Wednesday April 1, 2020

Optimism May Lower Diabetes Risk in Postmenopausal Women: Study

The prevalence of diabetes increases with age, with a 25.2 per cent prevalence in those aged 65 years or older

0
//
Pregnancy
The study included 4,697 mothers and 4,832 children. (IANS)

While it is known that a positive personality can help one succeed in life, a new study suggests that traits such as optimism may actually help reduce the risk of developing Type-2 diabetes.

The study examined whether personality traits, including optimism, negativity, and hostility, were associated with the risk of developing Type-2 diabetes in postmenopausal women.

Depression and cynicism were found to be associated with an increased risk of diabetes.

In addition, high levels of hostility were associated with high fasting glucose levels, insulin resistance, and prevalent diabetes.

For the study, published in the journal Menopause, researchers followed 139,924 postmenopausal women amongst which 19,240 cases of Type-2 diabetes were identified.

Diabetes
Representational image. Pixabay

Compared with women who were least optimistic, women who were the most optimistic had a 12 per cent lower risk of incident diabetes, results showed.

In addition, the association of hostility with the risk of diabetes was stronger in women who were not obese compared with women who were.

Hence, low optimism, high negativity and hostility were associated with increased risk of incident diabetes in postmenopausal women, independent of major health behaviours and depressive symptoms, the study concluded.

Also Read- It is Now Possible to Reverse Memory Loss Caused by Alzheimer’s, Says Study

“In addition to using personality traits to help us identify women at higher risk for developing diabetes, more individualised education and treatment strategies should also be used,” said Joann Pinkerton, executive director at The North American Menopause Society.

The prevalence of diabetes increases with age, with a 25.2 per cent prevalence in those aged 65 years or older. (IANS)

Next Story

Can AI Predict Diabetes Accurately? Find it Out Here

AI to predict future diabetes cases with 94% accuracy

0
AI diabetes
Researchers have revealed that with the help of artificial intelligence (AI) their trained computer model predicted the future incidence of diabetes. Pixabay

Researchers have revealed that with the help of artificial intelligence (AI) their trained computer model predicted the future incidence of diabetes with an overall accuracy of 94.9 per cent.

Artificial intelligence (AI) is the development of computer systems able to perform tasks that normally require human intelligence. Diabetes is linked to increased risks of severe health problems, including heart disease and cancer. Preventing diabetes is essential to reduce the risk of illness and death.

“Currently, we do not have sufficient methods for predicting which generally healthy individuals will develop diabetes,” said study lead author Akihiro Nomura from Kanazawa University in Japan. “Using machine learning, it could be possible to precisely identify high-risk groups of future diabetes patients better than using existing risk scores,” Nomura added.

For the findings, published in the Journal of the Endocrine Society, the researchers investigated the use of a type of artificial intelligence called machine learning in diagnosing diabetes.

AI diabetes
Artificial intelligence (AI) is the development of computer systems able to perform tasks that normally require human intelligence. Pixabay

Machine learning is a type of AI that enables computers to learn without being explicitly programmed. The research team analysed 509,153 nationwide annual health checkup records from 139,225 participants from 2008 to 2018 in the city of Kanazawa in Japan.

Among them, 65,505 participants without diabetes were included. The data included physical exams, blood and urine tests and participant questionnaires.

Patients without diabetes at the beginning of the study who underwent more than two annual health checkups during this period were included.

New cases of diabetes were recorded during patients’ checkups, the researchers said.

Also Read- Here are the Health Benefits of Fermentation

The researchers identified a total of 4,696 new diabetes patients (7.2 per cent) in the study period. Their computer model predicted the future incidence of diabetes with an overall accuracy of 94.9 per cent.

According to the authors, the next plan is to perform clinical trials to assess the effectiveness of using statins to treat groups of patients identified by the machine learning model as being at high risk of developing diabetes. (IANS)