Background: Menstrual irregularities are common among adolescent girls and are often influenced by stress, poor nutrition, and sedentary habits. These lifestyle factors can disrupt hormonal balance and metabolic function, leading to irregular menstrual cycles. Aim: The aimed to evaluate the effectiveness of a nurse-led intervention on selected biophysical and biochemical parameters among adolescent girls with menstrual irregularities. Methodology: The study utilized a quantitative approach with pre-experimental design. The study was conducted among 20 adolescent girls aged 12–18 years attending the Gynecology OPD at Government Thoothukudi Medical College Hospital. Data were collected using structured tools assessing demographic details, menstrual patterns, BMI, and laboratory parameters. Results: The results showed a significant reduction in BMI, indicating improved weight status. Levels of hemoglobin and white blood cells increased significantly, suggesting enhanced hematologic function. Biochemical improvements were also noted in triglyceride and triiodothyronine (T3) levels, while other physiological and biochemical parameters remained stable. Conclusion: The nurse-led intervention effectively improved BMI, hematological, and biochemical parameters among adolescent girls with menstrual irregularities.
Menstrual irregularities among adolescent girls are increasingly recognized as a significant public health concern, often influenced by lifestyle factors such as academic stress, irregular sleep patterns, and unhealthy dietary habits. Research indicates that poor management of these factors contributes to menstrual disturbances, affecting approximately 19% of adolescent girls in certain populations, including students [1,2]. Elevated levels of perceived stress, particularly in academically demanding environments, can disrupt the hypothalamic-pituitary-ovarian axis, resulting in menstrual dysfunction [3,4].
Body Mass Index (BMI), a critical indicator of nutritional status, is directly associated with menstrual health. Elevated BMI levels, especially among females, have been linked to irregular menstrual cycles and hormonal imbalances, including polycystic ovary syndrome (PCOS) [5]. Furthermore, biochemical parameters such as serum hormone levels are influenced by dietary intake and metabolic health, factors that play crucial roles during adolescence [6,7].
Nurse-led interventions that promote lifestyle modifications, including balanced nutrition and regular physical activity, have proven effective in improving BMI and biochemical parameters. These interventions help maintain hormonal balance and reduce the prevalence of menstrual irregularities among adolescent girls [8,9].
While previous studies have examined links between BMI, biochemical markers, and menstrual irregularities, few have evaluated nurse-led interventions that address these factors among adolescent girls in clinical settings. Limited evidence exists on how such interventions influence both physiological and biochemical outcomes, particularly in the Indian context. This gap highlights the need for targeted research to assess the effectiveness of nurse-led programs in improving menstrual health through lifestyle and metabolic regulation. Therefore, this study study aimed to evaluate the effectiveness of a nurse-led intervention in improving biophysical, haematological, and biochemical parameters among adolescent girls with menstrual irregularities.
Objectives
Study Design
This study followed a quantitative research approach and adopted a pre-experimental, one-group pre-test post-test design to evaluate selected parameters among adolescent girls with menstrual irregularities.
Participants and Sampling
The research was conducted at the Government Thoothukudi Medical College Hospital (GTMCH), Thoothukudi. The target population included all adolescent girls between 12 and 18 years of age attending the Gynecology Outpatient Department (OPD). Using a purposive sampling technique, a total of 20 participants were selected based on specific inclusion and exclusion criteria. The inclusion criteria consisted of adolescent girls aged 12–18 years who had attained menarche and were attending the Gynecology OPD. The exclusion criteria included those who had not yet attained menarche and those unwilling to participate in the study.
Data Collection Procedure
Data were collected using a structured tool composed of three sections: a demographic data sheet, a checklist to record the duration and pattern of menstruation and menstrual irregularities, and a BMI classification chart used to assess body mass index. Each participant was assessed during the pre-test and post-test periods using the same instruments to identify changes in physiological, hematological, and biochemical parameters over the study duration. Nurse-led interventions for menstrual disorders include educating women about the normal menstrual cycle, causes of abnormalities, and proper hygiene practices; providing guidance on diet rich in fruits, vegetables, iron, and calcium while limiting caffeine and sugary foods; teaching regular exercise and stress-reduction techniques like meditation; promoting good sleep habits; and distributing educational materials and supplements like iron to manage symptoms and improve overall menstrual health and knowledge effectively.
