BACKGROUND: Long COVID can lead to functional disabilities and decreased well-being and limit the ability to work. No study has yet assessed associations of SARS-CoV-2-infection and Long COVID with specific measures of well-being and functional disabilities among workers by employment status. METHODS: Using data from the U.S. Behavioral Risk Factor Surveillance System, we assessed the prevalence of functional disabilities and well-being measures among adults of prime working age (25-54 years) by employment status and self-reported COVID-19 and Long COVID history. Within each employment status, we generated adjusted prevalence ratios (aPRs) comparing respondents from each 2022 COVID-19/Long COVID category to respondents in that employment status before the pandemic (2019). RESULTS: In 2022, prevalences of each functional disability except vision and all adverse well-being measures were highest among the 9.2% of respondents reporting a history of Long COVID. For each outcome, prevalences were lowest for workers and highest among those unable to work. 2022 prevalence of cognitive disability (16.4% of employees, 21.4% of the self-employed) and depression (31.2% and 36.4%, respectively) among workers reporting a history of Long COVID were more than double 2019 levels. Increases in cognitive disability and depression were lower but statistically significant among workers not reporting a history of Long COVID. CONCLUSIONS: The high prevalence of functional disabilities and adverse well-being among workers reporting a history of Long COVID have implications for workers and employers. Also concerning are smaller increases among workers not reporting a history of Long COVID, given the large number of affected workers. Mitigating the effects of Long COVID on workers will involve efforts in multiple domains: reducing incidence, increasing healthcare practitioner awareness, improving diagnosis and treatments, and increasing employer awareness of best practices for accommodating workers with Long COVID.

BACKGROUND: Workers in healthcare and other essential occupations had elevated risks for COVID-19 infection early in the pandemic. No survey of U.S. workers to date has comprehensively assessed the prevalence of both COVID-19 and Long COVID across industries and occupations (I&O) at a detailed level. METHODS: Behavioral Risk Factor Surveillance System data for 2022 from 39 states, Guam, and the U.S. Virgin Islands were used to estimate prevalence of self-reported history of COVID-19 and Long COVID, as well as the prevalence of Long COVID among those reporting prior COVID-19, by broad and detailed I&O. Adjusted prevalence ratios were used to compare outcome prevalence in each I&O to prevalence among all other workers combined. RESULTS: By broad I&O, workers in healthcare, protective services, and education had elevated prevalences of COVID-19. The prevalence of Long COVID was elevated in healthcare and protective service but not education workers. Detailed I&O with significantly elevated prevalences of COVID-19 but not Long COVID included Dairy Product Manufacturing industry workers and subsets of mining workers. Both COVID-19 and Long COVID were elevated among bartenders/drinking places and personal care and appearance workers. The prevalence of Long COVID was elevated among farmworkers who reported having had COVID-19. CONCLUSIONS: Industries and occupations with elevated levels of COVID-19 or Long COVID in this study may warrant increased measures to prevent transmission of airborne respiratory viruses. Accommodations are a key component for supporting workers in all workplaces. This new information about the distribution of Long COVID by I&O suggests where employer understanding and implementation of tailored workplace supports and accommodations are most needed to support continued employment of affected workers.

PURPOSE: Limited information is known about the burden of Long COVID by occupation and industry. This study compares the occurrence of self-reported new long-term symptoms lasting 4 weeks or longer among blood donors with and without prior SARS-CoV-2 infection by occupation and industry. METHODS: The American Red Cross invited blood donors 18 years and older who donated during May 4-December 31, 2021 to participate in online surveys. New long-term symptoms lasting 4 weeks or longer were assessed by self-reported occurrence of any of 35 symptoms since March 2020. SARS-CoV-2 infection status was determined by serological testing and self-report. We describe the prevalence of new long-term symptoms by SARS-CoV-2 infection status. We calculate the difference in reported new long-term symptoms by SARS-CoV-2 infection status within occupation and industry categories. RESULTS: Data were collected from 27,907 employed adults - 9763 were previously infected and 18,234 were never infected with SARS-CoV-2. New long-term symptoms were more prevalent among those previously infected compared to the never-infected respondents (45% vs 24%, p < 0.05). Among all respondents, new long-term symptoms by occupation ranged from 26% (installation, maintenance, and repair) to 41% (healthcare support) and by industry ranged from 26% (mining) to 55% (accommodation and food services). New long-term neurological and other symptoms were commonly reported by those previously infected with SARS-CoV-2. DISCUSSION: New long-term symptoms are more prevalent among certain occupation and industry groups, which likely reflects differential exposure to SARS-CoV-2. These findings highlight potential need for workplace accommodations in a variety of occupational settings to address new long-term symptoms.

INTRODUCTION: We investigated 2018 gestational diabetes mellitus (GDM) prevalence estimates in three surveillance systems (National Vital Statistics System, State Inpatient Database, and Pregnancy Risk Assessment Monitoring Survey). METHODS: We calculated GDM prevalence for jurisdictions represented in each system; a subset of data was analyzed for people 18-39 years old in 22 jurisdictions present in all three systems to observe dataset-specific demographics and GDM prevalence using comparable categories. RESULTS: GDM prevalence estimates varied widely by data system and within the data subset despite comparable demographics. DISCUSSION: Understanding the differences between GDM surveillance data systems can help researchers better identify people and places at higher risk of GDM.

