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Journal articles on the topic 'Energy expenditure'

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Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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1

Wallace, Brian P., Gary A. Sforzo, and Thomas Swensen. "Energy Expenditure." Medicine & Science in Sports & Exercise 36, Supplement (May 2004): S249. http://dx.doi.org/10.1249/00005768-200405001-01189.

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2

Wallace, Brian P., Gary A. Sforzo, and Thomas Swensen. "Energy Expenditure." Medicine & Science in Sports & Exercise 36, Supplement (May 2004): S249. http://dx.doi.org/10.1097/00005768-200405001-01189.

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3

DeLany, James P., and Jennifer C. Lovejoy. "ENERGY EXPENDITURE." Endocrinology and Metabolism Clinics of North America 25, no. 4 (December 1996): 831–46. http://dx.doi.org/10.1016/s0889-8529(05)70357-1.

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4

Schutz, Y., and E. Jéquier. "ENERGY EXPENDITURE." Lancet 327, no. 8472 (January 1986): 101–2. http://dx.doi.org/10.1016/s0140-6736(86)90753-1.

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5

Rothenberg, Elisabet M., Ingvar G. Bosaeus, Klaas R. Westerterp, and Bertil C. Steen. "Resting energy expenditure, activity energy expenditure and total energy expenditure at age 91–96 years." British Journal of Nutrition 84, no. 3 (September 2000): 319–24. http://dx.doi.org/10.1017/s0007114500001598.

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There is a limited knowledge concerning energy requirements of the elderly, especially the oldest old (> 80 years). Energy requirements should be estimated from measurements of energy expenditure. For this purpose twenty-one free-living individuals (eight males, thirteen females) aged 91–96 years living in Göteborg, Sweden were studied. Total body water (TBW) measured by the doubly-labelled-water (DLW) technique was 29·5 (SD 5·4) KG IN FEMALES AND 35·6 (sd 4·3) kg in males. TBW measured using bioelectric impedance (BIA) was 31·6 (sd 6·4) kg in females and 42·0 (sd 7·4) kg in males. The mean difference between TBW measured by BIA and that measured by DLW was 3·54 (sd 3·6) kg (P = 0·0002). Resting metabolic rate (RMR) was measured using a ventilated-hood system and averaged 5·36 (sd 0·71) MJ/d in females (n 12) and 6·09 (sd 0·91) MJ/d in males (n 8). Difference between measured RMR and predicted BMR (n 20) was 0·015 (sd 0·86) MJ/d (NS). Total energy expenditure (TEE) measured by DLW averaged 6·3 (sd 0·81) MJ/d in females and 8·1 (sd 0·73) MJ/d in males. Activity energy expenditure (TEE - RMR), thus including diet-induced thermogenesis (DIT), averaged 0·95 (sd 0·95) MJ/d in females (n 12) and 2·02 (sd 1·13) MJ/d in males. Physical activity level (TEE/BMR) averaged 1·19 (sd 0·19) in females and 1·36 (sd 0·21) (P = 0·08) in males. If DIT is assumed to be 10 % of the TEE, energy spent on physical activity will be very low in this population.

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6

OLOGBENLA, Patrick. "Determinants of Domestic Energy Expenditure in Nigeria." International Journal of Scientific and Management Research 05, no. 08 (2022): 115–26. http://dx.doi.org/10.37502/ijsmr.2022.5811.

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The study investigated the factors that determine domestic energy expenditures in Nigeria. The price of the premium motor spirit PMS was used as a proxy for the domestic energy expenditure while oil output, oil importance, inflation, and exchange rate are sed as other independent variables. The model was analyzed using the Auto-regressive Distributed Lag method and the result confirms the existence of the long-run relationship between domestic energy expenditures and the determinants. Findings from the studies underscore the importance of an increase in domestic output of oil and a reduction in the importation of oil as the main drivers of the expenditure on domestic energy in Nigeria. The remaining recommendation is that the Government of Nigeria should endeavor to increase the domestic production of refined oil in Nigeria and reduce the importation of fuel to reduce expenditure on domestic energy in Nigeria.

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7

Weissman, C., M. Kemper, J. Askanazi, A. I. Hyman, and J. M. Kinney. "RESTING ENERGY EXPENDITURE." Anesthesiology 65, Supplement 3A (September 1986): A87. http://dx.doi.org/10.1097/00000542-198609001-00086.

