Nancy E. Adler

Objective: Maternal health and wellness during pregnancy are associated with long-term health outcomes in children. The current study examined whether infants of women who participated in a mindfulness-based intervention during pregnancy that reduced levels of stress and depression, increased physical activity, and improved glucose tolerance differed on biobehavioral markers of psychopathological and physical health risk compared with infants of women who did not. Methods: Participants were 135 mother-infant dyads drawn from a racially and ethnically diverse, low-income sample experiencing high stress. The women participated in an intervention trial during pregnancy that involved assignment to either mindfulness-based intervention or treatment-as-usual (TAU). Infants of women from both groups were assessed at 6 months of age on sympathetic (preejection period), parasympathetic (respiratory sinus arrhythmia), and observed behavioral (negativity and object engagement) reactivity and regulation during the still face paradigm. Linear mixed-effects and generalized linear mixed-effects models were used to examine treatment group differences in infant outcomes. Results: Relative to those in the intervention group, infants in the TAU group showed a delay in sympathetic activation and subsequent recovery across the still face paradigm. In addition, infants in the intervention group engaged in higher proportions of self-regulatory behavior during the paradigm, compared with the TAU group. No significant effect of intervention was found for parasympathetic response or for behavioral negativity during the still face paradigm. Conclusions: Findings provide evidence that maternal participation in a short-term, group mindfulness-based intervention during pregnancy is associated with the early development of salutary profiles of biobehavioral reactivity and regulation in their infants. Because these systems are relevant for psychopathology and physical health, prenatal behavioral interventions may benefit two generations.

Extensive empirical health research leverages variation in the timing and location of policy changes as quasi-experiments. Multiple social policies may be adopted simultaneously in the same locations, creating co-occurrence which must be addressed analytically for valid inferences. The pervasiveness and consequences of co-occurring policies have received limited attention. We analyzed a systematic sample of 13 social policy databases covering diverse domains including poverty, paid family leave, and tobacco. We quantified policy co-occurrence in each database as the fraction of variation in each policy measure across different jurisdictions and times that could be explained by co-variation with other policies (R ² ). We used simulations to estimate the ratio of the variance of effect estimates under the observed policy co-occurrence to variance if policies were independent. Policy co-occurrence ranged from very high for state-level cannabis policies to low for country-level sexual minority rights policies. For 65% of policies, greater than 90% of the place-time variation was explained by other policies. Policy co-occurrence increased the variance of effect estimates by a median of 57-fold. Co-occurring policies are common and pose a major methodological challenge to rigorously evaluating health effects of individual social policies. When uncontrolled, co-occurring policies confound one another, and when controlled, resulting positivity violations may substantially inflate the variance of estimated effects. Tools to enhance validity and precision for evaluating co-occurring policies are needed.

Pregnancy is a time of high risk for excessive weight gain, leading to health-related consequences for mothers and offspring. Theory-based obesity interventions that target proposed mechanisms of biobehavioral change are needed, in addition to simply providing nutritional and weight gain directives. Mindfulness training is hypothesized to reduce stress and non-homeostatic eating behaviors – or eating for reasons other than hunger or caloric need. We developed a mindfulness-based intervention for high-risk, low-income overweight pregnant women over a series of iterative waves using the Obesity-Related Behavioral Intervention Trials (ORBIT) model of intervention development, and tested its effects on stress and eating behaviors. Overweight pregnant women (n = 110) in their second trimester were enrolled in an 8-week group intervention. Feasibility, acceptability, and facilitator fidelity were assessed, as well as stress, depression and eating behaviors before and after the intervention. We also examined whether pre-to-post intervention changes in outcomes of well-being and eating behaviors were associated with changes in proposed mechanisms of mindfulness, acceptance, and emotion regulation. Participants attended a mean of 5.7 sessions (median = 7) out of 8 sessions total, and facilitator fidelity was very good. Of the women who completed class evaluations, at least half reported that each of the three class components (mindful breathing, mindful eating, and mindful movement) were “very useful,” and that they used them on most days at least once a day or more. Women improved in reported levels of mindfulness, acceptance, and emotion regulation, and these increases were correlated with reductions in stress, depression, and overeating. These findings suggest that in pregnant women at high risk for excessive weight gain, it is both feasible and effective to use mindfulness strategies taught in a group format. Further, increases in certain mindfulness skills may help with better management of stress and overeating during pregnancy. ClinicalTrials.gov NCT01307683 , March 8, 2011.

A positive association of socioeconomic position and health is well established in high-income countries. In poorer nations, however, higher income individuals often have more cardiovascular risk factors (including obesity) than do those with less income. Our study goal was to estimate the effects of receiving a living wage (340% higher income) on short-term changes in consumption and cardiovascular risk factors among low-wage workers in a middle-income country. This cross-sectional study matched workers at an apparel factory (n=105) in the Dominican Republic with those at a similar factory (n=99) nearby, 15 months after the intervention factory introduced a substantially higher living wage. Statistical matching on non-time varying individual characteristics (childhood health, childhood living conditions, work experience, demographic factors) strengthened causal inference. Primary outcomes were blood pressure (systolic and diastolic), pulse rate, body mass index and waist circumference. Secondary outcomes were dietary consumption and spending on services, consumables and durable goods. Receiving the living wage was associated with increased consumption of protein, dairy, soda and juice and sugars, but not with cardiovascular risk factors. Intervention factory workers spent more on grocery items and household durable goods. While having a higher income in a middle-income country might be expected to increase obesity and its associated health risks, the current study found no short-term negative associations. There may be possible longer-term negative health consequences of increases in consumption of soda, juice and sugars, however. It is important to consider complementary interventions to support healthy dietary intake in areas with increasing wages.