INTRODUCTION: Long COVID encompasses a wide range of health problems that emerge, persist, or recur following acute COVID-19 illness. Given that the prevalence of self-reported Long COVID is highest among U.S. adults in their prime working years, it is important to identify unmet needs and gaps in healthcare access and coverage among working age adults. METHODS: Prevalences (95% CI) of health insurance coverage and access to care by Long COVID status were estimated among adults 18-64 years (n = 18,117), accounting for survey design and weighted to the U.S. non-institutionalized population in the 2022 National Health Interview Survey. Analyses were conducted in 2023. RESULTS: Overall, 3.7% (95% CI 3.4, 4.0) of respondents were experiencing Long COVID. Adults experiencing Long COVID were less likely to report being uninsured relative to adults not experiencing Long COVID (P=0.004); however, 49.0% (95% CI 43.2, 54.7) had high deductible health plans. Adjusting for sociodemographic characteristics, adults experiencing Long COVID were more likely to access healthcare compared to adults not experiencing Long COVID (P<0.01 for seeing a doctor, telemedicine appointments, ≥2 urgent care visits, ≥2 emergency department visits, and hospitalized overnight). Despite more frequent healthcare use, adults experiencing Long COVID were also more likely to abstain from and delay medical care, therapy, and prescriptions due to cost compared to adults not experiencing Long COVID (P<0.0001 for all comparisons). CONCLUSIONS: These findings may be used to inform healthcare planning for adults experiencing Long COVID and highlight the ongoing need to improve access and affordability of quality and comprehensive care.

Cardiovascular conditions are significant contributors to morbidity and mortality among pregnant and postpartum women.1 | | We used data from the MarketScan Commercial Claims and Encounters database to identify women 12 to 55 years of age who delivered from 2017 to 2019. Delivery hospitalizations and cardiovascular diagnoses and procedures (ie, conditions) were identified using International Classification of Diseases-10th Revision-Clinical Modification codes. Cardiovascular conditions included acute heart failure or pulmonary edema; acute myocardial infarction; arrhythmia; conduction disorders; cardiac arrest, ventricular fibrillation, or ventricular flutter; cardiomyopathy; congenital heart and great artery defects; conversion of cardiac rhythm; endocarditis, myocarditis, or pericarditis; hypertensive heart disease; ischemic heart disease; nonrheumatic valve disorders; pulmonary heart disease; rheumatic heart disease; and other heart diseases and complications. We calculated the prevalence of hospitalizations with any cardiovascular condition in the year postpartum. Among these patients, we calculated the prevalence of cardiovascular conditions at delivery hospitalization and the frequency of postpartum hospitalizations. For postpartum hospitalizations with cardiovascular conditions, we calculated timing relative to delivery hospitalization and the prevalence (95% CI) of specific cardiovascular conditions by timing since delivery hospitalization (early postpartum [1–42 days] vs late postpartum [43–365 days]), accounting for clustering at the patient level. The data were collected and statistically deidentified. The data are also compliant with the conditions set forth in sections 164.514(a) and 164.51(b)(1)(ii) of the Health Insurance Portability and Accountability Act of 1996 Privacy Rule; therefore, approval from an Institutional Review Board was not sought.

BACKGROUND: Marijuana is the most commonly used federally illicit substance among reproductive-age women in the United States. Updated information on marijuana use in this population can inform clinical and public health interventions. METHODS: Data from the 2013-2019 National Survey on Drug Use and Health was used to report weighted prevalence estimates of marijuana use in the past month, past 2-12 months, and past year among women aged 18-44 years with self-reported pregnancy status. Bivariate analyses and general linear regression models with Poisson distribution using appropriate survey procedures identified factors associated with past-year marijuana use by pregnancy status. RESULTS: Among pregnant women, 4.9% (95% confidence interval [CI]: 4.1-5.6) reported marijuana use in the past month, 10.4% (95% CI: 9.3-11.5) in the past 2-12 months, and 15.2% (95% CI: 13.9-16.6) in the past year. Among nonpregnant women, 11.8% (95% CI: 11.5-12.0) reported marijuana use in the past month, 7.8% (95% CI: 7.6-8.0) in the past 2-12 months, and 19.5% (95% CI: 19.2-19.9) in the past year. After adjusting for sociodemographic characteristics, past-year marijuana use was 2.3-5.1 times more likely among pregnant, and 2.1 to 4.6 times more likely among nonpregnant women who reported past-year tobacco smoking, alcohol use, or other illicit drug use compared to those reporting no substance use. CONCLUSIONS: Pregnant and nonpregnant women reporting marijuana use, alone or with other substances, can benefit from substance use screening and treatment facilitation.

Long COVID is a condition encompassing a wide range of health problems that emerge, persist, or return following COVID-19. CDC analyzed national repeat cross-sectional Household Pulse Survey data to estimate the prevalence of long COVID and significant related activity limitation among U.S. adults aged ≥18 years by age group. Data from surveys completed between June 1-13, 2022, and June 7-19, 2023, indicated that long COVID prevalence decreased from 7.5% (95% CI = 7.1-7.9) to 6.0% (95% CI = 5.7-6.3) among the overall U.S. adult population, irrespective of history of previous COVID-19, and from 18.9% (95% CI = 17.9-19.8) to 11.0% (95% CI = 10.4-11.6) among U.S. adults reporting previous COVID-19. Among both groups, prevalence decreased from June 1-13, 2022, through January 4-16, 2023, before stabilizing. When stratified by age, only adults aged <60 years experienced significant rates of decline (p<0.01). Among adults reporting previous COVID-19, prevalence decreased among those aged 30-79 years through fall or winter and then stabilized. During June 7-19, 2023, 26.4% (95% CI = 24.0-28.9) of adults with long COVID reported significant activity limitation, the prevalence of which did not change over time. These findings help guide the ongoing COVID-19 prevention efforts and planning for long COVID symptom management and future health care service needs.

