Discover and read the best of Twitter Threads about #OBESITY
Most recents (24)
Here, compared with men at the lowest end of the normal BMI spectrum, increased risk for an early acute coronary event was detectable already within the normal range of BMI at the age of 18 years, increasing to >5‐fold in the highest weight category at the age of 40 years. 
- Coronary heart disease remains the dominant cause of death worldwide.
- This study aimed to determine whether body mass index at conscription predicts early acute coronary events among men in Sweden.
Here, a triple agonist that interacts with GLP-1, neuropeptide Y1&Y2 receptors, regulated insulin secretion in rat and human pancreatic islets, promoted insulin-independent Y1-R-mediated glucose uptake in rat muscle tissue ex vivo and reduced food intake and body weight in rats.
- Mechanisms underlying long-term sustained weight loss and glycemic normalization after obesity surgery include changes in gut hormone levels, including glucagon-like peptide 1 (GLP-1) and peptide YY (PYY).
- PYY1–36 is a gut hormone that binds to the Y1-R in pancreatic islets and central nervous system nuclei that control appetite regulation in the brain including the brainstem area postrema and nucleus tractus solitarius, where it has an orexigenic effect.
This systematic review and meta-analysis suggests that the dietary resemblance between parents and children are most likely to be weak to moderate for most aspects of dietary intakes.
- There is a strong societal belief that parents are role models for their child's dietary behaviours in early life that may persist throughout the life course.
Evidence has shown inconclusive dietary resemblance in parent-child pairs.
Evidence has shown inconclusive dietary resemblance in parent-child pairs.
- This systematic review and meta-analysis aimed to examine dietary resemblance between parent and children.
The findings of this study suggest that inflammation (glycated proteins and small:total HDL particle ratio) and muscle metabolism (creatinine, creatine) may play a substantial role in the development of type 2 diabetes.
- The aim of this study was to combine nuclear magnetic resonance-based metabolomics and machine learning to find a glucose-independent molecular signature associated with future type 2 diabetes mellitus development.
- A case-control design nested in a population-based cohort (Di@bet.es study) was used in this study.
#WALKING🚶♂️ CAN HALF THE INFLUENCE OF GENES ON #OBESITY
❎ Watching too much television📺 can worsen your genetic tendency towards obesity,
✅ But you can cut the effect in half if you walk briskly for an hour a day🚶♂️⌚, report researchers at the sciencedaily.com/releases/2012/…
❎ Watching too much television📺 can worsen your genetic tendency towards obesity,
✅ But you can cut the effect in half if you walk briskly for an hour a day🚶♂️⌚, report researchers at the sciencedaily.com/releases/2012/…
American Heart Association's 2012 Scientific Sessions on Epidemiology and Prevention/Nutrition, Physical Activity and Metabolism
❌A sedentary lifestyle🛌 marked by watching TV 4 hours a day increased genetic influence by 50 percent👀
❌A sedentary lifestyle🛌 marked by watching TV 4 hours a day increased genetic influence by 50 percent👀
🤓 Each gene that increases BMI 👉 was associated with 0.13 kilograms/square meter (kg/m 2 ) in BMI.
🚴♂️ The highest level of physical activity significantly reduced Obese genes 👉 reducing BMI 👉 comparing 0.08 vs. 0.15 kg/m 2
🚴♂️ The highest level of physical activity significantly reduced Obese genes 👉 reducing BMI 👉 comparing 0.08 vs. 0.15 kg/m 2
In this one, a higher cardiovascular risk, as assessed by the Framingham 10‐year cardiovascular disease risk score, was associated with poorer cognitive function among older adults living in the US.
- The Framingham 10‐year cardiovascular disease risk score is based on age, sex, smoking, total cholesterol, high‐density lipoprotein‐cholesterol, blood pressure, and diabetes.
- It was found to be associated with lower cognitive function among older adults, including overall cognition and particular domains of cognition, such as executive function and processing speed, and immediate and delayed memory.
