Tala H. I. Fakhouri
National Center for Health Statistics
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Featured researches published by Tala H. I. Fakhouri.
JAMA Pediatrics | 2013
Tala H. I. Fakhouri; Jeffery P. Hughes; Debra J. Brody; Brian K. Kit; Cynthia L. Ogden
OBJECTIVES To describe the percentage of children who met physical activity and screen-time recommendations and to examine demographic differences. Recommendations for school-aged children include 60 minutes of daily moderate-to-vigorous physical activity and no more than 2 hours per day of screen-time viewing. DESIGN Cross-sectional study. SETTING Data from the 2009-2010 National Health and Nutrition Examination Survey, a representative sample of the US population. PARTICIPANTS Analysis included 1218 children 6 to 11 years of age. MAIN EXPOSURES Age, race/ethnicity, sex, income, family structure, and obesity status. MAIN OUTCOME MEASURES Proxy-reported adherence to physical activity and screen-time recommendations, separately and concurrently. RESULTS Based on proxy reports, overall, 70% of children met physical activity recommendations, and 54% met screen-time viewing recommendations. Although Hispanics were less likely to meet physical activity recommendations (adjusted odds ratio [aOR], 0.60 [95% CI, 0.38-0.95]), they were more likely to meet screen-time recommendations compared with non-Hispanic whites (aOR, 1.69 [95% CI, 1.18-2.43]). Only 38% met both recommendations concurrently. Age (9-11 years vs 6-8 years: aOR, 0.57 [95% CI, 0.38-0.85]) and obesity (aOR, 0.53 [95% CI, 0.38-0.73]) were inversely associated with concurrent adherence to both recommendations. CONCLUSIONS Fewer than 4 in 10 children met both physical activity and screen-time recommendations concurrently. The prevalence of sedentary behavior was higher in older children. Low levels of screen-time viewing may not necessarily predict higher levels of physical activity.
Journal of Nutrition | 2015
Regan L Bailey; Tala H. I. Fakhouri; Yikyung Park; Johanna T. Dwyer; Paul R. Thomas; Jaime J. Gahche; Paige E. Miller; Kevin W. Dodd; Christopher T. Sempos; David M. Murray
BACKGROUND Multivitamin-mineral (MVM) products are the most commonly used supplements in the United States, followed by multivitamin (MV) products. Two randomized clinical trials (RCTs) did not show an effect of MVMs or MVs on cardiovascular disease (CVD) mortality; however, no clinical trial data are available for women with MVM supplement use and CVD mortality. OBJECTIVE The objective of this research was to examine the association between MVM and MV use and CVD-specific mortality among US adults without CVD. METHODS A nationally representative sample of adults from the restricted data NHANES III (1988-1994; n = 8678; age ≥40 y) were matched with mortality data reported by the National Death Index through 2011 to examine associations between MVM and MV use and CVD mortality by using Cox proportional hazards models, adjusting for multiple potential confounders. RESULTS We observed no significant association between CVD mortality and users of MVMs or MVs compared with nonusers; however, when users were classified by the reported length of time products were used, a significant association was found with MVM use of >3 y compared with nonusers (HR: 0.65; 95% CI: 0.49, 0.85). This finding was largely driven by the significant association among women (HR: 0.56; 95% CI: 0.37, 0.85) but not men (HR: 0.79; 95% CI: 0.44, 1.42). No significant association was observed for MV products and CVD mortality in fully adjusted models. CONCLUSIONS In this nationally representative data set with detailed information on supplement use and CVD mortality data ∼20 y later, we found an association between MVM use of >3 y and reduced CVD mortality risk for women when models controlled for age, race, education, body mass index, alcohol, aspirin use, serum lipids, blood pressure, and blood glucose/glycated hemoglobin. Our results are consistent with the 1 available RCT in men, indicating no relation with MVM use and CVD mortality.
