Family-Centered Care and Delayed or Missed Pediatric Preventive Care due to the COVID-19 Pandemic.

OBJECTIVE: To examine the association between family-centered care and its components with delayed or missed preventive care due to the COVID-9 pandemic among US children. METHODS: This is a cross-sectional study using nationally representative data from the 2021 National Survey of Children's Health (NSCH). Children were eligible if they received health care services in the past 12 months (n = 42,649; 79.3%). We excluded children with missing data, for a final sample of 40,511 (93.7% of the eligible sample). Children were deemed to have received family-centered care if caregivers responded "always" or "usually" to all five measures of family-centered care. Poisson regression was used to ascertain weighted prevalence ratios (PRs) and 95% confidence intervals (CIs). Predisposing, enabling, and need factors of health care services use were evaluated as potential confounders. RESULTS: Approximately 86.7% of children received family-centered care during the pandemic, with significant racial and ethnic differences, findings consistent with pre-pandemic data. In multivariable analyses adjusted for the child's race and age, family-centered care was associated with a 30% reduced likelihood of delayed or missed preventive care (95% CI: 0.64-0.78). Individual components of family-centered care were associated with a 26%-43% reduced likelihood of delayed or missed preventive care. CONCLUSIONS: Family-centered care and its components were associated with a reduced likelihood of delayed or missed pediatric preventive care. Our findings highlight the important role of health care providers in curbing the negative effects of the COVID-19 pandemic on pediatric preventive care utilization and emphasize the need to expand family-centered care among racial and ethnic minority groups.

Fresh fruit, dried fruit, raw vegetables, and cooked vegetables consumption associated with progression trajectory of type 2 diabetes: a multi-state analysis of a prospective cohort.

PURPOSE: To examine the effects of fresh fruit, dried fruit, raw vegetables, and cooked vegetables on type 2 diabetes (T2D) progression trajectory. METHODS: We included 429,886 participants in the UK Biobank who were free of diabetes and diabetes complications at baseline. Food groups were determined using a validated food frequency questionnaire. Outcomes were T2D incidence, complications, and mortality. Multi-state model was used to analyze the effects of food groups on T2D progression. RESULTS: During a follow-up of 12.6 years, 10,333 incident T2D cases were identified, of whom, 3961 (38.3%) developed T2D complications and 1169 (29.5%) died. We found that impacts of four food groups on T2D progression varied depending on disease stage. For example, compared to participants who ate less than one piece of dried fruit per day, the hazard ratios and 95% confidence intervals for those who ate ≥ 2 pieces of dried fruit per day were 0.82 (0.77, 0.87), 0.88 (0.85, 0.92), and 0.86 (0.78, 0.95) for transitions from diabetes-free state to incident T2D, from diabetes-free state to total death, and from incident T2D to T2D complications, respectively. Higher intake of fresh fruit was significantly associated with lower risk of disease progression from diabetes-free state to all-cause death. Higher intake of raw and cooked vegetables was significantly associated with lower risks of disease progression from diabetes-free state to incident T2D and to total death. CONCLUSIONS: These findings indicate that higher intake of fresh fruit, dried fruit, raw vegetables, and cooked vegetables could be beneficial for primary and secondary prevention of T2D.

Associations of glycosylated hemoglobin, pre-diabetes, and type 2 diabetes with incident lung cancer: A large prospective cohort study.

