The Emory-Tibet Science Initiative (ETSI), a two-way exchange betweenWestern science and Tibetan Buddhism, is a partnership between Emory University, the Dalai Lama, and the Library of TibetanWorks and Archives in Dharamsala, India. ETSI is a comprehensive 6-year science curriculum being implemented at Tibetan Buddhist monasteries in India, representing the most significant change in 600 years for the Tibetan Buddhist monastic curriculum. This two-way exchange between science and Buddhism offers potential for mutual enrichment leading to new discoveries. Yet a cross-cultural challenge exists between science faculty and monastic students in teaching and learning science, as both traditions can hold quite different understandings of fundamental concepts, including sentience, awareness, attention, and perception. Using cultural consensus modeling, we estimate Tibetan Buddhist concepts of core cognitive science constructs and compare them with Western scientific definitions. Results can enhance cross-cultural science education by supporting faculty in understanding students’ cultural concepts, and vice versa.

Background

Maternal antenatal depression has long-term consequences for children's health. We examined if home visits by community health workers (CHW) can improve growth outcomes for children of mothers who are antenatally depressed.

Methods

A cluster randomized controlled trial of all pregnant, neighbourhood women in Cape Town, South Africa. Almost all pregnant women (98 %, N = 1238) were recruited and assessed during pregnancy, two weeks post-birth (92 %) and 6 months post-birth (88 %). Pregnant women were randomized to either: 1) Standard Care (SC), which provided routine antenatal care; or 2) an intervention, The Philani Intervention Program (PIP), which included SC and home visits by CHW trained as generalists (M = 11 visits). Child standardized weight, length, and weight by length over 6 months based on maternal antenatal depression and intervention condition.

Results

Depressed mood was similar across the PIP and SC conditions both antenatally (16.5 % rate) and at 6 months (16.7 %). The infants of depressed pregnant women in the PIP group were similar in height (height-for-age Z scores) to the children of non-depressed mothers in both the PIP and the SC conditions, but significantly taller at 6 months of age than the infants of pregnant depressed mothers in the SC condition. The intervention did not moderate children's growth. Depressed SC mothers tended to have infants less than two standard deviations in height on the World Health Organization's norms at two weeks post-birth compared to infants of depressed PIP mothers and non-depressed mothers in both conditions.

Conclusions

A generalist, CHW-delivered home visiting program improved infant growth, even when mothers' depression was not reduced. Focusing on maternal caretaking of infants, even when mothers are depressed, is critical in future interventions.

Trial registration

ClinicalTrials.gov registration # NCT00996528 . October 15, 2009.

Background

Multiple strategies can be used when self-monitoring diet, physical activity, and perceived stress, but no gold standards are available. Although self-monitoring is a core element of self-management and behavior change, the success of mHealth behavioral tools depends on their validity and reliability, which lack evidence. African American and Latina mothers in the United States are high-priority populations for apps that can be used for self-monitoring of diet, physical activity, and stress because the body mass index (BMI) of mothers typically increases for several years after childbirth and the risks of obesity and its' sequelae diseases are elevated among minority populations.

Objective

To examine the intermethod reliability and concurrent validity of smartphone-based self-monitoring via ecological momentary assessments (EMAs) and use of daily diaries for diet, stress, and physical activity compared with brief recall measures, anthropometric biomeasures, and bloodspot biomarkers.

Methods

A purposive sample (n=42) of primarily African American (16/42, 39%) and Latina (18/42, 44%) mothers was assigned Android smartphones for using Ohmage apps to self-monitor diet, perceived stress, and physical activity over 6 months. Participants were assessed at 3- and 6-month follow-ups. Recall measures included brief food frequency screeners, physical activity assessments adapted from the National Health and Nutrition Examination Survey, and the nine-item psychological stress measure. Anthropometric biomeasures included BMI, body fat, waist circumference, and blood pressure. Bloodspot assays for Epstein-Barr virus and C-reactive protein were used as systemic load and stress biomarkers. EMAs and daily diary questions assessed perceived quality and quantity of meals, perceived stress levels, and moderate, vigorous, and light physical activity. Units of analysis were follow-up assessments (n=29 to n=45 depending on the domain) of the participants (n=29 with sufficient data for analyses). Correlations, R² statistics, and multivariate linear regressions were used to assess the strength of associations between variables.

