scholarly journals Congestive Heart Failure Exhibited Higher BMI With Lower Energy Intake and Lower Physical Activity Level: Data From the National Health and Examination Nutrition Survey

2021 ◽  
Vol 8 ◽  
Author(s):  
Tianyu Xu ◽  
Haobin Zhou ◽  
Zhuang Ma ◽  
Hao Zhang ◽  
Qingchun Zeng ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Failure ◽  
Physical Activity Level ◽  
Lower Energy ◽  
Sedentary Time ◽  
Hemoglobin Level ◽  
Activity Level ◽  
Macronutrient Intake ◽  
Rest Time ◽  
Lower Physical Activity

Background: Despite that nutritional deficiency existed in congestive heart failure (CHF), there is a large amount of CHF patients suffering from obesity. This study aimed to identify the differences for increased BMI or obesity in CHF patients.Methods: This cross-sectional study included adults from the National Health and Nutrition Examination Survey 2007–2016. Differences were compared between CHF participants vs. non-CHF participants, and BMI ≥ 30 kg/m2 vs. BMI < 30 kg/m2 CHF participants.Results: CHF participants were with higher BMI, lower energy and macronutrient intake, lower physical activity level and longer rest time, and lower hematocrit and hemoglobin level (all P < 0.05) than non-CHF participants. The prevalence of BMI ≥ 30 kg/m2 in participants with CHF was 53.48%. There was no significant difference observed in energy and macronutrient intake between CHF participants with BMI ≥ 30 kg/m2 or <30 kg/m2. The water intake (P = 0.032), sedentary time (P = 0.002), and hematocrit (P = 0.028) were significantly different between CHF with BMI ≥ 30 kg/m2 and with <30 kg/m2.Conclusion: Compared with non-CHF participants, CHF participants exhibited higher BMI with lower energy and macronutrient intake, lower physical activity level, longer rest time, and hemodilution with lower hematocrit and hemoglobin level. Among CHF participants with BMI ≥ 30 kg/m2, higher sedentary time and hematocrit were observed.

scholarly journals Congestive Heart Failure Exhibited Higher BMI With Lower Energy Intake and Lower Physical Activity Level: Data From the National Health and Examination Nutrition Survey

2021 ◽  
Author(s):  
Tianyu Xu ◽  
Haobing Zhou ◽  
Zhuang Ma ◽  
Hao Zhang ◽  
Yuli Huang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Failure ◽  
Congestive Heart Failure ◽  
Physical Activity Level ◽  
Lower Energy ◽  
Sedentary Time ◽  
Hemoglobin Level ◽  
Activity Level ◽  
Rest Time ◽  
Lower Physical Activity

Abstract Introduction: Despite nutritional deficiency existed in congestive heart failure (CHF), there is a large amount of CHF patients suffer from obesity. This study aimed to identify the differences for increased BMI or obesity in CHF patients.Methods: This cross-sectional study included adults from the National Health and Nutrition Examination Survey 2007-2016. Differences were compared between CHF participants versus non-CHF participants, and BMI ≥ 30kg/m2 versus BMI < 30kg/m2 CHF participants. Results: CHF participants were with higher BMI, lower energy and macronutrients intakes, lower physical activity level and longer rest time, lower hematocrit and hemoglobin level (all P <0.05) than non-CHF participants. The prevalence of BMI ≥ 30kg/m2 in patients with CHF was 53.48%. There was no significant difference observed in energy, macronutrients intake between CHF patients with BMI ≥ 30kg/m2 or < 30kg/m2. The water intake (P =0.032), sedentary time (P =0.002), and hematocrit (P =0.028) were significantly different between CHF with BMI ≥ 30kg/m2 and with < 30kg/m2.Conclusion: Compared with non-CHF participants, CHF patients exhibited higher BMI with lower energy and macronutrients intakes, lower physical activity level, longer rest time and hemodilution with lower hematocrit and hemoglobin level. Among CHF patients with BMI ≥ 30kg/m2, higher sedentary time and hematocrit were observed.

scholarly journals Criterion validity of two physical activity and one sedentary time questionnaire against accelerometry in a large cohort of adults and older adults

