Paths towards a healthier BMI among short and adequate sleepers: A pathway network analysis considering movement behaviors in low-income preschoolers
Short sleep duration has been seen as a predictor of higher body mass index (BMI) in youth. Sleep duration varies substantially along early childhood, and the paths towards a healthier BMI, considering the other movement behaviors (physical activity-PA and screen time) are unexplored in preschoolers...
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Veröffentlicht in: | American journal of human biology 2023-09, Vol.35 (9), p.e23915-e23915 |
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creator | de Souza, Alesandra Araújo Bandeira, Paulo Felipe Ribeiro Vale, Susana Maria Coelho Guimarães da Cunha, Glacithane Lins Mota, Jorge Augusto Pinto Silva de Lucena Martins, Clarice Maria |
description | Short sleep duration has been seen as a predictor of higher body mass index (BMI) in youth. Sleep duration varies substantially along early childhood, and the paths towards a healthier BMI, considering the other movement behaviors (physical activity-PA and screen time) are unexplored in preschoolers.
To construct a sleep-BMI model to capture the direct and indirect paths to intervening towards a healthier BMI, according to low-income preschoolers´ compliance with the other movement behaviors.
Two hundred and seventy two preschoolers (4.5 ± 0.0; 138 boys) participated in the study. Sleep and screen time (ST) were assessed in a face-to-face interview with primary caregivers. PA was assessed using accelerometer (wGT3X-BT). Preschoolers were categorized as compliant or not with sleep, screen time, total and moderate to vigorous PA recommendations. BMIz-score was calculated according to preschoolers´ sex and age. All the assessed variables, besides sex and age were included in a Network Pathway Analysis (NPA) according to age as nodes.
At 3 years old, a direct and negative path between sleep-BMIz score was observed. At four and 5 years old, this relationship became positive. Further, girls were more compliant with sleep, ST and total PA recommendations. Total PA (TPA) showed the highest expected influence value in the general, 3 and 4 years old NPA.
The NPA analysis showed different directions for the relationship between sleep and BMIz score, according to age. Intervention strategies to a healthier BMI among preschoolers compliant or not with sleep recommendations should focus in increasing TPA. |
doi_str_mv | 10.1002/ajhb.23915 |
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To construct a sleep-BMI model to capture the direct and indirect paths to intervening towards a healthier BMI, according to low-income preschoolers´ compliance with the other movement behaviors.
Two hundred and seventy two preschoolers (4.5 ± 0.0; 138 boys) participated in the study. Sleep and screen time (ST) were assessed in a face-to-face interview with primary caregivers. PA was assessed using accelerometer (wGT3X-BT). Preschoolers were categorized as compliant or not with sleep, screen time, total and moderate to vigorous PA recommendations. BMIz-score was calculated according to preschoolers´ sex and age. All the assessed variables, besides sex and age were included in a Network Pathway Analysis (NPA) according to age as nodes.
At 3 years old, a direct and negative path between sleep-BMIz score was observed. At four and 5 years old, this relationship became positive. Further, girls were more compliant with sleep, ST and total PA recommendations. Total PA (TPA) showed the highest expected influence value in the general, 3 and 4 years old NPA.
The NPA analysis showed different directions for the relationship between sleep and BMIz score, according to age. Intervention strategies to a healthier BMI among preschoolers compliant or not with sleep recommendations should focus in increasing TPA.</description><identifier>ISSN: 1042-0533</identifier><identifier>EISSN: 1520-6300</identifier><identifier>DOI: 10.1002/ajhb.23915</identifier><identifier>PMID: 37269167</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Accelerometers ; Age ; Body mass ; Body mass index ; Body size ; Children ; Income ; Network analysis ; Physical activity ; Preschool children ; Screen time ; Sex ; Sleep ; Youth</subject><ispartof>American journal of human biology, 2023-09, Vol.35 (9), p.e23915-e23915</ispartof><rights>2023 Wiley Periodicals LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c274t-9d144a4f46c2d2787363531aca7075ad054814203d127ef81800487f2a5a7633</cites><orcidid>0000-0001-8260-0189 ; 0000-0001-9708-1799 ; 0000-0003-0303-169X ; 0000-0002-1703-9361 ; 0000-0001-7571-9181 ; 0000-0002-4947-9329</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37269167$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>de Souza, Alesandra Araújo</creatorcontrib><creatorcontrib>Bandeira, Paulo Felipe Ribeiro</creatorcontrib><creatorcontrib>Vale, Susana Maria Coelho Guimarães</creatorcontrib><creatorcontrib>da Cunha, Glacithane Lins</creatorcontrib><creatorcontrib>Mota, Jorge Augusto Pinto Silva</creatorcontrib><creatorcontrib>de Lucena Martins, Clarice Maria</creatorcontrib><title>Paths towards a healthier BMI among short and adequate sleepers: A pathway network analysis considering movement behaviors in low-income preschoolers</title><title>American journal of human biology</title><addtitle>Am J Hum Biol</addtitle><description>Short sleep duration has been seen as a predictor of higher body mass index (BMI) in youth. Sleep duration varies substantially along early childhood, and the paths towards a healthier BMI, considering the other movement behaviors (physical activity-PA and screen time) are unexplored in preschoolers.
