analyzed data from 4,353 women with recent births in Kigoma Region, Tanzania, and their use of PNC (defined as at least 1 checkup in a health facility in the region within 42 days of delivery). We used a mixed-effects multilevel logistic regression analysis to explain PNC use while accounting for household, individual, and community characteristics from a regionwide population-based reproductive health survey and for distance to and adequacy of proximal health facilities from a health facility assessment. RESULTS: PNC utilization rate was low (15.9%). Women had significantly greater odds of PNC if they had a high level of decision-making autonomy (adjusted odds ratio [aOR]: 1.56; 95% confidence interval [CI]=1.11, 2.17); had a companion at birth (aOR: 1.57; 95% CI=1.19, 2.07); had cesarean delivery (aOR: 2.27; 95% CI=1.47, 3.48); resided in Kasulu district (aOR: 3.28; 95% CI=1.94, 5.52); or resided in a community that had at least 1 adequate health facility within 5 km (aOR: 2.15; 95% CI=1.06, 3.88). CONCLUSION: Women's decision-making autonomy and presence of companionship at birth, as well as proximity to a health facility with adequate infrastructure, equipment, and workforce, were associated with increased PNC use. More efforts toward advocating for the health benefits of PNC using multiple channels and increasing quality of care in health facilities, including companionship at birth, can increase utilization rates.

CONTEXT.—: Two major categories of laboratories performing nonwaived testing under the Clinical Laboratory Improvement Amendments of 1988 (CLIA) are the Certificate of Accreditation (CoA) and Certificate of Compliance (CoC) laboratories. Accreditation organizations collect more detailed laboratory personnel information than the Centers for Medicare & Medicaid Services (CMS) Quality Improvement and Evaluation System (QIES). OBJECTIVE.—: To estimate total numbers of testing personnel and testing volumes in CoA and CoC laboratories, by laboratory type and state. DESIGN.—: We developed a statistical inference method by using the respective correlations between testing personnel counts and test volume by laboratory type. RESULTS.—: QIES reported 33 033 active CoA and CoC laboratories in July 2021. We estimated testing personnel to be 328 000 (95% CI, 309 000-348 000), which is supported by the count of 318 780 reported by the US Bureau of Labor Statistics. There were twice as many testing personnel in hospital laboratories as in independent laboratories (158 778 versus 74 904, P < .001). Independent laboratories had the highest test volume per person, which was twice as high as physician office laboratories (62 228 versus 30 102, P < .001). Hospital and independent laboratories comprised 34% of all CoA and CoC laboratories but performed the largest portion of testing (81%). Physician office laboratories, accounting for 44% of all CoA and CoC laboratories, performed a comparatively low proportion of total tests (9%). CONCLUSIONS.—: Numbers of testing personnel vary considerably by laboratory type and across states. These data can provide valuable insight when assessing laboratory workforce training needs and planning for public health emergencies.

OBJECTIVE: Performance of maternal death surveillance and response (MDSR) relies on the system's ability to identify and notify all maternal deaths and its ability to review all maternal deaths by a committee. Unified definitions for indicators to assess these functions are lacking. We aim to estimate notification and review coverage rates in 30 countries between 2015 and 2019 using standardised definitions. DESIGN: Repeat cross-sectional surveys provided the numerators for the coverage indicators; United Nations (UN)-modelled expected country maternal deaths provided the denominators. SETTING: 30 low-income and middle-income countries responding to the Maternal Health Thematic Fund annual surveys conducted by the UN Population Fund between 2015 and 2019. OUTCOME MEASURES: Notification coverage rate ([Formula: see text]) was calculated as the proportion of expected maternal deaths that were notified at the national level annually; review coverage rate ([Formula: see text]) was calculated as the proportion of expected maternal deaths that were reviewed annually. RESULTS: The average annual [Formula: see text] for all countries increased from 17% in 2015 to 28% in 2019; the average annual [Formula: see text] increased from 8% to 13%. Between 2015 and 2019, 22 countries (73%) reported increases in the [Formula: see text]-with an average increase of 20 (SD 18) percentage points-and 24 countries (80%) reported increases in [Formula: see text] by 7 (SD 11) percentage points. Low values of [Formula: see text] contrasts with country-published review rates, ranging from 46% to 51%. CONCLUSION: MDSR systems that count and review all maternal deaths can deliver real-time information that could prompt immediate actions and may improve maternal health. Consistent and systematic documentation of MDSR efforts may improve national and global monitoring. Assessing the notification and review functions using coverage indicators is feasible, not affected by fluctuations in data completeness and reporting, and can objectively capture progress.

