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The prevalence and risk factors of school absenteeism due to premenstrual disorders in Japanese high school students—a school-based cross-sectional study

Overview of attention for article published in BioPsychoSocial Medicine, April 2016
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Title
The prevalence and risk factors of school absenteeism due to premenstrual disorders in Japanese high school students—a school-based cross-sectional study
Published in
BioPsychoSocial Medicine, April 2016
DOI 10.1186/s13030-016-0067-3
Pubmed ID
Authors

Mari Tadakawa, Takashi Takeda, Yasutake Monma, Shoko Koga, Nobuo Yaegashi

Abstract

Premenstrual disorders such as premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) interfere with the daily lives of adolescents. The causes of PMS and PMDD are unknown, but lifestyle habits, such as regular exercise and taste preference are known to be associated. This study was conducted to investigate how premenstrual symptoms affect the school life in Japanese high school students and whether there was a risk factor for school absenteeism that is dependent on the types of premenstrual symptoms or lifestyle habits. A school-based survey was conducted in Sendai, an industrial city in Japan. A total of 901 girls aged 15-19 with regular menstrual cycles were assessed using the self-reporting premenstrual symptoms questionnaire (PSQ) and questions regarding school absence, taste preference, and exercise. We classified the girls into 'no/mild PMS', 'moderate-to-severe PMS' and 'PMDD' according to the PSQ. The girls were classified into the 'absent' group if they were absent for more than 1 day per month. We used multivariate logistic analysis to examine the risk factors for school absenteeism. The rates of 'moderate-to-severe PMS' and 'PMDD' were 9.9 and 3.1 %, respectively. A total of 107 girls (11.9 %) were classified into the 'absent' group. Significant differences were observed in the prevalence of all premenstrual symptoms (p < 0.001), 'age' (p < 0.001), 'a preference for salty food' (p = 0.001), and 'lack of regular exercise' (p = 0.03) between the 'absent' and 'non-absent' groups. Multivariate analysis revealed that premenstrual symptoms such as 'insomnia or hypersomnia' (odds ratio [OR] 2.27, 95 % confidence interval [CI]: 1.46-4.17) and 'physical symptoms' (OR 2.24, 95 % CI: 1.37-3.66), 'reduced social life activities' (OR 2.71, 95 % CI 1.31-5.59), and 'a preference for salty food' (OR 1.89, 95 % CI: 1.20-2.98) were risk factors for school absenteeism. One in nine Japanese female high school students were absent from school due to premenstrual symptoms. Physical premenstrual symptoms and lifestyles, such as a preference for salty food and a lack of regular exercise, were identified as risk factors for school absenteeism.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 15%
Unspecified 17 13%
Student > Master 12 9%
Student > Doctoral Student 8 6%
Lecturer 7 5%
Other 25 19%
Unknown 41 32%
Readers by discipline Count As %
Nursing and Health Professions 20 16%
Medicine and Dentistry 18 14%
Unspecified 17 13%
Psychology 11 9%
Social Sciences 7 5%
Other 13 10%
Unknown 43 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 April 2016.
All research outputs
#18,453,763
of 22,865,319 outputs
Outputs from BioPsychoSocial Medicine
#233
of 309 outputs
Outputs of similar age
#218,838
of 298,924 outputs
Outputs of similar age from BioPsychoSocial Medicine
#9
of 12 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 309 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.