Literature DB >> 23200309

Classification of main meal patterns--a latent class approach.

Wei C Wang1, Anthony Worsley, Victoria Hodgson.   

Abstract

Relatively little examination of the meals that are prepared in households has been conducted, despite their well-defined properties and widespread community interest in their preparation. The purpose of the present study was to identify the patterns of main meal preparation among Australian adult household meal preparers aged 44 years and younger and 45 years and over, and the relationships between these patterns and likely socio-demographic and psychological predictors. An online cross-sectional survey was conducted by Meat and Livestock Australia among a representative sample of people aged 18–65 years in Australia in 2011. A total of 1076 usable questionnaires were obtained, which included categorical information about the main meal dishes that participants had prepared during the previous 6 months along with demographic information, the presence or absence of children at home, confidence in seasonal food knowledge and personal values. Latent class analysis was applied and four types of usage patterns of thirty-three popular dishes were identified for both age groups, namely, high variety, moderate variety, high protein but low beef and low variety. The meal patterns were associated differentially with the covariates between the age groups. For example, younger women were more likely to prepare a high or moderate variety of meals than younger men, while younger people who had higher levels of education were more likely to prepare high-protein but low-beef meals. Moreover, young respondents with higher BMI were less likely to prepare meals with high protein but low beef content. Among the older age group, married people were more likely to prepare a high or moderate variety of meals than people without partners. Older people who held strong universalist values were more likely to prepare a wide variety of meals with high protein but low beef content. For both age groups, people who had children living at home and those with better seasonal food knowledge were more likely to prepare a high variety of dishes. The identification of classes of meal users would enable health communication to be tailored to improve meal patterns. Moreover, the concept of meals may be useful for health promotion, because people may find it easier to change their consumption of meals rather than individual foods.

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Year:  2012        PMID: 23200309     DOI: 10.1017/S0007114512004539

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  4 in total

1.  Impact of Diet Composition in Adult Offspring is Dependent on Maternal Diet during Pregnancy and Lactation in Rats.

Authors:  Megan C Hallam; Raylene A Reimer
Journal:  Nutrients       Date:  2016-01-14       Impact factor: 5.717

2.  Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey).

Authors:  Irina Uzhova; Clara Woolhead; Claire M Timon; Aifric O'Sullivan; Lorraine Brennan; José L Peñalvo; Eileen R Gibney
Journal:  Nutrients       Date:  2018-03-06       Impact factor: 5.717

3.  Dietary patterns of >30,000 adolescents 9-15 years of age in rural Bangladesh.

Authors:  Andrew L Thorne-Lyman; Saijuddin Shaikh; Sucheta Mehra; Lee S F Wu; Hasmot Ali; Kelsey Alland; Kerry J Schultze; Maithilee Mitra; Jinhee Hur; Parul Christian; Alain B Labrique; Keith P West
Journal:  Ann N Y Acad Sci       Date:  2019-08-12       Impact factor: 5.691

4.  Tailoring community-based wellness initiatives with latent class analysis--Massachusetts Community Transformation Grant projects.

Authors:  Mariana Arcaya; Timothy Reardon; Joshua Vogel; Bonnie K Andrews; Wenjun Li; Thomas Land
Journal:  Prev Chronic Dis       Date:  2014-02-13       Impact factor: 2.830

  4 in total

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