In general, the indicators should be designed to translate complex scientific information into short and clear messages and make it accessible to policy makers but also to a broader audience such as stakeholders (e.g. NGO's), other scientists and the general public. Based on harmonized data ...
NHANESRepublic of IrelandThis study examines the distribution of proximal femur bone mineral density in a cohort of healthy Irish adults. These values are similar to those of the NHANES III Caucasian cohorts, supporting international recommendations to use this reference group for calculating DXA T-...
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We can use the rename function with the SAS dataset for the column variables from the NHANES data, but the data code is registered incorrectly. The specified column names are so long, and it’s nearly impossible to recode the data from one format to another more straightforward format. Respon...
Consequently, the typical consumer may not understand the inputs farmers use and the decisions farmers face to produce food. For example, farmers analyze a variety of data to make as many as 40 decisions each growing season—decisions about the type of seed to plant, irrigation to utilize, ...
If you are working with survey data that have been svyset previously, generating a table of descriptive statistics for these data is straightforward. Simply use the svy option with dtable. There is no need to respecify the survey weights with dtable. Then all the statistics are calculated ...
If you are not familiar with Table 1, it is used in research to describe the characteristics of the study population, such as calculating means, standard deviations, and proportions for categorical data. Load the libraries library(tidyverse) library(RNHANES) library(tableone) library(labelled...
In this post, I will explain what the z-score means, how it is calculated with an example, and how to create a new z-score variable in R. As usual, I will use the data from National Health and Nutrition Examination Survey (NHANES). What is Z-score In short, the z-score is a...
In this interesting use of the large NHANES dataset, the authors found caffeine intake (mostly from coffee) correlated with erectile dysfunction. Over 2 cups per day seemed to have the most protective effect. This is after adjusting for likely confounders. This is an observational study of a la...
We performed a cross-sectional analysis of the NHANES database from 2005 to 2016, which assessed the intake of micro and macronutrients from food and food plus supplements among individuals 19+ years who self-reported various sleep issues. The sample size for this study was more than 26,000 ...