Medicine | 2016
Yutaka Aoki; Debra J. Brody; Katherine M. Flegal; Tala H. I. Fakhouri; Daniel A. Axelrad; Jennifer D. Parker
AbstractAnalyses of the Third National Health and Nutrition Examination Survey (NHANES III) in 1988 to 1994 found an association of increasing blood lead levels <10 &mgr;g/dL with a higher risk of cardiovascular disease (CVD) mortality. The potential need to correct blood lead for hematocrit/hemoglobin and adjust for biomarkers for other metals, for example, cadmium and iron, had not been addressed in the previous NHANES III-based studies on blood lead-CVD mortality association.We analyzed 1999 to 2010 NHANES data for 18,602 participants who had a blood lead measurement, were ≥40 years of age at the baseline examination and were followed for mortality through 2011. We calculated the relative risk for CVD mortality as a function of hemoglobin- or hematocrit-corrected log-transformed blood lead through Cox proportional hazard regression analysis with adjustment for serum iron, blood cadmium, serum C-reactive protein, serum calcium, smoking, alcohol intake, race/Hispanic origin, and sex.The adjusted relative risk for CVD mortality was 1.44 (95% confidence interval = 1.05, 1.98) per 10-fold increase in hematocrit-corrected blood lead with little evidence of nonlinearity. Similar results were obtained with hemoglobin-corrected blood lead. Not correcting blood lead for hematocrit/hemoglobin resulted in underestimation of the lead-CVD mortality association while not adjusting for iron status and blood cadmium resulted in overestimation of the lead-CVD mortality association.In a nationally representative sample of U.S. adults, log-transformed blood lead was linearly associated with increased CVD mortality. Correcting blood lead for hematocrit/hemoglobin and adjustments for some biomarkers affected the association.
Journal of Nutrition | 2014
Tala H. I. Fakhouri; A. Hope Jahren; Lawrence J. Appel; Liwei Chen; Reza Alavi; Cheryl A.M. Anderson
Serum carbon isotope values [13C-to-12C serum carbon isotope ratio (δ(13)C)], which reflect consumption of corn- and cane-based foods, differ between persons consuming high and low amounts of sugar-sweetened beverages (SSBs). In this study, we determined whether serum δ(13)C changes in response to change in SSB intake during an 18-mo behavioral intervention trial. Data were from a subset of 144 participants from the PREMIER trial, a completed behavioral intervention (Maryland, 1998-2004). SSB intake was assessed using 2 24-h dietary recall interviews. Blinded serum samples were assayed for δ(13)C by natural abundance stable isotope mass spectroscopy. Multiple linear regression models with generalized estimating equations and robust variance estimation were used. At baseline, mean SSB intake was 13.8 ± 14.2 fl oz/d, and mean δ(13)C serum value was -19.3 ± 0.6 units per mil (designated ‰). A reduction of 12 oz (355 mL)/d SSB (equivalent to 1 can of soda per day) was associated with 0.17‰ (95% CI: 0.08‰, 0.25‰ P < 0.0001) reduction in serum δ(13)C values over 18 mo (equivalent to a 1% reduction in δ(13)C from baseline). After adjusting for potential confounders, a reduction of 12 oz/d SSB (equivalent to 1 can of soda per day), over an 18-mo period, was associated with 0.12‰ (95% CI: 0.01‰, 0.22‰ P = 0.025) reduction in serum δ(13)C. These findings suggest that serum δ(13)C can be used as a measure of dietary changes in SSB intake.
Morbidity and Mortality Weekly Report | 2017
Cynthia L. Ogden; Tala H. I. Fakhouri; Margaret D. Carroll; Craig M. Hales; Cheryl D. Fryar; Xianfen Li; David S. Freedman
Studies have suggested that obesity prevalence varies by income and educational level, although patterns might differ between high-income and low-income countries (1-3). Previous analyses of U.S. data have shown that the prevalence of obesity varied by income and education, but results were not consistent by sex and race/Hispanic origin (4). Using data from the National Health and Nutrition Examination Survey (NHANES), CDC analyzed obesity prevalence among adults (aged ≥20 years) by three levels of household income, based on percentage (≤130%, >130% to ≤350%, and >350%) of the federal poverty level (FPL) and individual education level (high school graduate or less, some college, and college graduate). During 2011-2014, the age-adjusted prevalence of obesity among adults was lower in the highest income group (31.2%) than the other groups (40.8% [>130% to ≤350%] and 39.0% [≤130%]). The age-adjusted prevalence of obesity among college graduates was lower (27.8%) than among those with some college (40.6%) and those who were high school graduates or less (40.0%). The patterns were not consistent across all sex and racial/Hispanic origin subgroups. Continued progress is needed to achieve the Healthy People 2020 targets of reducing age-adjusted obesity prevalence to <30.5% and reducing disparities (5).
