Kleinman, Kenneth Paul

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Kleinman, Kenneth Paul

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Kleinman

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Kenneth Paul

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Kleinman, Kenneth Paul

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Pregnancy Hyperglycaemia and Risk of Prenatal and Postpartum Depressive Symptoms
(Wiley-Blackwell, 2015) Huang, Tianyi; Rifas-Shiman, Sheryl; Ertel, K; Rich-Edwards, Janet; Kleinman, Kenneth Paul; Gillman, Matthew; Oken, Emily; James-Todd, Tamarra
Background Glucose dysregulation in pregnancy may affect maternal depressive symptoms during the prenatal and postpartum periods via both physiologic and psychological pathways. Methods During mid-pregnancy, a combination of 50-g 1-h non-fasting glucose challenge test (GCT) and 100-g 3-h fasting oral glucose tolerance test was used to determine pregnancy glycaemic status among women participating in Project Viva: normal glucose tolerance (NGT), isolated hyperglycaemia (IHG), impaired glucose tolerance (IGT) and gestational diabetes mellitus (GDM). Using the Edinburgh Postnatal Depression Scale (EPDS), we assessed depressive symptoms at mid-pregnancy and again at 6 months postpartum. We used logistic regression, adjusted for sociodemographic, anthropometric and lifestyle factors, to estimate the odds of elevated prenatal and postpartum depressive symptoms (EPDS ≥ 13 on 0–30 scale) in relation to GCT glucose levels and GDM status in separate models. Results A total of 9.6% of women showed prenatal and 8.4% postpartum depressive symptoms. Women with higher GCT glucose levels were at greater odds of elevated prenatal depressive symptoms [multivariable-adjusted odds ratio (OR) per standard deviation (SD) increase in glucose levels (27 mg/dL): 1.25; 95%: 1.07, 1.48]. Compared with NGT women, the association appeared stronger among women with IHG [OR: 1.80; 95% confidence interval (CI): 1.08, 3.00] than among those with GDM (OR: 1.45; 95% CI: 0.72, 2.91) or IGT (OR: 1.43; 95% CI: 0.59, 3.46). Neither glucose levels assessed from the GCT nor pregnancy glycaemic status were significantly associated with elevated postpartum depressive symptoms. Conclusion Pregnancy hyperglycaemia was cross-sectionally associated with higher risk of prenatal depressive symptoms, but not with postpartum depressive symptoms.
Racial discrimination, response to unfair treatment, and depressive symptoms among pregnant black and African American women in the United States
(Elsevier BV, 2012) Ertel, K; James-Todd, Tamarra; Kleinman, Kenneth Paul; Krieger, Nancy; Gillman, Matthew; Wright, Rosalind Jo; Rich-Edwards, Janet
Purpose To assess the association between self-reported racial discrimination and prenatal depressive symptoms among black women. Methods Our study population consisted of two cohorts of pregnant women: the Asthma Coalition on Community, Environment, and Social Stress project (ACCESS) and Project Viva. We measured self-reported racial discrimination among black women using a modified Experiences of Discrimination scale (score 0–8). We assessed elevated depressive symptoms (EDS) with the Edinburgh Postnatal Depression Scale (≥13 on a 0–30 scale). Results Fifty-four percent of ACCESS and 78% of Viva participants reported experiencing racial discrimination. After adjusting for age, marital status, income, education, and nativity, a 1-U increment in Experiences of Discrimination score was associated with 48% increased odds of EDS (odds ratio, 1.48; 95% confidence interval, 1.24–1.76) for ACCESS participants but was not significantly associated among Viva participants (odds ratio, 1.12; 95% confidence interval, 0.92–1.37). In both cohorts, responding to unfair treatment by talking to others was associated with the lowest odds of EDS. Conclusions Our findings suggest that higher levels of perceived racial discrimination may increase depressive symptoms during pregnancy among U.S. black women. Interventions involving talking to others may aid in reducing the risk of depressive symptoms among black women experiencing higher levels of racial discrimination.
Improving Public Reporting and Data Validation for Complex Surgical Site Infections After Coronary Artery Bypass Graft Surgery and Hip Arthroplasty
(Oxford University Press, 2014) Calderwood, Michael S.; Kleinman, Kenneth Paul; Murphy, Michael; Platt, Richard; Huang, Susan S.
Background: Deep and organ/space surgical site infections (D/OS SSI) cause significant morbidity, mortality, and costs. Rates are publicly reported and increasingly used as quality metrics affecting hospital payment. Lack of standardized surveillance methods threaten the accuracy of reported data and decrease confidence in comparisons based upon these data. Methods: We analyzed data from national validation studies that used Medicare claims to trigger chart review for SSI confirmation after coronary artery bypass graft surgery (CABG) and hip arthroplasty. We evaluated code performance (sensitivity and positive predictive value) to select diagnosis codes that best identified D/OS SSI. Codes were analyzed individually and in combination. Results: Analysis included 143 patients with D/OS SSI after CABG and 175 patients with D/OS SSI after hip arthroplasty. For CABG, 9 International Classification of Diseases, 9th Revision (ICD-9) diagnosis codes identified 92% of D/OS SSI, with 1 D/OS SSI identified for every 4 cases with a diagnosis code. For hip arthroplasty, 6 ICD-9 diagnosis codes identified 99% of D/OS SSI, with 1 D/OS SSI identified for every 2 cases with a diagnosis code. Conclusions: This standardized and efficient approach for identifying D/OS SSI can be used by hospitals to improve case detection and public reporting. This method can also be used to identify potential D/OS SSI cases for review during hospital audits for data validation.
