Assessing Changes in Adolescents' Sleep Characteristics and Dietary Quality in the START Study, a Natural Experiment on Delayed School Start Time Policies.

BACKGROUND: Sleep duration, quality, and timing may influence dietary quality. In adults, poor dietary quality is a risk factor for numerous chronic diseases. It is unclear how these various sleep domains influence adolescents' diets because prior population-based studies have not effectively manipulated sleep, did not include objective sleep measures, and had short follow-up times. OBJECTIVES: The objectives of this study were to examine 1) how adolescent sleep characteristics relate to dietary quality; and 2) how delay in high school start times (which lengthened sleep duration) affects dietary quality over 2 y. METHODS: In the START study, adolescents (grades 9-11, n = 423) attending 5 high schools in the Minneapolis, Minnesota metropolitan area were annually assessed in 3 waves (2016-2018). At Baseline, all schools started "early" (07:30 or 07:45). From Follow-up 1 through Follow-up 2, 2 "policy change schools" shifted to later start times (to 08:20 and 08:50). Three "comparison schools" maintained their early start throughout. Sleep characteristics were measured with actigraphy. Mixed-effect regression models were used to examine cross-sectional and longitudinal associations of sleep characteristics with dietary quality, and school start time policy change with dietary quality change. RESULTS: Cross-sectionally, later sleep midpoint and onset were associated with dietary quality scores 1.6-1.7 lower (both P < 0.05). However, no prospective associations were observed between sleep characteristics and dietary quality in longitudinal models. Shifting to later school start time tended to be associated with a 2.4-point increase in dietary quality score (P = 0.09) at Follow-up 1, but was not associated with change in dietary quality scores at Follow-up 2 (P = 0.35). CONCLUSIONS: High school students attending delayed-start schools maintained better dietary quality than students in comparison schools; however, differences were not statistically significant. Overall study findings highlight the complexity of the relation between sleep behavior and diet in adolescence.

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.

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.

Treatment outcomes among children, adolescents, and adults on treatment for tuberculosis in two metropolitan municipalities in Gauteng Province, South Africa.

BACKGROUND: Gauteng Province has the second lowest tuberculosis (TB) incidence rate in South Africa but the greatest proportion of TB/HIV co-infection, with 68% of TB patients estimated to have HIV. TB treatment outcomes are well documented at the national and provincial level; however, knowledge gaps remain on how outcomes differ across detailed age groups. METHODS: Using data from South Africa's National Electronic TB Register (ETR), we assessed all-cause mortality and loss to follow-up (LTFU) among patients initiating treatment for TB between 01/2010 and 12/2015 in the metropolitan municipalities of Ekurhuleni Metropolitan Municipality and the City of Johannesburg in Gauteng Province. We excluded patients who were missing age, had known drug-resistance, or transferred into TB care from sites outside the two metropolitan municipalities. Among patients assigned a treatment outcome, we investigated the association between age group at treatment initiation and mortality or LTFU (treatment interruption of ≥2 months) within 10 months after treatment initiation using Cox proportional hazard models and present hazard ratios and Kaplan-Meier survival curves. RESULTS: We identified 182,890 children (<10 years), young adolescent (10-14), older adolescent (15-19), young adult (20-24), adult (25-49), and older adult (≥50) TB cases without known drug-resistance. ART coverage among HIV co-infected patients was highest for young adolescents (64.3%) and lowest for young adults (54.0%) compared to other age groups (all over 60%). Treatment success exceeded 80% in all age groups (n = 170,017). All-cause mortality increased with age. Compared to adults, young adults had an increased hazard of LTFU (20-24 vs 25-49 years; aHR 1.43 95% CI: 1.33, 1.54) while children, young adolescents, and older adults had lower hazard of LTFU. Patients with HIV on ART had a lower risk of LTFU, but greater risk of death when compared to patients without HIV. CONCLUSIONS: Young adults in urban areas of Gauteng Province experience a disproportionate burden of LTFU and low coverage of ART among co-infected patients. This group should be targeted for interventions aimed at improving clinical outcomes and retention in both TB and HIV care.

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.

Use of the Emergency Food System among Food Insecure, Low-income Households in the United States 2015 to 2020.