BACKGROUND: The association of pre-diabetes and type 2 diabetes (T2D) with incident lung cancer is uncertain, and the incident risk across the glycemic spectrum is unclear. We aimed to explore the associations of glycosylated hemoglobin (HbA1c), pre-diabetes, and T2D with incident lung cancer in a large prospective cohort. METHODS: Leveraging a total of 210,779 cancer-free adults recruited in the UK Biobank between 2006 and 2010. We performed multivariable Cox proportional hazards models and restricted cubic spline methods to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the associations of HbA1c, pre-diabetes, and T2D with incident lung cancer. RESULTS: During a median follow-up of 11.06 years, 1738 incident lung cancer cases were ascertained. The incidence of lung cancer was 20% higher among people with diabetes (HR: 1.20, 95% CI: 1.02 to 1.42) and 38% higher among people with pre-diabetes (HR: 1.38, 95% CI: 1.15 to 1.65). After dividing people with diabetes by whether taking antidiabetic medications, the incidence was 28% higher among people with diabetes without medications (HR: 1.28, 95% CI: 1.02 to 1.61) and 15% higher among people with diabetes with medications (HR: 1.15, 95% CI: 0.93 to 1.41). The increased risk of incident lung cancer for each standard deviation (6.45 mmol/mol) increase in HbA1c was more pronounced across HbA1c values of 32-42 mmol/mol (HR: 1.37, 95% CI: 1.18 to 1.59). The risk was more pronounced among participants <60 years. CONCLUSIONS: Pre-diabetes and T2D are associated with an increased incidence of lung cancer. The increased risk of incident lung cancer is more pronounced across HbA1c values of 32-42 mmol/mol, which are currently considered normal values.

Association between outdoor light at night and hypertension and high-normal blood pressure: A nationwide cross-sectional study among Chinese adults.

The authors aimed to investigate the association between outdoor light at night (LAN) intensity and blood pressure. The study included 13 507 participants aged 45 and above from the 2011-2012 China Health and Retirement Longitudinal Study baseline survey. Blood pressure measurements were obtained by averaging the last two readings recorded (three measurements with an interval of 45-60 s between each measurement) during the survey. Outdoor LAN intensity was assessed using Defense Meteorological Satellite Program data. The study categorized participants based on quartiles of outdoor LAN intensity and employed statistical methods like linear regression, restricted cubic splines, and logistic models to analyze the connections. After adjusting for potential confounding factors, higher levels of outdoor LAN intensity were associated with increase in systolic blood pressure (0.592 mmHg/interquartile range [IQR], 95% confidence interval [CI]: 0.027,1.157), diastolic blood pressure (0.853 mmHg/IQR, 95% CI: 0.525,1.180) and mean arterial pressure (0.766 mmHg/IQR, 95% CI: 0.385,1.147). Interestingly, the relationship between LAN intensity and odds of hypertension followed a non-linear pattern, resembling a reverse "L" shape on cubic splines. Participants with the highest quartile of outdoor LAN intensity had 1.31-fold increased odds of hypertension (95% CI: 1.08-1.58) compared to the lowest quartile. Additionally, there was an observable trend of rising odds for high-normal blood pressure with higher levels of LAN intensity in the crude model, but no statistically significant differences were observed after adjusting for confounding factors. In conclusion, this study underscores a significant connection between outdoor LAN intensity and the prevalence of hypertension.

Ranking age-specific modifiable risk factors for cardiovascular disease and mortality: evidence from a population-based longitudinal study.

Background: Cardiovascular disease (CVD) remains a paramount contemporary health challenge. This study examined age-specific effects of 14 risk factors on CVD and mortality in different age groups. Methods: We analyzed data from 226,759 CVD-free participants aged 40 years and older in the UK Biobank during the period from baseline time (2006-2010) to September 30, 2021. The primary CVD outcome was a composite of incident coronary artery disease, heart failure, and stroke. We calculated age-specific hazard ratios (HRs) and population-attributable fractions (PAF) for CVD and mortality associated with 14 potentially modifiable risk factors. Findings: During 12.17-year follow-up, 23,838 incident CVD cases and 11,949 deaths occurred. Age-specific disparities were observed in the risk factors contributing to CVD, and the overall PAF declined with age (PAF of 56.53% in middle-age; 49.78% in quinquagenarian; 42.45% in the elderly). Metabolic factors had the highest PAF in each age group, with hypertension (14.04% of the PAF) and abdominal obesity (9.58% of the PAF) being prominent. Behavioral factors had the highest PAF in the middle-aged group (10.68% of the PAF), and smoking was the leading behavioral factor in all age groups. In socioeconomic and psychosocial risk clusters, low income contributed most among middle-aged (3.74% of the PAF) and elderly groups (3.66% of the PAF), while less education accounted more PAF for quinquagenarian group (4.46% of the PAF). Similar age-specific patterns were observed for cardiovascular subtypes and mortality. Interpretation: A large fraction of CVD cases and deaths were associated with modifiable risk factors in all age groups. Targeted efforts should focus on the most impactful risk factors, as well as age-specific modifiable risk factors. These findings may inform the development of more precise medical strategies to prevent and manage CVD and related mortality. Funding: The work was supported by the Bill & Melinda Gates Foundation (grant number: INV-016826 to Hualiang Lin) and the National Natural Science Foundation of China (grant number: 82373534 to Hualiang Lin).

