These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES).

This is the age, height, and weight data extracted from the NHANES 2017-2018 survey dataset. The original data were BMX_J.xpt (see https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Examination&CycleBeginYear=2017) and DEMO_J.xpt (see https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Demographics&CycleBeginYear=2017). I used Linux Mint 20 to get the CSV files from the above XPT files. First, I installed the R foreign package by the next command. $ sudo apt install r-cran-foreign Then, I developed two R scripts to extract the CSV data. The scripts are attached to this dataset. For analysis of the CSV file, I used the following commands within the R environment.

data h =20 & data$age w =20 & data$age wt ht model summary(model) Call: lm(formula = wt ~ ht) Residuals: Min 1Q Median 3Q Max -0.29406 -0.07182 -0.00558 0.06514 0.47048 Coefficients: Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.46404 0.01423 102.90

Users can download reports, data tables and data sets to gain information regarding Americans' nutrition and health statuses. BackgroundThe National Health and Nutrition Examination Survey (NHANES) is part of the National Center for Health Statistics at the Centers for Disease Control and Prevention (CDC). It is an annual survey that reports on Americans' nutrition and health statuses and uses that information to determine prevalence estimates and understand health trends. NHANES developed growth charts that are used to track the physical development of infants and children, and it has contributed to im provements in food and health care in the United States. Information includes: diet, weight according to sex, age, race, ethnicity and age; disease history; serum cholesterol levels; depression; breastfeeding; intake of calories and nutrients, and much more. User Functionality The website offers extensive tutorials to help users navigate and download the NHANES datasets. Datasets can be downloaded as SAS transport files, which can be downloaded into SAS, SPSS, and SUDAN. The datasets can also be converted to be read as Excel files. From the website, static data reports and tables are also available for download, and investigators can apply to get access to the non-publicly released data sets. Data Notes The survey co nsists of an interview and a health examination by a trained physician. Participants are considered to be a nationally representative sample. Data is available from the first NHANES in 1971 to the present. The survey is continuous, and data is released as it becomes available, with the most recent data from 2008.

