Original Article
Volume: 37 | Issue: 4 | Published: Dec 25, 2021 | Pages: 265 - 269 | DOI: 10.51441/BioMedica/5-558
Assessment of dietary intake, anthropometric measurements and hormonal levels in child bearing age women with polycystic ovary syndrome
Authors: Shehla Javed Akram , Ejaz Mehmood Qureshi
Article Info
Authors
Shehla Javed Akram
Department of Public Health, The University of Lahore, Pakistan.
Ejaz Mehmood Qureshi
Department of Public Health, The University of Lahore, Pakistan.
Publication History
Received: October 01, 2021
Revised: November 18, 2021
Accepted: December 12, 2021
Published: December 25, 2021
Abstract
Background and Objective: Polycystic ovary syndrome (PCOS) is a common endocrine disorder among women of reproductive age. The prevalence of PCOS is higher among Pakistani women as they may have poor dietary habits. The objective of the study was to determine the dietary intake pattern, anthropometric measurement and hormonal levels in patients with PCOS.
Methods: A cross-sectional study was conducted among 160 women presenting at the Gynecology and Obstetrics Department of Jinnah Hospital, Lahore, Pakistan. PCOS was assessed using Rotterdam criterion. For each woman, its demographical data, anthropometric measurements, hormonal as well as dietary intake were taken and comparison was made between the PCOS and healthy women.
Results: There was no significant difference between the mean of the age, weight, height and body mass index between the PCOS group and the healthy women. Hirsutism, acne, weight gain, and sleep disturbance over past one year were higher in PCOS group whereas change in bowel habits was significantly higher (p < 0.05) in healthy controls over a year as compared to PCOS. In hormonal analysis, luteinizing hormone and testosterone were significantly higher (p < 0.05) in PCOS group than the healthy women. In dietary analysis, fiber, ash, Zinc and Riboflavin were significantly found greater (p < 0.05) among healthy controls in comparison to woman suffering from PCOS.
Conclusion: PCOS characterized with increased body weight, hirsutism, acne, and sleep disturbance is common in our women. Furthermore, it significantly correlates to lower intake of Fe and fiber while higher intake of more caloric diet from carbohydrates and fats in their daily routine.
Keywords: Polycystic ovary syndrome (PCOS), Diet, Anthropometry, Hormones, Testosterone, Luteinizing Hormone, Follicle stimulating hormone.
Biomedica - Official Journal of University of Health Sciences, Lahore, Pakistan
Volume 37(4):265-269
ORIGINAL ARTICLE
Assessment of dietary intake, anthropometric measurements and hormonal levels in child bearing age women with polycystic ovary syndrome
Shehla Javed Akram1*, Ejaz Mehmood Qureshi2
Received: 01 October 2021 Revised date: 18 November 2021 Accepted: 12 December 2021
Correspondence to: Shehla Javed Akram
*Ph.D Scholar, Department of Public Health, University of Lahore, Lahore, Pakistan.
Email: shehlajavedakram@yahoo.com
Full list of author information is available at the end of the article.
ABSTRACT
Background and Objective:
Polycystic ovary syndrome (PCOS) is a common endocrine disorder among women of reproductive age. The prevalence of PCOS is higher among Pakistani women as they may have poor dietary habits. The objective of the study was to determine the dietary intake pattern, anthropometric measurement and hormonal levels in patients with PCOS.
Methods:
A cross-sectional study was conducted among 160 women presenting at the Gynecology and Obstetrics Department of Jinnah Hospital, Lahore, Pakistan. PCOS was assessed using Rotterdam criterion. For each woman, its demographical data, anthropometric measurements, hormonal as well as dietary intake were taken and comparison was made between the PCOS and healthy women.
Results:
There was no significant difference between the mean of the age, weight, height and body mass index between the PCOS group and the healthy women. Hirsutism, acne, weight gain, and sleep disturbance over past one year were higher in PCOS group whereas change in bowel habits was significantly higher (p < 0.05) in healthy controls over a year as compared to PCOS. In hormonal analysis, luteinizing hormone and testosterone were significantly higher (p < 0.05) in PCOS group than the healthy women. In dietary analysis, fiber, ash, Zinc and Riboflavin were significantly found greater (p < 0.05) among healthy controls in comparison to woman suffering from PCOS.
Conclusion:
PCOS characterized with increased body weight, hirsutism, acne, and sleep disturbance is common in our women. Furthermore, it significantly correlates to lower intake of Fe and fiber while higher intake of more caloric diet from carbohydrates and fats in their daily routine.
Keywords:
Polycystic ovary syndrome (PCOS), diet, anthropometry, hormones, testosterone, luteinizing hormone, follicle stimulating hormone.