Factors associated with unmet pediatric health care needs during the coronavirus pandemic.

PURPOSE: To examine risk factors for unmet pediatric health care needs during the coronavirus pandemic in a national sample of US children under 17 years of age. DESIGN AND METHODS: In this cross-sectional study, we used data from the 2021 National Survey of Children's Health (n = 50,892). Unmet pediatric health care needs were assessed as follows: "during the past 12 months, was there any time when this child needed health care but it was not received?". Logistic regression with multiple imputations was used to evaluate bivariate and multivariable associations between predisposing, enabling, and need factors of health care services use and unmet pediatric health care needs. RESULTS: Approximately 3.6% of children had unmet health care needs, with significant differences by sample characteristics. Unmet health care needs were notably prevalent among select groups, including children with difficulty covering basic needs (10.6%) and those with ≥2 health conditions (8.9%). In multivariable analyses, factors associated with unmet pediatric health care needs included predisposing factors such as older age, ≥2 children with special health care needs in the household, primary language other than English or Spanish, and poor caregiver health; enabling factors such as difficulty covering basic needs, no insurance, and no personal doctor or nurse; and need factors such as poor perceived or evaluated child health. Reasons for unmet needs included financial, nonfinancial, and accessibility barriers. CONCLUSIONS: Several factors were associated with unmet health care needs. PRACTICE IMPLICATIONS: We identified children who would benefit from targeted interventions aimed at promoting health care services use.

Associations of Sleep Patterns With Dynamic Trajectory of Cardiovascular Multimorbidity and Mortality: A Multistate Analysis of a Large Cohort.

Background The purpose of this study was to explore the association of sleep patterns with the development of first cardiovascular diseases (FCVD), progression to cardiovascular multimorbidity (CVM), and subsequently to mortality. Methods and Results This prospective study included 381 179 participants without coronary heart disease, stroke, atrial fibrillation, or heart failure at baseline, and they were followed up until March 31, 2021. We generated sleep patterns by summing the scores for 5 sleep behaviors, whereby <7 or >8 hours/d of sleep, evening chronotype, frequent insomnia, snoring, and daytime dozing were defined as high-risk groups. We used a multistate model to estimate the impacts of sleep patterns on the dynamic progression of cardiovascular diseases. Over a median follow-up of 12.1 years, 41 910 participants developed FCVD, 7302 further developed CVM, and 20 707 died. We found that adverse sleep patterns were significantly associated with the transition from health to FCVD, from FCVD to CVM, and from health to death, with hazard ratio associated with 1-factor increase in sleep scores being 1.08 (95% CI, 1.07-1.09), 1.04 (95% CI, 1.02-1.06), and 1.04 (95% CI, 1.02-1.05), respectively. When further dividing FCVD into coronary heart disease, stroke, atrial fibrillation, and heart failure, adverse sleep patterns showed a significant and persistent effect on the transition from health to each cardiovascular disease, and from heart failure or atrial fibrillation to CVM. Conclusions Our study provides evidence that adverse sleep patterns might increase the risk for the progression from health to cardiovascular diseases and further to CVM. Our findings suggest that improving sleep behaviors might be helpful for the primary and secondary prevention of cardiovascular diseases.

Racial and Ethnic Differences in Factors Associated With Delayed or Missed Pediatric Preventive Care in the US Due to the COVID-19 Pandemic.