The National Health and Nutrition Examination Surveys (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The NHANES combines personal interviews and physical examinations, which focus on different population groups or health topics. These surveys have been conducted by the National Center for Health Statistics (NCHS) on a periodic basis from 1971 to 1994. In 1999 the NHANES became a continuous program with a changing focus on a variety of health and nutrition measurements which were designed to meet current and emerging concerns. The surveys examine a nationally representative sample of approximately 5,000 persons each year. These persons are located in counties across the United States, 15 of which are visited each year. For NHANES 2007-2008, there were 12,946 persons selected for the sample, 10,149 of those were interviewed (78.4 percent) and 9,762 (75.4 percent) were examined in the mobile examination centers (MEC). Many of the NHANES 2007-2008 questions were also asked in NHANES II 1976-1980, Hispanic HANES 1982-1984, NHANES III 1988-1994, and NHANES 1999-2006. New questions were added to the survey based on recommendations from survey collaborators, NCHS staff, and other interagency work groups. As in past health examination surveys, data were collected on the prevalence of chronic conditions in the population. Estimates for previously undiagnosed conditions, as well as those known to and reported by survey respondents, are produced through the survey. Risk factors, those aspects of a person's lifestyle, constitution, heredity, or environment that may increase the chances of developing a certain disease or condition, were examined. Data on smoking, alcohol consumption, sexual practices, drug use, physical fitness and activity, weight, and dietary intake were collected. Information on certain aspects of reproductive health, such as use of oral contraceptives and breastfeeding practices, were also collected. The diseases, medical conditions, and health indicators that were studied include: anemia, cardiovascular disease, diabetes and lower extremity disease, environmental exposures, equilibrium, hearing loss, infectious diseases and immunization, kidney disease, mental health and cognitive functioning, nutrition, obesity, oral health, osteoporosis, physical fitness and physical functioning, reproductive history and sexual behavior, respiratory disease (asthma, chronic bronchitis, emphysema), sexually transmitted diseases, skin diseases, and vision. The sample for the survey was selected to represent the United States population of all ages. The NHANES target population is the civilian, noninstitutionalized United States population. Beginning in 2007, some changes were made to the domains being oversampled. The primary change is the oversampling of the entire Hispanic population instead of just the Mexican American (MA) population, which has been oversampled since 1988. Sufficient numbers of MAs were retained in the sample design so that trends in the health of MAs can continue to be monitored. Persons 60 years of age and older, Blacks, and low income persons were also oversampled. In addition, for each of the race/ethnicity domains, the 12-15 and 16-19 year age domains were combined and the 40-59 year age minority domains were split into 10-year age domains of 40-49 and 50-59. This has led to an increase in the number of participants aged 40 and older and a decrease in 12- to 19-year-olds from previous cycles. The oversample of pregnant women and adolescents in the survey from 1999-2006 was discontinued to allow for the oversampling of the Hispanic population. NCHS is working with public health agencies to increase knowledge of the health status of older Americans. NHANES has a primary role in this endeavor. In the examination, all participants visit the physician who takes their pulse or blood pressure. Dietary interviews and body measurements are included for everyone. All but the very young have a blood sample taken and see the dentist. Depending upon the age of the participant, the rest of the examination includes tests and procedures to assess the various aspects of health listed above. Usually, the older the individual, the more extensive the examination. Demographic data file variables are grouped into three broad categories: (1) Status Variables: Provide core information on the survey participant. Examples of the core variables include interview status, examination status, and sequence number. (Sequence number [SEQN] is a unique ID number assigned to each sample person and is required to match the information on this demographic file to the rest of the NHANES 2007-2008 data.) (2) Recoded Demographic Variables: The variables include age (age in months for persons under age 80, age in years for 1 to 80-year-olds, and a top-coded age group of 80 years and older), gender, a race/ethnicity variable, an current or highest grade of education completed, (less than high school, high school, and more than high school education), country of birth (United States, Mexico, or other foreign born), ratio of family income to poverty threshold, income, and a pregnancy status variable (adjudicated from various pregnancy-related variables). Some of the groupings were made due to limited sample sizes for the two-year dataset. (3) Interview and Examination Sample Weight Variables: Sample weights are available for analyzing NHANES 2007-2008 data. Most data analyses require either the interviewed sample weight (variable name: WTINT2YR) or examined sample weight (variable name: WTMEC2YR). The two-year sample weights (WTINT2YR, WTMEC2YR) should be used for NHANES 2007-2008 analyses.

Improving diet quality while simultaneously reducing environmental impact is a critical focus globally. Metrics linking diet quality and sustainability have typically focused on a limited suite of indicators, and have not included food waste. To address this important research gap, we examine the relationship between food waste, diet quality, nutrient waste, and multiple measures of sustainability: use of cropland, irrigation water, pesticides, and fertilizers. Data on food intake, food waste, and application rates of agricultural amendments were collected from diverse US government sources. Diet quality was assessed using the Healthy Eating Index-2015. A biophysical simulation model was used to estimate the amount of cropland associated with wasted food. This analysis finds that US consumers wasted 422g of food per person daily, with 30 million acres of cropland used to produce this food every year. This accounts for 30% of daily calories available for consumption, one-quarter of daily food (by weight) available for consumption, and 7% of annual cropland acreage. Higher quality diets were associated with greater amounts of food waste and greater amounts of wasted irrigation water and pesticides, but less cropland waste. This is largely due to fruits and vegetables, which are health-promoting and require small amounts of cropland, but require substantial amounts of agricultural inputs. These results suggest that simultaneous efforts to improve diet quality and reduce food waste are necessary.. Increasing consumers’ knowledge about how to prepare and store fruits and vegetables will be one of the practical solutions to reducing food waste. Relationship between food waste, diet quality, and environmental sustainability

This dataset tracks the updates made on the dataset "Digitized NHANES II X-ray Films" as a repository for previous versions of the data and metadata.

aAll n  =  6603 (except transferrin receptor).bThe n for the imputed mean for transferrin receptor is 3295; based on 2003–2006 survey years only.cAll variables were available in original data set, so no 95% CI were generated by PROC MIANALYZE.Weighted descriptive statistics for study variables for women aged 18–49 who participated in the NHANES physical examination during 1999–2006, before and after multiple imputation of missing values.

