Food security among SNAP participants 2019 to 2021: a cross-sectional analysis of current population survey food security supplement data.

Surveillance data indicate that food security rates increased among Supplemental Nutrition Assistance Program (SNAP) participants during the COVID-19 pandemic (2020 and 2021) compared with pre-pandemic (2019), but this could have been due to increased participation from better resourced households. Our objective was to examine if demographic differences between SNAP-participating households in each year were responsible for the increased prevalence of food secure households. We calculated the observed 30-d food security prevalence among SNAP-participating households for each year. We used indirect standardisation to produce expected 2020 and 2021 prevalences with 2019 as the standard population using household size, income, age, sex, race, Hispanic ethnicity, presence of children, single parent household, metropolitan status and census region. We calculated standardised prevalence ratios (SPRs) to understand if the observed prevalence was higher than expected given any changes in the demographic profile compared to 2019. The Current Population Survey data were collected by the United States Census Bureau and Department of Agriculture. Our sample included 5,245 SNAP-participating households. The observed prevalence of food secure households increased by 3⋅6 percentage points comparing 2019 to 2020 (SPR = 1⋅06, 95 % confidence interval = 1⋅00, 1⋅11) and by 8⋅6 percentage comparing 2019 to 2021 (SPR = 1⋅13, 95 % confidence interval = 1⋅07, 1⋅18). The greater prevalence of food secure SNAP households during the pandemic did not appear to be attributable to socio-demographic differences compared to pre-pandemic. Despite hesitance among policymakers to expand or enhance social safety net programmes, permanently incorporating COVID-19-related policy interventions could lessen food insecurity in years to come.

Race-Specific, State-Specific COVID-19 Vaccination Rates Adjusted for Age.

The authors provide the first age-standardized race/ethnicity-specific, state-specific vaccination rates for the United States. Data encompass all states reporting race/ethnicity-specific vaccinations and reflect vaccinations through mid-October 2021, just before eligibility expanded below age 12. Using indirect age standardization, the authors compare racial/ethnic state vaccination rates with national rates. The results show that white and Black state median vaccination rates are, respectively, 89 percent and 76 percent of what would be predicted on the basis of age; Hispanic and Native rates are almost identical to what would be predicted; and Asian American/Pacific Islander rates are 110 percent of what would be predicted. The authors also find that racial/ethnic vaccination rates are associated with state politics, as proxied by 2020 Trump vote share: for each percentage point increase in Trump vote share, vaccination rates decline by 1.08 percent of what would be predicted on the basis of age. This decline is sharpest for Native American vaccinations, although these are reported for relatively few states.

"Pandemic of the unvaccinated"? At midlife, white people are less vaccinated but still at less risk of Covid-19 mortality in Minnesota.

Introduction: Recent research underscores the exceptionally young age distribution of Covid-19 deaths in the United States compared with international peers. This brief characterizes how high levels of Covid mortality at midlife ages (45-64) are deeply intertwined with continuing racial inequity in Covid-19 mortality. Methods: Mortality data from Minnesota in 2020-2022 were analyzed in June 2022. Death certificate data and published vaccination rates in Minnesota allow vaccination and mortality rates to be observed with greater age and temporal precision than national data. Results: Black, Hispanic, and Asian adults under age 65 were all more highly vaccinated than white populations of the same ages during most of Minnesota's substantial and sustained Delta surge and all of the subsequent Omicron surge. However, white mortality rates were lower than those of all other groups. These disparities were extreme; at midlife ages (ages 45-64), during the Omicron period, more highly-vaccinated populations had COVID-19 mortality that was 164% (Asian-American), 115% (Hispanic), or 208% (Black) of white Covid-19 mortality at these ages. In Black, Indigenous, and People of Color (BIPOC) populations as a whole, Covid-19 mortality at ages 55-64 was greater than white mortality at 10 years older. Conclusions: This discrepancy between vaccination and mortality patterning by race/ethnicity suggests that, if the current period is a "pandemic of the unvaccinated," it also remains a "pandemic of the disadvantaged" in ways that can decouple from vaccination rates. This result implies an urgent need to center health equity in the development of Covid-19 policy measures.

Racial/Ethnic Differences in Associations of Non-cigarette Tobacco Product Use With Subsequent Initiation of Cigarettes in US Youths.

