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Maternal depression is a robust risk factor for children's internalizing symptoms; however, the intergenerational transmission of mood disorders is likely more complex than unidirectional parent-directed effects. Theoretical models support transactional associations between maternal and child symptomatology over time but have not been well examined, especially in younger high-risk samples. The present investigation examined predictive transactional relations between maternal depression and children's internalizing in toddlerhood and early childhood using a cross-lagged panel model. Participants were 162 low-income, largely racial/ethnic minority mothers and their offspring (32% African American, 16% White, 52% Other/Multiethnic; 53% female) who were assessed when children were 18 months and 4 years old. There were significant cross-sectional relations between maternal depressive and child internalizing symptoms when children were 18 months but not 4 years of age. Cross-lagged associations were evident such that maternal depression symptoms at 18 months were positively associated with internalizing symptoms among children at 4 years, adjusting for prior maternal symptom levels and the cross-sectional correlations between maternal–child symptoms at 18 months. Within the same model, children's internalizing symptoms at 18 months were also positively associated with maternal depressive symptoms at 4 years, adjusting for prior child symptom levels and cross-sectional correlations. This study is among the first to demonstrate that transactional relations between maternal and child mood symptoms occur as early as toddlerhood/early childhood. Findings highlight the potential utility of inclusive, family-focused interventions that support both parents and children in the treatment of early emotional problems. [ABSTRACT FROM AUTHOR]

The article presents the research have demonstrated that diabetes affects racial and ethnic minority and low-income adult populations in the U.S. disproportionately, with relatively intractable patterns seen in these populations' higher risk of diabetes and rates of diabetes complications. Topics include the health care shift toward greater emphasis on population health outcome, and the social determinants of health have risen as essential intervention targets to achieve health equity.

As evidence of the associations between social factors and health outcomes continues to mount, capturing and acting on social determinants of health (SDOH) in clinical settings has never been more relevant. Many professional medical organizations have endorsed screening for SDOH, and the U.S. Office of the National Coordinator for Health Information Technology has recommended increased capacity of health information technology to integrate and support use of SDOH data in clinical settings. As these efforts begin their translation to practice, a new subfield of health informatics is emerging, focused on the application of information technologies to capture and apply social data in conjunction with health data to advance individual and population health. Developing this dedicated subfield of informatics-which we term social informatics-is important to drive research that informs how to approach the unique data, interoperability, execution, and ethical challenges involved in integrating social and medical care. [ABSTRACT FROM AUTHOR]

The development of biological markers of aging has primarily focused on adult samples. Epigenetic clocks are a promising tool for measuring biological age that show impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several age-related phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. To address this gap, we aimed to develop a highly accurate, noninvasive, biological measure of age specific to pediatric samples using buccal epithelial cell DNAm. We gathered 1,721 genome-wide DNAm profiles from 11 different cohorts of typically developing individuals aged 0 to 20 y old. Elastic net penalized regression was used to select 94 CpG sites from a training dataset (n = 1,032), with performance assessed in a separate test dataset (n = 689). DNAm at these 94 CpG sites was highly predictive of age in the test cohort (median absolute error = 0.35 y). The Pediatric-Buccal-Epigenetic (PedBE) clock was characterized in additional cohorts, showcasing the accuracy in longitudinal data, the performance in nonbuccal tissues and adult age ranges, and the association with obstetric outcomes. The PedBE tool for measuring biological age in children might help in understanding the environmental and contextual factors that shape the DNA methylome during child development, and how it, in turn, might relate to child health and disease. [ABSTRACT FROM AUTHOR]

There is an association between stress and dementia. However, less is known about dementia among persons with varied stress responses and sex differences in these associations. We used this population-based cohort study to examine dementia among persons with a range of clinician-diagnosed stress disorders, as well as the interaction between stress disorders and sex in predicting dementia, in Denmark from 1995 to 2011. This study included Danes aged 40 years or older with a stress disorder diagnosis (n = 47,047) and a matched comparison cohort (n = 232,141) without a stress disorder diagnosis with data from 1995 through 2011. Diagnoses were culled from national registries. We used Cox proportional hazards regression to estimate associations between stress disorders and dementia. Risk of dementia was higher for persons with stress disorders than for persons without such diagnosis; adjusted hazard ratios ranged from 1.6 to 2.8. There was evidence of an interaction between sex and stress disorders in predicting dementia, with a higher rate of dementia among men with stress disorders except posttraumatic stress disorder, for which women had a higher rate. Results support existing evidence of an association between stress and dementia. This study contributes novel information regarding dementia risk across a range of stress responses, and interactions between stress disorders and sex. [ABSTRACT FROM AUTHOR]

