ライフサイエンスコーパス: NHANES

1 NHANES (National Health and Nutrition Examination Survey

2 NHANES 2011-2016 dietary data were used to estimate the

3 NHANES cross-sectional data (2009-2012) were analyzed in

4 NHANES is a series of cross-sectional, nationally repres

5 NHANES, however, excludes several high-risk populations

6 beta -0.036, 95%CI: -0.06, -0.02, p < 0.01; NHANES beta -0.032, 95%CI: -0.05, -0.02, p < 0.01), depr

7 (HRS beta 1.50, 95%CI: 0.34, 2.49, p < 0.01; NHANES beta 0.86, 95%CI: 0.32, 1.48, p < 0.01), but incr

8 HRS beta 0.20, 95%CI: 0.002, 0.40, p = 0.05; NHANES beta 0.13, 95%CI: 0.01, 0.32, p = 0.05) and total

9 In the 2005-2006 NHANES adult population, increased exercise intensity is

10 For the 2007-2008 NHANES data, the ANN model assigned 7 out of 1998 specim

11 rediabetes who participated in the 2005-2010 NHANES cycles.

12 and postfortification (1999-2006, 2007-2010) NHANES we applied 6 approaches: #1) assume SFOL = 0; #2)

13 adults (>=60 y; n = 2420) from the 2011-2014 NHANES were analyzed.

14 1998 specimens (0.35%) and for the 2013-2014 NHANES data 12 out of 2906 specimens (0.41%) to the crud

15 1-to-2 24HUE and 24HDR measures in the 2014 NHANES.

16 A-positive persons not part of the 2013-2016 NHANES sampling frame.

17 From 2005 to 2016, NHANES surveyed 4072 individuals who represent 20 millio

18 ations were then used to predict WCI in 5594 NHANES participants whose BMI was within the normal weig

19 A total of 5746 NHANES participants had optic images originally graded.

20 Results: Study participants included 6489 NHANES participants with a mean (SD) age of 13.6 (3.6) y

21 with the US population (represented by 5,769 NHANES participants), the 12,280 Health eHeart participa

22 Overall, 9608 NHANES participants representing 67.9 million adults wer

23 in male and female children and adolescents: NHANES 2011-2012.

24 EI-2010 than that of other groups across all NHANES cycles.

25 c (NH) white, NH black, and Mexican-American NHANES 1999-2006 participants.

26 Among NHANES subjects, the geometric mean household endotoxin

27 We analyzed NHANES data from 2005 to 2008 to determine the prevalenc

28 cohorts: (1) the NHANES III (1988-1994) and NHANES 1999-2014 and (2) the Give Us a Clue to Cancer an

29 Between NHANES 2001-2002 and NHANES 2009-2010, LSGMs of sCOT levels had changed -25%

30 index, serum cholesterol, hypertension, and NHANES phase (or cycle), the HR comparing influenza or p

31 utrition Examination Survey (NHANES) III and NHANES 1999 to 2004.

32 = 45 years of age enrolled in NHANES-III and NHANES 1999-2006, respectively.

33 monocular fundus photographs using MESA and NHANES definitions, respectively, including 47.0% (95% C

34 monocular fundus photographs using MESA and NHANES definitions, respectively.

35 nd Nutrition Examination Survey (NHANES) and NHANES III (1988-1994).

36 alculated using MBSAQIP data (numerator) and NHANES data (denominator).

37 Relating data from the IRIS Registry and NHANES could be a novel method for assessing ophthalmic

38 For summarized survey results and NHANES physical evaluation, prevalence rates for VI incr

39 clined from 2007 to 2010 in Project Viva and NHANES.

