Relationship between protein intake and resistance training–induced muscle hypertrophy in middle-aged women: A pilot study
•A 16-wk resistance exercise training program caused 1.5% muscle hypertrophy (MH).•Daily total protein intake throughout the intervention was not associated with MH.•Protein intake at baseline during breakfast was negatively associated with MH.•Increased protein intake at breakfast during resistance...
Gespeichert in:
Veröffentlicht in: | Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2022-05, Vol.97, p.111607-111607, Article 111607 |
---|---|
Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 111607 |
---|---|
container_issue | |
container_start_page | 111607 |
container_title | Nutrition (Burbank, Los Angeles County, Calif.) |
container_volume | 97 |
creator | Yasuda, Jun Murata, Kao Hasegawa, Tsubasa Yamamura, Mana Maeo, Sumiaki Takegaki, Junya Tottori, Nobuaki Yokokawa, Takumi Mori, Risako Arimitsu, Takuma Nishikori, Shu Fujita, Satoshi |
description | •A 16-wk resistance exercise training program caused 1.5% muscle hypertrophy (MH).•Daily total protein intake throughout the intervention was not associated with MH.•Protein intake at baseline during breakfast was negatively associated with MH.•Increased protein intake at breakfast during resistance exercise training was positively associated with MH.
The aim of this study was to observe the relationship of protein intake at each meal and daily total with change in lean tissue mass with progressive resistance exercise training (RET) in healthy middle-aged women.
Twenty-two healthy Japanese women were recruited from Shiga Prefecture, Japan, and a supervised whole body RET program was conducted twice a week for 16 wk. The dietary intake was assessed using 3-d dietary records. Dual-energy x-ray absorptiometry was used to measure the whole body lean soft tissue mass (WLTM). Multiple regression analysis was performed to examine the relationship between the protein intake and RET-induced changes in the WLTM after adjusting for age, sleep quality, physical activity, and energy intake.
The 16-wk RET program caused a significant gain in the WLTM (1.46 ± 0.45%, P = 0.004). Multiple regression analysis showed that the baseline protein intake at breakfast was negatively associated with the percent change in the WLTM (β = –1.598; P = 0.022). Additionally, the percent change (β = 0.624; P = 0.018) in protein intake at breakfast was positively associated with the percent change in WLTM.
Increasing protein intake at breakfast may contribute to RET-induced muscle hypertrophy in middle-aged women, especially among those who habitually consume low-protein levels at breakfast. However, future studies with larger sample sizes are required to confirm the importance of protein intake at breakfast. |
doi_str_mv | 10.1016/j.nut.2022.111607 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2635239317</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S089990072200020X</els_id><sourcerecordid>2635239317</sourcerecordid><originalsourceid>FETCH-LOGICAL-c447t-459df02196acaf3425be3ebe927ae4f0ec9f871d9ea872debe8867f2d9e587833</originalsourceid><addsrcrecordid>eNp9kc2KFDEUhYM4OO3oA7iRgBs31ZOkUpVEV8PgHwwIouuQTm5Np61KyiQ1Q4OLeQff0CcxTY-zcOHqQu53DjfnIPSCkjUltD_frcNS1owwtqaU9kQ8QisqRdtQxvljtCJSqUYRIk7R05x3hBCqevUEnbYda6nsuhX6-QVGU3wMeetnvIFyCxDwnGIBH7APxXwHbILDCbLPxQQLuCTjgw_Xv-9--eAWCw5PS7Yj4O1-hlRSnLf7qsWTd26ExlxX4jZOEN7gCzz7MRacy-L2z9DJYMYMz-_nGfr2_t3Xy4_N1ecPny4vrhrLuSgN75QbCKu3G2uGlrNuAy1sQDFhgA8ErBqkoE6BkYK5upGyFwOrD50Usm3P0Oujb_3XjwVy0ZPPFsbRBIhL1qw_BKJaKir66h90F5cU6nWV4pISTvjBkB4pm2LOCQY9Jz-ZtNeU6EM1eqdrNfpQjT5WUzUv752XzQTuQfG3iwq8PQJQo7jxkHS2HmrgziewRbvo_2P_B2HBogU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2648104043</pqid></control><display><type>article</type><title>Relationship between protein intake and resistance training–induced muscle hypertrophy in middle-aged women: A pilot study</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Yasuda, Jun ; Murata, Kao ; Hasegawa, Tsubasa ; Yamamura, Mana ; Maeo, Sumiaki ; Takegaki, Junya ; Tottori, Nobuaki ; Yokokawa, Takumi ; Mori, Risako ; Arimitsu, Takuma ; Nishikori, Shu ; Fujita, Satoshi</creator><creatorcontrib>Yasuda, Jun ; Murata, Kao ; Hasegawa, Tsubasa ; Yamamura, Mana ; Maeo, Sumiaki ; Takegaki, Junya ; Tottori, Nobuaki ; Yokokawa, Takumi ; Mori, Risako ; Arimitsu, Takuma ; Nishikori, Shu ; Fujita, Satoshi</creatorcontrib><description>•A 16-wk resistance exercise training program caused 1.5% muscle hypertrophy (MH).•Daily total protein intake throughout the intervention was not associated with MH.•Protein intake at baseline during breakfast was negatively associated with MH.•Increased protein intake at breakfast during resistance exercise training was positively associated with MH.
