Faculty Bibliography

Using data from a large international sample (N = 385) of first-time expectant parents, the current analysis investigated whether parents demonstrated diurnal cortisol linkage in late pregnancy and whether self-reported psychological stress moderated this linkage. At approximately 36 weeks gestation, mothers and fathers collected saliva samples in their home at three times on two consecutive days and reported on their psychological stress. Results from multilevel models indicated that there was significant positive within-couple diurnal cortisol linkage on average for the whole sample. However, this linkage was moderated by maternal self-reported psychological stress. Specifically, for couples with higher maternal psychological stress, cortisol linkage was strong. Conversely, for couples with lower maternal psychological stress, maternal and paternal cortisol were unrelated. These findings suggest that among higher-maternal-stress couples, lower paternal cortisol may buffer maternal cortisol, whereas higher paternal cortisol may amplify maternal cortisol. Our results support the idea that interpersonal psychological and physiological stress in close relationships is interdependent and mutually influenced. Further, our findings contribute to the field's understanding of interpersonal processes during pregnancy, which may have health-related implications in the prenatal and postnatal periods for both parents and the developing child.

RATIONALE/BACKGROUND:Many studies have linked short-term exposure to ozone (O3) with morbidity and mortality, but epidemiological evidence of associations between long-term ozone exposure and mortality is more limited. OBJECTIVES/OBJECTIVE:We investigated associations of long-term (annual or warm season average) O3 exposure with all-cause and cause-specific mortality in the NIH-AARP Diet and Health Study, a large prospective cohort of U.S. adults with 17 years of follow-up from 1995 to 2011. METHODS:The cohort (N=548,780) was linked to census tract-level estimates for O3. Associations between long-term O3 exposure (averaged values from 2002-2010) and multiple causes of death were evaluated using multivariate Cox proportional hazards models, adjusted for both individual- and census tract-level covariates, as well as potentially confounding co-pollutants and temperature. MEASUREMENTS AND MAIN RESULTS/RESULTS:Long-term annual average exposure to O3 was significantly associated with deaths due to cardiovascular disease (per 10 ppb, HR=1.03; 95% CI: 1.01-1.06), ischemic heart disease (HR=1.06; 95% CI: 1.02-1.09), respiratory disease (HR=1.04; 95% CI: 1.00-1.09), and chronic obstructive pulmonary disease (HR=1.09; 95% CI: 1.03-1.15) in single-pollutant models. The results were robust to alternative models and adjustment for co-pollutants (fine particulate matter and nitrogen dioxide), although some evidence of confounding by temperature was observed. Significantly elevated respiratory disease mortality risk associated with long-term O3 exposure was found among those living in locations with high temperature (p-interaction<0.05). CONCLUSIONS:This study found that long-term exposure to O3 is associated with increased risk for multiple causes of mortality, suggesting that establishment of annual and/or seasonal federal O3 standard(s) are needed to more adequately protect public health from ambient O3 exposures.

BACKGROUND:Engagement in the HIV care continuum combined with office-based opioid treatment remains a cornerstone in addressing the intertwined epidemics of opioid use disorder (OUD) and HIV/AIDS. Factors influencing patient engagement with OUD and HIV care are complex and require further study. METHODS:In this qualitative study, in-depth interviews were conducted among 23 adult patients who use drugs (PWUD) in an inpatient detoxification program in New York City. The semi-structured interview guide elicited participant experiences with various phases of the HIV care continuum, including factors influencing access to HIV care, interactions with HIV and primary care providers, preferences around integrated care approaches for OUD and HIV, and barriers experienced beyond clinical settings which affected access to HIV care (e.g., insurance issues, transportation, cost, retrieving prescriptions from their pharmacy). Data collection and thematic analysis took place concurrently using an iterative process-based established qualitative research method. RESULTS:Respondents elicited high acceptability for integrated or co-located care for HIV and OUD in primary care. Factors influencing engagement in HIV care included (1) access to rapid point-of-care HIV testing and counseling services, (2) insurance coverage and costs related to HIV testing and receipt of antiretroviral therapy (ART), (3) primary care providers offering HIV care and buprenorphine, (4) illicit ART sales to pharmacies, (5) disruption in supplies of ART following admissions to inpatient detoxification or residential treatment programs, (6) in-person and telephone contact with peer support networks and clinic staff, (7) stigma, and (8) access to administrative support in primary care to facilitate reengagement with care following relapse, behavioral health services, transportation vouchers, and relocation from subsidized housing exposing patients to actively using peers. CONCLUSION/CONCLUSIONS:These findings suggest expanding clinical and administrative support in primary care for PWUDs with patient navigators, case managers, mobile health interventions, and peer support networks to promote linkage and retention in care.

