The downside of normalisation of 'plus-size'

Agencies
June 23, 2018

London, Jun 23: Normalisation of ‘plus-size’ body shapes lead to an increasing number of people underestimating their weight - undermining efforts to tackle the problem of obesity.

While attempts to reduce stigmatisation of larger body sizes - for example with the launch of plus-size clothing ranges - help promote body positivity, the study highlights an unintentional negative consequence that may prevent recognition of the health risks of being overweight.

The study by Raya Muttarak, from the University of East Anglia (UEA) in the UK and the International Institute for Applied Systems Analysis (IIASA) in Austria, examined the demographic and socioeconomic characteristics associated with underestimation of weight status to reveal social inequalities in patterns of weight misperception.

Analysis of data from almost 23,460 people who are overweight or obese revealed that weight misperception has increased in England.

Men and individuals with lower levels of education and income are more likely to underestimate their weight status and consequently less likely to try to lose weight.

Members of minority ethnic groups are also more likely to underestimate their weight than the white population, however they are more likely to try to lose weight. Overall, those underestimating their weight are 85 per cent less likely to try to lose weight compared with people who accurately identified their weight status.

The results, published in the journal Obesity, show that the number of overweight individuals who are misperceiving their weight has increased over time, from 48.4 to 57.9 per cent in men and 24.5 to 30.6 per cent in women between 1997 and 2015.

Similarly, among individuals classified as obese, the proportion of men misperceiving their weight in 2015 was almost double that of 1997 (12 vs 6.6 per cent).

“Seeing the huge potential of the fuller-sized fashion market, retailers may have contributed to the normalisation of being overweight and obese,” said Muttarak.

“While this type of body positive movement helps reduce stigmatisation of larger-sized bodies, it can potentially undermine the recognition of being overweight and its health consequences,” she said.

The study used data from the annual Health Survey for England, which contains a question on weight perception.

Focusing on respondents with a BMI of 25 or over, about two-thirds were classified as being overweight and one-third as obese. In order to assess trends in self-perception of weight status, the analysis was based on pooled data from five years - 1997, 1998, 2002, 2014, 2015 - of the survey.

The proportion underestimating their weight status was higher among overweight individuals compared with those with obesity (40.8 per cent vs 8.4 per cent).

Correspondingly, only about half of overweight individuals were trying to lose weight compared with more than two-thirds of people with obesity.

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Agencies
July 2,2020

London, Jul 2: The World Health Organisation says smoking is linked to a higher risk of severe illness and death from the coronavirus in hospitalised patients, although it was unable to specify exactly how much greater those risks might be.

In a scientific brief published this week, the U.N. health agency reviewed 34 published studies on the association between smoking and Covid-19, including the probability of infection, hospitalisation, severity of disease and death.

WHO noted that smokers represent up to 18% of hospitalised coronavirus patients and that there appeared to be a significant link between whether or not patients smoked and the severity of disease they suffered, the type of hospital interventions required and patients' risk of dying.

In April, French researchers released a small study suggesting smokers were at less risk of catching Covid-19 and planned to test nicotine patches on patients and health workers — but their findings were questioned by many scientists at the time who cited the lack of definitive data.

WHO says "the available evidence suggests that smoking is associated with increased severity of disease and death in hospitalized Covid-19 patients. It recommends that smokers quit.

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Agencies
January 5,2020

Washington D.C., Jan 5: After a woman filed a lawsuit against a diet soda company, the California court has declared that the beverage does not promise to help buyers in losing weight.

The woman had gulped down the drink for over a decade but did not lose inches as a result.

The three-judge panel declared during the hearing: "The prevalent understanding of the term in (the marketplace) is that the 'diet' version of a soft drink has fewer calories than its 'regular' counterpart."

However, the members of the US 9th circuit court have felt that the consumers tend to make out something of their own that is unreasonable and eventually hamper the reputation of brands through a deceptive allegation, reports Fox News.

The response was due to a misleading case filed against Diet Dr Pepper by Shana Becerra from Santa Rosa, California. Shana claimed that she has been addictively purchasing the low-calorie beverage for the past 13 years hoping for losing some fat but failed to lose even a single inch.

The woman also stated that the attractive and fit models misled her into believing that drink will help her in perfecting her body like them.

However, the court's decision was that advertisements are for representational purposes only. "Cannot be reasonably understood to convey any specific meaning at all," as written by Judge Jay Bybee.

Shana had last week made such allegation against Diet coke as well where the court came to a similar verdict. She claimed that she had found various studies where it is evident that the artificial sweetener aspartame used in diet beverages actually boosts weight gain.

But the artificial sweetener is approved in by the concerned administrative department and thus is used in most American drinks.

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News Network
February 26,2020

New York, Feb 26:  A new wearable sensor that works in conjunction with artificial intelligence (AI) technology could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs, says a study.

The researchers said the system could eventually help avert up to one in three heart failure readmissions in the weeks following initial discharge from the hospital and help patients sustain a better quality of life.

"This study shows that we can accurately predict the likelihood of hospitalisation for heart failure deterioration well before doctors and patients know that something is wrong," says the study's lead author Josef Stehlik from University of Utah in the US.

"Being able to readily detect changes in the heart sufficiently early will allow physicians to initiate prompt interventions that could prevent rehospitalisation and stave off worsening heart failure," Stehlik added.

According to the researchers, even if patients survive, they have poor functional capacity, poor exercise tolerance and low quality of life after hospitalisations.

"This patch, this new diagnostic tool, could potentially help us prevent hospitalizations and decline in patient status," Stehlik said.

For the findings, published in the journal Circulation: Heart Failure, the researchers followed 100 heart failure patients, average age 68, who were diagnosed and treated at four veterans administration (VA) hospitals in Utah, Texas, California, and Florida.

After discharge, participants wore an adhesive sensor patch on their chests 24 hours a day for up to three months.

The sensor monitored continuous electrocardiogram (ECG) and motion of each subject.

This information was transmitted from the sensor via Bluetooth to a smartphone and then passed on to an analytics platform, developed by PhysIQ, on a secure server, which derived heart rate, heart rhythm, respiratory rate, walking, sleep, body posture and other normal activities.

Using artificial intelligence, the analytics established a normal baseline for each patient. When the data deviated from normal, the platform generated an indication that the patient's heart failure was getting worse.

Overall, the system accurately predicted the impending need for hospitalization more than 80 per cent of the time.

On average, this prediction occurred 10.4 days before a readmission took place (median 6.5 days), the study said.

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