Melody Goodman
Melody Goodman
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Dean, School of Global Public Health
Professor of Biostatistics
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Professional overview
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Dr. Melody S. Goodman is a biostatistician and research methodologist. Her work is anchored upon moving beyond defining problems and focuses on developing solutions using partner-engaged research approaches. Dr. Goodman’s research efforts seek to develop a more rigorous understanding of the social risk factors contributing to urban health outcomes. Her work aims to develop solutions for improving health in high-risk populations. She conducts translational research that bridges the gap between research and practice. Through rigorous attention to study design, measurement, and the use of cutting-edge statistical analysis methods, her contributions have spanned the areas of prevention, treatment, intervention, and policy.
Dr. Goodman led the team that developed and comprehensively evaluated the Research Engagement Survey Tool, a quantitative survey measure to assess the level of partner engagement in research studies from the non-academic partner perspective. With numerous funders supporting her work (e.g., National Institutes of Health, Robert Wood Johnson Foundation, Verizon Foundation, Long Island Community Foundation, Patient-Centered Outcomes Research Institute, and Susan G. Komen), she has published over 150 peer-reviewed journal articles and two books (2018 Routledge/Taylor & Francis Group): 1) Public Health Research Methods for Partnerships and Practice and 2) Biostatistics for Clinical and Public Health Research, which now has a second edition (2026 Routledge/Taylor & Francis Group). She is a Fellow of the American Statistical Association, New York Academy of Medicine, and the inaugural recipient of the Societal Impact Award from the Caucus for Women in Statistics.
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Education
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BS, Economics and Applied Mathematics & Statistics, State University of New York at Stony Brook, Stony Brook, NYMS, Biostatistics, Harvard University, Cambridge, MAPhD, Biostatistics, Harvard University, Cambridge, MA
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Honors and awards
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Fellow, American Statistical Association (2021)Societal Impact Award, Caucus for Women in Statistics (2021)Network Builder Award, Robert Wood Johnson Foundation New Connections (2019)Siteman Cancer Center “Rock Doc” (2013)Satcher Health Leadership Institute - Morehouse School of Medicine, Community Health Leadership Institute Intensive Cohort II (2013)Women of the Year - Health, National Coalition of 100 Black Women, Inc. - Suffolk Chapter (2010)President’s Award for Teaching Excellence - Stony Brook University (2009)President’s Award for Excellence in Team Achievement - Stony Brook University (2008)
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Areas of research and study
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BiostatisticsCommunity HealthCommunity-based Participatory ResearchDissemination and Implementation of Evidence-based ProgramsQuantitative Research
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Publications
Publications
Examining infant and neonatal mortality by community health center concentration
AbstractBarnes, P. A., Goodman, M., Mathis, A., Shah, G. H., & Oka, M. (n.d.).Publication year
2013Journal title
European Journal of Scientific ResearchPage(s)
547Abstract~Family Health History Communication Networks of Older Adults : Importance of Social Relationships and Disease Perceptions
AbstractAshida, S., Kaphingst, K. A., Goodman, M., & Schafer, E. J. (n.d.).Publication year
2013Journal title
Health Education and BehaviorVolume
40Issue
5Page(s)
612-619AbstractOlder individuals play a critical role in disseminating family health history (FHH) information that can facilitate disease prevention among younger family members. This study evaluated the characteristics of older adults and their familial networks associated with two types of communication (have shared and intend to share new FHH information with family members) to inform public health efforts to facilitate FHH dissemination. Information on 970 social network members enumerated by 99 seniors (aged 57 years and older) at 3 senior centers in Memphis, Tennessee, through face-to-face interviews was analyzed. Participants shared FHH information with 27.5% of the network members; 54.7% of children and 24.4% of siblings. Two-level logistic regression models showed that participants had shared FHH with those to whom they provided emotional support (odds ratio [OR] = 1.836) and felt close to (OR = 1.757). Network-members were more likely to have received FHH from participants with a cancer diagnosis (OR = 2.617) and higher familiarity with (OR = 1.380) and importance of sharing FHH with family (OR = 1.474). Participants intended to share new FHH with those who provide tangible support to (OR = 1.804) and were very close to them (OR = 2.112). Members with whom participants intend to share new FHH were more likely to belong to the network of participants with higher perceived severity if family members encountered heart disease (OR = 1.329). Many first-degree relatives were not informed of FHH. Perceptions about FHH and disease risk as well as quality of social relationships may play roles in whether seniors communicate FHH with their families. Future studies may consider influencing these perceptions and relationships.Hidalgo and goodman respond
AbstractHidalgo, B., & Goodman, M. (n.d.).Publication year
2013Journal title
American journal of public healthVolume
103Issue
6Page(s)
e1-e2Abstract~Multivariate or multivariable regression?