Importance: The COVID-19 pandemic has disrupted medical care use. Yet information on how the pandemic has affected pediatric preventive care use in the US is lacking. Objective: To examine the prevalence of and risk and protective factors for delayed or missed pediatric preventive care in the US due to the COVID-19 pandemic, further stratified by race and ethnicity to assess associations by groups. Design, Setting, and Participants: This cross-sectional study used data from the 2021 National Survey of Children's Health (NSCH) collected between June 25, 2021, and January 14, 2022. Weighted data from the NSCH survey are representative of the population of noninstitutionalized children aged 0 to 17 years in the US. For this study, race and ethnicity were reported as American Indian or Alaska Native, Asian or Pacific Islander, Hispanic, non-Hispanic Black, non-Hispanic White, or multiracial (≥2 races). Data analysis was performed on February 21, 2023. Exposures: The Andersen behavioral model of health services use was used to assess predisposing factors, enabling factors, and need factors. Main Outcomes and Measures: The main outcome was delayed or missed pediatric preventive care due to the COVID-19 pandemic. Bivariate and multivariable Poisson regression analyses were performed using multiple imputation with chained equations. Results: Of the 50 892 NSCH respondents, 48.9% were female and 51.1% were male; their mean (SD) age was 8.5 (5.3) years. With regard to race and ethnicity, 0.4% were American Indian or Alaska Native, 4.7% were Asian or Pacific Islander, 13.3% were Black, 25.8% were Hispanic, 50.1% were White, and 5.8% were multiracial. More than one-fourth of children (27.6%) delayed or missed preventive care. In multivariable Poisson regression using multiple imputation, Asian or Pacific Islander children (prevalence ratio [PR], 1.16 [95% CI, 1.02-1.32]), Hispanic children (PR, 1.19 [95% CI, 1.09-1.31]), and multiracial children (PR, 1.23 [95% CI, 1.11-1.37]) were more likely to have delayed or missed preventive care compared with non-Hispanic White children. Among non-Hispanic Black children, risk and protective factors included age 6 to 8 years (vs 0-2 years [PR, 1.90 (95% CI, 1.23-2.92)]) and difficulty covering basic needs somewhat or very often (vs never or rarely [PR, 1.68 (95% CI, 1.35-2.09)]). Among multiracial children, risk and protective factors included age 9 to 11 years (vs 0-2 years [PR, 1.73 (95% CI, 1.16-2.57)]), lower household income (<100% vs ≥400% federal poverty level: 0.52 [0.35-0.79]), and 2 or more vs 0 health conditions (PR, 1.54 [95% CI, 1.14-2.08]). Among non-Hispanic White children, risk and protective factors included older age (9-11 years vs 0-2 years [PR, 2.05 (95% CI, 1.78-2.37)]), 4 or more children vs 1 child in the household (PR, 1.22 [95% CI, 1.07-1.39]), fair or poor vs excellent or very good caregiver health (PR, 1.32 [95% CI, 1.18-1.47]), difficulty covering basic needs somewhat or very often (vs never or rarely [PR, 1.36 (95% CI, 1.22-1.52)]), good vs excellent or very good perceived child health (PR, 1.19 [95% CI, 1.06-1.34]), and 2 or more vs 0 health conditions (PR, 1.25 [95% CI, 1.12-1.38]). Conclusions and Relevance: In this study, the prevalence of and risk factors for delayed or missed pediatric preventive care varied by race and ethnicity. These findings may guide targeted interventions to enhance timely pediatric preventive care among different racial and ethnic groups.

The effects of long-term exposure to air pollution on incident mental disorders among patients with prediabetes and diabetes: Findings from a large prospective cohort.

BACKGROUND: The association between air pollution and mental disorders has been widely documented in the general population. However, the evidence among susceptible populations, such as individuals with prediabetes or diabetes, is still insufficient. METHODS: We analyzed data from 48,515 participants with prediabetes and 24,393 participants with diabetes from the UK Biobank. Annual pollution data were collected for fine particulate matter (PM2.5), inhalable particulate matter (PM10), nitrogen dioxide (NO2), and nitrogen dioxides (NOx) during 2006-2021. The exposure to air pollution and temperature for each participant were estimated by the bilinear interpolation approach and time-weighted method based on their geocoded home addresses and time spent at each address. We employed the generalized propensity score model based on the generalized estimating equation and the time-varying covariates Cox model to assess the effects of air pollution. RESULTS: We observed causal links between air pollutants and mental disorders among both prediabetic and diabetic participants, with stronger effects among those with diabetes than prediabetes. The hazard ratios were 1.18 (1.12, 1.24), 1.15 (1.10, 1.20), 1.18 (1.13, 1.23), and 1.15 (1.11, 1.19) in patients with prediabetes, and 1.21 (1.13, 1.29), 1.17 (1.11, 1.24), 1.19 (1.13, 1.25), and 1.17 (1.12, 1.23) in patients with diabetes per interquartile range elevation in PM2.5, PM10, NO2, and NOx. Furthermore, the effects were more pronounced among people who were older, alcohol drinkers, and living in urban areas. CONCLUSIONS: Our study indicates the potential causal links between long-term exposure to air pollution and incident mental disorders among those with prediabetes and diabetes. Reducing air pollution levels would significantly benefit this vulnerable population by reducing the incidence of mental disorders.

