Survey study, 2023
How do stress and contraceptive use affect different types of PMS?
The study found that different types of PMS (labeled A, H, C, and D) occur in different proportions depending on stress level and how long someone uses contraception. The abstract does not provide specific percentages.
What they did
Cross-sectional descriptive survey of 101 women of childbearing age (15-49 years) in two Indonesian subdistricts. They collected data through interviews about stress level, contraceptive use duration, and PMS type.
What they found
The study identified different proportions of PMS types in the population. Stress level and length of contraceptive use were associated with differences in the proportion of PMS types (A, H, C, and D).
What it means for you
Different PMS profiles may relate to stress and contraceptive patterns, but the abstract provides no specific numbers or direction of associations. This limits practical understanding.
101
women of childbearing age
15-49 years
age range
4
PMS types identified
About the study
- Original title
- Stress Level and Length of Use Contraception to Premenstrual Syndrome (PMS) Type in Childbearing Age Women
- Authors
- Colti Sistiarani, Bambang Hariyadi, Eri Wahyuningsih et al.
- Journal
- Global Journal of Reproductive Medicine
- Year
- 2023
- Study design
- Survey study
- Participants
- 101
- What was tested
- None
- Open access
- Yes
- Read the paper
- doi.org/10.19080/gjorm.2023.10.555779
Original abstract
The identification of factors related to PMS is still general in nature and has not focused on identifying risk factor related the type of PMS. PMS itself is more experienced by women of childbearing age. The prevalence of PMS types in women of childbearing age is done to be able to map the types of PMS so that their magnitude can be found in the population. This research is a descriptive analytic study with a cross sectional approach. The population in this study were women of childbearing age (15-49 years) who were in the west Purwokerto subdistrict and Sumbang subdistrict. The number of samples in this study were 101 respondents. The sampling technique was purposive sampling. Collect data using interviews with respondents. Data analysis used binomial test and multinomial regression. The results of the study can be explained that there are differences in the proportion of PMS A, H and D types in the population. There is a difference in the proportion between Type H, PMS C, Type A and Type D depending on the length of time using contraceptive and stress level.
Reproduced under CC-BY.
Topics
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