Objectives. To describe prevalence of breast milk feeding among people with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection during pregnancy and examine associations between breast milk feeding, timing of maternal infection before delivery, and rooming-in status during delivery hospitalization. Methods. We performed a retrospective cohort study using data from Massachusetts, Minnesota, Nebraska, Pennsylvania, and Tennessee of whether people with confirmed SARS-CoV-2 infection during pregnancy in 2020 initiated breast milk feeding at birth. Results. Among 11114 (weighted number) people with SARS-CoV-2 infection in pregnancy, 86.5% (95% confidence interval [CI]=82.4%, 87.6%) initiated breast milk feeding during birth hospitalization. People with infection within 14 days before delivery had significantly lower prevalence of breast milk feeding (adjusted prevalence ratio [APR]=0.88; 95% CI=0.83, 0.94) than did those with infection at least 14 days before delivery. When stratified by rooming-in status, the association between timing of infection and breast milk feeding remained only among infants who did not room in with their mother (APR=0.77; 95% CI=0.68, 0.88). Conclusions. Pregnant and postpartum people with SARS-CoV-2 infection should have access to lactation support and be advised about the importance of breast milk feeding and how to safely feed their infants in the same room. (Am J Public Health. 2022;112(S8):S787-S796. https://doi.org/10.2105/AJPH.2022.307023).

INTRODUCTION: Health-related behavioral risk factors and obesity are linked to high risk for multiple chronic diseases. We examined the prevalence of these risk factors among American Indians and Alaska Natives (AI/ANs) compared with that of non-Hispanic Whites and across Indian Health Service (IHS) regions. METHODS: We used 2017 Behavioral Risk Factor Surveillance System data from participants in 50 states and the District of Columbia to assess 4 behavioral risk factors (current cigarette smoking, heavy drinking, binge drinking, and physical inactivity) and obesity. We analyzed disparities in these risk factors between AI/AN and non-Hispanic White participants, nationwide and by IHS region, by conducting log-linear regression analyses while controlling for potential confounders. RESULTS: Nationwide, crude prevalence of current smoking, physical inactivity, and obesity were significantly higher among AI/AN than non-Hispanic White participants. After adjustment for sociodemographic characteristics, AI/AN participants were 11% more likely to report current smoking (P < .05) and 23% more likely to report obesity (P < .001) than non-Hispanic White participants. These patterns persisted in most IHS regions with some exceptions. In the Southwest region, AI/AN participants were 39% less likely to report current smoking than non-Hispanic White participants (P < .001). In the Pacific Coast region, compared with non-Hispanic White participants, AI/AN participants were 54% less likely to report heavy drinking (P < .01) but 34% more likely to report physical inactivity (P < .05). Across IHS regions, AI/AN participants residing in Alaska and the Northern Plains regions had the highest prevalence of current smoking and binge drinking, and those in the Southwest and Pacific Coast regions had the lowest prevalence of current smoking. AI/AN participants in the Southwest region had the lowest prevalence of physical inactivity, and those in the Southern Plains region had the highest prevalence of obesity. CONCLUSIONS: The findings of this study support the importance of public health efforts to address and improve behavioral risk factors related to chronic disease in AI/AN people, both nationwide and among IHS regions, through culturally appropriate interventions.

OBJECTIVE: To maintain acceptable response rates, the cost has grown for vaccination surveys that use traditional data collection modes, such as face-to-face and telephone interviews. Conducting a web or internet survey could be a low-cost alternative. However, because the internet is not used by everyone, we need to study how prevalence estimates in web surveys for vaccination surveillance could be affected by internet non-use. METHOD: We analyzed data from the 2013-2017 Behavioral Risk Factor Surveillance System to assess undercoverage biases from internet non-use by partitioning into proportion of internet non-users and difference in prevalence of influenza and pneumococcal vaccinations between internet and internet non-users, respectively. RESULTS: The proportion of internet non-users decreased monotonically from 43.3% in 2013 to 35.4% in 2017; however, the undercoverage bias from internet use for pneumococcal vaccination increased from 0.8 to 1.5 percentage points at the same time. Overall, the undercoverage bias was -1.1 and 1.5 percentage points for influenza vaccination and pneumococcal vaccination in 2017, respectively. For both vaccinations, we found large absolute and relative biases among certain demographic subgroups. CONCLUSIONS: Although the proportion of internet non-users decreased in recent years, undercoverage bias of hybrid internet survey for influenza and pneumococcal vaccinations did not decrease. Despite a small overall undercoverage bias, the bias in subpopulation groups was not negligible.

Health insurance coverage has increased overtime. This study examined the associations between health insurance status and adoption of health-related behaviors among US adults. Using data collected through the 2017 Behavioral Risk Factor Surveillance System on health insurance coverage and type of insurance, we examined four health-related behaviors (i.e., no tobacco use, nondrinking or moderate drinking, meeting aerobic physical activity recommendations, and having a healthy body weight) and their associations with health insurance status. We conducted log-linear regression analyses to assess the associations with adjusting for potential confounders. Results showed the percentages of adults who reported no tobacco use or meeting physical activity recommendations were significantly higher, and the percentages of adults with a healthy body weight were significantly lower among those who were insured versus uninsured, or among adults with private insurance versus uninsured. Adults with health insurance also had a higher prevalence of reporting all 4 health-related behaviors than those uninsured. These patterns persisted after multivariable adjustment for potential confounders including sociodemographics, routine checkup, and number of chronic diseases. Adults with public insurance were 7% more likely to report no tobacco use than adults who were uninsured. Additionally, adults with private insurance were 8% and 7% more likely to report no tobacco use and meeting physical activity recommendations, respectively, but 10% less likely to report nondrinking or moderate drinking than adults with public insurance. In conclusion, we found significant associations existed between having health insurance coverage and engaging in some health-related behaviors among US adults.

