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The association between diet quality and chrononutritional patterns in young adults
Purpose Young adults eat erratically and later in the day which may impact weight and cardiometabolic health. This cross-sectional study examined relationships between chrononutritional patterns and diet quality in two young adult populations: a university and community sample. Methods Three days of...
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| Published in: | European journal of nutrition 2024-06, Vol.63 (4), p.1271-1281 |
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| Main Authors: | , , , , , |
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| cites | cdi_FETCH-LOGICAL-c419t-aefdf294d2a05b0b438b637fd13dd8416ce11339cd4e644fba6bafa4a7737e863 |
| container_end_page | 1281 |
| container_issue | 4 |
| container_start_page | 1271 |
| container_title | European journal of nutrition |
| container_volume | 63 |
| creator | Wang, Leanne Chan, Virginia Allman-Farinelli, Margaret Davies, Alyse Wellard-Cole, Lyndal Rangan, Anna |
| description | Purpose
Young adults eat erratically and later in the day which may impact weight and cardiometabolic health. This cross-sectional study examined relationships between chrononutritional patterns and diet quality in two young adult populations: a university and community sample.
Methods
Three days of dietary data were collected including food images captured using wearable cameras. Chrononutritional variables were extracted: time of first and last eating occasions, caloric midpoint (time at which 50% of daily energy was consumed), number of eating occasions per day, eating window, day-to-day variability of the above metrics, and evening eating (≥20:00h). The Healthy Eating Index for Australian Adults scored diet quality. Statistical analyses controlled for gender, body mass index, and socio-economic status.
Results
No significant associations between chrononutritional patterns and diet quality were found for all participants (
n
= 95). However, differences in diet quality were found between university (
n
= 54) and community (
n
= 41) samples with average diet quality scores of 59.1 (SD 9.7) and 47.3 (SD 14.4), respectively. Of those who extended eating ≥20:00 h, university participants had better diet quality (62.9±SE 2.5 vs. 44.3±SE 2.3,
p
|
| doi_str_mv | 10.1007/s00394-024-03353-7 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2930472439</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2930472439</sourcerecordid><originalsourceid>FETCH-LOGICAL-c419t-aefdf294d2a05b0b438b637fd13dd8416ce11339cd4e644fba6bafa4a7737e863</originalsourceid><addsrcrecordid>eNp9kE1LBSEUhiWKvv9AixDatJlSj1dnlhF9QdCiWosznqmJuXpTh7j_Puv2AS1aiILP-x7OQ8gBZyecMX2aGINGVkyUAzCDSq-RbS5BVUrw2frPm-ktspPSC2NMgOKbZAtqqBWTfJvcPzwjtSmFbrB5CJ62mN8QPXUDZvo62XHIS2q9o91zDD74KcfhA7QjXdicMfpEB0-XYfJP1LppzGmPbPR2TLj_de-Sx8uLh_Pr6vbu6ub87LbqJG9yZbF3vWikE5bNWtZKqFsFunccnKslVx1yDtB0TqKSsm-tam1vpdUaNNYKdsnxqncRw-uEKZv5kDocR-sxTMmIBpjUQkJT0KM_6EuYYlkiGWBKiFoVHYUSK6qLIaWIvVnEYW7j0nBmPpSblXJTlJtP5UaX0OFX9dTO0f1Evh0XAFZAKl_-CePv7H9q3wH2E4zo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3062286604</pqid></control><display><type>article</type><title>The association between diet quality and chrononutritional patterns in young adults</title><source>Springer Link</source><creator>Wang, Leanne ; Chan, Virginia ; Allman-Farinelli, Margaret ; Davies, Alyse ; Wellard-Cole, Lyndal ; Rangan, Anna</creator><creatorcontrib>Wang, Leanne ; Chan, Virginia ; Allman-Farinelli, Margaret ; Davies, Alyse ; Wellard-Cole, Lyndal ; Rangan, Anna</creatorcontrib><description>Purpose
Young adults eat erratically and later in the day which may impact weight and cardiometabolic health. This cross-sectional study examined relationships between chrononutritional patterns and diet quality in two young adult populations: a university and community sample.
