Are clusters of dietary patterns and cluster membership stable over time? Results of a longitudinal cluster analysis study

Walthouwer, Michel Jean Louis; Oenema, Anke; Soetens, Katja; Lechner, Lilian; Vries, Hein de

doi:10.1016/j.appet.2014.07.025

Cited by 24 publications

(24 citation statements)

References 25 publications

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“…Higher scores on a maternal prudent diet were the most important determinant of the children's prudent diet scores (Fisk et al 2011). Similarities in cluster dietary patterns over time were observed among adult subjects from the Netherlands who were followed for 6 months: 66.2% of them remained in the same cluster, 11.9% changed to an unhealthier cluster, while 21.9% moved to a healthier cluster (Walthouwer et al 2014).…”

Section: Discussionmentioning

confidence: 71%

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Dietary patterns by cluster analysis in pregnant women: relationship with nutrient intakes and dietary patterns in 7‐year‐old offspring

Freitas-Vilela¹,

Smith

Kac³

et al. 2016

Maternal & Child Nutrition

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Little is known about how dietary patterns of mothers and their children track over time. The objectives of this study are to obtain dietary patterns in pregnancy using cluster analysis, to examine women's mean nutrient intakes in each cluster and to compare the dietary patterns of mothers to those of their children. Pregnant women (n = 12 195) from the Avon Longitudinal Study of Parents and Children reported their frequency of consumption of 47 foods and food groups. These data were used to obtain dietary patterns during pregnancy by cluster analysis. The absolute and energy‐adjusted nutrient intakes were compared between clusters. Women's dietary patterns were compared with previously derived clusters of their children at 7 years of age. Multinomial logistic regression was performed to evaluate relationships comparing maternal and offspring clusters. Three maternal clusters were identified: ‘fruit and vegetables’, ‘meat and potatoes’ and ‘white bread and coffee’. After energy adjustment women in the ‘fruit and vegetables’ cluster had the highest mean nutrient intakes. Mothers in the ‘fruit and vegetables’ cluster were more likely than mothers in ‘meat and potatoes’ (adjusted odds ratio [OR]: 2.00; 95% Confidence Interval [CI]: 1.69–2.36) or ‘white bread and coffee’ (OR: 2.18; 95% CI: 1.87–2.53) clusters to have children in a ‘plant‐based’ cluster. However the majority of children were in clusters unrelated to their mother dietary pattern. Three distinct dietary patterns were obtained in pregnancy; the ‘fruit and vegetables’ pattern being the most nutrient dense. Mothers' dietary patterns were associated with but did not dominate offspring dietary patterns.

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Section: Discussionmentioning

confidence: 71%

“…Similarities in cluster dietary patterns over time were observed among adult subjects from the Netherlands who were followed for 6 months: 66.2% of them remained in the same cluster, 11.9% changed to an unhealthier cluster, while 21.9% moved to a healthier cluster (Walthouwer et al . ).…”

Section: Discussionmentioning

confidence: 97%

Dietary patterns by cluster analysis in pregnant women: relationship with nutrient intakes and dietary patterns in 7‐year‐old offspring

Freitas-Vilela¹,

Smith

Kac³

et al. 2016

Maternal & Child Nutrition

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“…Third, the lack of longitudinal data did not allow us to address whether there are differences in course for the clusters. Furthermore, we were not able to test the stability of cluster membership over time, and identify sociodemographic predictors of cluster membership and cluster transition over time (47). Our team is currently working on an expansion of this study using long-term follow-up.…”

Section: Discussionmentioning

confidence: 99%

A demographic, clinical, and behavioral typology of obesity in the United States: an analysis of National Health and Nutrition Examination Survey 2011–2012

Jiménez

Green

Subramanian

et al. 2018

Annals of Epidemiology

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“…18 In the cluster analysis, the subjects with the greatest similarity are put in the same cluster, and each cluster has the most different from the other clusters. 18,19 Based on the results, three clusters were proposed: cluster A with a high prevalence of risk factors, poor HPLP, and high PTSD; cluster B with a low prevalence of risk factors, and moderate HPLP and PTSD; and cluster C with a moderate prevalence of risk factors, good HPLP, and low PTSD. These results are consistent with the findings of previous studies regarding the contributing role of lifestyle components such as physical activity and psychological factors in clustering and membership of patients with heart disease 20 and other populations.…”

Section: Discussionmentioning

confidence: 99%

Combined profiles derived from cardiovascular risk factors, health-promoting lifestyle, and post-traumatic stress disorder symptoms

Ahmadi

Komasi

2020

Clinical Epidemiology and Global Health

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Background: Obviously, determining and organizing patients' health profile is important after a cardiac event or procedure. Therefore, the present study was conducted with the aim of cluster analysis of the post-traumatic stress disorder (PTSD) symptoms, illness risk factors, and health-promoting lifestyle profile (HPLP) in patients with heart disease. Methods: This cross-sectional study was conducted on 201 patients with established heart disease in a hospital in the west of Iran. The participants were randomly selected during January-May 2017. The self-report checklist for demographics and cardiovascular risk factors, the Health-Promoting Lifestyle Profile II (HPLP-II), and the NSESSS-PTSD were the measurement tools. The results were analyzed using two-stage cluster analysis (TSCA), one-way ANOVA, and Bonferroni post hoc test. Results: The mean age of patients (50.2% female) was 53.4 ± 11.9 years old. TSCA provided the three clusters: (A) samples with poor lifestyle/high PTSD (36.3%); (B) samples with a relatively poor lifestyle/moderate PTSD (20.9%); and (C) samples with a relatively good lifestyle/mild PTSD (42.8%). In most variables, there is a significant difference between clusters A and C (p < 0.05). Conclusions: The profiles of risk factors, lifestyle, and experienced PTSD symptoms are not the same for all patients with heart disease. So, specialists should focus on high-risk groups through the design and delivery of appropriate interventions and cardiac rehabilitation programs tailored to the unique Profiles.

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Are clusters of dietary patterns and cluster membership stable over time? Results of a longitudinal cluster analysis study

Cited by 24 publications

References 25 publications

Dietary patterns by cluster analysis in pregnant women: relationship with nutrient intakes and dietary patterns in 7‐year‐old offspring

Dietary patterns by cluster analysis in pregnant women: relationship with nutrient intakes and dietary patterns in 7‐year‐old offspring

A demographic, clinical, and behavioral typology of obesity in the United States: an analysis of National Health and Nutrition Examination Survey 2011–2012

Combined profiles derived from cardiovascular risk factors, health-promoting lifestyle, and post-traumatic stress disorder symptoms

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