40 Between NHANES 2001-2002 and NHANES 2009-2010, LSGMs of sCOT lev

41 ration distribution of each food consumed by NHANES participants as the 4 iodine concentration summar

42 vast majority of the chemicals monitored by NHANES, the resulting list of associations is appropriat

43 ood codes corresponding to foods reported by NHANES participants were matched to NSRI and Health Cana

44 Exposures: Calendar time, as represented by NHANES cycle.

45 In the validation cohort (NHANES III), the equation provided for prognostic inform

46 re aged >=18 years, had undergone a complete NHANES Oral Health - Periodontal Exam with all measureme

47 ase I and Phase II, and 1999-2016 continuous NHANES were used to describe the distribution of BLLs (g

48 Calendar year, as represented by continuous NHANES cycle.

49 ealth and Nutrition Examination Survey data (NHANES, 2001-2012), we developed a potency-weighted sum

50 tion in nutrition assistance program at each NHANES cycle.

51 o estimate the prevalence of use within each NHANES cycle, and trends were evaluated across cycles.

52 The final NHANES examination response rate for adults aged 20-69 y

53 For NHANES II, estimated prevalence of BLLs >= 10 and >= 20

54 for summarized survey responses but not for NHANES physical examination.

55 of extent and severity of periodontitis for NHANES data (>/= 2 interproximal sites with >/= 3 mm att

56 UIC values and dietary intakes reported for NHANES participants who provided both types of data-and

57 o impute ABP-defined hypertension status for NHANES participants and estimate MHT prevalence among th

58 US adults (n = 4840) from NHANES (2003-2006) wore an accelerometer for </=7 d and

59 furans and LTL among 1,330 U.S. adults from NHANES 2001-2002.

60 risk factors were estimated using data from NHANES (National Health and Nutrition Examination Survey

61 imated with the use of 24-h recall data from NHANES 2007-2010 (n = 11,111; >/=19 y).

62 status and periodontal examination data from NHANES 2009 to 2010 and 2011 to 2012 were analyzed.

63 US dietary intake data from NHANES 2009-2014 were used to determine macronutrient in

64 We used serum 25-hydroxyvitamin D data from NHANES 2011-2014 (n = 16,180), and estimated the prevale

65 Dietary intake data from NHANES from 2001 to 2010 for adults >/=19 y of age were

66 , and pregnant females.We analyzed data from NHANES; toddlers aged 12-23 mo (NHANES 2003-2010), nonpr

67 ted against national estimates directly from NHANES 2009-2012.

68 Turkey consumption was estimated from NHANES data to estimate daily arsenic exposures for adul

69 tent with national prevalence estimates from NHANES 2009-2012.

70 he aim was to estimate usual SSB intake from NHANES surveys from 2003-2004 to 2013-2014 to examine sh

71 art rate; and PR, QRS, and QT intervals from NHANES I.

72 y of the chemical/health co-occurrences from NHANES that are higher than expected by chance.

73 rstood and cannot be estimated reliably from NHANES alone.

74 revalence of childhood obesity: results from NHANES, 2007-2010.

75 ere measured in plasma in 1613 subjects from NHANES 1999-2000 and 2462 subjects from NHANES 2009-2010

76 from NHANES 1999-2000 and 2462 subjects from NHANES 2009-2010 by gas chromatography-mass spectrometry

77 mpared self-report estimates with those from NHANES physical evaluations of presenting VI and blindne

78 s and also than Mexican American values from NHANES III (Third National Health and Nutrition Examinat

79 Adults aged 18 to 69 years from NHANES (National Health and Nutrition Examination Survey

80 nd Nutrition Examination Survey (NHANES) II, NHANES III Phase I and Phase II, and 1999-2016 continuou

81 In NHANES 1999-2006, adjusted HRs for the 80th vs. 20th per

82 In NHANES, participants with glaucoma had significantly hig

83 In NHANES-III, after adjustment for sex, race/ethnicity, ed

84 The 3136 US adults in NHANES (2007-2012) aged 40 to 65 years represented 100.1

85 ukocyte telomere length among U.S. adults in NHANES, 2001-2002.

86 More recently, iron status assessment in NHANES has used the total body iron stores (TBI) model,

87 ith Dutch Lipid Clinic criteria available in NHANES, affects 1 in 250 US adults.

