Thursday April 2, 2020

First Baby Can Make Anxious Parents Jealous: Study

First baby can spark jealousy in anxious parents

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Expectant parents must address relationship anxiety before the first baby is born. Pixabay

Expectant parents, please take note. You must address relationship anxiety before the first baby is born as researchers have revealed that a new child can spark feelings of jealousy in a person who already fears being abandoned by his or her partner.

The study, published in the Journal of Social and Personal Relationships, found that partners who showed signs of relationship anxiety before the birth of their first child were more likely to be jealous of the child after it was born.

“You might think, who could be jealous of a baby? But if you already have fears of rejection, it may be scary to see how much attention your partner showers on your new child,” said study lead author Anna Olsavsky from Ohio State University in the US.

The researchers also found that when either partner was jealous of the baby, couples experienced a decline in their satisfaction with their relationship after becoming parents. For the findings, the research team used data from the New Parents Project, a long-term study co-led by Schoppe-Sullivan that is investigating how dual-earner couples adjust to becoming parents for the first time. In all, 182 couples, most of whom were married, participated in this study.

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The researchers found that when either partner was jealous of the baby, couples experienced a decline in their satisfaction with their relationship after becoming parents. Pixabay

During the third trimester of pregnancy, mothers and fathers completed a variety of questionnaires, including one that examined “attachment anxiety.” According to the research, they were asked how much they agreed with statements like “I’m afraid that I will lose my partner’s love” and “I worry about being abandoned.”

Three months after their baby was born, the couples completed a measure of jealousy of the partner-infant relationship. They reported how much they agreed with statements like “I resent it when my spouse/partner is more affectionate with our baby than s/he is with me.”

As they predicted, the researchers found that people with relationship anxiety before the child’s birth were more jealous of the child three months after arrival. But it wasn’t just the anxious partner who felt jealous of the baby – even their spouses felt higher levels of jealousy, they added.

The reason may be that spouses of anxious partners are used to receiving a lot of attention from their partner, and that responsiveness may lessen when the baby arrives, the study said. “It is not just that you aren’t receiving all the attention that you used to receive, but also that the child is receiving that extra devotion that once was given to you,” Schoppe-Sullivan said.

Also Read- Individuals Who Have Lost Their Partners Are Likely to Suffer from Melanoma

The researchers went into the study believing that anxious fathers may be most vulnerable to feeling jealousy of the new child because dads tend to spend less time with infants than moms do. But that’s not what they found.

According to the study, anxious moms and dads were equally likely to be jealous of the time their partners spent with the new baby. (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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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.

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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)