American Journal of Public Health (AJPH) from the American Public Health Association (APHA) Late Age at Childbirth: Survival Advantage or Artifact?, an article from American Journal of Public Health, Vol 107 Issue 9

In The Health Gap, Michael Marmot describes how, starting even before birth, social conditions set individuals on trajectories that eventuate in inequities in health and longevity. In addition to race and ethnicity, socioeconomic status linked to income and education plays a major role in determining health trajectories. The effects emerge not only at the very bottom of the socioeconomic spectrum, but across the whole range.¹

The use and functionality of electronic health records (EHRs) have increased rapidly in the past decade. Although the primary purpose of EHRs is clinical, researchers have used them to conduct epidemiologic investigations, ranging from cross-sectional studies within a given hospital to longitudinal studies on geographically distributed patients. Herein, we describe EHRs, examine their use in population health research, and compare them with traditional epidemiologic methods. We describe diverse research applications that benefit from the large sample sizes and generalizable patient populations afforded by EHRs. These have included reevaluation of prior findings, a range of diseases and subgroups, environmental and social epidemiology, stigmatized conditions, predictive modeling, and evaluation of natural experiments. Although studies using primary data collection methods may have more reliable data and better population retention, EHR-based studies are less expensive and require less time to complete. Future EHR epidemiology with enhanced collection of social/behavior measures, linkage with vital records, and integration of emerging technologies such as personal sensing could improve clinical care and population health.

Long-term psychological stress is associated with BMI increases in children as they transition to adulthood, whereas long-term maintenance of physical activity can slow excess weight gain. We hypothesized that in addition to these main effects, long-term physical activity mitigates the relationship between long-term stress and BMI increase. The NHLBI Growth and Health Study enrolled 2,379 10-year-old Black and White girls, following them annually for 10 measurement points. Growth curve modeling captured the dynamics of BMI, measured yearly, and stress and physical activity, measured at varying years. At average levels of activity and stress, with all covariates remaining fixed, average BMI at baseline was 19.74 (SE = 0.38) and increased 0.64 BMI (SE = 0.01, p < .001) units every year. However, this increase in BMI significantly varied as a function of cumulative stress and physical activity. Slower BMI gain occurred in those girls who were less stressed and more active (0.62 BMI units/year, SE = .02, p < .001), whereas the most rapid and largest growth occurred in girls who were more stressed and less active (0.92 BMI units/year, SE = .02, p < .001). Racial identification did not alter these effects. As hypothesized, in girls who maintained long-term activity, BMI growth was mitigated, even when reporting high long-term stress, compared with less physically active girls. This study adds to a converging literature in which physical activity, a modifiable prevention target, functions to potentially limit the damaging health effects of long-term psychological stress.

Last month, the Association of American Universities' Campus Climate Survey provided a disturbing picture of the extent of sexual assault on campuses in the United States. Almost a quarter of female graduates surveyed from 27 institutions indicated having experienced sexual assault during their undergraduate period. Distressingly, violence on campuses is part of a larger epidemic of sexual violence in the United States, making it a major women's issue. The widespread prevalence of exposure to violence and its immediate harm and long-term health consequences argue for greater efforts in both research and treatment.

Substantial inequities in disease risk and mortality by socioeconomic status (SES) and race challenge us to understand how health disparities emerge and can be eliminated. Building on a strong foundation of studies documenting disparities in a range of diseases and health problems, researchers are increasingly focusing on potentially modifiable mechanisms through which SES and race influence disease risk. One set of mechanisms involves risk factors for disease that occur more frequently in disadvantaged groups that, if reduced, could close the gap in morbidity and mortality. These include lack of access to health care, exposure to toxins and physical hazards, health-damaging behaviors, and adverse social environments (1). A second set of mechanisms involves protective factors that, if bolstered in disadvantaged groups, could do the same. These include social resources such as social support and social participation and psychological resources such as optimism, self-esteem, and perceived control (2). Whereas it is generally assumed that reducing risk factors and/or increasing protective factors will be beneficial in reducing disparities, Miller et al. (3) provide a more qualified assessment of one protective factor—self-regulation—and suggest that although greater self-regulation improves psychosocial outcomes, it may increase biological risk in more disadvantaged groups. Self-regulation covers a broad set of capabilities including the capacity to suppress inappropriate impulses, delay gratification of immediate needs in the service of achieving longer-term goals, and self-regulating one’s emotions and behaviors. Self-regulation, which develops over the course of childhood and young adulthood, enables deliberative, goal-oriented actions. It is linked to a wide range of favorable outcomes including school completion and better health behaviors in adolescence, wealth accumulation, avoidance of criminal activities, and better health in adulthood (4). The importance of self-regulation for cognitive and social development is understood, and interventions have been developed for children from kindergarten through high school that have been … [↵][1] 1Email: nancy.adler{at}ucsf.edu. [1]: #xref-corresp-1-1