[Note: Integrated as part of FoodData Central, April 2019.] USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food and beverages consumed in What We Eat In America (WWEIA), National Health and Nutrition Examination Survey (NHANES) into gram amounts and to determine their nutrient values. Because FNDDS is used to generate the nutrient intake data files for WWEIA, NHANES, it is not required to estimate nutrient intakes from the survey. FNDDS is made available for researchers using WWEIA, NHANES to review the nutrient profiles for specific foods and beverages as well as their associated portions and recipes. Such detailed information makes it possible for researchers to conduct enhanced analysis of dietary intakes. FNDDS can also be used in other dietary studies to code foods/beverages and amounts eaten and to calculate the amounts of nutrients/food components in those items.
FNDDS is released every two-years in conjunction with the WWEIA, NHANES dietary data release. The FNDDS is available for free download from the FSRG website. Resources in this dataset:Resource Title: Website Pointer to Food and Nutrient Database for Dietary Studies. File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fndds/ USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food and beverages consumed in What We Eat In America (WWEIA), National Health and Nutrition Examination Survey (NHANES) into gram amounts and to determine their nutrient values.

After decades-old efforts to nudge consumers towards healthier lifestyles through dietary guidelines, diet-related diseases are on the rise. In addition, a growing share of U.S. consumers proactively chooses nutritional supplements as an alternative preventative way of maintaining good health, a $25.5 billion industry in the United States. This paper investigates possible linkages between the economics of consumer supplement choices and the relationship to important dietary and health outcomes. We use National Health and Nutrition Examination Survey (NHANES) data to estimate the impact of nutritional supplements intake on respondent’s body weight outcomes, controlling for diet quality.: The focus of this article is to determine whether nutritional supplements takers differ from non-takers with regard to their health outcomes when controlling for differences in diet quality, based on individual Healthy Eating Index (HEI-2010) score. The analysis applies treatment effects estimators that account for the selection bias and endogeneity of self-reported behavior and diet-health outcomes. The analysis demonstrates a negative association between supplement intake and BMI but no significant effect on an individual’s diet quality. Our findings suggest that individuals proactively invest into their health by taking nutritional supplements instead of improving diet quality through more nutritious food choices. Our results provide important contributions to the literature on a key food policy issue. Knowledge of the determinants of supplement demand in the context of strong diet-health trends should also be helpful to stakeholders in the U.S. produce sector in their competition over consumer market share.

BackgroundMetabolic syndrome (MetS) and sarcopenia (SP) have emerged as significant public health concerns in contemporary societies, characterized by shared pathophysiological mechanisms and interrelatedness, leading to profound health implications. In this prospective cohort study conducted within a US population, we aimed to examine the influence of MetS and SP on all-cause and cardiovascular mortality.MethodsThis study analyzed data from the National Health and Nutrition Examination Survey (NHANES) III for the years 1999-2006 and 2011-2018, and death outcomes were ascertained by linkage to National Death Index (NDI) records through December 31, 2019. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for all-cause and cardiovascular mortality. In addition, subgroup and sensitivity analyses were conducted to test the robustness of the results.ResultsOver a median follow-up period of 13.3 years (95% CI: 12.8-13.8), 1714 deaths were observed. The groups characterized by MetS−/SP+, MetS+/SP−, and MetS+/SP+ exhibited higher all-cause mortality rates in comparison to the MetS-/SP- group, with the MetS+/SP+ group (HR 1.76, 95% CI: 1.37-2.25) displaying the highest all-cause mortality. Increased cardiovascular mortality was observed in the MetS+/SP− (HR 1.84, 95% CI: 1.24-2.72), and MetS+/SP+ groups (HR 2.39, 95% CI: 1.32-4.35) compared to the MetS−/SP− group, whereas it was not statistically significant in the MetS-/SP+ group. However, among males and individuals aged < 60, the presence of both MetS and SP (MetS+/SP+ group) was found to be significantly associated with a higher risk of all-cause and cardiovascular mortality.ConclusionThe coexistence of MetS and SP increased the risk of all-cause and cardiovascular mortality, particularly in males and in nonelderly populations. Individuals with either MetS or SP may require more careful management to prevent the development of other diseases and thereby reduce mortality.