AbstractHidalgo, B., & Goodman, M. (n.d.).Publication year
2013Journal title
American journal of public healthVolume
103Issue
1Page(s)
39-40Abstract~Spatial and Racial Patterning of Real Estate Broker Listings in New York City
AbstractKwate, N. O., Goodman, M., Jackson, J., & Harris, J. (n.d.).Publication year
2013Journal title
Review of Black Political EconomyVolume
40Issue
4Page(s)
401-424AbstractIt has been well documented that Black homeseekers face discrimination in the housing market in the form of racial steering and other institutional policies and practices that are critical in limiting housing access. Less is known about the mechanisms that operate on the other side of real estate transactions to perpetuate racially segregated neighborhoods. We investigated whether White and Black brokers face segregation in the housing market. That is, to what extent do White and Black brokers differentially market property listings in neighborhoods of varying racial composition? Using real estate listings extracted from the websites of two of the largest New York City real estate brokerages, we examined whether Black and White brokers market properties primarily in Black and White neighborhoods, respectively; and whether, controlling for gender and experience level, Black brokers had a lower average price per square foot than White brokers. Results showed that Black brokers overwhelmingly marketed properties in Black neighborhoods, with fewer listings in White areas. Black brokers also marketed properties with an average price per square foot that was $197 lower than White brokers. Black brokers who worked in offices in Black neighborhoods had the lowest asking price of all brokers. Taken together, Black and White real estate brokers control a bifurcated market in NYC, perpetuating residential segregation and Black-White income and wealth disparities.Using small-area analysis to estimate county-level racial disparities in obesity demonstrating the necessity of targeted interventions
AbstractD'Agostino-McGowan, L., Gennarelli, R. L., Lyons, S. A., & Goodman, M. (n.d.).Publication year
2013Journal title
International journal of environmental research and public healthVolume
11Issue
1Page(s)
418-428AbstractData on the national and state levels is often used to inform policy decisions and strategies designed to reduce racial disparities in obesity. Obesity-related health outcomes are realized on the individual level, and policies based on state and national-level data may be inappropriate due to the variations in health outcomes within and between states. To examine county-level variation of obesity within states, we use a small-area analysis technique to fill the void for county-level obesity data by race. Five years of Behavioral Risk Factor Surveillance System data are used to estimate the prevalence of obesity by county, both overall and race-stratified. A modified weighting system is used based on demographics at the county level using 2010 census data. We fit a multilevel reweighted regression model to obtain county-level prevalence estimates by race. We compare the distribution of prevalence estimates of non-Hispanic Blacks to non-Hispanic Whites. For 25 of the 26 states included in our analysis there is a statistically significant difference between within-state county-level average obesity prevalence rates for non-Hispanic Whites and non-Hispanic Blacks. This study provides information needed to target disparities interventions and resources to the local areas with greatest need; it also identifies the necessity of doing so.Factors affecting frequency of communication about family health history with family members and doctors in a medically underserved population
AbstractKaphingst, K. A., Goodman, M., Pandya, C., Garg, P., Stafford, J., & Lachance, C. (n.d.).Publication year
2012Journal title
Patient Education and CounselingVolume
88Issue
2Page(s)
291-297AbstractObjective: Family history contributes to risk for many common chronic diseases. Little research has investigated patient factors affecting communication of this information. Methods: 1061 adult community health center patients were surveyed. We examined factors related to frequency of discussions about family health history (FHH) with family members and doctors. Results: Patients who talked frequently with family members about FHH were more likely to report a family history of cancer (p=.012) and heart disease (pNonparametric diagnostic test for conditional logistic regression
