Obesity drug may decrease type 2 diabetes risk: Study reveals

New York, Sep 12 (IANS) The risk of type 2 diabetes is more than halved by weekly injections of the new obesity drug semaglutide, which was recently approved in the US and has been provisionally approved in England, says a new study.

The researchers of the study, to be presented at the annual meeting of the European Association for the Study of Diabetes (EASD), said semaglutide reduces the future risk of diabetes by over 60 per cent in patients with obesity.

“Semaglutide appears to be the most effective medication to date for treating obesity and is beginning to close the gap with the amount of weight loss following bariatric surgery,” said researcher W. Timothy Garvey from the University of Alabama at Birmingham in the US.

diabetes

diabetes

Obesity is known to increase the risk of type 2 diabetes at least six-fold and the team was interested in understanding whether semaglutide could reduce this risk. To learn more, they conducted a new analysis of the data from two trials of semaglutide.

In STEP 1, 1,961 overweight or obese participants received an injection of 2.4 mg of semaglutide or a placebo weekly, for 68 weeks.

STEP 4 involved 803 participants with overweight or obesity. All received weekly injections of 2.4 mg semaglutide for 20 weeks. They then either remained on semaglutide or were switched to placebo for the next 48 weeks.

In STEP 1 participants receiving semaglutide, 10-year risk scores for type 2 diabetes decreased by 61 per cent (from 18.2 per cent at week 0 to 7.1 per cent at week 68). This compares to a 13 per cent reduction in risk score for those given the placebo (17.8 per cent at week +0 to 15.6 per cent at week 68).

In the STEP 4 participants, the largest decreases in risk scores were seen in the first 20 weeks (from 20.6 per cent at week 0 to 11.4 per cent at week 20). In those who continued receiving semaglutide, the risk score decreased further to 7.7 per cent but in those who were switched to placebo, it rose to 15.4 per cent.

Insufficient sleep in teenagers leads to obesity: Study

Adolescents who sleep less than eight hours a night are more likely to be overweight or obese compared to their peers with sufficient sleep, said a new study presented at ESC Congress 2022.

Shorter sleepers were also more likely to have a combination of other unhealthy characteristics including excess fat around the middle, elevated blood pressure, and abnormal blood lipid and glucose levels, said the study by Jesús Martínez Gómez, a researcher at the Cardiovascular Health and Imaging Laboratory, Spanish National Centre for Cardiovascular Research (CNIC), Madrid, Spain.

“Our study shows that most teenagers do not get enough sleep and this is connected with excess weight and characteristics that promote weight gain, potentially setting them up for future problems,” said study author Gómez. “We are currently investigating whether poor sleep habits are related to excessive screen time, which could explain why older adolescents get even less sleep than younger ones.”

Sleep/en.wikipedia.org

This study examined the association between sleep duration and health in 1,229 adolescents in the SI! Program for Secondary Schools trial in Spain. Participants had an average age of 12 years at baseline with equal numbers of boys and girls.

Sleep was measured for seven days with a wearable activity tracker three times in each participant at ages 12, 14 and 16 years. For optimal health, the American Academy of Sleep Medicine advises sleeping 9 to 12 hours a night for 6 to 12 year-olds and 8 to 10 hours for 13 to 18 year-olds.To simplify the analysis, the study used 8 hours or more as optimal. Participants were categorized as very short sleepers (less than 7 hours), short sleepers (7 to 8 hours), and optimal (8 hours or more).

Overweight and obesity were determined according to body mass index. The researchers calculated a continuous metabolic syndrome score ranging from negative (healthier) to positive (unhealthier) values that included waist circumference, blood pressure, and blood glucose and lipid levels.

At 12 years of age, only 34% of participants slept at least 8 hours a night, and this dropped to 23% and 19% at 14 and 16 years of age, respectively. Boys tended to get less sleep. Teenagers who got the most sleep also had better quality sleep, meaning they woke up less during the night and spent a higher proportion of the time in bed sleeping compared to those with shorter sleep. The prevalence of overweight/obesity was 27%, 24% and 21% at 12, 14 and 16 years of age, respectively.

Compared with optimal sleepers, overweight/obesity was 21% and 72% more likely in very short sleepers at 12 and 14 years, respectively. Short sleepers were 19% and 29% more likely to be overweight/obese compared with optimal sleepers at 12 and 14 years, respectively. Similarly, both very short and short sleepers had higher average metabolic syndrome scores at 12 and 14 years compared with optimal sleepers.

Mr. Martínez Gómez said: “The connections between insufficient sleep and adverse health were independent of energy intake and physical activity levels, indicating that sleep itself is important.”