Importance: The repercussions of abortion for mental health have been used to justify state policies that limit access to abortion in the United States. Much earlier research has relied on self-report of abortion or mental health conditions or on convenience samples. This study uses data that rely on neither.Objective: To examine whether first-trimester first abortion or first childbirth is associated with an increase in women's initiation of a first-time prescription for an antidepressant.Design, Setting, and Participants: This study linked data and identified a cohort of women from Danish population registries who were born in Denmark between January 1, 1980, and December 30, 1994. Overall, 396 397 women were included in this study; of these women, 30 834 had a first-trimester first abortion and 85 592 had a first childbirth.Main Outcomes and Measure: First-time antidepressant prescription redemptions were determined and used as indication of an episode of depression or anxiety, and incident rate ratios (IRRs) were calculated comparing women who had an abortion vs women who did not have an abortion and women who had a childbirth vs women who did not have a childbirth.Results: Of 396 397 women whose data were analyzed, 17 294 (4.4%) had a record of at least 1 first-trimester abortion and no children, 72 052 (18.2%) had at least 1 childbirth and no abortions, 13 540 (3.4%) had at least 1 abortion and 1 childbirth, and 293 511 (74.1%) had neither an abortion nor a childbirth. A total of 59 465 (15.0%) had a record of first antidepressant use. In the basic and fully adjusted models, relative to women who had not had an abortion, women who had a first abortion had a higher risk of first-time antidepressant use. However, the fully adjusted IRRs that compared women who had an abortion with women who did not have an abortion were not statistically different in the year before the abortion (IRR, 1.46; 95% CI, 1.38-1.54) and the year after the abortion (IRR, 1.54; 95% CI, 1.45-1.62) (P = .10) and decreased as time from the abortion increased (1-5 years: IRR, 1.24; 95% CI, 1.19-1.29; >5 years: IRR, 1.12; 95% CI, 1.05-1.18). The fully adjusted IRRs that compared women who gave birth with women who did not give birth were lower in the year before childbirth (IRR, 0.47; 95% CI, 0.43-0.50) compared with the year after childbirth (IRR, 0.93; 95% CI, 0.88-0.98) (P < .001) and increased as time from the childbirth increased (1-5 years: IRR, 1.52; 95% CI, 1.47-1.56; >5 years: IRR, 1.99; 95% CI, 1.91-2.09). Across all women in the sample, the strongest risk factors associated with antidepressant use in the fully adjusted model were having a previous psychiatric contact (IRR, 3.70; 95% CI, 3.62-3.78), having previously obtained an antianxiety medication (IRR, 3.03; 95% CI, 2.99-3.10), and having previously obtained antipsychotic medication (IRR, 1.88; 95% CI, 1.81-1.96).Conclusions and Relevance: Women who have abortions are more likely to use antidepressants compared with women who do not have abortions. However, additional aforementioned findings from this study support the conclusion that increased use of antidepressants is not attributable to having had an abortion but to differences in risk factors for depression. Thus, policies based on the notion that abortion harms women's mental health may be misinformed. [ABSTRACT FROM AUTHOR]

Abstract: Objective: We examined whether prenatal mindfulness training was associated with lower depressive symptoms through 18‐months postpartum compared to treatment as usual (TAU). Method: A controlled, quasi‐experimental trial compared prenatal mindfulness training (MMT) to TAU. We collected depressive symptom data at post‐intervention, 6‐, and 18‐months postpartum. Latent profile analysis identified depressive symptom profiles, and multinomial logistic regression examined whether treatment condition predicted profile. Results: Three depressive symptom severity profiles emerged: none/minimal, mild, and moderate. Adjusting for relevant covariates, MMT participants were less likely than TAU participants to be in the moderate profile than the none/minimal profile (OR = 0.13, 95% CI = 0.03‐0.54, p = .005). Conclusions: Prenatal mindfulness training may have benefits for depressive symptoms during the transition to parenthood. [ABSTRACT FROM AUTHOR]

Abstract: Children growing up in poverty are at heightened risk for poor health. Researchers have identified some mechanisms responsible for this association but we know less about how children are affected by growing up in communities, schools, and countries with varying levels of income inequality. In this article, we summarize what is known about the association between children's well‐being and income inequality, and outline three challenges that increasing levels of income inequality may pose to children from low‐income families. We also discuss implications for research and policy. [ABSTRACT FROM AUTHOR]

