Hubungan antara kadar hemoglobin dengan derajat dismenore pada mahasiswi
DOI: https://doi.org/10.33024/hjk.v20i4.3367
Abstract
Background: Dysmenorrhea is menstrual pain frequently experienced by female students and can disrupt daily activities. One factor suspected of being associated with the severity of dysmenorrhea is hemoglobin levels. Low hemoglobin levels can reduce oxygen supply to tissues, potentially increasing the sensation of pain.
Purpose: To determine the relationship between hemoglobin levels and the severity of dysmenorrhea in female students.
Method: This is an observational analytical study with a cross-sectional approach involving 48 respondents selected using a purposive sampling technique at the Hematology Laboratory of the Faculty of National Health Sciences in Surakarta from July to August 2025. Hemoglobin levels were measured using a Hematology Analyzer, while dysmenorrhea severity was assessed using a Numeric Rating Scale (NRS) questionnaire. Data were analyzed using the Chi-Square test followed by Fisher's Exact Test with a significance level of p < 0.05.
Results: Most female students experienced menstruation for 3–7 days (85.4%), did not take painkillers (72.9%), and had no family history of dysmenorrhea (62.5%). In addition, most female students had habits of consuming fast food (91.7%), drinking coffee (77.1%), and did not smoke (95.8%), but were exposed to cigarette smoke (89.6%). The majority of female students had normal hemoglobin levels (66.7%) and experienced moderate pain (62.5%). Fisher's exact test produced a p-value of 0.369 (p>0.05).
Conclusion: There was no significant relationship between hemoglobin levels and dysmenorrhea rates in female students (the p-value for the chi-square test was 0.308 and Fisher's exact test was 0.309). Variations in dysmenorrhea rates in female students were more influenced by hormonal factors, family history, and lifestyle than hemoglobin levels.
Suggestion: Future studies could include other variables, such as hematocrit, red blood cell count, and red blood cell indices, for more comprehensive results. A cohort design could also be considered to more clearly demonstrate cause-and-effect relationships.
Keywords: Dysmenorrhea; Hemoglobin; Students.
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