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Padmadas, S. S., Dias, J. G. & Willekens, F. J. (2006). Disentangling women’s responses on complex dietary intake patterns from an Indian cross-sectional survey: a latent class analysis. Public Health Nutrition. 9 (2), 204-211

S. S. Padmadas et al.,  "Disentangling women’s responses on complex dietary intake patterns from an Indian cross-sectional survey: a latent class analysis", in Public Health Nutrition, vol. 9, no. 2, pp. 204-211, 2006

@article{padmadas2006_1732203177590,
	author = "Padmadas, S. S. and Dias, J. G. and Willekens, F. J.",
	title = "Disentangling women’s responses on complex dietary intake patterns from an Indian cross-sectional survey: a latent class analysis",
	journal = "Public Health Nutrition",
	year = "2006",
	volume = "9",
	number = "2",
	doi = "10.1079/PHN2005842",
	pages = "204-211",
	url = "https://www.cambridge.org/core/journals/public-health-nutrition/article/disentangling-womens-responses-on-complex-dietary-intake-patterns-from-an-indian-crosssectional-survey-a-latent-class-analysis/20D788F52EBE2AFB7C7E7EC53F509EFB"
}

TY  - JOUR
TI  - Disentangling women’s responses on complex dietary intake patterns from an Indian cross-sectional survey: a latent class analysis
T2  - Public Health Nutrition
VL  - 9
IS  - 2
AU  - Padmadas, S. S.
AU  - Dias, J. G.
AU  - Willekens, F. J.
PY  - 2006
SP  - 204-211
SN  - 1368-9800
DO  - 10.1079/PHN2005842
UR  - https://www.cambridge.org/core/journals/public-health-nutrition/article/disentangling-womens-responses-on-complex-dietary-intake-patterns-from-an-indian-crosssectional-survey-a-latent-class-analysis/20D788F52EBE2AFB7C7E7EC53F509EFB
AB  - Objective: 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.
Design: 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.
Setting: Indian states.
Subjects: In total, 90 180 women aged 15–49 years.
Results: 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.
Conclusions: 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.
ER  -