We examined the prospective associations of objective and subjective measures of stress during pregnancy with infant stress reactivity and regulation, an earlylife predictor of psychopathology. In a racially and ethnically diverse low-income sample of 151 mother-infant dyads, maternal reports of stressful life events (SLE) and perceived stress (PS) were collected serially over gestation and the early postpartum period. Infant reactivity and regulation at 6 months of age was assessed via maternal report of temperament (negativity, surgency, and regulation) and infant parasympathetic nervous system physiology (respiratory sinus arrhythmia [RSA]) during the Still Face Paradigm. Regression models predicting infant temperament showed higher maternal prenatal PS predicted lower surgency and self-regulation but not negativity. Regression models predicting infant physiology showed higher numbers of SLE during gestation predicted greater RSA reactivity and weaker recovery. Tests of interactions revealed SLE predicted RSA reactivity only at moderate to high levels of PS. Thus, findings suggest objective and subjective measures of maternal prenatal stress uniquely predict infant behavior and physiology, adjusting for key pre- and postnatal covariates, and advance the limited evidence for such prenatal programming within high-risk populations. Assessing multiple levels of maternal stress and offspring stress reactivity and regulation provides a richer picture of intergenerational transmission of adversity. [ABSTRACT FROM AUTHOR]

An editorial is presented which addresses the relationship between late maternal age at childbirth and the likelihood of living to age 90, and it mentions predictors of longevity for women in America. The risk of childhood-related death for older pregnant women is examined, along with the U.S. Women's Health Initiative, leukocyte telomeres, and additional factors such as educational attainment and higher income among women.

Chronic disease, mobility limitations and low physical functioning are determinants of an earlier age of retirement. Therefore, long-term population trends in these factors may have an impact on the proportion of individuals near traditional retirement age who continue to work. Our objective is to develop a projection model that accounts for trends in these factors in order to estimate the proportion of the population aged 55–74 with the capacity to participate in the labour force. We used logistic regression models to quantify how chronic disease, mobility and functional status predict labour force participation among individuals aged 55–59. Next, we obtained estimates of the population prevalence of each of these predictors for the years 2010–2050. We then used estimated coefficients from the logistic regression models to predict the age-specific probability of capacity for work up to the age of 74. We find that population capacity for work depends on trends in disability and on level of education. Future population capacity for work depends on trends in functional limitations primarily in the population with lower levels of education. Changes in functional limitations, changes in the environment, technology and social policy targeted towards individuals with lower levels of education could result in mitigation of future decreasing capacity for work in the population near retirement age. [ABSTRACT FROM PUBLISHER]

Objective: Among adults with diabetes, depression is associated with poorer adherence to cardiometabolic medications in ongoing users; however, it is unknown whether this extends to early adherence among patients newly prescribed these medications. This study examined whether depressive symptoms among adults with diabetes newly prescribed cardiometabolic medications are associated with early and long-term nonadherence. Patients and methods: An observational follow-up of 4,018 adults with type 2 diabetes who completed a survey in 2006 and were newly prescribed oral antihyperglycemic, antihypertensive, or lipid-lowering agents within the following year at Kaiser Permanente Northern California was conducted. Depressive symptoms were examined based on Patient Health Questionnaire-8 scores. Pharmacy utilization data were used to identify nonadherence by using validated methods: early nonadherence (medication never dispensed or dispensed once and never refilled) and long-term nonadherence (new prescription medication gap [NPMG]: percentage of time without medication supply). These analyses were conducted in 2016. Results: Patients with moderate-to-severe depressive symptoms had poorer adherence than nondepressed patients (8.3% more patients with early nonadherence, P=0.01; 4.9% patients with longer NPMG, P=0.002; 7.8% more patients with overall nonadherence [medication gap >20%], P=0.03). After adjustment for confounders, the models remained statistically significant for new NPMG (3.7% difference, P=0.02). There was a graded association between greater depression severity and nonadherence for all the models (test of trend, P<0.05). Conclusion: Depressive symptoms were associated with modest differences in early and long-term adherence to newly prescribed cardiometabolic medications in diabetes patients. Interventions targeting adherence among adults with diabetes and depression need to address both initiation and maintenance of medication use. [ABSTRACT FROM AUTHOR]