BackgroundAt present, the role of uric acid in mental disorders is receiving increasing attention, but its relationship with depression is controversial, and previous studies have corresponding limitations. The relationship between them has not been fully elucidated.ObjectiveThe purpose of this study is to explore the relationship between uric acid and depression in American adults using data from the National Health and Nutrition Examination Survey (NHANES).MethodsThis cross-sectional study included participants from the National Health and Nutrition Examination Survey 2011-2020. Use logistic regression and restricted cubic spline analysis to investigate the relationship between uric acid and depression. The interactions between variables were determined using subgroup analysis and described in a forest plot.Results37033 participants were included in this study, with depression patients accounting for 8.95%. The uric acid levels in the depression group and nondepression group were 317.69 μ mol/L and 323.34 μ mol/L, respectively, with the former having significantly lower uric acid levels than the latter. In the fully adjusted model, participants in the third tertile of uric acid showed a significant correlation (P=0.002, OR; 0.85 (0.76 ~ 0.94)) with a higher risk of depression compared to participants in the first tertile. There is an approximately linear negative correlation between uric acid and depression (P for nonlinear=0.360), and the OR value of uric acid is 1 when the uric acid value is 312.20 μ mol/L.ConclusionsCurrent research suggests that serum uric acid is associated with depression in American adults. More discoveries and causal relationships require further investigation.

ObjectiveThere is limited evidence on the association between total serum protein (TP), serum globulin (GLB), and Methicillin-Resistant Staphylococcus aureus (MRSA) nasal colonization. The purpose of this study was to investigate the association between TP, GLB, and MRSA nasal colonization in US adults with data derived from the National Health and Nutrition Examination Survey (NHANES).MethodsUsing NHANES 2001–2004 data, we employed propensity score matching (PSM) to control confounders, weighted logistic regression to evaluate associations of TP and GLB with MRSA colonization, restricted cubic splines (RCS) for non-linear analysis, and subgroup and sensitivity analyses for validation.ResultsAmong 7,585 adults, 1.31% (n = 99) had MRSA nasal colonization. Adjusted multivariable regression identified TP and GLB as independent protective factors (TP: OR=0.92, 95%CI 0.88–0.96; GLB: OR=0.91, 95%CI 0.86–0.97; p< 0.05 for all). Categorizing TP and GLB into quartiles (Q4 vs. Q1) reinforced this association (TP: OR=0.21, 95%CI 0.07–0.59; GLB: OR=0.28, 95%CI 0.12–0.67; p< 0.05 for all) with consistent results post-PSM. Restricted cubic splines confirmed dose-dependent negative correlations. Subgroup analyses and sensitivity analyses supported the robustness of these findings.ConclusionThere was a negative correlation between TP, GLB, and MRSA nasal colonization in participants aged 18 years or older. Our data support the protective role of TP and GLB in MRSA colonization, and the specific mechanisms of these biomarkers in MRSA colonization and their clinical implications require further investigation.

