Healthy eating index-2015 and its association with the prevalence of stroke among US adults.

This study aims to investigate the relationship between the healthy eating index (HEI) and the prevalence of stroke within a diverse United States population. Employing a cross-sectional design, we utilized data sourced from the National Health and Nutrition Examination Survey (NHANES). Dietary information was collected from participants and HEI scores were computed. NHANES employed stratified multistage probability sampling, with subsequent weighted analysis following NHANES analytical guidelines. Thorough comparisons were made regarding the baseline characteristics of individuals with and without stroke. Weighted multivariable logistic regression analysis and restricted cubic spline (RCS) methods were employed to ascertain the association between stroke risk and HEI, with LASSO regression utilized to identify dietary factors most closely linked to stroke risk. Additionally, we constructed a nomogram model incorporating key dietary factors and assessed its discriminatory capability using the receiver operating characteristic (ROC) curve. Our study encompassed 43,978 participants, representing an estimated 201 million U.S. residents. Participants with a history of stroke exhibited lower HEI scores than their non-stroke counterparts. Logistic regression analysis demonstrated a robust association between lower HEI scores and stroke, even after adjusting for confounding variables. RCS analysis indicated a nonlinear negative correlation between HEI and stroke risk. Furthermore, detailed subgroup analysis revealed a significant gender-based disparity in the impact of dietary quality on stroke risk, with females potentially benefiting more from dietary quality improvements. Sensitivity analysis using unweighted logistic regression yielded results consistent with our primary analysis. The nomogram model, based on key dietary factors identified through LASSO regression, demonstrated favorable discriminatory power, with an area under the curve (AUC) of 79.3% (95% CI 78.4-81.2%). Our findings suggest that higher HEI scores are inversely related to the risk of stroke, with potential greater benefits for women through dietary quality enhancement. These results underscore the importance of improving dietary quality for enhanced stroke prevention and treatment.

Polymorphisms of seven short tandem repeat loci: D1S2142, D1S3733, D2S1774, D3S2459, D21S1409, D21S1437 and D21S2055 of Chinese Han population in Chengdu / 中华医学遗传学杂志

<p><b>OBJECTIVE</b>To obtain the data in polymorphism distribution of the seven short tandem repeat (STR) loci: D1S2142, D1S3733, D2S1774, D3S2459, D21S1409, D21S1437 and D21S2055 of Chinese Han population in Chengdu, and evaluate the polymorphism data usefulness to the forensic science.</p><p><b>METHODS</b>PCR, polyacrylamide gel electrophoresis (PAGE) and silver staining techniques were used to analyze the DNA samples from unrelated individuals of Chinese Han ethnic group in Chengdu.</p><p><b>RESULTS</b>Eleven alleles and twenty-three genotypes were observed in D1S2142. Eight alleles and nineteen genotypes were observed in D1S3733. Eight alleles and fifteen genotypes were observed in D2S1774. Seven alleles and nineteen genotypes were observed in D3S2459. Six alleles and twelve genotypes were observed in D21S1409. Nine alleles and twenty-six genotypes were observed in D21S1437. Twenty alleles and seventy-seven genotypes were observed in D21S2055. The genotype distributions of the seven STR loci showed no deviation from the Hardy-Weinberg equilibrium. The parentage testing of 50 cases revealed an autosomal codominant inheritances and no mutations happened to seven STR loci.</p><p><b>CONCLUSION</b>These data indicate that D1S2142, D1S3733, D2S1774, D3S2459, D21S1409, D21S1437 and D21S2055 have good polymorphism, with high probability of exclusion and probability of discrimination power as well as being loci available as the candidate genetic markers to forensic parentage testing and personal identification.</p>