Association of Anthropometric Indices with Menstrual Abnormality among Nursing Students of Nepal: A Cross-Sectional Study
Introduction. Obesity has been reported to be linked with menstrual abnormalities including abnormality in cycle length, duration, and period blood loss. However, which anthropometric parameter is a better marker of menstrual abnormality is yet unknown. This study aims to explore the association of...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Obesity |
| Online Access: | http://dx.doi.org/10.1155/2022/6755436 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832551285020164096 |
|---|---|
| author | Kapil Amgain Prativa Subedi Gopal Kumar Yadav Sujana Neupane Sitaram Khadka Shubha Devi Sapkota |
| author_facet | Kapil Amgain Prativa Subedi Gopal Kumar Yadav Sujana Neupane Sitaram Khadka Shubha Devi Sapkota |
| author_sort | Kapil Amgain |
| collection | DOAJ |
| description | Introduction. Obesity has been reported to be linked with menstrual abnormalities including abnormality in cycle length, duration, and period blood loss. However, which anthropometric parameter is a better marker of menstrual abnormality is yet unknown. This study aims to explore the association of BMI, waist-hip ratio (WHR), and waist-height ratio (WHtR) with menstrual abnormalities. Methods. This was a cross-sectional study conducted among 240 nursing students on two nursing campuses of Nepal. Demographic and menstrual characteristics related data were collected from the participants via the face-to-face interview technique followed by anthropometric measurements. Binary logistic regression was used to study the association of BMI, WHR, and WHtR with menstrual characteristics. Univariable and multivariable regression models were calculated at 95% confidence interval and a P value of 0.05 using a Statistical Package for Social Sciences, IBM SPSS® v21 (IBM, Armonk, New York). Results. Out of 240 participants, 52 participants (21.67%) were underweight (<18.5 kg/m2), and 47 participants (19.58%) were either overweight (≥23 kg/m2) or obese (≥25 kg/m2). Overweight and obese BMI was associated with abnormality in menstrual cycle length (AOR = 4.24; 95% CI = 1.77–10.17), duration of the menstrual period (AOR = 2.52; 95% CI = 1.09–5.81), and periodic menstrual blood loss (AOR = 9.04; 95% CI = 3.55–23.01). Increase in WHtR (>0.5) was associated with abnormal cycle length (AOR = 3.09; 95% CI = 1.09–8.80) and abnormal period duration (AOR = 3.05; 95% CI = 1.10–8.44). An increase in WHR (>0.8) was associated with abnormal cyclical menstrual blood loss (AOR = 4.93; 95% CI = 1.55–15.71). Conclusions. Obesity predisposes to menstrual irregularities. BMI is a better predictor of menstrual irregularity as the increase in BMI is associated with abnormality in menstrual cycle length, period duration, and blood loss. Increased WHR was associated with periodic blood loss only. Increased WHtR was associated with abnormal cycle length and period duration, but not menstrual blood loss. |
| format | Article |
| id | doaj-art-d0f9f2ac85074d819cdfe4bf293fe3d9 |
| institution | Kabale University |
| issn | 2090-0716 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Obesity |
| spelling | doaj-art-d0f9f2ac85074d819cdfe4bf293fe3d92025-02-03T06:01:52ZengWileyJournal of Obesity2090-07162022-01-01202210.1155/2022/6755436Association of Anthropometric Indices with Menstrual Abnormality among Nursing Students of Nepal: A Cross-Sectional StudyKapil Amgain0Prativa Subedi1Gopal Kumar Yadav2Sujana Neupane3Sitaram Khadka4Shubha Devi Sapkota5Department of Clinical Anatomy and Cell BiologyDepartment of Emergency MedicineDepartment of Emergency MedicineDepartment of NursingClinical Pharmacist and PharmacologistNarayani Polytechnic InstituteIntroduction. Obesity has been reported to be linked with menstrual abnormalities including abnormality in cycle length, duration, and period