INTRODUCTION: In the last decade, response rates to the Behavioral Risk Factor Surveillance System (BRFSS) surveys have been declining. Attention has turned to the possibility of using web surveys to complement or replace BRFSS, but web surveys can introduce coverage bias as a result of excluding noninternet users. The objective of this study was to describe undercoverage bias of internet use. METHODS: We used data from 402,578 respondents who completed BRFSS questions in 2017 on internet use, self-reported health, current smoking, and binge drinking. We examined undercoverage bias of internet use by partitioning it into a product of 2 components: proportion of noninternet use and difference in the prevalences of interest (self-reported health, current smoking, and binge drinking) between internet users and noninternet users. RESULTS: Overall, the weighted proportion of noninternet use overall was 15.0%; the proportion increased with an increase in age and a decrease in education and, by race/ethnicity, was lowest among non-Hispanic white respondents. The overall relative bias was -19.2% for self-reported health, -4.0% for current cigarette smoking, and 8.4% for binge drinking. For all 3 variables of interest, we found large biases and relative biases in some demographic subgroups. CONCLUSION: Undercoverage bias of internet use existed in the 3 studied variables. Both proportion of noninternet users and difference in prevalences of studied variables between internet users and noninternet users contributed to the bias to different degrees. These findings have implications on helping health-related behavioral risk factor surveys transition to more cost-effective survey modes than telephone only.

INTRODUCTION: Dental care among children has increased over the past decade, and racial/ethnic disparities have narrowed for some groups. We measured changes in racial/ethnic disparities in annual dental care for children and adolescents aged 2 to 17 years and conducted multivariate analysis to study factors associated with changes in disparities over time. METHODS: We used Medical Expenditure Panel Survey data to obtain crude prevalence estimates of dental care use and calculated absolute disparities and changes in disparities for 3 racial/ethnic groups of children and adolescents compared with non-Hispanic white children and adolescents relative to fixed points in time (2001 and 2016). We pooled all single years of data into 3 data cycles (2001-2005, 2006-2010, and 2011-2016) and used multivariate regression to assess the relationship between dental care use and race/ethnicity, controlling for the covariates of age, sex, parents' education, household income, insurance status, and data cycle (time). RESULTS: Use increased by 18% only in low-income children and adolescents. Low-income Hispanic (adjusted prevalence ratio [aPR] = 0.98; 95% CI, 0.94-1.02) and Asian (aPR = 0.92; 95% CI, 0.83-1.02) participants showed no difference in dental care use relative to non-Hispanic white participants, but non-Hispanic black participants had significantly lower use (aPR = 0.84; 95% CI, 0.81-0.88). Public and private insurance were associated with a doubling of use among low-income children. CONCLUSION: We saw a modest increase in dental care use and a narrowing of disparities for some low-income children and adolescents. Use among low-income Hispanic and Asian participants "caught up" with use among Hispanic white participants but remained well below that of children and adolescents in families with middle and high incomes. Disparities persisted for non-Hispanic black participants at all income levels.

Introduction: The Behavioral Risk Factor Surveillance System (BRFSS) is composed of telephone surveys that collect state data from non-institutionalized U.S. adults regarding health-related risk behaviors and chronic health conditions. A new design was implemented in 2011 to include participants on cellular telephones. It is important to validate estimates since 2011. Methods: A total of 10 key and widely used variables between BRFSS and the National Health and Nutrition Examination Survey (NHANES) or National Health Interview Survey (NHIS) in 2011−2016 were compared. Data analysis was conducted in 2018. Results: Between BRFSS and NHANES, similar linear time trends of prevalences or means were found for 8 of 9 studied variables. There were no significant differences in the prevalences of the following variables: self-reported fair/poor health, ever told have diabetes, and ever told to have hypertension. In trend comparison of BRFSS versus NHIS, interactions of prevalence between survey and time period were not found for 5 variables: current smoking, self-reported fair/poor health, ever told have diabetes, and self-reported height and weight. Although there were significant differences in many estimates between BRFSS and either NHANES or NHIS, the absolute differences across years were rather small. Conclusions: Comparing BRFSS time trends with those of 2 national benchmark surveys in 10 key and widely used variables suggests that the trends of prevalences (or means) from BRFSS, NHANES, and NHIS are mostly similar. For many variables, despite statistically significant differences in the prevalences (or means) between surveys, absolute differences in most cases were small and not meaningful from a public health surveillance perspective.