Using linear and non-linear Mendelian randomization analyses, this one suggests that a higher adiposity, as measured by BMI, is causally associated with an increased risk for rheumatic disease, an effect that is more pronounced in women for both gout and psoriatic arthropathy.
- A genetic predisposition to high BMI is was found to be causally linked to a higher risk of developing psoriatic arthropathy and inflammatory spondylitis.
- For psoriatic arthropathy and gout, sex-specific effects were observed, and for osteoarthritis, the effect of BMI was stronger in premenopausal compared to postmenopausal women.
In this one, both an elevated lipid accumulation product (LAP) and an visceral adiposity index (VAI), were associated with an increased risk for early-onset type 2 diabetes among young Chinese adults.
- The lipid accumulation product (LAP) is a marker designed to measure cardiovascular disease risk factors that integrates waist circumference, an indicator of abdominal obesity, and triglyceride levels.
* LAP index (females)=TG (mmol/L)×(WC [cm]−58)
* LAP index (males)=TG (mmol/L)×(WC [cm]−65)
* LAP index (males)=TG (mmol/L)×(WC [cm]−65)
This study aimed to identify risk phenotypes for sarcopenia in apparently healthy youth aged 10–18 years, using clustering analysis procedures based on body composition and musculoskeletal fitness.
- Two risk phenotypes for sarcopenia were identified in apparently healthy young people:
* a low lean body mass index phenotype with low BMI
* a lean body mass/fat body mass ratio phenotype with high BMI and fat body mass index.
* a low lean body mass index phenotype with low BMI
* a lean body mass/fat body mass ratio phenotype with high BMI and fat body mass index.
In both risk phenotypes, musculoskeletal fitness was low.
Food addiction is real and is related to #obesity and #diabetes
1. Food #addiction (FA) syndrome can be diagnosed by using Yale Food Addiction Scale (YFAS). There are 11 possible symptoms, which can be used to diagnose FA, as well as grade its severity.
#Diet #MedTwitter
1. Food #addiction (FA) syndrome can be diagnosed by using Yale Food Addiction Scale (YFAS). There are 11 possible symptoms, which can be used to diagnose FA, as well as grade its severity.
#Diet #MedTwitter
2. Clinical diagnosis of food addiction (FA)
Individuals can meet a “diagnostic” score for FA on the current versions of the YFAS by endorsing at least two of the 11 behavioral indicators of addiction plus clinical impairment/distress.
#psychtwitter
Individuals can meet a “diagnostic” score for FA on the current versions of the YFAS by endorsing at least two of the 11 behavioral indicators of addiction plus clinical impairment/distress.
#psychtwitter
3. Severity of Food addiction
Severity thresholds for this “diagnostic” score are defined by the number of symptoms endorsed
(mild: 2–3 symptoms;
moderate: 4–5 symptoms;
severe: 6–11 symptoms)
Severity thresholds for this “diagnostic” score are defined by the number of symptoms endorsed
(mild: 2–3 symptoms;
moderate: 4–5 symptoms;
severe: 6–11 symptoms)
#IndianFood #Pizza #obesity
1. The Indian snacks market size is approx Rs 40,000 crores. Some of the manufacturers of snacks have opted for halal certification keeping in mind the Middle East market. With the advent of home delivery, pizza and burgers are having a field day. ..2.
1. The Indian snacks market size is approx Rs 40,000 crores. Some of the manufacturers of snacks have opted for halal certification keeping in mind the Middle East market. With the advent of home delivery, pizza and burgers are having a field day. ..2.
2. The Indian pizza market is approximately $2 billion (Rs16,460 crores).We often find children not eating vegetables and fruits but willingly consuming pizza. They are thus deprived of a balanced diet and are prone to obesity. Among South Indian food, idli and dosa are both ..3.
3. nutritious and has less calories. One idli of 40g has 58 calories and 1 dosa has 234 calories. Our Indian snacks like vada pav and Dabheli(Gujarat) have been popular for a very long time. When it comes to Singara(Samosa of Bengal) versus Samosa, a Bengali will opt for ..4..
