Thursday April 2, 2020

Here’s Why High Heels May Affect Womens’ Bone Health

According to the data, 43.7 per cent working women wear high heels daily

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Approx 48.5 per cent women wear high heels on a regular basis or on the weekends for social gatherings. High heels when worn on a regular basis, impacts the back, toes and the joints of ankle and knee. Pixabay

Wearing high heels over a period of time have known to impact a womens bone health and a new survey on Monday revealed that regular use of high heels might also lead to early osteoporosis and permanent backache.

A survey conducted by Max Healthcare (MHC) — ‘Women’s bone health and orthopaedic issues’ — was done with over 500 women in Gurugram, Delhi/NCR aged between 20 to 45 years and above.

A balanced share of respondents across following profiles were include – Homemaker and Working Professional.

“Our survey has shown that a shocking 48.5 per cent women wear high heels on a regular basis or on the weekends for social gatherings. High heels when worn on a regular basis, impacts the back, toes and the joints of ankle and knee,” said Dr. S.K.S. Marya, Chairman and Chief Surgeon, Orthopaedics and Joint Replacement, Max Hospital in Gurugram.

“This puts immense pressure on the spine which can hamper the overall bone structure and posture of women over a period of time. These heels create an anomalous and awkward angle for the ankle which further creates pressure and hinders the circulation to the foot,” Marya added.

They survey also revealed that 37.5 per cent of 20-30 year old women wear high heels daily and 85.4 per cent 20-30 year old women wear high heels daily or on weekends for parties.

According to the data, 43.7 per cent working women wear high heels daily.

While only 14.6 per cent 20-30 year old women do not prefer high heels at all or wear occasionally, 52.9 per cent 30-45 year old and 83 per cent above 45 year old women feel this way.

Legs, Shoes, Stockings, Tights, Heels, Model
Wearing high heels over a period of time have known to impact a womans’ bone health and a new survey on Monday revealed that regular use of high heels might also lead to early osteoporosis and permanent backache. Pixabay

“In many cases, the big toe becomes deformed also known as ‘Hallux Valgus’, and require correction surgery. Regular use of high heels might also lead to early osteoporosis and permanent backache,” Marya said.

“Therefore, women should only wear high heels occasionally and go for flats, ballerinas, loafers, slip ons, oxfords etc. for daily use,” Marya added.

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The survey also found that over 50 per cent women do not focus on their daily posture and are ruining their bone health in the process. (IANS)

Next Story

Can AI Predict Diabetes Accurately? Find it Out Here

AI to predict future diabetes cases with 94% accuracy

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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.

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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)