AbstractGoodman, M., & Li, Y. (n.d.).Publication year
2012Journal title
Journal of Biometrics and BiostatisticsAbstract~Perceived familiarity with and importance of family health history among a medically underserved population
AbstractAshida, S., Goodman, M., Stafford, J., Lachance, C., & Kaphingst, K. A. (n.d.).Publication year
2012Journal title
Journal of Community GeneticsVolume
3Issue
4Page(s)
285-295AbstractInadequate knowledge of family health history (FHH) continues to be a major obstacle limiting its usefulness in public health and clinical practice; strategies to facilitate FHH dissemination are needed. Data (N0 1,334) were obtained through waiting-room surveys completed by a diverse sample of patients attending three community health centers. Perceptions about the importance of genetic information (β00.13, pQuantitative assessment of participant knowledge and evaluation of participant satisfaction in the CARES training program
AbstractGoodman, M., Si, X., Stafford, J. D., Obasohan, A., & Mchunguzi, C. (n.d.).Publication year
2012Journal title
Progress in Community Health Partnerships: Research, Education, and ActionVolume
6Issue
3Page(s)
361-368AbstractBackground: The purpose of the Community Alliance for Research Empowering Social change (CARES) training program was to (1) train community members on evidencebased public health, (2) increase their scientific literacy, and (3) develop the infrastructure for community-based participatory research (CBPR). Objectives: We assessed participant knowledge and evaluated participant satisfaction of the CARES training program to identify learning needs, obtain valuable feedback about the training, and ensure learning objectives were met through mutually beneficial CBPR approaches. Methods: A baseline assessment was administered before the first training session and a follow-up assessment and evaluation was administered after the final training session. At each training session a pretest was administered before the session and a posttest and evaluation were administered at the end of the session. After training session six, a midtraining evaluation was administered. We analyze results from quantitative questions on the assessments, pre- and post-tests, and evaluations. Results: CARES fellows knowledge increased at follow-up (75% of questions were answered correctly on average) compared with baseline (38% of questions were answered correctly on average) assessment; post-test scores were higher than pre-test scores in 9 out of 11 sessions. Fellows enjoyed the training and rated all sessions well on the evaluations. Conclusions: The CARES fellows training program was successful in participant satisfaction and increasing community knowledge of public health, CBPR, and research methodology. Engaging and training community members in evidence-based public health research can develop an infrastructure for community-academic research partnerships.Relationship between perceived racial composition and health literacy among community health center patients
AbstractKaphingst, K. A., Goodman, M., Pyke, O., Stafford, J. D., & Lachance, C. (n.d.).Publication year
2012Journal title
Health Education and BehaviorPage(s)
35Abstract~Relationship between self-reported racial composition of high school and health literacy among community health center patients
AbstractKaphingst, K. A., Goodman, M., Pyke, O., Stafford, J., & Lachance, C. (n.d.).Publication year
2012Journal title
Health Education and BehaviorVolume
39Issue
1Page(s)
35-44AbstractIntervention and policy approaches targeting the societal factors that affect health literacy (e.g., educational systems) could have promise to improve health outcomes, but little research has investigated these factors. This study examined the associations between self-reported racial composition of prior educational and neighborhood contexts and health literacy among 1,061 English-and Spanish-speaking adult community health center patients. The authors found that self-reported racial composition of high school was a significant predictor of health literacy among those who received schooling in the United States, controlling for race/ethnicity, education, age, country of birth, and survey language. Black and Hispanic patients had significantly lower health literacy than White patients within educational strata among those schooled in the United States. The findings revealed substantial disparities in health literacy. Self-reported racial composition of school context was a significant predictor of health literacy. Transdisciplinary, multilevel intervention approaches are likely to be needed to address the health literacy needs of this population.Self-reported segregation experience throughout the life course and its association with adequate health literacy