To construct a sleep-BMI model to capture the direct and indirect paths to intervening towards a healthier BMI, according to low-income preschoolers´ compliance with the other movement behaviors.
Two hundred and seventy two preschoolers (4.5 ± 0.0; 138 boys) participated in the study. Sleep and screen time (ST) were assessed in a face-to-face interview with primary caregivers. PA was assessed using accelerometer (wGT3X-BT). Preschoolers were categorized as compliant or not with sleep, screen time, total and moderate to vigorous PA recommendations. BMIz-score was calculated according to preschoolers´ sex and age. All the assessed variables, besides sex and age were included in a Network Pathway Analysis (NPA) according to age as nodes.
At 3 years old, a direct and negative path between sleep-BMIz score was observed. At four and 5 years old, this relationship became positive. Further, girls were more compliant with sleep, ST and total PA recommendations. Total PA (TPA) showed the highest expected influence value in the general, 3 and 4 years old NPA.
The NPA analysis showed different directions for the relationship between sleep and BMIz score, according to age. Intervention strategies to a healthier BMI among preschoolers compliant or not with sleep recommendations should focus in increasing TPA.</description><subject>Accelerometers</subject><subject>Age</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Children</subject><subject>Income</subject><subject>Network analysis</subject><subject>Physical activity</subject><subject>Preschool children</subject><subject>Screen time</subject><subject>Sex</subject><subject>Sleep</subject><subject>Youth</subject><issn>1042-0533</issn><issn>1520-6300</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpd0c1u1DAUhuEIgWgpbLgAZIkNQkrrv9gJu1IBrdQKFt1HZ-IT4iGJUx-no7kQ7hcPLV2wshePXunoK4q3gp8KzuUZbIfNqVSNqJ4Vx6KSvDSK8-f5z7UseaXUUfGKaMs5bwyvXxZHykrTCGOPi98_IA3EUthBdMSADQhjGjxG9vnmisEU5p-MhhATg9kxcHi3QkJGI-KCkT6xc7bkxA72bMa0C_FXhjDuyRPrwkzeYfS5MYV7nHBObIMD3PsQifmZjWFX-rkLE7IlInVDCGOuvi5e9DASvnl8T4rbr19uLy7L6-_fri7Or8tOWp3KxgmtQffadNJJW1tlVKUEdGC5rcDxStdCS66ckBb7WtSc69r2EiqwRqmT4sNDdonhbkVK7eSpw3GEGcNKraylVFY3tsn0_X90G9aYDz0oo4RprJFZfXxQXQxEEft2iX6CuG8Fbw9btYet2r9bZfzuMbluJnRP9N846g9TR5Bl</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>de Souza, Alesandra Araújo</creator><creator>Bandeira, Paulo Felipe Ribeiro</creator><creator>Vale, Susana Maria Coelho Guimarães</creator><creator>da Cunha, Glacithane Lins</creator><creator>Mota, Jorge Augusto Pinto Silva</creator><creator>de Lucena Martins, Clarice Maria</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7SN</scope><scope>7ST</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TS</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8260-0189</orcidid><orcidid>https://orcid.org/0000-0001-9708-1799</orcidid><orcidid>https://orcid.org/0000-0003-0303-169X</orcidid><orcidid>https://orcid.org/0000-0002-1703-9361</orcidid><orcidid>https://orcid.org/0000-0001-7571-9181</orcidid><orcidid>https://orcid.org/0000-0002-4947-9329</orcidid></search><sort><creationdate>20230901</creationdate><title>Paths towards a healthier BMI among short and adequate sleepers: A pathway network analysis considering movement behaviors in low-income preschoolers</title><author>de Souza, Alesandra Araújo ; Bandeira, Paulo Felipe Ribeiro ; Vale, Susana Maria Coelho Guimarães ; da Cunha, Glacithane Lins ; Mota, Jorge Augusto Pinto Silva ; de Lucena Martins, Clarice Maria</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c274t-9d144a4f46c2d2787363531aca7075ad054814203d127ef81800487f2a5a7633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Accelerometers</topic><topic>Age</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Children</topic><topic>Income</topic><topic>Network analysis</topic><topic>Physical activity</topic><topic>Preschool