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8

Ibáñez, J., and J. M. Raurich. "Estimating Energy Expenditure." Journal of Parenteral and Enteral Nutrition 16, no. 6 (November 1992): 595. http://dx.doi.org/10.1177/0148607192016006595a.

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9

Gough, Nancy R. "Boosting energy expenditure." Science Signaling 9, no. 438 (July 26, 2016): ec170-ec170. http://dx.doi.org/10.1126/scisignal.aah6238.

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10

Naon, Hillel, Shirley Hack, Michael T. Shelton, Richard C. Gotthoffer, and David Gozal. "Resting Energy Expenditure." Chest 103, no. 6 (June 1993): 1819–25. http://dx.doi.org/10.1378/chest.103.6.1819.

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11

Apchel, V. Ya, O. O. Borisova, V. N. Golubev, Yu N. Korolev, and K. V. Romanov. "Assessment of еnergy expenditure and energy intake of the military institute of physical training cadets associated with their academic and professional activities." Bulletin of the Russian Military Medical Academy 20, no. 1 (March 15, 2018): 168–72. http://dx.doi.org/10.17816/brmma12292.

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High energy expenditure of daily activity of cadets trained at the Military Institute of Physical Training sets certain demands for cadets’ diet and correspondence of energy and nutrition value of the diet to energy expenditure. Calculated data on energy expenditures of daily routine activities of the Military Institute of Physical Training cadets, energy costs of academic training and sport-related activities are presented. Along with energy expenditure another issue of balance, namely energy intake, is considered. Calculated findings on nutrition and caloric value of a cadets’ food ration and the Military Institute of Physical Training cadets’ diet and energy consumption of cadets are presented. It is shown that cadets’ diet corresponds to average energy expenditure. A comparison of the energy value of the daily ration of cadets and their energy expenditure revealed that the food ration compensates the average energy expenditure. The exceptions are intensive training in the framework of improving athletic skills (2 trainings per day), as well as periods when individual training takes place at the same time with high energy expenditures of a daily routine (for example, snow cleaning). In these cases daily energy expenditure (up to 5000 kcal) was recorded, exceeding the energy cost of food rations and requiring increased energy supply. In addition, the vitamin status of cadets was investigated. No signs of vitamins deficiency in the food ration were revealed. However, in the spring period, a decrease in the content of ascorbic acid in urine is shown in 80% of the subjects.

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12

Grzywiński, Witold, Piotr S. Mederski, and Mariusz Bembenek. "Comparing methods of energy expenditure estimation using forestry as an example." Forest Research Papers 75, no. 4 (March 4, 2015): 417–21. http://dx.doi.org/10.2478/frp-2014-0038.

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Abstract In this paper the values of energy expenditure obtained with estimative methods (tables of energy expenditure, Lehmann’s method) were compared to the data obtained with a method based on pulmonary ventilation measurements. Thereby, the usefulness of estimative methods for determining energy expenditure on work stations in forestry was tested. We compared energy expenditures for 30 forestry workstations within which 59 different activities were distinguished. For each activity the energy expenditure was determined utilizing the three following methods: pulmonary ventilation measurement, tables of energy expenditure and Lehmann’s method. The percentage error in energy expenditure for particular activities determined with tables ranged from -44.47% to 42.31%. The highest representation of error value (52.8%) varied between -19.9% and 5.0%. The error in energy expenditure estimation determined with Lehmann’s method is characterised by a smaller variability ranging from -31.35% to 34.13%. The highest density of error values was found in the range from -4.9% to 10.0%, which comprises 44.1% of the results. To conclude, the use of tables resulted in an underestimation of the energy expenditure value for 64.1% of activities, whereas the use of Lehmann’s method resulted in an underestimation in 49.1% of the cases.

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13

Bosy-Westphal, Anja, and Manfred J. Müller. "Energy intake or energy expenditure?" American Journal of Clinical Nutrition 84, no. 4 (October 1, 2006): 945. http://dx.doi.org/10.1093/ajcn/84.4.945a.

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14

CHAMPAGNE, CATHERINE M., GEORGE A. BRAY, APRIL A. KURTZ, JOSEFINA BRESSAN RESENDE MONTEIRO, ELIZABETH TUCKER, JULIA VOLAUFOVA, and JAMES P. DELANY. "Energy Intake and Energy Expenditure." Journal of the American Dietetic Association 102, no. 10 (October 2002): 1428–32. http://dx.doi.org/10.1016/s0002-8223(02)90316-0.