BACKGROUND: The postpartum period represents an opportunity to assess the cardiovascular health of women who experience chronic hypertension or hypertensive disorders of pregnancy. OBJECTIVES: To determine whether women with chronic hypertension or hypertensive disorders of pregnancy access outpatient postpartum care more quickly compared to women with no hypertension. STUDY DESIGN: We used data from the Merative MarketScan® Commercial Claims and Encounters Database. We included 275,937 commercially insured women aged 12-55 years who had a live birth or stillbirth delivery hospitalization between 2017-2018 and continuous insurance enrollment from 3 months before the estimated start of pregnancy to 6 months after delivery discharge. Using International Classification of Diseases 10th Revision Clinical Modification codes, we identified hypertensive disorders of pregnancy from inpatient or outpatient claims from 20 weeks gestation through delivery hospitalization and identified chronic hypertension from inpatient or outpatient claims from the beginning of the continuous enrollment period through delivery hospitalization. Distributions of time-to-event survival curves (time-to-first outpatient postpartum visit with a women's health, primary care, or cardiology provider) were compared between the hypertension types using Kaplan-Meier estimators and log rank tests. We used Cox proportional hazards models to estimate adjusted hazard ratios (aHR) and 95% confidence intervals (CI). Time points of interest (3, 6, and 12 weeks) were evaluated per clinical postpartum care guidelines. RESULTS: Among commercially insured women, the prevalences of hypertensive disorders of pregnancy, chronic hypertension, and no documented hypertension were 11.7%, 3.4%, and 84.8%, respectively. The proportions of women with a visit within 3 weeks of delivery discharge were 28.5%, 26.4%, and 16.0% for hypertensive disorders of pregnancy, chronic, and no documented hypertension, respectively. By 12 weeks, the proportions increased to 62.4%, 64.5%, and 54.2%, respectively. Kaplan-Meier analyses indicated significant differences in utilization by hypertension type and interaction between hypertension type and time before and after 6 weeks. In adjusted Cox proportional hazards models, the utilization rate before 6 weeks among women with hypertensive disorders of pregnancy was 1.42 times the rate for women with no documented hypertension [aHR=1.42, 95% CI (1.39-1.45)]. Women with chronic hypertension also had higher utilization rates compared to women with no documented hypertension before 6 weeks [aHR=1.28, 95% CI: (1.24-1.33)]. Only chronic hypertension was significantly associated with utilization compared to the no documented hypertension group after 6 weeks [aHR=1.09, 95% CI: (1.03-1.14)]. CONCLUSIONS: In the 6 weeks following delivery discharge, women with hypertensive disorders of pregnancy and chronic hypertension attended outpatient postpartum care visits sooner than women with no documented hypertension. However, after 6 weeks this difference extended only to women with chronic hypertension. Overall, postpartum care utilization remained around 50-60% by 12 weeks in all groups. Addressing barriers to postpartum care attendance can ensure timely care for women at high risk for cardiovascular disease.

BACKGROUND: Estimates of cardiac arrest occurring during delivery guide evidence-based strategies to reduce pregnancy-related death. OBJECTIVE: To investigate rate of, maternal characteristics associated with, and survival after cardiac arrest during delivery hospitalization. DESIGN: Retrospective cohort study. SETTING: U.S. acute care hospitals, 2017 to 2019. PARTICIPANTS: Delivery hospitalizations among women aged 12 to 55 years included in the National Inpatient Sample database. MEASUREMENTS: Delivery hospitalizations, cardiac arrest, underlying medical conditions, obstetric outcomes, and severe maternal complications were identified using codes from the International Classification of Diseases, 10th Revision, Clinical Modification. Survival to hospital discharge was based on discharge disposition. RESULTS: Among 10 921 784 U.S. delivery hospitalizations, the cardiac arrest rate was 13.4 per 100 000. Of the 1465 patients who had cardiac arrest, 68.6% (95% CI, 63.2% to 74.0%) survived to hospital discharge. Cardiac arrest was more common among patients who were older, were non-Hispanic Black, had Medicare or Medicaid, or had underlying medical conditions. Acute respiratory distress syndrome was the most common co-occurring diagnosis (56.0% [CI, 50.2% to 61.7%]). Among co-occurring procedures or interventions examined, mechanical ventilation was the most common (53.2% [CI, 47.5% to 59.0%]). The rate of survival to hospital discharge after cardiac arrest was lower with co-occurring disseminated intravascular coagulation (DIC) without or with transfusion (50.0% [CI, 35.8% to 64.2%] or 54.3% [CI, 39.2% to 69.5%], respectively). LIMITATIONS: Cardiac arrests occurring outside delivery hospitalizations were not included. The temporality of arrest relative to the delivery or other maternal complications is unknown. Data do not distinguish cause of cardiac arrest, such as pregnancy-related complications or other underlying causes among pregnant women. CONCLUSION: Cardiac arrest was observed in approximately 1 in 9000 delivery hospitalizations, among which nearly 7 in 10 women survived to hospital discharge. Survival was lowest during hospitalizations with co-occurring DIC. PRIMARY FUNDING SOURCE: None.

This cross-sectional study investigates trends in death rates and proportion of deaths by pregnancy period among pregnant and postpartum individuals from 1994 to 2019.