ObjectiveThis study aimed to evaluate the relationship between the weight-adjusted waist circumference index (WWI) and the frailty in American adults aged over 60 years.MethodsWe utilized data from the National Health and Nutrition Examination Surveys (NHANES) spanning from 2007 to 2018. WWI was calculated using the square root of waist circumference (cm) divided by body weight (kg). The frailty index ≥ 0.25 was employed to assess frailty. Weighted multivariate logistic regression was conducted to explore the association between WWI and frailty. Generalized Additive Modeling (GAM) was used to explore potential non-linear relationships. Receiver operating characteristic curve (ROC) analysis was used to assess the predictive ability of WWI for frailty.ResultsThe study encompassed 7765 participants. Higher WWI was significantly associated with higher odds of frailty. In the fully adjusted model, each unit increase of WWI was associated with an 82% increased odds of frailty (OR: 1.82, 95% CI: 1.61 – 2.06; P < 0.001). GAM found significant nonlinear relationships and threshold effects.ConclusionThe study presented a robust correlation between elevated WWI and increased odds of frailty among American older adults. However, these findings require further validation in large-scale, prospective studies.

BackgroundCoronary artery calcification and cardiovascular disease are associated with elevated levels of atherogenic plasma index (AIP). However, the relationship with abdominal aortic calcification (AAC) remains unclear. This study aimed to explore the association between AIP and AAC using the National Health and Nutrition Examination Survey (NHANES) database.MethodsA cross-sectional analysis was conducted on 2,811 individuals aged 40 years or older from the 2013–2014 NHANES dataset. Participants with missing AAC-24 scores, AIP data, or covariate information were excluded. AAC was quantified using the Kauppila score (AAC-24), with a score > 0 indicating the presence of AAC, and severe AAC (SAAC) being defined as an AAC-24 score ≥ 6. Multivariable regression models and restricted cubic spline analyses were employed to assess the associations between AIP and AAC. Sensitivity analysis was used to validate the robustness of the findings.ResultsThe study population had a mean age of 57.7 years, with 48.22% being male. A significant positive association was found between AIP and both the AAC score and the risk of AAC and SAAC, particularly in females. For the overall population, each unit increase in AIP was associated with an overall increase in AAC-24 score of 0.90 (95% CI: 0.22, 1.58; p = 0.009), and for women, the AAC risk and SAAC risk would be 4.01-fold higher (95% CI: 1.65, 9.74; p = 0.002) and 9.37-fold higher (95% CI: 2.37, 37.03; p = 0.001). No significant associations were found in males. Further analysis revealed a significant interaction between AIP and gender regarding both AAC scores and the risk of SAAC.ConclusionsThis study demonstrates a positive relationship between AIP and increased AAC scores, as well as a higher risk of AAC and SAAC in U.S. women. However, these findings require further investigation to confirm the observed gender-specific differences.

BackgroundOnly a few studies that investigated dietary intakes of folate, vitamin B6, and vitamin B12 in relation to cariovascular disease (CVD). This study aimed to assess the association of dietary folate, vitamin B6, and vitamin B12 with CVD in the United States population.MethodsA cross-sectional analysis of 65,322 adults aged ≥ 20 years who participated in the Third National Health and Nutrition Examination Survey (NHANES III) and NHANES 1999–2018. Before 2003, dietary intake data were assessed using a 24-hour dietary call, and two 24-hour dietary calls were used during 2003 and 2018. Odds ratios and 95% confidence intervals (CIs) for CVD associated with dietary folate, vitamin B6, and vitamin B12 were estimated using multivariate logistic regression models.ResultsDietary vitamin B6 intake were inversely associated with the odds of CVD. In males, the multivariable OR for the highest vs. lowest quartiles of vitamin B6 was 0.77 (95%CI: 0.61–0.97, Ptrend = 0.013) for the odds of CVD. In females, the adjusted OR for the highest quartile of vitamin B6 compared with the lowest quartile was 0.73 (95%CI: 0.56–0.95, Ptrend = 0.038) for the odds of CVD. No significant association was observed between dietary folate and vitamin B12 intakes and the odds of CVD.ConclusionsOur findings indicate that higher intake of dietary vitamin B6 may be associated with lower prevalence of CVD, suggesting that dietary vitamin B6 has major public health implications in the prevention of CVD in the United States population.