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15

Depo, Kamil, Fabienne Rabier, Bruno Huyghebaert, Agnieszka Szparaga, and Sławomir Kocira. "The Impact of Economic Size of Farms on their Material and Energy Expenditure." Agricultural Engineering 24, no. 2 (June 1, 2020): 29–38. http://dx.doi.org/10.1515/agriceng-2020-0014.

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AbstractThe study assesses the impact of the economic size of farms on the efficiency of their material and energy expenditure, based on 679 farms from the Lubelskie Voivodeship. The analysis was made for the years 2013-2015 and the farms were divided into six economic size classes. 5 indexes for the efficiency of material, energy and material-energy expenditures were calculated for all farms. The aim of the work was to select a group of farms with the highest efficiency of energy and material expenditure. It was found that economically small farms managed this expenditure most effectively, as evidenced by the highest values of 4 out of 5 analyzed indexes. Very small and medium-small farms demonstrated the highest efficiency of material expenditure. In contrast, energy expenditure was most efficiently used by medium-small farms. The farms that were the largest economically were characterized by the highest efficiency index of material and energy expenditure, calculated as the ratio of total production to the expenditure.

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16

Trębska, Paulina. "USE OF ENERGY BY HOUSEHOLDS IN POLAND." Annals of the Polish Association of Agricultural and Agribusiness Economists XX, no. 2 (May 7, 2018): 157–61. http://dx.doi.org/10.5604/01.3001.0011.8131.

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Households in Poland are characterized by the highest energy consumption in the structure of final energy consumption in general, and energy expenditure is an important item in expenditures in the household budget of households. The aim of the article is to present changes in the use of energy by households in Poland. Changes in energy expenditure in households in 2010-2016 were also assessed. The article uses secondary data from the Central Statistical Office.

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17

Scott, Christopher B., Michael P. Leary, and Andrew J. TenBraak. "Energy expenditure characteristics of weight lifting: 2 sets to fatigue." Applied Physiology, Nutrition, and Metabolism 36, no. 1 (January 2011): 115–20. http://dx.doi.org/10.1139/h10-093.

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We investigated the work performed and energy expenditure characteristics within and among 2 sets of the bench press at 70%, 80%, and 90% of 1 repetition maximum (1RM). For both sets fatigue was the end point. We asked: do multiple sets affect subsequent work output along with aerobic, anaerobic, and excess postexercise oxygen consumption (EPOC) contributions? Ten males participated. Work was significantly less for the 2nd set within the 70% and 80% protocols, but not the 90% protocol. Anaerobic (glycolytic) energy expenditure was less for the 2nd set within all protocols. However, within all protocols, the work / energy expenditure ratio was not different between sets. Overall work was significantly different among protocols, becoming less as the weight lifted was increased: 70%, 637.1 ± 122.4 J; 80%, 512.4 ± 93.4 J; 90%, 324.7 ± 92.6 J (p < 0.001). EPOC was not different among protocols after the 1st set, 2nd set, or combined overall. Moreover, the overall EPOC did not correlate with overall work performed (r = 0.31, p = 0.11). EPOC overall did correlate with aerobic (r = 0.68, p < 0.001) and anaerobic (r = 0.65, p < 0.001) energy expenditures. In terms of a work / energy expenditure ratio, the least amount of completed work at 90% 1RM required greater energy expenditure as compared with 70% and 80% because of an EPOC that is similar for all. As more work is completed (i.e., lower weight, more repetitions), aerobic and anaerobic exercise energy expenditures appear to increase accordingly, yet absolute EPOC remains essentially unchanged, contributing less to the overall energy expenditure.

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18

Hand, Gregory, Robin Shook, Daniel O'Connor, Clemens Drenowatz, and Steven Blair. "The Impact Of Exercise Energy Expenditure On Total Daily Energy Expenditure." Medicine & Science in Sports & Exercise 52, no. 7S (July 2020): 344. http://dx.doi.org/10.1249/01.mss.0000677500.34671.fb.

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19

Depo, Kamil, Agnieszka Szparaga, Miroslav Pristavka, and Sławomir Kocira. "Usable Agricultural Area of Farms and their Material and Energy Expenditure Efficiency." Agricultural Engineering 24, no. 1 (March 1, 2020): 15–24. http://dx.doi.org/10.1515/agriceng-2020-0002.

