Temporal eating patterns: a latent class analysis approach
There is some evidence that large energy intakes towards the end of the day are associated with adverse health outcomes, however, studies of temporal eating patterns across the day are rare. This study examines the temporal eating patterns of Australian adults using latent class analysis (LCA), as a...
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| description | There is some evidence that large energy intakes towards the end of the day are associated with adverse health outcomes, however, studies of temporal eating patterns across the day are rare. This study examines the temporal eating patterns of Australian adults using latent class analysis (LCA), as a novel approach.
Dietary data (n = 2402 men and n = 2840 women, ≥19 years) from two 24-h recalls collected during the 2011-12 Australian National Nutrition and Physical Activity Survey were analyzed. LCA was performed to identify distinct temporal eating patterns based on whether or not an eating occasion (EO) occurred within each hour of the day. F and adjusted-chi
tests assessed differences in sociodemographic and eating patterns (e.g., meal, snack and EO frequency) between latent classes.
Three patterns, labelled "Conventional" (men: 43%, women: 41%), "Later lunch" (men: 34%, women: 34%) and "Grazing" (men: 23%, women: 25%) were identified. Men and women with a "Grazing" pattern were significantly younger (P |
| doi_str_mv | 10.1186/s12966-016-0459-6 |
| format | Article |
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Dietary data (n = 2402 men and n = 2840 women, ≥19 years) from two 24-h recalls collected during the 2011-12 Australian National Nutrition and Physical Activity Survey were analyzed. LCA was performed to identify distinct temporal eating patterns based on whether or not an eating occasion (EO) occurred within each hour of the day. F and adjusted-chi
tests assessed differences in sociodemographic and eating patterns (e.g., meal, snack and EO frequency) between latent classes.
Three patterns, labelled "Conventional" (men: 43%, women: 41%), "Later lunch" (men: 34%, women: 34%) and "Grazing" (men: 23%, women: 25%) were identified. Men and women with a "Grazing" pattern were significantly younger (P < 0.001) and a higher proportion were from major cities (P < 0.01) and were not married (men only, P = 0.01), compared to the "Conventional" and "Later lunch" patterns. The "Grazing" pattern was also characterized by a higher EO frequency (P < 0.01) and snack frequency (P < 0.001) and consumption of a higher proportion of total energy intake from snacks but a lower proportion of total energy intake from meals (P < 0.001).
This study identified three distinct temporal eating patterns in adults that varied by age, EO frequency, snack frequency and energy intake pattern. LCA is a useful approach to capture differences in EO timing across the day. Future research should examine associations between temporal eating patterns and health.</description><identifier>ISSN: 1479-5868</identifier><identifier>EISSN: 1479-5868</identifier><identifier>DOI: 10.1186/s12966-016-0459-6</identifier><identifier>PMID: 28061795</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; adults ; Aged ; Analysis ; Australia ; cities ; Country of birth ; Cross-Sectional Studies ; Diet ; Eating ; Eating behavior ; eating habits ; Energy ; Energy Intake ; Exercise ; Feeding Behavior ; Female ; Food ; Food habits ; Health aspects ; Health surveys ; Households ; Humans ; ingestion ; Latent class analysis ; Lunch ; Male ; Marital status ; Meals ; men ; Mental Recall ; Middle Aged ; Nutrition ; Observational studies ; physical activity ; Physical fitness ; Snacks ; Sociodemographics ; Surveys ; Tea ; Type 2 diabetes ; women</subject><ispartof>The international journal of behavioral nutrition and physical activity, 2017-01, Vol.14 (1), p.3-3, Article 3</ispartof><rights>COPYRIGHT 2017 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2017</rights><rights>The Author(s). 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c627t-a77464a94f0229879bd9d741ad083d08126e596c85ba333fbf51df4f3e2ee5e33</citedby><cites>FETCH-LOGICAL-c627t-a77464a94f0229879bd9d741ad083d08126e596c85ba333fbf51df4f3e2ee5e33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5219683/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5219683/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28061795$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Leech, Rebecca M</creatorcontrib><creatorcontrib>Worsley, Anthony</creatorcontrib><creatorcontrib>Timperio, Anna</creatorcontrib><creatorcontrib>McNaughton, Sarah A</creatorcontrib><title>Temporal eating patterns: a latent class analysis approach</title><title>The international journal of behavioral nutrition and physical activity</title><addtitle>Int J Behav Nutr Phys Act</addtitle><description>There is some evidence that large energy intakes towards the end of the day are associated with adverse health outcomes, however, studies of temporal eating patterns across the day are rare. This study examines the temporal eating patterns of Australian adults using latent class analysis (LCA), as a novel approach.
