scholarly journals Energy Requirement for Elderly CKD Patients

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3396
Author(s):  
Claudia D’Alessandro ◽  
Domenico Giannese ◽  
Monica Avino ◽  
Adamasco Cupisti
Keyword(s):  
Physical Activity ◽  
Kidney Disease ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Sedentary Lifestyle ◽  
Energy Requirement ◽  
Activity Level ◽  
Activity Levels ◽  
Protein Energy Wasting ◽  
Cross Sectional

The correct management of energy intake is crucial in CKD (chronic kidney disease) patients to limit the risk of protein energy wasting especially during low-protein regimes, but also to prevent overweight/obesity. The aim of this study was to assess the energy requirement of older CKD patients using objective measurements. This cross-sectional study enrolled 67 patients (aged 60–86 years) with CKD stages 3–5 not on dialysis, all of whom were metabolically and nutritionally stable. All patients underwent indirect calorimetry and measurement of daily physical activity level expressed by the average daily Metabolic Equivalent Task, using an accelerometer, in order to measure total energy expenditure (mTEE). Estimated TEE (eTEE) was derived from predictive equations for resting energy expenditure and physical activity levels coefficients. The mTEE were lower than eTEE-based on Harris–Benedict or Schofield or Mifflin equations (1689 ± 523 vs. 2320 ± 434 or 2357 ± 410 or 2237 ± 375 Kcal, p < 0.001, respectively). On average mTEE was 36.5% lower than eTEE. When eTEE was recalculated using ideal body weight the gap between mTEE and eTEE was reduced to 26.3%. A high prevalence of a sedentary lifestyle and reduced physical capabilities were also detected. In conclusion, our data support the energy intake of 25–35 Kcal/Kg/d recently proposed by the NKF-KDOQI (National Kidney Foundation-Kidney Disease Improving Quality Initiative) guidelines on nutritional treatment of CKD, which seem to be more adequate and applicable than that of previous guidelines (30–35 Kcal/Kg/d) in elderly stable CKD patients with a sedentary lifestyle. According to our findings we believe that an energy intake even lower than 25 Kcal/Kg/d may be adequate in metabolically stable, elderly CKD patients with a sedentary lifestyle.

scholarly journals A study of physical activity levels and its correlates among adults: a cross-sectional study

2017 ◽  
Vol 4 (4) ◽  
pp. 1154
Author(s):  
Chaitanya Patil ◽  
Manjusha Dhoble ◽  
Alka Kaware
Keyword(s):  
Physical Activity ◽  
Rural Areas ◽  
Urban Areas ◽  
Sedentary Lifestyle ◽  
Cross Sectional Study ◽  
Activity Level ◽  
Activity Levels ◽  
Active Lifestyle ◽  
Cross Sectional ◽  
Physical Activity Levels

Background: Three fourth of the world’s death burden is shared by low to middle income countries due to non-communicable diseases. Physical inactivity is one of the important preventable risk factor in non-communicable diseases. It amounts to 4th leading risk factor for global mortality. Hence, this study was conducted to study the physical activity level and its correlates among adult patients attending health training centres in Nagpur. Methods: A cross sectional study was conducted among adult patients attending the health centres of Indira Gandhi Government Medical College. Pregnant women, lactating women, debilitated patients and patients not giving consent were excluded from the study. A preformed and pretested questionnaire was used to conduct the interviews which included socio-demographic variables like age, sex, and educational status. Anthropometric measurements and blood pressure were measured according to the standard guidelines. The physical activity level was calculated using the principles of 1985 FAO/WHO/UNU expert consultation (WHO, 1985). Results: Of 200 study subjects, 59% were having a sedentary lifestyle, 27% were having a moderately active lifestyle and 14% were having a vigorously active lifestyle. A statistically significant increasing trend for sedentary study subjects (p =0.002 with age was found. Those who reported sedentary physical activity levels had 3.42 odds of being hypertensive, 7.44 times odds of being diabetic, 3 times odds of being overweight and 2.41 odds of being obese. The adults in urban areas were having significantly less physical activity levels when compared rural areas. Conclusions: Higher levels of sedentary lifestyle were found in urban areas compared to rural areas. As the age increased the sedentary lifestyle was having a significantly increasing trend. Physical activity was associated with the diabetic status, hypertensive status, and obesity status.  

