Abstract
Background
An increased incidence of central precocious puberty has been recently reported in South Korea, which suggests an ongoing downward trend in pubertal development in the Korean population. We aimed to verify the trend in age at menarche in young Korean women during the last decade and associated factors.
Methods
We analyzed a population-based sample of 3409 Korean girls, aged 10–18 years, using data from the Korean National Health and Nutrition Examination Surveys (KNHANES) II (2001), III (2005), IV (2007–2009), and V (2010 and 2011). Average age at menarche was studied using the Kaplan-Meier survival method and predictors were analyzed using Cox proportional hazards model. The percentage of subjects who had experienced menarche at each age level was compared by using the Cochran-Armitage test.
Results
Overall mean age at menarche was 12.7 years. The percentage of subjects who experienced menarche before the age of 12 years was 21.4 % in 2001 but increased to 34.6 % in 2010/2011 (p < 0.01). In addition, the percentage of girls who experienced menarche before the age of 14 years increased from 76 % in 2001 to 92 % in 2010/2011 (p < 0.005). Adolescents whose mothers who had experienced early menarche (HR 1.48, 95 % CI [1.22–1.80]), and adolescents who were overweight (HR 1.24, 95 % CI [1.04–1.49]) were more likely to have experienced menarche. Additionally, underweight adolescents (HR 0.27, 95 % CI [0.12–0.60]) and adolescents who had a mother having late menarche (HR 0.68, 95 % CI [0.59–0.79]) were expected to have late menarche. None of the socioeconomic factors assessed in our study showed an association with age at menarche.
Conclusions
A downward trend in age at menarche was defined in Korean adolescents during the last decade. Furthermore, influences of genetic and nutritional parameters on individual variance in age at menarche were defined.
Keywords: Menarche, Puberty, Secular trend, Adolescents
Plain English summary
Early menarche has been implicated in adverse health events, including breast cancer, cardiovascular incidents, and mortality. A downward trend in age at menarche has been leveling off in most of industrialized countries in the world over the last few decades. Recently, a trend of earlier pubertal onset in Korean adolescents has been reported. We sought to examine the trend of age at menarche during the last 11 years and associated factors influencing the age at menarche in Korean adolescents. Study subjects were adolescent girls aged 10 to 18 years who participated the Korean National Health and Nutrition Examination Surveys (KNHANES) from 2001 to 2011. Subjects were asked about whether they had experienced menstruation and the year of their menarche using a questionnaire. The mean age at menarche declined from 13.4 years in 2001 to 12.4 years in 2010/2011. Also, the percentage of subjects who experienced menarche before the age of 12 years increased 21.4 % in 2001 to 34.6 % in 2010/2011. Adolescents whose mothers had experienced early menarche and overweight adolescents were more likely to experience earlier menarche. Additionally, adolescents whose mothers had experienced late menarche and underweight adolescents were expected to have later menarche. In conclusion, an ongoing declining trend in age at menarche was noted in Korean adolescents. Nutritional status and genetic factor might be significant factors determining age at menarche. Considering the importance of age at menarche on women’s health and reproductive capacity, continued monitoring of age at menarche and its associated factors is needed in the future.
Background
Although up to 50–80 % of the variance in human pubertal timing is determined by genetic factors, the substantial decline in the age at menarche between the mid-19th and the mid-20th centuries has been proposed to result from the remarkable refinement of nutrition and human living conditions attained during the process of modern civilization [1, 2].
It is well known that since the 1960s, downward trend in the age at menarche has been substantially slowed or arrested in industrialized countries [3–7]. However, in the last 2 decades, a modest but evident trend of earlier menarche has been reported again in European, American, and Asian countries with a less-developed as well as those with a well-developed industrial base [8–14]. Although childhood and adolescent body weight are well documented as environmental factors with the greatest influence on the age at menarche [4, 10, 15], increased body fat does not completely explain the recent decrease in the age at menarche in girls from well-developed countries [16].
In Korea, two retrospective studies reported downward secular trends in the age at menarche in women born before the mid-1980s [17, 18]. These two studies represented a coherent negative trend until the 1985-year-of-birth cohort; however, they intrinsically included a probability of bias in reporting age at menarche secondary to the long recall interval from time of menarche. Furthermore, no data was available regarding trends in age at menarche in women born after the mid-1980s.