Methods
Three days of dietary data were collected including food images captured using wearable cameras. Chrononutritional variables were extracted: time of first and last eating occasions, caloric midpoint (time at which 50% of daily energy was consumed), number of eating occasions per day, eating window, day-to-day variability of the above metrics, and evening eating (≥20:00h). The Healthy Eating Index for Australian Adults scored diet quality. Statistical analyses controlled for gender, body mass index, and socio-economic status.
Results
No significant associations between chrononutritional patterns and diet quality were found for all participants (
n
= 95). However, differences in diet quality were found between university (
n
= 54) and community (
n
= 41) samples with average diet quality scores of 59.1 (SD 9.7) and 47.3 (SD 14.4), respectively. Of those who extended eating ≥20:00 h, university participants had better diet quality (62.9±SE 2.5 vs. 44.3±SE 2.3,
p
< 0.001) and discretionary scores (7.9±SE 0.9 vs. 1.6±SE 0.6,
p
< 0.001) than community participants. University participants consumed predominately healthful dinners and fruit ≥20:00h whereas community participants consumed predominately discretionary foods.
Conclusion
For the general young adult population, meal timing needs to be considered. Food choices made by this cohort may be poorer during evenings when the desire for energy-dense nutrient-poor foods is stronger. However, meal timing may be less relevant for young adults who already engage in healthy dietary patterns.</description><identifier>ISSN: 1436-6207</identifier><identifier>ISSN: 1436-6215</identifier><identifier>EISSN: 1436-6215</identifier><identifier>DOI: 10.1007/s00394-024-03353-7</identifier><identifier>PMID: 38386041</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Adult ; Australia ; Body Mass Index ; Chemistry ; Chemistry and Materials Science ; Circadian Rhythm - physiology ; Cross-Sectional Studies ; Diet ; Diet - methods ; Diet - standards ; Diet - statistics & numerical data ; Eating behavior ; Energy Intake ; Feeding Behavior ; Female ; Humans ; Male ; Meals ; Nutrition ; Original Contribution ; Statistical analysis ; Young Adult ; Young adults</subject><ispartof>European journal of nutrition, 2024-06, Vol.63 (4), p.1271-1281</ispartof><rights>The Author(s) 2024</rights><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-aefdf294d2a05b0b438b637fd13dd8416ce11339cd4e644fba6bafa4a7737e863</citedby><cites>FETCH-LOGICAL-c419t-aefdf294d2a05b0b438b637fd13dd8416ce11339cd4e644fba6bafa4a7737e863</cites><orcidid>0000-0002-6478-1374 ; 0000-0003-1514-2135 ; 0000-0003-1815-844X ; 0000-0002-8839-896X ; 0000-0001-8083-4897 ; 0000-0002-9448-7539</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38386041$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Leanne</creatorcontrib><creatorcontrib>Chan, Virginia</creatorcontrib><creatorcontrib>Allman-Farinelli, Margaret</creatorcontrib><creatorcontrib>Davies, Alyse</creatorcontrib><creatorcontrib>Wellard-Cole, Lyndal</creatorcontrib><creatorcontrib>Rangan, Anna</creatorcontrib><title>The association between diet quality and chrononutritional patterns in young adults</title><title>European journal of nutrition</title><addtitle>Eur J Nutr</addtitle><addtitle>Eur J Nutr</addtitle><description>Purpose
Young adults eat erratically and later in the day which may impact weight and cardiometabolic health. This cross-sectional study examined relationships between chrononutritional patterns and diet quality in two young adult populations: a university and community sample.
Methods
Three days of dietary data were collected including food images captured using wearable cameras. Chrononutritional variables were extracted: time of first and last eating occasions, caloric midpoint (time at which 50% of daily energy was consumed), number of eating occasions per day, eating window, day-to-day variability of the above metrics, and evening eating (≥20:00h). The Healthy Eating Index for Australian Adults scored diet quality. Statistical analyses controlled for gender, body mass index, and socio-economic status.