Learning and staying in shape key to longer lifespan, study finds

People who are overweight cut their life expectancy by two months for every extra kilogramme of weight they carry, research suggests.

A major study of the genes that underpin longevity has also found that education leads to a longer life, with almost a year added for each year spent studying beyond school.

Other key findings are that people who give up smoking, study for longer and are open to new experiences might expect to live longer.

Scientists at the University of Edinburgh analysed genetic information from more than 600,000 people alongside records of their parents’ lifespan.

Because people share half of their genetic information with each of their parents, the team were able to calculate the impact of various genes on life expectancy.

Lifestyle choices are influenced to a certain extent by our DNA – genes, for example, have been linked to increased alcohol consumption and addiction. The researchers were therefore able to work out which have the greatest influence on lifespan.

Their method was designed to rule out the chances that any observed associations could be caused by a separate, linked factor. This enabled them to pinpoint exactly which lifestyle factors cause people to live longer, or shorter, lives.

They found that cigarette smoking and traits associated with lung cancer had the greatest impact on shortening lifespan.

For example, smoking a packet of cigarettes per day over a lifetime knocks an average of seven years off life expectancy, they calculated. But smokers who give up can eventually expect to live as long as somebody who has never smoked.

Body fat and other factors linked to diabetes also have a negative influence on life expectancy.

The study also identified two new DNA differences that affect lifespan. The first – in a gene that affects blood cholesterol levels – reduces lifespan by around eight months. The second – in a gene linked to the immune system – adds around half a year to life expectancy.

The research, published in Nature Communications, was funded by the Medical Research Council.

Data was drawn from 25 separate population studies from Europe, Australia and North America, including the UK Biobank – a major study into the role of genetics and lifestyle in health and disease.

Professor Jim Wilson, of the University of Edinburgh’s Usher Institute, said: “The power of big data and genetics allow us to compare the effect of different behaviours and diseases in terms of months and years of life lost or gained, and to distinguish between mere association and causal effect.”

Dr Peter Joshi, Chancellor’s Fellow at the University of Edinburgh’s Usher Institute, said: “Our study has estimated the causal effect of lifestyle choices. We found that, on average, smoking a pack a day reduces lifespan by seven years, whilst losing one kilogram of weight will increase your lifespan by two months.”

Weight loss for adults at any age leads to cost savings, study suggests

Helping an adult lose weight leads to significant cost savings at any age, with those savings peaking at age 50, suggests a new Johns Hopkins Bloomberg School of Public Health study.

The findings, which will be published online September 26 in the journal Obesity, suggests that a 20-year-old adult who goes from being obese to overweight would save an average of $17,655 in direct medical costs and productivity losses over their lifetime. If the same person were to go from being obese to a healthy weight, an average savings of $28,020 in direct medical costs and productivity losses can occur. Helping a 40-year-old adult go from being obese to overweight can save an average of $18,262. If the same person went from being obese to normal weight, an average savings of $31,447 can follow.

A high body mass index (BMI) is linked to a higher risk of serious conditions like diabetes, cardiovascular disease and some cancers. Subsequently, a high BMI and associated conditions can lead to high medical and societal costs and productivity losses. More than 70 percent of adults in the U.S. are considered to be overweight or obese, which in direct medical expenses alone costs nearly $210 billion per year.

“Over half the costs of being overweight can be from productivity losses, mainly due to missed work days but also productivity losses. This means that just focusing on medical costs misses a big part of the picture, though they’re a consideration, too,” says Bruce Y. Lee, MD, MBA, executive director of the Global Obesity Prevention Center (GOPC) at the Bloomberg School. “Productivity losses affect businesses, which in turn affects the economy, which then affects everyone.”

When absenteeism occurs in the workforce, others, at times, have to take on a larger workload. This all funnels downstream and adds to the societal costs of obesity. And health insurance premiums increase across the board, even for healthy patients, as insurers spread the cost of obesity and its associated conditions.

For the study, the researchers developed a computational simulation model to represent the U.S. adult population to show the lifetime costs and health effects for an individual with obesity, overweight and healthy weight statuses at ages 20 through 80 in increments of 10. The model used data from the Coronary Artery Disease Risk Development in Young Adults (CARDIA) and Atherosclerosis Risk in Communities (ARIC) studies and included 15 mutually exclusive health statuses that represented every combination of three BMI categories (normal weight, overweight and obesity) and five chronic health stages.

The model simulated the weight and health status of an adult as he or she ages year by year throughout his or her lifetime to track the individual medical costs and productivity losses of each person. The estimated direct medical costs to the insurer and health care facility, productivity losses and sick time were included.

