Dietary index for gut microbiota and its protective role against osteoporosis: Evidence from NHANES 2007 to 2018.

Each unit increase in DI-GM was associated with a 10% reduction in the risk of osteoporosis.

• Adjusted OR = 0.90, 95% CI: 0.83–0.99
• Analysis was conducted using weighted multivariable logistic regression models
• Cross-sectional analysis included 9065 U.S. adults using NHANES 2007–2018 data
• Osteoporosis was the primary outcome

Higher intake of DI-GM-beneficial dietary components was associated with reduced osteoporosis risk.

• OR: 0.88; 95% CI: 0.79–0.98
• DI-GM was calculated from dietary intake data
• The association was evaluated using weighted multivariable logistic regression

LASSO regression identified soy, fermented dairy, and processed meat as the most influential dietary factors for osteoporosis risk.

• Least absolute shrinkage and selection operator (LASSO) regression was applied to identify critical dietary components
• Higher intake of soybeans was associated with a decreased risk of osteoporosis
• Higher intake of fermented dairy was associated with a decreased risk of osteoporosis
• Higher processed meat intake was associated with an increased risk of osteoporosis

A prediction model integrating clinical and nutritional factors demonstrated good discrimination for osteoporosis risk.

• Area under the curve (AUC) = 0.757
• Model was evaluated using receiver operating characteristic (ROC) curve analysis
• The model incorporated both dietary and clinical factors
• The model was described as supporting 'individualized dietary risk stratification and prevention strategies'

The study was a cross-sectional analysis of U.S. adults using NHANES data from 2007 to 2018.

• Total sample size was 9065 adults
• Data spanned six NHANES cycles from 2007 to 2018
• DI-GM was calculated from dietary intake data collected in NHANES
• Weighted multivariable logistic regression was used to account for the complex survey design