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Context The “first 1,000 days”—conception through age 24 months—are critical for the development and prevention of childhood obesity. This study systematically reviews existing and ongoing interventions during this period, identifies gaps in current research, and discusses conceptual frameworks and opportunities for future interventions. Evidence acquisition PubMed, Embase, Web of Science, and Clinicaltrials.gov were searched to identify completed and ongoing interventions implemented during pregnancy through age 24 months that aimed to prevent overweight/obesity between age 6 months and 18 years. English-language, controlled interventions published between January 1, 1980, and December 12, 2014, were analyzed between December 13, 2014, and March 15, 2015. Evidence synthesis Of 34 completed studies from 26 unique identified interventions, nine were effective. Effective interventions focused on individual- or family-level behavior changes through home visits, individual counseling or group sessions in clinical settings, a combination of home and group visits in a community setting, and using hydrolyzed-protein formula. Protein-enriched formula increased childhood obesity risk. Forty-seven ongoing interventions were identified. Across completed and ongoing interventions, the majority target individual- or family-level changes, many are conducted in clinical settings, and few target early-life systems and policies that may impact childhood obesity. Conclusions Obesity interventions may have the greatest preventive effect if begun early in life. Yet, few effective interventions in the first 1,000 days exist and many target individual-level behaviors of parents and infants. Interventions that operate at systems levels and are grounded in salient conceptual frameworks hold promise for improving future models of early-life obesity prevention.

Objective This study sought to examine the relationship among the amount of stress, the perception that stress affects health, and health and mortality outcomes in a nationally-representative sample of U.S. adults. Methods Data from the 1998 National Health Interview Survey were linked to prospective National Death Index mortality data through 2006. Separate logistic regression models were used to examine the factors associated with current health status and psychological distress. Cox proportional hazard models were used to determine the impact of perceiving that stress affects health on all-cause mortality. Each model specifically examined the interaction between the amount of stress and the perception that stress affects health, controlling for sociodemographic, health behavior, and access to healthcare factors. Results 33.7% of nearly 186 million (n=28,753) U.S. adults perceived that stress affected their health a lot or to some extent. Both higher levels of reported stress and the perception that stress affects health were independently associated with an increased likelihood of worse health and mental health outcomes. The amount of stress and the perception that stress affects health interacted such that those who reported a lot of stress and that stress impacted their health a lot had a 43% increased risk of premature death (HR = 1.43, 95% CI [1.20, 1.71]). Conclusions High amounts of stress and the perception that stress impacts health are each associated with poor health and mental health. Individuals who perceived that stress affects their health and reported a large amount of stress had an increased risk of premature death.

Researchers increasingly track variations in health outcomes across counties in the United States, but current ranking methods do not reflect changes in health outcomes over time. We examined trends in male and female mortality rates from 1992-96 to 2002-06 in 3,140 US counties. We found that female mortality rates increased in 42.8 percent of counties, while male mortality rates increased in only 3.4 percent. Several factors, including higher education levels, not being in the South or West, and low smoking rates, were associated with lower mortality rates. Medical care variables, such as proportions of primary care providers, were not associated with lower rates. These findings suggest that improving health outcomes across the United States will require increased public and private investment in the social and environmental determinants of health-beyond an exclusive focus on access to care or individual health behavior. I ncreasing attention is being paid to the variation in health outcomes across the United States, most recently with the Robert Wood Johnson Foundation/ University of Wisconsin Population Health Institute's County Health Rankings project.1 Begun in 2010, the initiative measures the overall health of each county in the United States, including mortality rates and several morbidity measures such as rates of low birthweight and number of physically and mentally unhealthy days per month. Such ranking methods reveal a county's current health status, but they do not reflect change-for better or worseduring recent time periods.Rarely does an entire state demonstrate an absolute increase, or worsening, in mortality rates. Rather, some states' mortality rates simply decline, or improve, less rapidly than others' rates do. Measuring mortality at the county level reveals more granular changes in outcomes throughout a state's diverse populations.In In previous research, we examined health outcomes among low-and high-income US counties during 2002-06 and highlighted factors associated with their corresponding mortality rates. 5The present study extends this research to examine trends in age-adjusted mortality rates in US counties between 1992 and 2006 and to identify factors associated with improvement-that is, declines-in county mortality rates. This research is of particular importance because of the slow rates of reductions in geographic, racial, and socioeconomic health disparities, despite repeated calls for action. Study Data And MethodsData Our sample consisted of 3,140 counties or county equivalents-for example, administrative divisions of a state such as parishes or boroughs-in the United States. We compiled county-level data from four sources, including the County Health Rankings, 1 the Behavioral Risk Factor Surveillance Survey (1994-2000 survey panels), the Centers for Disease Control and Prevention's compressed mortality database, 6,7 and the 2000 US census.We examined the county-level percentage change in all-cause, age-adjusted mortality rate per 100,000 residents age seventy-five...