Introduction: In the U.S., disability affects approximately 61.4 million (25.7%) adults, with mobility disability being the most prevalent type, affecting about 1 in 7 U.S. adults. However, little is known about the prevalence of disability and functional disability types by urbanization level. Methods: Data from the 2016 Behavioral Risk Factor Surveillance System were analyzed. The prevalences of disability, overall and by functional disability type, were estimated among U.S. adults across 6 levels of urban–rural county categories based on the 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties. Adjusted prevalence ratios with 95% CIs were estimated by conducting log-linear regression analyses with robust variance estimator while adjusting for study covariates. Data analyses were conducted in 2018. Results: The prevalences of having any disability, functional disability type, or multiple disabilities were lowest in large metropolitan centers and fringe metropolitan counties and highest in noncore (rural) counties. After controlling for age, sex, race/ethnicity, education, and federal poverty level, adults living in noncore counties were 9% more likely to report having any disability, 24% more likely to report having 3 or more disabilities, and 7% (cognition) to 35% (hearing) more likely to report specific disability types than the adults living in large metropolitan centers. Conclusions: Results of this study suggest that significant disparities in the prevalence of disability exist by level of urbanization, with rural U.S. residents having the highest prevalence of disability. Public health interventions to reduce health disparities could include people with disabilities, particularly in rural counties.

Proxy responses are often allowed in household tobacco surveys when all household members are included in a sample. To assess the effect of proxy responses on prevalence estimates, we compared 2 surveys in 2011 that gauged tobacco use in Thailand: the Cigarette Smoking and Alcohol Drinking Survey (SADS) and the Global Adult Tobacco Survey (GATS). Both surveys had similar nonsampling errors and design, but SADS allowed proxy responses and GATS did not. When proxy responses were included in SADS, the prevalence estimate was 10% lower in GATS for men (41.69% in GATS vs 46.55% in SADS) and 18% lower in GATS for women (2.14% in GATS vs 2.61% in SADS). Eliminating proxy responses is recommended to increase accuracy of tobacco-use surveillance.

We examined associations of health insurance status with self-perceived poor/fair health and frequent mental distress (FMD) among working-aged US adults from 42 states and the District of Columbia using data from the 2014 Behavioral Risk Factor Surveillance System. After multiple-variable adjustment, compared with adequately insured adults, underinsured and never insured adults were 39% and 59% more likely to report poor/fair health, respectively, and 38% more likely to report FMD. Compared with working-aged adults with employer-based insurance, adults with Medicaid/Medicare or other public insurance coverage were 28% and 13% more likely to report poor/fair health, respectively, and 15% more likely to report FMD. Increasing insurance coverage and reducing cost barriers to care may improve general and mental health.

BACKGROUND: There is little information on cigarette-purchasing behaviour among smokers globally. Understanding cigarette purchase and point-of-sale patterns can help guide the development and implementation of tobacco-control strategies in retail environments. OBJECTIVE: The purpose of this study was to identify where adults in 19 countries last purchased cigarettes. METHODS: Data were from 19 low-income and middle-income countries that conducted the Global Adult Tobacco Survey (GATS) during 2008-2012. GATS is a nationally representative household survey of adults aged 15 years or older using a standardised protocol to measure tobacco-related behaviours. Data were weighted to yield nationally representative estimates within each country and summarised by using descriptive statistics. RESULTS: Overall prevalence of current cigarette smoking ranged from 3.7% in Nigeria to 38.5% in the Russian Federation. Among current cigarette smokers, locations of last purchase were as follows: stores, from 14.6% in Argentina to 98.7% in Bangladesh (median=66.8%); street vendors, from 0% in Thailand to 35.7% in Vietnam (median=3.0%); kiosks, from 0.1% in Thailand to 77.3% in Argentina (median=16.1%); other locations, from 0.3% in China and Egypt to 57.5% in Brazil (median=2.6%). CONCLUSION: Cigarettes are purchased at various retail locations globally. However, stores and kiosks were the main cigarette purchase locations in 18 of the 19 countries assessed. Knowledge of where cigarette purchases occur could help guide interventions to reduce cigarette accessibility and use.

OBJECTIVES: In 2012, theCenters for Disease Control and Prevention initiated a national anti-smoking campaign, Tips from Former Smokers (Tips). As a result of the campaign, quit attempts among smokers increased in the general population by 3.7 percentage points. In the current study, we assessed the effects of Tips on smoking cessation in pregnant women. METHODS: We used 2009-2013 certificates of live births in three US states: Indiana, Kentucky and Ohio. Smoking cessation by the third trimester of pregnancy was examined among women who smoked in the 3 months prepregnancy. Campaign exposure was defined as overlap between the airing of Tips 2012 (March 19-June 10) and the prepregnancy and pregnancy periods. Women who delivered before Tips 2012 were not exposed. Adjusted logistic regression was used to determine whether exposure to Tips was independently associated with smoking cessation. RESULTS: Cessation rates were stable during 2009-2011 but increased at the time Tips 2012 aired and remained elevated. Overall, 32.9% of unexposed and 34.7% of exposed smokers quit by the third trimester (p<0.001). Exposure to Tips 2012 was associated with increased cessation (adjusted OR: 1.07, 95% CI 1.05 to 1.10). CONCLUSIONS: Exposure to a national anti-smoking campaign for a general audience was associated with smoking cessation in pregnant women.