A secular increase in body weight is reported in Korean children and adolescents [19, 20]. In addition, we recently reported a significantly increased annual incidence of central precocious puberty in Korean girls based on 2004–2010 data from the Korean Health Insurance Review Agency [21]. These data suggest an ongoing downward trend in pubertal development in the Korean population.
The objectives of this study were to verify the trend of age at menarche in young Korean women and associated influencing factors.
Methods
Study samples
We analyzed data from the Korean National Health and Nutrition Examination Surveys (KNHANES). This is a nationwide, community-based, cross-sectional survey on health and nutritional conditions, designed to represent the non-institutionalized, civilian Korean population. A stratified, multistage probability sampling design was used for the selection of household units. KNHANES consisted of a health behavior (household interviews), nutrition (self-administrated questionnaires), and health examination (standardized physical examinations) surveys. The survey was initially conducted every 3 years by the Korea Institute for Health and Social Affairs; and has, since 2007, been carried out annually by the Division of Chronic Disease Surveillance, Korea Centers for Disease Control and Prevention (KCDCP). The raw data is available at http://knhanes.cdc.go.kr/knhanes/index.do. We conducted an analysis of data from adolescent girls, aged 10 to 18 years, from KNHANES II (2001), III (2005), IV (2007–2009), and V (2010/2011). Subjects were asked whether they had experienced menstruation and the year of their menarche using a self-administered (in girls aged 12 years or older) or parent-answered (in girls aged 11 years or younger) questionnaire. Of the 3409 girls who answered the status of menarche question; 2402 girls reported “experienced menarche” and their age at menarche.
Predictors of age at menarche
We assessed the associations between age at menarche and genetic, nutritional, and socioeconomic parameters. For the evaluation of genetic contribution, maternal age at menarche was assessed as a categorical variable. This variable was sub-grouped into three categories based on age distribution: younger (<13.0 years), normal (13.0–15.9 years), and older (≥16.0 years). Among the three nutritional parameters, body weight (kg) and height (cm) were evaluated as continuous variables. Also, BMI (kg/m2) was evaluated as a categorical variable and stratified into four levels according to the age and sex specific percentiles (%iles) of Korean national reference standards for BMI [22]: underweight (BMI <5th %ile), normal weight (BMI 5th–84th %ile), overweight (BMI 85th–94th %ile), and obese (BMI >95th %ile). All socioeconomic variables (including household income, parental educational achievement, and type of residential area) were assessed as categorical variables. Household income was categorized into four categories in KNHANES: low, lower middle, upper middle, and high. Completed parental education was classified into five categories: no schooling, elementary school, middle school, high school, and college or university. Type of residence was divided into urban or rural. Specifically, among the 16 districts of South Korea, eight major cities (Seoul, Gyeonggi, Busan, Daegu, Incheon, Gwangju, Daejeoun, and Ulsan) were classified as urban areas and other provinces were classified as rural areas.
Statistical analysis
Levels of various characteristics and the distribution of covariates between each subgroup were compared using analysis of variance (ANOVA) and chi-squared tests, and data were presented as mean ± standard deviation (SD) or as numbers with percentages. To determine the average age at menarche, means and standard errors (SE) were calculated for age at menarche using Kaplan-Meier survival analysis. The percentage of subjects who had experienced menarche at each age level was compared by Cochran-Armitage test.
Associations between age at menarche and its theoretical predictors were estimated using the Cox proportional hazards model. All variables were initially investigated for univariate associations with age at menarche, and statistical significance was assessed using hazard ratios (HRs) with a 95 % confidence interval. Only variables found to be significantly associated with age at menarche in univariate analyses were adopted for the multivariate regression model to assess independent significance. Statistical analyses were carried out with SAS statistical software, version 9.1 (SAS Institute Inc., Cary, NC, USA). A two-tailed p value of <0.05 was considered statistically significant in all analyses.
