Dietary patterns among a national random sample of British adults

Pryer, Jane; Nichols, R; Elliott, Paul; Thakrar, Bharat; Brunner, Eric J.; Marmot, Michael

doi:10.1136/jech.55.1.29

Cited by 110 publications

(107 citation statements)

References 18 publications

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“…Based on the low energy intake, this group could also be called a low food energy group or low energy reporter (LER) group. Other studies have reported higher BMI in low energy groups (Pryer et al, 1997(Pryer et al, , 2001Fraser et al, 2000), but we did not find the same tendency in our LER group. However, we found a somewhat higher percentage of Bold numbers marks cluster with highest intake, underlined numbers marks clusters with lowest intake.…”

Section: Discussioncontrasting

confidence: 99%

“…The patterns we find in this study are similar to patterns found in several other studies. The Western pattern (Slattery et al, 1998;Fung et al, 2001;Terry et al, 2001) and the healthy pattern (or 'prudent pattern') are reported by many others (Slattery et al, 1998;Fung et al, 2001;Pryer et al, 2001;Terry et al, 2001;Chen et al, 2002;Newby et al, 2003), the same is the case for the alcohol pattern (Slattery et al, 1998;Terry et al, 2001;Newby et al, 2003) and the average pattern (or LER pattern) (Fraser et al, 2000;Greenwood et al, 2000;Millen et al, 2002). Several studies also report traditional diet patterns (Greenwood et al, 2000;Pryer et al, 2001;van Dam et al, 2003), but these are naturally different from the ones we find in our study since traditional patterns are specific to each country.…”

Section: Discussionsupporting

confidence: 51%

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Dietary patterns and lifestyle factors in the Norwegian EPIC cohort: The Norwegian Women and Cancer (NOWAC) study

et al. 2005

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Objective: To identify different dietary patterns in Norway using a combination of cluster and factor analysis. Design: Cross-sectional study. Setting: Nation-wide, population-based study. Subjects: The Norwegian EPIC cohort is a subcohort of the Norwegian Women and Cancer study (NOWAC), and consist 37.226 women aged 41-56 y who answered a food frequency questionnaire (FFQ) in 1998. Interventions: The associations among 50 food variables were first investigated by using principal component analysis. Five important factors were found. The five principal components were then used as input in the cluster analysis. Different socioeconomic and lifestyle variables were examined. Results: Six clusters of dietary patterns were found, and were labelled accordingly: 'traditional fish eaters', 'healthy eaters', 'average, less fish, less healthy', 'Western', 'traditional bread eaters', and 'alcohol users'. The traditional fish eaters and the traditional bread eaters were both highly represented in the north and west of Norway and were more likely to be present among persons with lower income and lower education. The healthy and the alcohol drinkers were found mostly in the south and east and were more likely to have higher income. Persons in the alcohol group were more likely to be current smokers. The western group had the highest percentage of three or more persons in the household and the shortest time since last birth, indicating that families with children dominate this group. Conclusion: Our data indicate six different dietary patterns in Norway, each with different socio-demographic and lifestyle characteristics.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionsupporting

confidence: 51%

Dietary patterns and lifestyle factors in the Norwegian EPIC cohort: The Norwegian Women and Cancer (NOWAC) study

et al. 2005

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“…Consistent with other studies, we observed a relation between 'alcohol and meat products' pattern and smoking, low physical activity level and overweight, suggesting an aggregation of high-risk factors (Pryer et al, 2001;Tseng and DeVellis, 2001;Villegas et al, 2004;Engeset et al, 2005). In addition, we observed an association between the 'alcohol and meat products' pattern and the use of hypertensive and hyperlipidaemia medication among men in our study.…”

Section: Discussionsupporting

confidence: 81%

“…Numerous studies have investigated relationships between sociodemographic characteristics, lifestyle and dietary patterns (Whichelow and Prevost, 1996;Greenwood et al, 2000;Pryer et al, 2001;Schulze et al, 2001;Tseng and DeVellis, 2001;Costacou et al, 2003;Sanchez-Villegas et al, 2003;Villegas et al, 2004;Bamia et al, 2005;Engeset et al, 2005;Park et al, 2005;Perrin et al, 2005;Yang et al, 2005;Pala et al, 2006). To our knowledge, only one study investigating the relationship between dietary patterns and their determinants was conducted in France, but among men only (Perrin et al, 2005), and there are no studies that have been carried out among French women and men.…”