BACKGROUND: The World Health Organization (WHO) MPOWER is a technical package of six tobacco control measures that assist countries in meeting their obligations of the WHO Framework Convention Tobacco Control and are proven to reduce tobacco use. The Global Adult Tobacco Survey (GATS) systematically monitors adult tobacco use and tracks key tobacco control indicators. METHODS: GATS is a nationally representative household survey of adults aged 15 and older, using a standard and consistent protocol across countries; it includes information on the six WHO MPOWER measures. GATS Phase I was conducted from 2008-2010 in 14 high-burden low- and middle-income countries. We selected one key indicator from each of the six MPOWER measures and compared results across 14 countries. RESULTS: Current tobacco use prevalence rates ranged from 16.1% in Mexico to 43.3% in Bangladesh. We found that the highest rate of exposure to secondhand smoke in the workplace was in China (63.3%). We found the highest 'smoking quit attempt' rates in the past 12 months among cigarette smokers in Viet Nam (55.3%) and the lowest rate was in the Russian Federation (32.1%). In five of the 14 countries, more than one-half of current smokers in those 5 countries said they thought of quitting because of health warning labels on cigarette packages. The Philippines (74.3%) and the Russian Federation (68.0%) had the highest percentages of respondents noticing any cigarette advertising, promotion and sponsorship. Manufactured cigarette affordability ranged from 0.6% in Russia to 8.0% in India. CONCLUSIONS: Monitoring tobacco use and tobacco control policy achievements is crucial to managing and implementing measures to reverse the epidemic. GATS provides internationally-comparable data that systematically monitors and tracks the progress of the other five MPOWER measures.

In 2008, the Centers for Disease Control and Prevention (CDC) and the World Health Organization developed the Global Adult Tobacco Survey (GATS), an instrument to monitor global tobacco use and measure indicators of tobacco control. GATS, a nationally representative household survey of persons aged 15 years or older, was conducted for the first time during 2008-2010 in 14 low- and middle-income countries. In each country, GATS used a standard core questionnaire, sample design, and procedures for data collection and management and, as needed, added country-specific questions that were reviewed and approved by international experts. The core questionnaire included questions about various characteristics of the respondents, their tobacco use (smoking and smokeless), and a wide range of tobacco-related topics (cessation; secondhand smoke; economics; media; and knowledge, attitudes, and perceptions). In each country, a multistage cluster sample design was used, with households selected proportionate to the size of the population. Households were chosen randomly within a primary or secondary sampling unit, and one respondent was selected at random from each household to participate in the survey. Interviewers administered the survey in the country's local language(s) using handheld electronic data collection devices. Interviews were conducted privately, and same-sex interviewers were used in countries where mixed-sex interviews would be culturally inappropriate. All 14 countries completed the survey during 2008-2010. In each country, the ministry of health was the lead coordinating agency for GATS, and the survey was implemented by national statistical organizations or surveillance institutes. This article describes the background and rationale for GATS and includes a comprehensive description of the survey methods and protocol.

INTRODUCTION: Cigarette smoking prevalence is more than two times greater among incarcerated adults, a population usually excluded from national health surveys. African American young adult (18-25) men are less likely to smoke cigarettes than their white counterparts. However, they are two and a-half-times more likely to be incarcerated. This study estimated smoking prevalence with noninstitutionalized and incarcerated samples combined to determine if excluding incarcerated adults impacts smoking prevalence for certain populations. METHODS: The Bureau of Justice Statistics last fielded the Survey of Inmates in State and Federal Correction Facilities in 2003-2004. We combined data from Survey of Inmates in State and Federal Correction Facilities (n = 17 910) and the 2003 and 2004 National Health Interview Survey (n = 61 470) to calculate combined cigarette smoking estimates by race/ethnicity, sex, and age. RESULTS: Inmates represented the greatest proportion of smokers among African American men. Among African American young adult men, inmates represented 15.2% of all smokers in the combined population, compared to 2.0% among white young adult men. Cigarette smoking prevalence was 17.6% in the noninstitutionalized population of young adult African American men and 19.7% in the combined population. Among white young adult men, cigarette smoking prevalence was 29.8% in the noninstitutionalized population, and 30.2% in the combined population. There was little difference in estimates among women. CONCLUSIONS: The exclusion of incarcerated African American young adult men may result in a small underestimation of cigarette smoking prevalence in this population. Increasing access to smoking cessation support among inmates may reduce smoking prevalence in disproportionately incarcerated segments of the US population. IMPLICATIONS: The exclusion of incarcerated adults from national survey data should be considered when examining differences in cigarette smoking prevalence estimates between African American and white young adult men. Approximately one in six African American young adult men who smoke were incarcerated. Increasing access to smoking cessation support among inmates may reduce smoking prevalence among disproportionately incarcerated segments of the population.