Results
Secular changes in clinical predictors
Participants’ demographic and clinical characteristics are presented in Table 1. Between 2001 and 2010/2011, adolescent participants gained minimal height (p < 0.05) without gaining weight; therefore, mean BMI decreased nominally from 20.2 to 20.1 kg/m2 (p < 0.05). Percentages of participants who were underweight or obese increased slightly, whereas the percentage of participants who were overweight decreased marginally (p < 0.05). Regarding household income, proportions of participants in the upper-middle and lower-middle classes increased somewhat, and proportions in high and low classes decreased minimally between 2001 and 2010/2011 (p < 0.01).
Table 1.
Total 2001–2011 |
II 2001 |
III 2005 |
IV 2007–2009 |
V 2010/2011 |
p-value | |
---|---|---|---|---|---|---|
N, total respondents | 3409 | 680 | 576 | 1299 | 854 | .0297 |
n, experienced menarche | 2402 | 460 | 389 | 926 | 627 | |
n, before menarche | 1007 | 220 | 187 | 373 | 227 | |
Age (y) | 13.6 ± 2.5 | 13.7 ± 2.6 | 13.5 ± 2.5 | 13.5 ± 2.5 | 13.7 ± 2.5 | .3322 |
Weight (kg) | 48.9 ± 10.8 | 49.0 ± 10.3 | 48.8 ± 10.5 | 48.3 ± 10.9 | 49.6 ± 11.2 | .1024 |
Height (cm) | 155.7 ± 8.5 | 155.1 ± 8.6 | 155.8 ± 8.3 | 155.5 ± 8.7 | 156.5 ± 8.3 | .0204 |
BMI (kg/m2) | 20.0 ± 3.3 | 20.2 ± 3.2 | 20.0 ± 3.2 | 19.8 ± 3.3 | 20.1 ± 3.5 | .0193 |
BMI percentile (%) | ||||||
Underweight | 154 (5.1) | 22 (3.9) | 22 (5.5) | 72 (6.0) | 38 (4.5) | .0411 |
Normal | 2422 (80.1) | 448 (78.7) | 331 (83.0) | 965 (80.2) | 678 (79.4) | |
Overweight | 298 (9.9) | 69 (12.1) | 26 (6.5) | 118 (9.8) | 85 (10.0) | |
Obese | 151 (5.0) | 30 (5.3) | 20 (5.0) | 48 (4.0) | 53 (6.2) | |
Household income percentile (%) | ||||||
High | 980 (29.7) | 211 (33.7) | 146 (25.9) | 387 (30.5) | 236 (28.1) | .0030 |
Upper middle | 1014 (30.7) | 163 (26.0) | 175 (31.0) | 411 (32.4) | 265 (31.6) | |
Lower middle | 853 (25.8) | 152 (24.2) | 149 (26.4) | 327 (25.8) | 225 (26.8) | |
Low | 454 (13.8) | 101 (16.1) | 94 (16.7) | 145 (11.4) | 114 (13.6) | |
Place of residence percentile (%) | ||||||
Urban | 2327 (68.3) | 466 (68.5) | 394 (68.4) | 865 (66.6) | 602 (70.5) | .3001 |
Rural | 1082 (31.7) | 214 (31.5) | 182 (31.6) | 434 (33.4) | 252 (29.5) | |
Maternal age at menarche percentile (%) | ||||||
Younger (<13.0 y) | 177 (9.1) | 19 (3.2) | 26 (5.5) | 30 (11.7) | 102 (16.2) | <.0001 |
Normal (13.0–15.9 y) | 1282 (66.2) | 324 (56.5) | 345 (72.5) | 194 (75.5) | 419 (66.6) | |
Older (≥16.0 y) | 479 (24.7) | 233 (40.5) | 105 (22.1) | 33 (12.8) | 108 (17.2) |
Data are expressed as mean ± SD or number of participants (%)
Abbreviations: KNHANES Korean National Health and Nutrition Examination Survey, BMI body mass index
Age at menarche and its trend
The overall mean age at menarche was estimated at 12.7 years (Table 2). The mean age at menarche decreased between 2001 and 2010/2011, from 13.4 years in 2001 to 12.4 years in 2010/2011 (p < 0.0001). Of note, the percentage of girls who experienced menarche before the age of 12 years (p < 0.01), 13 years (p < 0.005), and 14 years (p < 0.005) increased significantly from 21.4, 42.3, and 76.0 % in 2001 to 34.6, 62.2, and 92.0 % in 2010/2011, respectively. An increasing trend in the percentage of girls who experienced menarche before the age of 11 and 15 years was also suggested. Overall, 95.8 % of girls had experienced menarche before 15.0 years of age in these study participants.