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AbstractThe paper analyzes the efficiency of material and energy expenditure in 679 farms with agricultural production as the main source of income for the years 2013-2015. Six groups of farms were identified according to usable agricultural area (UAA). The aim of the work was to determine the impact of UAA of farms on their material and energy expenditure efficiency. It was found that the area of UAA determines the farms’ material and energy expenditure efficiency. It was observed that small farms with UAA of 5 to 10 ha are characterized by the highest material and energy expenditure efficiency. It was proven that the material and energy expenditure efficiency in “Small” farms with UAA (<= 5ha) and “Very large”, with UAA (> 50ha) differs significantly from the efficiency determined for other farm groups. Material and energy expenditures were used the least efficiently in the farms with the smallest UAA.

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20

van Marken Lichtenbelt, Wouter D., Patrick Schrauwen, Stephanie van de Kerckhove, and Margriet S. Westerterp-Plantenga. "Individual variation in body temperature and energy expenditure in response to mild cold." American Journal of Physiology-Endocrinology and Metabolism 282, no. 5 (May 1, 2002): E1077—E1083. http://dx.doi.org/10.1152/ajpendo.00020.2001.

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We studied interindividual variation in body temperature and energy expenditure, the relation between these two, and the effect of mild decrease in environmental temperature (16 vs. 22°C) on both body temperature and energy expenditure. Nine males stayed three times for 60 h (2000–0800) in a respiration chamber, once at 22°C and twice at 16°C, in random order. Twenty-four-hour energy expenditure, thermic effect of food, sleeping metabolic rate, activity-induced energy expenditure, and rectal and skin temperatures were measured. A rank correlation test with data of 6 test days showed significant interindividual variation in both rectal and skin temperatures and energy expenditures adjusted for body composition. Short-term exposure of the subjects to 16°C caused a significant decrease in body temperature (both skin and core), an increase in temperature gradients, and an increase in energy expenditure. The change in body temperature gradients was negatively related to changes in energy expenditure. This shows that interindividual differences exist with respect to the relative contribution of metabolic and insulative adaptations to cold.

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21

Müller, M. J., and C. Geisler. "From the past to future: from energy expenditure to energy intake to energy expenditure." European Journal of Clinical Nutrition 71, no. 3 (November 30, 2016): 358–64. http://dx.doi.org/10.1038/ejcn.2016.231.

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22

Ramsey, Jon J., and Kevork Hagopian. "Energy Expenditure and Restriction of Energy Intake: Could Energy Restriction Alter Energy Expenditure in Companion Animals?" Journal of Nutrition 136, no. 7 (July 1, 2006): 1958S—1966S. http://dx.doi.org/10.1093/jn/136.7.1958s.

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23

Durkin, John T. "Antinoise and Energy Expenditure." Science 252, no. 5013 (June 21, 1991): 1601. http://dx.doi.org/10.1126/science.252.5013.1601-b.

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24

Durkin, John T. "Antinoise and Energy Expenditure." Science 252, no. 5013 (June 21, 1991): 1601. http://dx.doi.org/10.1126/science.252.5013.1601.b.

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25

Ainslie, Philip N., Thomas Reilly, and Klass R. Westerterp. "Estimating Human Energy Expenditure." Sports Medicine 33, no. 9 (2003): 683–98. http://dx.doi.org/10.2165/00007256-200333090-00004.

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26

Baker, A., P. Amoroso, S. Wilson, J. Ely, C. Ball, J. Ponte, and AP Mowat. "INCREASED RESTING ENERGY EXPENDITURE." Journal of Pediatric Gastroenterology and Nutrition 13, no. 3 (October 1991): 318. http://dx.doi.org/10.1097/00005176-199110000-00028.

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27

Dauncey, M. J. "Activity and energy expenditure." Canadian Journal of Physiology and Pharmacology 68, no. 1 (January 1, 1990): 17–27. http://dx.doi.org/10.1139/y90-002.

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The influence of small changes in activity on energy expenditure and hence on energy requirements and energy balance is assessed. Evidence from direct and indirect calorimetry suggests that differences in spontaneous minor activity could readily alter 24-h energy expenditure by as much as 20%. This compares with values in the order of 10% for moderate overfeeding and somewhat less than this during mild cold exposure. Individual variability in 24-h energy expenditure can therefore be accounted for not only by differences in resting metabolism and the thermic responses to energy intake and temperature but also by differences in minor activity. Interactions between activity and environmental factors such as nutrition and temperature can modify the effect of activity on energy balance. Very little is known about mechanisms that could account for differences in spontaneous activity and these need to be the subject of future investigations.Key words: activity, energy balance, nutrition, temperature, thermogenesis.

