Faculty Bibliography

We sought to determine impacts of a pediatric primary care intervention, the Video Interaction Project, on 3-year trajectories of parenting stress related to parent-child interactions in low socioeconomic status (SES) families. A randomized controlled trial (RCT) was conducted, with random assignment to one of two interventions (Video Interaction Project [VIP]; Building Blocks [BB]) or control (C). As part of VIP, dyads attended one-on-one sessions with an interventionist who facilitated interactions in play and shared reading through review of videotaped parent-child interactions made on primary care visit days; learning materials and parenting pamphlets were also provided to facilitate parent-child interactions at home. Parenting stress related to parent-child interactions was assessed for VIP and Control groups at 6, 14, 24, and 36 months using the Parent-Child Dysfunctional Interaction subscale of the Parenting Stress Index- Short Form, with 378 dyads (84%) assessed at least once. Group differences emerged at 6 months with VIP associated with lower parenting stress at 3 of 4 ages considered cross-sectionally and an 17.7% reduction in parenting stress overall during the study period based on multi-level modeling. No age by group interaction was observed, indicating persistence of early VIP impacts. Results indicated that VIP, a preventive intervention targeting parent-child interactions, is associated with decreased parenting stress. Results therefore support the expansion of pediatric interventions such as VIP as part of a broad public health strategy to address poverty-related disparities in school-readiness.

Married couples might be an appropriate target for obesity prevention interventions. In the present study, we aimed to evaluate whether an individual's risk of obesity is associated with spousal risk of obesity and whether an individual's change in body mass index (BMI; weight in kilograms divided by height in meters squared) is associated with spousal BMI change. We analyzed data from 3,889 spouse pairs in the Atherosclerosis Risk in Communities Study cohort who were sampled at ages 45-65 years from 1986 to 1989 and followed for up to 25 years. We estimated hazard ratios for incident obesity by whether spouses remained nonobese, became obese, remained obese, or became nonobese. We estimated the association of participants' BMI changes with concurrent spousal BMI changes using linear mixed models. Analyses were stratified by sex. At baseline, 22.6% of men and 24.7% of women were obese. Nonobese participants whose spouses became obese were more likely to become obese themselves (for men, hazard ratio = 1.78, 95% confidence interval: 1.30, 2.43; for women, hazard ratio = 1.89, 95% confidence interval: 1.39, 2.57). With each 1-unit increase in spousal BMI change, women's BMI change increased by 0.15 (95% confidence interval: 0.13, 0.18) and men's BMI change increased by 0.10 (95% confidence interval: 0.09, 0.12). Having a spouse become obese nearly doubles one's risk of becoming obese. Future research should consider exploring the efficacy of obesity prevention interventions in couples.

The association between socioeconomic status (SES) and subclinical cardiovascular disease is not well understood. Using data from the Atherosclerosis Risk in Communities Study, we sought to evaluate the cross-sectional and prospective associations of SES, measured by annual income and educational level, with elevated high-sensitivity cardiac troponin T (hs-cTnT) concentrations (≥14 ng/L) using Poisson and multinomial logistic regressions, respectively. We used Cox proportional hazard models to compare the risks of coronary heart disease, heart failure, and mortality according to SES, stratified by baseline hs-cTnT concentration. Our study baseline was 1990-1992, with follow-up through 2011. We found an independent association between SES and hs-cTnT. When comparing participants in the lowest educational level group to those in the highest, the adjusted prevalence ratios for elevated hs-cTnT were 1.36 (95% confidence interval: 1.05, 1.75) overall, 1.83 (95% confidence interval: 1.23, 2.71) in blacks, and 1.05 (95% confidence interval: 0.73, 1.52) in whites (P for interaction = 0.08). Among participants with nonelevated hs-cTnT concentrations, when comparing those in the lowest income groups to those in the highest, the adjusted hazard ratios were strongest for heart failure and death. Having elevated baseline hs-cTnT doubled the risk of heart failure and death. Persons with low SES and elevated hs-cTnT concentrations have the greatest risk of cardiovascular events, which suggests that this group should be aggressively targeted for cardiovascular risk reduction.