Physical Activity Levels to Estimate the Energy Requirement of Adolescent Athletes

2011 ◽  
Vol 23 (2) ◽  
pp. 261-269 ◽  
Author(s):  
Anja Carlsohn ◽  
Friederike Scharhag-Rosenberger ◽  
Michael Cassel ◽  
Josefine Weber ◽  
Annette de Guzman Guzman ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Energy Requirement ◽  
Resting Energy Expenditure ◽  
Activity Level ◽  
Activity Levels ◽  
Doubly Labeled Water ◽  
Adolescent Athletes ◽  
Activity Data ◽  
Competitive Athletes

Adequate energy intake in adolescent athletes is considered important. Total energy expenditure (TEE) can be calculated from resting energy expenditure (REE) and physical activity level (PAL). However, validated PAL recommendations are available for adult athletes only. Purpose was to comprise physical activity data in adolescent athletes and to establish PAL recommendations for this population. In 64 competitive athletes (15.3 ± 1.5yr, 20.5 ± 2.0kg/m2) and 14 controls (15.1 ± 1.1yr, 21 ± 2.1kg/m2) TEE was calculated using 7-day activity protocols validated against doubly-labeled water. REE was estimated by Schofield-HW equation, and PAL was calculated as TEE:REE. Observed PAL in adolescent athletes (1.90 ± 0.35) did not differ compared with controls (1.84 ± 0.32, p = .582) and was lower than recommended for adult athletes by the WHO. In conclusion, applicability of PAL values recommended for adult athletes to estimate energy requirements in adolescent athletes must be questioned. Instead, a PAL range of 1.75–2.05 is suggested.

scholarly journals Physical Activity Status in Patients With Coronary Heart Disease: Results From the Cross-Sectional EUROASPIRE Surveys

2016 ◽  
Vol 13 (12) ◽  
pp. 1378-1384 ◽  
Author(s):  
Delphine De Smedt ◽  
Els Clays ◽  
Christof Prugger ◽  
Johan De Sutter ◽  
Zlatko Fras ◽  
...  
Keyword(s):  
Physical Activity ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Risk Profile ◽  
Activity Level ◽  
Activity Levels ◽  
Cross Sectional ◽  
Physically Active ◽  
Physical Activity Levels ◽  
The Cross

Background:The study aim was to assess the physical activity levels as well as the intention to become physically active in patients with stable coronary heart disease (CHD) with a special focus on the association with their risk profile.Methods:Analyses are based on the cross-sectional EUROASPIRE IV surveys. Information was available on 8966 patients in EUROASPIRE III and on 7998 patients in EUROASPIRE IV. Physical activity level according to patients risk profile and their medical management was assessed, the intention to become physically active was investigated and a time trend analysis was performed.Results:A better cardiovascular risk profile as well as receiving physical activity advice or weight loss advice was associated with better physical activity levels. The physical activity status improved significantly over time, the proportion of patients reporting vigorous physical activity for at least 20 minutes ≥ 3 times/week increased from 14.1% to 20.2% (P < .001). Similarly, a significantly greater proportion of patients are in the maintenance stage (36.6% vs. 27.4%) and a smaller proportion in the precontemplation stage (43.2% vs. 52.3%).Conclusion:Although an increase was seen in the proportion of patients being adequately physical active, physical activity levels remain suboptimal in many CHD patients.

scholarly journals Concurrent comparison of energy intake and expenditure among adults in Butajira District, Ethiopia

2008 ◽  
Vol 11 (7) ◽  
pp. 675-683 ◽  
Author(s):  
Fikru Tesfaye ◽  
Peter Byass ◽  
Stig Wall
Keyword(s):  
Physical Activity ◽  
Energy Intake ◽  
Population Level ◽  
Cross Sectional Study ◽  
Activity Level ◽  
Metabolic Energy ◽  
Sampling Frame ◽  
Cross Sectional ◽  
Dietary History ◽  
Activity Questionnaires