The aim of this study was to observe the relationship of protein intake at each meal and daily total with change in lean tissue mass with progressive resistance exercise training (RET) in healthy middle-aged women.
Twenty-two healthy Japanese women were recruited from Shiga Prefecture, Japan, and a supervised whole body RET program was conducted twice a week for 16 wk. The dietary intake was assessed using 3-d dietary records. Dual-energy x-ray absorptiometry was used to measure the whole body lean soft tissue mass (WLTM). Multiple regression analysis was performed to examine the relationship between the protein intake and RET-induced changes in the WLTM after adjusting for age, sleep quality, physical activity, and energy intake.
The 16-wk RET program caused a significant gain in the WLTM (1.46 ± 0.45%, P = 0.004). Multiple regression analysis showed that the baseline protein intake at breakfast was negatively associated with the percent change in the WLTM (β = –1.598; P = 0.022). Additionally, the percent change (β = 0.624; P = 0.018) in protein intake at breakfast was positively associated with the percent change in WLTM.
Increasing protein intake at breakfast may contribute to RET-induced muscle hypertrophy in middle-aged women, especially among those who habitually consume low-protein levels at breakfast. However, future studies with larger sample sizes are required to confirm the importance of protein intake at breakfast.</description><identifier>ISSN: 0899-9007</identifier><identifier>EISSN: 1873-1244</identifier><identifier>DOI: 10.1016/j.nut.2022.111607</identifier><identifier>PMID: 35231855</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Body Composition ; Breakfast ; Diet ; Dietary intake ; Dietary Proteins - metabolism ; Dual energy X-ray absorptiometry ; Energy intake ; Exercise ; Female ; Food intake ; Humans ; Hypertrophy ; Hypertrophy - metabolism ; Intervention ; Meals ; Middle age ; Middle Aged ; Multiple regression analysis ; Muscle accretion ; Muscle Strength ; Muscle, Skeletal - metabolism ; Muscles ; Physical activity ; Physical fitness ; Physical training ; Pilot Projects ; Protein distribution ; Protein habituation ; Proteins ; Questionnaires ; Regression ; Resistance training ; Resistance Training - adverse effects ; Sleep ; Soft tissues ; Sports medicine ; Strength training ; Training ; Weight control</subject><ispartof>Nutrition (Burbank, Los Angeles County, Calif.), 2022-05, Vol.97, p.111607-111607, Article 111607</ispartof><rights>2022 Elsevier Inc.</rights><rights>Copyright © 2022 Elsevier Inc. All rights reserved.</rights><rights>2022. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c447t-459df02196acaf3425be3ebe927ae4f0ec9f871d9ea872debe8867f2d9e587833</citedby><cites>FETCH-LOGICAL-c447t-459df02196acaf3425be3ebe927ae4f0ec9f871d9ea872debe8867f2d9e587833</cites><orcidid>0000-0001-5735-5601 ; 0000-0002-2297-1647 ; 0000-0002-4023-646X ; 0000-0003-0919-4799 ; 0000-0002-3398-5833 ; 0000-0002-3813-4958 ; 0000-0003-4095-8857</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S089990072200020X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35231855$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yasuda, Jun</creatorcontrib><creatorcontrib>Murata, Kao</creatorcontrib><creatorcontrib>Hasegawa, Tsubasa</creatorcontrib><creatorcontrib>Yamamura, Mana</creatorcontrib><creatorcontrib>Maeo, Sumiaki</creatorcontrib><creatorcontrib>Takegaki, Junya</creatorcontrib><creatorcontrib>Tottori, Nobuaki</creatorcontrib><creatorcontrib>Yokokawa, Takumi</creatorcontrib><creatorcontrib>Mori, Risako</creatorcontrib><creatorcontrib>Arimitsu, Takuma</creatorcontrib><creatorcontrib>Nishikori, Shu</creatorcontrib><creatorcontrib>Fujita, Satoshi</creatorcontrib><title>Relationship between protein intake and resistance training–induced muscle hypertrophy in middle-aged women: A pilot study</title><title>Nutrition (Burbank, Los Angeles County, Calif.)</title><addtitle>Nutrition</addtitle><description>•A 16-wk resistance exercise training program caused 1.5% muscle hypertrophy (MH).•Daily total protein intake throughout the intervention was not associated with MH.•Protein intake at baseline during breakfast was negatively associated with MH.•Increased protein intake at breakfast during resistance exercise training was positively associated with MH.