OBJECTIVE: We examined the change over time in tobacco advertising, promotion and sponsorship (TAPS) exposure and the concurrent changes in cigarette smoking behavior among students age 13 to 15years in two African countries with different anti-TAPS policies. In South Africa, anti-TAPS policies became more comprehensive over time and were more strictly enforced, whereas the partial anti-TAPS policies adopted in Botswana were weakly enforced. METHOD: We analyzed two rounds of Global Youth Tobacco Survey data from South Africa (1999, n=2342; 2011, n=3713) and in Botswana (2001, n=1073; 2008, n=1605). We assessed several indicators of TAPS exposure along with prevalence of current cigarette smoking and smoking susceptibility for each data round. Logistic regression was used to examine changes over time in TAPS exposure and smoking behavior in both countries. RESULTS: Between 1999 and 2011, South African students' exposure to tobacco advertising and sponsorship decreased significantly by 16% (p value, <0.0001) and 14% (p value, <0.0001), respectively. Exposure to tobacco promotion was lower and did not decrease significantly. Botswanan students' TAPS exposure did not change significantly between 2001 and 2008. South African students' prevalence of cigarette smoking decreased over time (OR, 0.68) as did susceptibility to smoking (OR, 0.75), but declines did not remain significant after adjusting for parents' and friends' smoking. In Botswana, students' prevalence of cigarette smoking increased significantly over time (OR, 1.84), as did susceptibility to smoking (OR, 2.71). CONCLUSION: Enforcement of strong anti-TAPS policies is a vital component of effective tobacco control programs in Africa. Such regulations, if effectively implemented, can reduce TAPS exposure among adolescents and may influence cigarette smoking behavior.

INTRODUCTION: African American youth use marijuana at similar rates and tobacco at lower rates compared with white youth; however, in adulthood, tobacco use is similar. Tobacco and marijuana use are closely associated; differing initiation patterns may contribute to observed racial differences in tobacco prevalence by age. Therefore, it is important to assess tobacco and marijuana initiation patterns by race. METHODS: Data were obtained from 56 555 adults aged 18-25 who completed the 2005-2012 National Survey on Drug Use and Health. The analysis was restricted to those who reported ever use of marijuana and combustible tobacco (cigarettes and/or cigars). Three mutually exclusive categories of initiation patterns were evaluated: use of marijuana before tobacco; marijuana and tobacco at the same age; and tobacco before marijuana. Multivariable regression models were used to assess changes over time and compare these outcomes by race while controlling for sociodemographics, risk perceptions, and current substance use. RESULTS: In 2005, 26.6% of African American and 14.3% of white young adults used marijuana before tobacco, compared with 41.5% of African American and 24.0% of white young adults in 2012 (P < .001). Overall, African American young adults had greater odds of using marijuana before tobacco (AOR = 1.79; 95% CI: 1.67, 1.91) compared with whites. CONCLUSION: African American young adults were more likely than whites to use marijuana before tobacco and both groups were increasingly likely to use marijuana before tobacco over time. A greater understanding of how marijuana initiation interacts with tobacco initiation could inform more effective tobacco and marijuana use prevention efforts. IMPLICATIONS: Among ever users of combustible tobacco and marijuana, greater proportions of African American young adults used marijuana before tobacco or at the same age than their white counterparts. Moreover, both African Americans and whites were more likely to use marijuana before tobacco in 2012 compared with 2005. Tobacco control policy may benefit from a broader understanding of the patterns of initiation to tobacco and marijuana use. Some public health interventions aimed at preventing and reducing combustible tobacco use among African American young adults may be strengthened by considering marijuana use.

INTRODUCTION: Smoking prevalence is high among men in China. One result is that a large number of nonsmoking Chinese women may be exposed daily to secondhand smoke (SHS). Exposure is particularly problematic for pregnant women because of potential adverse reproductive effects. To determine the extent of this exposure and to summarize existing intervention studies designed to reduce SHS exposure in China, a systematic review of the literature published from 1995 through 2012 was conducted. METHODS: We searched the PubMed and Wanfang databases for studies published from 1995 through 2012 using various search terms including SHS, pregnant women, and China. Only articles on prevalence of SHS exposure and interventions to reduce exposure to SHS were selected. RESULTS: We identified 132 studies during the initial searches. Eight of 13 eligible studies reported the prevalence of SHS exposure among pregnant women; estimates ranged from 38.9% to 75.1%. Few SHS prevention interventions among pregnant women in China have been studied; we found only 5 such studies. The interventions primarily focused on changing husbands' smoking behaviors; some interventions focused on women's avoidance behaviors. CONCLUSION: Prevalence of exposure to SHS among pregnant women is high in China. Information is limited on effective interventions to protect pregnant women from exposure. The results of this review can provide the basis for the design and evaluation of interventions to help pregnant women avoid SHS exposure.