AbstractObjectiveTo estimate and compare dietary energy intake (DEI) and total energy expenditure (TEE) among adults, using questionnaires.DesignComparative, cross-sectional study.SettingCommunity-based, at the demographic surveillance site (DSS) in Butajira District of Ethiopia.SubjectsA total of 619 adults, 18–64 years of age, were randomly selected from among the urban and rural population of Butajira using the DSS sampling frame. Habitual dietary intake and physical activity were assessed using questionnaires. BMR was estimated using a regression equation, and TEE was calculated from BMR and the metabolic energy equivalent task (MET) and duration of reported activities. Physical activity level (PAL) was calculated as TEE/BMR, while food intake level (FIL) was calculated as DEI/BMR. The mean DEI:TEE ratio was used to evaluate reported DEI at the population level, while individual misreporters were identified by applying the Goldberg cut-off points at three levels of PAL.ResultsBased on the Goldberg method, 57 % of the study participants were identified as acceptable reporters of DEI, among whom mean TEE was 8·21 (95 % CI 8·01, 8·42) MJ (1963 (95 % CI 1914, 2012) kcal), mean DEI was 8·13 (95 % CI 7·93, 8·34) MJ (1944 (95 % CI 1895, 1993) kcal) and mean DEI:TEE was 1·01 (95 % CI 0·99, 1·04).ConclusionThe dietary history and physical activity questionnaires provide comparable estimates of mean energy intake and expenditure at a population level. Acceptable reporters have to be identified in order to obtain better estimates. Questionnaire-based estimates of energy intake should not be interpreted without an inherent system of comparison or validation.

scholarly journals Physical activity and energy balance

1999 ◽  
Vol 2 (3a) ◽  
pp. 335-339 ◽  
Author(s):  
Marleen A. Van Baak
Keyword(s):  
Physical Activity ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Body Mass ◽  
Resting Energy Expenditure ◽  
Total Energy Expenditure ◽  
Activity Level ◽  
Resting Energy

AbstractEnergy expenditure rises above resting energy expenditure when physical activity is performed. The activity-induced energy expenditure varies with the muscle mass involved and the intensity at which the activity is performed: it ranges between 2 and 18 METs approximately. Differences in duration, frequency and intensity of physical activities may create considerable variations in total energy expenditure. The Physical Activity Level (= total energy expenditure divided by resting energy expenditure) varies between 1.2 and 2.2–2.5 in healthy adults. Increases in activity-induced energy expenditure have been shown to result in increases in total energy expenditure, which are usually greater than the increase in activity-induced energy expenditure itself. No evidence for increased spontaneous physical activity, measured by diary, interview or accelerometer, was found. However, this does not exclude increased physical activity that can not be measured by these methods. Part of the difference may also be explained by the post-exercise elevation of metabolic rate.If changes in the level of physical activity affect energy balance, this should result in changes in body mass or body composition. Modest decreases of body mass and fat mass are found in response to increases in physical activity, induced by exercise training, which are usually smaller than predicted from the increase in energy expenditure. This indicates that the training-induced increase in total energy expenditure is at least partly compensated for by an increase in energy intake. There is some evidence that the coupling between energy expenditure and energy intake is less at low levels of physical activity. Increasing the level of physical activity for weight loss may therefore be most effective in the most sedentary individuals.

scholarly journals Water loss as a function of energy intake, physical activity and season

2005 ◽  
Vol 93 (2) ◽  
pp. 199-203 ◽  
Author(s):  
Klaas R. Westerterp ◽  
Guy Plasqui ◽  
Annelies H. C. Goris
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Water Intake ◽  
Water Loss ◽  
Resting Energy Expenditure ◽  
Activity Level ◽  
Seasonal Effects ◽  
Water Turnover ◽  
Doubly Labelled Water

