The National Cancer Institute Diet History Questionnaire: Validation of pyramid food servings
ABSTRACT The performance of the National Cancer Institute's food frequency questionnaire, the Diet History Questionnaire (DHQ), in estimating servings of 30 US Department of Agriculture Food Guide Pyramid food groups was evaluated in the Eating at America's Table Study (1997-1998), a nationally representative sample of men and women aged 20-79 years. Participants who completed four nonconsecutive, telephone-administered 24-hour dietary recalls (n = 1,301) were mailed a DHQ; 965 respondents completed both the 24-hour dietary recalls and the DHQ. The US Department of Agriculture's Pyramid Servings Database was used to estimate intakes of pyramid servings for both diet assessment tools. The correlation (rho) between DHQ-reported intake and true intake and the attenuation factor (lambda) were estimated using a measurement error model with repeat 24-hour dietary recalls as the reference instrument. Correlations for energy-adjusted pyramid servings of foods ranged from 0.43 (other starchy vegetables) to 0.84 (milk) among women and from 0.42 (eggs) to 0.80 (total dairy food) among men. The mean rho and lambda after energy adjustment were 0.62 and 0.60 for women and 0.63 and 0.66 for men, respectively. This food frequency questionnaire validation study of foods measured in pyramid servings allowed for a measure of food intake consistent with national dietary guidance.
- SourceAvailable from: Lee Stoner
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- "Alternatively, a food frequency questionnaire (FFQ), including the freely available National Cancer Institute Diet History Questionnaire (http://riskfactor.cancer.gov/dhq2/) [66, 67], allows for assessment of the usual patterns of food intake over an extended period of time [68, 69] and is considerably less burdensome in both time and cost than other measurement tools [70, 71]. "
ABSTRACT: Objective. To identify modifiable cardio-metabolic and lifestyle risk factors among indigenous populations from Australia (Aboriginal Australians/Torres Strait Islanders), New Zealand (Māori), and the United States (American Indians and Alaska Natives) that contribute to cardiovascular disease (CVD). Methods. National health surveys were identified where available. Electronic databases identified sources for filling missing data. The most relevant data were identified, organized, and synthesized. Results. Compared to their non-indigenous counterparts, indigenous populations exhibit lower life expectancies and a greater prevalence of CVD. All indigenous populations have higher rates of obesity and diabetes, hypertension is greater for Māori and Aboriginal Australians, and high cholesterol is greater only among American Indians/Alaska Natives. In turn, all indigenous groups exhibit higher rates of smoking and dangerous alcohol behaviour as well as consuming less fruits and vegetables. Aboriginal Australians and American Indians/Alaska Natives also exhibit greater rates of sedentary behaviour. Conclusion. Indigenous groups from Australia, New Zealand, and the United States have a lower life expectancy then their respective non-indigenous counterparts. A higher prevalence of CVD is a major driving force behind this discrepancy. A cluster of modifiable cardio-metabolic risk factors precede CVD, which, in turn, is linked to modifiable lifestyle risk factors.02/2014; 2014:547018. DOI:10.1155/2014/547018
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- "Studies have examined consumption of nutrients instead of specific food group items. By assessing patterns of food group consumption, it may be easier to identify the cause of nutrient deficiencies  and design appropriate interventions. Studies assessing dietary behaviours may be limited by recall bias. "
ABSTRACT: Background The COMPASS study is designed to follow a cohort of ~30,000 grade 9 to 12 students attending ~60 secondary schools for four years to understand how changes in school characteristics (policies, programs, built environment) are associated with changes in youth health behaviours. Since the student-level questionnaire for COMPASS (Cq) is designed to facilitate multiple large-scale school-based data collections using passive consent procedures, the Cq is only comprised of self-reported measures. The present study assesses the 1-week (1wk) test-retest reliability and the concurrent validity of the Cq measures for weight status and dietary intake. Methods Validation study data were collected from 178 grade 9 students in Ontario (Canada). At time 1 (T1), participants completed the Cq and daily recoding of their dietary intake using the web-based eaTracker tool. After one week, (T2), students completed the Cq again, participants submitted their daily eaTracker logs and staff measured their height and weight. Test-retest reliability of the self-reported (SR) weight status and dietary intake measures at T1 and T2, and the concurrent validity of the objectively measured and SR weight status and dietary intake measures at T2 were examined using intraclass correlation coefficients (ICC). Results Test-retest reliability for SR height (ICC 0.96), weight (ICC 0.99), and BMI (ICC 0.95) are considered substantial. The concurrent validity for SR height (ICC 0.88), weight (ICC 0.95), and BMI (ICC 0.84) are also considered substantial. The test-retest reliability for SR dietary intake for fruits and vegetables (ICC 0.68) and milk and alternatives (ICC 0.69) are considered moderate, whereas meat and alternatives (ICC 0.41), and grain products (ICC 0.56) are considered fair. The concurrent validity for SR dietary intake identified that fruits and vegetables (ICC 0.53), milk and alternatives (ICC 0.60), and grain products (ICC 0.41) are considered fair, whereas meat and alternatives (ICC 0.34) was considered slight. Conclusions While the test-retest reliability of the measures used in this study were all high, the concurrent validity of the measures was considered acceptable. The results support the use of the self-reported COMPASS weight status and dietary intake measures for use in research where objective measures are not possible.International Journal of Behavioral Nutrition and Physical Activity 04/2013; 10(1). DOI:10.1186/1479-5868-10-42 · 3.68 Impact Factor
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- "(3) History of breast feeding during infancy, including duration of breast feeding, pattern of breast feeding (solely or with weaning diets) and other nutritional supplements in nonbreast fed cases. (4) Diet History Questionnaire (DHQ) developed by National Cancer Institute (Millen et al., 2006; Subar et al., 2001) and was appropriately modified for this study and tested for its validity and reliability. The DHQ included 28 food items following the U.S. Department of Agriculture (USDA) Food Guide Pyramid food groups. "
ABSTRACT: Recent case-control studies on breastfeeding and childhood leukemia risk have indicated that longer duration of breast feeding (> 6 months) is associated with decreased risk of the disease. To investigate the relationship between duration of breastfeeding and risk of childhood leukemia in Oman. In a case control study all recently diagnosed and registered cases of childhood leukemia at the National Registry during (1999-2009), a total of 70 cases, were recruited. For each case, a gender and age matched control was selected either from the family relatives or from the neighbors of family siblings. Breastfeeding is culturally favored for longer periods of time (up to 24 months) in Oman. Data of this study revealed that 21% of cases and 12 % of their gender and age matched controls were breastfed for an average duration of 6-12 months. In 75% of the cases and 81% of controls the period of breastfeeding was between 12-24 months. Only 4% of the cases and 7% of controls were breastfed for a period more than 24 months. No significant (P>0.05) differences were observed between the cases and controls with respect to breastfeeding and the risk of childhood leukemia in Oman. Similarly the duration of breast feeding did not have any significant (P>0.05) effect on the risk. This study indicated that duration of breastfeeding was not associated with risk of childhood leukemia in Oman and there may be some other environmental and genetic factors that might be responsible for the occurrence of this disease that must be explored further.Asian Pacific journal of cancer prevention: APJCP 01/2011; 12(8):2087-91. · 2.51 Impact Factor