OBJECTIVE: To describe clinician screening practices for prior hypertensive disorders of pregnancy, knowledge of future risks associated with hypertensive disorders of pregnancy, barriers and facilitators to referrals for cardiovascular disease risk evaluation in women with prior hypertensive disorders of pregnancy, and variation by clinician- and practice-level characteristics. METHODS: We used data from Fall DocStyles 2020, a cross-sectional, web-based panel survey of currently practicing U.S. clinicians. Of 2,231 primary care physicians, obstetrician-gynecologists (ob-gyns), nurse practitioners, and physician assistants invited to participate, 67.3% (n=1,502) completed the survey. We calculated the prevalence of screening, knowledge of future risks, and barriers and facilitators to referrals, and assessed differences by clinician type using 2 tests. We evaluated associations between clinician- and practice-level characteristics and not screening using a multivariable log-binomial model. RESULTS: Overall, 73.6% of clinicians screened patients for a history of hypertensive disorders of pregnancy; ob-gyns reported the highest rate of screening (94.8%). Overall, 24.8% of clinicians correctly identified all cardiovascular risks associated with hypertensive disorders of pregnancy listed in the survey. Lack of patient follow-through (51.5%) and patient refusal (33.6%) were the most frequently cited barriers to referral. More referral options (42.9%), patient education materials (36.2%), and professional guidelines (34.1%) were the most frequently cited resources needed to facilitate referrals. In the multivariable model, primary care physicians and nurse practitioners, as well as physician assistants, were more likely than ob-gyns to report not screening (adjusted prevalence ratio 5.54, 95% CI 3.24-9.50, and adjusted prevalence ratio 7.42, 95% CI 4.27-12.88, respectively). Clinicians seeing fewer than 80 patients per week (adjusted prevalence ratio 1.81, 95% CI 1.43-2.28) were more likely to not screen relative to those seeing 110 or more patients per week. CONCLUSION: Three quarters of clinicians reported screening for a history of hypertensive disorders of pregnancy; however, only one out of four clinicians correctly identified all of the cardiovascular risks associated with hypertensive disorders of pregnancy listed in the survey.

BACKGROUND: To explore the prevalence, pharmacologic treatment, and control of hypertension among US non-pregnant women of reproductive age by race/Hispanic origin to identify potential gaps in care. METHODS: We pooled data from the 2011 to March 2020 (pre-pandemic) National Health and Nutrition Examination Survey cycles. Our analytic sample included 4,590 non-pregnant women aged 20-44 years who had at least one examiner-measured blood pressure (BP) value. We estimated prevalences and 95% CIs of hypertension, pharmacologic treatment, and control based on the 2003 Joint Committee on High Blood Pressure (JNC 7) and the 2017 American College of Cardiology and the American Heart Association (ACC/AHA) guidelines. We evaluated differences by race/Hispanic origin using Rao-Scott chi-square tests. RESULTS: Applying ACC/AHA guidelines, hypertension prevalence ranged from 14.0% (95% CI: 12.0, 15.9) among Hispanic women to 30.9% (95% CI: 27.8, 34.0) among Non-Hispanic Black women. Among women with hypertension, non-Hispanic Black women had the highest eligibility for pharmacological treatment (65.5%, 95% CI: 60.4, 70.5); current use was highest among White women (61.8%, 95% CI: 53.8, 69.9). BP control ranged from 5.2% (95% CI: 1.1, 9.3) among women of Another or Multiple non-Hispanic races to 18.6% (95% CI: 12.1, 25.0) among Hispanic women. CONCLUSIONS: These findings highlight the importance of monitoring hypertension, pharmacologic treatment, and control by race/Hispanic origin and addressing barriers to equitable hypertension care among women of reproductive age.

Hypertensive disorders in pregnancy (HDPs), defined as prepregnancy (chronic) or pregnancy-associated hypertension, are common pregnancy complications in the United States.* HDPs are strongly associated with severe maternal complications, such as heart attack and stroke (1), and are a leading cause of pregnancy-related death in the United States.(†) CDC analyzed nationally representative data from the National Inpatient Sample to calculate the annual prevalence of HDP among delivery hospitalizations and by maternal characteristics, and the percentage of in-hospital deaths with an HDP diagnosis code documented. During 2017-2019, the prevalence of HDP among delivery hospitalizations increased from 13.3% to 15.9%. The prevalence of pregnancy-associated hypertension increased from 10.8% in 2017 to 13.0% in 2019, while the prevalence of chronic hypertension increased from 2.0% to 2.3%. Prevalence of HDP was highest among delivery hospitalizations of non-Hispanic Black or African American (Black) women, non-Hispanic American Indian and Alaska Native (AI/AN) women, and women aged ≥35 years, residing in zip codes in the lowest median household income quartile, or delivering in hospitals in the South or the Midwest Census regions. Among deaths that occurred during delivery hospitalization, 31.6% had any HDP documented. Clinical guidance for reducing complications from HDP focuses on prompt identification and preventing progression to severe maternal complications through timely treatment (1). Recommendations for identifying and monitoring pregnant persons with hypertension include measuring blood pressure throughout pregnancy,(§) including self-monitoring. Severe complications and mortality from HDP are preventable with equitable implementation of strategies to identify and monitor persons with HDP (1) and quality improvement initiatives to improve prompt treatment and increase awareness of urgent maternal warning signs (2).

BACKGROUND: Clinical practices can use telemedicine and other strategies (e.g., self-measured blood pressure [SMBP]) for remote monitoring of hypertension to promote control while decreasing risk of exposure to SARS-CoV-2, the virus that causes COVID-19. METHODS: The DocStyles survey collected data from primary care providers (PCPs), obstetricians-gynecologists (OB/GYNs), and nurse practitioners/physician assistants (NP/PAs) in fall 2020 (n=1,502). We investigated clinical practice changes for monitoring hypertension that were implemented early in the COVID-19 pandemic and examined differences by clinician and practice characteristics (p<0.05). RESULTS: Overall, 369 (24.6%) of clinicians reported their clinical practices made no changes in monitoring hypertension early in the pandemic, 884 (58.9%) advised patients to monitor blood pressure at home or a pharmacy, 699 (46.5%) implemented or increased use of telemedicine for blood pressure monitoring visits, and 545 (36.3%) reduced the frequency of office visits for blood pressure monitoring. Compared with NP/PAs, PCPs were more likely to advise SMBP monitoring (adjusted prevalence ratios (aPR) 1.28, 95% confidence intervals (CI) 1.11-1.47), implement or increase use of telemedicine (aPR 1.23, 95% CI 1.04-1.46) and reduce the frequency of office visits (aPR 1.37, 95% CI 1.11-1.70) for blood pressure monitoring, and less likely to report making no practice changes (aPR 0.63, 95% CI 0.51-0.77). CONCLUSIONS: We noted variation in clinical practice changes by clinician type and practice characteristics. Clinical practices may need additional support and resources to fully maximize telemedicine and other strategies for remote monitoring of hypertension during pandemics and other emergencies that can disrupt routine health care.