blood loss. However, which anthropometric parameter is a better marker of menstrual abnormality is yet unknown. This study aims to explore the association of BMI, waist-hip ratio (WHR), and waist-height ratio (WHtR) with menstrual abnormalities. Methods. This was a cross-sectional study conducted among 240 nursing students on two nursing campuses of Nepal. Demographic and menstrual characteristics related data were collected from the participants via the face-to-face interview technique followed by anthropometric measurements. Binary logistic regression was used to study the association of BMI, WHR, and WHtR with menstrual characteristics. Univariable and multivariable regression models were calculated at 95% confidence interval and a P value of 0.05 using a Statistical Package for Social Sciences, IBM SPSS® v21 (IBM, Armonk, New York). Results. Out of 240 participants, 52 participants (21.67%) were underweight (<18.5 kg/m2), and 47 participants (19.58%) were either overweight (≥23 kg/m2) or obese (≥25 kg/m2). Overweight and obese BMI was associated with abnormality in menstrual cycle length (AOR = 4.24; 95% CI = 1.77–10.17), duration of the menstrual period (AOR = 2.52; 95% CI = 1.09–5.81), and periodic menstrual blood loss (AOR = 9.04; 95% CI = 3.55–23.01). Increase in WHtR (>0.5) was associated with abnormal cycle length (AOR = 3.09; 95% CI = 1.09–8.80) and abnormal period duration (AOR = 3.05; 95% CI = 1.10–8.44). An increase in WHR (>0.8) was associated with abnormal cyclical menstrual blood loss (AOR = 4.93; 95% CI = 1.55–15.71). Conclusions. Obesity predisposes to menstrual irregularities. BMI is a better predictor of menstrual irregularity as the increase in BMI is associated with abnormality in menstrual cycle length, period duration, and blood loss. Increased WHR was associated with periodic blood loss only. Increased WHtR was associated with abnormal cycle length and period duration, but not menstrual blood loss.http://dx.doi.org/10.1155/2022/6755436 |
| spellingShingle | Kapil Amgain Prativa Subedi Gopal Kumar Yadav Sujana Neupane Sitaram Khadka Shubha Devi Sapkota Association of Anthropometric Indices with Menstrual Abnormality among Nursing Students of Nepal: A Cross-Sectional Study Journal of Obesity |
| title | Association of Anthropometric Indices with Menstrual Abnormality among Nursing Students of Nepal: A Cross-Sectional Study |
| title_full | Association of Anthropometric Indices with Menstrual Abnormality among Nursing Students of Nepal: A Cross-Sectional Study |
| title_fullStr | Association of Anthropometric Indices with Menstrual Abnormality among Nursing Students of Nepal: A Cross-Sectional Study |
| title_full_unstemmed | Association of Anthropometric Indices with Menstrual Abnormality among Nursing Students of Nepal: A Cross-Sectional Study |
| title_short | Association of Anthropometric Indices with Menstrual Abnormality among Nursing Students of Nepal: A Cross-Sectional Study |
| title_sort | association of anthropometric indices with menstrual abnormality among nursing students of nepal a cross sectional study |
| url | http://dx.doi.org/10.1155/2022/6755436 |
| work_keys_str_mv | AT kapilamgain associationofanthropometricindiceswithmenstrualabnormalityamongnursingstudentsofnepalacrosssectionalstudy AT prativasubedi associationofanthropometricindiceswithmenstrualabnormalityamongnursingstudentsofnepalacrosssectionalstudy AT gopalkumaryadav associationofanthropometricindiceswithmenstrualabnormalityamongnursingstudentsofnepalacrosssectionalstudy AT sujananeupane associationofanthropometricindiceswithmenstrualabnormalityamongnursingstudentsofnepalacrosssectionalstudy AT sitaramkhadka associationofanthropometricindiceswithmenstrualabnormalityamongnursingstudentsofnepalacrosssectionalstudy AT shubhadevisapkota associationofanthropometricindiceswithmenstrualabnormalityamongnursingstudentsofnepalacrosssectionalstudy |