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Jeon and Hwang: A Structural Equation Modeling on Premenstrual Syndrome in Adolescent Girls
Original Article

Journal of Korean Academy of Nursing 2014; 44(6): 660-671.

Published online: 31 December 2014

DOI: https://doi.org/10.4040/jkan.2014.44.6.660

A Structural Equation Modeling on Premenstrual Syndrome in Adolescent Girls

Jung-hee Jeon1, Sun-kyung Hwang2

1Department of Nursing, Tongmyong University, Busan, Korea.

2College of Nursing, Pusan National University, Yangsan, Korea.

Address reprint requests to: Hwang, Sun-kyung. College of Nursing, Pusan National University, 49 Busandaehak-ro, Mulgeum-eup, Yangsan 626-870, Korea. Tel: +82-51-510-8340, Fax: +82-51-510-8308, skhwang@pusan.ac.kr

Received 11 July 2014       Revised 23 July 2014       Accepted 19 October 2014

© 2014 Korean Society of Nursing Science

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

Abstract

Purpose

The aims of this study were to construct a hypothetical structural model which explains the premenstrual syndrome (PMS) in adolescent girls and to test the fitness with collected data.

Methods

The participants were 1,087 adolescent girls from 3 high schools and 5 middle schools in B city. Data were collected from July 3 to October 15, 2012 using self-reported questionnaires and were analyzed using PASW 18.0 and AMOS 16.0 programs.

Results

The overall fitness indices of hypothetical model were good (χ2 =1555, p<.001), χ2/df=4.40, SRMR=.04, GFI=.91, RMSEA=.05, NFI=.90, TLI=.91, CFI=.92, AIC=1717). Out of 16 paths, 12 were statistically significant. Daily hassles had the greatest impact on PMS in the adolescent girls in this model. In addition, PMS in adolescent girls was directly affected by menarche age, Body Mass Index (BMI), amount of menstruation, test anxiety, social support, menstrual attitude and femininity but not by academic stress. This model explained 27% of the variance in PMS in adolescent girls.

Conclusion

The findings from this study suggest that nursing interventions to reduce PMS in adolescent girls should address their daily hassles, test anxiety, menstrual attitude and BMI. Also, social support from their parents, friends, and teachers needs to be increased.

Keywords: Premenstrual syndrome, Adolescent girls, Structural model

Figures and Tables

Figure 1
Conceptual framework.
jkan-44-660-g001
Figure 2
Path diagram for hypothetical model.
jkan-44-660-g002
Table 1
Descriptive Statistics of Observed Variables (N=1,087)
jkan-44-660-i001

PMS=Premenstrual syndrome; BMI=Body Mass Index.

Table 2
Confirmatory Factor Analysis Result of Modified Observed Model (N=1,087)
jkan-44-660-i002

PMS=Premenstrual syndrome; B=Estimate of regression weight; SE=Standard error of covariance; β=Estimate of standardized regression weight; C.R=Critical Ratio; AVE=Average variance extracted.

Table 3
Effects of Predictor Variables in the Hypothetical Model (N=1,087)
jkan-44-660-i003

*p<.05; †p<.01; ‡p<.001; PMS=Premenstrual Syndrome; BMI=Body Mass Index; B=Estimate of regression weight; SE=Standard error of covariance; β=Estimate of standardized regression weight; C.R=Critical Ratio; SMC=Squared Multiple Correlation.

Notes

This manuscript is a revision of the first author's doctorial dissertation from Pusan National University.

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