We used data from the 2016 Nepal National Micronutrient Status Survey to evaluate factors associated with anaemia (World Health Organization cut-points using altitude- and smoking-adjusted haemoglobin [Hb]) among nationally representative samples of adolescents 10-19 years. Hb, biomarkers of micronutrients, infection and inflammation were assessed from venous blood. Sociodemographic and household characteristics, dietary diversity, pica and recent morbidity were ascertained by interview. We explored bivariate relationships between candidate predictors and anaemia among boys (N = 967) and girls (N = 1,680). Candidate predictors with P < 0.05 in bivariate analyses were included in sex-specific multivariable logistic regression models. Anaemia prevalence was 20.6% (95% confidence interval [CI] [17.1, 24.1]) among girls and 10.9% (95% CI [8.2, 13.6]) among boys. Among girls, living in the Mountain and Hill ecological zones relative to the Terai (adjusted odds ratio [AOR] 0.28, 95% CI [0.15, 0.52] and AOR 0.42, 95% CI [0.25, 0.73], respectively), ln ferritin (μg/L) (AOR 0.53, 95% CI [0.42, 0.68]) and ln retinol binding protein (RBP) (μmol/L) (AOR 0.08, 95% CI [0.04, 0.16]) were associated with reduced anaemia odds. Older age (age in years AOR 1.19, 95% CI [1.12, 1.27]) and Janajati ethnicity relative to the Muslim ethnicity (AOR 3.04, 95% CI [1.10, 8.36]) were associated with higher anaemia odds. Among boys, ln RBP [μmol/L] (AOR 0.25, 95% CI [0.10, 0.65]) and having consumed flesh foods (AOR 0.57, 95% CI [0.33, 0.99]) were associated with lower anaemia odds. Open defecation (AOR 2.36, 95% CI [1.15, 4.84]) and ln transferrin receptor [mg/L] (AOR 3.21, 95% CI [1.25, 8.23]) were associated with increased anaemia odds. Anaemia among adolescents might be addressed through effective public health policy and programs targeting micronutrient status, diet and sanitation.

BACKGROUND: In the United States, the prevalence of anemia, iron deficiency (ID), and iron-deficiency anemia (IDA) during pregnancy remains largely unknown as data at the national or state level are limited or nonexistent, respectively. OBJECTIVES: In an effort to identify opportunities to improve maternal health surveillance, we assessed the feasibility of anemia, ID, and IDA surveillance among first-trimester pregnancies using electronic health records (EHRs). METHODS: We identified pregnancies among Kaiser Permanente Northwest members aged ≥18 y during 2005-2016 with first-trimester prenatal care (n = 41,991). Earliest laboratory test results for hemoglobin or hematocrit and ferritin were selected. We describe the proportion of pregnancies screened for and the prevalence of anemia, ID, and IDA; the concordance of anemia status by hemoglobin compared with hematocrit; and the proportion of pregnancies with laboratory-confirmed anemia that also had an International Classification of Diseases diagnostic code related to anemia. RESULTS: Identified pregnancies included women who were 73.1% non-Hispanic (NH) white, 11.5% Hispanic, 8.5% NH Asian/Pacific Islander, and 2.9% NH black. Hemoglobin and hematocrit results were available for 92.7% (n = 38,923) pregnancies. Anemia prevalence was 2.7% (n = 1045) based on hemoglobin <11.0 g/dL or hematocrit <33%;  45.2% of anemia cases had both low hemoglobin and low hematocrit. Among pregnancies with anemia, 18.9% (n = 197) had a ferritin result; of those, 48.2% had ID (ferritin <15 μg/L). In pregnancies without anemia, 3.4% (n = 1275) had a ferritin result; of those, 23.5% had ID. Based on 1472 pregnancies with both anemia and ID assessed, prevalence of ID and IDA was 26.8% and 6.5%, respectively; estimates likely represent selective screening. CONCLUSIONS: EHR data have potential to monitor anemia prevalence and trends in health systems where prenatal anemia screening is nearly universal. However, if iron assessment is not routine, then representative estimates of ID or IDA are unattainable.

BACKGROUND: There is little evidence of the impact of integrated programs distributing nutrition supplements with behavior change on infant and young child feeding (IYCF) practices. OBJECTIVE: We evaluated the impact of an integrated IYCF/micronutrient powder intervention on IYCF practices among caregivers of children aged 12-23 mo in eastern Uganda. METHODS: We used pre-post data from 2 population-based, cross-sectional surveys representative of children aged 12-23 mo in Amuria (intervention) and Soroti (nonintervention) districts (n = 2816). Caregivers were interviewed in June/July at baseline in 2015 and 12 mo after implementation in 2016. We used generalized linear mixed models with cluster as a random effect to calculate the average intervention effect on receiving IYCF counseling, ever breastfed, current breastfeeding, bottle feeding, introducing complementary feeding at age 6 mo, continued breastfeeding at ages 1 and 2 y, minimum meal frequency (MMF), minimum dietary diversity, minimum acceptable diet (MAD), and consumption of food groups the day preceding the survey. RESULTS: Controlling for child age and sex, household wealth and food security, and caregiver schooling, the intervention was positively associated with having received IYCF counseling by village health team [adjusted prevalence difference-in-difference (APDiD): +51.6%; 95% CI: 44.0%, 59.2%]; timely introduction of complementary feeding (APDiD: +21.7%; 95% CI: 13.4%, 30.1%); having consumed organs or meats (APDiD: +9.0%; 95% CI: 1.4%, 16.6%) or vitamin A-rich fruits or vegetables (APDiD: +17.5%; 95% CI: 4.5%, 30.5%); and MMF (APDiD: +18.6%; 95% CI: 11.2%, 25.9%). The intervention was negatively associated with having consumed grains, roots, or tubers (APDiD: -4.4%; 95% CI: -7.0%, -1.7%) and legumes, nuts, or seeds (APDiD: -15.6%; 95% CI: -26.2%, -5.0%). Prevalences of some IYCF practices were low in Amuria at endline including MAD (19.1%; 95% CI :16.3%, 21.9%). CONCLUSIONS: The intervention had a positive impact on several IYCF practices; however, endline prevalence of some indicators suggests a continued need to improve complementary feeding practices.