Results
No significant associations between chrononutritional patterns and diet quality were found for all participants (
n
= 95). However, differences in diet quality were found between university (
n
= 54) and community (
n
= 41) samples with average diet quality scores of 59.1 (SD 9.7) and 47.3 (SD 14.4), respectively. Of those who extended eating ≥20:00 h, university participants had better diet quality (62.9±SE 2.5 vs. 44.3±SE 2.3,
p
< 0.001) and discretionary scores (7.9±SE 0.9 vs. 1.6±SE 0.6,
p
< 0.001) than community participants. University participants consumed predominately healthful dinners and fruit ≥20:00h whereas community participants consumed predominately discretionary foods.
Conclusion
For the general young adult population, meal timing needs to be considered. Food choices made by this cohort may be poorer during evenings when the desire for energy-dense nutrient-poor foods is stronger. However, meal timing may be less relevant for young adults who already engage in healthy dietary patterns.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Australia</subject><subject>Body Mass Index</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Circadian Rhythm - physiology</subject><subject>Cross-Sectional Studies</subject><subject>Diet</subject><subject>Diet - methods</subject><subject>Diet - standards</subject><subject>Diet - statistics & numerical data</subject><subject>Eating behavior</subject><subject>Energy Intake</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Meals</subject><subject>Nutrition</subject><subject>Original Contribution</subject><subject>Statistical analysis</subject><subject>Young Adult</subject><subject>Young adults</subject><issn>1436-6207</issn><issn>1436-6215</issn><issn>1436-6215</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LBSEUhiWKvv9AixDatJlSj1dnlhF9QdCiWosznqmJuXpTh7j_Puv2AS1aiILP-x7OQ8gBZyecMX2aGINGVkyUAzCDSq-RbS5BVUrw2frPm-ktspPSC2NMgOKbZAtqqBWTfJvcPzwjtSmFbrB5CJ62mN8QPXUDZvo62XHIS2q9o91zDD74KcfhA7QjXdicMfpEB0-XYfJP1LppzGmPbPR2TLj_de-Sx8uLh_Pr6vbu6ub87LbqJG9yZbF3vWikE5bNWtZKqFsFunccnKslVx1yDtB0TqKSsm-tam1vpdUaNNYKdsnxqncRw-uEKZv5kDocR-sxTMmIBpjUQkJT0KM_6EuYYlkiGWBKiFoVHYUSK6qLIaWIvVnEYW7j0nBmPpSblXJTlJtP5UaX0OFX9dTO0f1Evh0XAFZAKl_-CePv7H9q3wH2E4zo</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Wang, Leanne</creator><creator>Chan, Virginia</creator><creator>Allman-Farinelli, Margaret</creator><creator>Davies, Alyse</creator><creator>Wellard-Cole, Lyndal</creator><creator>Rangan, Anna</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><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>7QP</scope><scope>7TS</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6478-1374</orcidid><orcidid>https://orcid.org/0000-0003-1514-2135</orcidid><orcidid>https://orcid.org/0000-0003-1815-844X</orcidid><orcidid>https://orcid.org/0000-0002-8839-896X</orcidid><orcidid>https://orcid.org/0000-0001-8083-4897</orcidid><orcidid>https://orcid.org/0000-0002-9448-7539</orcidid></search><sort><creationdate>20240601</creationdate><title>The association between diet quality and chrononutritional patterns in young adults</title><author>Wang, Leanne ; Chan, Virginia ; Allman-Farinelli, Margaret ; Davies, Alyse ; Wellard-Cole, Lyndal ; Rangan, Anna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-aefdf294d2a05b0b438b637fd13dd8416ce11339cd4e644fba6bafa4a7737e863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Australia</topic><topic>Body Mass Index</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Circadian Rhythm - physiology</topic><topic>Cross-Sectional Studies</topic><topic>Diet</topic><topic>Diet - methods</topic><topic>Diet - standards</topic><topic>Diet - statistics & numerical data</topic><topic>Eating behavior</topic><topic>Energy Intake</topic><topic>Feeding Behavior</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Meals</topic><topic>Nutrition</topic><topic>Original Contribution</topic><topic>Statistical analysis</topic><topic>Young