Method: Descriptive co relational design is used for the study. Using convenient sampling 86 women in the age group of 18-40 years were selected who were diagnosed to have poly cystic ovarian symptoms. The instruments used are: Baseline proforma, Gallway scale to check the Hirsutism, Acne grading scale, BMI categorization (according to Asian), pattern of menstrual cycle and a food diary to check the food habits.
Results: Moderate co relation was found with food habits and Hirsutism scale (r=0.509, p=0.001), and with acne grade (r=0.591, p=0.001) whereas negative co relation was found with BMI and good habits which was not statistically significant.
Conclusion: Prevalence of PCOD is increasing in young adult women. Hence early awareness on lifestyle modification and screening for the presence of PCOS symptoms will help to reduce serious complications in future.
Keywords: Diet; Co relation; Adult women.
Poly Cystic Ovarian Syndrome (PCOS) is one of the most common metabolic and reproductive disorders among women of reproductive age group. PCOS also referred to as hyper androgenic an ovulation [1]. Polycystic ovary syndrome (PCOS) is a frustrating experience for women, often complex for managing clinicians band is a scientific challenge for researchers.2 The rapid development PCOS insists to implement the evidence based practice which makes the women and policy makers more aware[2]. Globally, prevalence estimates of PCOS are highly variable, ranging from 2.2% to as high as 26% of this age group depending on how it is defined. These variations are due to difficulties in hormonal evaluation and lack of consensus on diagnostic criteria. It is one of the leading causes of poor fertility [3].
A co relational study on skin changes with hormonal changes in PCOS was conducted among 40 subjects with PCOS attending the outpatient department in India. Details of clinical, menstrual and obstetric history were taken from each patient. Cutaneous manifestations were noted down on the basis of its clinical appearance as acne, Hirsutism, AGA, seborrhea, Acanthosis Nigicans and acrochordons. Hormonal assays are measured using serum markers. The majority of the subjects were in the age group of 21-30 years (72.5%).Amongst the cutaneous manifestations in patients with PCOS acne vulgaris standing highest with 27 patients (67.5%) followed by hirsutism in 25 (62.5%) patients, seborrhea was seen in 21 (52.5%) patients, AGA in 12 (30%) patients, Acanthosis Nigicans in 9 (22.5%) patients and acrochordons in 4 (10%) of patients. Acne was associated with increase in fasting insulin in 28%, testosterone in 23%, DHEA-S in 18%, LH in 15%. AGA showed increase in testosterone by 31%, fasting insulin by 23%, DHEA-S by 19%. Seborrhea showed increase in fasting insulin by 28%, testosterone by 24% and DHEA-S in 21%. Acanthosis Nigricans showed increased fasting level insulin in 33%, increased testosterone in 24% and DHEA-S in 19%. In patients with acrochordons 27% had a rise in fasting insulin levels, 20% showed rise in both testosterone and DHEA-S[4].
H1: There will be a significant relationship between dietary pattern and PCOS.
Section II: Description of PCOS symptoms
Section III: Description of food practices
Section IV: Correlation between PCOS symptoms and dietary pattern
Sl No |
Variables |
f |
% |
1 |
Age of the women (mean age27.13± 5.908) |
||
a) 20-25 years |
40 |
46.51 |
|
b) 26-30 years |
24 |
27.91 |
|
c) 31-35 years |
10 |
11.63 |
|
d) 36-40 years |
12 |
13.95 |
|
2 |
Monthly Income in rupees (mean income 8883.012±9286.43) |
||
a) ≤ 5,000 |
39 |
45.38 |
|
b) 5,001 -10,000 |
17 |
19.77 |
|
c)10,001-15,000 |
12 |
13.95 |
|
d) 15,01-20,000 |
9 |
10.47 |
|
e)20,001-25,000 |
2 |
2.33 |
|
f) ˃ 25,000 |
7 |
8.14 |
|
3 |
Area of Residence |
||
a) Rural |
38 |
44.2 |
|
b) Urban |
48 |
55.8 |
|
4 |
Attainment of first menstrual period (13.66 ±1.46) |
||
a) 10-14 years |
70 |
|
|
b) 15-19 years |
16 |
|
|
5 |
Familial history of Hirsutism |
||
a) Yes |
8 |
9.3 |
|
b) No |
78 |
90.7 |
|
6 |
