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Lipid_Accumulation_Gallstone_Risk_NHANES_datasets_and_variables_description.zip

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DataCite Commons2025-06-01 更新2024-11-06 收录
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Data for this study were derived from the National Health and Nutrition Examination Survey (NHANES) 2017–2020 cycle. The dataset includes original variables extracted from NHANES, processed variables, and the final variables selected for analysis. Participants were asked about their history of gallstones, resulting in an initial enrollment of 15,560 individuals. After applying inclusion and exclusion criteria, 3,294 participants were included in the final analysis.Gallstones were identified through the question, "Has a doctor ever told you that you have gallstones?"Anthropometric MeasuresAnthropometric measures, including waist circumference (WC) measured in centimeters and body mass index (BMI), were obtained by trained technicians at mobile examination centers. LAP was calculated using WC and triglyceride (TG) levels. Weight status was categorized into < 25.0 kg/m², 25.0–29.9 kg/m², and ≥ 30.0 kg/m².Covariates Included:Demographic Variables: Age (years, categorized into 20–39, 40–59, and ≥ 60), sex (male, female), and race (Non-Hispanic White, Non-Hispanic Black, other).Education: Classified as less than college or college and above.Alcohol Intake: Defined based on questionnaire responses regarding the frequency and quantity of alcohol consumption.Leisure Time Physical Activity: Measured in minutes and MET (Metabolic Equivalent of Task).Chronic Conditions: Including diabetes (defined by HbA1c levels or self-reported diagnosis) and hypertension (defined by blood pressure readings or self-reported diagnosis).Medication Use: Including cholesterol-lowering and triglyceride-lowering medications (yes/no).Dietary Variables: Total omega-3 fatty acid intake (TotalOmega) was calculated by summing three specific dietary variables: DR1TP205, DR1TP225, and DR1TP226, which represent different sources of omega-3 fatty acids. Other dietary variables were directly obtained from NHANES original datasets. To reduce the impact of multicollinearity, total energy intake, total dietary fiber intake, and total monounsaturated fatty acid intake were standardized using Z-score normalization (mean = 0, standard deviation = 1) and subsequently transformed into two principal components (PC1 and PC2) through principal component analysis (PCA).A detailed variable description document is provided alongside the dataset.Statistical AnalysisTo address the non-normal distribution of LAP and BMI, log transformations were performed: Ln-LAP was calculated using the formula ln⁡(LAP+0.8532+1)ln(LAP+0.8532+1) and Ln-BMI was calculated using the natural logarithm of BMI. Statistical analyses were performed using R version 4.4.0, employing appropriate sampling weights and conducting multivariable regression models to evaluate the association between LAP and gallstone risk.
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figshare
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2024-10-23
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