The association of female reproductive factors with risk of metabolic syndrome in women from NHANES 1999-2018

BACKGROUND

Female reproductive factors such as age at first birth (AFB), age at last birth (ALB), number of pregnancies and live births play an essential role in women's health. However, few epidemiological studies have evaluated the association between female reproductive factors and metabolic syndrome (MetS). We therefore conducted a cross-sectional study to investigate the association between MetS risk and female reproductive factors.

METHODS

We investigated the relationship between AFB, ALB, number of pregnancies and live births and the incidence of MetS using publicly available data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Weighted multivariable logistic regression analysis, restricted cubic spline (RCS) model, and subgroup analysis were used to evaluate the association between AFB and ALB and the risk of MetS in women. In addition, the relationship between the number of pregnancies, live births and MetS risk was also explored.

RESULTS

A total of 15,404 women were included in the study, and 5,983 (38.8%) had MetS. RCS models showed an N-shaped relationship between AFB and MetS risk, whereas ALB, number of pregnancies, and live births were linearly associated with MetS. Weighted multivariable logistic regression analysis showed that the number of live births was associated with MetS risk, with ORs of 1.18 (95% CI: 1.04, 1.35) for women with ≥ 5 deliveries compared to women with ≤ 2 births.

CONCLUSIONS

AFB was associated with the risk of MetS in an N-shaped curve in women. In addition, women with high live births have a higher incidence of MetS.

Cardiovascular disease preventive effects of aspirin combined with different statins in the United States general population

The purpose of this study was to explore the use of aspirin in conjunction with various statins for cardiovascular disease (CVD) prevention in the general population of the United States (U.S.). A total of 3778 people from the National Health and Nutrition Examination Surveys from 2011 to 2018 were included in our analysis. After adjusting for sociodemographic and common cardiovascular risk factors, we used multivariable logistic regression analysis to determine aspirin should be combined with which type of statin for better CVD preventive effects. Subgroup analyses were carried out subsequently. In comparison to the aspirin use alone, the odds ratios with 95% confidence intervals for CVD were 0.43 (0.33, 0.57), 0.69 (0.42, 1.13), 0.44 (0.31, 0.62), 0.34 (0.23, 0.50) and 0.64 (0.49, 0.84) for the combination use of aspirin and atorvastatin, lovastatin, pravastatin, rosuvastatin as well as simvastatin, respectively, in the fully-adjusted model. Aspirin combined with rosuvastatin was more effective in the prevention of individual CVD, including congestive heart failure, coronary heart disease, angina pectoris and heart attack, than aspirin combined with other statins. In conclusion, statins combined with aspirin have a clear advantage over aspirin alone in preventing CVD. In addition, when various sex, age, and fitness levels were considered, as well as with and without diabetes mellitus, the combination usage of aspirin and rosuvastatin had the greatest CVD preventive effects than aspirin coupled with other statins.

Association of Serum Uric Acid Level with Risk of Abdominal Aortic Calcification: A Large Cross-Sectional Study

Objective

The association between serum uric acid (sUA) and incident abdominal aortic calcification (AAC), and severe abdominal aortic calcification (SAAC) in the general population of the United States (US) is unclear. Therefore, this research aimed to investigate the association between sUA and the risk of AAC and SAAC.

Methods

Individuals from National Health and Nutrition Examination Survey (NHANES) database were analyzed cross-sectionally between 2013 and 2014. The restricted cubic spline (RCS), multivariable logistic regression model and subgroup analysis were utilized to evaluate the correlation between sUA and incident AAC, and SAAC. In addition, generalized additive models with smooth functions were employed to survey the relationship between sUA and the degree of AAC.

Results

This study included 3016 individuals from the NHANES database. According to the RCS plot, sUA levels were associated with the risk of AAC/SAAC in a U-shaped pattern in the US population. The degree of calcification decreased at first and then increased with the increase in the sUA level.

Conclusion

Close monitoring and adequate control of sUA levels in the US general population may reduce the risk of AAC and SAAC.