Morbidity and Mortality Weekly Report | 2018
Cynthia L. Ogden; Margaret D. Carroll; Tala H. I. Fakhouri; Craig M. Hales; Cheryl D. Fryar; Xianfen Li; David S. Freedman
Obesity prevalence varies by income and education level, although patterns might differ among adults and youths (1-3). Previous analyses of national data showed that the prevalence of childhood obesity by income and education of household head varied across race/Hispanic origin groups (4). CDC analyzed 2011-2014 data from the National Health and Nutrition Examination Survey (NHANES) to obtain estimates of childhood obesity prevalence by household income (≤130%, >130% to ≤350%, and >350% of the federal poverty level [FPL]) and head of household education level (high school graduate or less, some college, and college graduate). During 2011-2014 the prevalence of obesity among U.S. youths (persons aged 2-19 years) was 17.0%, and was lower in the highest income group (10.9%) than in the other groups (19.9% and 18.9%) and also lower in the highest education group (9.6%) than in the other groups (18.3% and 21.6%). Continued progress is needed to reduce disparities, a goal of Healthy People 2020. The overall Healthy People 2020 target for childhood obesity prevalence is <14.5% (5).
Preventive Medicine | 2018
Marissa L. Zwald; Tala H. I. Fakhouri; Cheryl D. Fryar; Geoffrey P. Whitfield; Lara J. Akinbami
Active transportation (AT), or walking or bicycling for transportation, represents one way individuals can achieve recommended physical activity (PA) levels. This study describes AT prevalence and temporal trends, and examines associations between AT levels and measured CVD risk factors (hypertension, hypercholesterolemia, low high-density [HDL] cholesterol, diabetes, and obesity) among U.S. adults. National Health and Nutrition Examination Survey (NHANES) 2007-2016 data (analyzed in 2017) were used to conduct overall trend analyses of reported AT in a typical week [none (0-9 min/week); low (10-149 min/week); or high (≥150 min/week)]. Logistic regression was used to examine associations between AT level and each CVD risk factor from NHANES 2011-2016 (n = 13,943). Covariates included age, sex, race/Hispanic origin, education, income, smoking, survey cycle, non-transportation PA, and urbanization level. U.S. adults who engaged in high AT levels increased from 13.1% in 2007-2008 to 17.9% in 2011-2012, and then decreased to 10.6% in 2015-2016 (p for quadratic trend = 0.004). Over the same period, the quadratic trend for low AT was not significant. During 2011-2016, 14.3% of adults engaged in high AT, 11.4% in low AT, and 74.4% in no AT. High AT levels were associated with decreased odds of each CVD risk factor assessed, compared to no AT. Low AT (versus no AT) was associated with decreased odds of hypertension (aOR = 0.77, 95% CI 0.64, 0.91) and diabetes (aOR = 0.68, 95% CI 0.54, 0.85). AT prevalence among adults has fluctuated from 2007 to 2016. Despite favorable associations between AT and CVD risk factors, most U.S. adults do not engage in any AT.
NCHS data brief | 2014
Tala H. I. Fakhouri; Jeffery P. Hughes; Vicki L. Burt; MinKyoung Song; Janet E. Fulton; Cynthia L. Ogden
NCHS data brief | 2012
Tala H. I. Fakhouri; Brian K. Kit; Cynthia L. Ogden
NCHS data brief | 2014
Jaime J. Gahche; Tala H. I. Fakhouri; Dianna D. Carroll; Vicki L. Burt; Chia-Yih Wang; Janet E. Fulton