Abstract
Objective
To investigate the prevalence of PMS and depressive symptoms and to determine their association among Korean adolescent girls using a nationally representative cross-sectional survey.
Materials and methods
The Korean Study of Women’s Health Related Issues (K-Stori)was used. Of the 3000 adolescent girls aged 14–17 years, the study subjects were 2970 girls after menarche. Depressive symptom was assessed with the PHQ-9. Multivariable logistic regression analysis was used to investigate factors associated with depressive symptom.
Results
The prevalence of PMS was 70.5 %. Irritability (43.8 %), abdominal bloating (32.8 %), and breast tenderness (27.5 %) were the most predominant symptoms. The prevalence of depressive symptom was 15.5 %. Girls with PMS were more likely to be depressed than those who did not experience PMS (OR, 1.70; CI, 1.31–2.20). BMI was not associated with depressive symptom. However, a significant association was noted between satisfaction with one’s body image and depressive symptom. Ever-smokers were more likely to be depressed than never-smokers (OR, 1.64; CI, 1.10–2.45) .
Conclusions
PMS were significantly associated with depressive symptom. PMS should be taken into account in the management of depression. Our study emphasized the significance of a multidisciplinary approach.
Introduction
Premenstrual syndrome (PMS) is a cluster of mood, behavioral, and physical symptoms that occur during the late luteal phase of the menstrual cycle and is relieved after the onset of menstruation [ ]. The prevalence of PMS in adolescents is estimated between 14 % and 88 % [ ]. Although the peak age of receiving a clinical diagnosis is in the 30s, recent work revealed that 70 % of individuals with PMS had symptom onset in adolescence [ ].
Among adolescents aged 14–15 years, 25 % suffer from PMS; 5 % have symptoms and signs severe enough to interfere with their lifestyle [ ]. PMS reduces participation in school-related functions, increases absence from school, and reduces opportunities for successful educational, psychosocial, and cognitive development during adolescent growth.
Women with premenstrual symptoms experience a high degree of comorbidity with other mental disorders [ , ]. Depression is the most common mental health problems among adolescent girls [ ]. Depressive symptoms in adolescents are often misdiagnosed as behavioral, attention, or substance abuse disorders, or are considered a stage that adolescents go through [ ]. In addition, early onset of depression predicts more severe depression in adulthood [ ].
Women who gained weight are more likely to be diagnosed with PMS. Obesity and common mental health disorders have their roots in childhood [ ]. Previous findings have shown a relationship between body image concerns and the development of psychopathology in adolescence – i.e., anxiety, depression, or social withdrawal [ , ]. During adolescence, body image plays an important role in mental health [ ].
The prevalence of depression is similar in girls and boys before puberty; however, after the onset of puberty, depression is twice as common in girls as in boys [ ]. Many factors could explain the increase in prevalence after puberty, because adolescence is a developmental period characterized by biological and social changes [ , ]. Adolescence is a unique period in human development in terms of both psychological and physiological development [ ]. However, most epidemiological studies on PMS have been conducted on adult females, and only a few have examined the occurrence of premenstrual symptoms among adolescents [ ].
Therefore, we estimated the prevalence of PMS and depressive symptom among Korean adolescent girls and investigated the relationship between PMS and depressive symptom from the Korean Study of Women’s Health Related Issues (K-Stori), a nationally representative cross-sectional survey.
Materials and methods
Data and study population
The Korean Study of Women’s Health Related Issues (K-Stori), was a nationwide survey designed to investigate broad health issues among Korean women according to five stages in the life cycle of women. Specific questionnaires were designed for each of the five stages (adolescence, childbearing, pregnancy & post-partum, menopause, and older adult), since life cycle approaches have been found to be effective in understanding and managing health problems and health promotion plans. A pilot study was conducted to determine the feasibility and validity of the survey [ ].
Per each stage in the female life cycle, 3000 women (total 15,000) were randomly sampled for a reliable and representative research design. For random sampling, a multi-level, stratified, probability-proportional statistics extraction method was used as a sampling framework using the 2010 Population and Housing Census. In order to generalize the survey results, the subjects were selected by random sampling for 16 cities and provinces (seven special and metropolitan cities, and nine provinces). The extraction method was used to stratify recruits by region and dong-eup/municipal district, after which 200 households were sampled. A sample of 15 households was extracted from each sampling area, in which the principle was to survey female household members aged 14–79 years in each sample household. Interviewers visited each of the 15 extracted households. However, for adolescents, the questionnaire was conducted via an online survey to minimize distortion of responses to sensitive health behavior items [ ].