Introduction
Polycystic ovary syndrome (PCOS) is considered as a commonly occurring heterogeneous endocrine disorder characterized mainly with irregularity in menstruation, hyperandrogenism, as well as polycystic ovaries.1 PCOS affects 5% to 20% of the women of reproductive age across the globe but it may vary depending upon the criteria employed for the diagnosis of the disease.2
The clinical presentation of PCOS varies widely among women of different age groups and socio-economic strata. The pattern of symptoms for which women seek care includes hyperandrogenism, disturbances in menstrual cycle and infertility. As far as menstrual cycle disturbances are concerned, PCOS women have amenorrhea, oligomenorrhea, or prolonged continuous menstrual bleeding.3 The women having normal menses with PCOS are only 30% 4 followed by 30% to 40% women with PCOS having amenorrhea, while oligomenorrhea (85%-90%) accounts for most of the women suffering from PCOS.5 At least among 80% of women with hyperandrogenism have PCOS and the commonly occurring clinical symptom is hirsutism in up to 70% of these.6,7
The nutritional aspects of PCOS elucidate that fat should be restricted to 30% of the total intake of calories and the saturated fat may be taken in least amount. Higher intake of carbohydrates significantly contributes toward weight gain, and hence dyslipidemia as a result of stimulating hunger as well as craving for more carbohydrates.8 Snacks as well as soft drinks may not be taken and the meals per day may be several times instead of taking heavy meals at one episode.9 The short-term measure includes usage of several drugs that stimulate insulin sensitivity or promoting weight loss strategies. Addition of exercise daily augments the benefits by four-fold.10
In developing countries, PCOS studies exploring the nutritional as well as dietary practices are scarcely found. Traditionally, PCOS patients use three methods to help in normalizing ovarian functions with variable success rates. These methods include exercise diet and various therapeutic interventions. Keeping in view the high prevalence of disease, the age group affected and quality of life affected by the diseases, it is important to carry out research work on different factors related to PCOS. Looking at the importance of this health issue and the fact that very little work is done, this study was planned to explore the frequency of PCOS and its association with dietary intake, anthropometric measurements and hormonal levels in child bearing age adult women (18-49 years) at a tertiary care hospital of Lahore.
Methods
It was analytical cross-sectional study conducted among 160 child bearing age women; 80 with PCOS and age matched 80 healthy controls recruited using convenient non-purposive sampling technique from Gynecology Units 1 and 2 of Jinnah hospital Lahore, Pakistan during the study period (01-06-2020 to 31-12-2020) after getting an approval from the Institutional Ethical Review Committee. The sample size was calculated using WHO sample calculator 2.0 taking proportion of PCOS among women as 20% 11 with 95% confidence level and 5% margin of error. The total of 80 women in PCOS group was selected based on having symptoms of either anovulation or oligo-ovulation because of menstrual irregularities or biochemical and/or clinical hyperandrogenism was selected. Informed written consent was taken before sampling from both groups. The exclusion criteria were taken as PCOS women with any past or present history of neoplasms or having evidence of immune disorders, or presenting with fibroids or pregnancy. The women who were already on PCOS treatment were excluded. Healthy controls were selected as of having no history of any acute or chronic disorder.
All women were questioned about the pattern of the menstrual cycle, hirsutism, acne, weight issue, infertility, and information about past diagnosis or treatment of PCOS or any other illnesses. The Rotterdam criterion was used to diagnose PCOS characterized by elevated androgen levels, menstrual irregularities, and/or small cysts in one or both ovaries.12 Those women, who met the Rotterdam criteria, were considered as cases and those women who did not meet the criteria were considered as controls. Sociodemographical data, biochemical analysis anthropometric measurements and a Food Frequency Questionnaire for dietary intake pattern along with hormonal analysis were obtained with the help of questionnaires.
Weight of body as well as height were measured using standardized procedures. Using weight and height, body mass index (BMI) was calculated by division of weight with the height square (kg/m2). For laboratory findings, 5 ml blood samples were collected from the women included in the study at their menstrual cycle third day for hormonal assay including levels for luteinizing hormone (LH), folliclestimulating hormone (FSH), and testosterone.
Statistical analysis
All statistical analyses were performed using the Statistical Package for Social Sciences software Version 25.0. Mean (± SD) was given for numeric data. Frequency and percentage were given for categorical data. An independent t-test and Chi-square analysis was used to evaluate the statistical significance of differences of numeric and categorical data between PCOS and healthy controls. Logistic regression test was used to measure association between PCOS and selected variables. A p-value of ≤ 0.05 was used for all tests of statistical significance.
Results
In this study, the women included were from 18 to 49 years of age. Significant difference was not found in mean age, their weight as well as height between healthy controls and PCOS. The BMI was higher in PCOS as compared to healthy controls but statistically insignificant.