AbstractGoodman, M., Gaskin, D. J., Si, X., Stafford, J. D., Lachance, C., & Kaphingst, K. A. (n.d.).Publication year
2012Journal title
Health and PlaceVolume
18Issue
5Page(s)
1115-1121AbstractResidential segregation has been shown to be associated with health outcomes and health care utilization. We examined the association between racial composition of five physical environments throughout the life course and adequate health literacy among 836 community health center patients in Suffolk County, NY. Respondents who attended a mostly White junior high school or currently lived in a mostly White neighborhood were more likely to have adequate health literacy compared to those educated or living in predominantly minority or diverse environments. This association was independent of the respondent's race, ethnicity, age, education, and country of birth.Validation of self-reported measures in health disparities research
AbstractHidalgo, B., & Goodman, M. (n.d.).Publication year
2012Journal title
Journal of Biometrics and BiostatisticsAbstract~Weight perceptions and perceived risk for diabetes and heart disease among overweight and obese women, Suffolk County, New York, 2008
AbstractDarlow, S., Goodman, M., Stafford, J. D., Lachance, C. R., & Kaphingst, K. A. (n.d.).Publication year
2012Journal title
Preventing Chronic DiseaseVolume
9Issue
4AbstractIntroduction: Many Americans fail to accurately identify themselves as overweight and underestimate their risk for obesity-related diseases. The purpose of this study was to investigate associations between weight perceptions and perceived risk for diabetes and heart disease among overweight or obese women. Methods: We examined survey responses from 397 overweight or obese female health center patients on disease risk perceptions and weight perceptions. We derived odds ratios (ORs) and 95% confidence intervals (CIs) from multivariable logistic regression analyses to examine predictors of perceived risk for diabetes and heart disease. We further stratified results by health literacy. Results: Perceiving oneself as overweight (OR, 2.78; 95% CI, 1.16-6.66), believing that being overweight is a personal health problem (OR, 2.46; 95% CI, 1.26-4.80), and family history of diabetes (OR, 3.22; 95% CI, 1.53-6.78) were associated with greater perceived risk for diabetes. Perceiving oneself as overweight (OR, 4.33; 95% CI, 1.26-14.86) and family history of heart disease (OR, 2.25; 95% CI, 1.08-4.69) were associated with greater perceived risk for heart disease. Among respondents with higher health literacy, believing that being overweight was a personal health problem was associated with greater perceived risk for diabetes (OR, 4.91; 95% CI, 1.68-14.35). Among respondents with lower health literacy, perceiving oneself as overweight was associated with greater perceived risk for heart disease (OR, 4.69; 95% CI, 1.02-21.62). Conclusion: Our findings indicate an association between accurate weight perceptions and perceived risk for diabetes and heart disease in overweight or obese women. This study adds to research on disease risk perceptions in at-risk populations.Age differences in genetic knowledge, health literacy and causal beliefs for health conditions
AbstractAshida, S., Goodman, M., Pandya, C., Koehly, L. M., Lachance, C., Stafford, J., Kaphingst, K. A., & Goodman, M. (n.d.).Publication year
2011Journal title
Public Health GenomicsVolume
14Issue
4-5Page(s)
307-316AbstractObjectives: This study examined the levels of genetic knowledge, health literacy and beliefs about causation of health conditions among individuals in different age groups. Methods: Individuals (n = 971) recruited through 8 community health centers in Suffolk County, New York, completed a one-time survey. Results: Levels of genetic knowledge were lower among individuals in older age groups (26-35, p = 0.011; 36-49, p = 0.002; 50 years and older, pDetecting multiple change points in piecewise constant hazard functions
