Contrary to some studies suggesting that time‐restricted eating could improve circadian rhythms and play a role in metabolic regulation, this one found that the frequency and the size, rather than the timing, of meals to be stronger determinants of weight change over time.
- The window of time between first to last meal was not associated with weight change over an average of about 6 years of follow‐up.
- The average daily number of large and medium meals was associated with increased weight over time, suggesting that the meal frequency and meal sizes, rather than the timing of meals, was a stronger determinant of weight gain over time.
- On the contrary, the number of small meals was inversely associated with weight change.
- Analysis also suggested that some dietary behaviors, such as the total number of meals per day, may be representative of long‐term dietary patterns and were found to be associated with weight trajectories up to 10 years before the time of dietary measurements.
That said, some of the findings may suggest advantages to an eTRF approach:
- Individuals with shorter time from wake up to first meal and with longer time from last meal to sleep appeared to have less weight increase.
Association of Eating and Sleeping Intervals With Weight Change Over Time: The Daily24 Cohort (open access)

doi.org/10.1161/JAHA.1…

#nutrition #diet #weightloss #Fasting #IntermittentFasting

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Nick Krontiris

Nick Krontiris Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @nick_krontiris

Jan 20
This one suggests that even though screen-viewing was higher post-lockdown compared to pre-COVID-19 and the high increases reported in previous studies have not, on average, been sustained post-lockdown, not all families were able to break this habit in children.
- The aim of this paper is to examine how screen-viewing changed in 10–11-year-old children over the COVID-19 pandemic in the UK, how this compares to before the pandemic, and what are the influences on screen-viewing behaviour.
- Although screen-viewing was higher post-lockdown compared to pre-COVID-19, the high increases reported during lockdowns were not, on average, sustained post-lockdown.
Read 5 tweets
Jan 20
Here, both metabolically healthy and metabolically unhealthy obesity were associated with higher risk of cancer, although though the risk relationships were weaker in the latter case.
- The combination of obesity and metabolically unhealthy status conveyed the highest risk of any obesity-related cancer, compared to other combinations of BMI and metabolic health status.
- The increased risk was found for most obesity-related cancers, with the highest relative risks found for endometrial, liver, and renal cell cancer.
Read 6 tweets
Jan 20
This one provides further evidence to the notion that that muscle growth does not contribute to the increases in strength that occur after resistance training.
- Often the presence of muscle growth is used as evidence for its causal role in improving strength.
- However, the purported paradigm that muscle growth contributes to strength change became less clear with the emergence of low-load (or no external load) resistance training...
Read 11 tweets
Jan 20
The findings of this one suggest that muscle fatigue per se cannot explain the loss of work efficiency during constant-load exercise above the gas exchange threshold (~50%-60% of VO2max), but muscle activation heterogeneity and metabolism can partially account for both.
- No temporal relationship between loss of work efficiency and the behaviour of muscle force production was observed.
- Loss of torque production, changes in the ratio between muscle V˙O2 kinetics and O2 delivery, a greater rating of perceived exertion, and the loss of work efficiency --mainly during very heavy exercise-- appear to share physiological mechanisms of similar origin.
Read 15 tweets
Jan 19
The findings of this one suggest that a high adherence to a diet that is rich in protein and unsaturated fatty acids may have beneficial long-term effects on liver fat and lipid metabolism in older subjects.
- An increased intake of protein, total fat, MUFA, PUFA and fiber as well as a decreased consumption of SFAs was achieved in the intervention group.
- Adjusted for baseline intrahepatic lipids, age, sex and BMI change, a reduction of intrahepatic lipids by 33.3% was seen in the intervention group, but the median reduction was not statistically significantly compared to the control group.
Read 10 tweets
Jan 18
This one suggests that among children and adolescents with overweight/obesity, those born small for gestational age are more likely to possess cardiometabolic risk factors compared to their counterparts born appropriate for gestational age.
- Small for gestational age in children and adolescents with overweight or obesity was associated with cardiometabolic risk factors, including increased odds for hypertensive blood pressure, elevated HbA1c, elevated ALT, and low HDL.
- On the contrary, large for gestational age was associated with lower odds for hypertensive blood pressure, elevated HbA1c, and elevated ALT.
Read 5 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!

:(