Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders

Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were a...
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Autor*in:	Bellissimo, Moriah P. [verfasserIn] Licata, Ashley D. Nucci, Anita Thompson, Walter Benardot, Dan

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Athlete Energy availability Energy deficit RED-S Restrictive diet Nutrition

Anmerkung:	© Beijing Sport University 2019

Übergeordnetes Werk:	Enthalten in: Journal of science in sport and exercise - [Singapore] : Springer Singapore, 2019, 1(2019), 1 vom: Mai, Seite 69-77
Übergeordnetes Werk:	volume:1 ; year:2019 ; number:1 ; month:05 ; pages:69-77

Links:	Volltext

DOI / URN:	10.1007/s42978-019-0004-9

Katalog-ID:	SPR038797720

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100	1		\|a Bellissimo, Moriah P. \|e verfasserin \|4 aut
245	1	0	\|a Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders
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520			\|a Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data. Results Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013). Conclusions These athletes reported low energy intakes that resulted in large EB deficits and/or more hours in a negative EB, which could be counterproductive for achieving a lean body composition overtime.
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700	1		\|a Licata, Ashley D. \|4 aut
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700	1		\|a Thompson, Walter \|4 aut
700	1		\|a Benardot, Dan \|4 aut
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matchkey_str	article:26621371:2019----::eainhpbtensiaehuleegblnenbdcmoiinn
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publishDate	2019
allfields	10.1007/s42978-019-0004-9 doi (DE-627)SPR038797720 (SPR)s42978-019-0004-9-e DE-627 ger DE-627 rakwb eng Bellissimo, Moriah P. verfasserin aut Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Beijing Sport University 2019 Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data. Results Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013). Conclusions These athletes reported low energy intakes that resulted in large EB deficits and/or more hours in a negative EB, which could be counterproductive for achieving a lean body composition overtime. Athlete (dpeaa)DE-He213 Energy availability (dpeaa)DE-He213 Energy deficit (dpeaa)DE-He213 RED-S (dpeaa)DE-He213 Restrictive diet (dpeaa)DE-He213 Nutrition (dpeaa)DE-He213 Licata, Ashley D. aut Nucci, Anita aut Thompson, Walter aut Benardot, Dan aut Enthalten in Journal of science in sport and exercise [Singapore] : Springer Singapore, 2019 1(2019), 1 vom: Mai, Seite 69-77 (DE-627)1688112537 (DE-600)3006147-7 2662-1371 nnns volume:1 year:2019 number:1 month:05 pages:69-77 https://dx.doi.org/10.1007/s42978-019-0004-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 1 2019 1 05 69-77
spelling	10.1007/s42978-019-0004-9 doi (DE-627)SPR038797720 (SPR)s42978-019-0004-9-e DE-627 ger DE-627 rakwb eng Bellissimo, Moriah P. verfasserin aut Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Beijing Sport University 2019 Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data. Results Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013). Conclusions These athletes reported low energy intakes that resulted in large EB deficits and/or more hours in a negative EB, which could be counterproductive for achieving a lean body composition overtime. Athlete (dpeaa)DE-He213 Energy availability (dpeaa)DE-He213 Energy deficit (dpeaa)DE-He213 RED-S (dpeaa)DE-He213 Restrictive diet (dpeaa)DE-He213 Nutrition (dpeaa)DE-He213 Licata, Ashley D. aut Nucci, Anita aut Thompson, Walter aut Benardot, Dan aut Enthalten in Journal of science in sport and exercise [Singapore] : Springer Singapore, 2019 1(2019), 1 vom: Mai, Seite 69-77 (DE-627)1688112537 (DE-600)3006147-7 2662-1371 nnns volume:1 year:2019 number:1 month:05 pages:69-77 https://dx.doi.org/10.1007/s42978-019-0004-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 1 2019 1 05 69-77
allfields_unstemmed	10.1007/s42978-019-0004-9 doi (DE-627)SPR038797720 (SPR)s42978-019-0004-9-e DE-627 ger DE-627 rakwb eng Bellissimo, Moriah P. verfasserin aut Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Beijing Sport University 2019 Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data. Results Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013). Conclusions These athletes reported low energy intakes that resulted in large EB deficits and/or more hours in a negative EB, which could be counterproductive for achieving a lean body composition overtime. Athlete (dpeaa)DE-He213 Energy availability (dpeaa)DE-He213 Energy deficit (dpeaa)DE-He213 RED-S (dpeaa)DE-He213 Restrictive diet (dpeaa)DE-He213 Nutrition (dpeaa)DE-He213 Licata, Ashley D. aut Nucci, Anita aut Thompson, Walter aut Benardot, Dan aut Enthalten in Journal of science in sport and exercise [Singapore] : Springer Singapore, 2019 1(2019), 1 vom: Mai, Seite 69-77 (DE-627)1688112537 (DE-600)3006147-7 2662-1371 nnns volume:1 year:2019 number:1 month:05 pages:69-77 https://dx.doi.org/10.1007/s42978-019-0004-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 1 2019 1 05 69-77
