National health and nutrition examination survey: analytic guidelines, 1999-2010.

By Clifford L. Johnson, R. Paulose‐Ram, Cynthia L Ogden, M. Carroll, D. Kruszon-Moran, Sylvia Dohrmann, L. Curtin. Vital and health statistics. Series 2, Data evaluation and methods research, 2013

1,455 citations recorded by the source corpus.

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Citations in the corpus

Update on NHANES Dietary Data: Focus on Collection, Release, Analytical Considerations, and Uses to Inform Public Policy (2016, methodology): “Thus, special dietary weights are computed for each survey cycle that adjust for the differences in the proportion of recalls on weekdays compared with weekend days, and these weights should be used in analysis of the WWEIA-NHANES data (9, 12, 13).”
The Recent Prevalence of Osteoporosis and Low Bone Mass in the United States Based on Bone Mineral Density at the Femoral Neck or Lumbar Spine (2014, background): “(42) Although all races and ethnic groups were included in the estimates for the total population, we were not able to estimate the specific prevalence of osteoporosis and low bone mass in Asians or Hispanic groups other than Mexican Americans, as NHANES 2005–2010 can provide estimates by race or et”
Ultra-processed foods and added sugars in the US diet: evidence from a nationally representative cross-sectional study (2016, methodology): “14 The NHANES sample was obtained by using a complex, strati ﬁ ed, multistage probability cluster sampling design based on the selection of counties, blocks, households and the number of people within households.”
Trends in Obesity Prevalence Among Children and Adolescents in the United States, 1988-1994 Through 2013-2014 (2016, background): “39 Estimates based on 4 years of data have a greater number of degrees of freedom, larger sample sizes (denominators), and greater numbers of cases (numerator), and are therefore more stable than the estimates based on 2 years of data, particularly when examining subgroups.”
Trends in Prescription Drug Use among Adults in the United States from 1999–2012 (2015, unknown): “0] Government only 872 544 (64) [59-70] 201 (21) [17-25] Any private insurance 2175 1110 (57) [54-60] 171 (9.”