The emergency food system (EFS) is a critical part of the United States' social safety net. Using 2015-2020 Current Population Survey Food Security Supplement data, we identified trends in EFS use among food insecure, low-income households by estimating the probability of EFS use adjusting for demographics using multivariable logistic regression. From 2015-2019, between 31.0% and 34.4% of households received emergency food, while 42.4% did in 2020. EFS use did not increase in 2020 compared to prior years for older adults and non-metropolitan households. Targeted outreach should be used to expand the reach of this resource to underserved and marginalized populations."

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.

COVID-19 Vaccination and Racial/Ethnic Inequities in Mortality at Midlife in Minnesota.

INTRODUCTION: Recent research underscores the exceptionally young age distribution of COVID-19 deaths in the U.S. compared with that of international peers. This paper characterizes how high levels of COVID-19 mortality at midlife ages (45-64 years) 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 (COVID-19 deaths N=12,771) 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 aged <65 years were all more highly vaccinated than White populations of the same ages during most of Minnesota's substantial and sustained Delta surge and all the subsequent Omicron surges. However, White mortality rates were lower than those of all other groups. These disparities were extreme; at midlife ages (ages 45-64 years), 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 populations as a whole, COVID-19 mortality at ages 55-64 years 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.

Impact of smoking cessation on household food security.

PURPOSE: Smokers can spend a substantial amount on cigarettes, potentially constraining their ability to purchase food. We tested the association of smoking cessation and household food security. METHODS: Using the Current Population Survey (2001-2019), we longitudinally linked the Tobacco Use Supplement and the Food Security Supplement (n = 71,278). Among adult smokers (n = 13,144), we used modified Poisson regression to model household food insecurity as a function of quit status (continuing smokers vs. recent quitters), adjusting for sex, age, household size, children in the household, and other household smokers. We also used multinomial logistic regression to examine more detailed food security status (high, marginal, low, very low). RESULTS: The adjusted probability of household food insecurity at follow-up was 11% (95% CI: 8.7%-13%) for recent quitters and 20% (95% CI: 19%-21%) for continuing smokers. Continuing smokers had a lower adjusted probability of high food security (69% vs. 80%) and a higher adjusted probability of marginal (11% vs. 9.8%), low (12% vs. 7%), and very low food security (7.8% vs. 3.6%) compared to recent quitters. CONCLUSIONS: Cigarette cessation is associated with a lower risk of household food insecurity. Therefore, promoting tobacco cessation alongside food assistance and poverty reduction policies may help alleviate food insecurity.

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.

Association of Weight at Different Ages and All-Cause Mortality Among Older Adults in the US.

Objective: Assess the association of BMI and BMI change with mortality. Methods: Using data from the Wisconsin Longitudinal Study (WLS) on participants born mainly in 1939 (n=4922), we investigated the associations between various measures of BMI across the life course (age 54 BMI; age 65 BMI; age 72 BMI; lifetime maximum BMI; BMI change between ages 54 and 65; BMI change between ages 65 and 72) and mortality. We also assessed whether these associations are mediated by late life health. Results: BMI at age 54 was more strongly associated with late life mortality than BMI at older ages. The association between BMI change and mortality varied based on the timing of weight change. Health at age 72, particularly self-rated health, diabetes, and physical functioning, mediated the observed associations. Conclusion: Knowing older people's weight at midlife and how their weight has changed may be more important in assessing late life mortality risk than their current weight.

"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.

Association of Delaying School Start Time With Sleep-Wake Behaviors Among Adolescents.