Statistical Analysis
Data were analyzed using SigmaPlot v14.0. Normality was tested using Shapiro–Wilk. One-way repeated measures ANOVA with Bonferroni post-hoc correction was applied (p<0.05).
Table 1 shows the socio-demographic and gynecological profile of girls with menstrual irregularities (n = 20). Most participants (70%) were aged 13–19 years and more than half (55%) attained menarche at 12–13 years. The majority had school education (65%) and belonged to lower-middle income families (45%). Half lived in nuclear families (50%) and 60% followed a non-vegetarian diet. Gynecological details show that 65% had irregular menstrual cycles, with more than 22 days cycle length reported by most girls. Moderate bleeding was noted in 70%, and 80% had menstrual flow lasting more than 3 days. Pain during menstruation was common, reported by 75% of participants, mostly of moderate severity. Overall, the findings indicate a high prevalence of irregular cycles associated with moderate flow and menstrual pain among adolescents.
Table 2 presents the analysis of physiological parameters in girls with menstrual irregularity across three visits. The results show a statistically significant reduction in body mass index (BMI) over time (F = 5.690, P = 0.007), indicating slight improvement in weight status. Other parameters including pulse rate, systolic and diastolic blood pressure, and respiratory rate showed no significant variation between visits (P > 0.05), suggesting stability in cardiovascular and respiratory function during the study period.
Table 3 summarizes the hematological findings across three visits. Significant changes were observed in haemoglobin (F = 3.393, P = 0.044) and white blood cell count (F = 5.770, P = 0.006), both showing gradual increases, which may reflect improvement in hematological status. However, platelet count and packed cell volume (PCV) did not exhibit significant differences among visits (P > 0.05), indicating stable blood volume and clotting potential.
Table 1: Socio-demographic and Gynecological Variables of Girls N = 20
|
S.No. |
Parameter |
Category |
Number |
Percent |
|
1 |
Age (years) |
10 – 12 |
6 |
30 |
|
13 – 15 |
7 |
35 |
||
|
16 – 19 |
7 |
35 |
||
|
2 |
Age at menarche (years) |
12 – 13 |
11 |
55 |
|
14 – 15 |
9 |
45 |
||
|
3 |
Education |
No formal education |
7 |
35 |
|
School education |
13 |
65 |
||
|
4 |
Family income (₹) |
< 10,000 |
3 |
15 |
|
10,001 – 20,000 |
9 |
45 |
||
|
> 20,001 |
8 |
40 |
||
|
5 |
Religion |
Hindu |
11 |
55 |
|
Other |
9 |
45 |
||
|
6 |
Type of family |
Nuclear |
10 |
50 |
|
Joint |
10 |
50 |
||
|
7 |
Type of diet |
Vegetarian |
8 |
40 |
|
Non-vegetarian |
12 |
60 |
||
|
8 |
Type of Menstrual Cycle |
Regular |
7 |
35 |
|
Irregular |
13 |
65 |
||
|
9 |
Average days of the menstrual cycle |
< 21 days |
7 |
35 |
|
> 22 days |
13 |
65 |
||
|
10 |
Amount of bleeding |
Scanty |
4 |
20 |
|
Moderate |
14 |
70 |
||
|
Heavy |
2 |
10 |
||
|
11 |
Average days of menstrual flow |
< 2 days |
4 |
20 |
|
> 3 days |
16 |
80 |
||
|
12 |
Pain during menstruation |
Yes |
15 |
75 |
|
No |
5 |
25 |
Table 2: Physiological parameters of girls with menstrual irregularity N=20
|
S.No. |
Parameter |
Visit |
Mean |