This survey was conducted from April 2016 to June 2016. Subjects who did not agree to participate in the survey and those with difficulties communicating were excluded. The survey response rate is 40.4 %. The study was approved by the Institutional Review Board of the National Cancer Center, Korea (Approval no: NCC2016-0062). The details of K-Stori have been described elsewhere [ ].
We investigated the health status, behavior, and perceptions of Korean adolescent girls using an online survey. Of the 3000 adolescent girls who participated in the K-Stori survey, the study subjects were 2970 girls aged 14–17 years (middle school, second grade and high school, second grade), after excluding 30 participants before menarche.
Dependent variables
Depressive symptom was defined as the dependent variable of interest. The Patient Health Questionnaire (PHQ-9) is a self-report tool for screening and case finding of major depressive disorder (MDD) [ ]. The PHQ-9 is the most commonly used screening instrument for depression in primary care and other clinical settings [ ]. It consists of nine items that assess the frequency of depressive symptoms in the past two weeks. Subjects were asked how often, over the last 2 weeks, they have been bothered by each of the depressive symptoms. Response options are “not at all”, “several days”, “more than half the days”, and “nearly every day”, scored as 0, 1, 2 and 3, respectively. PHQ-9 scores range from 0 to 27, with scores of ≥5, ≥10, ≥15, representing mild, moderate and severe levels of depression severity [ ]. Psychometric properties of the PHQ-9 are well documented [ ]. We used the Korean version of the PHQ-9 [ ] We defined depressive symptom as mild to severe when the score is ≥ 5 in the nine-item scale [ ].
Independent variables
The primary independent variable was premenstrual syndrome. According to the International Classification of Diseases (ICD-10) of the World Health Organization and the American College of Obstetrics and Gynecology (ACOG), PMS was accessed if participants reported at least one of the following emotional and physical symptoms: breast swelling and tenderness, fatigue, bloating, lack of energy, appetite changes, sleep problems, headache, impulsivity, mood lability, depressed mood, anxiety, agitation, social friction, feeling “loss of control,” decreased concentration, and irritability [ , ]. Symptoms must be present during the five days preceding menstruation in each of the two consecutive menstrual cycles and must resolve within four days of the onset of menstruation without recurrence of symptoms until at least day 13 of the cycle [ ].
Age, body mass index (BMI), satisfaction with body image, smoking and drinking experiences, academic performance, and age at menarche were considered. BMI was calculated using participants’ self-reported height and weight. Participants were categorized according to criteria for Asians or generally applied definitions for the Korean population using BMI cut offs of <18.5 kg/m2 (underweight), <23 kg/m2 (normal), ≥23 kg/m2 (overweight), and ≥25 kg/m2 (obese) [ , ]. To assess adolescents’ body satisfaction, we asked the following question: “Are you satisfied with your current body weight or shape?” which can be answered by the options: “satisfied with both weight and shape,” “satisfied with weight,” “satisfied with shape,” or “satisfied with neither weight nor body type.”
Statistical analysis
First, we investigated the general characteristics of the study population and the prevalence rates of PMS and depressive symptom. BMI, body satisfaction, health behavior, and menstrual characteristics according to depressive symptom status were compared using the chi-squared test. Multivariable logistic regression analysis was used to investigate factors associated with depressive symptom and whether PMS was associated with depressive symptom. Odds ratios (ORs) and 95 % confidence intervals (95 % CI) were presented as an index of association. All statistical analyses were performed using SAS version 9.4 (SAS Institute, Inc., Cary, NC, USA).
Results
We analyzed the data of 2970 girls aged 14–17 years. The participants’ characteristics, including menstruation-related variables, are presented in Table 1 . Menarche before the age of 12 years was 27.5 %. The prevalence of PMS, according to ACOG and the ICD-10, was 70.5 %. Among all adolescent girls in our sample, the prevalence of depressive symptom was 15.5 %, regardless of the severity of depressive symptom. There were 12.7 % who had mild depressive symptom, with scores of 5–9; 2.7 % had moderate to severe depressive symptom, defined by a PHQ score ≥10.