BACKGROUND: Despite the high global burden of diseases caused by tobacco, valid and comparable prevalence data for patterns of adult tobacco use and factors influencing use are absent for many low-income and middle-income countries. We assess these patterns through analysis of data from the Global Adult Tobacco Survey (GATS). METHODS: Between Oct 1, 2008, and March 15, 2010, GATS used nationally representative household surveys with comparable methods to obtain relevant information from individuals aged 15 years or older in 14 low-income and middle-income countries (Bangladesh, Brazil, China, Egypt, India, Mexico, Philippines, Poland, Russia, Thailand, Turkey, Ukraine, Uruguay, and Vietnam). We compared weighted point estimates and 95% CIs of tobacco use between these 14 countries and with data from the 2008 UK General Lifestyle Survey and the 2006-07 US Tobacco Use Supplement to the Current Population Survey. All these surveys had cross-sectional study designs. FINDINGS: In countries participating in GATS, 48.6% (95% CI 47.6-49.6) of men and 11.3% (10.7-12.0) of women were tobacco users. 40.7% of men (ranging from 21.6% in Brazil to 60.2% in Russia) and 5.0% of women (0.5% in Egypt to 24.4% in Poland) in GATS countries smoked a tobacco product. Manufactured cigarettes were favoured by most smokers (82%) overall, but smokeless tobacco and bidis were commonly used in India and Bangladesh. For individuals who had ever smoked daily, women aged 55-64 years at the time of the survey began smoking at an older age than did equivalently aged men in most GATS countries. However, those individuals who had ever smoked daily and were aged 25-34-years when surveyed started to do so at much the same age in both sexes. Quit ratios were very low (<20% overall) in China, India, Russia, Egypt, and Bangladesh. INTERPRETATION: The first wave of GATS showed high rates of smoking in men, early initiation of smoking in women, and low quit ratios, reinforcing the view that efforts to prevent initiation and promote cessation of tobacco use are needed to reduce associated morbidity and mortality. FUNDING: Bloomberg Philanthropies' Initiative to Reduce Tobacco Use, Bill and Melinda Gates Foundation, Brazilian and Indian Governments.

We examined methodological issues in studies of disaster-related effects on reproductive health outcomes and fertility among women of reproductive age and infants in the United States (US). We conducted a systematic literature review of 1,635 articles and reports published in peer-reviewed journals or by the government from January 1981 through December 2010. We classified the studies using three exposure types: (1) physical exposure to toxicants; (2) psychological trauma; and (3) general exposure to disaster. Fifteen articles met our inclusion criteria concerning research focus and design. Overall studies pertained to eight different disasters, with most (n = 6) focused on the World Trade Center attack. Only one study examined pregnancy loss, i.e., occurrence of spontaneous abortions post-disaster. Most studies focused on associations between disaster and adverse birth outcomes, but two studies pertained only to post-disaster fertility while another two examined it in addition to adverse birth outcomes. In most studies disaster-affected populations were assumed to have experienced psychological trauma, but exposure to trauma was measured in only four studies. Furthermore, effects of both physical exposure to toxicants and psychological trauma on disaster-affected populations were examined in only one study. Effects on birth outcomes were not consistently demonstrated, and study methodologies varied widely. Even so, these studies suggest an association between disasters and reproductive health and highlight the need for further studies to clarify associations. We postulate that post-disaster surveillance among pregnant women could improve our understanding of effects of disaster on the reproductive health of US pregnant women.

INTRODUCTION AND BACKGROUND: Women of reproductive age, in particular women who are pregnant or fewer than 6 months postpartum, are uniquely vulnerable to the effects of natural disasters, which may create stressors for caregivers, limit access to prenatal/postpartum care, or interrupt contraception. Traditional approaches (e.g., newborn records, community surveys) to survey women of reproductive age about unmet needs may not be practical after disasters. Finding pregnant or postpartum women is especially challenging because fewer than 5% of women of reproductive age are pregnant or postpartum at any time. METHODS: From 2009 to 2011, we conducted three pilots of a sampling strategy that aimed to increase the proportion of pregnant and postpartum women of reproductive age who were included in postdisaster reproductive health assessments in Johnston County, North Carolina, after tornadoes, Cobb/Douglas Counties, Georgia, after flooding, and Bertie County, North Carolina, after hurricane-related flooding. RESULTS: Using this method, the percentage of pregnant and postpartum women interviewed in each pilot increased from 0.06% to 21%, 8% to 19%, and 9% to 17%, respectively. CONCLUSION AND DISCUSSION: Two-stage cluster sampling with referral can be used to increase the proportion of pregnant and postpartum women included in a postdisaster assessment. This strategy may be a promising way to assess unmet needs of pregnant and postpartum women in disaster-affected communities.

