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Modelling the compensatory and carry-over effects between physical activity and fruit-vegetable consumption in young adults
Physical activity (PA) and fruit and vegetable consumption (FVC) are crucial factors jointly affecting young adults’ physical and mental health. However, the psychosocial interactive mechanisms of these behaviors remain understudied. Using a two-wave prospective design over two months, this study in...
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| Published in: | Scientific reports 2024-12, Vol.14 (1), p.30851-10, Article 30851 |
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| description | Physical activity (PA) and fruit and vegetable consumption (FVC) are crucial factors jointly affecting young adults’ physical and mental health. However, the psychosocial interactive mechanisms of these behaviors remain understudied. Using a two-wave prospective design over two months, this study investigated the psychological mechanisms underlying multiple health behavior change (MHBC) through a novel two-layer social-cognitive framework, the Compensatory Carry-Over Action Model (CCAM), among 322 Chinese college students (19.47 ± 0.99 years; 55.6% female). Structural equation modeling with path analysis was conducted using Mplus 8.8 for data analysis. Results indicated an acceptable model fit for the hypothesized model, with
χ
2
= 120.845,
df
= 41,
χ
2
/
df
= 2.947,
CFI
= 0.940,
TLI
= 0.901,
RMSEA
= 0.078 [90% CI = 0.062 to 0.094], and
SRMR
= 0.079. The model explained 54.9% and 50.0% of the variance in PA and FVC, respectively. In the first layer, focusing on the individual behavior change process, both volitional self-efficacy and planning were identified as significant mediators in the intention-behavior relationship for PA and FVC (indirect effects = 0.03 to 0.14, all
p
.05). However, volitional self-efficacy and planning played a significant mediating role in the interaction between PA/FVC intention and FVC/PA behavior (indirect effects = 0.01 to 0.04, all
p
|
| doi_str_mv | 10.1038/s41598-024-81585-7 |
| format | article |
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χ
2
= 120.845,
df
= 41,
χ
2
/
df
= 2.947,
CFI
= 0.940,
TLI
= 0.901,
RMSEA
= 0.078 [90% CI = 0.062 to 0.094], and
SRMR
= 0.079. The model explained 54.9% and 50.0% of the variance in PA and FVC, respectively. In the first layer, focusing on the individual behavior change process, both volitional self-efficacy and planning were identified as significant mediators in the intention-behavior relationship for PA and FVC (indirect effects = 0.03 to 0.14, all
p
< .01). In the second layer, targeting the interaction between the two behaviors, the mediating role of compensatory cognition (e.g., PA/FVC can compensate for FVC/PA) in the relationship between intention and behavior was not supported (all
p
> .05). However, volitional self-efficacy and planning played a significant mediating role in the interaction between PA/FVC intention and FVC/PA behavior (indirect effects = 0.01 to 0.04, all
p
< .05). Future interventions aiming at promoting MHBC should address compensatory cognition and the carry-over effects between diverse behaviors.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-024-81585-7</identifier><identifier>PMID: 39730685</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/477 ; 692/499 ; 692/700 ; Adolescent ; Adult ; Behavior ; Carry-over mechanism ; Compensatory cognition ; Dietary behavior ; Exercise ; Exercise - physiology ; Exercise - psychology ; Feeding Behavior - physiology ; Feeding Behavior - psychology ; Female ; Fruit ; Fruits ; Health Behavior ; Humanities and Social Sciences ; Humans ; Male ; multidisciplinary ; Multiple health behavior change ; Physical activity ; Prospective Studies ; Science ; Science (multidisciplinary) ; Self Efficacy ; Social behavior ; Social interactions ; Social-cognitive determinant ; Students - psychology ; Vegetables ; Young Adult ; Young adults</subject><ispartof>Scientific reports, 2024-12, Vol.14 (1), p.30851-10, Article 30851</ispartof><rights>The Author(s) 2024</rights><rights>2024. The Author(s).</rights><rights>Copyright Nature Publishing Group 2024</rights><rights>The Author(s) 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c422t-a8b23c30de1035bc5e4820d662283b5394bb0c3e06a4664362c99f517b3433213</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3149655117/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3149655117?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,38493,43871,44566,53766,53768,74155,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39730685$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Duan, Yanping</creatorcontrib><creatorcontrib>Liang, Wei</creatorcontrib><creatorcontrib>Wang, Yanping</creatorcontrib><creatorcontrib>Hu, Chun</creatorcontrib><creatorcontrib>Lippke, Sonia</creatorcontrib><title>Modelling the compensatory and carry-over effects between physical activity and fruit-vegetable consumption in young adults</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Physical activity (PA) and fruit and vegetable consumption (FVC) are crucial factors jointly affecting young adults’ physical and mental health. However, the psychosocial interactive mechanisms of these behaviors remain understudied. Using a two-wave prospective design over two months, this study investigated the psychological mechanisms underlying multiple health behavior change (MHBC) through a novel two-layer social-cognitive framework, the Compensatory Carry-Over Action Model (CCAM), among 322 Chinese college students (19.47 ± 0.99 years; 55.6% female). Structural equation modeling with path analysis was conducted using Mplus 8.8 for data analysis. Results indicated an acceptable model fit for the hypothesized model, with
χ
2
= 120.845,
df
= 41,
χ
2
/
df
= 2.947,
CFI
= 0.940,
TLI
= 0.901,
RMSEA
= 0.078 [90% CI = 0.062 to 0.094], and
SRMR
= 0.079. The model explained 54.9% and 50.0% of the variance in PA and FVC, respectively. In the first layer, focusing on the individual behavior change process, both volitional self-efficacy and planning were identified as significant mediators in the intention-behavior relationship for PA and FVC (indirect effects = 0.03 to 0.14, all
p