88 r occupational factor variables available in NHANES.

89 ith increased urine total arsenic and DMA in NHANES 2003-2010, reflecting arsenic exposure.

90 participants >= 45 years of age enrolled in NHANES-III and NHANES 1999-2006, respectively.

91 take of US children aged 6-23 mo examined in NHANES 2009-2012 and compared them to age-specific DRIs

92 opulation represented by 3416 individuals in NHANES, the median weighted age was 53 years (interquart

93 37.8 mumol/L (95% CI: 36.4, 39.4 mumol/L) in NHANES 1999-2000 and 2009-2010, respectively.

94 ow that TFA concentrations were 54% lower in NHANES 2009-2010 than in NHANES 1999-2000.

95 ime, non-Hispanic Asians were oversampled in NHANES.

96 , and osteoporosis in the U.S. population in NHANES 2009-2010.

97 oup of fasted adults in the US population in NHANES samples from 1999-2000 and 2009-2010.Four major T

98 lates exposures among the U.S. population in NHANES, 2003-2010.

99 88 to 2006, the assessment of iron status in NHANES was based on the multi-indicator ferritin model.

100 s were 54% lower in NHANES 2009-2010 than in NHANES 1999-2000.

101 pregnant, nonlactating women aged >/=19 y in NHANES 2011-2012, a nationally representative, cross-sec

102 ,713 dentate participants aged >=30 years in NHANES 2009-2014 were used.

103 Protein, carbohydrate, and fat intake (NHANES 2009-2014) was 15.7 +/- 0.1, 48.1 +/- 0.1, and 32

104 ed data from NHANES; toddlers aged 12-23 mo (NHANES 2003-2010), nonpregnant females aged 15-49 y (NHA

105 from the most recent 2 years (2013-2014) of NHANES and data from 21,013 participants in previous NHA

106 pirical accuracy of 0.5-0.7% on the basis of NHANES data.

107 Based on extrapolations of NHANES physical examination data to all ages, we estimat

108 CI: 2.24 to 7.34) than the control group of NHANES participants.

109 n aged 50 years old or above participants of NHANES III with elevated IgA anti-tTG antibodies had inc

110 alysis included 27,468 adult participants of NHANES of which 363 tested positive for CHC.

111 d and adopted to allow the full potential of NHANES to be realized.

112 n model combined indirect standardization of NHANES-based prevalence with logistic regression modelin

113 nsion and BP in US adults through the use of NHANES 2007-2010 data.

114 cal accuracy of the equation with the use of NHANES data and performed a comparative analysis with pa

115 Three thousand two hundred seventy-one NHANES-III participants were included.

116 iomarkers in Asians with those of four other NHANES race/ethnic groups (white, black, Mexican America

117 es more frequently than NHANES participants, NHANES participants had more restored surfaces, especial

118 ve prevalence of VZV was 2.2% for the pooled NHANES sample.

119 nd data from 21,013 participants in previous NHANES surveys from 2005 through 2012.

120 ld standard not available in the more recent NHANES, and the noninvasive Fibrosis Score (FS), Fatty L

121 Results: NHANES included completed clinical evaluations from mobi

122 ticle highlights a) the extent to which U.S. NHANES chemical biomarker data have been evaluated, b) g

123 ormed to identify publications in which U.S. NHANES data were reported.

124 A small percentage of the sampled NHANES-related publications reported on chemical biomark

125 Cross-sectional NHANES data do not support the hypothesis of a positive

126 In the cross-sectional NHANES, serum and red blood cell (RBC) folate were first

127 Based on serial NHANES surveys from 1999 to 2016, the estimated overall

128 Setting: NHANES (National Health and Nutrition Examination Survey

129 Seven NHANES cycles were included (1999-2000 to 2011-2012), an

130 uded 3,624 participants in the United States NHANES 2013 to 2014.

131 re: nonsmoking workers in the United States (NHANES 2001-2010).