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28

Björntorp, Per A. "Diet and energy expenditure." American Journal of Clinical Nutrition 49, no. 5 (May 1, 1989): 933. http://dx.doi.org/10.1093/ajcn/49.5.933.

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29

Vaughan, L., F. Zurlo, and E. Ravussin. "Aging and energy expenditure." American Journal of Clinical Nutrition 53, no. 4 (April 1, 1991): 821–25. http://dx.doi.org/10.1093/ajcn/53.4.821.

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30

McCole, S. D., K. Claney, J. C. Conte, R. Anderson, and J. M. Hagberg. "Energy expenditure during bicycling." Journal of Applied Physiology 68, no. 2 (February 1, 1990): 748–53. http://dx.doi.org/10.1152/jappl.1990.68.2.748.

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This study was designed to measure the O2 uptake (VO2) of cyclists while they rode outdoors at speeds from 32 to 40 km/h. Regression analyses of data from 92 trials using the same wheels, tires, and tire pressure with the cyclists riding in their preferred gear and in an aerodynamic position indicated the best equation (r = 0.84) to estimate VO2 in liters per minute VO2 = -4.50 + 0.17 rider speed + 0.052 wind speed + 0.022 rider weight where rider and wind speed are expressed in kilometers per hour and rider weight in kilograms. Following another rider closely, i.e., drafting, at 32 km/h reduced VO2 by 18 +/- 11%; the benefit of drafting a single rider at 37 and 40 km/h was greater (27 +/- 8%) than that at 32 km/h. Drafting one, two, or four riders in a line at 40 km/h resulted in the same reduction in VO2 (27 +/- 7%). Riding at 40 km/h at the back of a group of eight riders reduced VO2 by significantly more (39 +/- 6%) than drafting one, two, or four riders in a line; drafting a vehicle at 40 km/h resulted in the greatest decrease in VO2 (62 +/- 6%). VO2 was also 7 +/- 4% lower when the cyclists were riding an aerodynamic bicycle. An aerodynamic set of wheels with a reduced number of spokes and one set of disk wheels were the only wheels to reduce VO2 significantly while the cyclists were riding a conventional racing bicycle at 40 km/h.(ABSTRACT TRUNCATED AT 250 WORDS)

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31

Antoni, Giorgia, Elisabetta Marini, Nicoletta Curreli, Valerio Tuveri, Ornella Comandini, Stefano Cabras, Silvia Gabba, Clelia Madeddu, Antonio Crisafulli, and Andrea C. Rinaldi. "Energy expenditure in caving." PLOS ONE 12, no. 2 (February 3, 2017): e0170853. http://dx.doi.org/10.1371/journal.pone.0170853.

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32

Goldberg, Lynette R., Cynthia J. Heiss, Jaclyn A. Yenter, Douglas F. Parham, Jeremy A. Patterson, Nicholas Walton, and Julie A. Scherz. "Energy Expenditure During Chewing." Topics in Clinical Nutrition 27, no. 1 (2012): 74–80. http://dx.doi.org/10.1097/tin.0b013e31824622c2.

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33

Rose, Jessica, James G. Gamble, Jane Lee, Robert Lee, and William L. Haskell. "The Energy Expenditure Index." Journal of Pediatric Orthopaedics 11, no. 5 (September 1991): 571–78. http://dx.doi.org/10.1097/01241398-199109000-00002.

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34

Rose, Jessica, James G. Gamble, Jane Lee, Robert Lee, and William L. Haskell. "The Energy Expenditure Index." Journal of Pediatric Orthopaedics 11, no. 5 (September 1991): 571–78. http://dx.doi.org/10.1097/01241398-199111050-00002.

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35

Hukshorn, Chris J., and Wim HM Saris. "Leptin and energy expenditure." Current Opinion in Clinical Nutrition and Metabolic Care 7, no. 6 (November 2004): 629–33. http://dx.doi.org/10.1097/00075197-200411000-00007.

