{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T06:50:33Z","timestamp":1763016633331},"reference-count":31,"publisher":"Cambridge University Press (CUP)","issue":"2","license":[{"start":{"date-parts":[[2007,1,2]],"date-time":"2007-01-02T00:00:00Z","timestamp":1167696000000},"content-version":"unspecified","delay-in-days":276,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Public Health Nutr."],"published-print":{"date-parts":[[2006,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec id=\"S1368980006000395_sec01\"><jats:title>Objective<\/jats:title><jats:p>To investigate the degree of individual heterogeneity related to complex dietary behaviour and to further examine the associations of different dietary compositions with selected characteristics.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980006000395_sec02\"><jats:title>Design<\/jats:title><jats:p>Latent class analysis was applied to data from the recent cross-sectional National Family Health Survey that collected information on the intake frequency of selected foods. Different responses regarding intake frequency were condensed into a set of five meaningful latent clusters representing different dietary patterns and these clusters were then labelled based on the reported degree of diet mixing.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980006000395_sec03\"><jats:title>Setting<\/jats:title><jats:p>Indian states.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980006000395_sec04\" sec-type=\"subjects\"><jats:title>Subjects<\/jats:title><jats:p>In total, 90 180 women aged 15\u201349 years.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980006000395_sec05\" sec-type=\"results\"><jats:title>Results<\/jats:title><jats:p>Three clusters were predominantly non-vegetarian and two were vegetarian. A very high or high mixed-diet pattern was observed particularly in the southern and a few north-eastern states. Many women in the very high mixed-diet cluster consumed mostly non-green\/leafy vegetables on a daily basis, and fruits and other non-vegetarian diet on a weekly basis. In contrast, those in the low mixed-diet cluster consumed more than three-fifths of the major vegetarian diet ingredients alone on a daily basis. The affluent group that represented the low mixed-diet cluster were primarily vegetarians and those who represented the very high mixed-diet cluster were mostly non-vegetarians. The significant interrelationships of different characteristics highlight not only socio-economic, spatial and cultural disparities related to dietary practices, but also the substantial heterogeneity in diet mixing behaviour.<\/jats:p><\/jats:sec><jats:sec id=\"S1368980006000395_sec06\" sec-type=\"conclusion\"><jats:title>Conclusions<\/jats:title><jats:p>The results of this study confirmed our hypothesis of heterogeneous dietary behaviour of Indian women and yielded useful policy-oriented results which might be difficult to establish otherwise.<\/jats:p><\/jats:sec>","DOI":"10.1079\/phn2005842","type":"journal-article","created":{"date-parts":[[2006,3,29]],"date-time":"2006-03-29T21:40:01Z","timestamp":1143668401000},"page":"204-211","source":"Crossref","is-referenced-by-count":37,"title":["Disentangling women's responses on complex dietary intake patterns from an Indian cross-sectional survey: a latent class analysis"],"prefix":"10.1017","volume":"9","author":[{"given":"Sabu S","family":"Padmadas","sequence":"first","affiliation":[]},{"given":"Jos\u00e9 G","family":"Dias","sequence":"additional","affiliation":[]},{"given":"Frans J","family":"Willekens","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2007,1,2]]},"reference":[{"key":"S1368980006000395_ref011","first-page":"10","volume-title":"Diet, Nutrition and Chronic Disease: Lessons from Contrasting Worlds","author":"Gopalan","year":"1997"},{"key":"S1368980006000395_ref028","first-page":"222","article-title":"Cancer risk and diet in India","volume":"49","author":"Sinha","year":"2003","journal-title":"Journal of Postgraduate Medicine"},{"key":"S1368980006000395_ref002","volume-title":"On Specifying Poverty Lines. 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