Social Gradients and Physical Activity Trends in an Obesogenic Dietary Pattern: Cross-Sectional Analysis of the UK National Diet and Nutrition Survey 2008-2014.
Social Gradients and Physical Activity Trends in an Obesogenic Dietary Pattern: Cross-Sectional Analysis of the UK National Diet and Nutrition Survey 2008-2014.
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DOI：
10.3390/nu10040388
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发表时间：
2018-03-22
期刊：
影响因子：
5.9
通讯作者：
Papadaki A
中科院分区：
文献类型：
--
作者：
Johnson L;Toumpakari Z;Papadaki A
能量密集、高脂肪、低纤维的饮食模式可能与儿童肥胖的发展有关，但这是针对特定人群的，这限制了将这种模式转化为干预措施。我们首次在英国国家饮食和营养调查（NDNS）中探讨了这种致肥性饮食模式的普遍性和相关性。数据来自2008-2014年NDNS中记录4天饮食日记的参与者（n = 4636名儿童和n = 4738名成人）。减少等级回归应用于51种食物组，以解释能量密度、纤维和脂肪摄入量的变化。使用一致性系数（COC）比较了人口亚组（按性别、年龄、职业和收入）模式与整个样本模式的一致性。模式相关性（社会人口统计学、调查年份、身体活动和饮食相关行为）采用多元线性回归进行探讨。食物组负荷与先前确定的致肥性饮食模式相似，并且在所有亚组中均可推广（COC: 0.93-0.99）。致肥性饮食与吃外卖、杂食性、手工家庭职业以及成人和儿童较低的家庭收入有关（p < 0.0001）。在成年人中，为减肥而节食、年龄越大、身体活动越多、久坐时间越少与导致肥胖的饮食减少有关（p < 0.0001）。未来的实验研究应该调查这种致肥模式的变化是否可以用来监测肥胖预防政策的有效性或制定个性化的干预措施。
An energy-dense, high-fat, low-fibre dietary pattern has been prospectively associated with the development of obesity in childhood but is population-specific, which limits translating the pattern into interventions. We explored the generalisability and correlates of this obesogenic dietary pattern in the UK National Diet and Nutrition Survey (NDNS) for the first time. Data came from participants (n = 4636 children and n = 4738 adults) with 4-day food diaries in NDNS 2008–2014. Reduced rank regression was applied to 51 food groups to explain variation in energy density, fibre and fat intake. Consistency of the pattern in population subgroups (according to sex, age, occupation and income) was compared with the whole sample pattern using coefficients of congruence (COC). Pattern correlates (sociodemographic, survey year, physical activity and eating related behaviours) were explored using multiple linear regression. Food group loadings were similar to the previously identified obesogenic dietary pattern and were generalisable across all sub-groups (COC: 0.93–0.99). An obesogenic diet was associated with eating takeaways, being omnivorous, a manual household occupation and lower household income in both adults and children (p < 0.0001). Dieting for weight loss, being older, more physically active and less sedentary was associated with a less obesogenic diet among adults (p < 0.0001). Future experimental studies should investigate if changes in this obesogenic pattern could be used to monitor the effectiveness of obesity prevention policies or develop personalised interventions.
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