scholarly journals Geographical Variation in Nutrient Intake between Urban and Rural Areas of Jiangsu Province, China and Development of a Semi-Quantitative Food Frequency Questionnaire for Middle-Aged Inhabitants

2003 ◽  
Vol 13 (2) ◽  
pp. 80-88 ◽  
Author(s):  
Ying-Ming Wang ◽  
Bao-Qing Mo ◽  
Toshiro Takezaki ◽  
Nahomi Imaeda ◽  
Mieko Kimura ◽  
...  
Keyword(s):  
Food Frequency Questionnaire ◽  
Rural Areas ◽  
Nutrient Intake ◽  
Geographical Variation ◽  
Jiangsu Province ◽  
Middle Aged ◽  
Food Frequency ◽  
Urban And Rural Areas

scholarly journals Validation of Energy and Nutrition Intake in Japanese Elderly Individuals Estimated Based on a Short Food Frequency Questionnaire Compared against a 7-day Dietary Record: The Kyoto-Kameoka Study

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 688 ◽  
Author(s):  
Daiki Watanabe ◽  
Hinako Nanri ◽  
Tsukasa Yoshida ◽  
Miwa Yamaguchi ◽  
Mayu Sugita ◽  
...  
Keyword(s):  
Food Frequency Questionnaire ◽  
Nutrient Intake ◽  
Correlation Coefficients ◽  
Middle Aged ◽  
Food Frequency ◽  
Elderly Individuals ◽  
Dietary Record ◽  
Dietary Records ◽  
Japanese Elderly ◽  
Energy And Nutrient Intake

To determine the association between geriatric disorders and dietary intake, validation of a food frequency questionnaire (FFQ) for elderly individuals is needed. We compared energy and nutrient intakes derived from dietary records (DR) and FFQ in an elderly population and compared the data against results from middle-aged individuals (30–68 years) from a previous study. Current participants included 65 women and 78 men (65–88 years) who completed FFQ and 7-day DR in a subpopulation of the Kyoto-Kameoka study. Our FFQ was created for middle-aged individuals. To validate the FFQ, we investigated equivalent precision by comparing the correlation coefficients between the present and previous study. Median correlations for energy and nutrient intake between the DR and FFQ in the current and previous studies were 0.24 and 0.30 (p = 0.329) in women and 0.24 and 0.28 (p = 0.399) in men, respectively. The median ratio of FFQ to DR for these intakes were also similar. The accuracy and precision of the FFQ for energy and nutrient intake in elderly individuals did not differ compared with previous findings in a middle-aged population. A validation study evaluating energy and nutrient intake using recovery biomarkers is further needed.

scholarly journals Relative Validity of a Short Food Frequency Questionnaire for Assessing Nutrient Intake versus Three-day Weighed Diet Records in Middle-aged Japanese

2005 ◽  
Vol 15 (4) ◽  
pp. 135-145 ◽  
Author(s):  
Yuko Tokudome ◽  
Chiho Goto ◽  
Nahomi Imaeda ◽  
Takako Hasegawa ◽  
Rieko Kato ◽  
...  
Keyword(s):  
Food Frequency Questionnaire ◽  
Nutrient Intake ◽  
Middle Aged ◽  
Food Frequency ◽  
Relative Validity ◽  
Diet Records

scholarly journals Development and Validation of a Food Frequency Questionnaire for Population of Adolescents in Croatia

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Ana Močić Pavić ◽  
Sara Sila ◽  
Tena Niseteo ◽  
Iva Hojsak ◽  
Sanja Kolaček
Keyword(s):  
Food Frequency Questionnaire ◽  
Rural Areas ◽  
Nutrient Intake ◽  
Correlation Coefficients ◽  
Reference Method ◽  
Epidemiologic Studies ◽  
Nutritional Intake ◽  
Food Record ◽  
Anthropometric Parameters ◽  
Food Frequency