In this nationally representative sample of US youths at higher risk for type 2 diabetes due to elevated BMI, risk perception and risk awareness were not found associated with greater engagement in diabetes risk-reducing behaviors.
- Instead, greater diabetes risk perception was associated with more time spent watching TV and fewer days of adequate physical activity, whereas awareness was not associated with reported health behaviors.
- Some health care access barriers, including measures of economic disadvantage, were associated with adverse patterns of health behaviors such as lower levels of physical activity.
In this one, an evening chronotype was associated with emotional eating in three diverse international cohorts.
- "Chronotype" describes the individual preference in sleep and wake timing.
An evening chronotype is usually described as a natural inclination toward later timing of eating patterns, sleep, and activity/work periods.
Interesting to see anti #obesity and #diabetes #medication management from the perspective of PharmDs
I'm always pro-collaborative care!
Here are some learning points and fact checks:
#AACE2023 #endocrine #endocrinology #pharmacology
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I'm always pro-collaborative care!
Here are some learning points and fact checks:
#AACE2023 #endocrine #endocrinology #pharmacology
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- "Tirzepatide is a dual agonist"
👉It ↑GIP activity but GLP-1R agonism is less than that of endogenous GLP-1
- "Hypoglycemia is not a concern if you're not on insulin"
👉Risk of hypoglycemia ~1.4% vs. 0.2% in placebo in SURMOUNT-1
nejm.org/doi/full/10.10…
2/
👉It ↑GIP activity but GLP-1R agonism is less than that of endogenous GLP-1
- "Hypoglycemia is not a concern if you're not on insulin"
👉Risk of hypoglycemia ~1.4% vs. 0.2% in placebo in SURMOUNT-1
nejm.org/doi/full/10.10…
2/
- "In this pt with uncontrolled #diabetes, A1c 7.4, we decreased glargine by 10% [when we started tirzepatide]"
👉 Not sure where the evidence is here, but the SURPASS-5 trial protocol reduced basal by 20% in participants with baseline A1c<8
jamanetwork.com/journals/jama/…
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👉 Not sure where the evidence is here, but the SURPASS-5 trial protocol reduced basal by 20% in participants with baseline A1c<8
jamanetwork.com/journals/jama/…
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@DrKarlNadolsky presents the overarching themes and calls to action of @TheAACE 's new #obesity guidelines:
#AACE2023
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#AACE2023
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👉Reduce #WeightStigma
The bidirectional relationship between #weightbias and #obesity is unequivocal
I'm moved by the enormous consensus among multiple professional societies, MDs PhDs MPHs experts etc, on how important this is
@ConscienHealth @scottkahan
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The bidirectional relationship between #weightbias and #obesity is unequivocal
I'm moved by the enormous consensus among multiple professional societies, MDs PhDs MPHs experts etc, on how important this is
@ConscienHealth @scottkahan
2/
👉Refocus on the Psychological Health and Social Determinants of Health
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@alpanashuklamd et al examined the effect of macronutrient sequencing (carbs first vs carbs last) in ppl with diabetes, prediabetes, or gestational diabetes
This study looked at those with prediabetes:
dom-pubs.onlinelibrary.wiley.com/doi/abs/10.111…
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This study looked at those with prediabetes:
dom-pubs.onlinelibrary.wiley.com/doi/abs/10.111…
2/
Among those with prediabetes, we saw significant differences in glucose, insulin, ghrelin, and GLP-1 -- all favoring the "carbohydrates-last" food order
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Always a pleasure to listen to @KevinH_PhD discuss his testing of hypotheses in contributors to #obesity
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Many people remember his 14-day study of ultra processed foods (UPF) vs unprocessed foods (n=20) that found energy intake was ~500 kcal/d LESS with unprocessed meals
cell.com/cell-metabolis…
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cell.com/cell-metabolis…
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Details you might not know:
- Groups were not matched for type of sugar
- No hint of a difference in insulin sensitivity between groups based on OGTT results
- Groups were not matched for beverage amount (and implication for speed of food intake)
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- Groups were not matched for type of sugar
- No hint of a difference in insulin sensitivity between groups based on OGTT results
- Groups were not matched for beverage amount (and implication for speed of food intake)
3/
Ready for an #obesity #research disruptor?