AbstractGoodman, M., Li, Y., & Tiwari, R. C. (n.d.).Publication year
2011Journal title
Journal of Applied StatisticsVolume
38Issue
11Page(s)
2523-2532AbstractThe National Cancer Institute (NCI) suggests a sudden reduction in prostate cancer mortality rates, likely due to highly successful treatments and screening methods for early diagnosis. We are interested in understanding the impact of medical breakthroughs, treatments, or interventions, on the survival experience for a population. For this purpose, estimating the underlying hazard function, with possible time change points, would be of substantial interest, as it will provide a general picture of the survival trend and when this trend is disrupted. Increasing attention has been given to testing the assumption of a constant failure rate against a failure rate that changes at a single point in time. We expand the set of alternatives to allow for the consideration of multiple change-points, and propose a model selection algorithm using sequential testing for the piecewise constant hazard model. These methods are data driven and allow us to estimate not only the number of change points in the hazard function but where those changes occur. Such an analysis allows for better understanding of how changing medical practice affects the survival experience for a patient population. We test for change points in prostate cancer mortality rates using the NCI Surveillance, Epidemiology, and End Results dataset.Survey study of anesthesiologists' and surgeons' ordering of unnecessary preoperative laboratory tests
AbstractKatz, R. I., Dexter, F., Rosenfeld, K., Wolfe, L., Redmond, V., Agarwal, D., Salik, I., Goldsteen, K., Goodman, M., & Glass, P. S. (n.d.).Publication year
2011Journal title
Anesthesia and AnalgesiaVolume
112Issue
1Page(s)
207-212AbstractBACKGROUND: Nearly 20 years ago it was shown that patients are exposed to unnecessary preoperative testing that is both costly and has associated morbidity. To determine whether such unnecessary testing persists, we performed internal and external surveys to quantify the incidence of unnecessary preoperative testing and to identify strategies for reduction. METHODS: The medical records of 1000 consecutive patients scheduled for surgery at our institution were examined for testing outside of our approved guidelines. Subsequently, 4 scenarios were constructed to solicit physician views of appropriate testing: a 45-year-old woman for a laparoscopic ovarian cystectomy, a 23-year-old woman for right inguinal herniorrhaphy, a 50-year-old man for a hemithyroidectomy, and a 50-year-old man for a total hip replacement. One or more of these scenarios were sent to directors of preoperative clinics (all), United States anesthesiologists (all), gynecologists (cystectomy), general surgeons (herniorrhaphy), otolaryngologists (thyroidectomy), and orthopedists (hip replacement). Potential predictors of ordering and demographic information were collected. RESULTS: More than half of our patients had at least 1 unnecessary test based on our testing guidelines (95% lower confidence limit = 52%). The 17 responding preoperative directors were unanimous for 36 of the 72 combinations of test or consult (henceforth "test") and scenario as being unnecessary. Among the 175 anesthesiologists responding to the survey, 46% ordered 1 or more of the tests unanimously considered unnecessary by the preoperative directors for the given scenario. Among 17 potential predictors of anesthesiologists' unnecessary ordering, only training completed before 1980 significantly increased the risk of ordering at least 1 unnecessary test (by 48%, 95% confidence limits >29%). Anesthesiologists were 53% less likely to order at least 1 unnecessary test relative to gynecologists for the cystectomy scenario, 64% less likely than general surgeons for the herniorrhaphy scenario, 66% less likely than otolaryngologists for the thyroidectomy scenario, and 67% less likely than orthopedists for the hip replacement scenario. The 95% lower confidence limits were all >40%. CONCLUSIONS: The percentage of patients with at least 1 unnecessary test is a suitable end point for monitoring providers' ordering. The incidence can be high despite efforts at improvement, but may be reduced if anesthesiologists rather than surgeons order presurgical tests and consults. However, anesthesia groups should be cognizant of potential heterogeneity among them based on time since training.Comparison of small-area analysis techniques for estimating prevalence by race