Objectives We sought to determine if and to what extent a woman’s exposure to stressful life events prior to conception (PSLEs) were associated with subsequent infant birth weight by using a nationally representative sample of US women. Methods We examined 9350 mothers and infants participating in the first wave of the Early Childhood Longitudinal Study-Birth Cohort in 2001. Weighted regressions estimated the effect of exposure on very low and low birth weight, adjusting for maternal sociodemographic and health factors and stress during pregnancy. Results Twenty percent of women experienced any PSLE. In adjusted analyses, exposed women were 38% more likely to have a very low birth weight infant than nonexposed women. Furthermore, the accumulation of PSLEs was associated with reduced infant birth weight. Conclusions This was the first nationally representative study to our knowledge to investigate the impact of PSLEs on very low and low birth weight in the United States. Interventions aimed to improve birth outcomes will need to shift the clinical practice paradigm upstream to the preconception period to reduce women’s exposure to stress over the life course and improve the long-term health of children.

Background: While there has been considerable attention given to the multitude of maternal factors that contribute to perinatal conditions and poor birth outcomes, few studies have aimed to understand the impact of fathers or partners. We examined associations of antenatal partner support with psychological variables, smoking behavior, and pregnancy outcomes in two socioeconomically distinct prebirth cohorts. Materials and Methods: Data were from 1764 women recruited from an urban-suburban group practice (Project Viva) and 877 women from urban community health centers (Project ACCESS), both in the Boston area. Antenatal partner support was assessed by the Turner Support Scale. Multivariable linear and logistic regression analyses determined the impact of low antenatal partner support on the outcomes of interest. Results: In early pregnancy, 6.4% of Viva and 23.0% of ACCESS participants reported low partner support. After adjustment, low partner support was cross-sectionally associated with high pregnancy-related anxiety in both cohorts (Viva AOR 1.8; 95% CI: 1.0-3.4 and ACCESS AOR 1.9; 95% CI: 1.1-3.3) and with depression in ACCESS (AOR 1.9; 95% CI: 1.1-3.3). In Viva, low partner support was also related to depression midpregnancy (AOR 3.1; 95% CI: 1.7-5.7) and to smoking (AOR 2.2; 95% CI: 1.3-3.8). Birth weight, gestational age, and fetal growth were not associated with partner support. Conclusions: This study of two economically and ethnically distinct cohorts in the Boston area highlights higher levels of antenatal anxiety, depression, and smoking among pregnant women who report low partner support. Partner support may be an important and potentially modifiable target for interventions to improve pregnancy outcomes.

Pregnancy complications and poor birth outcomes can affect the survival and long-term health of children. The preconception period represents an opportunity to intervene and improve outcomes; however little is known about women’s mental health prior to pregnancy as a predictor of such outcomes. We sought to determine if and to what extent women’s preconception mental health status impacted subsequent pregnancy complications, non-live birth, and birth weight using a nationally representative, population-based sample. We used pooled 1996-2006 data from the nationally-representative Medical Expenditure Panel Survey (MEPS). Poor preconception mental health was defined as women’s global mental health rating of “fair” or “poor” before conception. Logistic regression was used to assess the association between preconception mental health and pregnancy complications, non-live birth, and having a low birth weight baby within the follow up period. Poor preconception mental health was associated with increased odds of experiencing any pregnancy complication (AOR 1.40, 95% CI: 1.02-1.92), having a non-live birth (AOR 1.48, 95% CI: 0.96-2.27), and having a low birth weight baby (AOR 1.99, 95% CI: 1.00-3.98), all controlling for maternal age, race/ethnicity, marital status, education, health insurance status, income, and number of children in the household. Significant racial and ethnic disparities exist for pregnancy complications and non-live births, but not for low birth weight. Women’s preconception mental health is a modifiable risk factor that stands to reduce the incidence of adverse pregnancy complications and birth outcomes.

Objectives We determined whether and to what extent a woman’s exposure to stressful life events prior to conception (PSLEs) was associated with preterm birth and whether maternal age modified this relationship. Methods We examined 9350 mothers and infants participating in the first wave of the Early Childhood Longitudinal Study, Birth Cohort, a nationally representative sample of US women and children born in 2001, to investigate the impact of PSLEs on preterm birth in the United States. We estimated the effect of exposure on preterm birth with weighted logistic regression, adjusting for maternal sociodemographic and health factors and stress during pregnancy. Results Of the women examined, 10.9% had a preterm birth. In adjusted analyses, women aged 15 to 19 years who experienced any PSLE had over a 4-fold increased risk for having a preterm birth. This association differed on the basis of the timing of the PSLE. Conclusions Findings suggest that adolescence may be a sensitive period for the risk of preterm birth among adolescents exposed to PSLEs. Clinical, programmatic, and policy interventions should address upstream PSLEs, especially for adolescents, to reduce the prevalence of preterm birth and improve maternal and child health.