Results

Almost all participants (39/42, 93%) completed the study. Intermethod reliability between smartphone-based EMAs and diary reports and their corresponding recall reports was highest for stress and diet; correlations ranged from .27 to .52 (P<.05). However, it was unexpectedly low for physical activity; no significant associations were observed. Concurrent validity was demonstrated for diet EMAs and diary reports on systolic blood pressure (r=-.32), C-reactive protein level (r=-.34), and moderate and vigorous physical activity recalls (r=.35 to.48), suggesting a covariation between healthy diet and physical activity behaviors. EMAs and diary reports on stress were not associated with Epstein-Barr virus and C-reactive protein level. Diary reports on moderate and vigorous physical activity were negatively associated with BMI and body fat (r=-.35 to -.44, P<.05).

Conclusions

Brief smartphone-based EMA use may be valid and reliable for long-term self-monitoring of diet, stress, and physical activity. Lack of intermethod reliability for physical activity measures is consistent with prior research, warranting more research on the efficacy of smartphone-based self-monitoring of self-management and behavior change support.

Objectives

Telomeres are the protective caps of chromosomes. They shorten with cell replication, age, and possibly environmental stimuli (eg, infection and stress). Short telomere length (TL) predicts subsequent worse health. Although venous whole blood (VWB) is most commonly used for TL measurement, other, more minimally invasive, sampling techniques are becoming increasingly common due to their field-friendliness, allowing for feasible measurement in low-resource contexts. We conducted statistical validation work for measuring TL in dried blood spots (DBS) and incorporated our results into a meta-analysis evaluating minimally invasive sampling techniques to measure TL.

Methods

We isolated DNA extracts from DBS using a modified extraction protocol and tested how they endured different shipping conditions and long-term cryostorage. We then included our in-house DBS TL validation statistics (correlation values with VWB TL and age) in a series of meta-analyses of results from 24 other studies that published similar associations for values between TL measured in DBS, saliva, and buccal cells.

Results

Our modified DBS extraction technique produced DNA yields that were roughly twice as large as previously recorded. Partially extracted DBS DNA was stable for 7 days at room temperature, and still provided reliable TL measurements, as determined by external validation statistics. In our meta-analysis, DBS TL had the highest external validity, followed by saliva, and then buccal cells-possibly reflecting similarities/differences in cellular composition vs VWB.

Conclusions

DBS DNA is the best proxy for VWB from the three minimally-invasively specimen types evaluated and can be used to expand TL research to diverse settings and populations.

BACKGROUND

There are multiple strategies but no gold standards for self-monitoring diet, physical activity (PA), and perceived stress. Although self-monitoring is a core element of self-management and behavior change, the success of mHealth behavioral tools is dependent on validity and reliability, which is lacking in evidence. African-American and Latina mothers in the United States are high priority populations for applications addressing diet, PA, and stress because mothers typically increase body mass index (BMI) for several years after childbirth and the risks of obesity and its’ sequelae diseases are elevated among minority populations.

OBJECTIVE

This pilot study examined inter-method reliability and concurrent validity of smartphone-based self-monitoring by ecological momentary assessments (EMA) and daily-diaries for diet, stress, and PA compared to brief recall measures, anthropometric bio-measures and bloodspot biomarkers.

METHODS

A purposive sample (n=42) of primarily African-American (39%) and Latina (44%) mothers (about one-third normal weight, overweight, or obese) was assigned AndroidTM smartphones with the Ohmage application to self-monitor diet, perceived stress, and PA over six months. Participants were assessed at 3- and 6-month follow-ups. Recall measures included brief food frequency screeners, PA assessments adapted from NHANES, and the PSM-9 stress measure. Anthropometric bio-measures included BMI, body fat, waist circumference, and blood pressure (BP). Bloodspot assays for Ebstein-Barr Virus (EBV) and C-Reactive Protein (CRP) were used as biomarkers of systemic load and stress. EMA and daily diary questions assessed perceived quality and quantity of meals, perceived stress levels, and moderate, vigorous, and light PA. Units of analysis were follow-up assessments (n=29 to n=45 depending on domain) nested in participants (N=29 with sufficient data for analyses). Correlations, R2 statistics, and multivariate linear regressions assessed strength of associations between variables.

