Thursday April 2, 2020

Intake of Baby Cereal is Healthy for Infants: Study

Infant cereal consumption linked to improved nutrient intake

0
//
Infants food
The findings, published in the journal AIMS Public Health, illustrated the importance of rice baby cereal in the diets of infants and toddlers in achieving proper nutrition. Pixabay

Dear parents, please take note. Infants and toddlers who consumed baby cereal, such as rice cereal, had higher intakes of key nutrients of concern, such as calcium, magnesium, iron, zinc and vitamin E, say health and lifestyle researchers.

According to the study, baby cereal consumers were also found to be less likely to have inadequate intakes of iron, calcium and vitamin E — important nutrients for an infant’s development.

The findings, published in the journal AIMS Public Health, illustrated the importance of rice baby cereal in the diets of infants and toddlers in achieving proper nutrition.

Infants food
Infants who consumed baby cereal, such as rice cereal, had higher intakes of key nutrients of concern, such as calcium, magnesium, iron, zinc and vitamin E, say researchers. Pixabay

“The results of this study build a strong case for the benefits of feeding your infant baby cereal,” said the study’s researcher Theresa Nicklas from Baylor College of Medicine in the US.

“As the US Dietary Guidelines Advisory Committee looks to evaluate food patterns and nutrient status of infants aged 0 to 23 months, it is important to consider the role of baby cereal in the diets of infants and toddlers,” Nicklas added.

For the findings, the research team examined National Health and Nutrition Examination Survey (NHANES) data, a national survey of food intake, from 2001 to 2014 to assess food intake in infants and toddlers from birth to 23 months.

The study evaluated four age ranges – ages 0 to 3 months, 4 to 6 months, 7 to 11 months and 12 to 23 months – and the role of cereal consumption such as rice cereal.

Researchers investigated whether baby cereal consumption (e.g. rice cereal) was related to different eating patterns, nutrient status and intakes of added sugars, saturated fat and sodium, when compared to non-cereal consumers.

Infants food
Overall, the study demonstrates there is a strong public health benefit to feeding infants ages 4 to 11 months infant baby cereal. Pixabay

When introduced as early as four months, baby cereal, including rice cereal, is associated with improved nutrient status, the study said.

From four to six months of age, babies who ate cereal took in more calories, carbohydrates, whole grains and key nutrients, like vitamin B6, calcium, iron and magnesium.

As infants get older, the results remained similar. From seven to 11 months, cereal consumers were found to have higher intakes of carbohydrates, vitamin E, calcium, iron, zinc and magnesium. According to the researchers, beyond the first year of life, baby cereal consumption continued to be associated with greater iron, zinc and vitamin E intake.

Also Read- Find Out How Keto Diet Can Lead to Flu-Like Symptoms

Overall, the study demonstrates there is a strong public health benefit to feeding infants ages 4 to 11 months infant baby cereal. Data indicates that feeding cereal, such as rice cereal, as one of babies’ first foods has a positive impact on nutrient status.

Babies who consumed rice and other infant cereals, during the first two years of life, had more complete and balanced nutrition than those who were not fed baby cereal. While more research is needed, this study demonstrates a link between feeding infants and toddlers baby cereal and an improved overall nutrition profile. (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)