The aim of this study was to observe the relationship of protein intake at each meal and daily total with change in lean tissue mass with progressive resistance exercise training (RET) in healthy middle-aged women.
Twenty-two healthy Japanese women were recruited from Shiga Prefecture, Japan, and a supervised whole body RET program was conducted twice a week for 16 wk. The dietary intake was assessed using 3-d dietary records. Dual-energy x-ray absorptiometry was used to measure the whole body lean soft tissue mass (WLTM). Multiple regression analysis was performed to examine the relationship between the protein intake and RET-induced changes in the WLTM after adjusting for age, sleep quality, physical activity, and energy intake.
The 16-wk RET program caused a significant gain in the WLTM (1.46 ± 0.45%, P = 0.004). Multiple regression analysis showed that the baseline protein intake at breakfast was negatively associated with the percent change in the WLTM (β = –1.598; P = 0.022). Additionally, the percent change (β = 0.624; P = 0.018) in protein intake at breakfast was positively associated with the percent change in WLTM.
Increasing protein intake at breakfast may contribute to RET-induced muscle hypertrophy in middle-aged women, especially among those who habitually consume low-protein levels at breakfast. However, future studies with larger sample sizes are required to confirm the importance of protein intake at breakfast.</description><subject>Body Composition</subject><subject>Breakfast</subject><subject>Diet</subject><subject>Dietary intake</subject><subject>Dietary Proteins - metabolism</subject><subject>Dual energy X-ray absorptiometry</subject><subject>Energy intake</subject><subject>Exercise</subject><subject>Female</subject><subject>Food intake</subject><subject>Humans</subject><subject>Hypertrophy</subject><subject>Hypertrophy - metabolism</subject><subject>Intervention</subject><subject>Meals</subject><subject>Middle age</subject><subject>Middle Aged</subject><subject>Multiple regression analysis</subject><subject>Muscle accretion</subject><subject>Muscle Strength</subject><subject>Muscle, Skeletal - metabolism</subject><subject>Muscles</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Physical training</subject><subject>Pilot Projects</subject><subject>Protein distribution</subject><subject>Protein habituation</subject><subject>Proteins</subject><subject>Questionnaires</subject><subject>Regression</subject><subject>Resistance training</subject><subject>Resistance Training - adverse effects</subject><subject>Sleep</subject><subject>Soft tissues</subject><subject>Sports medicine</subject><subject>Strength training</subject><subject>Training</subject><subject>Weight control</subject><issn>0899-9007</issn><issn>1873-1244</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kc2KFDEUhYM4OO3oA7iRgBs31ZOkUpVEV8PgHwwIouuQTm5Np61KyiQ1Q4OLeQff0CcxTY-zcOHqQu53DjfnIPSCkjUltD_frcNS1owwtqaU9kQ8QisqRdtQxvljtCJSqUYRIk7R05x3hBCqevUEnbYda6nsuhX6-QVGU3wMeetnvIFyCxDwnGIBH7APxXwHbILDCbLPxQQLuCTjgw_Xv-9--eAWCw5PS7Yj4O1-hlRSnLf7qsWTd26ExlxX4jZOEN7gCzz7MRacy-L2z9DJYMYMz-_nGfr2_t3Xy4_N1ecPny4vrhrLuSgN75QbCKu3G2uGlrNuAy1sQDFhgA8ErBqkoE6BkYK5upGyFwOrD50Usm3P0Oujb_3XjwVy0ZPPFsbRBIhL1qw_BKJaKir66h90F5cU6nWV4pISTvjBkB4pm2LOCQY9Jz-ZtNeU6EM1eqdrNfpQjT5WUzUv752XzQTuQfG3iwq8PQJQo7jxkHS2HmrgziewRbvo_2P_B2HBogU</recordid><startdate>202205</startdate><enddate>202205</enddate><creator>Yasuda, Jun</creator><creator>Murata, Kao</creator><creator>Hasegawa, Tsubasa</creator><creator>Yamamura, Mana</creator><creator>Maeo, Sumiaki</creator><creator>Takegaki, Junya</creator><creator>Tottori, Nobuaki</creator><creator>Yokokawa, Takumi</creator><creator>Mori, Risako</creator><creator>Arimitsu, Takuma</creator><creator>Nishikori, Shu</creator><creator>Fujita, Satoshi</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RQ</scope><scope>7RV</scope><scope>7TS</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K6X</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5735-5601</orcidid><orcidid>https://orcid.org/0000-0002-2297-1647</orcidid><orcidid>https://orcid.org/0000-0002-4023-646X</orcidid><orcidid>https://orcid.org/0000-0003-0919-4799</orcidid><orcidid>https://orcid.org/0000-0002-3398-5833</orcidid><orcidid>https://orcid.org/0000-0002-3813-4958</orcidid><orcidid>https://orcid.org/0000-0003-4095-8857</orcidid></search><sort><creationdate>202205</creationdate><title>Relationship