915Is a hospital's surgical site infection rate among Medicare-insured patients a good indicator of outcome for commercially-insured patients?
(Oxford University Press, 2014) Calderwood, Michael S.; Kleinman, Kenneth Paul; Murphy, Michael; Yokoe, Deborah; Platt, Richard; Huang, Susan S.
1288Rapid Dissemination of Universal Decolonization in Adult Intensive Care Units (ICUs) Reduces Healthcare-Associated (HA) Central Line Associated Bloodstream Infections (CLABSI) in over 100 Community Hospitals in a Single Healthcare System
(Oxford University Press, 2014) Hickok, Jason; Moody, Julia; Kleinman, Kenneth Paul; Avery, Taliser; Huang, Susan S.; Bienvenu, Sara; Perlin, Jonathan; Platt, Richard; Septimus, Edward
Confounding by indication affects antimicrobial risk factors for methicillin-resistant Staphylococcus aureus but not vancomycin-resistant enterococci acquisition
(BioMed Central, 2014) Datta, Rupak; Kleinman, Kenneth Paul; Rifas-Shiman, Sheryl; Placzek, Hilary; Lankiewicz, Julie; Platt, Richard; Huang, Susan S
Background: Observational studies rarely account for confounding by indication, whereby empiric antibiotics initiated for signs and symptoms of infection prior to the diagnosis of infection are then viewed as risk factors for infection. We evaluated whether confounding by indication impacts antimicrobial risk factors for methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci (VRE) acquisition. Findings: We previously reported several predictors of MRSA and VRE acquisition in 967 intensive care unit (ICU) patients with no prior history of MRSA or VRE who had an initial negative screening culture followed by either a subsequent negative screening culture (controls) or positive screening or clinical culture (cases). Within and prior to this acquisition interval, we collected demographic, comorbidity, daily device and antibiotic utilization data. We now re-evaluate all antibiotics by medical record review for evidence of treatment for signs and symptoms ultimately attributable to MRSA or VRE. Generalized linear mixed models are used to assess variables associated with MRSA or VRE acquisition, accounting for clustering by ward. We find that exclusion of empiric antibiotics given for suspected infection affects 17% (113/661) of antibiotic prescriptions in 25% (60/244) of MRSA-positive patients but only 1% (5/491) of antibiotic prescriptions in 1% (3/227) of VRE-positive patients. In multivariate testing, fluoroquinolones are no longer associated with MRSA acquisition, and aminoglycosides are significantly protective (OR = 0.3, CI:0.1-0.7). Conclusions: Neglecting treatment indication may cause common empiric antibiotics to appear spuriously associated with MRSA acquisition. This effect is absent for VRE, likely because empiric therapy is infrequent given the low prevalence of VRE.
Correlations among adiposity measures in school-aged children
(BioMed Central, 2013) Boeke, Caroline E; Oken, Emily; Kleinman, Kenneth Paul; Rifas-Shiman, Sheryl; Taveras, Elsie; Gillman, Matthew
Background: Given that it is not feasible to use dual x-ray absorptiometry (DXA) or other reference methods to measure adiposity in all pediatric clinical and research settings, it is important to identify reasonable alternatives. Therefore, we sought to determine the extent to which other adiposity measures were correlated with DXA fat mass in school-aged children. Methods: In 1110 children aged 6.5-10.9 years in the pre-birth cohort Project Viva, we calculated Spearman correlation coefficients between DXA (n=875) and other adiposity measures including body mass index (BMI), skinfold thickness, circumferences, and bioimpedance. We also computed correlations between lean body mass measures. Results: 50.0% of the children were female and 36.5% were non-white. Mean (SD) BMI was 17.2 (3.1) and total fat mass by DXA was 7.5 (3.9) kg. DXA total fat mass was highly correlated with BMI (rs=0.83), bioimpedance total fat (rs=0.87), and sum of skinfolds (rs=0.90), and DXA trunk fat was highly correlated with waist circumference (rs=0.79). Correlations of BMI with other adiposity indices were high, e.g., with waist circumference (rs=0.86) and sum of subscapular plus triceps skinfolds (rs=0.79). DXA fat-free mass and bioimpedance fat-free mass were highly correlated (rs=0.94). Conclusions: In school-aged children, BMI, sum of skinfolds, and other adiposity measures were strongly correlated with DXA fat mass. Although these measurement methods have limitations, BMI and skinfolds are adequate surrogate measures of relative adiposity in children when DXA is not practical.
in silico Surveillance: evaluating outbreak detection with simulation models
(BioMed Central, 2013) Lewis, Bryan; Eubank, Stephen; Abrams, Allyson M; Kleinman, Kenneth Paul
