A new study analyzing the association between breast feeding and metabolic syndrome in women has uncovered interesting findings that could impact the understanding of women’s health.
Researchers examined data from over 30,000 women aged 20 and older, looking at factors such as body mass index, hypertension, cardiovascular disease, and history of breast feeding. The study found that breast feeding duration was a major predictor of metabolic syndrome, with longer durations associated with a decreased risk of developing the condition.
The study utilized machine learning techniques to analyze the data, with the random forest model performing the best in predicting metabolic syndrome. Variables such as BMI, hypertension, and age were also found to be significant predictors of the condition.
In logistic regression analysis, it was determined that for each additional month of breast feeding, the risk of metabolic syndrome decreased by 0.2%. While this effect may seem small on a monthly basis, it can have a significant impact over longer periods of time.
Overall, the study provides valuable insights into the relationship between breast feeding and metabolic syndrome in women. Further research is needed to fully understand the mechanisms behind these associations and how they can be utilized in clinical practice to improve women’s health outcomes.
