Dietary patterns in the Southampton Women's Survey

Crozier, Sarah; Robinson, Siân; Borland, Sharon E.; Inskip, Hazel

doi:10.1038/sj.ejcn.1602469

Cited by 103 publications

(154 citation statements)

References 41 publications

(54 reference statements)

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“…Similar results have also been presented in other adult studies (42)(43)(44)(45) . Arrkola et al (2008) reported dietary patterns in relation to dietary intakes in 3730 pregnant women and identified seven dietary patterns, with energy intake found to be positively correlated with the 'healthy', 'fast food', 'traditional bread', 'traditional meat' and 'coffee' patterns.…”

Section: Discussionsupporting

confidence: 91%

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Dietary patterns throughout childhood and associations with nutrient intakes

Cribb¹,

Emmett²,

Northstone³

2012

Public Health Nutr.

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Objective: To examine how the dietary patterns of children at various time points throughout childhood relate to estimated nutrient intakes. Design: FFQ at 3, 4, 7 and 9 years of age were completed by mothers. Dietary patterns were identified cross-sectionally using principal component analysis; 'processed', 'health conscious' and 'traditional' patterns were consistently obtained. Correlations between pattern scores and nutrient intakes and proportions of variance in nutrients explained by the patterns were calculated. Setting: Avon Longitudinal Study of Parents and Children (ALSPAC), Bristol, UK. Subjects: Children provided data between 3 and 9 years of age (n 8010 to 10 023). Results: Dietary patterns explained substantial proportions of the variance of the absolute intake for most nutrients (.25 % at 3 years of age, .40 % other ages). After energy adjustment, protein, fibre, K, Mg, Fe, Zn, folate, thiamin and vitamin B 6 continued to be well explained. Strong correlations were observed between the 'processed' pattern and macronutrients including energy (r 5 0?481-0?619), total fat (r 5 0?529-0?662) and total sugar (r 5 0?475-0?693). However correlations with most micronutrients were reversed after energy adjustment, suggesting that the 'processed' pattern is energy-dense but nutrient-poor. The 'health conscious' and 'traditional' patterns were strongly positively correlated with protein, fibre and most micronutrients, whether energy adjusted or not. Higher scores on these patterns were associated with a better nutrient profile. Conclusions: Dietary patterns explain a reasonable amount of the variation in the nutrient content of diets. Higher scores on the 'health conscious' and 'traditional' dietary patterns were related to better nutrient profiles; conversely, with higher scores on the 'processed' pattern the nutrient profile was poorer.

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Section: Discussionsupporting

confidence: 91%

“…Previous work exploring these associations in relation to estimated nutrient intakes, although still limited, has primarily been in adults (42)(43)(44)(45) . To our knowledge, only one UK study has examined the associations between dietary patterns and nutrient intakes in children.…”

Section: Discussionmentioning

confidence: 99%

Dietary patterns throughout childhood and associations with nutrient intakes

Cribb¹,

Emmett²,

Northstone³

2012

Public Health Nutr.

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“…processed meat, confectionery and high-energy beverages (23) . The Osaka Maternal and Child Health Study in Japan reported three dietary patterns assessed by cluster analysis.…”

Section: Discussionmentioning

confidence: 99%

Maternal dietary patterns and associated nutrient intakes during each trimester of pregnancy

McGowan

McAuliffe

2012

Public Health Nutr.

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Objective: To determine the main dietary patterns of pregnant women during each of the three trimesters of pregnancy and to examine associated nutrient intakes. Design: Participants completed a 3 d food diary during each trimester of pregnancy. Thirty-six food groups were created and dietary patterns were derived using k-means cluster analysis. Setting: National Maternity Hospital, Dublin, Ireland. Subjects: Two hundred and eighty-five healthy pregnant women aged between 20 and 41 years. Results: Two dietary patterns were identified at each time point. They were labelled 'Unhealthy' (n 143, 150 and 155 at trimester 1, 2 and 3, respectively) and 'Health Conscious' (n 142, 135 and 130 at trimester 1, 2 and 3, respectively). Women in the 'Health Conscious' cluster were significantly older, had lower BMI and were higher educated than those in the 'Unhealthy' cluster. Of those in the 'Unhealthy' cluster in the first trimester (n 143), 103 (72?0 %) continued in this dietary pattern into trimester 2 and eighty-one (56?6 %) continued into trimester 3. Of those in the 'Health Conscious' cluster in trimester 1 (n 142), ninety-five (66?9 %) continued in this dietary pattern into trimester 2 and sixty-nine (48?6 %) continued into trimester 3. Conclusions: Cluster analysis produced two clearly defined dietary patterns at each stage of pregnancy. Knowledge of maternal dietary patterns is important for the development of pregnancy-specific dietary guidelines. Identifying women with an 'Unhealthy' dietary pattern in early pregnancy affords the opportunity for a dietary intervention which may positively impact both maternal and infant health.

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“…All women were visited at home to obtain information on diet and lifestyle, and anthropometric measurements of body composition were taken. Between April 1998 and June 2000 (Crozier et al, 2006), 6129 women were interviewed. These women were living in the Western part of Southampton, and represent 75% of those women who could be contacted.…”

Section: Methodsmentioning

confidence: 99%

“…We have previously described the two most important dietary patterns of women in the SWS (Crozier et al, 2006). Given that little is known about the stability of diet in young women, we examined the stability of these patterns over a two-year period in a subset of the women, and investigated factors that influence this stability.…”

Section: Introductionmentioning

confidence: 99%

Stability of dietary patterns in young women over a 2-year period

et al. 2007

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Objective: To examine the stability of dietary patterns in young women over a two-year period and to identify factors that influence stability. Design: A food frequency questionnaire was used to assess diet. In a subgroup, this was repeated after 2 years. Questions were asked about major changes to diet over this time. Dietary patterns were identified using principal components analysis and pattern scores were compared at the two time points. The consumption of foods was also examined. The relationship between change in pattern scores and socio-demographic factors and body mass index was assessed. Setting: The Southampton Women's Survey, a prospective study of diet, health and lifestyle in young women and their influences on fetal growth Subjects: A subgroup of 94 women from a cohort of 6129 nonpregnant women aged 20-34 years. Results: Two dietary patterns, labelled 'prudent' and 'high energy', were identified. Spearman correlation coefficients between the initial and repeat scores for the prudent and high-energy patterns were 0.81 and 0.64, respectively. Average changes (repeat -initial) were 0.13 and À0.01 SD of initial score. Change in prudent dietary pattern score was influenced by amount of strenuous exercise taken and by changes in partnership status. An increase in high-energy pattern score was associated with lower social class. Conclusions: Dietary patterns in young women are reasonably stable over a 2-year period. This suggests that dietary patterns identified in the recent past may provide useful information about current dietary patterns.

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Dietary patterns in the Southampton Women's Survey

Cited by 103 publications

References 41 publications

Dietary patterns throughout childhood and associations with nutrient intakes

Dietary patterns throughout childhood and associations with nutrient intakes

Maternal dietary patterns and associated nutrient intakes during each trimester of pregnancy

Stability of dietary patterns in young women over a 2-year period

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