Background: Detecting outbreaks is a crucial task for public health officials, yet gaps remain in the systematic evaluation of outbreak detection protocols. The authors’ objectives were to design, implement, and test a flexible methodology for generating detailed synthetic surveillance data that provides realistic geographical and temporal clustering of cases and use to evaluate outbreak detection protocols. Methods: A detailed representation of the Boston area was constructed, based on data about individuals, locations, and activity patterns. Influenza-like illness (ILI) transmission was simulated, producing 100 years of in silico ILI data. Six different surveillance systems were designed and developed using gathered cases from the simulated disease data. Performance was measured by inserting test outbreaks into the surveillance streams and analyzing the likelihood and timeliness of detection. Results: Detection of outbreaks varied from 21% to 95%. Increased coverage did not linearly improve detection probability for all surveillance systems. Relaxing the decision threshold for signaling outbreaks greatly increased false-positives, improved outbreak detection slightly, and led to earlier outbreak detection. Conclusions: Geographical distribution can be more important than coverage level. Detailed simulations of infectious disease transmission can be configured to represent nearly any conceivable scenario. They are a powerful tool for evaluating the performance of surveillance systems and methods used for outbreak detection.
Secular trends in family dinner frequency among adolescents
(BioMed Central, 2016) Walton, Kathryn; Kleinman, Kenneth Paul; Rifas-Shiman, Sheryl; Horton, Nicholas J.; Gillman, Matthew; Field, Alison E.; Bryn Austin, S.; Neumark-Sztainer, Dianne; Haines, Jess
Background: Eating meals, particularly dinner, with family members has been found to be associated with improved dietary intake, lower prevalence of disordered eating behaviors, lower levels of substance abuse, and improved academic outcomes among adolescents. Limited research has examined how the frequency of family meals has changed over time. The objective of this study was to examine secular trends in family dinner frequency over a 12-year period using a large, nation-wide sample of adolescents. Methods: Using data from two cohorts of the Growing up Today study (GUTS; n = 18,075 observations for 14,79,714 and 15 year olds), we compared family dinner frequency among 14–15-year-olds in 1996 (GUTS1) through 2008 (GUTS2) and rate of change in family dinner frequency from 1996 to 1998 (GUTS1) and 2004–2008 (GUTS2). We fit logistic models using generalized estimating equations with independence working correlation and empirical variance to account for correlation within individual and between siblings. Results: From 1996 to 2008, the number of family dinners per week among males decreased from 5.3 to 4.6 (p = 0.04) and among females from 5.0 to 4.4 (p = 0.03). We found that the rate of decline in frequency of family meals was consistent in GUTS1 (1996–1998) and GUTS2 (2004–2008) among both males and females. Conclusions: From 1996 to 2008, frequency of family dinners decreased among adolescents. Future research should explore reasons for this decline as well as strategies to increase family meals among adolescents.
The Linked CENTURY Study: linking three decades of clinical and public health data to examine disparities in childhood obesity
(BioMed Central, 2016) Hawkins, Summer Sherburne; Gillman, Matthew; Rifas-Shiman, Sheryl; Kleinman, Kenneth Paul; Mariotti, Megan; Taveras, Elsie
Background: Despite the need to identify the causes of disparities in childhood obesity, the existing epidemiologic studies of early life risk factors have several limitations. We report on the construction of the Linked CENTURY database, incorporating CENTURY (Collecting Electronic Nutrition Trajectory Data Using Records of Youth) Study data with birth certificates; and discuss the potential implications of combining clinical and public health data sources in examining the etiology of disparities in childhood obesity. Methods: We linked the existing CENTURY Study, a database of 269,959 singleton children from birth to age 18 years with measured heights and weights, with each child’s Massachusetts birth certificate, which captures information on their mothers’ pregnancy history and detailed socio-demographic information of both mothers and fathers. Results: Overall, 74.2 % were matched, resulting in 200,343 children in the Linked CENTURY Study with 1,580,597 well child visits. Among this cohort, 94.0 % (188,334) of children have some father information available on the birth certificate and 60.9 % (121,917) of children have at least one other sibling in the dataset. Using maternal race/ethnicity from the birth certificate as an indicator of children’s race/ethnicity, 75.7 % of children were white, 11.6 % black, 4.6 % Hispanic, and 5.7 % Asian. Based on socio-demographic information from the birth certificate, 20.0 % of mothers were non-US born, 5.9 % smoked during pregnancy, 76.3 % initiated breastfeeding, and 11.0 % of mothers had their delivery paid for by public health insurance. Using clinical data from the CENTURY Study, 22.7 % of children had a weight-for-length ≥ 95th percentile between 1 and 24 months and 12.0 % of children had a body mass index ≥ 95th percentile at ages 5 and 17 years. Conclusions: By linking routinely-collected data sources, it is possible to address research questions that could not be answered with either source alone. Linkage between a clinical database and each child’s birth certificate has created a unique dataset with nearly complete racial/ethnic and socio-demographic information from both parents, which has the potential to examine the etiology of racial/ethnic and socioeconomic disparities in childhood obesity.