BACKGROUND:"Drug checking" has become a common harm reduction method used to test illicit substances, such as ecstasy, for purity and/or the presence of adulterants. Formal drug-checking services have been operating for decades, and the use of personal reagent test kits appears to be relatively common; however, little attention has been devoted to understanding the role and broader experiences of 'drug-checkers' (i.e., people who test their own and/or other people's substances). As such, it remains unknown who is engaging in this practice, their motivations for drug-checking, and what barriers they may experience. We addressed this research gap by interviewing people who check drugs about their experiences, with a goal of better understanding drug checking practices. METHODS:We conducted in-depth interviews with 32 adults in North America who reported testing drugs. Coding was conducted in an inductive manner and thematic analysis was used to identify relevant themes. RESULTS:Over half (56.2%) of our sample was affiliated with a drug checking organization. Among non-affiliated checkers (43.8%), the majority (57.1%) tested for friends, 21.4% tested only for themselves, and 21.4% were people who sold drugs and tested for their clients. Motivations were driven largely by altruism, described by checkers as wanting to protect their peers from exposure to adulterants. People interviewed who sold drugs were altruistic in the same manner. Barriers to checking-particularly at nightclubs and festivals-included perceived illegality of test kits and denied approval to test drugs at venues, although many checkers circumvented this barrier by checking drugs without such approval. CONCLUSIONS:Drug checkers in North America seek to educate people who use drugs about the risk of exposure to unexpected substance types, but they face various barriers. Policy change could help ensure that these potentially life-saving services can be provided without fear of fines and/or criminal prosecution.

Residents of the Imperial Valley, a rural, agricultural border region in California, have raised concerns over high rates of pediatric asthma symptoms. There is an urgent need to understand the influences and predictors of children's respiratory health in Imperial Valley. We assessed the impacts of sociodemographic, lifestyle, and household factors on children's respiratory health and asthma prevalence by administering a survey to parents of elementary school children (n = 357) in northern Imperial Valley. We observed an overall asthma prevalence of 22.4% and respiratory symptoms and allergies were widely reported, including wheezing (35.3%), allergies (36.1%), bronchitic symptoms (28.6%), and dry cough (33.3%). Asthmatics were significantly more likely to report respiratory symptoms, but high rates of wheezing, allergies, and dry cough were observed among nonasthmatics, suggesting the possibility for underdiagnosis of respiratory impairment in our school-age population. Having an asthmatic mother and exposure to environmental tobacco smoke were also associated with greater odds of asthma. Our findings provide evidence to support community concerns about children's respiratory health, while also suggesting that household and demographic characteristics have limited explanatory power for assessing asthma in this population. This work provides critical baseline data with which to evaluate local environmental factors and their influence on asthma and respiratory symptoms.

KEY MESSAGES eHealth should support the transition towards personalized medicine, self-management and shared decisions in primary care. Several conditions need to be met to ensure that eHealth applications are safe, evidence-based and of high quality. Innovative but valid research methodology-e.g. adaptive (action research) designs-is a prerequisite for ongoing success and sustainability of eHealth. Primary care is challenged to provide high quality, accessible and affordable care for an increasingly ageing, complex, and multimorbid population. To counter these challenges, primary care professionals need to take up new and innovative practices, including eHealth. eHealth applications hold the promise to overcome some difficulties encountered in the care of people with complex medical and social needs in primary care. However, many unanswered questions regarding (cost) effectiveness, integration with healthcare, and acceptability to patients, caregivers, and professionals remain to be elucidated. What conditions need to be met? What challenges need to be overcome? What downsides must be dealt with? This first paper in a series on eHealth in primary care introduces basic concepts and examines opportunities for the uptake of eHealth in primary care. We illustrate that although the potential of eHealth in primary care is high, several conditions need to be met to ensure that safe and high-quality eHealth is developed for and implemented in primary care. eHealth research needs to be optimized; ensuring evidence-based eHealth is available. Blended care, i.e. combining face-to-face care with remote options, personalized to the individual patient should be considered. Stakeholders need to be involved in the development and implementation of eHealth via co-creation processes, and design should be mindful of vulnerable groups and eHealth illiteracy. Furthermore, a global perspective on eHealth should be adopted, and eHealth ethics, patients' safety and privacy considered.

BACKGROUND AND OBJECTIVES:The risk of hypertension attributable to living kidney donation remains unknown as does the effect of developing postdonation hypertension on subsequent eGFR. We sought to understand the association between living kidney donation, hypertension, and long-term eGFR by comparing donors with a cohort of healthy nondonors. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS:We compared 1295 living kidney donors with median 6 years of follow-up with a weighted cohort of 8233 healthy nondonors. We quantified the risk of self-reported hypertension using a parametric survival model. We examined the association of hypertension with yearly change in eGFR using multilevel linear regression and clustering by participant, with an interaction term for race. RESULTS:=0.01, respectively, after hypertension). CONCLUSIONS:Kidney donors are at higher risk of hypertension than similar healthy nondonors, regardless of race. Donors who developed hypertension had a plateau in the usual postdonation increase of eGFR.

