Faculty Bibliography

BACKGROUND AND OBJECTIVE/OBJECTIVE:Adiposity in pre- and postnatal life may influence menarcheal age. Existing evidence is primarily cross-sectional, failing to address temporality, for which the role of adiposity in early life remains unclear. The current study sought to systematically review longitudinal studies evaluating the associations between birth weight and infant/childhood weight status/weight gain in relation to menarcheal age. METHODS:PubMed, EMBASE, Web of Science, Global Health (Ovid) and CINAHL were systematically searched. Selected studies were limited to English-language articles presenting multi-variable analyses. Seventeen studies reporting risk estimates for birth weight (n = 3), infant/childhood weight gain/weight status (n = 4) or both (n = 10), in relation to menarcheal age were included. RESULTS:Lower vs. higher birth weight was associated with earlier menarche in nine studies and later menarche in one study, while three studies reported a null association. Greater BMI or weight gain over time and greater childhood weight were significantly associated with earlier menarche in nine of nine and six of seven studies, respectively. CONCLUSIONS:Studies suggested that lower birth weight and higher body weight and weight gain in infancy and childhood may increase the risk of early menarche. The pre- and postnatal period may thus be an opportune time for weight control interventions to prevent early menarche, and its subsequent consequences.

Rising obesity rates coupled with population aging have elicited serious concern over the impact of obesity on disability in later life. Prior work showed a significant increase in the association between obesity and disability from 1988-2004, calling attention to disability as the cost of longer lifetime exposures to obesity. It is not known whether this trend has continued. We examined functional impairment and activities of daily living (ADL) impairment (defined as severe and moderate to severe) for adults aged 60 and older (n = 16,770) over 3 periods in the National Health and Nutrition Examination Surveys. The relative odds of impairment for obese vs. normal weight individuals significantly increased from period 1 (1988-1994) to period 2 (1999-2004) for all outcomes. In period 3 (2005-2012), this association remained stable for functional and severe ADL impairment, and decreased for moderate to severe ADL impairment. The fraction of population disability attributable to obesity followed a similar trend. The trend of an increasing association between obesity and disability has leveled off in more recent years, and is even improving for some measures. These findings suggest that public health and policy concerns that obesity would continue to get more disabling over time have not been borne out.

BACKGROUND: The adoption of Medicaid expansion in some states and not others provided a unique natural experiment to study the effects of Medicaid. Research stemming from this natural experiment suggests that Medicaid expansion increased health insurance coverage, improved access to care, and reduced cost-related barriers to prescription drugs among low income individuals. Findings with respect to health outcomes, however, have been more mixed. Therefore, we analyzed recently released national data from the Behavioral Risk Factor Surveillance System (BRFSS) to assess the relationship between Medicaid expansion and self-reported health measures among low-income individuals. METHODS: We used 2011-2015 BRFSS data, which provided 3 years of data prior to implementation of Medicaid expansion and 2 years of follow-up data in the majority of expansion states. Our study sample consisted of all individuals age 18-64 with household incomes below $15,000, targeting individuals who would have qualified for Medicaid coverage in expansion states. As in prior work, we excluded five states that had previously expanded Medicaid. Our outcomes were self-reported general health, poor physical health days, poor mental health days, and disability following Medicaid expansion. We used a difference-in-differences approach to estimate the effect of Medicaid expansion on our outcomes of interest. Our key independent variable was equal to 1 for individuals living in states where expansion was in effect during the month of their interview. Estimates were obtained with multivariable linear probability models and adjusted for age, race/ethnicity, sex, education, marital status, and children, as well as state-level and quarter year fixed effects. We used BRFSS sampling weights and estimated robust standard errors clustered at the state level to account for serial autocorrelation. RESULTS: In adjusted analyses of the influence of Medicaid expansion, we found that expansion was associated with a significant reduction in fair/poor self-rated health (2.5 percentage points [95% CI, -3.5 to -1.5]). While expansion was not associated with a statistically significant change in the number of poor physical health days (-0.20 days [95% CI, -0.68 to 0.28]), it was associated with a significant reduction in the number of poor mental health days (-0.52 days [95% CI, -0.99 to -0.04]). Change in disability prevalence did not vary between expansion and non-expansion states (P = 0.73). Adjusted linear time trends prior to expansion (2011 to 2013) for all outcomes were similar in expansion and non-expansion states (P > .05 for all comparisons). CONCLUSIONS: To our knowledge this is the first national study to report positives changes in self-reported general health following the ACA's Medicaid expansion provision, driven by changes in mental health. Whether these trends continue to improve will likely depend on whether policymakers choose to improve or repeal the ACA in the coming months