BACKGROUND: High-dose vitamin A (VA) supplements (VAS) can temporarily affect VA status. Hence, micronutrient surveys might need to be timed around VAS campaigns to accurately estimate VA deficiency (VAD) prevalence. Little is known about optimal timing of micronutrient surveys when the modified-relative-dose-response (MRDR) is used as a VA indicator. OBJECTIVES: We evaluated the association between days since the end of a VAS campaign and MRDR values in children aged 12-23 mo in Uganda. METHODS: We pooled data from 2 cross-sectional, population-based surveys in eastern Uganda conducted in 2015-2016 (n = 118 children). We estimated the prevalence of VAD (MRDR ≥0.060). Days since the end of a VAS campaign ("days since VAS") was calculated as the interview date minus the end date of the VAS campaign. The MRDR value was assessed using HPLC. We excluded children whose MRDR values were below the limit of detection (<0.007). We used linear regression to evaluate the association between days since VAS and log-transformed MRDR. In adjusted analyses, we controlled for potential confounders. Statistical analyses accounted for the surveys' complex design. RESULTS: The prevalence of VAD was 5.2% (95% CI: 1.1%, 9.3%). Mean days since VAS was 54.1 d (range 39-68 d). Days since VAS was not associated with log-transformed MRDR in unadjusted analyses ($\hat{\beta } = \ $0.0055; 95% CI: -0.009, 0.020; P = 0.45) or adjusted analyses ($\hat{\beta } = $ -0.0073; 95% CI: -0.024, 0.010; P = 0.39). CONCLUSIONS: MRDR measurement through a nutrition survey began as early as 1.3 mo after the end of a VAS campaign in eastern Uganda. Days since the end of a VAS campaign was not associated with MRDR in Ugandan children aged 12-23 mo. Future studies should consider longitudinal designs and evaluate time since VAS and MRDR in children of different ages and in regions with higher VAD prevalence.

Retinol-binding protein (RBP), retinol, and modified-relative-dose response (MRDR) are used to assess vitamin A status. We describe vitamin A status in Ugandan children and women using dried blood spot (DBS) RBP, serum RBP, plasma retinol, and MRDR and compare DBS-RBP, serum RBP, and plasma retinol. Blood was collected from 39 children aged 12-23 months and 28 non-pregnant mothers aged 15-49 years as a subsample from a survey in Amuria district, Uganda, in 2016. DBS RBP was assessed using a commercial enzyme immunoassay kit, serum RBP using an in-house sandwich enzyme-linked immunosorbent assay, and plasma retinol/MRDR test using high-performance liquid chromatography. We examined (a) median concentration or value (Q1, Q3); (b) R(2) between DBS-RBP, serum RBP, and plasma retinol; and (c) Bland-Altman plots. Median (Q1, Q3) for children and mothers, respectively, were as follows: DBS-RBP 1.15 µmol/L (0.97, 1.42) and 1.73 (1.52, 1.96), serum RBP 0.95 µmol/L (0.78, 1.18) and 1.47 µmol/L (1.30, 1.79), plasma retinol 0.82 µmol/L (0.67, 0.99) and 1.33 µmol/L (1.22, 1.58), and MRDR 0.025 (0.014, 0.042) and 0.014 (0.009, 0.019). DBS RBP-serum RBP R(2) was 0.09 for both children and mothers. The mean biases were -0.19 µmol/L (95% limits of agreement [LOA] 0.62, -0.99) for children and -0.01 µmol/L (95% LOA -1.11, -1.31) for mothers. DBS RBP-plasma retinol R(2) was 0.11 for children and 0.13 for mothers. Mean biases were 0.33 µmol/L (95% LOA -0.37, 1.03) for children, and 0.29 µmol/L (95% LOA -0.69, 1.27) for mothers. Serum RBP-plasma retinol R(2) was 0.75 for children and 0.55 for mothers, with mean biases of 0.13 µmol/L (95% LOA -0.23, 0.49) for children and 0.18 µmol/L (95% LOA -0.61, 0.96) for mothers. Results varied by indicator and matrix. The serum RBP-retinol R(2) for children was moderate (0.75), but poor for other comparisons. Understanding the relationships among vitamin A indicators across contexts and population groups is needed.