Is ambient air pollution associated with sarcopenia? Results from a nation-wide cross-sectional study.

BACKGROUND: sarcopenia is a disease that involves the degeneration of muscle strength, muscle mass and physical performance. It remains unknown whether air pollution exposure increases the risk of sarcopenia. METHODS: the baseline survey of the UK Biobank was used in this study. Sarcopenia was identified according to European Working Group on Sarcopenia in Older People 2 (EWGSOP2) and classified into non-sarcopenia and probable sarcopenia. Land use regressions were used to estimate concentrations of particulate matter (PM2.5), coarse particles (PMcoarse), PM10, PM2.5 absorbance, nitrogen dioxide (NO2) and nitrogen oxides (NOx). Logistic regression models were applied to estimate the associations between air pollution and sarcopenia and its components. RESULTS: out of 352,265 participants, 28,710 (8.2%) were identified with probable sarcopenia. In adjusted models, there were increased odds of probable sarcopenia for each interquartile range increase in PM2.5 (OR: 1.06; 95% CI: 1.04, 1.07), PM10 (OR: 1.15; 95% CI: 1.13, 1.17), PMcoarse (OR: 1.02; 95% CI:1.01, 1.03), PM2.5 absorbance (OR: 1.08; 95% CI: 1.07, 1.10), NO2 (OR: 1.12; 95% CI:1.10, 1.14) and NOx (OR: 1.06; 95% CI: 1.05, 1.08). CONCLUSIONS: this study suggests that exposure to ambient air pollution might be one risk factor of sarcopenia. Prospective studies are needed to further confirm our findings.

Outdoor light at night, overweight, and obesity in school-aged children and adolescents.

Previous studies have indicated that outdoor light at night (LAN) is associated with a higher prevalence of overweight or obesity in adults. However, the association of LAN levels with overweight or obesity in children is still unknown. This study utilized data from the Seven Northeastern Cities study, which included 47,990 school-aged children and adolescents (ages 6-18 years). Outdoor LAN levels were measured using satellite imaging data. Weight and height were used to calculate age-sex-specific body mass index (BMI) Z-scores based on the World Health Organization (WHO) growth standards. Overweight status and obesity were defined using the Chinese standard. Information regarding socioeconomic status, sleep-related characteristics, and obesogenic factors were obtained using a questionnaire. A generalized linear mixed model examined the associations of outdoor LAN levels (in quartiles) with the outcomes of interest. Compared to children in the lowest quartile of outdoor LAN levels, children exposed to higher outdoor LAN levels had larger BMI Z-scores and higher odds of being overweight (including obesity) or obese, with the largest estimates in the third quartile [BMI Z-score: ß = 0.26, 95% CI: 0.18-0.33; overweight (including obesity): OR = 1.40, 95% CI: 1.25-1.56; obesity: OR = 1.46, 95% CI: 1.29-1.65]. There was a significant sex difference (Pinteraction<0.001) in the association of outdoor LAN levels with BMI Z-scores, and the association was stronger in males. Results remained robust following multiple sensitivity analyses and the adjustment of sleep-related characteristics, obesogenic factors, and environmental exposures. Our findings suggest that higher outdoor LAN levels are associated with larger BMI Z-scores and greater odds of overweight (including obesity) and obesity in school-aged children and adolescents. Further, the association between outdoor LAN levels and BMI Z-scores is stronger in males. Future studies with exposure assessments that consider both outdoor and indoor LAN exposures are needed.