Table 2.
Total 2001–2011 |
II 2001 |
III 2005 |
IV 2007–2009 |
V 2010/2011 |
p-value | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Average age at Menarche | |||||||||||
Mean SE | 12.71 ± 0.03 | 13.40 ± 0.06 | 13.08 ± 0.06 | 12.38 ± 0.04 | 12.38 ± 0.05 | <0.0001 | |||||
Number of total respondents | |||||||||||
3409 | 680 | 576 | 1299 | 854 | |||||||
Number of respondents experienced menarche | |||||||||||
2402 | 460 | 389 | 926 | 627 | |||||||
Percentage of girls who experienced menarche | |||||||||||
Age (y) | n | % | n | % | n | % | n | % | n | % | |
10.0–10.9 | 461 | 8.0 | 91 | 8.8 | 79 | 5.1 | 174 | 7.5 | 117 | 10.3 | 0.6429 |
11.0–11.9 | 446 | 26.7 | 84 | 21.4 | 76 | 15.8 | 176 | 29.0 | 110 | 34.6 | 0.0084 |
12.0–12.9 | 410 | 60.0 | 78 | 42.3 | 68 | 63.2 | 174 | 65.5 | 90 | 62.2 | 0.0036 |
13.0–13.9 | 422 | 85.3 | 79 | 76.0 | 82 | 80.5 | 148 | 87.8 | 113 | 92.0 | 0.0018 |
14.0–14.9 | 403 | 95.8 | 76 | 94.7 | 68 | 95.6 | 161 | 95.7 | 98 | 96.9 | 0.4384 |
15.0–15.9 | 347 | 98.0 | 75 | 97.3 | 59 | 96.6 | 133 | 100.0 | 80 | 96.3 | 0.4801 |
16.0–16.9 | 331 | 98.8 | 65 | 98.5 | 53 | 98.1 | 125 | 99.2 | 88 | 98.9 | 0.6114 |
17.0–17.9 | 341 | 99.4 | 77 | 100.0 | 54 | 98.2 | 114 | 99.1 | 96 | 100.0 | 0.9318 |
18.0–18.9 | 248 | 99.2 | 55 | 100.0 | 37 | 97.3 | 94 | 98.9 | 62 | 100.0 | 0.9071 |
Data are expressed as mean ± SE
n: the total number of girls at each age who had answered the status of menarche
%: the percentage of girls who had experienced menarche among girls who had answered the status of menarche question
Factors influencing age at menarche
The results of the univariate Cox proportional hazard models are shown in Table 3. Higher body weight was associated with odds of having experienced menarche (HR 1.01, 95 % CI [1.01–1.02]). In the analysis of categorical variables; younger maternal age at menarche (HR 1.51, 95 % CI [1.26–1.83]), obesity (HR 1.26, 95 % CI [1.06–1.50]), being overweight (HR 1.23, 95 % CI [1.08–1.40]), high household income (HR 1.21, 95 % CI [1.06–1.38]), and upper-middle household income (HR 1.16, 95 % CI [1.02–1.32]) were associated with having experienced menarche. Conversely, being underweight (HR 0.33, 95 % CI [0.19–0.55]) and older maternal age at menarche (HR 0.71, 95 % CI [0.62–0.80]) showed correlations with later occurrence of menarche. Participant’s height, place of residence, and parental educational levels failed to show significant correlations with age at menarche (p > 0.05); therefore, they were not included in multivariate analyses.
Table 3.