@bcorkey 's studies on hyperinsulinemia and inflammation are a perennial favorite
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@bcorkey 's studies on hyperinsulinemia and inflammation are a perennial favorite
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We often focus on slow or fast metabolism but there isn't enough talk on *energy efficiency*. See how much additional Δkcal is required (beyond that calculated) to effect 10% weight Δ: nejm.org/doi/full/10.10…
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Tony Ferrante MD PhD of @ColumbiaMed providing an excellent systems based overview of the "metabolic" complications of #obesity and potential mechanisms: lipotoxicity, inflammation, adipokines
Some highlights:
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Some highlights:
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Neurology:
Check out this relationship where higher BMI is associated with ↑ risk of #dementia EXCEPT in age >70 when it's better to be in "overweight" category
👉Aiming for a "normal BMI" is not the best goal for everyone
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Check out this relationship where higher BMI is associated with ↑ risk of #dementia EXCEPT in age >70 when it's better to be in "overweight" category
👉Aiming for a "normal BMI" is not the best goal for everyone
2/
For example:
Are you asking patients to "try lifestyle changes" first before referring them to specialty care? (eg, endocrinology, bariatric surgery)
This is a subtle example of #weightbias
(Assuming they haven't tried already)
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Are you asking patients to "try lifestyle changes" first before referring them to specialty care? (eg, endocrinology, bariatric surgery)
This is a subtle example of #weightbias
(Assuming they haven't tried already)
2/
A 2009 study found that MDs self-reported less respect for patients with higher BMI
ncbi.nlm.nih.gov/pmc/articles/P…
There must be longitudinal studies demonstrating this has improved since 2009??? @scottkahan @ConscienHealth
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ncbi.nlm.nih.gov/pmc/articles/P…
There must be longitudinal studies demonstrating this has improved since 2009??? @scottkahan @ConscienHealth
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Key quote:
"The RISK of developing obesity comes from genes."
Note that he doesn't say obesity itself is caused by genes. This would be an oversimplification!
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"The RISK of developing obesity comes from genes."
Note that he doesn't say obesity itself is caused by genes. This would be an oversimplification!
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You've seen this graph in several versions. This is what happens when genes set a risk level and the environment selects for it, resulting in a specific phenotype
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Paper from the @IAEANA dlwdatabase.org group @NatMetabolism , this one led by @JohnSpeakman4 tracking changes in daily expenditure over the past 40 years. Some fun stuff to unpack! 1/
nature.com/articles/s4225…
nature.com/articles/s4225…
One possible reason for the #obesity pandemic is ⬇️expenditure. @WHO for example cites "physical inactivity due to the increasingly sedentary nature of many forms of work" as a major cause of obesity. But has Activity Expenditure really declined? 2/
who.int/news-room/fact…
who.int/news-room/fact…
The dlwdatabase.org allows us to test that idea, with >7,000 measures of daily expenditure starting in 1982. For this study, we had >4,000 adults including >1,400 with BMR to test for declines in expenditure 3/
In this one, obesity, but not overweight, was associated with a higher risk of death from middle to older age, irrespective of the adiposity index used, suggesting that obesity should be prevented across the lifespan, including in individuals up to 85 years of age.
- Lower risk of mortality in older participants with overweight compared with normal weight when adiposity was assessed by the fat mass index was observed.
- However, the magnitude of this association was small and probably not clinically meaningful.
This systematic review and meta-analysis suggests that adherence to a healthy lifestyle is likely to reduce the risk of breast cancer.
- The main components included in the healthy lifestyle indices were: diet, physical activity, alcohol consumption and body mass index (BMI); followed by tobacco consumption, supplements use, and breastfeeding.
- Most of the prospective studies included five variables in the index : diet, physical activity, alcohol and tobacco consumption and BMI...
