MetS prevalence is well-known to increase with age, especially in women as compared with men. Recently, a prospective study with 35 European cohorts showed that the increase in MetS prevalence from the 19- to 39-year age group to the 40- to 49-year age group was more than twofold (from 7.3% to 18.8% for the International Diabetes Federation criteria) in women and twofold (from 5.3% to 9.3%) in men [2]. Therefore, age should be adjusted in the relationship between age at menarche and MetS, and we do not agree with the authors of the Letter to the Editor [3] that our models that included age were overadjusted. The results presented in Appendix 1 of our paper [1] are similar to those of the recently published metaanalysis [4]. However, they ignored the age-cohort effect and made an error in applying the associations that could appear in some cohorts, for example, older women, to the whole population by analyzing various cohorts as one population.

Table 2 of our study [1] shows the mean values of each MetS component in premenopausal women according to age at menarche and age at the time of survey. Younger women with early menarche had a larger mean waist circumference than those with menarche at 12–15 years or older (mean±standard error, 75.98±0.62, 73.08±0.31, and 72.48±1.01, respectively). The mean is a well-known measure of central tendency. Meanwhile, the prevalence of MetS or its individual components is the proportion of a population that displays the characteristic features of MetS at a given time. The younger women who had early and late menarche were more likely to have abdominal obesity (14.9%, 9.9%, and 13.7%, respectively). Likewise, in the older women aged 40–55 years, the mean waist circumference did not show significant differences among the three menarche groups, but the prevalence of abdominal obesity was highest in the early menarche group (24.0%, 15.3%, and 15.0%, respectively). We should understand the characteristics of the statistical indexes and appropriately interpret their meaning.