Little is known about body size over the life-course and non-communicable disease risk in low- and middle-income country populations. Our study explored the role of body mass index (BMI) trajectories from infancy through mid-adulthood on cardio-metabolic disease (CMD) risk factors in a prospective cohort of Guatemalan adults. Study participants were born in Guatemala from 1962-77 and have been followed prospectively since participating in a nutrition supplementation trial as children. Sex-specific BMI latent class trajectories were derived using latent class growth modeling from up to 22 possible BMI values from age 1 month to 42 years measured between 1969 and 2004. CMD risk factors were assessed in 2015-17 (at age 37-54 years) using anthropometry, blood glucose and lipids, and blood pressure. We used logistic regression to assess the role of BMI trajectory on CMD risk factors in 510 women and 346 men (N = 856). We identified two BMI latent classes for women (low [n = 287, 56.3%] and high [n = 223, 43.7%]) and three classes for men (low [n = 141, 40.8%], medium [n = 160, 46.2%], and high [n = 45, 13.0%]). Given the small percentage of men in the high BMI latent class, we collapsed the medium and high BMI latent classes for men (n = 205, 59.1%). Among the most prevalent CMD risk factors at ages 37-54 years were abdominal obesity defined by waist-height ratio (99.6% of women and 87.3% of men), obesity defined by percent body fat (96.6% of women and 75.9% of men), low HDL-c (87.5% of women and 74.5% of men), and elevated triglycerides (78.3% of women and 73.6% of men). Except for obesity defined by BMI, we found no associations between BMI latent class and CMD risk factors in women. Among men, BMI latent class was not associated with CMD risk factors after controlling for current BMI. For the CMD risk factors we analyzed, the role of early life BMI on adult CMD appeared to be mediated by adult BMI among men-highlighting the need to establish and maintain healthy body weight over the life course.

BACKGROUND: Micronutrient powders (MNP) can reduce iron deficiency and anemia in children. OBJECTIVE: We evaluated the impact of an integrated infant and young child feeding (IYCF)-MNP intervention on anemia and micronutrient status among children aged 12-23 mo in Eastern Uganda. The intervention focused on MNP distribution, IYCF education, and caregiver behavior change. METHODS: Population-based cross-sectional surveys representative of children aged 12-23 mo in Amuria (intervention) and Soroti (nonintervention) districts were collected in June/July 2015 at baseline (n = 1260) and 12 mo after implementation at endline in 2016 (n = 1490). From pooled capillary blood, we assessed hemoglobin, malaria, ferritin, retinol binding protein (RBP), C-reactive protein, and ɑ1-acid glycoprotein. Ferritin and RBP were regression-adjusted to correct for inflammation. Caregivers reported sociodemographic characteristics and MNP knowledge and practices. Linear regression estimated the difference-in-difference (DiD) effect of MNP on hemoglobin, ferritin, and RBP, and logistic regression estimated DiD effect of MNP on anemia (hemoglobin <11.0 g/dL), iron deficiency (ferritin <12.0 µg/L), iron deficiency anemia (hemoglobin <11.0 g/dL and ferritin <12.0 µg/L), and vitamin A deficiency (VAD; RBP equivalent to <0.70 µmol/L retinol: <0.79 µmol/L at baseline and RBP <0.67 µmol/L at endline). RESULTS: In Amuria, 96% of children had ever consumed MNP versus <1% of children in Soroti. Fifty-four percent of caregivers reported organoleptic changes when MNP were added to foods cooked with soda ash. Adjusting for age, sex, malaria, recent morbidity, and household-level factors, the intervention was associated with -0.83 g/dL lower hemoglobin (95% CI, -1.36, -0.30 g/dL; P = 0.003) but not with anemia, ferritin, iron deficiency, iron deficiency anemia, RBP, or VAD. CONCLUSIONS: Despite high program fidelity, the intervention was associated with reduced hemoglobin concentrations but not with change in anemia or micronutrient status among children aged 12-23 mo in Eastern Uganda. Contextual factors, such as cooking with soda ash, might explain the lack of effectiveness.

We used cross-sectional data from the 2016 Nepal National Micronutrient Status Survey to evaluate factors associated with anaemia among a nationally representative sample of nonpregnant women 15- 49 years (n = 1, 918). Haemoglobin, biomarkers of iron status and other micronutrients, infection, inflammation, and blood disorders were assessed from venous blood. Soil-transmitted helminth and Helicobacter pylori infections were assessed from stool. Sociodemographic, household, and health characteristics and diet were ascertained by interview. We conducted bivariate analyses between candidate predictors and anaemia (haemoglobin <12.0 g/ dL, altitude- and smoking-adjusted). Candidate predictors that were significant in bivariate models (P < 0.05) were included in the multivariable logistic regression model, accounting for complex sampling design. Anaemia prevalence was 20.2% (95% confidence interval [CI] [17.6, 22.8]). Associated with reduced anaemia odds were living in the Mountain and Hill ecological zones relative to the Terai (adjusted odds ratio [AOR] 0.35, 95% CI [0.21, 0.60] and AOR 0.41, 95% CI [0.29, 0.59], respectively), recent cough (AOR 0.56, 95% CI [0.38, 0.82]), hormonal contraceptive use (AOR 0.58; 95% CI [0.38, 0.88]), ln ferritin (micrograms per litre; AOR 0.43, 95% CI [0.35, 0.54]), and ln retinol binding protein (micrograms per litre; AOR 0.20, 95% CI [0.11, 0.37]). Residing in a house with an earth floor (AOR 1.74, 95% CI [1.18, 2.56]), glucose-6- phosphate dehydrogenase deficiency (AOR 2.44, 95% CI [1.66, 3.60]), and haemoglobinopathies (AOR 6.15, 95% CI [3.09, 12.26]) were associated with increased anaemia odds. Interventions that improve micronutrient status, ensure access to hormonal birth control, and replace dirt floors to reduce infection risk might help reduce anaemia in this population.