The research team found that cost savings peak at age 50 with an average total savings of $36,278. After age 50, the largest cost savings occur when an individual with obesity moves to the normal weight category as opposed to the overweight category, emphasizing the importance of weight loss as people age. This finding is important because people aged 50 and older make up more than 60% incremental societal costs, which includes higher taxes to support government insurance and higher copays and other out-of-pocket expenses.

“Most previous models have taken into account one or a few health risks associated with obesity. Subsequently, the forecasted costs may be unrealistic,” says Saeideh Fallah-Fini, PhD, a former GOPC visiting scholar who was part of the research team. “In our study, the model we developed takes into account a range of immediate health complications associated with body weight, like hypertension or diabetes, as well as all major long-term adverse health outcomes, including heart disease and some types of cancer, in forecasting the incremental health effects and costs to give a realistic calculation.”

Results from this study could inform policymakers about the specific implications and costs associated with obesity in order to design more successful interventions that are tailored to specific groups (defined by age, current health condition and weight). Understanding the resulting lifetime costs and health effects for an individual with obesity at different ages can also aid physicians and other health care professionals in implementing more targeted preventive management decisions for patients with high BMIs and associated health conditions. On the flip side, it could be beneficial for patients to better understand the health outcomes associated with potential future health risks and impending medical costs, given their existing BMI status and health condition.

Finally, realizing the reverberating effects of obesity on the productivity of their employees and consequently their profits, employers may look to redesign or sponsor healthy lifestyle programs with weight-loss initiatives. In turn, this could decrease absenteeism and poor performance. “In the end, the heart of a business is its employees,” says Lee. “Having employees who are overweight and unhealthy is akin to a football team trying to compete with chronically injured players.”

Is childhood obesity a psychological disorder?

A team of researchers, including senior investigator, Bradley Peterson, MD, director of the Institute for the Developing Mind at Children’s Hospital Los Angeles, used fMRI to investigate neural responses to food cues in overweight compared with lean adolescents. The team observed that food stimuli activated regions of the brain associated with reward and emotion in all groups. However, adolescents at an increasing risk for obesity had progressively less neural activity in circuits of the brain that support self-regulation and attention.

“This study establishes that risk for obesity isn’t driven exclusively by the absence or presence of urges to eat high-calorie foods, but also, and perhaps most importantly, by the ability to control those urges,” said Peterson, who is also a professor at the Keck School of Medicine at the University of Southern California.

The public health implications of childhood obesity are staggering. More than half of all adolescents in the U.S. are either overweight or obese. Children of overweight parents (2/3 of adults in the U.S.) already are or are likely to become overweight. Since excess weight has been linked to a myriad of health issues shown to limit human potential and add to the skyrocketing cost of healthcare, researchers are actively seeking novel approaches to understand better the causes of obesity and alter its trajectory. This study, recently reported in the journal NeuroImage, may offer such an approach.

“We wanted to use brain imaging to investigate a key question in obesity science: why do some people become obese, while others don’t?” said Susan Carnell, PhD, assistant professor of Child & Adolescent Psychiatry, Johns Hopkins University School of Medicine and first author on the study.

Of the 36 adolescents (ages 14 to 19 years) enrolled in the study, 10 were overweight/obese, 16 were lean but considered at high risk for obesity because they had overweight/obese mothers and 10 were lean/low risk since they had lean mothers. The adolescents underwent brain scanning using fMRI, while they viewed words that described high-fat foods, low-fat foods and non-food items. Then they rated their appetite in response to each word stimulus. Following the activity, all participants were offered a buffet that included low- and high-calorie foods — to relate participants test responses to real-world behavior.

The investigators observed that after viewing food-related words, brain circuits that support reward and emotion were stimulated in all participants. In adolescents who were obese or who were lean but at high familial risk for obesity, they observed less activation in attention and self-regulation circuits.

Brain circuits that support attention and self-regulation showed the greatest activation in lean/low-risk adolescents, less activity in lean/high-risk participants and least activation in the overweight/obese group. Also, real world relevance mirrored fMRI findings — food intake at the buffet was greatest in the overweight/obese participants, followed by the lean/high-risk adolescents and lowest in the lean/low-risk group.

“These findings suggest that interventions designed to stimulate the self-regulatory system in adolescents may provide a new approach for treating and preventing obesity,” said Peterson.

Dulled taste may prompt more calories on path to obesity

Cornell University food scientists have found that people with a diminished ability to taste food choose sweeter – and likely higher-calorie – fare. This could put people on the path to gaining weight.

“We found that the more people lost sensitivity to sweetness, the more sugar they wanted in their foods,” said lead author Robin Dando, assistant professor of food science, whose research has been published online by the journal Appetite.