132 mong Asian populations in the United States: NHANES 2011-2012.

133 mong Asian populations in the United States: NHANES 2011-2012.

134 onal Health and Nutrition Examination Study (NHANES III) cohort, which included 13,504 participants w

135 onal Health and Nutrition Examination Study (NHANES) from 1999-2004.

136 Supporting NHANES analyses showed that fasting glucose levels of ob

137 nal Health and Nutrition Examination Survey (NHANES 2003-2010).

138 nal Health and Nutrition Examination Survey (NHANES 2005-2006) participants >/= 12 years old (n = 2,8

139 nal Health and Nutrition Examination Survey (NHANES 2013-2016) and longitudinal analyses of the Ather

140 nal Health and Nutrition Examination Survey (NHANES I) cohort (1971-1975) and 6329 from the NHANES II

141 nal Health and Nutrition Examination Survey (NHANES III).

142 nal Health and Nutrition Examination Survey (NHANES III).

143 nal Health and Nutrition Examination Survey (NHANES waves 2001 to 2002, 2003 to 2004, and 2011 to 201

144 nal Health and Nutrition Examination Survey (NHANES) (1999-2006).

145 nal Health and Nutrition Examination Survey (NHANES) (n = 4970) and 2010 (n = 27 157) and 2012 (n = 3

146 nal Health and Nutrition Examination Survey (NHANES) (n = 7,252), statistically adjusting for immune

147 nal Health and Nutrition Examination Survey (NHANES) 1999 to 2004.

148 nal Health and Nutrition Examination Survey (NHANES) 1999-2004, we examined cross-sectional associati

149 nal Health and Nutrition Examination Survey (NHANES) 1999-2004.

150 nal Health and Nutrition Examination Survey (NHANES) 2005-2006 (n=6,254) and the Agricultural Lung He

151 nal Health and Nutrition Examination Survey (NHANES) 2009-2012, population counts from the 2010 US ce

152 nal Health and Nutrition Examination Survey (NHANES) 2009-2014, policy effects and diet-disease effec

153 nal Health and Nutrition Examination Survey (NHANES) 2011 to 2012 were analyzed.

154 nal Health and Nutrition Examination Survey (NHANES) 2011-2012.

155 nal Health And Nutrition Examination Survey (NHANES) 2013-14, a cross-sectional survey of the US popu

156 l Health and Nutritional Examination Survey (NHANES) 2013-2014.

157 nal Health and Nutrition Examination Survey (NHANES) and NHANES III (1988-1994).

158 nal Health and Nutrition Examination Survey (NHANES) between 1999 and 2008 with recorded near visual

159 nal Health and Nutrition Examination Survey (NHANES) cohort.

160 nal Health and Nutrition Examination Survey (NHANES) collected between 1999 and 2012.

161 nal Health and Nutrition Examination Survey (NHANES) collected between 2001 and 2012 (with 2 years pe

162 nal Health and Nutrition Examination Survey (NHANES) cross-sectional data (N = 19,225) generated US s

163 nal Health and Nutrition Examination Survey (NHANES) cycles (1999-2012).

164 nal Health and Nutrition Examination Survey (NHANES) cycles (1999-2016).

165 nal Health and Nutrition Examination Survey (NHANES) data (2009-2014) were used to assess statin elig

166 nal Health and Nutrition Examination Survey (NHANES) data from 2007-2008, 2009-2010, 2013-2014, and 2

167 nal Health and Nutrition Examination Survey (NHANES) data to estimate the prevalence of alcoholic fat

168 l Health and Nutritional Examination Survey (NHANES) data.

169 nal Health and Nutrition Examination Survey (NHANES) database.

170 nal Health and Nutrition Examination Survey (NHANES) database.

171 nal Health and Nutrition Examination Survey (NHANES) food ingestion rates.

172 nal Health and Nutrition Examination Survey (NHANES) for one decade (from survey years 2005/06 throug

173 nal Health and Nutrition Examination Survey (NHANES) from 1999-2012.