SD |
SE |
Statistics |
|
1 |
Body mass index (kg/m2) |
1st |
34.5 |
7.8 |
1.7 |
F = 5.690 P = 0.007 |
|
2nd |
33.9 |
7.6 |
1.7 |
|||
|
3rd |
33.4 |
7.4 |
1.7 |
|||
|
2 |
Pulse rate (beats/min) |
1st |
78.2 |
6.5 |
1.5 |
F = 2.611 P = 0.087 |
|
2nd |
80.0 |
7.9 |
1.8 |
|||
|
3rd |
78.5 |
7.1 |
1.6 |
|||
|
3 |
Systolic blood pressure (mmHg) |
1st |
107.5 |
4.4 |
1.0 |
F = 0.769 P = 0.471 |
|
2nd |
108.5 |
3.7 |
0.8 |
|||
|
3rd |
109.0 |
3.0 |
0.7 |
|||
|
4 |
Diastolic blood pressure (mmHg) |
1st |
72.0 |
5.2 |
1.2 |
F = 0.144 P = 0.867 |
|
2nd |
73.0 |
5.7 |
1.3 |
|||
|
3rd |
72.5 |
7.1 |
1.6 |
|||
|
5 |
Respiratory rate (breaths/min) |
1st |
19.0 |
1.8 |
0.4 |
F = 0.517 P = 0.601 |
|
2nd |
19.0 |
1.8 |
0.4 |
|||
|
3rd |
19.0 |
1.4 |
0.3 |
Table 3: Hematological parameters of girls with menstrual irregularity N = 20
|
S.No. |
Parameter |
Visit |
Mean |
SD |
SE |
Statistics |
|
1 |
Haemoglobin (g/dL) |
1st |
10.37 |
1.30 |
0.29 |
F = 3.393 P = 0.044 |
|
2nd |
10.40 |
2.40 |
0.54 |
|||
|
3rd |
11.26 |
0.81 |
0.18 |
|||
|
2 |
White blood corpuscles (x103/cells/μL) |
1st |
6.56 |
1.7 |
0.38 |
F = 5.770 P = 0.006 |
|
2nd |
6.67 |
1.5 |
0.34 |
|||
|
3rd |
7.04 |
1.4 |
0.31 |
|||
|
3 |
Platelets (x105/cells/μL) |
1st |
3.0 |
0.7 |
0.15 |
F = 1.905 P = 0.163 |
|
2nd |
3.2 |
0.6 |
0.13 |
|||
|
3rd |
3.0 |
0.6 |
0.13 |
|||
|
4 |
Packed cell volume (%) |
1st |
35.0 |
3.5 |
0.8 |
F = 0.408 P = 0.668 |
|
2nd |
33.0 |
7.5 |
1.7 |
|||
|
3rd |
33.5 |
8.5 |
2.0 |
Table 4: Analysis of biochemical parameters of girls with menstrual irregularity
|
S.No. |
Parameter |
Visit |
Mean |
SD |
SE |
Statistics |
|
1 |
Random blood sugar (mg/dL) |
1st |
85.6 |
9.2 |
2.1 |
F = 0.889 P = 0.419 |
|
2nd |
83.9 |
5.7 |
1.3 |
|||
|
3rd |
83.5 |
7.0 |
1.6 |
|||
|
2 |
Total cholesterol (mg/dL) |
1st |
175 |
13.0 |
2.9 |
F = 2.522 P = 0.094 |
|
2nd |
160 |
35.3 |
8.0 |
|||
|
3rd |
167.5 |
13.0 |
2.9 |
|||
|
3 |
Triglycerides (mg/dL) |
1st |
133 |
16.0 |
3.6 |
F = 4.991 P = 0.012 |
|
2nd |
132 |
16.4 |
3.7 |
|||
|
3rd |
117 |
28.0 |
6.2 |
|||
|
4 |
Urea (mg/dL) |
1st |
26.0 |
7.1 |
1.6 |
F = 1.510 P = 0.234 |
|
2nd |
27.3 |
4.2 |
1.0 |
|||
|
3rd |
26.1 |
5.2 |
1.1 |
|||
|
5 |
Creatinine (mg/dL) |
1st |
0.62 |
0.14 |
0.03 |
F = 0.251 P = 0.780 |
|
2nd |
0.64 |
0.16 |
0.03 |
|||
|
3rd |
0.61 |
0.15 |
0.03 |
|||
|
6 |
Triiodothyronine; T3 (pg/mL) |
1st |
3.2 |
1.0 |
0.2 |
F = 4.540 P = 0.017 |
|
2nd |
3.3 |
1.0 |
0.2 |
|||
|
3rd |
3.6 |
1.0 |
0.2 |
|||
|
7 |
Thyroxin; T4 (μg/dL) |
1st |
12.0 |
1.6 |
0.4 |
F = 0.203 P = 0.817 |
|
2nd |
12.0 |
3.8 |
0.9 |
|||
|
3rd |
12.0 |
1.8 |
0.4 |
|||
|
8 |
Thyroid stimulating hormone; TSH (µU/mL) |
1st |
3.7 |
0.5 |
0.1 |
F = 0.259 P = 0.773 |
|
2nd |
3.8 |
0.5 |
0.1 |
|||
|
3rd |
3.7 |
0.7 |
0.1 |
Table 4 details biochemical parameters over the three visits. Significant differences were noted in triglyceride levels (F = 4.991, p = 0.012) and triiodothyronine (T3) (F = 4.540, P = 0.017), both showing improvement trends across visits. In contrast, random blood sugar, total cholesterol, urea, creatinine, thyroxin (T4), and thyroid stimulating hormone (TSH) did not show significant changes (p>0.05), indicating overall biochemical stability in these parameters.