Nutritionists, researchers and doctors have long suspected a connection between diminished taste sensitivity and obesity, but no one had tested if losing taste altered intake. In his research, Dando temporarily dulled the taste buds of study participants and had them sample foods of varying sugar concentrations.

For the blind tests, the researchers provided participants with an herbal tea with low, medium or high concentrations of a naturally occurring herb, Gymnema Sylvestre, which is known to temporarily block sweet receptors. During the testing, participants added their favored levels of sweetness to bland concoctions.

Without realizing it, they gravitated to 8 to 12 percent sucrose. Soft drinks are generally around 10 percent sugar. “That’s not a coincidence,” said Dando. But those participants with their taste receptors blocked began to prefer higher concentrations of sugar.

“Others have suggested that the overweight may have a reduction in their perceived intensity of taste. So, if an overweight or obese person has a diminished sense of taste, our research shows that they may begin to seek out more intense stimuli to attain a satisfactory level of reward,” explained Dando. This can influence their eating habits to compensate for a lower taste response, he said.

The study showed that for a regular, sugary 16-ounce soft drink, a person with a 20 percent reduction in the ability to taste sweet would crave an extra teaspoon of sugar to reach an optimal level of sweetness, as compared to someone with unaltered taste response.

“The gustatory system – that is, the taste system we have – may serve as an important nexus in understanding the development of obesity. With this in mind, taste dysfunction should be considered as a factor,” Dando said.

Life Style Diseases

The Indian Council of Medical Research (ICMR) is conducting a study namely ICMR-INDIAB involving all States and Union Territories – both urban and rural population for ascertaining the exact number of Diabetic patients. 15 States have been covered so far and the prevalence of diabetes varies from 4.3% in Bihar to 13.6% in Chandigarh.

According to report published by International Diabetes Federation (IDF; 6th Edition, 2013), number of people with diabetes (20-79 years) in Urban setting of India were about 30.5 millions in 2013.

As informed by Indian Council of Medical Research (ICMR), current estimates from one-time cross sectional studies conducted in different regions of country indicate that the prevalence of coronary heart disease (CHD) is between 8-10 percent in urbanand 3 to 4 percent in rural India.

As informed by ICMR the estimated prevalence of cancer cases in India during 2013, 2014 and 2015 are 2934314, 3016628 and 3101467 respectively.

Nationwide scientific estimation of number of patients of Chronic Kidney Diseases (CKD) has not been carried out. However, in some of the small population based studies, it was found to be in 0.79 % in North India and 0.16% in South India.

National Center for Disease Informatics and Research (NCDIR), Bengaluru is running Hospital and Population based Cancer Registries. As informed by ICMR some studies have been conducted on NCDs. A study is commissioned to ICMR on Burden of Non-Communicable Diseases and Associated Risk Factors for India (BOD-NCD).

The factors responsible for increase in Lifestyle Diseases (NCDs) are unhealthy diet, lack of physical activity, harmful use of alcohol, overweight, obesity, tobacco use, etc.

Public health is a State subject, however, under National Health Mission(NHM), financial and technical support is provided to States/UTs to strengthen their healthcare systems including setting up of / upgradation of public health facilities, based on the requirements posed by the States/UTs in their Programme Implementation Plans (PIPs).

Government of India is implementing National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke (NPCDCS) for interventions up to District level under the National Health Mission. Under NPCDCS, diagnosis and treatment facilities are provided through different levels of healthcare by setting up NCD Clinics in District Hospitals and Community Health Centres (CHCs). Intervention of Chronic Kidney Diseases (CKD) has also been included in NPCDCS for proper management.

For early diagnosis, Population-based Screening of common NCDs viz. Diabetes, Hypertension and Common cancers (Oral, Breast, Cervical) is initiated under NHM utilizing the services of the Frontline- workers and Health-workers under existing Primary Healthcare System. This process will also generate awareness on risk factors of common NCDs.

Under strengthening of Tertiary Care for Cancer Centre (TCCC) Scheme, Government of India is assisting States to set up / establish State Cancer Institute (SCI) and Tertiary Care Cancer Centres (TCCCs) in different parts of the country. Support under the National Health Mission (NHM) is also being provided to States for provision of dialysis services free of cost to the poor under Pradhanmantri National Dialysis Programme (PNDP).

The Central Government, through its hospitals augments the efforts of the State Governments for providing health services in the country. Under Pradhan Mantri Swasthya Suraksha Yojana (PMSSY), 6 new AIIMS have been set up and upgradation of identified medical colleges has been undertaken which will also improve health care facilities.

The Minister of State (Health and Family Welfare), Smt Anupriya Patel stated this in a written reply in the Lok Sabha here today.