scholarly journals ULOGA FIZIČKE AKTIVNOSTI I VJEŽBANJA KOD PRETILOSTI I KONTROLE TEŽINE

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Danimir Gajić

The prevalence of overweight and obesity has increased during the last decade causing devastatingconsequences to the public health. Health and dietary exerts recommended healthier diet andphysical activity as strategies to reduce obesity. However, there has been a great deal of confusionabout the role of physical activity and exercise in obesity and weight management in general. Thefocus of this article is based on the fact that reduced physical activity and energy expenditure causeobesity and the obesity can lead to serious health problems among which are cardio vasculardiseases. The idea that obesity is caused by consistent decline in daily energy expenditure is notsupported either by objective measures of energy expenditure or physiological theory of weight gainalone. However, since voluntary exercise is the most important discretionary component of total dailyenergy expenditure, it can affect energy balance. In regards to the above-mentioned physical activityhas a big potential to become important part of the solution for the ongoing obesity epidemic.

2018 ◽  
Author(s):  
Mark I. Friedman ◽  
Scott Appel

ABSTRACTBackgroundA previously published pilot study assessed energy expenditure (EE) of participants with overweight and obesity after they were switched from a baseline high-carbohydrate diet (BD) to an isocaloric low-carbohydrate ketogenic diet (KD). EE measured using metabolic chambers increased transiently by what was considered a relatively small extent after the switch to the KD, whereas EE measured using doubly labeled water (EEDLW) increased to a greater degree after the response in the chambers had waned. Using a publicly available dataset, we examined the effect of housing conditions on the magnitude of the increase in EEDLW after the switch to the KD and the role of physical activity in that response.MethodsThe 14-day EEDLW measurement period included 4 days when subjects were confined to chambers instead of living in wards. To determine the effect on EEDLW only for the days subjects were living in the wards, we calculated non-chamber EE (EEnonchamber). To assess the role of physical activity in the response to the KD, we analyzed chamber and non-chamber accelerometer data for the BD and KD EEDLW measurement periods.ResultsIn comparison with the increase in average 14-day EEDLW of 151 kcal/d ± 63 (P = 0.03) after the switch to the KD, EEnonchamber increased by 203 ± 89 kcal/d (P = 0.04) or 283 ± 116 kcal/d(P = 0.03) depending on the analytical approach. Hip accelerometer counts decreased significantly (P = 0.01) after the switch to the KD, whereas wrist and ankle accelerometer counts did not change.ConclusionsSwitching from the BD to the KD substantially increased EEDLW, but apparently only on days subjects were living in the ward outside the metabolic chamber. Increased physical activity as measured by accelerometry did not appear to account for this effect.


2021 ◽  
Vol 14 (01) ◽  
pp. 006-010
Author(s):  
Valeria Moro ◽  
Luiz Antonio Del Ciampo

Abstract Introduction The global obesity epidemic has mobilized health services to offer care at all levels, with reference outpatient clinics playing a prominent role in cases of greater complexity. Objectives The present study aimed to identify soft drinks consumption and physical activity habits among children and adolescents diagnosed with overweight and obesity during the first visit at a secondary level nutrology outpatient clinic, and to verify attendance at follow-up visits in a 2-year period from the first visit. Materials and Methods This is a retrospective, descriptive study based on data collection from medical records of overweighted or obese patients receiving first care at the Nutrology Clinic of the Municipal Health Secretariat from Ribeirão Preto, São Paulo, Brazil. The study population included children and adolescents aged between 2 and 18 years old cared for from January 2, 2013 to December 30, 2017. Age, weight, height, soft drinks consumption, physical activity, and attendance in scheduled follow-up visits during a 2-year period were analyzed. Results During the study period, 316 patients were registered, including 302 (95.5%) diagnosed with obesity. Of these, 112 (35.4%) were children and 204 (64.6%) were adolescents. Only 2.0% of the children and adolescents did not consume soft drinks, while 23.5 and 26.2% of the children and adolescents, respectively, consumed them daily. Physical inactivity was reported by 31.8% of the children and by 35.8% of the adolescents. Among those who practiced some type of physical activity, 81.3% of the children and 78.2% of the adolescents did not meet the recommendation of moderate to vigorous activity for 60 minutes per day. Dropout rates within the 1st year were of 41.9% for children and of 34.3% for adolescents, increasing to 76.9% and 73.8%, respectively, within the 2nd year. Conclusion There was a high consumption of soft drinks and low adherence to physical activity among patients who started outpatient follow-up. A small adherence to the follow-up program was also identified, with high dropout rates within the 2-year period following the first visit.