Menstrual/obstetric/medical history was compared and results revealed that there was no significant difference in systolic and diastolic blood pressure between PCOS and healthy controls, whereas hirsutism, acne, weight gain, and sleep disturbance over past 1 year were higher in PCOS group but statistically insignificant whereas change in bowel habits for the past 1 year was significantly higher in healthy control as compared to PCOS (Table 1).
Regarding hormonal levels, the results revealed that mean LH and testosterone levels were significantly higher in PCOS as compared to healthy control. However, no significant difference was observed in FSH level between healthy controls as compared to PCOS. Dietary assessment results revealed that mean fiber, ash, Zinc (Zn), and Riboflavin (b2) were significantly higher in healthy control as compared to PCOS. However, no significant difference was observed in daily food energy, carbohydrates, protein, fat, moisture, Calcium (Ca), Iron (Fe), Thiamin, Niacin, and beta-carotene between healthy controls as compared to PCOS. Logistic regression was used to determine the effect of anthropometric characteristics, hormonal levels and dietary assessment on PCOS. All factors were included as covariates. Only Carbohydrates, moisture, fiber and Fe had significant effects on PCOS occurrence, adjusted for all confounding factors (p < 0.05). Other factors had no significant effect (p > 0.05) (Table 2).
Table 1. Clinical Profile of the PCOS patients and females of control group.
Variable | Healthy control n = 80 | PCOS n = 80 | p-value |
---|---|---|---|
Mean age (years) | 27.5 ± 15.2 | 26.3 ± 11.9 | 0.131 |
Mean systolic blood pressure (mm Hg) | 117.8 ± 6.1 | 119.5 ± 7.3 | 0.183 |
Mean diastolic blood pressure (mm Hg) | 78.4 ± 5.3 | 79.1 ± 5.8 | 0.317 |
Hirsutism | 42 (53.0%) | 46 (57.5%) | 0.508 |
Acne | 42 (53.0%) | 48 (60.0%) | 0.302 |
Regularity of menstrual periods | 35 (43.4%) | 33 (41.3%) | 0.760 |
Inability to conceive | 19 (23.6%) | 18 (22.5%) | 0.937 |
Weight gain over past year | 55 (68.1%) | 62 (77.5%) | 0.126 |
Sleep disturbances over past one year | 40 (50.0%) | 41 (51.3%) | 0.854 |
Change in bowel habits since over one year | 47 (57.2%) | 30 (37.5%) | 0.004* |
*Significant p-value.
Table 2. Logistic regression examining the association between PCOS and anthropometric characteristics, hormonal levels and dietary assessment.
Variables (mean) | PCOS | Healthy controls | Coefficient | p-value | AOR | 95% C.I. for EXP(B) | |
---|---|---|---|---|---|---|---|
Lower | Upper | ||||||
BMI (Kg/m2) | 27.0 (±5.5) | 26.0 (±5.8) | 0.011 | 0.734 | 1.011 | 0.949 | 1.078 |
FSH (IU/l) | 10.3 (±21.2) | 9.2 (±15.5) | -0.007 | 0.595 | 0.993 | 0.967 | 1.019 |
LH (IU/l) | 10.9 (±12.8) | 9.1 (±11.5) | 0.029 | 0.174 | 1.030 | 0.987 | 1.074 |
Testosterone (ng/dl) | 26.1 (±22.7) | 20.7 (±26.4) | 0.002 | 0.798 | 1.002 | 0.989 | 1.014 |
Carbohydrates (g) | 179.7 (±71.4) | 173.0 (±58.0) | 0.018 | < 0.001* | 1.019 | 1.009 | 1.028 |
Protein (g) | 47.6 (±17.4) | 51.9 (±32.7) | -0.019 | 0.138 | 0.981 | 0.956 | 1.006 |
Fat (g) | 36.3 (±19.9) | 37.2 (±18.8) | 0.006 | 0.576 | 1.006 | 0.984 | 1.029 |
Moisture (g) | 397.2 (±179.6) | 434.8 (±207.0) | -0.003 | 0.009* | 0.997 | 0.994 | 0.999 |
Fiber (g) | 16.3 (±9.6) | 32.9 (±160.2) | -0.076 | 0.010* | 0.927 | 0.875 | 0.982 |
Ash (g) | 20.7 (±17.2) | 56.5 (±288.4) | -0.009 | 0.462 | 0.991 | 0.967 | 1.015 |
Ca (mg) | 1,005.2 (±816.0) | 1,189.8 (±820.0) | 0.00001 | 0.699 | 1.000 | 1.000 | 1.001 |
Fe (mg) | 8.5 (±8.1) | 9.9 (±10.9) | -0.092 | 0.008* | 0.912 | 0.851 | 0.976 |
Zn (mg) | 17.8 (±24.5) | 19.1 (±11.3) | 0.004 | 0.718 | 1.004 | 0.984 | 1.023 |
Thiamin (mg) | 4.0 (±5.6) | 4.6 (±8.6) | 0.001 | 0.967 | 1.001 | 0.936 | 1.071 |
b2 (mg) | 3.9 (±3.1) | 5.7 (±8.8) | -0.080 | 0.135 | 0.923 | 0.831 | 1.025 |
Niacin (mg) | 27.6 (±12.6) | 30.6 (±25.4) | 0.027 | 0.124 | 1.028 | 0.992 | 1.065 |
Beta-carotene (mg) | 1,326.4 (±2,871.8) | 1,112.3 (±1,944.3) | 0.1 × 10-4 | 0.199 | 1.000 | 1.000 | 1.000 |
*Significant p-value.