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36

Rising, R. "Total daily energy expenditure." Journal of the American College of Nutrition 13, no. 4 (August 1994): 309–10. http://dx.doi.org/10.1080/07315724.1994.10718414.

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37

Levine, James A. "Measurement of energy expenditure." Public Health Nutrition 8, no. 7a (October 2005): 1123–32. http://dx.doi.org/10.1079/phn2005800.

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AbstractMeasurement of energy expenditure in humans is required to assess metabolic needs, fuel utilisation, and the relative thermic effect of different food, drink, drug and emotional components. Indirect and direct calorimetric and non-calorimetric methods for measuring energy expenditure are reviewed, and their relative value for measurement in the laboratory and field settings is assessed. Where high accuracy is required and sufficient resources are available, an open-circuit indirect calorimeter can be used. Open-circuit indirect calorimeters can employ a mask, hood, canopy or room/chamber for collection of expired air. For short-term measurements, mask, hood or canopy systems suffice. Chamber-based systems are more accurate for the long-term measurement of specified activity patterns but behaviour constraints mean they do not reflect real life. Where resources are limited and/or optimum precision can be sacrificed, flexible total collection systems and non-calorimetric methods are potentially useful if the limitations of these methods are appreciated. The use of the stable isotope technique, doubly labelled water, enables total daily energy expenditure to be measured accurately in free-living subjects. The factorial method for combining activity logs and data on the energy costs of activities can also provide detailed information on free-living subjects.

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38

Cortis, Cristina, Carl Foster, Mich Cook, Scott T. Doberstein, Cordial Gillette, and John P. Porcari. "Indoor Cycling Energy Expenditure." Medicine & Science in Sports & Exercise 50, no. 5S (May 2018): 24. http://dx.doi.org/10.1249/01.mss.0000535162.50497.cf.

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39

DURKIN, J. T. "Antinoise and Energy Expenditure." Science 252, no. 5013 (June 21, 1991): 1601. http://dx.doi.org/10.1126/science.252.5013.1601-a.

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40

Roberts, Susan B., Sai Krupa Das, and Edward Saltzman. "Energy expenditure in obesity." American Journal of Clinical Nutrition 79, no. 2 (February 1, 2004): 181–82. http://dx.doi.org/10.1093/ajcn/79.2.181.

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41

Armstrong, Lawrence E. "ENVIRONMENTAL CONSIDERATIONS: Energy Expenditure." National Strength & Conditioning Association Journal 13, no. 4 (1991): 65. http://dx.doi.org/10.1519/0744-0049(1991)013<0065:ee>2.3.co;2.

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42

Chwalibog, A., and G. Thorbek. "Energy expenditure byde novolipogenesis." British Journal of Nutrition 86, no. 2 (August 2001): 309. http://dx.doi.org/10.1079/bjn2001401.

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43

Kaempfer, Suzanne Hearne, and Ada M. Lindsey. "Energy expenditure in cancer." Cancer Nursing 9, no. 4 (August 1986): 194???199. http://dx.doi.org/10.1097/00002820-198608000-00007.

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44

&NA;. "Energy Expenditure in Cancer." Cancer Nursing 10, no. 2 (April 1987): 121. http://dx.doi.org/10.1097/00002820-198704000-00010.

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45

Manini, Todd M. "Energy expenditure and aging." Ageing Research Reviews 9, no. 1 (January 2010): 1–11. http://dx.doi.org/10.1016/j.arr.2009.08.002.

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46

DeLany, James P. "Measurement of energy expenditure." Pediatric Blood & Cancer 58, no. 1 (October 18, 2011): 129–34. http://dx.doi.org/10.1002/pbc.23369.

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47

Sridhar, S. N., J. S. Dollahite, and K. E. Moody. "Comparison of Energy Expenditure of Cerebral Palsy Children with Predicted Energy Expenditure." Journal of the American Dietetic Association 95, no. 9 (September 1995): A61. http://dx.doi.org/10.1016/s0002-8223(95)00558-7.

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48

Arakawa, Fumiyasu, and Christopher Nicholson. "Prehistoric resource procurement in the central Mesa Verde region: A study of human mobility and social interactions using GIS." International Journal of Humanities and Arts Computing 3, no. 1-2 (October 2009): 85–100. http://dx.doi.org/10.3366/ijhac.2009.0010.