Variables | No | % |
---|---|---|
Age (years) | ||
14 | 719 | 24.2 |
15 | 741 | 25.0 |
16 | 754 | 25.4 |
17 | 756 | 25.5 |
BMI (kg/m2) | 20 | 2.1 |
Underweight (<18.5) | 573 | 19.3 |
Normal (18.5≤ <23.0) | 2110 | 71.0 |
Overweight (23.0≤ <25.0) | 200 | 6.7 |
Obesity (25.0≤) | 87 | 2.9 |
Body satisfaction | ||
Both weight and shape | 997 | 33.6 |
Weight | 375 | 12.6 |
Shape | 314 | 10.6 |
Neither weight nor shape | 1284 | 43.2 |
Smoking experience | ||
Ever | 167 | 5.6 |
Never | 2803 | 94.4 |
Drinking experience | ||
Ever | 532 | 17.9 |
Never | 2438 | 82.1 |
Academic performance | ||
Above average | 1104 | 37.2 |
Average | 1369 | 46.1 |
Below average | 497 | 16.7 |
Age at menarche (years) | ||
<12 | 818 | 27.5 |
12 | 996 | 33.5 |
≥13 | 1156 | 38.9 |
Premenstrual syndrome | ||
No | 875 | 29.5 |
Yes | 2095 | 70.5 |
Depressive symptom (score of PHQ, 0–27) | ||
None-minimal (<5) | 2511 | 84.6 |
Mild (5≤ <10) | 378 | 12.7 |
Moderate (10≤ <15 | 62 | 2.1 |
Moderately severe (15≤ <20) | 15 | 0.5 |
Severe (20≤) | 4 | 0.1 |
Table 2 describes the general characteristics, age at menarche, and premenstrual symptoms according to the depressive symptom status. Among girls who experienced PMS, the prevalence of depressive symptom was 17.9 %, while 9.5 % of those without PMS reported depressive symptom. 16.6 % of girls who were not satisfied with both weight and shape had depressive symptom. Girls with drinking or smoking experience were more likely to have more than twice as much depressive symptom as those without drinking or smoking experience (p < 0.001). The prevalence of depressive symptom was not significantly different according to the age at menarche (p = 0.828).
Variables | No depressive symptom (None-minimal) | Depressive symptom (Mild-severe) | |||
---|---|---|---|---|---|
No. | % | No. | % | p value | |
Total participants | 2511 | 84.6 | 459 | 15.5 | |
Age (years) | |||||
14 | 620 | 86.2 | 99 | 13.8 | 0.3097 |
15 | 622 | 83.9 | 119 | 16.1 | |
16 | 625 | 82.9 | 129 | 17.1 | |
17 | 644 | 85.2 | 112 | 14.8 | |
BMI (kg/m2) | |||||
Underweight (<18.5) | 491 | 85.7 | 82 | 14.3 | 0.1607 |
Normal (18.5≤ <23.0) | 1788 | 84.7 | 322 | 15.3 | |
Overweight/Obesity (23.0≤) | 232 | 80.8 | 55 | 19.2 | |
Body satisfaction | |||||
Both weight and shape | 884 | 88.7 | 113 | 11.3 | <0.0001 |
Weight | 305 | 81.3 | 70 | 18.7 | |
Shape | 251 | 79.9 | 63 | 20.1 | |
Neither weight nor shape | 1071 | 83.4 | 213 | 16.6 | |
Smoking experience | |||||
Ever | 111 | 66.5 | 56 | 33.5 | <0.0001 |
Never | 2400 | 85.6 | 403 | 14.4 | |
Drinking experience | |||||
Ever | 411 | 77.3 | 121 | 22.7 | <0.0001 |
Never | 2100 | 86.1 | 338 | 13.9 | |
Academic performance | |||||
Above average | 961 | 87.0 | 143 | 13.0 | <0.0001 |
Average | 1182 | 86.3 | 187 | 13.7 | |
Below average | 368 | 74.0 | 129 | 26.0 | |
Age at menarche (years) | |||||
<12 | 692 | 84.6 | 126 | 15.4 | 0.828 |
12 | 847 | 85.0 | 149 | 15.0 | |
≥13 | 972 | 84.1 | 184 | 15.9 | |
Premenstrual syndrome | |||||
No | 792 | 90.5 | 83 | 9.5 | <0.0001 |
Yes | 1719 | 82.1 | 376 | 17.9 |

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