INTRODUCTION: Understanding which non-cigarette tobacco products precede smoking in youth across different racial/ethnic groups can inform policies that consider tobacco-related health disparities. METHODS: We used nationally representative, longitudinal data from the Population Assessment of Tobacco and Health Study waves 1-4. The sample was a dynamic cohort of cigarette-naïve youth aged 12-17 years. Mixed-effects models were used to assess non-cigarette product (e-cigarette, cigar product, or other product) use with cigarette use over 1-year intervals. RESULTS: Of the 28 788 observations pooled across waves 1-4, respondents were 48.7% non-Hispanic white, 13.9% non-Hispanic black, and 23.1% Hispanic. Odds of cigarette initiation over 1-year follow-up were higher among youth with prior use of e-cigarettes (odds ratio [OR], 2.76; 95% confidence interval [CI], 2.21-3.45), cigars (OR, 2.00; 95% CI, 1.42-2.80), or other products (OR, 1.66; 95% CI, 1.28-2.14) compared to never users. At the population level, 20.6% of cigarette initiation was attributable to e-cigarette use among white youth and 21.6% among Hispanic youth, while only 3.5% of cigarette initiation was attributable to e-cigarette use among black youth. In contrast, 9.1% of cigarette initiation for black youth was attributable to cigar use compared to only 3.9% for both white and Hispanic youth. CONCLUSIONS: Prior use of e-cigarettes, cigars, and other non-cigarette products were all associated with subsequent cigarette initiation. However, white and Hispanic youth were more likely to initiate cigarettes through e-cigarette use (vs. cigar or other product use), while black youth were more likely to initiate cigarettes through cigar use (vs. e-cigarette or other product use). IMPLICATIONS: Our findings suggest that previous studies on effects of non-cigarette tobacco products may overlook the critical role of cigar products as a pathway into cigarette smoking among US youth, particularly black youth. While our data support the importance of e-cigarette use as a pathway into smoking, regulatory actions aimed at addressing youth e-cigarette use alone may contribute to disparities in black versus white tobacco use and further exacerbate inequities in tobacco-related disease. Thus, contemporary policy development and discourse about the effects of non-cigarette tobacco products on cigarette initiation should consider cigar and other non-cigarette products as well as e-cigarettes.

Women's costs for accessing comprehensive sexual and reproductive health services: findings from an observational study in Johannesburg, South Africa.

BACKGROUND: Evaluating progress towards the Sustainable Development Goal of universal access to sexual and reproductive (SRH) services requires an understanding of the health needs of individuals and what constitutes access to services. We explored women's costs of accessing SRH services in Johannesburg, South Africa and contextualized costs based on estimates of household income. METHODS: We conducted an observational study of women aged 18-49 at a public HIV treatment site and two public primary health care facilities from June 2015 to August 2016. Interviews assessed women's SRH needs (for contraception, fertility problems, menstrual problems, menopause symptoms, sexually transmitted infections (STI), experiences of intimate-partner violence (IPV), and cervical and breast cancer screening) and associated costs. We calculated average and total costs (including out-of-pocket spending, lost income, and estimated value of time spent) for women who incurred costs. We also estimated the total and average costs of meeting all SRH needs in a hypothetical "full needs met" year. Finally, we contextualize SRH spending against a measure of catastrophic expenditure (> 10% of household income). RESULTS: Among the 385 women who participated, 94.8% had at least one SRH need in the prior 12 months; 79.7% incurred costs for accessing care. On average, women spent $28.34 on SRH needs during the prior year. Excluding one HIV-negative woman who spent 112% of her annual income on infertility treatment, HIV-positive women spent more on average annually for SRH care than HIV-negative women. Sixty percent of women reported at least one unmet SRH need. If all participants sought care for all reported needs, their average annual cost would rise to $52.65 per woman. Only two women reported catastrophic expenditure - for managing infertility. CONCLUSIONS: SRH needs are constants throughout women's lives. Small annual costs can become large costs when considered cumulatively over time. As South Africa and other countries grapple with increasing access to SRH services under the rubric of universal access, it is important to remember that individuals incur costs despite free care at the point of service. Policies that address geographic proximity and service quality would be important for reducing costs and ensuring full access to SRH services. Literature on women's financial and economic costs for accessing comprehensive sexual and reproductive health care in low- and middle-income countries is extremely limited, and existing literature often overlooks out-of-pocket costs associated with travel, child care, and time spent accessing services. Using data from a survey of 385 women from a public HIV treatment site and two public primary health care facilities in Johannesburg, we found nearly all women reported at least on sexual and reproductive health need and more than 75% of women incurred costs related to those needs. Furthermore, more than half of women surveyed reported not accessing services for their sexual and reproductive health needs, suggesting a total annual cost of more than $50 USD, on average, to access services for all reported needs. While few women spent more than 10% of their total household income on sexual and reproductive health services in the prior year, needs are constant and costs incur throughout a woman's life suggesting accessing services to meet these needs might still result in financial burden. As South Africa grapples with increasing access to sexual and reproductive health services under the rubric of universal access, it is important to remember that individuals incur costs despite free care at the point of service. Policies that address geographic proximity and service quality would be important for reducing costs and ensuring full access to services.

E-cigarette initiation and associated changes in smoking cessation and reduction: the Population Assessment of Tobacco and Health Study, 2013-2015.