Although water is an important nutrient, there are no recommended intake values. Here, water intake, energy intake, physical activity and water loss was measured over 1 week in summer and in winter. Subjects were healthy volunteers, forty-two women and ten men, mean age of 29 (sd 7) years and mean BMI 21·8 (sd 2·2) kg/m2. Water intake was measured with a 7 d food and water record. Physical activity level (PAL) was observed as the ratio of total energy expenditure, as measured with doubly labelled water, to resting energy expenditure as measured in a respiration chamber. Water loss was measured with the deuterium elimination method. Water loss was highly reproducible and ranged from 0·20 to 0·35 l/MJ, independent of season and activity level, with higher values in women. Water loss was related to water and energy intake in summer (r 0·96, P<0·0001 and r 0·68, P<0·001, respectively) as well as in winter (r 0·98, P<0·0001 and r 0·63, P<0·01, respectively). Water loss was, for men, higher in subjects with a higher physical activity in summer (r 0·94, P<0·0001) and in winter (r 0·70, P<0·05). Normalizing water loss for differences in energy expenditure by expressing water loss in litres per MJ resulted in the same value for men in summer and winter. For women, physical activity-adjusted values of water loss were higher, especially in summer. In men, water turnover was determined by energy intake and physical activity, while seasonal effects appeared through energy expenditure. Women showed a higher water turnover that was unrelated to physical activity.

scholarly journals The conceptual framework for estimating food energy requirement

2005 ◽  
Vol 8 (7a) ◽  
pp. 940-952 ◽  
Author(s):  
Anna Ferro-Luzzi
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Energy Requirement ◽  
Historical Review ◽  
Activity Level ◽  
World Health ◽  
Future Research ◽  
Expert Consultation ◽  
Protein Requirements ◽  
Health Organization

AbstractObjectiveIn anticipation of the revision of the 1985 Food and Agricultural Organization/World Health Organization/United Nations University (FAO/ WHO/UNU) Expert Consultation Report on ‘Energy and Protein Requirements’, recent scientific knowledge on the principles underlying the estimation of energy requirement is reviewed.DesignThis paper carries out a historical review of the scientific rationale adopted by previous FAO/WHO technical reports on energy requirement, discusses the concepts used in assessing basal metabolic rate (BMR), energy expenditure, physical activity level (PAL), and examines current controversial areas. Recommendations and areas of future research are presented.ConclusionsThe database of the BMR predictive equations developed by the 1985 FAO/WHO/UNU Expert Consultation Report on Energy and Protein Requirements needs updating and expansion, applying strict and transparent selection criteria. The existence of an ethnic/tropical factor capable of affecting BMR is not supported by the available evidence. The factorial approach for the calculation of energy requirement, as set out in the 1985 report, should be retained. The estimate should have a normative rather than a prescriptive nature, except for the allowance provided for extra physical activity for sedentary populations, and for the prevention of non-communicable chronic diseases. The estimate of energy requirement of children below the age of 10 years should be made on the basis of energy expenditure rather than energy intake. The evidence of the existence of an ethnic/tropical factor is conflicting and no plausible mechanism has as yet been put forward.

scholarly journals Self-reported changes in energy balance behaviors during COVID-19 related home confinement: A Cross-Sectional Study

2020 ◽  
Author(s):  
Surabhi Bhutani ◽  
Jamie A Cooper ◽  
Michelle R Vandellen
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Energy Expenditure ◽  
Health Behavior ◽  
Energy Intake ◽  
Overweight And Obesity ◽  
Multiple Time ◽  
Sudden Increase ◽  
Cross Sectional ◽  
At Home