AbstractGoodman, M. (n.d.).Publication year
2010Journal title
Preventing Chronic DiseaseVolume
7Issue
2AbstractIntroduction: The Behavioral Risk Factor Surveillance System (BRFSS) is commonly used for estimating the prevalence of chronic disease. One limitation of the BRFSS is that valid estimates can only be obtained for states and larger geographic regions. Limited health data are available on the county level and, thus, many have used small-area analysis techniques to estimate the prevalence of disease on the county level using BRFSS data. Methods: This study compared the validity and precision of 4 small-area analysis techniques for estimating the prevalence of 3 chronic diseases (asthma, diabetes, and hypertension) by race on the county level. County-level reference estimates obtained through local data collection were compared with prevalence estimates produced by direct estimation, synthetic estimation, spatial data smoothing, and regression. Discrepancy statistics used were Pearson and Spearman correlation coefficients, mean square error, mean absolute difference, mean relative absolute difference, and rank statistics. Results: The regression method produced estimates of the prevalence of chronic disease by race on the county level that had the smallest discrepancies for a large number of counties. Conclusion: Regression is the preferable method when applying small-area analysis techniques to obtain county-level prevalence estimates of chronic disease by race using a single year of BRFSS data.Hepatitis B vaccination of male neonates and autism diagnosis, NHIS 1997-2002
AbstractGallagher, C. M., & Goodman, M. (n.d.).Publication year
2010Journal title
Journal of Toxicology and Environmental Health - Part A: Current IssuesVolume
73Issue
24Page(s)
1665-1677AbstractUniversal hepatitis B vaccination was recommended for U.S. newborns in 1991; however, safety findings are mixed. The association between hepatitis B vaccination of male neonates and parental report of autism diagnosis was determined. This cross-sectional study used weighted probability samples obtained from National Health Interview Survey 1997-2002 data sets. Vaccination status was determined from the vaccination record. Logistic regression was used to estimate the odds for autism diagnosis associated with neonatal hepatitis B vaccination among boys age 3-17 years, born before 1999, adjusted for race, maternal education, and two-parent household. Boys vaccinated as neonates had threefold greater odds for autism diagnosis compared to boys never vaccinated or vaccinated after the first month of life. Non-Hispanic white boys were 64% less likely to have autism diagnosis relative to nonwhite boys. Findings suggest that U.S. male neonates vaccinated with the hepatitis B vaccine prior to 1999 (from vaccination record) had a threefold higher risk for parental report of autism diagnosis compared to boys not vaccinated as neonates during that same time period. Nonwhite boys bore a greater risk.Increasing research literacy in minority communities : CARES fellows training program
AbstractGoodman, M., Dias, J. J., & Stafford, J. D. (n.d.).Publication year
2010Journal title
Journal of Empirical Research on Human Research EthicsVolume
5Issue
4Page(s)
33-41AbstractTHE COMMUNITY ALLIANCE FOR Research Empowering Social Change (CARES) is an academic-community research partnership designed to: (1) train community members about evidencebased public health, (2) increase community members' scientific literacy, and (3) develop the infrastructure for community-based participatory research so that local stakeholders can examine and address racial/ethnic health disparities in their communities. Nineteen community members enrolled in the CARES training. The training consisted of 11 didactic training sessions and 4 experiential workshops, taught by a multidisciplinary faculty from research institutions. Results suggest that the training increased research literacy, prepared community members for collaborative work with academic researchers, and empowered them to utilize scientific research methods to create social change in their communities.Does "off-hours" admission affect burn patient outcome?