2020 ◽  
Vol 6 (1) ◽  
pp. e000661 ◽  
Author(s):  
Edvard H Sagelv ◽  
Laila A Hopstock ◽  
Jonas Johansson ◽  
Bjørge H Hansen ◽  
Soren Brage ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Sedentary Time ◽  
Short Form ◽  
Vigorous Physical Activity ◽  
Activity Level ◽  
Sitting Time ◽  
Activity Levels ◽  
Metabolic Equivalents ◽  
Level Scale

ObjectivesWe compared the ability of physical activity and sitting time questionnaires (PAQ) for ranking individuals versus continuous volume calculations (physical activity level (PAL), metabolic equivalents of task (MET), sitting hours) against accelerometry measured physical activity as our criterion.MethodsParticipants in a cohort from the Tromsø Study completed three questionnaires; (1) The Saltin-Grimby Physical Activity Level Scale (SGPALS) (n=4040); (2) The Physical Activity Frequency, Intensity and Duration (PAFID) questionnaire (n=5902)) calculated as MET-hours·week-1 and (3) The International Physical Activity questionnaire (IPAQ) short-form sitting question (n=4896). We validated the questionnaires against the following accelerometry (Actigraph wGT3X-BT) estimates: vector magnitude counts per minute, steps∙day-1, time (minutes·day-1) in sedentary behaviour, light physical activity, moderate and vigorous physical activity (MVPA) non-bouted and ≥10 min bouted MVPA.ResultsRanking of physical activity according to the SGPALS and quartiles (Q) of MET-hours∙week-1 from the PAFID were both positively associated with accelerometry estimates of physical activity (p<0.001) but correlations with accelerometry estimates were weak (SGPALS (PAL): r=0.11 to 0.26, p<0.001) and weak-to-moderate (PAFID: r=0.39 to 0.44, p<0.01). There was 1 hour of accelerometry measured sedentary time from Q1 to Q4 in the IPAQ sitting question (p<0.001) and also weak correlations (r=0.22, p<0.01).ConclusionRanking of physical activity levels measured with PAQs appears to have higher validity than energy expenditure calculations. Self-reported sedentary time poorly reflects accelerometry measured sedentary time. These two PAQs can be used for ranking individuals into different physical activity categories supporting previous studies using these instruments when assessing associations with health outcomes.

Correlation Between Glycemic Control and Physical Activity Level in Adolescents and Children With Type 1 Diabetes

2015 ◽  
Vol 12 (2) ◽  
pp. 232-237 ◽  
Author(s):  
Cristiane Petra Miculis ◽  
Wagner De Campos ◽  
Margaret Cristina da Silva Boguszewski
Keyword(s):  
Physical Activity ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Physical Activity Level ◽  
Sedentary Time ◽  
Insulin Dose ◽  
Fasting Blood Glucose ◽  
Activity Level ◽  
Sleeping Time

Background:The aim of this study was to correlate glycemic control (GC) and variables of physical activity levels (PAL) in children with type 1 diabetes mellitus (T1DM).Methods:Fifty children and adolescents with T1DM were selected. Personal and medical data for the patients were collected. Physical evaluations of body weight and sexual maturation were undertaken. Bouchard’s questionnaire was applied to evaluate PAL as well as for time spent on physical activities.Results:Sixty-four percent of the subjects were sexually mature. Differences were observed between females and males in insulin dose, duration of light physical activity, and sleeping time (P < .05). Ninety percent presented poor GC and 80% had a low PAL. Fasting blood glucose (FBG) was significantly correlated with PAL, with sedentary time, and with sleeping time. Glycated hemoglobin (HbA1c) was significantly correlated with sedentary time and sleeping time. Among the three groups of PAL (insufficient × moderate × active) there were differences in HbA1c (%), FBG (mg/dL), duration of disease (years), and insulin dose (UI/kg/day) (P < 0.001).Conclusion:GC was significantly correlated with PAL. Among the three groups of physical activity level, the most active group was seen to have the best GC.