ABSTRACTBackgroundThe COVID-19 pandemic has caused people to shelter-at-home for an extended period, resulting in a sudden rise in unstructured time. This unexpected disruption in everyday life has raised concerns about weight management, especially in high-risk populations of women and individuals with overweight and obesity. This study aimed to investigate the changes in behaviors that may impact energy intake and/or energy expenditure in U.S. adults during the home confinement.MethodsCross-sectional data from 1,779 adults were collected using an online Qualtrics survey between April 24th and May 4th, 2020. Self-reported data on demographics, eating behaviors, physical activity, sleep, screen time, takeout food intake, and food purchasing behaviors were collected. Chi-Square analyses were conducted to evaluate differences in the percent of participants reporting increasing, decreasing, or staying the same in each health behavior since the COVID-19 outbreak in their area. Each analysis was followed by comparing whether increases or decreases were more likely for each health behavior. Similar comparisons were made between male and female participants and between body mass index (BMI) categories.ResultsWe observed an increase in the intake of both healthy and energy-dense unhealthy foods and snacks during the home confinement. Participants also reported increases in sedentary activities and decrease in physical activity, alcohol intake, and consumption of takeout meals during this time. In women, several behavioral changes support greater energy intake and less energy expenditure than men. No clear difference in patterns was observed across BMI status.ConclusionAcute changes in behaviors underscore the significance of a sudden increase in unstructured time at home on potential weight gain. Our findings support the need to implement and support measures that promote strategies to maintain body weight and establish a methodology to collect body weight data at multiple time points to longitudinally assess the dynamic relationship between behaviors and body weight change.

scholarly journals Physical Activity Levels and Mood State during COVID-19 Quarantine among the Kermanshah Population: A Cross-Sectional Online Survey Study

2021 ◽  
Author(s):  
Mohammad Azizi ◽  
Alireza Aghababa ◽  
Rastegar Hoseini ◽  
Hadi Rohani ◽  
Maghsoud Nabilpoor
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Mood State ◽  
Short Form ◽  
Regular Physical Activity ◽  
Activity Level ◽  
Activity Levels ◽  
Cross Sectional ◽  
Significant Difference ◽  
Physical Activity Levels

Abstract Background One of the most important consequences of COVID-19 pandemic is anxiety and stress in the general population that can be reduced by regular physical activity. The aim of this study was to estimate the physical activity levels and mood state during covid-19 quarantine among the Kermanshah population. Methods In this cross-sectional study, using the purposeful random sampling method, a total of 2471 subjects ((male (n = 1256) and female (n = 1215)) were selected. To assess the physical activity level from physical activity questionnaire short form (IPAQ-SF) and mood state was measured by the abbreviated form of the Iranian version of the standard POMS questionnaire (Bill Morgan 1979). The descriptive statistic method (mean, standard deviation, and percent), deductive (Chi- square and Spearman's correlation) were used for analyzing the data. Results The results showed that a significant difference was observed between the number of sessions (P = 0.001), intensity (P = 0.001), and duration of exercise (P = 0.001) before and during coronavirus. There are significant positive relationships between low (r = 0.93; P = 0.001) and high (r = 0.673; P = 0.034) levels of physical activity and negative mood state, and a positive relationship between moderate physical activity level (r = 0.82; P = 0.001) and positive mood state. Conclusions It could be determined that the current quarantine has negatively affected the mood state. In general, to prevent COVID-19, regular physical activity is recommended under the health and safety protocols.

scholarly journals PHYSICAL ACTIVITY LEVELS IN PHYSICAL EDUCATION TEACHERS BEFORE AND DURING SCHOOL SUSPENSION BROUGHT BY THE COVID-19 QUARANTINE

2020 ◽  
pp. 475
Author(s):  
Javier Arturo Hall-López
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
International Physical Activity Questionnaire ◽  
Sedentary Lifestyle ◽  
Physical Education Teachers ◽  
Activity Levels ◽  
Cross Sectional ◽  
School Suspension ◽  
Percentage Difference ◽  
Activity Questionnaire

The aim of this paper was to compare the physical activity (PA) levels in physical education (PE) teachers before and during school suspension brought by the COVID-19 quarantine. Thirty-seven PE teachers participated in the descriptive cross-sectional comparative methodological design study. In order to evaluate the PA levels, the International Physical Activity Questionnaire (IPAQ) was applied. As a statistical method, the equality of variance was calculated using the Student t test for independent samples. The results revealed less total PA MET-minutes/week in PE teachers (p=.005), with a percentage difference of 69.8 Δ%, during the COVID-19 quarantine compared to the state before the COVID-19 pandemic. PE teachers are considered professionals who help public health by reducing sedentary lifestyle in society. In that context, decrement in PA level, i.e., their inactivity determined during the COVID-19 pandemic is unacceptable.

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