Background: Sleep is a predictor of infectious illness that may depend on one's socioeconomic status (SES).Purpose: This study aimed to investigate the moderating effects of objective and subjective SES on sleep-clinical cold risk link and test whether nasal inflammation serves as a plausible biological pathway.Methods: This study combined data (n = 732) from three viral challenge studies. Measures of self-reported sleep and objective and subjective measures of SES were obtained. Participants were quarantined and administrated rhinovirus (RV) or influenza virus and monitored over 5 (RV) or 6 (influenza) days for the development of a cold. Symptom severity, including mucus production and nasal clearance time, and levels of nasal cytokines (interleukin (IL)-6 and IL-1β) were measured prior to administration and each day during the quarantined period.Results: Subjective SES, but not objective SES, moderated associations between shorter sleep duration and increased likelihood of a clinical cold. Compared to ≥8-hour sleepers, ≤6-hour sleepers with low subjective SES were at increased risk for developing a cold (OR = 2.57, 95% CI 1.10-6.02). There was no association between sleep duration and colds in high subjective SES participants. Among infected individuals who reported low subjective SES, shorter sleep duration was associated with greater mucus production. There was no evidence that markers of nasal inflammation mediated the link between sleep duration and cold susceptibility among those reporting low subjective SES.Conclusion: Subjective SES may reflect an important social factor for understanding vulnerability to and protection against infectious illness among short sleepers. [ABSTRACT FROM AUTHOR]

Stress over the lifespan is thought to promote accelerated aging and early disease. Telomere length is amarker of cell aging that appears to be one mediator of this relationship. Telomere length is associated with early adversity and with chronic stressors in adulthood in many studies. Although cumulative lifespan adversity should have bigger impacts than single events, it is also possible that adversity in childhood has larger effects on later life health than adult stressors, as suggested by models of biological embedding in early life. No studies have examined the individual vs. cumulative effects of childhood and adulthood adversities on adult telomere length. Here, we examined the relationship between cumulative childhood and adulthood adversity, adding up a range of severe financial, traumatic, and social exposures, as well as comparing them to each other, in relation to salivary telomere length. We examined 4,598 men and women from the US Health and Retirement Study. Single adversities tended to have nonsignificant relations with telomere length. In adjusted models, lifetime cumulative adversity predicted 6% greater odds of shorter telomere length. This result was mainly due to childhood adversity. In adjusted models for cumulative childhood adversity, the occurrence of each additional childhood event predicted 11% increased odds of having short telomeres. This result appeared mainly because of social/traumatic exposures rather than financial exposures. This study suggests that the shadow of childhood adversity may reach far into later adulthood in part through cellular aging. [ABSTRACT FROM AUTHOR]

Adoption of electronic health records (EHRs) by clinical practices and hospitals in the US has increased substantially since 2009, and offers opportunities for population health researchers to access rich structured and unstructured clinical data on large, diverse, and geographically distributed populations. However, because EHRs are intended for clinical and administrative use, the data must be curated for effective use in research. We describe EHRs, examine their use in population health research, and compare the strengths and limitations of these applications to traditional epidemiologic methods. To date, EHR data have primarily been used to validate prior findings, to study specific diseases and population subgroups, to examine environmental and social factors and stigmatized conditions, to develop and implement predictive models, and to evaluate natural experiments. Although primary data collection may provide more reliable data and better population retention, EHR-based studies are less expensive and require less time to complete. In addition, large patient samples that can be readily identified from EHR data enable researchers to evaluate simultaneously multiple risk factors and/or outcomes while maintaining study power. In addition to current advantages, improved capture of social, behavioral, environmental, and genetic data, and use of natural language processing, clinical biobanks, and personal sensing via smartphone should further enable EHR researchers to understand complex diseases with multifactorial etiologies. Integrating emerging technologies with clinical care could lead to innovative approaches to precision public health, reduce health care spending on individuals, and directly improve population health. [ABSTRACT FROM AUTHOR]

Introduction Few studies have examined prenatal mood as a means to identify women at risk for negative childbirth experiences. We explore associations between prenatal mood and birth perceptions in a socioeconomically diverse, American sample. Methods We conducted a prospective study of 136 predominantly low-income and ethnic minority women of mixed parity. Prenatal measures of perceived stress, pregnancy-related anxiety, and depressive symptoms were used to predict maternal perceptions of birth experiences 1 month postpartum, using the childbirth experience questionnaire ( CEQ; 1). Results After adjusting for sociodemographic variables and mode of delivery, higher third-trimester stress predicted worse CEQ total scores. This association was predominantly explained by two CEQ domains: own capacity (e.g., feelings of control and capability), and perceived safety. Pregnancy-related anxiety and depressive symptoms correlated with perceived stress, though neither independently predicted birth experience. An unplanned cesarean delivery was associated with a worse CEQ total score. Vaginal delivery predicted greater perceived safety. Altogether, sociodemographic covariates, mode of delivery, and prenatal mood accounted for 35 percent of the variance in birth experience ( p < 0.001). Discussion Our finding that prenatal stress explains a significant and likely clinically meaningful proportion of the variance in birth experience suggests that women perceive and recall their birth experiences through a lens that is partially determined by preexisting personal circumstances and emotional reserves. Since childbirth perceptions have implications for maternal and child health, patient satisfaction, and health care expenditures, these findings warrant consideration of prenatal stress screening to target intervention for women at risk for negative birth experiences. [ABSTRACT FROM AUTHOR]