Dietary data (n = 2402 men and n = 2840 women, ≥19 years) from two 24-h recalls collected during the 2011-12 Australian National Nutrition and Physical Activity Survey were analyzed. LCA was performed to identify distinct temporal eating patterns based on whether or not an eating occasion (EO) occurred within each hour of the day. F and adjusted-chi
tests assessed differences in sociodemographic and eating patterns (e.g., meal, snack and EO frequency) between latent classes.
Three patterns, labelled "Conventional" (men: 43%, women: 41%), "Later lunch" (men: 34%, women: 34%) and "Grazing" (men: 23%, women: 25%) were identified. Men and women with a "Grazing" pattern were significantly younger (P < 0.001) and a higher proportion were from major cities (P < 0.01) and were not married (men only, P = 0.01), compared to the "Conventional" and "Later lunch" patterns. The "Grazing" pattern was also characterized by a higher EO frequency (P < 0.01) and snack frequency (P < 0.001) and consumption of a higher proportion of total energy intake from snacks but a lower proportion of total energy intake from meals (P < 0.001).
This study identified three distinct temporal eating patterns in adults that varied by age, EO frequency, snack frequency and energy intake pattern. LCA is a useful approach to capture differences in EO timing across the day. Future research should examine associations between temporal eating patterns and health.</description><subject>Adult</subject><subject>adults</subject><subject>Aged</subject><subject>Analysis</subject><subject>Australia</subject><subject>cities</subject><subject>Country of birth</subject><subject>Cross-Sectional Studies</subject><subject>Diet</subject><subject>Eating</subject><subject>Eating behavior</subject><subject>eating habits</subject><subject>Energy</subject><subject>Energy Intake</subject><subject>Exercise</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Food</subject><subject>Food habits</subject><subject>Health aspects</subject><subject>Health surveys</subject><subject>Households</subject><subject>Humans</subject><subject>ingestion</subject><subject>Latent class analysis</subject><subject>Lunch</subject><subject>Male</subject><subject>Marital status</subject><subject>Meals</subject><subject>men</subject><subject>Mental Recall</subject><subject>Middle Aged</subject><subject>Nutrition</subject><subject>Observational studies</subject><subject>physical activity</subject><subject>Physical fitness</subject><subject>Snacks</subject><subject>Sociodemographics</subject><subject>Surveys</subject><subject>Tea</subject><subject>Type 2 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Act</addtitle><date>2017-01-07</date><risdate>2017</risdate><volume>14</volume><issue>1</issue><spage>3</spage><epage>3</epage><pages>3-3</pages><artnum>3</artnum><issn>1479-5868</issn><eissn>1479-5868</eissn><abstract>There is some evidence that large energy intakes towards the end of the day are associated with adverse health outcomes, however, studies of temporal eating patterns across the day are rare. This study examines the temporal eating patterns of Australian adults using latent class analysis (LCA), as a novel approach.
Dietary data (n = 2402 men and n = 2840 women, ≥19 years) from two 24-h recalls collected during the 2011-12 Australian National Nutrition and Physical Activity Survey were analyzed. LCA was performed to identify distinct temporal eating patterns based on whether or not an eating occasion (EO) occurred within each hour of the day. F and adjusted-chi
tests assessed differences in sociodemographic and eating patterns (e.g., meal, snack and EO frequency) between latent classes.
Three patterns, labelled "Conventional" (men: 43%, women: 41%), "Later lunch" (men: 34%, women: 34%) and "Grazing" (men: 23%, women: 25%) were identified. Men and women with a "Grazing" pattern were significantly younger (P < 0.001) and a higher proportion were from major cities (P < 0.01) and were not married (men only, P = 0.01), compared to the "Conventional" and "Later lunch" patterns. The "Grazing" pattern was also characterized by a higher EO frequency (P < 0.01) and snack frequency (P < 0.001) and consumption of a higher proportion of total energy intake from snacks but a lower proportion of total energy intake from meals (P < 0.001).
This study identified three distinct temporal eating patterns in adults that varied by age, EO frequency, snack frequency and energy intake pattern. LCA is a useful approach to capture differences in EO timing across the day. Future research should examine associations between temporal eating patterns and health.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>28061795</pmid><doi>10.1186/s12966-016-0459-6</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult adults Aged Analysis Australia cities Country of birth Cross-Sectional Studies Diet Eating Eating behavior eating habits Energy Energy Intake Exercise Feeding Behavior Female Food Food habits Health aspects Health surveys Households Humans ingestion Latent class analysis Lunch Male Marital status Meals men Mental Recall Middle Aged Nutrition Observational studies physical activity Physical fitness Snacks Sociodemographics Surveys Tea Type 2 diabetes women |
| title | Temporal eating patterns: a latent class analysis approach |
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