children</topic><topic>Screen time</topic><topic>Sex</topic><topic>Sleep</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Souza, Alesandra Araújo</creatorcontrib><creatorcontrib>Bandeira, Paulo Felipe Ribeiro</creatorcontrib><creatorcontrib>Vale, Susana Maria Coelho Guimarães</creatorcontrib><creatorcontrib>da Cunha, Glacithane Lins</creatorcontrib><creatorcontrib>Mota, Jorge Augusto Pinto Silva</creatorcontrib><creatorcontrib>de Lucena Martins, Clarice Maria</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Physical Education Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of human biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Souza, Alesandra Araújo</au><au>Bandeira, Paulo Felipe Ribeiro</au><au>Vale, Susana Maria Coelho Guimarães</au><au>da Cunha, Glacithane Lins</au><au>Mota, Jorge Augusto Pinto Silva</au><au>de Lucena Martins, Clarice Maria</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Paths towards a healthier BMI among short and adequate sleepers: A pathway network analysis considering movement behaviors in low-income preschoolers</atitle><jtitle>American journal of human biology</jtitle><addtitle>Am J Hum Biol</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>35</volume><issue>9</issue><spage>e23915</spage><epage>e23915</epage><pages>e23915-e23915</pages><issn>1042-0533</issn><eissn>1520-6300</eissn><abstract>Short sleep duration has been seen as a predictor of higher body mass index (BMI) in youth. Sleep duration varies substantially along early childhood, and the paths towards a healthier BMI, considering the other movement behaviors (physical activity-PA and screen time) are unexplored in preschoolers.
To construct a sleep-BMI model to capture the direct and indirect paths to intervening towards a healthier BMI, according to low-income preschoolers´ compliance with the other movement behaviors.
Two hundred and seventy two preschoolers (4.5 ± 0.0; 138 boys) participated in the study. Sleep and screen time (ST) were assessed in a face-to-face interview with primary caregivers. PA was assessed using accelerometer (wGT3X-BT). Preschoolers were categorized as compliant or not with sleep, screen time, total and moderate to vigorous PA recommendations. BMIz-score was calculated according to preschoolers´ sex and age. All the assessed variables, besides sex and age were included in a Network Pathway Analysis (NPA) according to age as nodes.
At 3 years old, a direct and negative path between sleep-BMIz score was observed. At four and 5 years old, this relationship became positive. Further, girls were more compliant with sleep, ST and total PA recommendations. Total PA (TPA) showed the highest expected influence value in the general, 3 and 4 years old NPA.
The NPA analysis showed different directions for the relationship between sleep and BMIz score, according to age. Intervention strategies to a healthier BMI among preschoolers compliant or not with sleep recommendations should focus in increasing TPA.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>37269167</pmid><doi>10.1002/ajhb.23915</doi><orcidid>https://orcid.org/0000-0001-8260-0189</orcidid><orcidid>https://orcid.org/0000-0001-9708-1799</orcidid><orcidid>https://orcid.org/0000-0003-0303-169X</orcidid><orcidid>https://orcid.org/0000-0002-1703-9361</orcidid><orcidid>https://orcid.org/0000-0001-7571-9181</orcidid><orcidid>https://orcid.org/0000-0002-4947-9329</orcidid></addata></record> |
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subjects | Accelerometers Age Body mass Body mass index Body size Children Income Network analysis Physical activity Preschool children Screen time Sex Sleep Youth |
title | Paths towards a healthier BMI among short and adequate sleepers: A pathway network analysis considering movement behaviors in low-income preschoolers |
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