Study Question: Does the incidence of spontaneous abortion correlate positively over conception cohorts with the incidence of non-clinically indicated induced abortion as predicted by shared risk aversion?Summary Answer: We find that the number of spontaneous and non-clinically indicated induced abortions correlates in conception cohorts, suggesting that risk aversion affects both the conscious and non-conscious mechanisms that control parturition.What Is Known Already: Much literature speculates that natural selection conserved risk aversion because the trait enhanced Darwinian fitness. Risk aversion, moreover, supposedly influences all decisions including those that individuals can and cannot report making. We argue that these circumstances, if real, would manifest in conscious and non-conscious decisions to invest in prospective offspring, and therefore affect incidence of induced and spontaneous abortion over time.Study Design, Size, Duration: Using data from Denmark, we test the hypothesis that monthly conception cohorts yielding unexpectedly many non-clinically indicated induced abortions also yield unexpectedly many spontaneous abortions. The 180 month test period (January 1995 through December 2009), yielded 1 351 800 gestations including 156 780 spontaneous as well as 233 280 induced abortions 9100 of which were clinically indicated.Participants/materials, Setting, Methods: We use Box-Jenkins transfer functions to adjust the incidence of spontaneous and non-clinically indicated induced abortions for autocorrelation (including seasonality), cohort size, and fetal as well as gestational anomalies over the 180-month test period. We use cross-correlation to test our hypothesized association.Main Results and the Role Of Chance: We find a positive association between spontaneous and non-clinically indicated induced abortions. This suggests, consistent with our theory, that mothers of conception cohorts that yielded more spontaneous abortions than expected opted more frequently than expected for non-clinically indicated induced abortion.Limitations, Reasons For Caution: Limitations of our work include that even the world's best registration system will not capture all spontaneous abortions and that results may not generalize beyond Denmark.Wider Implications Of the Findings: Our findings imply that abortion, intentional or 'spontaneous,' follows from a woman's estimate, made consciously or otherwise, of the costs and benefits of extending gestation given characteristics of the prospective offspring, likely environmental circumstances at birth, and maternal resources.Study Funding/competing Interests: The Robert Wood Johnson Health and Society Scholars Program funded the research described in this manuscript. None of the authors has any conflict of interest to declare. [ABSTRACT FROM AUTHOR]

The purpose of this study was to explore communication barriers as independent predictors and potential mediators of variation in clinical recognition of diabetic peripheral neuropathy (DPN). In this cross-sectional analysis, we estimated the likelihood of having a DPN diagnosis among 4,436 patients with DPN symptoms. We controlled for symptom frequency, demographic and clinical characteristics, and visit frequency using a modified Poisson regression model. We then evaluated 4 communication barriers as independent predictors of clinical documentation and as possible mediators of racial/ethnic differences: difficulty speaking English, not talking to one’s doctor about pain, limited health literacy, and reports of suboptimal patient–provider communication. Difficulty speaking English and not talking with one’s doctor about pain were independently associated with not having a diagnosis, though limited health literacy and suboptimal patient–provider communication were not. Limited English proficiency partially attenuated, but did not fully explain, racial/ethnic differences in clinical documentation among Chinese, Latino, and Filipino patients. Providers should be encouraged to talk with their patients about DPN symptoms, and health systems should consider enhancing strategies to improve timely clinical recognition of DPN among patients who have difficult speaking English. More work is needed to understand persistent racial/ethnic differences in diagnosis. [ABSTRACT FROM PUBLISHER]

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. [ABSTRACT FROM AUTHOR]

Objective Body mass index (BMI) and intelligence quotient (IQ) are associated. We examined whether this association varied by birth cohort. Methods Among 37,414 Danish conscripts, the association between BMI and IQ overall and by birth cohort was examined. IQ was measured by the Børge Prien's Prøve (BPP) group intelligence test score. Results Compared with men of normal BMI, mean differences (95% CI [confidence interval]) in BPP score were −0.6 (−1.1;-0.1) for underweight men; −0.8 (−1.1;-0.5) for overweight men; and −2.0 (−2.4;-1.5) for men with obesity. Crude prevalence ratios (95% CI) for low cognitive scores associated with obesity were, respectively, 1.52 (1.24; 1.85), 1.64 (1.32; 2.04), 1.56 (1.38; 1.76), and 1.35 (1.18; 1.54) among men born in 1955, 1965-1969, 1970-1979, and 1980-1984. Confounding by familial BMI or IQ could not be controlled. Conclusions The association between BMI and IQ is subject to secular trends. [ABSTRACT FROM AUTHOR]