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The use of a Geographic Information System (GIS) in the study of lithic procurement patterns provides crucial information about energy expenditure and territoriality of prehistoric communities. Cost-weight analyses calculate proxy energetic expenditures of agents who transport lithic materials from a quarry to the nearest habitation site. Illustrating energy expenditure values onto maps helps us understand changes in toolstone procurement patterns through time. Comparing energy expenditure values from one time period to another also demonstrates when agents developed the sense of territoriality. This research investigates how the central Mesa Verde Puebloans utilised resources on their landscape from A.D. 600 to 1280.

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49

Adnyana, I. Ketut, Tommy Apriantono, Sandra Jati Purwanti, and Tjokorde Istri Armina. "Karakteristik Energy Expenditure di Kegiatan Alam Terbuka." Acta Pharmaceutica Indonesia 37, no. 1 (March 30, 2012): 28–32. http://dx.doi.org/10.5614/api.v37i1.4036.

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Pengukuran pengeluaran energi (energy expenditure) selama kegiatan di alam terbuka merupakan salah satu cara untuk mengurangi risiko kecelakaan dan menghindari penurunan kinerja selama kegiatan. Pada penelitian ini akan dilakukan pengukuran pengeluaran energi dan parameter lain selama kegiatan Pendidikan Dasar Wanadri (PDW) 2010, di Situ Lembang dengan ketinggian 1600 meter dpl, dalam rentang waktu 4 -16 Juli 2010. Pengukuran pengeluaran energi serta denyut jantung menggunakan Polar RS400. Pengukuran berat badan, persentase lemak tubuh, dan tekanan darah dilakukan pada hari tertentu dari setiap jenis kegiatan yang berbeda. Kuesioner diberikan pada akhir terakhir setiap jenis kegiatan berbeda.Subjek penelitian yang digunakan berjumlah 6 orang pria yang rata-rata berusia 20,7 ± 1,6 tahun, dengan rata-rata tinggi badan 171,8 ± 3 cm, dan berat badan 66,2 ± 5,1 kg. Pengeluaran energi saat kegiatan berbeda bermakna dan mencapai 2-3 kali lipat dari pengeluaran energi saat kegiatan normal sebelum kegiatan PDW (2956 ± 495 kkal/hari). Pengeluaran energi terbesar terjadi saat kegiatan longmarch (8286 ± 730 kkal/hari). Jumlah asupan energi (energy intake) rata-rata selama PDW terekam sebesar 1380 kkal/hari. Terjadi penurunan berat badan (10,20 ± 0,80 %), penurunan persentase lemak tubuh (48,80 ± 2,63 %), danpenurunan massa bebas-lemak (2,87 ± 0,06 %). Dari analisis data dapat disimpulkan bahwa pengeluaran energi tidak diimbangi dengan asupan energi yang cukup, sehingga terjadi perubahan berat badan dan komposisi tubuh.Kata Kunci: pengeluaran energi, kegiatan alam terbuka Determination of energy expenditure during outdoor activity is performed to reduce the risk of accidents and to avoid a fall of performance during activity. In this study, energy expenditure measurement was performed during Pendidikan Dasar Wanadri (basic training of Wanadri or PDW) 2010, at Situ Lembang which is 1600 meter above sea level, from 4 to 16 July 2010. Measurement of body weight, body fat percentage and blood pressure was performed on certain days of each different type of activity. Questionnaires were distributed on the last day of each different activity. Subjects were 6 males, which average age, height, and weight were 20.7 ± 1.6 years old, 171.8 ± 3 cm, and 66.2 ± 5.1 kg respectively. Energy expenditure during PDW activity was significantly larger, around 2-3 times of the normal activity energy expenditure prior to PDW (2956 ± 495 kcal/day). The largest energy expenditure recorded was during long march activity (8286 ± 730 kcal/day). Average energy intake during PDW was recorded at 1380 kcal/day. Weight loss (10.20 ± 0.80 %), body fat percentage decrease (48.80 ± 2.63 %), and fat-free mass decrease (2.87 ± 0.06 %) occurred in subjects during the activity. It was concluded from the data that the energy expenditure was much larger than the energy intake, which caused changes in body weight as well as body composition.Keywords: energy expenditure, outdoor activity

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Müller, M. J., and C. Geisler. "Erratum: From the past to future: from energy expenditure to energy intake to energy expenditure." European Journal of Clinical Nutrition 71, no. 5 (March 8, 2017): 678. http://dx.doi.org/10.1038/ejcn.2017.32.

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