Variables | Hazard Ratio (95 % CI) | p-value |
---|---|---|
Bodyweight (kg) | 1.013 (1.008–1.017) | <.0001 |
Height (cm) | 1.003 (0.996–1.010) | .4293 |
Maternal age at menarche (y) | ||
Younger (<13.0) | 1.514 (1.256–1.826) | <.0001 |
Normal (13.0–15.9) | 1.00 | |
Older (≥16.0) | 0.707 (0.622–0.804) | <.0001 |
BMI (kg/m2) | ||
Underweight | 0.327 (0.193–0.554) | <.0001 |
Normal | 1.00 | |
Overweight | 1.227 (1.076–1.400) | .0023 |
Obese | 1.258 (1.058–1.495) | .0093 |
Household income | ||
Low | 1.00 | |
Lower middle | 1.117 (0.978–1.276) | .1030 |
Upper middle | 1.159 (1.018–1.320) | .0259 |
High | 1.207 (1.059–1.378) | .0047 |
Paternal education level | ||
No schooling | 1.00 | |
Elementary school | 1.188 (0.571–2.474) | .6446 |
Middle school | 0.997 (0.487–2.040) | .9924 |
High school | 1.266 (0.628–2.552) | .5093 |
College or university | 1.463 (0.752–2.950) | .2880 |
Maternal education level | ||
No schooling | 1.00 | |
Elementary school | 0.974 (0.504–1.880) | .9363 |
Middle school | 0.895 (0.471–1.701) | .7351 |
High school | 1.096 (0.585–2.053) | .7740 |
College or university | 1.370 (0.729–2.577) | .3280 |
Place of residence | ||
Rural | 1.00 | |
Urban | 1.039 (0.954–1.131) | .3804 |
Figure 1 illustrates the outcome of the multivariate analyses. Younger maternal age at menarche (HR 1.48, 95 % [CI 1.22–1.80]) and being overweight (HR 1.24, 95 % [CI 1.04–1.49]) were consistently associated with occurrence of menarche. In addition, older maternal age at menarche (HR 0.68, 96 % CI [0.59–0.79]) and being underweight (HR 0.27, 95 % CI [0.12–0.60]) were negatively associated with occurrence of menarche. However, the association between age at menarche and obesity was no longer statistically significant when analyzed in a multivariate regression model. This was also the case for the association with age at menarche and household income.
Discussion
One of the objectives of our study was to document the age at menarche over time in the Korean adolescent population. During the past decade, several studies from various countries have updated the average age at menarche and reported a range between 12.0 and 13.0 years [11–13, 23–25]. In particular, two recent Asian studies reported the average age at menarche as 12.27 and 12.41 years [11, 25]. The availability of data in Korea has been sparse in recent decades; however, Cho et al. [18] reported a mean age at menarche in Korean girls of 13.1 years after analyzing data from KNHANES III (2005). Based on our analyses using KNHANES II (2001), III (2005), IV (2007–2009), and V (2010/2011), the overall mean age at menarche in the last decade was 12.7 years.
Until now, studies from different countries have reported a continuous downward trend in age at menarche in the last two decades [4, 7, 9, 10, 13, 14]. In Korea, two well-organized previous studies reported a downward secular trend in age at menarche, −0.64 to −0.68 years per decade, in women born between 1920 and 1985 [17, 18]. However, no data was available regarding the recent trend of age at menarche in Korean population born after the mid-1980s. Of note, the percentage of girls who experienced menarche at each age in our study demonstrated earlier trend of age at menarche in the participants born between 1983 and 2001 (Table 2). This suggests a certain degree of ongoing downward trend of age at menarche in Korean girls born after the mid-1980s.
Age at menarche is known to be influenced by body weight [26], BMI [10, 23, 25, 27, 28], socioeconomic status [24, 29, 30], maternal age at menarche [7, 31], and ethnicity [3, 5, 8, 10, 32]. In addition, the influence of childhood and adolescent body fat on the timing of sexual maturation in females is well documented [3, 4, 10, 15, 33, 34]. Recently, one study group reported a specific genetic variant that contributed to early menarche in a cohort of obese girls [35]. Moreover, other factors, including prenatal nutrition, dietary component, and exposure to endocrine disruptors, have been suggested as likely contributors to the secular trend in earlier pubertal development [36]. Accordingly, we have previously reported an association between high serum isoflavone concentrations and the risk of precocious puberty in Korean girls [37].