Objective: To assess the impact of a pharmacy benefit change on mail order pharmacy (MOP) uptake.Data Sources/study Setting: Race-stratified, random sample of diabetes patients in an integrated health care delivery system.Study Design: In this natural experiment, we studied the impact of a pharmacy benefit change that conditionally discounted medications if patients used MOP and prepaid two copayments. We compared MOP uptake among those exposed to the benefit change (n = 2,442) and the reference group with no benefit change (n = 8,148), and estimated differential MOP uptake across social strata using a difference-in-differences framework.Data Collection/extraction Methods: Ascertained MOP uptake (initiation among previous nonusers).Principal Findings: Thirty percent of patients started using MOP after receiving the benefit change versus 9 percent uptake among the reference group (p < .0001). After adjustment, there was a 26 percentage point greater MOP uptake (benefit change effect). This benefit change effect was significantly smaller among patients with inadequate health literacy (15 percent less), limited English proficiency (14 percent less), and among Latinos and Asians (24 and 16 percent less compared to Caucasians).Conclusions: Conditionally discounting medications delivered by MOP effectively stimulated MOP uptake overall, but it unintentionally widened previously existing social gaps in MOP use because it stimulated less MOP uptake in vulnerable populations. [ABSTRACT FROM AUTHOR]

Objective To assess the impact of a pharmacy benefit change on mail order pharmacy ( MOP) uptake. Data Sources/Study Setting Race-stratified, random sample of diabetes patients in an integrated health care delivery system. Study Design In this natural experiment, we studied the impact of a pharmacy benefit change that conditionally discounted medications if patients used MOP and prepaid two copayments. We compared MOP uptake among those exposed to the benefit change ( n = 2,442) and the reference group with no benefit change ( n = 8,148), and estimated differential MOP uptake across social strata using a difference-in-differences framework. Data Collection/Extraction Methods Ascertained MOP uptake (initiation among previous nonusers). Principal Findings Thirty percent of patients started using MOP after receiving the benefit change versus 9 percent uptake among the reference group ( p < .0001). After adjustment, there was a 26 percentage point greater MOP uptake (benefit change effect). This benefit change effect was significantly smaller among patients with inadequate health literacy (15 percent less), limited English proficiency (14 percent less), and among Latinos and Asians (24 and 16 percent less compared to Caucasians). Conclusions Conditionally discounting medications delivered by MOP effectively stimulated MOP uptake overall, but it unintentionally widened previously existing social gaps in MOP use because it stimulated less MOP uptake in vulnerable populations. [ABSTRACT FROM AUTHOR]

Objectives. We tested whether leukocyte telomere length maintenance, which underlies healthy cellular aging, provides a link between sugar-sweetened beverage (SSB) consumption and the risk of cardiometabolic disease. Methods. We examined cross-sectional associations between the consumption of SSBs, diet soda, and fruit juice and telomere length in a nationally representative sample of healthy adults. The study population included 5309 US adults, aged 20 to 65 years, with no history of diabetes or cardiovascular disease, from the 1999 to 2002 National Health and Nutrition Examination Surveys. Leukocyte telomere length was assayed from DNA specimens. Diet was assessed using 24-hour dietary recalls. Associations were examined using multivariate linear regression for the outcome of log-transformed telomere length. Results. After adjustment for sociodemographic and health-related characteristics, sugar-sweetened soda consumption was associated with shorter telomeres (b = –0.010; 95% confidence interval [CI] = –0.020, –0.001; P = .04). Consumption of 100% fruit juice was marginally associated with longer telomeres (b = 0.016; 95% CI = –0.000, 0.033; P = .05). No significant associations were observed between consumption of diet sodas or noncarbonated SSBs and telomere length. Conclusions. Regular consumption of sugar-sweetened sodas might influence metabolic disease development through accelerated cell aging. [ABSTRACT FROM AUTHOR]

This study investigates the dynamic interplay between teacher-child relationship quality and children's behaviors across kindergarten and first grade to predict academic competence in first grade. Using a sample of 338 ethnically diverse 5-year-old children, nested path analytic models were conducted to examine bidirectional pathways between children's behaviors and teacher-child relationship quality. Low self-regulation in kindergarten fall, as indexed by inattention and impulsive behaviors, predicted more conflict with teachers in kindergarten spring and this effect persisted into first grade. Conflict and low self-regulation jointly predicted decreases in school engagement which in turn predicted first-grade academic competence. Findings illustrate the importance of considering transactions between self-regulation, teacher-child relationship quality, and school engagement in predicting academic competence. [ABSTRACT FROM AUTHOR]