The significant reduction in Body Mass Index (BMI) observed across follow-up visits highlights the efficacy of targeted interventions in addressing weight-related issues among girls with menstrual irregularities. In connection with these findings, several studies emphasize the relationship between lifestyle modifications and BMI changes in similar populations.
Öberg et al. demonstrated that behavioral modification interventions led to improved menstrual function and reduced BMI in women diagnosed with polycystic ovary syndrome (PCOS), a condition frequently associated with menstrual irregularities [10]. This suggests that positive weight changes can occur alongside hormonal and physiological health improvements in girls facing similar health challenges.
Furthermore, Purba et al. [11] provide evidence of a correlation between overweight status and menstrual disorders in adolescent girls, reinforcing the notion that modifications in weight can lead to significant improvements in menstrual regularity. Different interventions, such as dietary changes or metabolic adaptations, can thus have a profound impact on both weight and menstrual health. This understanding aligns with the statistical significance observed in the current study regarding BMI reduction, indicating the potential benefits of addressing weight issues in this demographic. Interestingly, other physiological measures, such as heart rate and blood pressure, did not exhibit significant changes during the intervention, suggesting the stability of cardiovascular functions throughout the weight management process. This concurs with findings where cardiovascular parameters often remain unchanged, despite improvements in metabolic indices [12].
The stability of physiological parameters during weight reduction efforts may indicate a protective effect of gradual weight loss, making it a safer strategy for populations dealing with menstrual irregularities. The hematological results reveal marked improvements in hemoglobin and white blood cell counts, indicating enhanced blood health and immune status over time. This aspect is crucial as it demonstrates the physiological benefits that can arise from lifestyle changes.
A study by Hamed et al. discusses various metabolic and hormonal variables in women undergoing treatment for PCOS, which is often closely tied to weight management strategies [13]. Moreover, research has indicated that women with improved menstrual regularity also show enhanced blood parameters, emphasizing the interrelation of menstrual health and complete blood count indices [14]. The biochemical analysis indicating significant improvement in triglycerides and thyroid hormone (T3) levels adds a layer of complexity to the findings, suggesting positive metabolic adaptations. Li et al. [15] found that dietary interventions could improve various metabolic factors, showcasing that weight loss can effectively translate into altered biochemical markers relevant to health outcomes. However, this area requires nuanced consideration, as other studies highlight differing results regarding metabolic stability amid weight loss interventions [16, 17].
The study concluded that nurse-led interventions effectively improved the physiological, hematological, and biochemical status of adolescent girls with menstrual irregularities. It was observed that BMI reduction reflected positive lifestyle changes, while increased hemoglobin and WBC counts indicated improved hematologic health. A decrease in triglyceride levels showed favorable metabolic adjustment. Overall, the study concluded that targeted lifestyle and dietary interventions enhance menstrual health and general well-being among adolescent girls.
Ethical Statement
Ethical clearance was obtained from the Institutional Ethical Committee, and informed consent was secured from each participant prior to data collection.
1. Nguyen, N.D. and T. Le. "Factors predicting menstrual irregularity among university students in Ho Chi Minh City, Vietnam: A cross-sectional study." Belitung Nursing Journal, 2024, vol. 10, no. 4, pp. 424–429. https://doi.org/10.33546/ bnj.3303.
2. Song, S. et al. "Factors associated with regularity and length of menstrual cycle: Korea nurses’ health study." BMC Women's Health, 2022, vol. 22, no. 1. https://doi.org/10.1186/ s12905-022-01947-z.