174 nal Health and Nutrition Examination Survey (NHANES) from 2001-2012 to assess the change in blood MTB

175 nal Health and Nutrition Examination Survey (NHANES) identified six similar types, that only lacked t

176 nal Health and Nutrition Examination Survey (NHANES) II, NHANES III Phase I and Phase II, and 1999-20

177 nal Health and Nutrition Examination Survey (NHANES) III (1988-1992) were available for 6032 individu

178 nal Health and Nutrition Examination Survey (NHANES) III and NHANES 1999 to 2004.

179 nal Health and Nutrition Examination Survey (NHANES) in the US (n = 2283).

180 nal Health and Nutrition Examination Survey (NHANES) included 7,173 and 8,678 participants >= 45 year

181 nal Health and Nutrition Examination Survey (NHANES) indicated approximately 3.6 million noninstituti

182 nal Health and Nutrition Examination Survey (NHANES) participants >/=20 years of age (n=36 949) were

183 nal Health and Nutrition Examination Survey (NHANES) samples a representative cross-section of the US

184 nal Health and Nutrition Examination Survey (NHANES) that included 30,673 children and adolescents.

185 nal Health and Nutrition Examination Survey (NHANES) to estimate the prevalence of HCV in the noninst

186 nal Health and Nutrition Examination Survey (NHANES) to identify combinations of chemicals that frequ

187 nal Health and Nutrition Examination Survey (NHANES) were analyzed.

188 nal Health and Nutrition Examination Survey (NHANES) were calculated by linking all foods consumed in

189 nal Health and Nutrition Examination Survey (NHANES) were used to develop mathematical models of sexu

190 nal Health and Nutrition Examination Survey (NHANES) who had complete data available (n = 14142), rep

191 nal Health and Nutrition Examination Survey (NHANES) who were evaluated for the presence or absence o

192 nal Health and Nutrition Examination Survey (NHANES) with BTEXS and 2,5-dimethylfuran signatures deri

193 nal Health and Nutrition Examination Survey (NHANES) with data from the USDA Food Composition Intake

194 nal Health and Nutrition Examination Survey (NHANES) with urine arsenic available and undetectable ur

195 nal Health and Nutrition Examination Survey (NHANES), 1988 to 1994.

196 nal Health and Nutrition Examination Survey (NHANES), 1988-1994, with up to 23 years of linked-mortal

197 nal Health and Nutrition Examination Survey (NHANES), 1999-2002, and the National Health and Aging Tr

198 nal Health and Nutrition Examination Survey (NHANES), a cross-sectional, nationally representative he

199 l Health and Nutritional Examination Survey (NHANES), including full-mouth, six-site periodontal prob

200 nal Health and Nutrition Examination Survey (NHANES), the estimated prevalence of hepatitis B surface

201 nal Health and Nutrition Examination Survey (NHANES).

202 nal Health and Nutrition Examination Survey (NHANES).

203 nal Health and Nutrition Examination Survey (NHANES).

204 nal Health and Nutrition Examination Survey (NHANES).

205 nal Health and Nutrition Examination Survey (NHANES).

206 nal Health and Nutrition Examination Survey (NHANES).

207 nal Health and Nutrition Examination Survey (NHANES).

208 nal Health and Nutrition Examination Survey (NHANES).

209 nal Health and Nutrition Examination Survey (NHANES).

210 nal Health and Nutrition Examination Survey (NHANES): 1988-1994 (21,260 persons); 1999-2008 (29,828);

211 nal Health and Nutrition Examination Survey (NHANES); mean concentrations of most PFASs declined from

212 nal Health and Nutrition Examination Survey (NHANES, n = 6963), a large cohort representative of the

213 nal Health and Nutrition Examination Survey (NHANES: 2001-2010).

214 nal Health and Nutrition Examination Survey (NHANES; 2005-2010; n = 9,316), an ongoing nationally rep

215 nal Health and Nutrition Examination Survey (NHANES; N = 44,732).