Background. Social risk factors for hypoglycemia are not well understood. Methods. Cross-sectional analysis from the DISTANCE study, a multi-language, ethnically-stratified random sample of adults in the Kaiser Permanente Northern California diabetes registry, conducted in 2005-2006 (response rate 62%). Exposures were income and educational attainment; outcome was patient report of severe hypoglycemia. To test the association, we used multivariable logistic regression to adjust for demographic and clinical factors. Results. 14,357 patients were included. Reports of severe hypoglycemia were common (11%), and higher in low-income vs. high-income (16% vs. 8.8) and low-education vs. high-education (11.9% vs. 8.9%) groups. In multivariable analysis, incomes of less than $15,000 (OR 1.51 95%CI 1.19-1.91), $15,000-$24,999 (OR 1.57 95%CI 1.27-1.94), and high school or less education (OR 1.42, 95% CI 1.24-1.63) were associated with increased hypoglycemia, similar to insulin use (OR 1.44 95%CI 1.19-1.74). Conclusions. Low income and educational attainment are important risk factors for hypoglycemia. [ABSTRACT FROM AUTHOR]

Background. Social risk factors for hypoglycemia are not well understood. Methods. Cross-sectional analysis from the DISTANCE study, a multi-language, ethnically-stratified random sample of adults in the Kaiser Permanente Northern California diabetes registry, conducted in 2005-2006 (response rate 62%). Exposures were income and educational attainment; outcome was patient report of severe hypoglycemia. To test the association, we used multivariable logistic regression to adjust for demographic and clinical factors. Results. 14,357 patients were included. Reports of severe hypoglycemia were common (11%), and higher in low-income vs. high-income (16% vs. 8.8) and low-education vs. high-education (11.9% vs. 8.9%) groups. In multivariable analysis, incomes of less than $15,000 (OR 1.51 95%CI 1.19-1.91), $15,000-$24,999 (OR 1.57 95%CI 1.27-1.94), and high school or less education (OR 1.42, 95% CI 1.24-1.63) were associated with increased hypoglycemia, similar to insulin use (OR 1.44 95%CI 1.19-1.74). Conclusions. Low income and educational attainment are important risk factors for hypoglycemia. [ABSTRACT FROM AUTHOR]

Objective: To compare associations between neighborhood deprivation and measures of BMI change among adults with type 2 diabetes.Research Design and Methods: Using data from the Kaiser Permanente Diabetes Study of Northern California (DISTANCE) survey, we estimated the association between neighborhood deprivation and two measures of BMI change over 3 years: 1) a continuous measure and 2) a categorical measure of clinically substantive BMI loss or gain (≥7% of baseline BMI) versus stable BMI. The sample included 13,609 adults.Results: On average, there was little change in BMI (-0.12, SD 3.07); 17.0 and 16.1% had clinically substantive BMI loss or gain, respectively, at follow-up. There was a positive association between neighborhood deprivation and BMI change for adults in the most versus least-deprived quartile of neighborhood deprivation (β = 0.22, P = 0.02) in adjusted models. In addition, relative to the least-deprived quartile (Q1), adults in more-deprived quartiles of neighborhood deprivation were more likely to experience either substantive BMI loss (Q2 relative risk ratio 1.19, 95% CI 1.00-1.41; Q3 1.20, 1.02-1.42; Q4 1.30, 1.08-1.55) or gain (Q2 1.25, 1.04-1.49; Q3 1.24, 1.04-1.49; Q4 1.45, 1.20-1.75).Conclusions: Greater neighborhood deprivation was positively associated with BMI change among adults with diabetes as well as with clinically substantive BMI loss or gain. Findings stress the importance of allowing for simultaneous associations with both gain and loss in future longitudinal studies of neighborhood deprivation and weight change, which may be particularly true for studies of patients with diabetes for whom both weight loss and gain have health implications. [ABSTRACT FROM AUTHOR]