BACKGROUND: Studies point to variation in the effects of formal sex education on sexual behavior and contraceptive use by individual and community characteristics. STUDY DESIGN: Using the 2002 National Survey of Family Growth, we explored associations between receipt of sex education and intercourse by age 15, intercourse by the time of the interview and use of effective contraception at first sex among 15-19-year-olds, stratified by quartiles of three community characteristics and adjusted for demographics. RESULTS: Across all quartiles of community characteristics, sex education reduced the odds of having sex by age 15. Sex education resulted in reduced odds of having sex by the date of the interview and increased odds of using contraception in the middle quartiles of community characteristics. CONCLUSION: Variation in the effects of sex education should be explored. Research might focus on programmatic differences by community type and programmatic needs in various types of communities.

The Global Adult Tobacco Survey (GATS) is a cross-sectional survey of tobacco use among adults that is carried out by individual countries in collaboration with the U.S. Centers for Disease Control and Prevention and the World Health Organization. From December 2009 through March 2010, the Chinese Center for Disease Control and Prevention conducted the GATS China; all noninstitutionalized persons 15 years of age or older (“adults”) who resided in China at the time of the survey were considered eligible to participate. A stratified, multistage cluster-sampling design was used to select 15,000 adults in 100 counties or districts in China to take the survey. In all, 13,354 participants completed the survey. | Estimated Prevalence of Current Smoking among Adults 15 Years of Age or Older, According to Sex and Selected Demographic Characteristics — GATS China, 2010. | In 2010, an estimated 28.1% of adults in China (52.9% of men and 2.4% of women) were current smokers — a prevalence ratio of 22 to 1 (Table 1). Among men, the prevalence was highest among those 45 to 64 years of age (63.0%) and lowest among those 15 to 24 years of age (33.6%). The prevalence of smoking among men was significantly higher among rural residents (56.1%), as compared with inhabitants of urban areas (49.2%). In terms of education level, the prevalence in men was highest among those who attended secondary school (63.2%) and lowest among those who were college graduates or postgraduates (44.0%). Of the occupations included, male machine operators had the highest prevalence of smoking (67.0%).

To document changes in birth rates, birth outcomes, and pregnancy risk factors among women giving birth after the 1997 Red River flood in North Dakota. We analyzed detailed county-level birth files pre-disaster (1994-1996) and post-disaster (1997-2000) in North Dakota. Crude birth rates and adjusted fertility rates were calculated. The demographic and pregnancy risk factors were described among women delivering singleton births. Logistic regression was conducted to examine associations between the disaster and low birth weight (<2,500 g), preterm birth (<37 weeks), and small for gestational age infants adjusting for confounders. The crude birth rate and direct-adjusted fertility rate decreased significantly after the disaster in North Dakota. The proportion of women giving birth who were older, non-white, unmarried, and had a higher education increased. Compared to pre-disaster, there were significant increases in the following maternal measures after the disaster: any medical risks (5.1-7.1%), anemia (0.7-1.1%), acute or chronic lung disease (0.4-0.5%), eclampsia (0.3-2.1%), and uterine bleeding (0.3-0.4%). In addition, there was a significant increase in births that were low birth weight (OR 1.11, 95% CI 1.03-1.21) and preterm (OR 1.09, 95% CI 1.03-1.16) after adjusting for maternal characteristics and smoking. Following the flood, there was an increase in medical risks, low birth weight, and preterm delivery among women giving birth in North Dakota. Further research that examines birth outcomes of women following a catastrophic disaster is warranted.

We examined trends in low birth weight (LBW, <2,500 g) rates among US singleton non-Hispanic black infants between 1991 and 2004. We conducted Joinpoint regression analyses, using birth certificate data, to describe trends in LBW, moderately LBW (MLBW, 1,500-2,499 g), and very LBW (VLBW, <1,500 g) rates. We then conducted cross-sectional and binomial regression analyses to relate these trends to changes in maternal or obstetric factors. Non-Hispanic black LBW rates declined -7.35% between 1991 and 2001 and then increased +4.23% through 2004. The LBW trends were not uniform across birth weight subcategories. Among MLBW births, the 1991-2001 decease was -10.20%; the 2001-2004 increase was +5.61%. VLBW did not follow this pattern, increasing +3.84% between 1991 and 1999 and then remaining relatively stable through 2004. In adjusted models, the 1991-2001 MLBW rate decrease was associated with changes in first-trimester prenatal care, cigarette smoking, education levels, maternal foreign-born status, and pregnancy weight gain. The 2001-2004 MLBW rate increase was independent of changes in observed maternal demographic characteristics, prenatal care, and obstetric variables. Between 1991 and 2001, progress occurred in reducing MLBW rates among non-Hispanic black infants. This progress was not maintained between 2001 and 2004 nor did it occur for VLBW infants between 1991 and 2004. Observed population changes in maternal socio-demographic and health-related factors were associated with the 1991-2001 decrease, suggesting multiple risk factors need to be simultaneously addressed to reduce non-Hispanic black LBW rates.