2019 ◽  
Vol 25 (2) ◽  
pp. 116-120
Author(s):  
Luiz Antonio dos Anjos ◽  
Bruna de Andrade Messias da Silva ◽  
Vivian Wahrlich

ABSTRACT Objective: To assess the physical activity level (PAL) and the total daily energy expenditure (EE-TDEE) in a sample of ≥60y subjects from Niterói, Rio de Janeiro, Brazil. Methods: A convenience sample of 88 subjects recruited from recreational physical activity programs wore an accelerometer around the waist for seven consecutive days for at least 10h/day. Minute-by-minute EE was estimated from the counts per minute (CPM) data, and the daily sum yielded the TDEE. PAL (TDEE/BMR) with BMR calculated with the FAO/WHO predictive equation and a population-specific equation. Body composition was assessed by DXA. Results: Mean age (SD) was 69.2 (5.8) years, the prevalence of overweight and obesity was 36.4 and 25.0%, respectively, and excess body fat was 39.8%. The subjects spent 600min/day engaged in sedentary activities (CPM<100). Men engaged in 30min of moderate-to-vigorous physical activity (CPM≥1,952) daily, on average. The subjects were active on 34.5 and 18.0% of the weekdays and weekend days with a 1,400 steps/day difference between these days. TDEE was 1,731.5 (348.7) and 1,356.3 (223.7) kcal/day depending on the BMR prediction equation used. Mean PAL was lower than the maintenance level. Conclusions: The high prevalence of sedentary activities and the low percentage of subjects who met the physical activity recommendations indicate that physical activity programs must be adjusted so that the enrolled subjects can meet the physical activity recommendations, preferably with the activities objectively monitored. Population-specific equations improve the final estimation of TDEE and PAL. Level of Evidence I; Diagnostic studies - Investigating a diagnostic test.


2003 ◽  
Vol 62 (3) ◽  
pp. 645-650 ◽  
Author(s):  
Klaas R. Westerterp

Activity intensity is a potential determinant of activity-induced energy expenditure. Tri-axial accelerometery is the most objective measurement technique for the assessment of activity intensity, in combination with doubly-labelled water for the measurement of energy expenditure under free-living conditions. Data on the effects of subject characteristics, including body size and age, and exercise training on the relationship between activity intensity and daily energy expenditure are reviewed. Average daily metabolic rate and non-basal energy expenditure are positively related to body size. The duration and intensity of physical activities do not need to be equivalent to the energy spent on activity. Obese subjects spend more energy on physical activity but can perform fewer activities, especially high-intensity (weight-bearing) activities, because of their higher body weight. Physical activity generally declines gradually from about 60 years of age onwards. Most subjects >80 years have an activity level well below the level defined for sedentary middle-aged adults. Spending relatively more time on low-intensity activities has a negative effect on the mean physical activity level. To obtain a higher physical activity level does not necessarily imply high-intensity activities. In an average subject 25% of the activity-induced energy expenditure may be attributed to high-intensity activities. Exercise training, as a form of high-intensity activity, affects the physical activity level more in younger subjects than in elderly subjects.


2003 ◽  
Vol 90 (3) ◽  
pp. 643-649 ◽  
Author(s):  
Margriet S. Westerterp-Plantenga ◽  
Annelies H. C. Goris ◽  
Erwin P. Meijer ◽  
Klaas R. Westerterp

Habitual meal frequency was assessed as a possible function of components of energy expenditure (EE) in human subjects. Fifty-six subjects participated (four categories differing in body composition): ten older women (fat-free mass (FFM) 42·0 (sd 6·3) kg, aged 59 (sd 2) years, BMI 27·5 (sd 6·9) kg/m2), fifteen younger women (FFM 45·5 (sd 5·2) kg, aged 34 (sd 10) years, BMI 21·9 (sd 2·3) kg/m2), twelve older men (FFM 56·8 (sd 5·9) kg, aged 62 (sd 4) years, BMI 25·7 (sd 3·3) kg/m2) and nineteen younger men (FFM 63·9 (sd 7·5) kg, aged 23·1 (sd 3·9) years, BMI 22·9 (sd 1·8) kg/m2). Measurements consisted of habitual meal frequency by validated food-intake diaries, physical activity by tri-axial accelerometers and resting EE by a ventilated hood system. Habitual meal frequency was expressed as a function of resting EE (including resting EE as a function of FFM), and of activity-induced EE, using regression analysis. FFM differed according to gender and age categories (P < 0·01). Physical activity level was higher in the younger men than in the other categories (P < 0·05). No relationship of meal frequency with the variables assessed was observed in subjects with a low FFM (the women). In the subjects with a medium FFM (the older men), meal frequency was positively related to resting EE (r2 0·4, P < 0·05), but not to the residuals of resting EE as a function of FFM, and inversely related to activity-induced EE (r2 0·3, P < 0·05). Resting EE explained 40% of the variation in meal frequency; adding activity-induced EE increased this to 60%. In the subjects with a high FFM (the younger men), meal frequency was inversely related to resting EE (r2 0·8, P < 0·0001) and to the residuals of resting EE as a function of FFM (P = 0·03), and positively related to activity-induced EE (r2 0·6, P < 0·0001). Resting EE explained 85% of the variation in meal frequency; adding activity-induced EE increased this to 89%. Habitual meal frequency was a function of components of EE, namely resting EE and activity-induced EE, only in subjects with a medium to high FFM (men). FFM-related differences in these relationships suggest a role of physical activity.


2017 ◽  
Vol 27 (3) ◽  
pp. 423-430 ◽  
Author(s):  
Timothy J. O’Neal ◽  
Danielle M. Friend ◽  
Juen Guo ◽  
Kevin D. Hall ◽  
Alexxai V. Kravitz

PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0123672 ◽  
Author(s):  
Wim Labree ◽  
Dike van de Mheen ◽  
Frans Rutten ◽  
Gerda Rodenburg ◽  
Gerrit Koopmans ◽  
...  

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