Thursday April 2, 2020

Rural Moms Face More Physical and Mental Health Problems

Depressed rural moms may face greater health issues

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Rural moms
Researchers have found that chronic depression is linked with increased health problems for moms and children in poor rural communities. Pixabay

Researchers have found that chronic depression is linked with increased health problems for moms and children in poor rural communities. This is the latest health news.

The findings, published in the Journal of Family Social Work, revealed that mothers who were constantly depressed experienced more health problems, distrusted doctors and had a worse outlook on their lives, compared with moms whose symptoms improved. The mothers’ depression also affected those closest to them, the study said.

“Mothers are one of the main supports of the family. They’re raising children, paying bills, and organising events and when they’re depressed, the entire family is impacted,” said study lead author Yoshie Sano, Associate Professor at Washington State University in the US. According to the researchers, more than one in five adults deal with depression, a mood disorder that causes persistent sadness, exhaustion and loss of interest, affecting relationships, work, and emotional and physical health.

Women are twice as likely to have depression as men, and people in poverty are three times more likely to experience it, they said. Using data from the ongoing, multi-state Rural Families Speak project, the research team examined the experiences of 23 mothers with clinical depression across three years. As part of Sano’s research into family relationships through Rural Families Speak, she kept encountering mothers from rural, low-income families who were dealing with depression.

Rural moms
Rural mothers may suffer from depression due to the burden of work. Pixabay

While much prior research has found how depression affects childhood development, she sought to understand the broader context of maternal depression. Both groups of moms, those who were depressed, but improving as well as those who had chronic depression, had similar struggles in dealing with their children’s health.

But chronically depressed moms faced greater challenges in dealing with their children’s emotional and behavioural issues, which were often compounded by a lack of childcare options, employment, concerns for delinquent behaviours and day-to-day behavioural management issues.

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“We found that children’s health — particularly their emotional and behavioural health — is one of the most challenging contributors to maternal depression. Depression doesn’t happen in isolation. It happens in a family, community, and cultural context,” Sano, said. The study also found that chronically depressed mothers expressed strong distrust of health-care professionals and their prescribed treatments. (IANS)

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Can AI Predict Diabetes Accurately? Find it Out Here

AI to predict future diabetes cases with 94% accuracy

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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)