Estimates of the numbers and rates of acute decompensated heart failure (ADHF) hospitalization are central to understanding health-care utilization and efforts to improve patient care. We comprehensively estimated the frequency, rate, and trends of ADHF hospitalization in the United States. Based on Atherosclerosis Risk in Communities (ARIC) Study surveillance adjudicating 12,450 eligible hospitalizations during 2005-2010, we developed prediction models for ADHF separately for 3 International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code 428 discharge diagnosis groups: 428 primary, 428 nonprimary, or 428 absent. We applied the models to data from the National Inpatient Sample (11.5 million hospitalizations of persons aged ≥55 years with eligible ICD-9-CM codes), an all-payer, 20% probability sample of US community hospitals. The average estimated number of ADHF hospitalizations per year was 1.76 million (428 primary, 0.80 million; 428 nonprimary, 0.83 million; 428 absent, 0.13 million). During 1998-2004, the rate of ADHF hospitalization increased by 2.0%/year (95% confidence interval (CI): 1.8, 2.5) versus a 1.4%/year (95% CI: 0.8, 2.1) increase in code 428 primary hospitalizations (P < 0.001). In contrast, during 2005-2011, numbers of ADHF hospitalizations were stable (-0.5%/year; 95% CI: -1.4, 0.3), while the numbers of 428-primary hospitalizations decreased by -1.5%/year (95% CI: -2.2, -0.8) (P for contrast = 0.03). In conclusion, the estimated number of hospitalizations with ADHF is approximately 2 times higher than the number of hospitalizations with ICD-9-CM code 428 in the primary position. The trend increased more steeply prior to 2005 and was relatively flat after 2005.

The Johns Hopkins Bloomberg School of Public Health has been engaged in public health research and practice in Washington County, Maryland, nearly since its inception a century ago. In 2005, the center housing this work was renamed the George W. Comstock Center for Public Health Research and Prevention to honor its pioneering leader. Principles that guided innovation and translation well in the past included: research synergies and opportunities for translation realized through longstanding connection with the community; integration of training with public health research; lifelong learning, mentorship, and teamwork; and efficiency through economies of scale. These principles are useful to consider as we face the challenges of improving the health of the population over the next 100 years.

Low physical activity levels are a public health concern. Few studies have assessed the concordance of physical activity change among spouses. We studied this concordance during a 6-year period (baseline: 1987-1989; follow-up: 1993-1995) in 3,261 spousal pairs from the US-based Atherosclerosis Risk in Communities (ARIC) Study. Linear regression was used to examine the association between change in individuals' sport/exercise and leisure physical activity indices (ranging from 1 (low) to 5 (high)) and change in his or her spouse's indices. The association between individual and spousal changes in meeting physical activity recommendations was assessed with logistic regression. Individual changes in the sport/exercise and leisure indices were positively associated with spousal changes. For every standard deviation increase in their wives' sport/exercise index, men's exercise index increased by 0.09 (95% confidence interval: 0.05, 0.12) standard deviation; for every standard deviation increase in their wives' leisure index, men's leisure index increased by 0.08 standard deviation. Results were similar for women. Individuals had higher odds of meeting physical activity recommendations if their spouse met recommendations at both visits or just follow-up. In conclusion, changes in an individual's physical activity are positively associated with changes in his or her spouse's physical activity. Physical activity promotion efforts should consider targeting couples.

BACKGROUND: Little is known about electronic cigarette (e-cigarette) use among Chinese adolescents. We examined the prevalence of current (past 30-day) e-cigarette use and its associated factors in a large sample of adolescents in Hong Kong. METHODS: We analyzed data of the School-based Survey on Smoking among Students 2012/13 from a representative sample of 45,857 secondary school students (mean age: 14.8 +/- 1.9). We conducted chi-square tests and t-test to compare current e-cigarette use by covariates. We used multivariable logistic regression to examine the association between current e-cigarette use and demographic variables, parental smoking, peer smoking, knowledge about the harm of cigarette smoking, attitudes toward cigarette smoking, cigarette smoking status, use of other tobacco products, and alcohol consumption. RESULTS: Overall, 1.1% of students reported current e-cigarette use. Of e-cigarette users, 11.7% were never-cigarette smokers, 15.8% were experimental cigarette smokers, 39.3% were former cigarette smokers, and 33.2% were current cigarette smokers. Current e-cigarette use was associated with male sex, poor knowledge about the harm of smoking, cigarette smoking, use of other tobacco products, and alcohol consumption. CONCLUSIONS: Surveillance and intervention efforts should address a wide range of tobacco products, including e-cigarettes. Tobacco cessation programs should also address alcohol use collectively. Policies prohibiting e-cigarette sales to minors may help prevent e-cigarette uptake among adolescents.