POSTMENOPAUSAL HORMONE USAGE AND THE LIKELIHOOD OF DEVELOPING TYPE 2 DIABETES IN POSTMENOPAUSAL WOMEN

Background: Postmenopausal hormone therapy (HT) is a popular treatment choice for treating menopausal symptoms and is utilized by postmenopausal women all over the globe. HT is known to positively impact general health and relieve symptoms, including maintaining bone mineral density and lowering the risk of cardiovascular disease. Objectives: This main objective of the study was to determine postmenopausal hormone usage and the likelihood of developing Type 2 diabetes in 100 postmenopausal women at the Hayatabad Medical Complex in Peshawar, Pakistan; the specific goals were to define the features of the research population, evaluate the relationship between diabetes and postmenopausal hormone usage, and pinpoint risk factors for Type 2 diabetes in postmenopausal women. Methods: The research was carried out at the Hayatabad Medical Complex from January 2023 to January 2024. The research's participants included 100 postmenopausal women, aged 50 to 65, from the same institution who had been on postmenopausal hormone treatment for at least three months before the trial. Through blood tests (fasting glucose and hemoglobin A1c), participants' risk of developing diabetes was evaluated. Additionally evaluated were other variables, including medical history, body mass index, and lifestyle choices that can influence the chance of getting Type 2 diabetes. Data were gathered using a semi-structured questionnaire, and descriptive statistics and logistic regression were used to analyze the results. Data was analyzed by using SPSS version 23. Results: Postmenopausal hormone usage and risk of Type 2 diabetes were significantly correlated, according to the findings (odds ratio, 2.7; 95% confidence range, 1.4-5.1; P 0.001). Compared to women who did not take postmenopausal hormone treatment, those who did had a nearly threefold increased risk of diabetes. The research also found that obesity, a family history of diabetes, dining often away from home, and a lack of physical exercise were all substantially linked to an elevated risk of Type 2 diabetes in postmenopausal women (P 0.05). Conclusion: Our study concludes that there is a significant relationship between the usage of postmenopausal hormones and the incidence of Type 2 diabetes in postmenopausal women. Additionally, postmenopausal women were much more likely to have Type 2 diabetes if they were obese, had a family history of diabetes, often ate out, and engaged in low levels of physical exercise.  

Authors

Publication Details

Published
2024-10-07
DOI
https://doi.org/10.53555/mjzcnr58
Primary Topic
Hormonal and reproductive studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

POSTMENOPAUSAL HORMONE USAGE AND THE LIKELIHOOD OF DEVELOPING TYPE 2 DIABETES IN POSTMENOPAUSAL WOMEN

Tahir Zaman Khan
Hormonal and reproductive studies
article

POSTMENOPAUSAL HORMONE USAGE AND THE LIKELIHOOD OF DEVELOPING TYPE 2 DIABETES IN POSTMENOPAUSAL WOMEN

Tahir Zaman Khan
article en

Abstract

Background: Postmenopausal hormone therapy (HT) is a popular treatment choice for treating menopausal symptoms and is utilized by postmenopausal women all over the globe. HT is known to positively impact general health and relieve symptoms, including maintaining bone mineral density and lowering the risk of cardiovascular disease. Objectives: This main objective of the study was to determine postmenopausal hormone usage and the likelihood of developing Type 2 diabetes in 100 postmenopausal women at the Hayatabad Medical Complex in Peshawar, Pakistan; the specific goals were to define the features of the research population, evaluate the relationship between diabetes and postmenopausal hormone usage, and pinpoint risk factors for Type 2 diabetes in postmenopausal women. Methods: The research was carried out at the Hayatabad Medical Complex from January 2023 to January 2024. The research's participants included 100 postmenopausal women, aged 50 to 65, from the same institution who had been on postmenopausal hormone treatment for at least three months before the trial. Through blood tests (fasting glucose and hemoglobin A1c), participants' risk of developing diabetes was evaluated. Additionally evaluated were other variables, including medical history, body mass index, and lifestyle choices that can influence the chance of getting Type 2 diabetes. Data were gathered using a semi-structured questionnaire, and descriptive statistics and logistic regression were used to analyze the results. Data was analyzed by using SPSS version 23. Results: Postmenopausal hormone usage and risk of Type 2 diabetes were significantly correlated, according to the findings (odds ratio, 2.7; 95% confidence range, 1.4-5.1; P 0.001). Compared to women who did not take postmenopausal hormone treatment, those who did had a nearly threefold increased risk of diabetes. The research also found that obesity, a family history of diabetes, dining often away from home, and a lack of physical exercise were all substantially linked to an elevated risk of Type 2 diabetes in postmenopausal women (P 0.05). Conclusion: Our study concludes that there is a significant relationship between the usage of postmenopausal hormones and the incidence of Type 2 diabetes in postmenopausal women. Additionally, postmenopausal women were much more likely to have Type 2 diabetes if they were obese, had a family history of diabetes, often ate out, and engaged in low levels of physical exercise.  

Openalex Percentile: Top 72%
Hormonal and reproductive studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.