Discussion
PCOS is a complex metabolic disorder, characterized by numerous physiological, biological, biochemical, and hormonal factors which are involved in the etiopathology of PCOS. This study illustrates the effects of dietary intake pattern, anthropometric measurement and hormonal levels in the development of PCOS.13
The results of the present study showed women included in study were young, mostly married as well as of moderate literacy levels. Regarding socio-demographic data, the comparison among cases and controls was found insignificant and the results seen were so less confounded by these characteristics. The data presented showed that anthropometric measurements were although higher among the PCOS group as compared to the healthy controls but these differences were insignificant statistically. The findings were consistent with other literature findings that showed insignificant results with respect to socio-demographic and anthropometric findings like BMI.14
The present study shows that there was no significant difference between the mean of the age, weight and height between the PCOS group and the healthy women. The mean BMI was higher in PCOS as compared to healthy controls but the two means were having insignificant differences. Hirsutism and sleep disturbances over the past one year were higher in PCOS as compared to healthy control. Changes in bowel habits since past one year were significantly higher in healthy control as compared to PCOS. Our data are consistent with those carried out by Ahmadi et al. 15 in Iran and several other studies showing significant change in bowel habits and disturbed sleep durations.16-19
Current results are also comparable with the study that demonstrated a higher consumption of food of higher glycemic index and low consumption of whole legumes and vegetables in women with PCOS as compared to controls. 16
The present study reveals no significant difference between FSH levels in both groups. In dietary assessment, the mean fiber, ash, Zn, and b2 were significantly higher in healthy controls as compared to PCOS patients. Logistic regression analysis revealed that carbohydrates, moisture, fiber and Fe had significant effects on PCOS occurrence, adjusted for all confounding factors. These results match the observations of a study done in 2017 by Mazloomi et al.20,18,21 The methodology utilized was rigorous in evaluating the polycystic morphology of ovaries and also hormonal levels were assessed, specifically the testosterone levels. The newly recommended diagnosing guidelines for PCOS were also used thus increasing the validity of our study observations. These methodologies also resulted in diversified groups having specific phenotypic PCOS types.16-20
The utilization of latest guidelines related to dietary patterns by American Board made this study of its first kind and thus quality of diet taken by the participants were comparable at international standards in comparison to national guidelines recommended for nutritional as well as physical activity needs individually.22 The dietary modifications may potentially reduce not only the risk of acquisition but also benefit in maintaining healthy lifestyle in patients with PCOS.
Conclusion
PCOS characterized with increased body weight, hirsutism, acne, and sleep disturbance is common in Pakistani women. Furthermore, it is significantly correlated to the carbohydrates, fiber, and Fe intake in these women.
Limitations of the study
The major limiting factor for the study is the small number of patients taken from a single center in Lahore city. Also monitoring of daily caloric intake through charts could have been opted. Pre and post analyses after offering intervention (dietary modifications) could have validated the findings of the study.
Acknowledgement
The authors are thankful to the staff and gynecologists of Gynecology Units of Jinnah Hospital Lahore, Pakistan for providing the patients.
List of Abbreviations
BMI | Body mass index |
Ca | Calcium |
FSH | Follicle-stimulating hormone |
Fe | Iron |
LH | Luteinizing hormone |
PCOS | Polycystic ovary syndrome |
b2 | Riboflavin |
Zn | Zinc |
Conflict of interest
None to declare.
Grant support and financial disclosure
None to disclose.
Ethical approval
Ethical approval was granted by the Ethics Committee/Institutional Review Committee of University of Lahore, Pakistan vide letter No IRB-UOL-FAHS/748/2020 dated 25-05-2020.
Authors’ contribution
SJA, EMQ: Conception and design of study, drafting of manuscript, acquisition and analysis of data
ALL AUTHORS: Approval of the final version of the manuscript to be published.
Author details
Shehla Javed Akram1, Ejaz Mehmood Qureshi2
- Ph.D Scholar, Department of Public Health, University of Lahore, Lahore, Pakistan
- Department of Public Health, University of Lahore, Lahore, Pakistan
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