Tuesday April 24, 2018

Breastfeeding May Reduce Hypertension Risk

For the study, published in the American Journal of Hypertension, researchers examined 3,119 non-smoking postmenopausal women aged 50 years or older in the 2010-2011 Korea National Health and Nutrition Examination Survey

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Evidence from epidemiologic data has also shown the beneficial effects of breastfeeding on the health of infants and their mothers. Pixabay
Evidence from epidemiologic data has also shown the beneficial effects of breastfeeding on the health of infants and their mothers. Pixabay
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  • Women who breastfeed more children and for a longer duration were less likely to suffer from hypertension after they reach menopause
  • Evidence from epidemiologic data has also shown the beneficial effects of breastfeeding on the health of infants and their mothers
  • The study was published in the American Journal of Hypertension

Breastfeeding mothers, take note! New research suggests that women who breastfeed more children and for a longer duration were less likely to suffer from hypertension after they reach menopause.

According to the researchers, elevated blood pressure is the greatest single risk factor for disease and mortality.

“Our findings endorsed the current recommendations for breastfeeding for the benefit of maternal health in later lives,” said the lead author of the study, Nam-Kyong Choi from Ewha Woman’s University in South Korea.

ALSO READ: World Breastfeeding Week: Breast milk, the answer to malnutrition in children

Evidence from epidemiologic data has also shown the beneficial effects of breastfeeding on the health of infants and their mothers.

It has been well documented that long-term breastfeeding is associated with reduced children’s allergies, celiac disease, obesity, and diabetes mellitus, the researchers said.

However, the effects of breastfeeding on maternal health have been little studied compared with the effects on the children.

Several studies have consistently found that absence of breastfeeding or premature discontinuation was associated with increased risks of diabetes mellitus, dyslipidemia, metabolic syndrome, coronary heart disease and cardiovascular diseases, the researchers mentioned. Pixabay
Several studies have consistently found that absence of breastfeeding or premature discontinuation was associated with increased risks of diabetes mellitus, dyslipidemia, metabolic syndrome, coronary heart disease and cardiovascular diseases, the researchers mentioned. Pixabay

 

For the study, published in the American Journal of Hypertension, researchers examined 3,119 non-smoking postmenopausal women aged 50 years or older in the 2010-2011 Korea National Health and Nutrition Examination Survey.

They found that breastfeeding of more children and for longer duration was associated with lower risk of hypertension in postmenopausal women.

ALSO READ: Breastfeeding of new-born babies during the first hour after birth is less than 50 percent in India

In particular, the highest quintile of a number of children breastfed (five to 11) showed a 51 percent lower risk of hypertension compared with the lowest quintile (zero to one).

The highest quintile of the duration of breastfeeding (96 to 324 months) showed a 45 percent lower risk of hypertension.

The researchers, however, said that this link may prove to be less true in obese women. (IANS)

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Google AI can focus on individual speakers in a crowd

The visual signal not only improves the speech separation quality significantly in cases of mixed speech, but, importantly, it also associates the separated, clean speech tracks

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Google india launches 'Tz' to help people pay their utility bills. Wikimedia Commons
Google AI to identify speakers from crowd. Wikimedia Commons

Just as most smartphone cameras now allow users to focus on a single object among many, it may soon be possible to pick out individual voices in a crowd by suppressing all other sounds, thanks to a new Artificial Intelligence (AI) system developed by Google researchers.

This is an important development as computers as not as good as humans at focusing their attention on a particular person in a noisy environment. Known as the cocktail party effect, the capability to mentally “mute” all other voices and sounds comes natural to us humans.

Google has collaborated with getty images. Wikimedia Commons
Google AI will identify individual speakers now. Wikimedia Commons

However, automatic speech separation — separating an audio signal into its individual speech sources — remains a significant challenge for computers, Inbar Mosseri and Oran Lang, software engineers at Google Research, wrote in a blog post this week. In a new paper, the researchers presented a deep learning audio-visual model for isolating a single speech signal from a mixture of sounds such as other voices and background noise.

“In this work, we are able to computationally produce videos in which speech of specific people is enhanced while all other sounds are suppressed,” Mosseri and Lang said. The method works on ordinary videos with a single audio track, and all that is required from the user is to select the face of the person in the video they want to hear, or to have such a person be selected algorithmically based on context.

Also Read: Want To Know What Facebook, Google Know About You?

The researchers believe this capability can have a wide range of applications, from speech enhancement and recognition in videos, through video conferencing, to improved hearing aids, especially in situations where there are multiple people speaking. “A unique aspect of our technique is in combining both the auditory and visual signals of an input video to separate the speech,” the researchers said.

google
This will also help in speech enhancement . VOA

“Intuitively, movements of a person’s mouth, for example, should correlate with the sounds produced as that person is speaking, which in turn can help identify which parts of the audio correspond to that person,” they explained.

The visual signal not only improves the speech separation quality significantly in cases of mixed speech, but, importantly, it also associates the separated, clean speech tracks with the visible speakers in the video, the researchers said. IANS