3. Parveen, Z. et al. "Association of menstrual cycle pattern with perceived stress score among student and staff nurses." Pakistan Journal of Medical and Health Sciences, 2022, vol. 16, no. 6, pp. 100–102. https://doi.org/10.53350/pjmhs22166100.
4. Ansong, E. et al. "Menstrual characteristics, disorders and associated risk factors among female international students in Zhejiang Province, China: A cross-sectional survey." BMC Women's Health, 2019, vol. 19, no. 1. https://doi.org/10.1186/ s12905-019-0730-5.
5. Bae, J. et al. "Factors associated with menstrual cycle irregularity and menopause." BMC Women's Health, 2018, vol. 18, no. 1. https://doi.org/10.1186/s12905-018-0528-x.
6. Abdolahian, S. et al. "Effect of lifestyle modifications on anthropometric, clinical, and biochemical parameters in adolescent girls with polycystic ovary syndrome: A systematic review and meta-analysis." BMC Endocrine Disorders, 2020, vol. 20, no. 1. https://doi.org/10.1186/s12902-020-00552-1.
7. Sari, R. et al. "Correlation of hemoglobin levels with nutritional status in adolescent girls: A health promotion perspective." Jurnal Promosi Kesehatan Indonesia, 2023, vol. 18, no. 2, pp. 109–115. https://doi.org/10.14710/jpki.18.2.109-115.
8. Bandesh, K. et al. "Normative range of blood biochemical parameters in urban Indian school-going adolescents." PLOS ONE, 2019, vol. 14, no. 3, e0213255. https://doi.org/10.1371/ journal.pone.0213255.
9. Rao, V. et al. "Multisectoral nutrition interventions and their impact on BMI and thinness levels among adolescent girls: An open experiment in two remote blocks of Karnataka, India." Indian Journal of Human Development, 2022, vol. 16, no. 3, pp. 423–447. https://doi.org/10.1177/09737030221135816.
10. Öberg, E. et al. "Improved menstrual function in obese women with polycystic ovary syndrome after behavioural modification intervention—A randomized controlled trial." Clinical Endocrinology, 2019, vol. 90, no. 3, pp. 468–478. https://doi.org/10.1111/cen.13919.
11. Purba, S. et al. "Overweight and menstrual disorders in girls aged 12–15 years." Paediatrica Indonesiana, 2023, vol. 63, no. 6, pp. 499–505. https://doi.org/10.14238/pi63.6.2023.499-505.
12. Zhao, Y. et al. "Total weight loss rather than preoperative body mass index correlates with remission of irregular menstruation after sleeve gastrectomy in patients with polycystic ovary syndrome." Frontiers in Endocrinology, 2024, vol. 15. https://doi.org/10.3389/fendo.2024.1355703.
13. Hamed, E. et al. "Nesfatin-1, dopamine, and NADPH levels in infertile women with polycystic ovary syndrome: Is there a relationship between their levels and metabolic and hormonal variables?" Journal of Reproduction & Infertility, 2022. https://doi.org/10.18502/jri.v23i3.10006.
14. Niu, J. et al. "Association between insulin resistance and abnormal menstrual cycle in Chinese patients with polycystic ovary syndrome." Journal of Ovarian Research, 2023, vol. 16, no. 1. https://doi.org/10.1186/ s13048-023-01122-4.
15. Li, C. et al. "Eight-hour time-restricted feeding improves endocrine and metabolic profiles in women with anovulatory polycystic ovary syndrome." Journal of Translational Medicine, 2021, vol. 19, no. 1. https://doi.org/10.1186/s12967-021-02817-2.
16. Zakerkish, M. et al. "Effect of Curcumex on serum lipid profile and fasting blood glucose, HbA1c, and insulin resistance levels in type 2 diabetic patients: A randomized, double-blind clinical trial." Jundishapur Journal of Natural Pharmaceutical Products, 2023, vol. 18, no. 3. https://doi.org/10.5812/jjnpp-136383.
17. Talebi, S. et al. "The effects of time-restricted eating alone or in combination with probiotic supplementation in comparison with a calorie-restricted diet on endocrine and metabolic profiles in women with polycystic ovary syndrome: A randomized clinical trial." Diabetes Obesity and Metabolism, 2024, vol. 26, no. 10, pp. 4468–4479. https://doi.org/10.1111/dom.15801.