Department of Epidemiology and Public Health, University College Cork, Brookfield Health Sciences Complex, College Road, Cork, Ireland.
Public Health Nutr. 2011 Mar;14(3):532-41. doi: 10.1017/S1368980010001801. Epub 2010 Aug 16.
To estimate the extent of under- and over-reporting, to examine associations with misreporting and sociodemographic and lifestyle characteristics and mental health status and to identify differential reporting in micro- and macronutrient intake and quality of diet.
A health and lifestyle questionnaire and a semi-quantitative FFQ were completed as part of the 2007 Survey of Lifestyle, Attitudes and Nutrition. Energy intake (EI) and intake of micro- and macronutrients were determined by applying locally adapted conversion software. A dietary score was constructed to identify healthier diets. Accuracy of reported EI was estimated using the Goldberg method. ANOVA, χ2 tests and logistic regression were used to examine associations.
Residential households in Ireland.
A nationally representative sample of 7521 adults aged 18 years or older.
Overall, 33·2 % of participants were under-reporters while 11·9 % were over-reporters. After adjustment, there was an increased odds of under-reporting among obese men (OR = 2·01, 95 % CI 1·46, 2·77) and women (OR = 1·68, 95 % CI 1·23, 2·30) compared to participants with a healthy BMI. Older age, low socio-economic status and overweight/obesity reduced the odds of over-reporting. Among under-reporters, the percentage of EI from fat was lower and overall diet was healthier compared to accurate and over-reporters. The reported usage of salt, fried food consumption and snacking varied significantly by levels of misreporting.
Patterns in differential reporting were evident across sociodemographic, lifestyle and mental health factors and diet quality. Consideration should be given to how misreporting affects nutrient analysis to ensure sound nutritional policy.
评估低报和高报的程度,研究其与错误报告以及社会人口学、生活方式特征和心理健康状况的关联,并确定微量营养素和宏量营养素摄入以及饮食质量方面的差异报告。
作为 2007 年生活方式、态度和营养调查的一部分,完成了一份健康和生活方式问卷以及一份半定量的 FFQ。通过应用本地改编的转换软件来确定能量摄入 (EI) 和微量营养素和宏量营养素的摄入量。构建了一个饮食评分来确定更健康的饮食。使用 Goldberg 方法估计报告的 EI 的准确性。使用方差分析、卡方检验和逻辑回归来检查关联。
爱尔兰的居住家庭。
年龄在 18 岁或以上的全国代表性样本 7521 名成年人。
总体而言,33.2%的参与者是低报者,11.9%是高报者。调整后,与 BMI 健康的参与者相比,肥胖男性(OR=2.01,95%CI 1.46,2.77)和女性(OR=1.68,95%CI 1.23,2.30)低报的可能性更高。年龄较大、社会经济地位较低以及超重/肥胖会降低高报的可能性。与准确报告和高报者相比,低报者的脂肪供能百分比较低,整体饮食更健康。报告的盐、油炸食品消费和零食摄入量因错误报告的程度而异。
在社会人口学、生活方式和心理健康因素以及饮食质量方面,存在差异报告的模式。应该考虑错误报告如何影响营养分析,以确保合理的营养政策。