Smallness at Birth and Neonatal Death: Reexamining the Current Indicator Using Sibling Data.

OBJECTIVE: The similarity in size among siblings has implications for neonatal death, but research in this area is lacking in the United States. We examined the association between small-for-gestational age (SGA), defined as a birthweight <10th percentile for gestational age, and neonatal death, defined as death within the first 28 days of life, among second births who had an elder sibling with SGA ("repeaters") versus those whose elder sibling did not have SGA ("nonrepeaters"). STUDY DESIGN: We conducted a population-based retrospective cohort study including 179,436 women who had their first two nonanomalous singleton live births in Missouri (1989-2005). Logistic regression was used to evaluate the association between SGA and neonatal death among second births, stratified by whether the elder sibling was SGA. RESULTS: Out of 179,436 second births, 297 died in the neonatal period. There was a significant interaction between birthweight-for-gestational age of first and second births in relation to neonatal death (p = 0.001). Second births with SGA had increased odds of neonatal death by 2.15-fold if they were "repeaters," and 4.44-fold if they were "nonrepeaters," as compared with non-SGA second births. CONCLUSION: Our findings suggest that referencing sibling birthweight may be warranted when evaluating infant size in relation to neonatal death.

Pregnancy Outcomes after Preeclampsia: The Effects of Interpregnancy Weight Change.

OBJECTIVE: This study aimed to examine the effects of interpregnancy weight change on pregnancy outcomes, including recurrent preeclampsia, preterm birth, small-for-gestational age (SGA), large-for-gestational age (LGA), and cesarean delivery, among women with a history of preeclampsia. We also evaluated whether these associations were modified by prepregnancy body mass index (BMI) category in the first pregnancy (BMI < 25 vs. ≥25 kg/m2) and if associations were present among women who maintained a healthy BMI category in both pregnancies. STUDY DESIGN: We conducted a population-based retrospective cohort study including 15,108 women who delivered their first two nonanomalous singleton live births in Missouri (1989-2005) and experienced preeclampsia in the first pregnancy. We performed Poisson regression with robust error variance to estimate relative risks and 95% confidence intervals for outcomes of interest after controlling for potential confounders. RESULTS: Interpregnancy weight gain was associated with increased risk of recurrent preeclampsia, LGA, and cesarean delivery. These risks increased in a "dose-response" manner with increasing magnitude of interpregnancy weight gain and were generally more pronounced among women who were underweight or normal weight in the first pregnancy. Interpregnancy weight loss exceeding 1 BMI unit was associated with increased risk of SGA among underweight and normal weight women, while interpregnancy weight loss exceeding 2 BMI units was associated with reduced risk of recurrent preeclampsia among overweight and obese women. CONCLUSION: Even small changes in interpregnancy weight may significantly affect pregnancy outcomes among formerly preeclamptic women. Appropriate weight management between pregnancies has the potential to attenuate such risks. KEY POINTS: · Interpregnancy weight change among formerly preeclamptic women significantly affects pregnancy outcomes.. · Interpregnancy weight gain is associated with increased risk of recurrent preeclampsia, large-for-gestational-age and cesarean delivery.. · Interpregnancy weight loss is associated with increased risk of small-for-gestational age and recurrent preeclampsia..

The Difference in Sibling Birthweight and Neonatal Death: A Population-Based Cohort Study.

BACKGROUND: There has been a call for customized rather than population-based birthweight standards that would classify smallness based on an infant's own growth potential. Thus, this study aimed to examine the association between the difference in sibling birthweight and the likelihood of neonatal death among second births in a U.S. STUDY DESIGN: This was a population-based cohort study including 179,300 women who delivered their first two nonanomalous singleton live births in Missouri (1989-2005). We performed binary logistic regression to evaluate the association between being relatively smaller than the elder full- or half-sibling (i.e., smaller by at least 500 g) and neonatal death (i.e., deaths in the first 28 days of life) among second births after controlling for sociodemographic and pregnancy-related variables in the second pregnancy. RESULTS: The adjusted odds of neonatal death were 2.54-times higher among second births who were relatively smaller than their elder sibling. Among relatively small second births, every 100-g increase in the difference in sibling birthweight was associated with a 13% increase in the odds of neonatal death. CONCLUSION: The deviation from the elder sibling's birthweight predicts neonatal death. Taking into consideration the elder sibling's birthweight may be warranted in clinical and research settings.