Research background. Food frequency questionnaire (FFQ) is an important method for estimation of dietary intake in epidemiologic studies. The aim of the study was to develop FFQ and evaluate its relative validity for adolescents aged 12 to 18 years old. Experimental approach. FFQ was developed from previously validated Youth/Adolescent diet questionnaire (YAQ) by modifying it in order to include Croatian national foods. The final version of the FFQ (FFQ-m) was composed of 87 food items. The reference method was a set of two 3 day food records (3D-FR) administered twice during the 3 non-consecutive days, one month apart. The FFQ-m was administered approximately on the last day of the second applied dietary food record. Adolescents were recruited from randomly selected elementary and high schools in urban and rural areas of Croatia. FFQ-m was validated on a sample of 84 adolescents (70.2 % female). Nutritional intake from FFQ-m was analysed by Microsoft Office Excel 2007 worksheet derived from the PRODI 5.7 software database, while nutritional intake from 3D-FR was estimated using PRODI 5.7 software. Spearman correlation coefficients (r) and Bland-Altman method were used to assess validity of FFQ-m compared to 3D-FR. Anthropometric parameters were assessed in 78 adolescents. Results and conclusions. The mean nutrient intakes estimated by FFQ-m were higher than those of the 3D-FR. The average correlation coefficients for energy and nutrients in our validation study was 0.40. On average, 76.5 % of adolescents were classified in the same or adjacent quartile of nutrient intake. Bland-Altman analysis showed good agreement with all macronutrients and some micronutrients (sodium, phosphorus, potassium, calcium, magnesium, iron). A simple self-administrated questionnaire completed by adolescents is a valid tool for measuring energy and nutrient intake among adolescent population. Novelty and scientific contribution. This is the first FFQ developed and validated for population of adolescents in Croatia.

scholarly journals Development and testing of a quantitative food frequency questionnaire for use in Kerala, India

1998 ◽  
Vol 1 (2) ◽  
pp. 123-130 ◽  
Author(s):  
James R Hebert ◽  
Prakash C Gupta ◽  
Ramesh B Bhonsle ◽  
PR Murti ◽  
Hemali Mehta ◽  
...  
Keyword(s):  
Food Frequency Questionnaire ◽  
Rural Areas ◽  
Correlation Coefficients ◽  
Regression Analyses ◽  
Food Frequency ◽  
Rural Villages ◽  
Head Of Household ◽  
Male Head ◽  
Health Related ◽  
Study Population

AbstractObjective:To develop and test a food frequency questionnaire (FFQ) for use in rural areas of Kerala, India.Design:Based on food use and market surveys of the study area, a quantitative 81-item interviewer-administered FFQ was developed. A validation study was conducted consisting of 24-h diet recalls (24HR) administered on 8 days randomly selected over an entire year and two administrations of the FFQ, one at the beginning of the l-year period and the other at the end. FFQ and 24HR-derived nutrient scores were compared using correlation and regression analyses and by examining differences in the nutrient scores.Setting:Rural villages in Ernakulum district, Kerala, South India.Subjects:In each of 30 households, the male head of household and female food preparer were enrolled.Results:Pearson (parametric) correlation coefficients (rp) averaged about 0.50 in comparing nutrient scores derived from the 24HR with those from the first FFQ and about 0.55 in comparing the second FFQ. On average, Spearman correlation coefficients (rs) were slightly lower than the rp in comparing the scores derived from the first FFQ, but virtually identical for the second FFQ. Regression analyses indicated better agreement in the comparison of the 24HR-derived scores with the first FFQ than the second FFQ. Difference scores, however, tended to be larger in comparing the first FFQ scores with the 24HR.Conclusions:This FFQ produces results broadly comparable to those used in Europe and North America, indicating its suitability for comparing exposures within a study population in reference to health-related endpoints.

scholarly journals Validation of a Food Frequency Questionnaire Based on Food Groups for Estimating Individual Nutrient Intake.

2001 ◽  
Vol 59 (5) ◽  
pp. 221-232 ◽  
Author(s):  
Keiko Takahashi ◽  
Yukio Yoshimura ◽  
Tae Kaimoto ◽  
Daisuke Kunii ◽  
Tatsushi Komatsu ◽  
...  
Keyword(s):  
Food Frequency Questionnaire ◽  
Nutrient Intake ◽  
Food Groups ◽  
Food Frequency

Development of a Semiquantitative Food Frequency Questionnaire to Assess Food, Energy and Nutrient Intake in Denmark

1991 ◽  
Vol 20 (4) ◽  
pp. 900-905 ◽  
Author(s):  
KIM OVERVAD ◽  
ANNE T JØNNELAND ◽  
JÓHANNA HARALDSDÓTTIR ◽  
MARIANNE EWERTZ ◽  
OLE MØLLER JENSEN
Keyword(s):  
Food Frequency Questionnaire ◽  
Nutrient Intake ◽  
Food Frequency ◽  
Food Energy ◽  
Energy And Nutrient Intake
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