< .01). In the second layer, targeting the interaction between the two behaviors, the mediating role of compensatory cognition (e.g., PA/FVC can compensate for FVC/PA) in the relationship between intention and behavior was not supported (all
p
> .05). However, volitional self-efficacy and planning played a significant mediating role in the interaction between PA/FVC intention and FVC/PA behavior (indirect effects = 0.01 to 0.04, all
p
< .05). Future interventions aiming at promoting MHBC should address compensatory cognition and the carry-over effects between diverse behaviors.</description><subject>631/477</subject><subject>692/499</subject><subject>692/700</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Behavior</subject><subject>Carry-over mechanism</subject><subject>Compensatory cognition</subject><subject>Dietary behavior</subject><subject>Exercise</subject><subject>Exercise - physiology</subject><subject>Exercise - psychology</subject><subject>Feeding Behavior - physiology</subject><subject>Feeding Behavior - psychology</subject><subject>Female</subject><subject>Fruit</subject><subject>Fruits</subject><subject>Health Behavior</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Male</subject><subject>multidisciplinary</subject><subject>Multiple health behavior change</subject><subject>Physical activity</subject><subject>Prospective Studies</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Self Efficacy</subject><subject>Social behavior</subject><subject>Social interactions</subject><subject>Social-cognitive determinant</subject><subject>Students - 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physiology</topic><topic>Exercise - psychology</topic><topic>Feeding Behavior - physiology</topic><topic>Feeding Behavior - psychology</topic><topic>Female</topic><topic>Fruit</topic><topic>Fruits</topic><topic>Health Behavior</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Male</topic><topic>multidisciplinary</topic><topic>Multiple health behavior change</topic><topic>Physical activity</topic><topic>Prospective Studies</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Self Efficacy</topic><topic>Social behavior</topic><topic>Social interactions</topic><topic>Social-cognitive determinant</topic><topic>Students - psychology</topic><topic>Vegetables</topic><topic>Young Adult</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duan, Yanping</creatorcontrib><creatorcontrib>Liang, Wei</creatorcontrib><creatorcontrib>Wang, Yanping</creatorcontrib><creatorcontrib>Hu, Chun</creatorcontrib><creatorcontrib>Lippke, Sonia</creatorcontrib><collection>SpringerOpen</collection><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>Health Medical collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</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>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</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 China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duan, Yanping</au><au>Liang, Wei</au><au>Wang, Yanping</au><au>Hu, Chun</au><au>Lippke, Sonia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling the compensatory and carry-over effects between physical activity and fruit-vegetable consumption in young adults</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2024-12-28</date><risdate>2024</risdate><volume>14</volume><issue>1</issue><spage>30851</spage><epage>10</epage><pages>30851-10</pages><artnum>30851</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Physical activity (PA) and fruit and vegetable consumption (FVC) are crucial factors jointly affecting young adults’ physical and mental health. However, the psychosocial interactive mechanisms of these behaviors remain understudied. Using a two-wave prospective design over two months, this study investigated the psychological mechanisms underlying multiple health behavior change (MHBC) through a novel two-layer social-cognitive framework, the Compensatory Carry-Over Action Model (CCAM), among 322 Chinese college students (19.47 ± 0.99 years; 55.6% female). Structural equation modeling with path analysis was conducted using Mplus 8.8 for data analysis. Results indicated an acceptable model fit for the hypothesized model, with
χ
2
= 120.845,
df
= 41,
χ
2
/
df
= 2.947,
CFI
= 0.940,
TLI
= 0.901,
RMSEA
= 0.078 [90% CI = 0.062 to 0.094], and
SRMR
= 0.079. The model explained 54.9% and 50.0% of the variance in PA and FVC, respectively. In the first layer, focusing on the individual behavior change process, both volitional self-efficacy and planning were identified as significant mediators in the intention-behavior relationship for PA and FVC (indirect effects = 0.03 to 0.14, all
p
< .01). In the second layer, targeting the interaction between the two behaviors, the mediating role of compensatory cognition (e.g., PA/FVC can compensate for FVC/PA) in the relationship between intention and behavior was not supported (all
p
> .05). However, volitional self-efficacy and planning played a significant mediating role in the interaction between PA/FVC intention and FVC/PA behavior (indirect effects = 0.01 to 0.04, all
p
< .05). Future interventions aiming at promoting MHBC should address compensatory cognition and the carry-over effects between diverse behaviors.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>39730685</pmid><doi>10.1038/s41598-024-81585-7</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central (Open access); Free Full-Text Journals in Chemistry; Coronavirus Research Database; Springer Nature - nature.com Journals - Fully Open Access |
| subjects | 631/477 692/499 692/700 Adolescent Adult Behavior Carry-over mechanism Compensatory cognition Dietary behavior Exercise Exercise - physiology Exercise - psychology Feeding Behavior - physiology Feeding Behavior - psychology Female Fruit Fruits Health Behavior Humanities and Social Sciences Humans Male multidisciplinary Multiple health behavior change Physical activity Prospective Studies Science Science (multidisciplinary) Self Efficacy Social behavior Social interactions Social-cognitive determinant Students - psychology Vegetables Young Adult Young adults |
| title | Modelling the compensatory and carry-over effects between physical activity and fruit-vegetable consumption in young adults |
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