{"id":50148,"date":"2005-09-01T00:00:00","date_gmt":"2018-12-04T04:11:48","guid":{"rendered":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/an-approach-to-estimate-between-and-within-group-correlation\/"},"modified":"2018-12-04T05:11:48","modified_gmt":"2018-12-04T04:11:48","slug":"an-approach-to-estimate-between-and-within-group-correlation","status":"publish","type":"resume","link":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/an-approach-to-estimate-between-and-within-group-correlation\/","title":{"rendered":"An approach to estimate between- and within-group correlation coefficients in multicenter studies: plasma carotenoids as biomarkers of intake of fruits and vegetables."},"content":{"rendered":"<p style=\"text-align: justify\">In a multicenter study, the overall correlation between two variables can be broken down into a within- and a between-group correlation reflecting associations at the individual and aggregate levels, respectively. A random-effects model is used to estimate variance components of nutrition-related variables and the within- and between-group correlation coefficients. Using data from the European Prospective Investigation into Cancer and Nutrition (<span class='tooltipsall tooltip_post_id_80438 classtoolTips80438'>EPIC<\/span>), the authors analyzed the association between levels of three plasma carotenoids (alpha-carotene, beta-cryptoxanthin, and lycopene) and dietary intake of three items (total fruits, carrots, and tomatoes), assessed through dietary questionnaire and single 24-hour dietary recall measurements, in a cross-sectional study involving 3,089 subjects from nine European countries. Intraclass correlation coefficients were 0.178 for alpha-carotene, 0.216 for beta-cryptoxanthin, and 0.299 for lycopene. The between-group correlation coefficients were higher than the within-group coefficients for all three carotenoids. For beta-cryptoxanthin and fruit intake, the between-group versus the within-group correlations were 0.78 and 0.26 for the dietary questionnaire and 0.85 and 0.19 for the 24-hour dietary recall. Results indicate that variability of exposure is driven mainly by the individual compared with the aggregate variation and that biomarker levels perform fairly accurately in discriminating population-level consumption of fruits and vegetables.<\/p>\n","protected":false},"template":"","mots_cles":[],"class_list":["post-50148","resume","type-resume","status-publish","hentry"],"acf":{"adresse":"Unit of Nutrition and Cancer, International Agency for Research on Cancer, Lyon, France.","annee":"2005","mois":"9","numero":"162:6","page":"591-598","auteurs":[{"ID":12113,"post_author":"0","post_date":"2018-12-03 18:42:51","post_date_gmt":"2018-12-03 17:42:51","post_content":"","post_title":"Guri Skeie","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"guri-skeie","to_ping":"","pinged":"","post_modified":"2018-12-03 18:42:51","post_modified_gmt":"2018-12-03 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