Results 191 to 200 of about 165,956 (368)

Association of individual and community factors with C-reactive protein and 25-hydroxyvitamin D: Evidence from the National Health and Nutrition Examination Survey (NHANES)

, 2016
Weiwen Chai, Jessie X. Fan, Ming Wen
openalex   +1 more source

Cross‐Sectional Associations of Body Mass Index With Disability Across High‐ and Middle‐Income Countries in 2002–2006 and 2015–2018

Obesity Reviews, EarlyView.
ABSTRACT Introduction We examined the cross‐sectional association of BMI with limitations in instrumental (IADL) and basic (ADL) activities of daily living in surveys from middle‐ and high‐income countries in 2015–2018; we also compared changes in these associations from 2002–2006 to 2015–2018.
Marcos D. Machado‐Fragua, Séverine Sabia, Aurore Fayosse, Gabriella C. Silva, Benjamin Landré, Archana Singh‐Manoux   +5 more
wiley   +1 more source

Causal Association Between Endometriosis and Coronary Heart Disease: Evidence from the National Health and Nutrition Examination Survey and Mendelian Randomization Analysis

International Journal of Women's Health
Wenting Xu,1 Yanxing Huang,2 Ping Ji,2 Jiayu Wang,2 Jinfen Yu,2 Li Yang2 1Department of Reproduction, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, Jiangsu, People’s Republic of China; 2Department of ...
Xu W, Huang Y, Ji P, Wang J, Yu J, Yang L   +5 more
doaj  

Development of a tool to measure the number of foods and beverages consumed by children using National Health and Nutrition Examination Survey (NHANES) FFQ data [PDF]

, 2018
Kelly Tanner, Rosanna P. Watowicz
openalex   +1 more source

Causal Inference and Survey Data in Paediatric Epidemiology: Generalising Treatment Effects From Observational Data

Paediatric and Perinatal Epidemiology, EarlyView.
ABSTRACT Background Survey data are essential in paediatric epidemiology, providing valuable insights into child health outcomes. The potential outcomes framework has advanced causal inference using observational data. However, traditional design‐based adjustments, especially sample weights, are often overlooked.
Lizbeth Burgos‐Ochoa, Felix J. Clouth
wiley   +1 more source

The relationship of cardiometabolic index with bowel movement frequency: an NHANES-based cross-sectional analysis [PDF]

Qiaoqiao Ren, Yanan Wang, Xiaoxu Han, Qingyi Wang, Guoying Liang   +4 more
openalex   +1 more source

Correction to "Dietary Antioxidant Quality Score and Epilepsy Odds in the US Adults: a Cross-Sectional NHANES Study". [PDF]

Brain Behav
Brain and Behavior, Volume 15, Issue 12, December 2025.
europepmc   +2 more sources

Application of multiview techniques to NHANES dataset

, 2016
Disease prediction or classification using health datasets involve using well-known predictors associated with the disease as features for the models. This study considers multiple data components of an individual's health, using the relationship between variables to generate features that may improve the performance of disease classification models ...
openaire   +2 more sources

Impact of public health and patient‐centered prevention strategies on periodontitis and caries as causes of tooth loss in high‐income countries

Periodontology 2000, EarlyView.
Abstract In high‐income countries, the oral health of the population is influenced by public health interventions, widespread use of oral care products, dental practice measures, and the cost of dental treatment. We compiled information on changes of the prevalence of proximal and upstream determinants of periodontitis, caries, and tooth loss over the ...
Thomas Kocher, Peter Meisel, Sebastian Baumeister, Birte Holtfreter   +3 more
wiley   +1 more source

Food insecurity is associated with chronic disease among low-income NHANES participants.

Journal of NutriLife, 2010
H. Seligman, B. Laraia, M. Kushel
semanticscholar   +1 more source