BACKGROUND: The role of electronic cigarettes (e-cigarettes) in product transitions has been debated. METHODS: We used nationally representative data from the Population Assessment of Tobacco and Health Study waves 1 (2013-2014) and 2 (2014-2015) to investigate the associations between e-cigarette initiation and cigarette cessation/reduction in the USA. We limited the sample to current cigarette smokers aged 25+ years who were not current e-cigarette users at wave 1. We modelled 30-day cigarette cessation and substantial reduction in cigarette consumption as a function of e-cigarette initiation between surveys using multivariable logistic regression. RESULTS: Between waves 1 and 2, 6.9% of cigarette smokers who were not current e-cigarette users transitioned to former smokers. After adjusting for covariates, cigarette smokers who initiated e-cigarette use between waves and reported they used e-cigarettes daily at wave 2 had 7.88 (95% CI 4.45 to 13.95) times the odds of 30-day cigarette cessation compared with non-users of e-cigarettes at wave 2. Cigarette smokers who began using e-cigarettes every day and did not achieve cessation had 5.70 (95% CI 3.47 to 9.35) times the odds of reducing their average daily cigarette use by at least 50% between waves 1 and 2 compared with e-cigarette non-users. CONCLUSIONS: Daily e-cigarette initiators were more likely to have quit smoking cigarettes or reduced use compared with non-users. However, less frequent e-cigarette use was not associated with cigarette cessation/reduction. These results suggest incorporating frequency of e-cigarette use is important for developing a more thorough understanding of the association between e-cigarette use and cigarette cessation.

Prevalence and unmet need for diabetes care across the care continuum in a national sample of South African adults: Evidence from the SANHANES-1, 2011-2012.

South Africa faces an epidemic of chronic non-communicable diseases (NCDs), yet national surveillance is limited due to the lack of recent data. We used data from the first comprehensive national survey on NCDs-the South African National Health and Nutrition Examination Survey (SANHANES-1 (2011-2012))-to evaluate the prevalence of and health system response to diabetes through a diabetes care cascade. We defined diabetes as a Hemoglobin A1c equal to or above 6.5% or currently on treatment for diabetes. We constructed a diabetes care cascade by categorizing the population with diabetes into those who were unscreened, screened but undiagnosed, diagnosed but untreated, treated but uncontrolled, and treated and controlled. We then used multivariable logistic regression models to explore factors associated with diagnosed and undiagnosed diabetes. The age-standardized prevalence of diabetes in South Africans aged 15+ was 10.1%. Prevalence rates were higher among the non-white population and among women. Among individuals with diabetes, a total of 45.4% were unscreened, 14.7% were screened but undiagnosed, 2.3% were diagnosed but untreated, 18.1% were treated but uncontrolled, and 19.4% were treated and controlled, suggesting that 80.6% of the diabetic population had unmet need for care. The diabetes care cascade revealed significant losses from lack of screening, between screening and diagnosis, and between treatment and control. These results point to significant unmet need for diabetes care in South Africa. Additionally, this analysis provides a benchmark for evaluating efforts to manage the rising burden of diabetes in South Africa.

Quantifying unmet need for hypertension care in South Africa through a care cascade: evidence from the SANHANES, 2011-2012.

INTRODUCTION: Hypertension has become a major cause of morbidity and premature mortality in South Africa, but population-wide estimates of prevalence and access to care are scarce. Using data from the South African National Health and Nutrition Examination Survey (2011-2012), this analysis evaluates the national prevalence of hypertension and uses a care cascade to examine unmet need for care. METHODS: Hypertension was defined as blood pressure over 140/90 mm Hg or use of antihypertensive medication. We constructed a hypertension care cascade by decomposing the population with hypertension into five mutually exclusive and exhaustive subcategories: (1) unscreened and undiagnosed, (2) screened but undiagnosed, (3) diagnosed but untreated, (4) treated but uncontrolled and (5) treated and controlled. Multivariable logistic regression models were used to explore factors associated with hypertension prevalence and diagnosis. RESULTS: In South Africans aged 15 and above, the age standardised prevalence of hypertension was 35.1%. Among those with hypertension, 48.7% were unscreened and undiagnosed, 23.1% were screened but undiagnosed, 5.8% were diagnosed but untreated, 13.5% were treated but uncontrolled and 8.9% were controlled. The hypertension care cascade demonstrates that 49% of those with hypertension were lost at the screening stage, 50% of those who were screened never received a diagnosis, 23% of those who were diagnosed did not receive treatment and 48% of those who were treated did not reach the threshold for control. Men and older individuals had increased risks of being undiagnosed after controlling for other factors. CONCLUSIONS: There is significant unmet need for hypertension care in South Africa; 91.1% of the hypertensive population was unscreened, undiagnosed, untreated or uncontrolled. Data from this study provide insight into where patients are lost in the hypertension care continuum and serve as a benchmark for evaluating efforts to manage the rising burden of hypertension in South Africa.