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Survey study, 2024

Is body fat percentage linked to PMS in teenage girls?

Yes. Body fat percentage was the strongest factor linked to PMS. Adolescents with higher body fat had significantly higher odds of having PMS (odds ratio 2.468).

Early or limited evidence 200 female adolescents in urban and rural areas of Jambi, Indonesia

What they did

Cross-sectional study of 200 female adolescents in urban and rural Jambi, Indonesia. Researchers measured energy intake using 24-hour food recall, nutritional status using bioelectrical impedance analysis and height measurements, and collected data on age at first menstruation and PMS symptoms via questionnaires.

What they found

Body fat percentage was the dominant factor linked to PMS incidence (odds ratio 2.468, 95% confidence interval 1.159-5.254). Residential area was the dominant factor for age at first menstruation (odds ratio 2.591, 95% confidence interval 1.415-4.744). Significant differences existed in age at first menstruation, energy intake, and nutritional status measures between urban and rural adolescents.

What it means for you

Higher body fat appears linked to more severe PMS in teenage girls. The study was limited to one Indonesian region, so findings may not apply to other populations. Cross-sectional design shows association but cannot prove that body fat causes PMS.

2.468

Odds ratio for body fat percentage and PMS

200

Adolescents studied

2.591

Odds ratio for residential area and age at first menstruation

About the study

Original title
The energy intake, nutritional status, menarche at age, and premenstrual syndrome in female adolescents
Authors
Chendy Tata Lestari, Lilik Kustiyah, Ali Khomsan
Journal
Jurnal Gizi dan Dietetik Indonesia (Indonesian Journal of Nutrition and Dietetics)
Year
2024
Study design
Survey study
Participants
200
What was tested
None. Observational study.
Open access
Yes
Original abstract

Background: At present, many female adolescents experience faster growth and faster development phase, including menstruation (menarche). According to 2010 Riskesdas data, 21.3 % of female adolescents in Jambi experienced menarche at the age of ≤12 years, and disorder during menstrual cycle often experienced by female adolescents is premenstrual syndrome (PMS) with a prevalence ranging from 80-90 %. Objective: This research was conducted to analyze any differences from energy intake, nutritional status, age at menarche, and PMS incidence along with finding dominant factors of age at menarche and PMS in female adolescents in urban and rural areas of Jambi. Method: This research employed a cross sectional study design involving 200 female adolescents selected from State Junior High schools in urban and rural areas of Jambi province by a simple random sampling technique. The energy intake data collected by 2 x 24 food recall, whereas nutritional status data was collected through anthropometric measurements using Bioelectrical Impedance Analysis (BIA) and a microtoise, and age at menarche and PMS data were collected by a questionnaire. Bivariate data analysis was taken by Independent t-test, Mann-Whitney test and Spearman Rank test, while the multivariate data analysis was taken by the Logistic Regression. Results: There were significant differences found in age at menarche, energy intake, and nutritional status (HAZ and BAZ) of female adolescents in urban and rural areas (p<0.05). A significant negative relationship was found between nutritional status and age at menarche (p<0.05) and a significant positive relationship was found between nutritional status and the incidence of PMS (p<0.05). The Logistic Regression Test revealed that residence area was the dominant factor related to age at menarche (OR: 2.591 CI 95%: 1.415-4.744) and body fat percentage was the dominant factor related to the incidence of PMS (OR: 2.468 CI 95%: 1.159-5.254) . Conclusion: There are differences found in age of menarche, energy intake, and nutritional status (HAZ and BAZ) between female adolescents from urban and rural areas. There is a significant relationship between nutritional status and age at menarche to the incidence of PMS. Residential area becomes the dominant factor related to age at menarche and body fat percentage becomes the dominant factor related to the incidence of PMS. KEYWORDS: age at menarche; energy intake; female adolescents; nutritional status; PMS

Reproduced under CC-BY-SA.

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