RESULTS

Almost all participants (93%) completed the study. Inter-method reliability between smartphone EMA/diary reports and their corresponding recall reports was highest for stress and diet, with correlations ranging from .27 to .52 (with p<.05), but was unexpectedly low for PA with no significant associations. Concurrent validity was demonstrated for diet EMA/diary reports with systolic BP (r = -.32), CRP (r = -.34), and moderate and vigorous PA recalls (r = .35 to .48), suggesting co-variation between healthy diet and PA behaviors. Stress EMA/diary reports were not associated with EBV and CRP biomarkers. Moderate and vigorous PA diary reports were negatively associated with BMI and body fat (r = -.35 to -.44, p<.05).

CONCLUSIONS

Brief smartphone EMA may be valid and reliable for long-term self-monitoring of diet, stress, and PA. Lack of inter-method reliability for PA measures is consistent with prior research. More research is needed on the efficacy of smartphone self-monitoring for self-management and behavior change support.

Background

South African mothers confront synergistic challenges from depression, alcohol use, and HIV/AIDS. The importance of maternal functioning for child development motivates interventions, yet long-term outcomes seldom are tracked. Furthermore, little is known about trajectories and the role of social-cultural factors in maternal depression and alcohol use across parenthood in low- and middle-income countries.

Methods

We examined maternal outcomes at 5- and 8-years' post-birth, from the Philani Intervention Program (PIP), a randomized controlled trial of a prenatally-initiated home visiting intervention lasting through 6 months' post-birth which yielded some benefits for children and mothers through 3 years. Longitudinal Bayesian mixed-effects models assessed intervention effects for maternal depression and alcohol use from pre-birth through 8 years post-birth. We plotted trajectories of depression and alcohol use and analyzed their relationship over time.

Results

Maternal benefits appeared limited and intervention outcomes differed at 5 and 8 years. Reduced depression in PIP versus standard care (SC) mothers at 3 years disappeared by 5 and 8 years. Depression prevalence declined from 35.1% prenatally to 5.5% at 8 years, independent of intervention or alcohol use. Alcohol use in both groups rebounded from a post-birth nadir; fewer PIP than SC mothers drank alcohol and reported problematic use at 5 but not 8 years. HIV+ prevalence did not differ by condition and increased from 26% to 45% over the reported period.

Conclusions

Dissipation of early child benefits from home visiting by age 8 years likely reflects lack of durable change in maternal behaviors compounded by social-cultural factors and cumulative effects of community deprivation. High prenatal rates warrant screening and treatment for depression in standard antenatal care. Low-and-middle income countries may need sustained interventions, including alcohol use reduction, to capitalize on initial gains from targeted interventions and address community social-cultural factors. HIV/AIDS continues to spread in this population.

Current approaches to longitudinal assessment of children's developmental and psychological well-being, as mandated in the United Nations Sustainable Development Goals, are expensive and time consuming. Substantive understanding of global progress toward these goals will require a suite of new robust, cost-effective research tools designed to assess key developmental processes in diverse settings. While first steps have been taken toward this end through efforts such as the National Institutes of Health's Toolbox, experience-near approaches including naturalistic observation have remained too costly and time consuming to scale to the population level. This perspective presents 4 emerging technologies with high potential for advancing the field of child health and development research, namely (1) affective computing, (2) ubiquitous computing, (3) eye tracking, and (4) machine learning. By drawing attention of scientists, policy makers, investors/funders, and the media to the applications and potential risks of these emerging opportunities, we hope to inspire a fresh wave of innovation and new solutions to the global challenges faced by children and their families.