BACKGROUND: Anemia is a major concern for children in Nepal; however, little is known about context-specific causes of anemia. OBJECTIVE: We used cross-sectional data from the 2016 Nepal National Micronutrient Status Survey to evaluate factors associated with anemia in a nationally representative, population-based sample of children 6-59 mo (n = 1367). METHODS: Hemoglobin, biomarkers of iron status and other micronutrients, infection, inflammation, and blood disorders were assessed from venous blood samples. Soil-transmitted helminth (STH) and Helicobacter pylori infections were assessed from stool. Anthropometry was measured with standard procedures. Sociodemographic and household characteristics, diet, micronutrient powder (MNP) intake, pica, and morbidity recall were ascertained by caregiver interview. Multivariable logistic regression that accounted for complex sampling design, determined predictors of anemia (hemoglobin <11.0 g/dL, altitude adjusted); candidate predictors were variables with P < 0.05 in bivariate models. RESULTS: Anemia prevalence was 18.6% (95% CI: 15.8, 21.4). MNP intake [adjusted OR (AOR): 0.25, 95% CI: 0.07, 0.86], log (ln) ferritin (mug/L) (AOR: 0.49, 95% CI: 0.38, 0.64), and ln RBP (mumol/L) (AOR: 0.42, 95% CI: 0.18, 0.95) were associated with reduced odds of anemia. Younger age (6-23 mo compared with 24-59 mo; AOR: 2.29, 95% CI: 1.52, 3.46), other Terai ethnicities (AOR: 2.59, 95% CI: 1.25, 5.35) and Muslim ethnicities (AOR: 3.15, 95% CI: 1.30, 7.65) relative to Brahmin/Chhetri ethnicities, recent fever (AOR: 1.68, 95% CI: 1.08, 2.59), ln C-reactive protein (mg/L) (AOR: 1.23, 95% CI: 1.03, 1.45), and glucose-6-phosphate dehydrogenase deficiency (AOR: 2.84, 95% CI: 1.88, 4.30) were associated with increased odds of anemia. CONCLUSION: Both nonmodifiable and potentially modifiable factors were associated with anemia. Thus some but not all anemia might be addressed through effective public health policy, programs, and delivery of nutrition and infection prevention and control.

We evaluated predictors of micronutrient powder (MNP) sachet coverage and recent intake using data from a cross-sectional survey representative of children aged 12-23 months in Amuria district, Uganda. In June/July 2016, caregivers were interviewed 12 months after implementation of an integrated MNP and infant and young child feeding pilot (N = 761). Logistic regression described predictors of (a) high-MNP sachet coverage (received at least 60 sachets/6 months) and (b) recent intake (consumed MNP during the 2 weeks preceding the survey) among children who had ever received MNP and had complete data (N = 683). Fifty-nine percent (95% Confidence Interval [CI] [53.8, 64.2]) of children had high-MNP sachet coverage, and 65.4% (95% CI [61.0, 69.9]) had recent intake. MNP ration cards (Adjusted Odds Ratio [AOR] 2.67, 95% CI [1.15, 6.23]), organoleptic changes to foods cooked with soda ash (AOR 1.52, 95% CI [1.08, 2.14]), having heard of anaemia (AOR 1.59, 95% CI [1.11, 2.26]), knowledge of correct MNP preparation (AOR 1.89, 95% CI [1.11, 3.19]), and current breastfeeding (AOR 2.04, 95% CI [1.36, 3.08]) were positively associated with MNP coverage whereas older child age (18-23 vs. 12-17 months) was inversely associated with coverage (AOR 0.32, 95% CI [0.23, 0.50]). MNP ration cards (AOR 2.86, 95% CI [1.34, 6.09]), having heard an MNP radio jingle (AOR 1.40, 95% CI [1.01, 1.94]), knowledge of correct MNP preparation (AOR 1.88, 95% CI [1.04, 3.39]), and the child not disliking MNP (AOR 1.90, 95% CI [1.13, 3.22]) were positively associated with recent intake. Interventions that increase caregiver knowledge and skills and focus on older children could improve MNP coverage and recent intake.

BACKGROUND: Latin America is facing an increasing burden of nutrition-related non-communicable disease. Little is known about dietary patterns in Guatemalan adults and how dietary patterns are associated with cardio-metabolic disease (CMD) risk. METHODS: This analysis is based on data from a 2002-04 follow-up study of the INCAP Nutrition Supplementation Trial Longitudinal Cohort. Diet data were collected using a validated, semi-quantitative food frequency questionnaire. We derived dietary patterns using principal components analysis. CMD risk was assessed by anthropometry (body mass index, waist circumference), biochemistry (fasting blood glucose and lipids), and clinical (blood pressure) measures. We used sex-stratified multivariable log binomial models to test associations between dietary pattern tertile and CMD risk factors. The sample included 1,428 participants (681 men and 747 women) ages 25-43 years. RESULTS: We derived 3 dietary patterns (traditional, meat-based modern, and starch-based modern), collectively explaining 24.2% of variance in the diet. Dietary patterns were not associated with most CMD risk factors; however, higher starch-based modern tertiles were associated with increased prevalence of low high density lipoprotein cholesterol (HDL-c) in men (Prevalence Ratio (PR) 1.17, 95% Confidence Interval (CI) 1.01, 1.20 for tertile 2; PR 1.20, 95% CI 1.00, 1.44 for tertile 3; p trend 0.04). Higher traditional tertile was associated with increased prevalence of abdominal obesity in women (PR 1.24, 95% CI 1.07, 1.43 for tertile 2; PR 1.19, 95% CI 1.02, 1.39 for tertile 3; p trend 0.02) but marginally significant reduced prevalence of low HDL-c in men (PR 0.88, 95% CI 0.76, 1.00 for tertile 2; PR 0.85, 95% CI 0.72, 1.00 for tertile 3; p trend 0.05). CONCLUSION: Our findings suggest the presence of two 'modern diet' patterns in Guatemala - one of which was associated with increased prevalence of low HDL-c in men. The association between the traditional dietary pattern and some CMD risk factors may vary by sex.