BACKGROUND:Prior work suggests that obesity may confer a survival advantage among persons with cardiovascular disease (CVD). This obesity "paradox" is frequently studied in the context of prevalent disease, a stage in the disease process when confounding from illness-related weight loss and selective survival are especially problematic. Our objective was to examine the association of obesity with mortality among persons with incident CVD, where biases are potentially reduced, and to compare these findings with those based on prevalent disease. METHODS:We used data from the Health and Retirement Study, an ongoing, nationally representative longitudinal survey of U.S. adults age 50 years and older initiated in 1992 and linked to Medicare claims. Cox proportional hazard models were used to estimate the association between weight status and mortality among persons with specific CVD diagnoses. CVD diagnoses were established by self-reported survey data as well as Medicare claims. Prevalent disease models used concurrent weight status, and incident disease models used pre-diagnosis weight status. RESULTS:We examined myocardial infarction, congestive heart failure, stroke, and ischemic heart disease. A strong and significant obesity paradox was consistently observed in prevalent disease models (hazard of death 18-36% lower for obese class I relative to normal weight), replicating prior findings. However, in incident disease models of the same conditions in the same dataset, there was no evidence of this survival benefit. Findings from models using survey- vs. claims-based diagnoses were largely consistent. CONCLUSION/CONCLUSIONS:We observed an obesity paradox in prevalent CVD, replicating prior findings in a population-based sample with longer-term follow-up. In incident CVD, however, we did not find evidence of a survival advantage for obesity. Our findings do not offer support for reevaluating clinical and public health guidelines in pursuit of a potential obesity paradox.

BACKGROUND: Educational disparities in U.S. adult mortality are large and have widened across birth cohorts. We consider three policy relevant scenarios and estimate the mortality attributable to: (1) individuals having less than a high school degree rather than a high school degree, (2) individuals having some college rather than a baccalaureate degree, and (3) individuals having anything less than a baccalaureate degree rather than a baccalaureate degree, using educational disparities specific to the 1925, 1935, and 1945 cohorts. METHODS: We use the National Health Interview Survey data (1986-2004) linked to prospective mortality through 2006 (N=1,008,949), and discrete-time survival models, to estimate education- and cohort-specific mortality rates. We use those mortality rates and data on the 2010 U.S. population from the American Community Survey, to calculate annual attributable mortality estimates. RESULTS: If adults aged 25-85 in the 2010 U.S. population experienced the educational disparities in mortality observed in the 1945 cohort, 145,243 deaths could be attributed to individuals having less than a high school degree rather than a high school degree, 110,068 deaths could be attributed to individuals having some college rather than a baccalaureate degree, and 554,525 deaths could be attributed to individuals having anything less than a baccalaureate degree rather than a baccalaureate degree. Widening educational disparities between the 1925 and 1945 cohorts result in a doubling of attributable mortality. Mortality attributable to having less than a high school degree is proportionally similar among women and men and among non-Hispanic blacks and whites, and is greater for cardiovascular disease than for cancer. CONCLUSIONS: Mortality attributable to low education is comparable in magnitude to mortality attributable to individuals being current rather than former smokers. Existing research suggests that a substantial part of the association between education and mortality is causal. Thus, policies that increase education could significantly reduce adult mortality.