PURPOSE: Few adolescents spend enough time asleep on school nights. This problem could be addressed by delaying high school start times, but does this translate to reduced prevalence of sleep-wake problems like awakening too early or feeling sleepy during the day? METHODS: The START study (n = 2,414) followed a cohort of students from five Minnesota high schools to evaluate impacts of school start time delays. Participants were enrolled in ninth grade (Baseline) when all schools started early (7:30 or 7:45 a.m.). At Follow-Up 1 (10th grade) and Follow-Up 2 (11th grade), two schools had delayed their start times by 50 and 65 minutes while three comparison schools started at 7:30 a.m. Six sleep-wake behaviors were assessed at all three time points via survey. Generalized estimating equation models were used to investigate changes in sleep-wake problems between policy change and comparison schools. RESULTS: The prevalence of sleep-wake problems at Baseline ranged from 11% for being late to class due to oversleeping to 48% for needing to be told to wake multiple times in the morning. Compared to students from comparison schools, students at policy change schools reported smaller increases in the prevalence of feeling sleepy daily and oversleeping and being late to class between 9th and 11th grade. After implementation of the delayed start, awakening too early was more common among students at policy change schools compared to the comparison schools. CONCLUSIONS: This longitudinal study provides evidence that delaying high school start times reduces daytime sleepiness and school tardiness.

Obesity Progression Between Young Adulthood and Midlife and Incident Arthritis: A Retrospective Cohort Study of US Adults.

OBJECTIVE: To examine the association between weight change from young adulthood to midlife and the risk of incident arthritis. METHODS: Using data from the National Health and Nutrition Examination Survey, we categorized participants into weight-change categories based on their recalled weight during young adulthood and midlife. We estimated the association of weight change and developing an arthritis condition over 10 years using adjusted Cox models. Findings were extrapolated to the US population to determine the proportion of incident arthritis cases that could be averted if the entire population maintained a normal body mass index (BMI) in young adulthood and midlife. RESULTS: Among our sample of adults who were ages 40-69 years at their midlife weight measure (n = 13,669), 3,603 developed an arthritis condition. Compared with adults who maintained a normal-normal BMI, the normal-overweight, normal-obese, overweight-obese, and obese-obese groups had a significantly elevated risk of incident arthritis conditions. The obese-overweight group had a lower risk of incident arthritis conditions compared with the obese-obese group and a comparable risk to the overweight-overweight group. Nearly one-fourth of incident arthritis cases, corresponding to 2.7 million individuals, would have been averted under the hypothetical scenario where all individuals maintained normal weight from young adulthood to midlife. CONCLUSION: Weight loss from young adulthood to midlife was associated with a substantially reduced risk of developing an arthritis condition. We found no evidence of residual risk from having been heavier earlier in life. Our findings highlight the critical need to expand obesity treatment and prevention to achieve meaningful reductions in the burden of arthritis.

Weekend night vs. school night sleep patterns, weight status, and weight-related behaviors among adolescents.

OBJECTIVE: In this study, we examine associations between objectively measured weekend night vs. school night sleep patterns, weight status, and weight-related behaviors among adolescents. DESIGN: Cross-sectional study. SETTING: Five Minnesota high schools that started early (7:30 or 7:45 AM) in Spring 2016. PARTICIPANTS: Ninth grade students, ages 14.5-16 years (n = 284). MEASUREMENTS: Students completed surveys, had body measurements taken, and wore sleep (wrist) actigraphs for 1 week (n = 284). We examined weekend night-school night differences in sleep duration and sleep timing. We then assessed whether these factors were related to weight status and weight-related behaviors (eating behaviors, food consumption, physical activity, beverage consumption) using generalized linear mixed models. RESULTS: On average, students slept 1.5 hours (95% confidence interval 1.3-1.7) more and had a sleep midpoint 1.9 hours (1.8-2.1) later on weekend nights compared to school nights. Female students had larger increases in sleep duration on weekend nights than males but similar timing differences. Sleep duration differences were uncorrelated with sleep timing differences (r = 0.01). Neither duration nor timing differences were associated with overweight, obesity, or any of the eating behaviors we examined. However, sleeping longer on weekend nights than on school nights was associated with lower probability of being active 6-7 days per week (p = .02). CONCLUSIONS: Adolescents have substantial sleep duration and sleep timing differences on weekend nights vs. school nights. While these differences may not be associated with weight status or weight-related behaviors, they reflect the reality that most adolescents have schedules that restrict their sleep.

Obesity and Incident Prescription Opioid Use in the U.S., 2000-2015.

