2018
DOI: 10.1017/s0007114518001587
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Identifying usual food choices at meals in overweight and obese study volunteers: implications for dietary advice

Abstract: Understanding food choices made for meals in overweight and obese individuals may aid strategies for weight loss tailored to their eating habits. However, limited studies have explored food choices at meal occasions. The aim of this study was to identify the usual food choices for meals of overweight and obese volunteers for a weight-loss trial. A cross-sectional analysis was performed using screening diet history data from a 12-month weight-loss trial (the HealthTrack study). A descriptive data mining tool, t… Show more

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Cited by 17 publications
(19 citation statements)
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“…Novel data mining techniques (e.g. maching learning algorithms) may help in defining more precisely the usual type of consumed meals [ 57 , 58 ]. Furthermore, the inconsistent definitions of breakfast and breakfast skipping across studies and countries [ 6 , 59 ] renders comparisons difficult.…”
Section: Discussionmentioning
confidence: 99%
“…Novel data mining techniques (e.g. maching learning algorithms) may help in defining more precisely the usual type of consumed meals [ 57 , 58 ]. Furthermore, the inconsistent definitions of breakfast and breakfast skipping across studies and countries [ 6 , 59 ] renders comparisons difficult.…”
Section: Discussionmentioning
confidence: 99%
“…However, little is known about the combinations of foods consumed simultaneously during specific eating occasions [14][15][16][17][18][19][20][21][22][23], mainly because of a lack of practical assessment tools. There exist a near-infinite number of feasible food combinations, resulting in an unmanageable number of individual meals.…”
Section: Introductionmentioning
confidence: 99%
“…Data mining techniques were used to identify food groups associated with walnut consumption, using RStudio, version 1.0.44 (incorporating R, version 3.2.5; The R Foundation for Statistical Computing, Vienna, Austria) (43). The detailed analysis method is described elsewhere (23). In brief, by letting I = I1, I2, .…”
Section: Discussionmentioning
confidence: 99%