OBJECTIVES: Although critical care physicians view obesity as an independent poor prognostic marker, growing evidence suggests that obesity is, instead, associated with improved mortality following ICU admission. However, this prior empirical work may be biased by preferential admission of obese patients to ICUs, and little is known about other patient-centered outcomes following critical illness. We sought to determine whether 1-year mortality, healthcare utilization, and functional outcomes following a severe sepsis hospitalization differ by body mass index. DESIGN: Observational cohort study. SETTING: U.S. hospitals. PATIENTS: We analyzed 1,404 severe sepsis hospitalizations (1999-2005) among Medicare beneficiaries enrolled in the nationally representative Health and Retirement Study, of which 597 (42.5%) were normal weight, 473 (33.7%) were overweight, and 334 (23.8%) were obese or severely obese, as assessed at their survey prior to acute illness. Underweight patients were excluded a priori. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Using Medicare claims, we identified severe sepsis hospitalizations and measured inpatient healthcare facility use and calculated total and itemized Medicare spending in the year following hospital discharge. Using the National Death Index, we determined mortality. We ascertained pre- and postmorbid functional status from survey data. Patients with greater body mass indexes experienced lower 1-year mortality compared with nonobese patients, and there was a dose-response relationship such that obese (odds ratio = 0.59; 95% CI, 0.39-0.88) and severely obese patients (odds ratio = 0.46; 95% CI, 0.26-0.80) had the lowest mortality. Total days in a healthcare facility and Medicare expenditures were greater for obese patients (p < 0.01 for both comparisons), but average daily utilization (p = 0.44) and Medicare spending were similar (p = 0.65) among normal, overweight, and obese survivors. Total function limitations following severe sepsis did not differ by body mass index category (p = 0.64). CONCLUSIONS: Obesity is associated with improved mortality among severe sepsis patients. Due to longer survival, obese sepsis survivors use more healthcare and result in higher Medicare spending in the year following hospitalization. Median daily healthcare utilization was similar across body mass index categories.

OBJECTIVES: We sought to analyze how early exposure to the 1918 influenza pandemic is associated with old-age mortality by cause of death. METHODS: We analyzed the National Health Interview Survey (n = 81,571; follow-up 1989-2006; 43,808 deaths) and used year and quarter of birth to assess timing of pandemic exposure. We used Cox proportional and Fine-Gray competing hazard models for all-cause and cause-specific mortality, respectively. RESULTS: Cohorts born during pandemic peaks had excess all-cause mortality attributed to increased noncancer mortality. We found evidence for a trade-off between noncancer and cancer causes: cohorts with high noncancer mortality had low cancer mortality, and vice versa. CONCLUSIONS: Early disease exposure increases old-age mortality through noncancer causes, which include respiratory and cardiovascular diseases, and may trigger a trade-off in the risk of cancer and noncancer causes. Potential mechanisms include inflammation or apoptosis. The findings contribute to our understanding of the causes of death behind the early disease exposure-later mortality association. The cancer-noncancer trade-off is potentially important for understanding the mechanisms behind these associations.

OBJECTIVES: Understanding the septum structure of the sinus is necessary for correct implant placement in the maxilla if sinus encroachment is required. The exact mechanism that controls septum development is unclear, although a role for the irregular pneumatization of the sinus floor following tooth loss has been suggested. The aims of this study were to examine the prevalence and location of sinus septa in the Taiwanese population and to determine whether there is a relationship between the presence of septa and the absence of molars. MATERIALS AND METHODS: Using computed tomography (CT) scans of sinuses obtained from 423 subjects (216 women and 207 men, mean age 53.65 years), septum morphology and its correlation with the presence of molars was examined. RESULTS: About 30% of subjects (124/423) had sinus septa, corresponding to 20.45% of all sinus segments detected (173/846). Fifty-nine patients had multiple septa, giving a prevalence of septa of 22.93%. Septa were located most frequently in the regions of the first and second molars. The prevalence was not related to tooth loss (edentulous, partially edentulous, or dentate maxillary segments). Logistic regression analysis showed that men were significantly more likely to have septa than were women (OR=1.67; P=0.019). CONCLUSIONS: In the 423 Taiwanese subjects tested, the prevalence of septum was 29.31% according to the subjects and 22.93% according to the sinus segments. The most frequent location of septa was in the region of the first and secondary molars. No correlation was observed between the presence of septa and the absence of molars.