Geographic variability in gestational weight gain: a multilevel population-based study of women having term births in Florida (2005-2012).

PURPOSE: We examined the extent of geographic variability in gestational weight gain (GWG), identified areas where women have suboptimal GWG, and evaluated whether individual- and area-level factors account for such variability. METHODS: We conducted a population-based cohort study including 1,385,574 women delivering term, singleton, and live births in Florida. We used a Bayesian, structured additive regression with a spatial function to analyze data from Florida's birth certificates (2005-2012) and ZIP code tabulation areas (ZCTAs; 2010 Census). RESULTS: The prevalence of insufficient (7.7%-42.9%) and excessive (17.1%-82.4%) GWG varied widely within Florida. Geographic variability was not explained by risk factors under study. Clusters in Orlando, Tampa, and Miami exhibited increased likelihood of insufficient GWG, whereas clusters in the Northwest of Florida exhibited increased likelihood of excessive GWG. CONCLUSIONS: We identified areas in Florida with high likelihood of suboptimal GWG that policy-makers should prioritize in the implementation of programs for optimizing GWG.

Gestational Weight Gain in the First Two Pregnancies and Perinatal Outcomes in the Second Pregnancy.

BACKGROUND: Gestational Weight Gain (GWG) below or above the Institute of Medicine (IOM) recommendations increases the risk of adverse pregnancy outcomes. However, it remains unknown whether the risk of adverse outcomes is affected by GWG in a previous pregnancy. We examined associations between GWG in the index (second) pregnancy and pregnancy outcomes, including preterm delivery and small for gestational age (SGA), while taking into consideration GWG in the first pregnancy. METHODS: In a population-based cohort study (n = 210 564), using the Missouri maternally-linked birth registry (1989-2005), we used multivariable Poisson regression with robust error variance stratified by prepregnancy body mass index (BMI) to evaluate associations between GWG in the index pregnancy and a composite indicator of GWG in the first and second pregnancies and our outcomes of interest, after controlling for sociodemographic and pregnancy-related confounders. RESULTS: Associations between GWG in the index pregnancy and pregnancy outcomes were moderated by GWG in the first pregnancy. Despite having GWG within recommendations in the index pregnancy, women had increased risk of preterm delivery and SGA if they had suboptimal GWG in their first pregnancy. Also, women having suboptimal GWG in the index pregnancy had increased risk of preterm delivery only if their GWG in the first pregnancy was also suboptimal. CONCLUSIONS: The observation that women who have GWG within recommendations in a current pregnancy may still have increased risk of adverse outcomes if they had suboptimal GWG in the first pregnancy has considerable clinical and public health implications.

Changes in Body Mass Index and the Trajectory of Depressive Symptoms Among Rural Men and Women.

PURPOSE: This study examined the association between body mass index (BMI) changes over time and the risk of elevated depressive symptoms in a cohort of Midwestern rural adults. METHODS: The longitudinal study used data from a telephone survey in 2005 including 1,475 men and women enrolled in the Walk the Ozarks to Wellness Project from 12 rural communities in Missouri, Arkansas, and Tennessee. Multilevel random intercept mixed models were used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI) for the association between BMI calculated from self-reported height and body weight and elevated depressive symptoms, adjusting for sociodemographic, behavioral, and medical variables. FINDINGS: Elevated depressive symptoms were common in this rural population (17%-19%) and the mean BMI was 28 kg/m2 . For each unit increase in BMI over time, representing an average increase of about 5.8 pounds from baseline weight, there was a 6% increased odds of elevated depressive symptoms (aOR: 1.06, 95% CI: 1.02-1.12). CONCLUSIONS: Our findings hold important public health implications given the increasing rates of overweight and obesity over the past couple of decades, particularly among rural adults.