Importance/UNASSIGNED:Many older survivors of acute myocardial infarction (AMI) experience functional decline, an outcome of primary importance to older adults. Mobility impairment has been proposed as a risk factor for functional decline but has not been evaluated to date in older patients hospitalized for AMI. Objective/UNASSIGNED:To examine the association of mobility impairment, measured during hospitalization, as a risk marker for functional decline among older patients with AMI. Design, Setting, and Participants/UNASSIGNED:Prospective cohort study among 94 academic and community hospitals in the United States. Participants were 2587 hospitalized patients with AMI who were 75 years or older. The study dates were January 2013 to June 2017. Main Outcomes and Measures/UNASSIGNED:Mobility was evaluated during AMI hospitalization using the Timed "Up and Go," with scores categorized as preserved mobility (≤15 seconds to complete), mild impairment (>15 to ≤25 seconds to complete), moderate impairment (>25 seconds to complete), and severe impairment (unable to complete). Self-reported function in activities of daily living (ADLs) (bathing, dressing, transferring, and walking around the home) and walking 0.4 km (one-quarter mile) was assessed at baseline and 6 months after discharge. The primary outcomes were worsening of 1 or more ADLs and loss of ability to walk 0.4 km from baseline to 6 months after discharge. The association between mobility impairment and risk of functional decline was evaluated with multivariable-adjusted logistic regression. Results/UNASSIGNED:Among 2587 hospitalized patients with AMI, the mean (SD) age was 81.4 (4.8) years, and 1462 (56.5%) were male. More than half of the cohort exhibited mobility impairment during AMI hospitalization (21.8% [564 of 2587] had mild impairment, 16.0% [414 of 2587] had moderate impairment, and 15.2% [391 of 2587] had severe impairment); 12.8% (332 of 2587) reported ADL decline, and 16.7% (431 of 2587) reported decline in 0.4-km mobility. Only 3.8% (30 of 800) of participants with preserved mobility experienced any ADL decline compared with 6.9% (39 of 564) of participants with mild impairment (adjusted odds ratio [aOR], 1.24; 95% CI, 0.74-2.09), 18.6% (77 of 414) of participants with moderate impairment (aOR, 2.67; 95% CI, 1.67-4.27), and 34.7% (136 of 391) of participants with severe impairment (aOR, 5.45; 95% CI, 3.29-9.01). Eleven percent (90 of 800) of participants with preserved mobility declined in ability to walk 0.4 km compared with 15.2% (85 of 558) of participants with mild impairment (aOR, 1.51; 95% CI, 1.04-2.20), 19.0% (78 of 411) of participants with moderate impairment (aOR, 2.03; 95% CI, 1.37-3.02), and 24.6% (95 of 386) of participants with severe impairment (aOR, 3.25; 95% CI, 2.02-5.23). Conclusions and Relevance/UNASSIGNED:This study's findings suggest that mobility impairment assessed during hospitalization may be a potent risk marker for functional decline in older survivors of AMI. These findings also suggest that brief, validated assessments of mobility should be part of the care of older hospitalized patients with AMI to identify those at risk for this important patient-centered outcome.

BACKGROUND:Policymakers need accurate data to develop efficient interventions to promote transport physical activity. Given the imprecise assessment of physical activity in trips, our aim was to illustrate novel advances in the measurement of walking in trips, including in trips incorporating non-walking modes. METHODS:We used data of 285 participants (RECORD MultiSensor Study, 2013-2015, Paris region) who carried GPS receivers and accelerometers over 7 days and underwent a phone-administered web mobility survey on the basis of algorithm-processed GPS data. With this mobility survey, we decomposed trips into unimodal trip stages with their start/end times, validated information on travel modes, and manually complemented and cleaned GPS tracks. This strategy enabled to quantify walking in trips with different modes with two alternative metrics: distance walked and accelerometry-derived number of steps taken. RESULTS:Compared with GPS-based mobility survey data, algorithm-only processed GPS data indicated that the median distance covered by participants per day was 25.3 km (rather than 23.4 km); correctly identified transport time vs. time at visited places in 72.7% of time; and correctly identified the transport mode in 67% of time (and only in 55% of time for public transport). The 285 participants provided data for 8983 trips (21,163 segments of observation). Participants spent a median of 7.0% of their total time in trips. The median distance walked per trip was 0.40 km for entirely walked trips and 0.85 km for public transport trips (the median number of accelerometer steps were 425 and 1352 in the corresponding trips). Overall, 33.8% of the total distance walked in trips and 37.3% of the accelerometer steps in trips were accumulated during public transport trips. Residents of the far suburbs cumulated a 1.7 times lower distance walked per day and a 1.6 times lower number of steps during trips per 8 h of wear time than residents of the Paris core city. CONCLUSIONS:Our approach complementing GPS and accelerometer tracking with a GPS-based mobility survey substantially improved transport mode detection. Our findings suggest that promoting public transport use should be one of the cornerstones of policies to promote physical activity.