between protein intake and resistance training–induced muscle hypertrophy in middle-aged women: A pilot study</title><author>Yasuda, Jun ; Murata, Kao ; Hasegawa, Tsubasa ; Yamamura, Mana ; Maeo, Sumiaki ; Takegaki, Junya ; Tottori, Nobuaki ; Yokokawa, Takumi ; Mori, Risako ; Arimitsu, Takuma ; Nishikori, Shu ; Fujita, Satoshi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-459df02196acaf3425be3ebe927ae4f0ec9f871d9ea872debe8867f2d9e587833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Body Composition</topic><topic>Breakfast</topic><topic>Diet</topic><topic>Dietary intake</topic><topic>Dietary Proteins - metabolism</topic><topic>Dual energy X-ray absorptiometry</topic><topic>Energy intake</topic><topic>Exercise</topic><topic>Female</topic><topic>Food intake</topic><topic>Humans</topic><topic>Hypertrophy</topic><topic>Hypertrophy - metabolism</topic><topic>Intervention</topic><topic>Meals</topic><topic>Middle age</topic><topic>Middle Aged</topic><topic>Multiple regression analysis</topic><topic>Muscle accretion</topic><topic>Muscle Strength</topic><topic>Muscle, Skeletal - metabolism</topic><topic>Muscles</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Physical training</topic><topic>Pilot Projects</topic><topic>Protein distribution</topic><topic>Protein habituation</topic><topic>Proteins</topic><topic>Questionnaires</topic><topic>Regression</topic><topic>Resistance training</topic><topic>Resistance Training - adverse effects</topic><topic>Sleep</topic><topic>Soft tissues</topic><topic>Sports medicine</topic><topic>Strength training</topic><topic>Training</topic><topic>Weight control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yasuda, Jun</creatorcontrib><creatorcontrib>Murata, Kao</creatorcontrib><creatorcontrib>Hasegawa, Tsubasa</creatorcontrib><creatorcontrib>Yamamura, Mana</creatorcontrib><creatorcontrib>Maeo, Sumiaki</creatorcontrib><creatorcontrib>Takegaki, Junya</creatorcontrib><creatorcontrib>Tottori, Nobuaki</creatorcontrib><creatorcontrib>Yokokawa, Takumi</creatorcontrib><creatorcontrib>Mori, Risako</creatorcontrib><creatorcontrib>Arimitsu, Takuma</creatorcontrib><creatorcontrib>Nishikori, Shu</creatorcontrib><creatorcontrib>Fujita, Satoshi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Nutrition (Burbank, Los Angeles County, Calif.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yasuda, Jun</au><au>Murata, Kao</au><au>Hasegawa, Tsubasa</au><au>Yamamura, Mana</au><au>Maeo, Sumiaki</au><au>Takegaki, Junya</au><au>Tottori, Nobuaki</au><au>Yokokawa, Takumi</au><au>Mori, Risako</au><au>Arimitsu, Takuma</au><au>Nishikori, Shu</au><au>Fujita, Satoshi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship between protein intake and resistance training–induced muscle hypertrophy in middle-aged women: A pilot study</atitle><jtitle>Nutrition (Burbank, Los Angeles County, Calif.)</jtitle><addtitle>Nutrition</addtitle><date>2022-05</date><risdate>2022</risdate><volume>97</volume><spage>111607</spage><epage>111607</epage><pages>111607-111607</pages><artnum>111607</artnum><issn>0899-9007</issn><eissn>1873-1244</eissn><abstract>•A 16-wk resistance exercise training program caused 1.5% muscle hypertrophy (MH).•Daily total protein intake throughout the intervention was not associated with MH.•Protein intake at baseline during breakfast was negatively associated with MH.•Increased protein intake at breakfast during resistance exercise training was positively associated with MH.