Adult</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Leanne</creatorcontrib><creatorcontrib>Chan, Virginia</creatorcontrib><creatorcontrib>Allman-Farinelli, Margaret</creatorcontrib><creatorcontrib>Davies, Alyse</creatorcontrib><creatorcontrib>Wellard-Cole, Lyndal</creatorcontrib><creatorcontrib>Rangan, Anna</creatorcontrib><collection>SpringerOpen(OpenAccess)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Physical Education Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Leanne</au><au>Chan, Virginia</au><au>Allman-Farinelli, Margaret</au><au>Davies, Alyse</au><au>Wellard-Cole, Lyndal</au><au>Rangan, Anna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The association between diet quality and chrononutritional patterns in young adults</atitle><jtitle>European journal of nutrition</jtitle><stitle>Eur J Nutr</stitle><addtitle>Eur J Nutr</addtitle><date>2024-06-01</date><risdate>2024</risdate><volume>63</volume><issue>4</issue><spage>1271</spage><epage>1281</epage><pages>1271-1281</pages><issn>1436-6207</issn><issn>1436-6215</issn><eissn>1436-6215</eissn><abstract>Purpose
Young adults eat erratically and later in the day which may impact weight and cardiometabolic health. This cross-sectional study examined relationships between chrononutritional patterns and diet quality in two young adult populations: a university and community sample.
Methods
Three days of dietary data were collected including food images captured using wearable cameras. Chrononutritional variables were extracted: time of first and last eating occasions, caloric midpoint (time at which 50% of daily energy was consumed), number of eating occasions per day, eating window, day-to-day variability of the above metrics, and evening eating (≥20:00h). The Healthy Eating Index for Australian Adults scored diet quality. Statistical analyses controlled for gender, body mass index, and socio-economic status.
Results
No significant associations between chrononutritional patterns and diet quality were found for all participants (
n
= 95). However, differences in diet quality were found between university (
n
= 54) and community (
n
= 41) samples with average diet quality scores of 59.1 (SD 9.7) and 47.3 (SD 14.4), respectively. Of those who extended eating ≥20:00 h, university participants had better diet quality (62.9±SE 2.5 vs. 44.3±SE 2.3,
p
< 0.001) and discretionary scores (7.9±SE 0.9 vs. 1.6±SE 0.6,
p
< 0.001) than community participants. University participants consumed predominately healthful dinners and fruit ≥20:00h whereas community participants consumed predominately discretionary foods.
Conclusion
For the general young adult population, meal timing needs to be considered. Food choices made by this cohort may be poorer during evenings when the desire for energy-dense nutrient-poor foods is stronger. However, meal timing may be less relevant for young adults who already engage in healthy dietary patterns.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>38386041</pmid><doi>10.1007/s00394-024-03353-7</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-6478-1374</orcidid><orcidid>https://orcid.org/0000-0003-1514-2135</orcidid><orcidid>https://orcid.org/0000-0003-1815-844X</orcidid><orcidid>https://orcid.org/0000-0002-8839-896X</orcidid><orcidid>https://orcid.org/0000-0001-8083-4897</orcidid><orcidid>https://orcid.org/0000-0002-9448-7539</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | European journal of nutrition, 2024-06, Vol.63 (4), p.1271-1281 |
| issn | 1436-6207 1436-6215 1436-6215 |
| language | eng |
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| source | Springer Link |
| subjects | Adolescent Adult Australia Body Mass Index Chemistry Chemistry and Materials Science Circadian Rhythm - physiology Cross-Sectional Studies Diet Diet - methods Diet - standards Diet - statistics & numerical data Eating behavior Energy Intake Feeding Behavior Female Humans Male Meals Nutrition Original Contribution Statistical analysis Young Adult Young adults |
| title | The association between diet quality and chrononutritional patterns in young adults |
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