AbstractTaira, B. R., Meng, H., Goodman, M., & Singer, A. J. (n.d.).Publication year
2009Journal title
BurnsVolume
35Issue
8Page(s)
1092-1096AbstractIntroduction: Previous critical care and cardiology studies find that critically ill patients have worse outcomes when admitted to the hospital during off-hours as compared to those admitted during weekdays. As severe burn is equally emergent we hypothesized that this disparity in outcomes would exist for burn patients as well. Study design: Secondary analysis of the National Trauma Data Bank (NTDB) version 7.1. The NTDB is a national registry of hospital admissions for traumatic injury administered by the American College of Surgeons. Setting: 700 trauma facilities nationwide contributing to the NTDB between 2002 and 2006. Subjects: All trauma patients included in the dataset with the injury mechanism of burn divided into "off-hours" admits (nights from 6 pm to 6 am and weekends) and weekday admits. Measures: Time and day of admission, demographics, ISS score, injury characteristics (±inhalational injury, TBSA, and full thickness injury), facility characteristics (number of burn beds, teaching status). Outcomes: Mortality as the primary outcome. Secondary outcomes include ICU length of stay (LOS), hospital length of stay. Data analysis: Descriptive statistics to summarize group characteristics, χ2 and Student's t tests for bivariate analysis, multivariable linear and logistic regressions. Results: Of the 25,572 burn patients, 17,625 (68.9%) arrived during off-hours. There was no difference in ICU length of stay (LOS) (p = 0.233), hospital LOS (p = 0.82), or mortality (p = 0.546) for those admitted during off-hours compared with weekday admits. In multivariate analysis when controlling for age, gender, burn characteristics (inhalation injury, full thickness injury, and TBSA >30%), and hospital type, off-hours admission was not predictive of mortality (OR = 1.06, 95% CI 0.91-1.23). Conclusions: Contrary to studies in other critically ill patient populations, off-hours admission is not predictive of worse outcomes in burn patients.Psychosocial stress and 13-year BMI change among blacks : The pitt county study
AbstractFowler-Brown, A. G., Bennett, G. G., Goodman, M., Wee, C. C., Corbie-Smith, G. M., & James, S. A. (n.d.).Publication year
2009Journal title
ObesityVolume
17Issue
11Page(s)
2106-2109AbstractAdverse psychosocial exposures may partially drive the high rates of obesity among blacks. The objective of this study was to prospectively examine the relationship between perceived psychosocial stress and percent change in BMI among adult black men and women. We used data from 756 women and 416 men who were participants in the Pitt County Study, a community-based, prospective cohort study of blacks in eastern North Carolina. Participants were aged 25-50 years of age on entry into the study in 1988 and follow-up was obtained in 2001. Using multivariable linear regression, we calculated the adjusted mean percentage change in BMI over the follow-up period for each tertile of baseline measures of the Perceived Stress Scale (low, medium, and high), adjusted for potential confounders. For black women, higher levels of psychosocial stress at baseline predicted higher adjusted percentage increase in BMI over the 13-year follow-up: low stress 12.0% (95% CI 9.6-14.4), medium stress 16.3% (95% CI 13.7-18.9), and high stress 15.5% (95% CI 13.1-17.8). For black men, perceived stress was not associated with percent BMI change. These data suggest that interventions targeting obesity in black women should consider the potential impact of emotional stress on weight change.Hepatitis B triple series vaccine and developmental disability in US children aged 1-9 years
AbstractGallagher, C., & Goodman, M. (n.d.).Publication year
2008Journal title
Toxicological and Environmental ChemistryVolume
90Issue
5Page(s)
997-1008AbstractThis study investigated the association between vaccination with the Hepatitis B triple series vaccine prior to 2000 and developmental disability in children aged 1-9 years (n = 1824), proxied by parental report that their child receives early intervention or special education services (EIS). National Health and Nutrition Examination Survey 1999-2000 data were analyzed and adjusted for survey design by Taylor Linearization using SAS version 9.1 software, with SAS callable SUDAAN version 9.0.1. The odds of receiving EIS were approximately nine times as great for vaccinated boys (n = 46) as for unvaccinated boys (n = 7), after adjustment for confounders. This study found statistically significant evidence to suggest that boys in United States who were vaccinated with the triple series Hepatitis B vaccine, during the time period in which vaccines were manufactured with thimerosal, were more susceptible to developmental disability than were unvaccinated boys.An evaluation of multiple behavioral risk factors for cancer in a working class, multi-ethnic population
AbstractGoodman, M., Li, Y., Bennett, G. G., Stoddard, A. M., & Emmons, K. (n.d.).Publication year
2006Journal title
Journal of Data ScienceVolume
4Page(s)
291Abstract~