216 al Health and Nutrition Examination Surveys (NHANES) (2005-2006 and 2007-2008).

217 al Health and Nutrition Examination Surveys (NHANES) 2005-2008.

218 al Health And Nutrition Examination Surveys (NHANES) 2009-2012 cycles.

219 al Health and Nutrition Examination Surveys (NHANES) acquired between 2009 to 2012 and determine the

220 al Health and Nutrition Examination Surveys (NHANES) for the United States and for 1060 adults aged 4

221 Health and Nutritional Examination Surveys (NHANES), which include detailed information on HRBs and

222 missing dental surfaces more frequently than NHANES participants, NHANES participants had more restor

223 The NHANES collected surveys every 2 years from 2005 to 2016

224 The NHANES comprised 2975 respondents aged 60 years and olde

225 The NHANES database was queried for all men aged 18-59 years

226 The NHANES measured Digit Symbol Substitution Test (DSST) sc

227 The NHANES was composed of a civilian, noninstitutionalized

228 ere validated in 2 external cohorts: (1) the NHANES III (1988-1994) and NHANES 1999-2014 and (2) the

229 Biomonitoring surveys, such as the NHANES (National Health and Nutrition Examination Survey

230 ective population-based study defined by the NHANES conducted over the period 1999-2014 linked to US

231 duals aged 17 to 21 years represented by the NHANES sample, 483 500 (95% CI, 482 100-484 800) young p

232 During the NHANES 2013-2014, a total of 1868 men aged 18 to 59 year

233 ned in mobile examination centers during the NHANES 2013-2014.

234 ivariate log-linear regression model for the NHANES 2003-2004 data showed significantly higher blood

235 equal to 71% x 75% of those selected for the NHANES)] collected a complete initial 24-h specimen and

236 udy population included 9590 adults from the NHANES (mean [SD] baseline age, 49.6 [17.6] years; 5016

237 rts (2009 to 2010 and 2011 to 2012) from the NHANES (National Health and Nutrition Examination Survey

238 sectional serum and RBC folate data from the NHANES 1999-2016.

239 597 human blood MTBE concentrations from the NHANES 2001-2002 to 2011-2012 survey cycles.

240 Individuals from the NHANES 2003-2004 survey were stratified based on occupat

241 Data from the NHANES 2003-2010 were used to examine food sources of so

242 We used 2 d of dietary recall data from the NHANES 2007-2014 to replicate the crossover nutrition st

243 hemical-health impact relationships from the NHANES biomonitoring survey studies.

244 mortality-linked water intake data from the NHANES conducted in 1988-1994 and 1999-2004 for this pro

245 ANES I) cohort (1971-1975) and 6329 from the NHANES III cohort (1988-1994).

246 cluded n = 13,628 adults aged 20-90 from the NHANES III Linked Mortality File (1988-1994).

247 llion-1.8 million) persons excluded from the NHANES sampling frame have hepatitis C virus antibody, i

248 f hepatitis C that are not excluded from the NHANES sampling frame, were not addressed in this study.

249 on algorithm, and had complete data from the NHANES Smoking - Cigarette Use questionnaire.

250 emographic and behavioral variables from the NHANES were also correlated to these dietary carbon foot

251 nts are linked to adult MVMs reported in the NHANES 2003-2008 via the Dietary Supplement Ingredient D

252 up to 2 complete 24-h urine specimens in the NHANES 2014 and had data on overweight or obesity [body

253 were deemed feasible and implemented in the NHANES 2014 on a subsample of adults aged 20-69 y to ass

254 inition were 1.17 [95% CI, 0.87-1.56] in the NHANES [n = 1012 events] and 1.02 [95% CI, 0.92-1.14] in

255 at distance, near, and by self-report in the NHANES and by self-report alone in the NHATS.

256 5-2016, of students who were surveyed in the NHANES and were attending schools participating in the N

257 sis of 45,754 adults who participated in the NHANES from 1988-1994 through 2009-2010.