allfieldsGer	10.1007/s42978-019-0004-9 doi (DE-627)SPR038797720 (SPR)s42978-019-0004-9-e DE-627 ger DE-627 rakwb eng Bellissimo, Moriah P. verfasserin aut Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Beijing Sport University 2019 Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data. Results Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013). Conclusions These athletes reported low energy intakes that resulted in large EB deficits and/or more hours in a negative EB, which could be counterproductive for achieving a lean body composition overtime. Athlete (dpeaa)DE-He213 Energy availability (dpeaa)DE-He213 Energy deficit (dpeaa)DE-He213 RED-S (dpeaa)DE-He213 Restrictive diet (dpeaa)DE-He213 Nutrition (dpeaa)DE-He213 Licata, Ashley D. aut Nucci, Anita aut Thompson, Walter aut Benardot, Dan aut Enthalten in Journal of science in sport and exercise [Singapore] : Springer Singapore, 2019 1(2019), 1 vom: Mai, Seite 69-77 (DE-627)1688112537 (DE-600)3006147-7 2662-1371 nnns volume:1 year:2019 number:1 month:05 pages:69-77 https://dx.doi.org/10.1007/s42978-019-0004-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 1 2019 1 05 69-77
allfieldsSound	10.1007/s42978-019-0004-9 doi (DE-627)SPR038797720 (SPR)s42978-019-0004-9-e DE-627 ger DE-627 rakwb eng Bellissimo, Moriah P. verfasserin aut Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Beijing Sport University 2019 Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data. Results Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013). Conclusions These athletes reported low energy intakes that resulted in large EB deficits and/or more hours in a negative EB, which could be counterproductive for achieving a lean body composition overtime. Athlete (dpeaa)DE-He213 Energy availability (dpeaa)DE-He213 Energy deficit (dpeaa)DE-He213 RED-S (dpeaa)DE-He213 Restrictive diet (dpeaa)DE-He213 Nutrition (dpeaa)DE-He213 Licata, Ashley D. aut Nucci, Anita aut Thompson, Walter aut Benardot, Dan aut Enthalten in Journal of science in sport and exercise [Singapore] : Springer Singapore, 2019 1(2019), 1 vom: Mai, Seite 69-77 (DE-627)1688112537 (DE-600)3006147-7 2662-1371 nnns volume:1 year:2019 number:1 month:05 pages:69-77 https://dx.doi.org/10.1007/s42978-019-0004-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 1 2019 1 05 69-77
language	English
source	Enthalten in Journal of science in sport and exercise 1(2019), 1 vom: Mai, Seite 69-77 volume:1 year:2019 number:1 month:05 pages:69-77
sourceStr	Enthalten in Journal of science in sport and exercise 1(2019), 1 vom: Mai, Seite 69-77 volume:1 year:2019 number:1 month:05 pages:69-77
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Athlete Energy availability Energy deficit RED-S Restrictive diet Nutrition
isfreeaccess_bool	false
container_title	Journal of science in sport and exercise
authorswithroles_txt_mv	Bellissimo, Moriah P. @@aut@@ Licata, Ashley D. @@aut@@ Nucci, Anita @@aut@@ Thompson, Walter @@aut@@ Benardot, Dan @@aut@@
publishDateDaySort_date	2019-05-01T00:00:00Z
hierarchy_top_id	1688112537
id	SPR038797720
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR038797720</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230328220601.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2019 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s42978-019-0004-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR038797720</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42978-019-0004-9-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bellissimo, Moriah P.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Beijing Sport University 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data. Results Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013). 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author	Bellissimo, Moriah P.
spellingShingle	Bellissimo, Moriah P. misc Athlete misc Energy availability misc Energy deficit misc RED-S misc Restrictive diet misc Nutrition Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders
authorStr	Bellissimo, Moriah P.
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topic_title	Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders Athlete (dpeaa)DE-He213 Energy availability (dpeaa)DE-He213 Energy deficit (dpeaa)DE-He213 RED-S (dpeaa)DE-He213 Restrictive diet (dpeaa)DE-He213 Nutrition (dpeaa)DE-He213
topic	misc Athlete misc Energy availability misc Energy deficit misc RED-S misc Restrictive diet misc Nutrition
topic_unstemmed	misc Athlete misc Energy availability misc Energy deficit misc RED-S misc Restrictive diet misc Nutrition
topic_browse	misc Athlete misc Energy availability misc Energy deficit misc RED-S misc Restrictive diet misc Nutrition
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title	Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders
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title_full	Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders
author_sort	Bellissimo, Moriah P.
journal	Journal of science in sport and exercise
journalStr	Journal of science in sport and exercise
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author_browse	Bellissimo, Moriah P. Licata, Ashley D. Nucci, Anita Thompson, Walter Benardot, Dan
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author-letter	Bellissimo, Moriah P.
doi_str_mv	10.1007/s42978-019-0004-9
title_sort	relationships between estimated hourly energy balance and body composition in professional cheerleaders
title_auth	Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders
abstract	Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data. Results Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013). Conclusions These athletes reported low energy intakes that resulted in large EB deficits and/or more hours in a negative EB, which could be counterproductive for achieving a lean body composition overtime. © Beijing Sport University 2019
abstractGer	Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data. Results Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013). Conclusions These athletes reported low energy intakes that resulted in large EB deficits and/or more hours in a negative EB, which could be counterproductive for achieving a lean body composition overtime. © Beijing Sport University 2019
abstract_unstemmed	Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data. Results Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013). Conclusions These athletes reported low energy intakes that resulted in large EB deficits and/or more hours in a negative EB, which could be counterproductive for achieving a lean body composition overtime. © Beijing Sport University 2019
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title_short	Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders
url	https://dx.doi.org/10.1007/s42978-019-0004-9
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author2	Licata, Ashley D. Nucci, Anita Thompson, Walter Benardot, Dan
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up_date	2024-07-03T20:03:15.394Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR038797720</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230328220601.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2019 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s42978-019-0004-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR038797720</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42978-019-0004-9-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bellissimo, Moriah P.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Beijing Sport University 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Purpose We sought to describe and examine the interrelationships between energy intake, body composition, and estimated energy balance. Methods Using self-reported hourly food intake and formula-based energy expenditure (EE) protocols, 19 female professional cheerleaders (mean age 25.4 years) were assessed to obtain energy balance (EB) for a typical training day. Energy intake (EI) was predicted using the USDA Food Composition Database SR27, and EE was predicted using the Harris-Benedict equation plus a MET-based relative intensity activity scale. Body composition was predicted using a multi-current, 8-mode segmental bioelectrical impedance analysis system. Hourly and daily EB was calculated from EI and EE data. Results Subjects reported a 24 h EI significantly below (P < 0.001) the unadjusted predicted energy requirement (1482 kcal vs. 2199 kcal, respectively), resulting in an average negative net EB of − 720 kcal. Carbohydrate intake was significantly below the minimum recommended level (3.1 g/kg vs. 6 g/kg, P < 0.001) while protein and fat intakes met the recommended levels. Higher fat intake (g/kg) was significantly associated with a higher EI kcal/kg (r = 0.726; P < 0.001), which was significantly associated (r = − 0.55; P = 0.01) with a lower body fat percent (BF%). Using the median of BF% (20.9) as the cut point, participants with fewer hours in a negative EB had lower BF% (P = 0.043) and those with lower BF% spent more time in an EB of ± 300 kcal (P = 0.013). Conclusions These athletes reported low energy intakes that resulted in large EB deficits and/or more hours in a negative EB, which could be counterproductive for achieving a lean body composition overtime.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Athlete</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Energy availability</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Energy deficit</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">RED-S</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Restrictive diet</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield 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Relationships Between Estimated Hourly Energy Balance and Body Composition in Professional Cheerleaders

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