A Multi-population Analysis of a Self-care Scale for Menstrual Pain;

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Other Title
  • Causal Relationships between Snacking and Menstrual Pain

Abstract

The purpose of this study was to verify the cross-validity of the "self-care scale for dysmenorrhea in young females" that we developed, to clarify the causal relationship between snacking and each of the factors with menstrual pain from the results of a multiple regression analysis of the related factors survey in the previous study (Yamamoto, 2019). The study participants were 1,000 young females who had menstrual pain and participated in this study, and 300 young females who had menstrual pain and participated in the related factors survey. Assuming that the two participant populations had the same factor structure, we performed a simultaneous multi-population analysis. Based on the multiple regression analysis of the previous study (Yamamoto, 2019), we set up a hypothesis for the causal relationship between snacking and each scale factor with menstrual pain, and then clarified the relationship using a path analysis. The results of our multi-population analysis revealed that the factor structure of the main survey and the related factors survey were equivalent, and that the self-care scale for menstrual pain could accurately measure six structural concepts even in different populations. When they ate more snacks, the 1st factor "perception of self-efficacy" decreased, which led to the 5th factor "expected level of burden needed to improve menstrual pain". It also led to the 4th factor "self-care using medicine". The more menstrual pain they had, the less of the 4th factor "self-care using medicine" they performed. It was demonstrated that the self-care scale for menstrual pain had cross-validity. The relationship between snacking and each factor with menstrual pain became clear.

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