Persistent thyroid problems |
||
a) Yes |
7 |
8.1 |
|
b) No |
63 |
73.3 |
|
c) Never tested |
16 |
18.6 |
|
7 |
Type of diet |
||
a) Vegetarian |
8 |
9.3 |
|
b) Non vegetarian |
78 |
90.7 |
|
8 |
Marital status |
||
a) unmarried |
42 |
48.8 |
|
b) married |
44 |
51.2 |
|
9 |
Presence of Acanthiosis Nigicans |
||
a) Yes |
14 |
16.3 |
|
b) No |
72 |
83.7 |
|
10 |
Type of work |
||
a) Sedentary work |
11 |
12.8 |
|
b) Moderate work |
63 |
73.3 |
|
c) Heavy work |
12 |
14 |
|
11 |
Weight in kg (mean weight53.607 ±11.89) |
||
a) 25-35 |
4 |
4.65 |
|
b) 35.1-45 |
17 |
19.77 |
|
c) 45.1-55 |
32 |
37.21 |
|
d) 55.1-65 |
23 |
26.74 |
|
e) 65.1-75 |
6 |
6.976 |
|
f) >75 |
4 |
4.65 |
|
12 |
Height in cm ( mean height 152.15 ± 18.66) |
||
a) 125-135 |
5 |
5.813 |
|
b) 135.1-145 |
10 |
11.627 |
|
c) 145.1-155 |
34 |
39.53 |
|
d) 155.1-165 |
31 |
36.046 |
|
e) 165.1-175 |
5 |
5.814 |
|
f) >175 |
1 |
1.163 |
Sl No |
Variables |
Range |
F |
% |
1 |
Gallway score |
|||
Absence of terminal hair |
0 |
0 |
0 |
|
Normal |
<8 |
9 |
10.46 |
|
Mild Hirsutism |
15-Aug |
67 |
77.9 |
|
Severe Hirsutism |
>15 |
10 |
11.63 |
|
2 |
Acne grading |
|||
none |
0 |
0 |
0 |
|
Mild |
18-Jan |
80 |
93.02 |
|
Moderate |
19-30 |
6 |
6.97 |
|
Severe |
31-38 |
0 |
0 |
|
Very severe |
>39 |
0 |
0 |
|
3 |
BMI |
|||
Underweight |
<18.5 |
13 |
15.2 |
|
Normal |
18.5-22.9 |
39 |
45.35 |
|
Overweight |
23-24.9 |
10 |
11.63 |
|
Obese |
>25 |
24 |
27.91 |
|
4 |
Menstrual cycle |
|||
a) amenorrhea |
Absence of menstruation >90 days |
5 |
5.8 |
|
b) Oligomenorrhea |
Between 37-90 days |
17 |
19.8 |
|
c) Polymenorrhea |
<21 days |
6 |
7 |
|
d) Regular cycle |
Between 28-35 days |
58 |
67.4 |
Grading |
Score range |
f |
% |
Healthy habits |
<9 |
11 |
12.79 |
Unhealthy habits |
<9 |
75 |
87.2 |
H1: There is a significant relation between food habits and BMI
Variable |
r value |
P value |
Food habits and BMI |
-0.088 |
0.421 |
Variable |
r value |
P value |
Food habits and acne |
0.591 |
0.001* |
H3: There is a significant relation between food habits and Gallway score n=86
Variable |
r value |
P value |
Food habits and Gallway score |
0.509 |
0.001* |
Descriptive-comparative study was conducted on 65 women with PCOS and 65 healthy women presenting to hospitals affiliated to Shahid Beheshti University of Medical Sciences in 2013. Data collection tools were demographics, diet, IPAQ and unhealthy behavior questionnaires, tape measure and scale. The mean age was 28.85±6.525 and 29.57±7.794 years in the PCOS group and the healthy groups, respectively. The mean BMI was 24.02±3.48 and 23.47±3.281 kg.m2 in the PCOS and the healthy groups, respectively. There was a significant difference between the two groups in terms of diet and physical activity (p< 0.001). The mean score of unhealthy behaviors was 6.43 and 5.94 in the PCOS group and the healthy group, respectively, but the difference was not significant (p=0.7) [6].
- El Hayek S, Bitar L, Hamdar LH, Mirza FG, Daoud G . Poly Cystic Ovarian Syndrome: An Updated Overview. Front. Physiol. 7:124. doi: 10.3389/fphys.2016.00124
- Teede H, Deeks A, Moran L. Polycystic ovary syndrome: a complex condition with psychological, reproductive and metabolic manifestations that impacts on health across lifespan. BMC Med. 2010 ;8:41. doi: 10.1186/1741-7015-8-41
- What causes female infertility?
- Joshi B, Mukherjee S, Patil A, Purandare A, Chauhan S, Vaidya R. A cross-sectional study of polycystic ovarian syndrome among adolescent and young girls in Mumbai, India. Indian J Endocrinol Metab. 2014 ;18(3):317-324. doi: 10.4103/2230-8210.131162
- Kalavathi, Biradar D, Shamanewadi A N. Descriptive study of polycystic ovariansyndrome in adolescent girls among a tertiary care hospital of Bangalore. Indian Journal of Basic and Applied Medical Research. 2015;4(2):453-457
- Sedighi S, Ali Akbari AS, Afakhteh M, Esteki T, Majid AH, Mahmoodi Z. Comparison of lifestyle in women with polycystic ovary syndrome in healthy women. Glob J Health Sci. 2015; 7(1): 228–234. doi: 10.5539/gjhs.v7n1p228