INTRODUCTION: Prior studies have identified associations between obesity and numerous conditions that increase risks for chronic pain. However, the impact of obesity on prescription opioid use is not well known. This study investigates the association between obesity and incidence of long-term prescription opioid use. METHODS: Fifteen panels of the Medical Expenditure Panel Survey from 2000 to 2015 were pooled to generate a sample of civilian non-institutionalized adults aged 30-84 years who were prescription opioid-naïve for approximately 9 months. Incident long-term prescription opioid use was defined as reporting use at 2 of 3 interviews during a 15-month follow-up. BMI was reported at baseline. Analyses were completed in 2019. RESULTS: Among opioid-naïve adults (n=89,629), obesity was strongly associated with incident long-term prescription opioid use. The association increased at progressively higher BMI values, with 24% elevated odds (95% CI=7%, 44%) in adults with overweight (25-29.9 kg/m2) and 158% increased odds (95% CI=106%, 224%) among adults with Class III obesity (40-49.9 kg/m2). These associations grew with higher-dosage opioids. Of the reasons for opioid use, joint pain, back pain, injury, and muscle/nerve pain contributed the most to the excess use observed among adults with obesity. At the population level, 27.0% of incident long-term prescription opioid use (95% CI=19.0%, 34.8%) was attributable to adults having a BMI above normal weight (25-49.9 kg/m2). CONCLUSIONS: These findings suggest that obesity has contributed to prescription opioid use in the U.S. Future investments in chronic pain reduction may benefit from increased integration with obesity prevention and treatment.

Trends in Prescription Analgesic Use Among Adults With Musculoskeletal Conditions in the United States, 1999-2016.

Importance: Monitoring trends in prescription analgesic use among adults with musculoskeletal conditions provides insight into how changing prescribing practices, guidelines, and policy measures may affect those who need pain management. Objective: To evaluate trends in prescription opioid use and nonopioid analgesic use among adults with functional limitations attributable to musculoskeletal conditions. Design, Setting, and Participants: This repeated cross-sectional study uses data from the National Health and Nutrition Examination Study from 1999 to 2016. Data were analyzed from January to July 2019. The participants were adults aged 30 to 79 years who reported functional limitations due to back or neck problems and/or arthritis or rheumatism. Main Outcomes and Measures: Any use of a prescription opioid or exclusive use of a prescription nonopioid analgesic. Results: In this population of 7256 adults with 1 or more functional limitations attributable to a musculoskeletal condition (4226 women [59.9%]; 3508 [74.4%] non-Hispanic white individuals; median [interquartile range] age, 63 [53-70] years), opioid use and exclusive nonopioid analgesic use exhibited approximately reciprocal patterns of change from 1999 to 2016. Opioid use increased significantly (difference in prevalence for 2015-2016 vs 1999-2000, 7.2%; 95% CI, 1.3% to 13%; P for trend = .002), and exclusive use of nonopioid analgesics decreased significantly (difference in prevalence for 2015-2016 vs 1999-2000, -13%; 95% CI, -19% to -7.5%; P for trend < .001) during this period. The increase in any opioid use was driven by long-term rather than short-term use. A crossover in the prevalence of opioid use and exclusive use of nonopioid analgesics occurred between 2003 and 2006, after which opioid use was more prevalent. Between 2013 and 2016, decreases in opioid use were observed among men (difference in prevalence for 2015-2016 vs 2013-2014, -11%; 95% CI, -21% to 1.8%) and participants with less than a high school education (difference, -15%; 95% CI, -24% to -6.1%). During this same period, exclusive nonopioid analgesic use also decreased markedly across the population (difference, -5.3%; 95% CI, -9.1% to -1.5%). Conclusions and Relevance: The substitution of opioids for nonopioid analgesics between 2003 and 2006 may have occurred as evidence emerged on the cardiovascular risks associated with nonopioid analgesics. Reductions in opioid use between 2013 and 2016 were most substantial among those with low socioeconomic status, who may encounter barriers in accessing alternatives. Despite those decreases, opioid use remained more prevalent in 2015 to 2016 than in 1999 to 2000, suggesting a potentially long tail for the opioid epidemic.

Association of Electronic Cigarette Use With Subsequent Initiation of Tobacco Cigarettes in US Youths.