The multivariate Cox proportional hazard model in our present study demonstrated a clear influence of maternal age at menarche on individual age at menarche (Fig. 1). In terms of BMI, both being underweight and being overweight were associated with age at menarche; however, the association between age at menarche and obesity lost statistical significance when analyzed in a multivariate regression model. As reported by another group [16], this suggests a limited influence of BMI on age at menarche in high-BMI groups. This phenomenon can be explained by hyperandrogenism in obese girls [38]. Obesity in girls is frequently associated with hyperandrogenism; some girls with hyperandrogenism have an increased risk of adolescent polycystic ovary syndrome (PCOS) [38], which may cause delayed menarche in pubertal girls [39]. Additionally, socioeconomic factors assessed in our study failed to demonstrate an association with age at menarche in Korean adolescents. This finding supports the notion that the socioeconomic factor is not an independent predictor of age at menarche in well-developed countries [14, 40] or urbanized populations [6].
Although some previous Korean studies reported a secular increase in body weight in Korean girls until 2005 [19, 20], there were no corresponding changes in mean values of body weight, height, BMI, or proportions of BMI subgroups in our adolescent participants between 2001 and 2010/2011. Consequently, a decline in age at menarche accordingly in this study could not be suitably explained by changes in nutritional parameters. Considering negligible changes in nutritional parameters, future research on the cause of downward secular trend of age at menarche should focus on other factors including perinatal nutrition, dietary components, physical inactivity and exposure to endocrine disruptors.
In this study, it was noted that the proportion of participants who start to menstruate younger than 15.0 years was 95.8 % (Table 2). This value was highly correlated with a 2 SD score above the mean; therefore, this finding supports the rationale of using an age limit of 15 years in defining primary amenorrhea in the Korean adolescent population.
A major strength of this study was the use of the most recent, large-scale national samples designed to represent the non-institutionalized, civilian Korean population. A major limitation of our study is the use of retrospective data on age at menarche. Although we utilized Kaplan-Meier survival analyses, we could not obtain precise median and SD scores of age at menarche. In addition, this study analyzed a series of cross-sectional data sets. While the Cox proportional hazards model evaluated associations between age at menarche and related factors, no assumptions of causal inference can be drawn from this study.
Conclusions
This study provides an update of the latest trend in age at menarche in Korean adolescents and demonstrates a continuous downward secular trend during the last decade. In addition, it defines the influence of genetic and nutritional parameters on individual variance in age at menarche. Future research on the cause of the downward secular trend in age at menarche is suggested.
Acknowledgements
We thank the Division of Health and Nutrition Survey in Korea Center for Disease Control & Prevention for providing the data.
Funding
Authors have received no funding for this article.
Availability of data and materials
No additional data are available.
Authors’ contributions
ML and MP: study design and execution, interpretation, manuscript preparation, and critical discussion; MO and SK: analysis and interpretation, and critical discussion; KL: manuscript preparation and critical discussion. All the authors examined the data and approved the final manuscript.
Competing interests
The authors declare that they have no conflicting interest.
Ethics approval and consent to participate
The protocols for the Korean National Health and Nutrition Examination Survey were approved by the Institutional Review Board of KCDCP and participants in the survey signed a written informed consent form (IRB No 2007-02CON-04-P, 2008-04-EXP-01-C, 2009-01CON-03-2C, 2010-02CON-21-C, 2011-02CON-06-C). All data are publically available at: http://knhanes.cdc.go.kr/knhanes/index.do.
Abbreviations
- ANOVA
Analysis of variance
- BMI
Body mass index
- HR
Hazard ratios
- KCDCP
Korea Centers for Disease Control and Prevention
- KNHANES
Korean National Health and Nutrition Examination Surveys
- PCOS
Polycystic ovary syndrome
- SD
Standard deviation
- SE
Standard errors
Contributor Information
Mee-Hwa Lee, Email: yeegen@cha.ac.kr.
Shin Hye Kim, Email: S2635@paik.ac.kr.
Minkyung Oh, Email: minkyung@paik.ac.kr.
Kuk-Wha Lee, Email: Timomitch@aol.com.
Mi-Jung Park, Phone: +82-2-950-8826, Email: PMJ@paik.ac.kr.
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