scholarly journals Sedentary Lifestyle Matters as Past Sedentariness, Not Current Sedentariness, Predicts Cognitive Inhibition Performance among College Students: An Exploratory Study

2021 ◽  
Vol 18 (14) ◽  
pp. 7649
Author(s):  
Valentin Magnon ◽  
Guillaume T. Vallet ◽  
Frédéric Dutheil ◽  
Catherine Auxiette
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Physical Activity Level ◽  
Sedentary Time ◽  
Sedentary Lifestyle ◽  
Negative Association ◽  
Activity Level ◽  
Cognitive Inhibition ◽  
Inhibition Performance ◽  
The Impact

Background: Currently, sedentariness is assessed over a short period of time, thus it is difficult to study its cognitive implications. To investigate the cognitive consequences of a sedentary lifestyle, the past level (i.e., the sedentary time accumulated over the years) and current level of sedentariness should be considered. This pilot study aimed to investigate the negative association between a sedentary lifestyle and cognition by considering both the current and past sedentariness. It was expected that the physical activity level moderates the potential negative association between sedentariness and cognition. Methods: 52 college students (Mage = 20.19, SDage = 2; 36 women) participated in the study. Current sedentariness (ratio of sedentary time in the last year), past sedentariness (ratio of sedentary time accumulated in previous years), and physical activity (ratio of time spent in physical activity in years) were assessed using a questionnaire. Cognitive inhibition, cognitive flexibility, and working memory updating were measured through three specific tests. Results: Past sedentariness significantly explained the inhibition performance when controlled for physical activity, whereas current sedentariness did not. More precisely, past sedentariness only negatively predicted cognitive inhibition when the physical activity level was low (β = −3.15, z(48) = −2.62, p = 0.01). Conclusions: The impact of sedentariness on cognitive functioning might only be revealed when past sedentariness and physical activity are controlled.

scholarly journals Protective effect of physical activity on mortality in older adults with advanced chronic heart failure: A prospective observational study

2018 ◽  
Vol 26 (5) ◽  
pp. 481-488 ◽  
Author(s):  
Francesco Cacciatore ◽  
Cristiano Amarelli ◽  
Nicola Ferrara ◽  
Elisabetta Della Valle ◽  
Francesco Curcio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Failure ◽  
Elderly Patients ◽  
Cardiac Rehabilitation ◽  
Physical Activity Level ◽  
Hazard Rate ◽  
Nyha Class ◽  
Advanced Heart Failure ◽  
Activity Level ◽  
Heart Failure Decompensation

Objectives The objective of this study was to evaluate the effect on mortality of self-reported physical activity evaluated by the physical activity scale for the elderly (PASE) in elderly patients with advanced heart failure enrolled in a cardiac rehabilitation unit after heart failure decompensation (NYHA class IIIB). Methods The study prospectively enrolled 314 elderly patients (≥65 years) with heart failure in NYHA class IIIB (symptomatic with a recent history of dyspnoea at rest) consecutively admitted to cardiac rehabilitation between January 2010 and July 2011. Comprehensive geriatric assessment was performed. Physical activity was evaluated by PASE and stratified in tertiles (0–15, 16–75 and >75). Mortality was collected from September to October 2015 in 300 patients. Results The mean age was 74.5 ± 6.1 (range 65–89); 74.7% were men, 132 patients (44.0%) died during the follow-up (44.1 ± 20.7 months). Univariate analysis shows that physical activity level conducted before heart failure decompensation was inversely related to mortality (from 76.0% to 8.2%, P = 0.000). Multivariate analysis confirms that the PASE score predicts mortality independently of several demographic and clinical variables (hazard rate 0.987, 95% confidence interval (CI) 0.980–0.994, P = 0.000). Notably, when considering PASE 0–15 versus 16–75 score and PASE 0–15 versus > 75 score, the hazard rate is 4.06 (95% CI 1.67–9.84, P < 0.001) and 7.25 (95% CI 2.7–19.5, P < 0.001), respectively. Conclusions Physical activity level evaluated by the PASE score is inversely related to mortality in elderly patients with advanced heart failure confirming the reduction of mortality exerted by moderate physical activity in such patients.

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