Importance: The use of electronic cigarettes (e-cigarettes) and other noncigarette tobacco products may increase the odds of cigarette initiation, even among low-risk youths. Objective: To evaluate the associations of prior e-cigarette use and other tobacco product use with subsequent cigarette initiation within 2 years of follow-up. Design, Setting, and Participants: In this prospective cohort study, data from waves 1 through 3 of the Population Assessment of Tobacco and Health Study (2013-2016) were used to assess youths aged 12 to 15 years who had never used cigarettes, e-cigarettes, or other tobacco products at wave 1. This was a nationally representative study of the US population. Data analysis was conducted in 2018. Exposures: First noncigarette tobacco product used (none, e-cigarette, or other tobacco product) between wave 1 and wave 3. Main Outcomes and Measures: Ever cigarette use and current cigarette use at wave 3. Results: In the sample (N = 6123), respondents were 49.5% female; 54.1% non-Hispanic, white; and the mean (SD) age was 13.4 (1.2) years. Of these, 8.6% reported e-cigarettes as their first tobacco product, while 5.0% reported using another noncigarette product first; 3.3% reported using cigarettes first. Cigarette use at wave 3 was higher among prior e-cigarette users (20.5%) compared with youths with no prior tobacco use (3.8%). Prior e-cigarette use was associated with more than 4 times the odds of ever cigarette use (odds ratio, 4.09; 95% CI, 2.97-5.63) and nearly 3 times the odds of current cigarette use (odds ratio, 2.75; 95% CI, 1.60-4.73) compared with no prior tobacco use. Prior use of other tobacco products was similarly associated with subsequent ever cigarette use (OR, 3.84; 95% CI, 2.63-5.63) and current cigarette use (OR, 3.43; 95% CI, 1.88-6.26) compared with no prior tobacco use. The association of prior e-cigarette use with cigarette initiation was stronger among low-risk youths (OR, 8.57; 95% CI, 3.87-18.97), a pattern not seen for prior other product use. Over the 2 years between 2013 and 2014 and 2015 and 2016, 21.8% of new cigarette ever use (178 850 youths) and 15.3% of current cigarette use (43 446 youths) among US youths aged 12 to 15 years may be attributable to prior e-cigarette use. Conclusions and Relevance: This study's findings support the notion that e-cigarette use is associated with increased risk for cigarette initiation and use, particularly among low-risk youths. At the population level, the use of e-cigarettes may be a contributor to the initiation of cigarette smoking among youths.

Disparities in All-Cause Mortality Beyond the Acute Phase of the COVID-19 Pandemic in the US.

This cross-sectional study examines all-cause mortality in the US between March 2018 and May 2023 by sex, race and ethnicity, metropolitan status, and region.

Growth curve modelling to determine distinct BMI trajectory groups in HIV-positive adults on antiretroviral therapy in South Africa.

OBJECTIVE: Obesity is a major long-term concern in HIV-positive patients due to the pathogenic link between obesity and noncommunicable chronic diseases (NCDs). We aim to characterize changes in BMI over time on antiretroviral therapy (ART) and investigate the association between weight gain and survival in South Africa. DESIGN AND METHODS: A prospective cohort study among HIV-positive adults on first-line ART between April 2004 and 2015 in Johannesburg, South Africa. We used latent-class growth modelling (adjusted for age, sex and CD4 cell count) to identify groups of individuals with similar patterns of change in BMI over time. RESULTS: Eleven thousand, two hundred and sixty-three patients were included. The best fit model involved two linear and two quadratic trajectories. Thirty-five percent of patients were categorized into group one (mean BMI at ART initiation, 20.4 kg/m; mean BMI after 8 years of follow-up, 20.9 kg/m), 38% into group two (24.5-26.2 kg/m), 21% into group three (29.5-32.6 kg/m) and 6% into group four (36.5-40.0 kg/m). Over the 8 years of follow-up, 6% of our cohort went down in BMI standard category, while 45% went up. The largest increase occurred in the first 12 months on ART. In years 2 through 8, we saw a more gradual increase in BMI. CONCLUSION: The largest gain in BMI in HIV patients occurred in the first year on ART. During follow-up, over 50% of our population changed BMI categories putting them at an increased risk for NCDs. Consistent counselling on nutritional and lifestyle changes could help improve ART patients' long-term health outcomes.