Background

Interventions are needed to reduce poor perinatal health. We trained community health workers (CHWs) as home visitors to address maternal/infant risks.

Methods

In a cluster randomised controlled trial in Cape Town townships, neighbourhoods were randomised within matched pairs to 1) the control, healthcare at clinics (n = 12 neighbourhoods; n = 594 women), or 2) a home visiting intervention by CBW trained in cognitive-behavioural strategies to address health risks (by the Philani Maternal, Child Health and Nutrition Programme), in addition to clinic care (n = 12 neighbourhoods; n = 644 women). Participants were assessed during pregnancy (2% refusal) and 92% were reassessed at two weeks post-birth, 88% at six months and 84% at 18 months later. We analysed 32 measures of maternal/infant well-being over the 18 month follow-up period using longitudinal random effects regressions. A binomial test for correlated outcomes evaluated overall effectiveness over time. The 18 month post-birth assessment outcomes also were examined alone and as a function of the number of home visits received.

Results

Benefits were found on 7 of 32 measures of outcomes, resulting in significant overall benefits for the intervention compared to the control when using the binomial test (p = 0.008); nevertheless, no effects were observed when only the 18 month outcomes were analyzed. Benefits on individual outcomes were related to the number of home visits received. Among women living with HIV, intervention mothers were more likely to implement the PMTCT regimens, use condoms during all sexual episodes (OR = 1.25; p = 0.014), have infants with healthy weight-for-age measurements (OR = 1.42; p = 0.045), height-for-age measurements (OR = 1.13, p<0.001), breastfeed exclusively for six months (OR = 3.59; p<0.001), and breastfeed longer (OR = 3.08; p<0.001). Number of visits was positively associated with infant birth weight ≥2500 grams (OR = 1.07; p = 0.012), healthy head-circumference-for-age measurements at 6 months (OR = 1.09, p = 0.017), and improved cognitive development at 18 months (OR = 1.02, p = 0.048).

Conclusions

Home visits to neighbourhood mothers by CHWs may be a feasible strategy for enhancing maternal/child outcomes. However, visits likely must extend over several years for persistent benefits.

Trial registration

ClinicalTrials.gov NCT00996528.

Current approaches to longitudinal assessment of childrens developmental and psychological well-being, as mandated in the United Nations Sustainable Development Goals, are expensive and time consuming. Substantive understanding of global progress toward these goals will require a suite of new robust, cost-effective research tools designed to assess key developmental processes in diverse settings. While first steps have been taken toward this end through efforts such as the National Institutes of Healths Toolbox, experience-near approaches including naturalistic observation have remained too costly and time consuming to scale to the population level. This perspective presents 4 emerging technologies with high potential for advancing the field of child health and development research, namely (1) affective computing, (2) ubiquitous computing, (3) eye tracking, and (4) machine learning. By drawing attention of scientists, policy makers, investors/funders, and the media to the applications and potential risks of these emerging opportunities, we hope to inspire a fresh wave of innovation and new solutions to the global challenges faced by children and their families.

Age-related changes in cortical thickness have been observed during adolescence, including thinning in frontal and parietal cortices, and thickening in the lateral temporal lobes. Studies have shown sex differences in hormone-related brain maturation when boys and girls are age-matched, however, because girls mature 1-2 years earlier than boys, these sex differences could be confounded by pubertal maturation. To address puberty effects directly, this study assessed sex differences in testosterone-related cortical maturation by studying 85 boys and girls in a narrow age range and matched on sexual maturity. We expected that testosterone-by-sex interactions on cortical thickness would be observed in brain regions known from the animal literature to be high in androgen receptors. We found sex differences in associations between circulating testosterone and thickness in left inferior parietal lobule, middle temporal gyrus, calcarine sulcus, and right lingual gyrus, all regions known to be high in androgen receptors. Visual areas increased with testosterone in boys, but decreased in girls. All other regions were more impacted by testosterone levels in girls than boys. The regional pattern of sex-by-testosterone interactions may have implications for understanding sex differences in behavior and adolescent-onset neuropsychiatric disorders.