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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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A Cross Sectional Study to Determine Polycystic Ovarian Disease (PCOD) among Students of a Tertiary Care Teaching Hospital

Authors: Jagrati Kiran Naagar; Shweta Yadav; Sachin Singh Yadav;

A Cross Sectional Study to Determine Polycystic Ovarian Disease (PCOD) among Students of a Tertiary Care Teaching Hospital

Abstract

Background: The incidence of childhood obesity is rapidly rising, which is the main cause of increased insulin resistance, the metabolic syndrome, dyslipidemia, and polycystic ovarian syndrome. India presently has the greatest number of type 2 diabetes mellitus patients worldwide. The prevalence of PCOD is unknown in the public, though. Objective: To estimate the prevalence of PCOD among students in Tertiary care teaching hospital. Materials and Methods: A cross sectional study was conducted among students of aged 16-24 years in a teaching hospital in BMC, Sagar (M.P.). Sample size of 256 students were randomly selected from various batches of medical and paramedical courses. Occurrence of hyper androgenic features and menstrual irregularities were evaluated, and they were physically examined. The diagnosis of PCOS was made based on Rotterdam’s criteria. Epi-info 7 was used for analysis. Results: Seventy-five students (30%) met the criteria to be diagnosed as polycystic ovarian syndrome. Twenty students (10%) had a history of thyroid dysfunction. The other clinical features of hyperandrogenism were like acne (25%), oily skin (13.5%), increased hair growth (7%), male pattern thinning of hair (9.75%). Conclusion: PCOD can be assumed of as a forerunner syndrome that, if screened for, can help in early identification of risk of highly morbid conditions, in adolescent girls.

Background: The incidence of childhood obesity is rapidly rising, which is the main cause of increased insulin resistance, the metabolic syndrome, dyslipidemia, and polycystic ovarian syndrome. India presently has the greatest number of type 2 diabetes mellitus patients worldwide. The prevalence of PCOD is unknown in the public, though. Objective: To estimate the prevalence of PCOD among students in Tertiary care teaching hospital. Materials and Methods: A cross sectional study was conducted among students of aged 16-24 years in a teaching hospital in BMC, Sagar (M.P.). Sample size of 256 students were randomly selected from various batches of medical and paramedical courses. Occurrence of hyper androgenic features and menstrual irregularities were evaluated, and they were physically examined. The diagnosis of PCOS was made based on Rotterdam’s criteria. Epi-info 7 was used for analysis. Results: Seventy-five students (30%) met the criteria to be diagnosed as polycystic ovarian syndrome. Twenty students (10%) had a history of thyroid dysfunction. The other clinical features of hyperandrogenism were like acne (25%), oily skin (13.5%), increased hair growth (7%), male pattern thinning of hair (9.75%). Conclusion: PCOD can be assumed of as a forerunner syndrome that, if screened for, can help in early identification of risk of highly morbid conditions, in adolescent girls.

Keywords

PCOD, Menstrual Irregularities, Hyper Androgens, Adolescent, Metabolic Syndrome, Acne, Risk Factors

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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