OBJECTIVE -- To compare associations between neighborhood deprivation and measures of d BMI change among adults with type 2 diabetes. RESEARCH DESIGN AND METHODS -- Using data from the Kaiser Permanente Diabetes Study of Northern California (DISTANCE) survey, we estimated the association between neighborhood deprivation and two measures of BMI change over 3 years: 1) a continuous measure and 2 ) a categorical measure of clinically substantive BMI loss or gain (≥7% of baseline BMI) versus stable BMI. The sample included 13,609 adults. RESULTS -- On average, there was little change in BMI (20.12, SD 3.07); 17.0 and 16.1% had d clinically substantive BMI loss or gain, respectively, at follow-up. There was a positive association between neighborhood deprivation and BMI change for adults in the most versus least-deprived quartile of neighborhood deprivation (β= 0.22 , P = 0.02) in adjusted models. In addition, P relative to the least-deprived quartile (Q1), adults in more-deprived quartiles of neighborhood deprivation were more likely to experience either substantive BMI loss (Q2 relative risk ratio 1.19, 95%CI 1.00--1.41; Q3 1.20, 1.02--1.42; Q4 1.30, 1.08--1.55) or gain (Q2 1.25, 1.04--1.49; Q3 1.24, 1.04--1.49; Q4 1.45, 1.20--1.75). CONCLUSIONS -- Greater neighborhood deprivation was positively associated with BMI d change among adults with diabetes as well as with clinically substantive BMI loss or gain. Findings stress the importance of allowing for simultaneous associations with both gain and loss in future longitudinal studies of neighborhood deprivation and weight change, which may be particularly true for studies of patients with diabetes for whom both weight loss and gain have health implications. [ABSTRACT FROM AUTHOR]

Objective: We estimated the prevalence and incidence of diabetes among specific subgroups of Asians and Pacific Islanders (APIs) in a multiethnic U.S. population with uniform access to care.Research Design and Methods: This prospective cohort analysis included 2,123,548 adult members of Kaiser Permanente Northern California, including 1,704,363 with known race/ethnicity (white, 56.9%; Latino, 14.9%; African American, 8.0%; Filipino, 4.9%; Chinese, 4.0%; multiracial, 2.8%; Japanese, 0.9%; Native American, 0.6%; Pacific Islander, 0.5%; South Asian, 0.4%; and Southeast Asian, Korean, and Vietnamese, 0.1% each). We calculated age-standardized (to the 2010 U.S. population) and sex-adjusted diabetes prevalence at baseline and incidence (during the 2010 calendar year). Poisson models were used to estimate relative risks.Results: There were 210,632 subjects with prevalent diabetes as of 1 January 2010 and 15,357 incident cases of diabetes identified during 2010. The crude diabetes prevalence was 9.9% and the incidence was 8.0 cases per 1,000 person-years and, after standardizing by age and sex to the 2010 U.S. Census, 8.9% and 7.7 cases per 1,000 person-years. There was considerable variation among the seven largest API subgroups. Pacific Islanders, South Asians, and Filipinos had the highest prevalence (18.3, 15.9, and 16.1%, respectively) and the highest incidence (19.9, 17.2, and 14.7 cases per 1,000 person-years, respectively) of diabetes among all racial/ethnic groups, including minorities traditionally considered high risk (e.g., African Americans, Latinos, and Native Americans).Conclusions: High rates of diabetes among Pacific Islanders, South Asians, and Filipinos are obscured by much lower rates among the large population of Chinese and several smaller Asian subgroups. [ABSTRACT FROM AUTHOR]

OBJECTIVE -- We estimated the prevalence and incidence of diabetes among specific subgroups of Asians and Pacific Islanders (APIs) in a multiethnic U.S. population with uniform access to care. RESEARCH DESIGN AND METHODS -- This prospective cohort analysis included 2,123,548 adult members of Kaiser Permanente Northern California, including 1,704,363 with known race/ethnicity (white, 56.9%; Latino, 14.9%; African American, 8.0%; Filipino, 4.9%; Chinese, 4.0%; multiracial, 2.8%; Japanese, 0.9%; Native American, 0.6%; Pacific Islander, 0.5%; South Asian, 0.4%; and Southeast Asian, Korean, and Vietnamese, 0.1% each). We calculated age-standardized (to the 2010 U.S. population) and sex-adjusted diabetes prevalence at baseline and incidence (during the 2010 calendar year). Poisson models were used to estimate relative risks. RESULTS -- There were 210,632 subjects with prevalent diabetes as of 1 January 2010 and 15,357 incident cases of diabetes identified during 2010. The crude diabetes prevalence was 9.9% and the incidence was 8.0 cases per 1,000 person-years and, after standardizing by age and sex to the 2010 U.S. Census, 8.9% and 7.7 cases per 1,000 person-years. There was considerable variation among the seven largest API subgroups. Pacific Islanders, South Asians, and Filipinos had the highest prevalence (18.3, 15.9, and 16.1%, respectively) and the highest incidence (19.9, 17.2, and 14.7 cases per 1,000 person-years, respectively) of diabetes among all racial/ethnic groups, including minorities traditionally considered high risk (e.g., African Americans, Latinos, and Native Americans). CONCLUSIONS -- High rates of diabetes among Pacific Islanders, South Asians, and Filipinos are obscured by much lower rates among the large population of Chinese and several smaller Asian subgroups. [ABSTRACT FROM AUTHOR]