The aim of this study was to observe the relationship of protein intake at each meal and daily total with change in lean tissue mass with progressive resistance exercise training (RET) in healthy middle-aged women.
Twenty-two healthy Japanese women were recruited from Shiga Prefecture, Japan, and a supervised whole body RET program was conducted twice a week for 16 wk. The dietary intake was assessed using 3-d dietary records. Dual-energy x-ray absorptiometry was used to measure the whole body lean soft tissue mass (WLTM). Multiple regression analysis was performed to examine the relationship between the protein intake and RET-induced changes in the WLTM after adjusting for age, sleep quality, physical activity, and energy intake.
The 16-wk RET program caused a significant gain in the WLTM (1.46 ± 0.45%, P = 0.004). Multiple regression analysis showed that the baseline protein intake at breakfast was negatively associated with the percent change in the WLTM (β = –1.598; P = 0.022). Additionally, the percent change (β = 0.624; P = 0.018) in protein intake at breakfast was positively associated with the percent change in WLTM.
Increasing protein intake at breakfast may contribute to RET-induced muscle hypertrophy in middle-aged women, especially among those who habitually consume low-protein levels at breakfast. However, future studies with larger sample sizes are required to confirm the importance of protein intake at breakfast.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>35231855</pmid><doi>10.1016/j.nut.2022.111607</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-5735-5601</orcidid><orcidid>https://orcid.org/0000-0002-2297-1647</orcidid><orcidid>https://orcid.org/0000-0002-4023-646X</orcidid><orcidid>https://orcid.org/0000-0003-0919-4799</orcidid><orcidid>https://orcid.org/0000-0002-3398-5833</orcidid><orcidid>https://orcid.org/0000-0002-3813-4958</orcidid><orcidid>https://orcid.org/0000-0003-4095-8857</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0899-9007 |
ispartof | Nutrition (Burbank, Los Angeles County, Calif.), 2022-05, Vol.97, p.111607-111607, Article 111607 |
issn | 0899-9007 1873-1244 |
language | eng |
recordid | cdi_proquest_miscellaneous_2635239317 |
source | MEDLINE; Elsevier ScienceDirect Journals |
subjects | Body Composition Breakfast Diet Dietary intake Dietary Proteins - metabolism Dual energy X-ray absorptiometry Energy intake Exercise Female Food intake Humans Hypertrophy Hypertrophy - metabolism Intervention Meals Middle age Middle Aged Multiple regression analysis Muscle accretion Muscle Strength Muscle, Skeletal - metabolism Muscles Physical activity Physical fitness Physical training Pilot Projects Protein distribution Protein habituation Proteins Questionnaires Regression Resistance training Resistance Training - adverse effects Sleep Soft tissues Sports medicine Strength training Training Weight control |
title | Relationship between protein intake and resistance training–induced muscle hypertrophy in middle-aged women: A pilot study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T02%3A53%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Relationship%20between%20protein%20intake%20and%20resistance%20training%E2%80%93induced%20muscle%20hypertrophy%20in%20middle-aged%20women:%20A%20pilot%20study&rft.jtitle=Nutrition%20(Burbank,%20Los%20Angeles%20County,%20Calif.)&rft.au=Yasuda,%20Jun&rft.date=2022-05&rft.volume=97&rft.spage=111607&rft.epage=111607&rft.pages=111607-111607&rft.artnum=111607&rft.issn=0899-9007&rft.eissn=1873-1244&rft_id=info:doi/10.1016/j.nut.2022.111607&rft_dat=%3Cproquest_cross%3E2635239317%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2648104043&rft_id=info:pmid/35231855&rft_els_id=S089990072200020X&rfr_iscdi=true |