Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Friday, January 20, 2023

Number of daily meals, not intermittent fasting, associated with long-term weight change

I gave up lunch years ago, but it hasn't seemed to help yet,  maybe because  my social nights out include drinks. I'm not going to change that, it's the most fun part of my life.

Number of daily meals, not intermittent fasting, associated with long-term weight change

In the general population, long-term weight change is strongly associated with the average daily number of medium and large meals but not with a specific time-restricted eating strategy, researchers reported.

In an analysis of electronic health record data for patients across three health systems, researchers found that the number of daily meals was positively associated with weight change over a median of 6.3 years; however, the time interval between first and last meal was not associated with weight change.

Graphical depiction of data presented in article
In the general population, long-term weight change is strongly associated with the average daily number of medium and large meals but not with a specific time-restricted eating strategy.
Data were derived from Zhao D, et al. J Am Heart Assoc. 2023;doi:10.1161/JAHA.122.026484.

“In addition to windows between meals, the role of the frequency and size of meals on weight has been also controversial,” Wendy L. Bennett, MD, MPH, an associate professor of medicine at Johns Hopkins University School of Medicine, and colleagues wrote in the Journal of the American Heart Association. “Cross-sectional studies have shown that a greater meal frequency was either not associated, or associated with a reduced prevalence of abdominal and general obesity, while two large-scale prospective cohort studies showed that greater meal frequency was associated with increased weight gain and BMI.”

In a prospective study, Bennett and colleagues recruited 547 participants from three health systems included in the PaTH Clinical Research Network who had at least one weight and height measurement within 2 years before the enrollment window. The mean age of participants was 51 years; mean BMI was 30.8 kg/m2; 77.9% were women and 77.5% were white.

The participants downloaded and used a mobile app to record the timing of meals and sleep for at least 1 day for 6 months. Researchers assessed weight and comorbidities data at each outpatient visit from the EHR for up to 10 years before until 10 months after baseline and modeled weight trajectories.

The mean interval from first to last meal was 11.5 hours and was not associated with weight change. In adjusted models, each 1-hour increase in time from first to last meal at baseline was associated with a 0.005 kg average annual weight change (95% CI, 0.08 to 0.09). The annual weight changes during follow-up associated with time from wake up to sleep, time from last meal to sleep, and sleep duration were 0.02 kg (95% CI, 0.08 to 0.12), 0.07 kg (95% CI, 0.03 to 0.17) and 0.11 kg (95% CI, 0.06 to 0.28), respectively.

The number of meals per day was positively associated with weight change. The average difference in annual weight change associated with an increase of one daily meal was 0.28 kg (95% CI, 0.02-0.53), according to researchers.

Total daily number of large and medium meals was associated with increased weight during follow-up time, whereas the total number of small meals was associated with decreasing weight. The average annual weight changes associated with a daily increase of one large, medium or small meal were 0.69 kg (95% CI, 0.19-1.18), 0.97 kg (95% CI, 0.64-1.29) and 0.3 kg (95% CI, 0.53 to 0.07), respectively.

The researchers noted that the distribution of energy intake earlier during the day appeared to be associated with less weight increase after enrollment.

“Duration from first to last meal, as well as other meal patterns, did not show a clear association with weight trajectory,” the researchers wrote. “Our findings did not support the use of time-restricted eating as a strategy for long-term weight loss. Further large-scale studies with long follow-up time are needed to better characterize the association for time of eating with weight change.”

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