21 Matching Annotations
  1. Last 7 days
  2. Nov 2024
    1. The reported physical activities may includeresistance exercise, which may not provide the cardiovascular benefits seen with aerobic exer-cise

      important indicator. especially with low healthcare literacy in regard to accurately reporting there physical activity.

    2. Because physical activity and diet quality were measured only once, it is unknown howincreasing physical activity and improving diet quality would benefit cardiovascular healthamong overweight and obese adults

      This is the best you can get it in my opinion

    3. This high-lights the gap between the urgent needs of providing healthy lifestyle advice and the currentpractice of healthcare providers towards overweight and obese individuals

      Interested to see this study recreated with those taking semiglutide injection in a longitudinal fashion

    4. Healthcare providers play an essential role in promoting behavior change:overweight and obese adults who received advice from healthcare providers were four timesmore likely to attempt a healthy lifestyle compared to those who did not receive advice

      I believe this also helps get smokers to the point of quitting as well

    5. With these cardiovascular benefits and observedassociations, physical activity may be treated as an independent factor for CVD risk that is notincluded in the Framingham Risk Score

      Crazy how it is not already included

    6. ncreasing even a smallamount of physical activity is linked with a lower risk of CVD risk within each weight status

      As future providers we should always encourage any physical activity

    7. compared to sedentary adults, adults who were inactive or active

      In medicine, the main difference between sedentary and inactive is that sedentary behavior is characterized by sitting or lying down for long periods, while physical inactivity is defined by not meeting physical activity guidelines:

    8. smoker

      Relate this to substance use and how poorer social determinants of health correlate with increase in reporting of substance use. Also, tobacco companies tend to target these populations at higher rates with marketing.

    9. but they were more likely to be Non-Hispanic Black (14.0% vs.8.6%) and less likely to have >400% income-to-poverty ratio (33.5% vs. 38.8%), compared toparticipants with BMI <25 kg/m2

      furthers the notion of social determinants of health

    10. Compared toparticipants with BMI <25 kg/m2, participants who were overweight were more likely to bemale (55.0% vs. 41.8%), more likely to be married (67.9% vs. 60.0%), less likely to be a collegegraduate or above (32.1% vs. 37.2%), have a higher depression score (1.46 ± 0.02 vs.1.43 ± 0.02), and more likely to have a poor diet (72.3% vs. 70.5%), and to be sedentary (42.5%vs. 37.2%)

      This shows the growing gender divide we are seeing in this country. this could imply a future health disparity we may see in our future careers.

    11. higher depression score

      Given the mental health crisis from covid, one could conclude this number is much higher in this demographic.

    12. Themajority were non-Hispanic whites (67.0%), and 52.3% were female

      reason why social-race theory is important in medicine and why there needs to be emphasis placed on certain races/ethnicities for make up for lack of evidence-based understanding among the biopsychosocial landscape in public health

    13. Non-Hispanic Black (18.3% vs. 10.6%, P<0.001), high school or less (44.6% vs.37.4%, P<0.001), never married (25.1% vs. 18.8%, P<0.001), and less than 138% income topoverty ratio (31.8% vs. 23.1%, P<0.001)

      reasons why income, education, and even ethnicity are such strong determinants of health.

    14. 22,476

      good numbers to outweigh low self reporting

    15. ta were from the National Health and Nutrition Examination Survey 2007–2016

      Pre covid data; indicative of more stable data set given society was relatively normal without massive influx of trauma (deaths, social isolation) However, may be unrepresentative of modern times given the unknowns of the post covid impact.

  3. Oct 2024
    1. The confounding effects of bodymass index, age, weight, gastrointestinal complaints, alcoholintake, and dietary parameters were evaluated

      there should have been weekly/daily data points on this

    2. Participants attended 3 visits (baseline, week 4, and week 8).

      too short of time and too little of visits

    3. substance dependence

      needs to elaborate on dependence and what types of substance are these

    1. sed on either what was documented in the medical record (col-lected as part of routine surveillance activity) or what the case-patient reported during their interview. For the remaining 58cases, 48 (82.8%) did not test positive for another enteric patho-gen based on medical-record review, and 10 (17.2%) were nottested for another enteric pathogen. Twelve (17.6%) of 68 case-patients required hospitalisation for CDI, but none requiredadmission to the intensive care unit or developed toxic megaco-lon. CDI treatment information was available for 62 case-patients;of these, 50 (80.6%) received treatment for CDI and 12 (19.4%)did not.

      This shows CA-CDI are pretty significant in posing public health risks; however, not being in the ICU shows that these cases were not severe enough to warrant stronger interventions other than monitoring with treatment.