Neighborhood Conditions and Psychosocial Outcomes Among Middle-Aged African Americans.

OBJECTIVE: We examined associations between observed neighborhood conditions (good/adverse) and psychosocial outcomes (stress, depressive symptoms, resilience, and sense of control) among middle-aged and older African Americans. METHODS: The sample included 455 middle-aged and older African Americans examined in Wave 10 of the African American Health (AAH) study. Linear regression was adjusted for attrition, self-selection into neighborhoods, and potential confounders, and stratified by the duration at current address (<5 vs ≥5 years) because of its hypothesized role as an effect modifier. RESULTS: Among individuals who lived at their current address for ≥5 years, residing in neighborhoods with adverse versus good conditions was associated with significantly less stress (standardized ß = -0.18; P = .002) and depressive symptoms (standardized ß = -0.12; P = .048). Among those who lived at their current address for <5 years, residing in neighborhoods with adverse versus good conditions was not significantly associated with stress (standardized ß = 0.18; P = .305) or depressive symptoms (standardized ß = 0.36; P = .080). CONCLUSION: Neighborhood conditions appear to have significant, complex associations with psychosocial factors among middle-aged and older African Americans. This holds important policy implications, especially since adverse neighborhood conditions may still result in adverse physical health outcomes in individuals with >5 years at current residence despite being associated with better psychosocial outcomes.

Age at First Birth and Psychiatric Disorders in Low-Income Pregnant Women.

BACKGROUND: Young maternal age at first birth has been associated with poor mental health. However, few studies directly compared the prevalence of psychiatric disorders among adolescent versus adult mothers at first birth using a comprehensive diagnostic tool. This study examined the association between age at first birth and 22 current and lifetime psychiatric disorders in a cohort of low-income pregnant women. METHODS: The sample consisted of 744 low-income currently pregnant women who were Medicaid-eligible and enrolled in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in Saint Louis City and 5 rural counties in Southeastern Missouri. Current (previous 12 months) and lifetime psychiatric disorders were assessed using the Diagnostic Interview Schedule IV (DIS-IV). Logistic regression analyses tested the association between women's age at first birth and psychiatric disorders, controlling for potential confounders, including relative poverty. RESULTS: When adjusting for confounders, mothers giving birth in their teens had 2.5 times the odds of having a lifetime behavior disorder (odds ratio [OR] 2.66, 95% confidence interval [CI] 1.35-5.24) and current posttraumatic stress disorder (PTSD) (OR 2.54, 95% CI 1.38-4.70) and almost twice the odds of having at least one anxiety disorder compared to older women at first birth (OR 1.78, 95% CI 1.10-2.85). CONCLUSION: Low-income women who have their first birth in adolescence have higher odds of psychiatric disorders and should be the target of psychiatric screening during their pregnancy. Mothers beginning childbearing before age 19 should be screened during pregnancy for anxiety disorders, including PTSD, and behavior disorders.

Racial/Ethnic Differences in the Correlates of Mental Health Services Use among Pregnant Women with Depressive Symptoms.

Objectives To examine correlates of lifetime mental health services (MHS) use among pregnant women reporting prenatal depressive symptoms by race/ethnicity. Methods This cross-sectional population-based study included 81,910 pregnant women with prenatal depressive symptoms using data from the Florida Healthy Start prenatal screening program (2008-2012). Multivariable logistic regression was conducted to ascertain adjusted odds ratios and corresponding 95 % confidence intervals for racial/ethnic differences in the correlates of lifetime MHS use. Results Findings of this study revealed racial/ethnic differences in MHS use among women with prenatal depressive symptoms, the highest rates being among non-Hispanic Whites and the lowest rates among Mexicans and other Hispanics. Most need for care factors, including illness, tobacco use, and physical or emotional abuse, consistently predicted MHS use across racial/ethnic groups after adjusting for covariates. Adjusted associations between predisposing and enabling/restricting factors and MHS use were different for different racial/ethnic groups. Conclusions Racial/ethnic differences in MHS use were found, with pregnant Hispanic women reporting prenatal depressive symptoms being the least likely to use MHS. Our study findings have significant public health implications for targeted intervention for pregnant women with prenatal depressive symptoms.