Supplementary Table 1 from Effects of Exercise on Insulin, IGF Axis, Adipocytokines, and Inflammatory Markers in Breast Cancer Survivors: A Systematic Review and Meta-analysis

Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) Checklist</p

Supplementary Table 2 from Effects of Exercise on Insulin, IGF Axis, Adipocytokines, and Inflammatory Markers in Breast Cancer Survivors: A Systematic Review and Meta-analysis

The effects of exercise on insulin according to weight reduction in breast cancer survivors</p

Table_1_An 8-step approach for the systematic development of an evidence-based exercise program for patients undergoing hematopoietic stem cell transplantation.pdf

BackgroundA tailored and reliable intervention program developed based on evidence is necessary for patients with serious health conditions.ObjectiveWe describe the development of an exercise program for HSCT patients based on evidence from a systematic process.MethodsWe developed the exercise program for HSCT patients using eight systematic steps: (1) a literature review, (2) understanding patient characteristics, (3) first expert group discussion, (4) development of the first draft of the exercise program, (5) a pre-test, (6) second expert group discussion, (7) a pilot randomized controlled trial (n=21), and (8) a focus group interview.ResultsThe developed exercise program was unsupervised and consisted of different exercises and intensities according to the patients’ hospital room and health condition. Participants were provided with instructions for the exercise program, exercise videos via smartphone, and prior education sessions. In the pilot trial, the adherence to the exercise program was only 44.7%, however, some changes in physical functioning and body composition favored the exercise group despite the small sample size.ConclusionStrategies to improve adherence to this exercise program and larger sample sizes are needed to adequately test if the developed exercise program may help patients improve physical and hematologic recovery after HSCT. This study may help researchers develop a safe and effective evidence-based exercise program for their intervention studies. Moreover, the developed program may benefit the physical and hematological recovery in patients undergoing HSCT in larger trials, if exercise adherence is improved.Clinical trial registrationhttps://cris.nih.go.kr/cris/search/detailSearch.do?seq=24233&search_page=L, identifier KCT 0008269.</p

Supplementary tables from The Effects of Physical Activity and Body Fat Mass on Colorectal Polyp Recurrence in Patients with Previous Colorectal Cancer

Supplementary table 1. Comparison of total number and interval of follow-up colonoscopies between the sedentary and active exercise group Supplementary table 2. Advanced adenoma recurrence rate according to exercise amount Supplementary table 3. Subgroup analysis of polyp recurrence rate according to exercise amount and body fat mass</p

STROBE statement—checklist of items that should be included in reports of <i>cohort studies</i>.

STROBE statement—checklist of items that should be included in reports of cohort studies.</p

Linear spline regression modelling of RHR during the COVID-19 pandemic, stratified by sex and pre-pandemic estimated cardiorespiratory fitness level.

Linear spline regression modelling of RHR during the COVID-19 pandemic, stratified by sex and pre-pandemic estimated cardiorespiratory fitness level.</p

Baseline participant characteristics in women and men stratified by supine resting heart rate.

Baseline participant characteristics in women and men stratified by supine resting heart rate.</p

Association between 6-year change in supine resting heart rate and change in estimated maximal oxygen consumption, stratified by sex.

Models were adjusted for follow-up time and baseline values of age, sex, RHR, and estimated VO2max. Longitudinal subsample, the Fenland Study (n = 6,589). Each point represents 5% of the data in the binscatter plot. R values are sex-stratified partial correlation coefficients between change in supine resting heart rate and change in estimated maximal oxygen consumption, adjusted for covariates listed above. P-values for all partial correlation coefficients are less than 0.0001.</p

Fig 1 -

Associations between resting heart rate and estimated maximal oxygen consumption expressed per kg total-body mass, stratified by sex and adjusted for age (left column panels) or age, ethnicity, smoking, alcohol consumption, body mass index, physical activity energy expenditure (PAEE), moderate-vigorous PAEE (right column panels). Top: Seated resting heart rate. Middle: Supine resting heart rate. Bottom: Sleeping resting heart rate. The Fenland Study (n = 10,865). Each point represents 5% of data in the binscatter plots. r values are sex-stratified partial correlation coefficients between resting heart rate and estimated maximal oxygen consumption, adjusted for covariates listed above. P-values for all partial correlation coefficients are less than 0.0001.</p

Supporting information–contains all the supporting tables and figures.

Supporting information–contains all the supporting tables and figures.</p