258 hildren and adolescents, aged 2-18 y, in the NHANES from 1999 to 2012 were included.

259 B-12 and MMA in adults participating in the NHANES from 2011 to 2014.

260 were the most significant ECG factors in the NHANES I cohort.

261 The equation was evaluated in the NHANES III cohort for an independent validation.

262 Follow-up in the NHANES III cohort was completed on December 31, 2006.

263 on of individuals aged 17 to 21 years in the NHANES population who were eligible for statin therapy,

264 6338 young people aged 17 to 21 years in the NHANES population, 2.5% (95% CI, 1.8%-3.2%) would qualif

265 The estimated prevalence of IDH in the NHANES was 6.5% by the 2017 ACC/AHA definition and 1.3%

266 In the NHANES, current history of asthma (1.33; 1.04-1.70; P =

267 In the NHANES, distance VI (beta = -5.1; 95% CI, -8.6 to -1.6;

268 valence of obesity in 2- to 19-y-olds in the NHANES, which is a study in which extreme values were ve

269 10-fold change in endotoxin; p=0.004) in the NHANES.

270 by hemoglobin levels for age and sex in the NHANES.

271 with age and sex, were incorporated into the NHANES ECG risk equation.

272 DE154 and BDE209 were detected in 60% of the NHANES 2011/12 and 2013/14 pools; only these two survey

273 Using the 2005-2008 waves of the NHANES as a model of population-based screening for eye

274 Approximately 25% of the NHANES population was not able to successfully complete

275 participants in the 2005-2008 cycles of the NHANES, which evaluated a sample of the noninstitutional

276 All data were weighted based on the NHANES multistage sampling design.

277 pproach and compare their performance on the NHANES physical activity dataset.

278 h (OR = 2.08; 95% CI: 1.29 to 2.79) than the NHANES participants.

279 ere is now interest in further utilizing the NHANES data to inform chemical risk assessments.

280 external validation using data from a third NHANES cohort (2013 to 2014; validation cohort [VC], n =

281 odel predictions, and models were applied to NHANES serum data to predict milk PBDE concentrations an

282 studies are addressing challenges related to NHANES data interpretation in health risk contexts.

283 %CI: -0.07, -0.03, p < 0.01), triglycerides (NHANES beta -0.039, 95%CI: -0.06, -0.01, p < 0.01), and

284 examination data from the cross-sectional US NHANES, 2009-2014 (n = 10,010), were used.

285 om nationally representative surveys: the US NHANES 2011-2012 (n = 7456) and the French Individual an

286 voluntary sodium standards for foods.We used NHANES 2007-2010 data for 17,933 participants aged >/=1

287 We used NHANES sampling weights to estimate the population preva

288 Three validation cohorts were used: NHANES (2009 to 2010 and 2011 to 2012) and the Piedmont

289 This study uses NHANES data to assess trends in obesity and severe obesi

290 This pharmacoepidemiology study uses NHANES data to characterize the prevalence and trends in

291 Using NHANES definitions, DME and CSME prevalences from monocu

292 A cross-sectional study was conducted using NHANES data from the 2009 to 2012 examination cycle.

293 s by 3 trained and calibrated dentists using NHANES protocols.

294 With NHANES, we compared survey-weighted energy intakes for 2

295 similar TDS food and used these, along with NHANES food intake data, to develop 4 estimates of each

296 is important to note that in comparison with NHANES participants, nonfarmworkers and their families s

297 eumonia during a median follow-up of 17.3 y (NHANES-III, based on creatinine-corrected urine cadmium)

298 atinine-corrected urine cadmium) and 11.4 y (NHANES 1999-2006, based on blood cadmium).

299 07-2010), and pregnant females aged 12-49 y (NHANES 1999-2010).

300 003-2010), nonpregnant females aged 15-49 y (NHANES 2007-2010), and pregnant females aged 12-49 y (NH