Section: Introductionmentioning

confidence: 92%

Dietary patterns and their sociodemographic and behavioural correlates in French middle-aged adults from the SU.VI.MAX cohort

et al. 2008

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Background/Objectives: Few studies have investigated dietary patterns among French adults. We aimed to identify dietary patterns and their relation with nutrient intakes, sociodemographic, lifestyle and other health indicators in a large population of middle-aged subjects living in France. Subjects/Methods: Dietary patterns were identified using factor analysis in 5194 women and men aged 45-60 years enrolled in the SU.VI.MAX (Supplémentation en Vitamines et Minéraux Antioxydants) study. Dietary data were based on repeated 24-h dietary records (at least six records during 2 years). Results: Four patterns were identified: (1) 'alcohol and meat products'; (2) 'prudent diet'; (3) 'convenience foods'; and (4) 'starch, sauces, and vegetables'. The first pattern was positively associated with low education, smoking and overweight in both genders, as well as with abdominal obesity in women and treated hyperlipidaemia and/or hypertension in men. The second pattern was positively correlated with high education and being older than 55 years and negatively correlated with current smoking. This pattern was also associated with overweight and low waist circumference in women and with hyperlipidaemia treatment in men. The third pattern was inversely related to age and positively related to higher education in both genders. In men, higher scores were related to living alone and an urban residence. The fourth pattern was associated with high education and an urban residence in men only. Conclusions: Our study identified four dietary patterns in this population of French middle-aged adults. Associations with sociodemographic, behavioural and health-related factors were found to differ according to dietary patterns. Sex-specific relationships were also found.

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“…This may reflect different reasons for the lower BMI, with the men with the lowest education having a lower BMI due to issues of inadequate access to food, while men with higher education have a lower BMI due to better food choices. While others have reported a similar independent association between education and diet quality and BMI and diet quality 22,25 , we are not aware of any analyses that have reported the variations in this association with stratification. However, these results must be viewed cautiously as the number of men in our lowest BMI category is small (n ¼ 59).…”

Section: Discussionmentioning

confidence: 48%

Demographic factors associated with the diet quality of older US men: baseline data from the Osteoporotic Fractures in Men (MrOS) study

Shannon

Shikany

Barrett‐Connor

et al. 2007

Public Health Nutr.

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Objective: Throughout the world, the proportion of the male population aged 65 years and older is increasing. Yet, we have limited information regarding diet quality and predictors of diet quality in this segment of the population. The objectives of the current analyses are to describe the diet quality of a cohort of men .65 years of age, and identify lifestyle factors associated with poor diet quality. Methods: We present a cross-sectional analysis of the diet quality of 5928 men, aged 65 -100 years, who are participants in the Osteoporotic Fractures in Men (MrOS) cohort study. Dietary intake was determined using a modified Block 98 foodfrequency questionnaire. Diet quality was calculated using the previously validated Diet Quality Index-Revised (DQI-R). Univariate and multivariate modelling was used to estimate the variance in diet quality predicted by a number of sociodemographic factors, including age, race/ethnicity, body mass index (BMI), marital status, education, smoking status, physical activity, self-perceived health and nutritional supplement use. Results: Overall, we found that in this geographically diverse group of older men, diet quality was low, with a mean modified DQI-R for the entire study population of 62.5 (standard deviation 13

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Dietary patterns among a national random sample of British adults

Cited by 110 publications

References 18 publications

Dietary patterns and lifestyle factors in the Norwegian EPIC cohort: The Norwegian Women and Cancer (NOWAC) study

Dietary patterns and lifestyle factors in the Norwegian EPIC cohort: The Norwegian Women and Cancer (NOWAC) study

Dietary patterns and their sociodemographic and behavioural correlates in French middle-aged adults from the SU.VI.MAX cohort

Demographic factors associated with the diet quality of older US men: baseline data from the Osteoporotic Fractures in Men (MrOS) study

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