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  • 1.
    Bonn, Stephanie Erika
    et al.
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Lagerros, Ylva Trolle
    Karolinska Inst, Dept Med, Clin Epidemiol Unit, SE-17177 Stockholm, Sweden..
    Bälter, Katarina
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    How Valid are Web-Based Self-Reports of Weight?2013Ingår i: Journal of Medical Internet Research, ISSN 1438-8871, E-ISSN 1438-8871, Vol. 15, nr 4, artikel-id UNSP e52Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Background: Many studies rely on self-reported anthropometric data. While paper-based self-reports have been the standard collection mode, the number of studies collecting self-reported data via the Web is increasing rapidly. Although numerous studies have shown good agreement between self-reported and measured weight using paper-based questionnaires, the validity of using the Web to inquire about weight is unknown. Objective: The objective of this study was to validate Web-based self-reports of bodyweight compared to weight measured at the study center. Methods: The validity of weight self-reported via the Web was assessed by comparing self-reports against measurements of weight in a convenience sample of 149 individuals (77.2% women, 115/149), aged 20-65 years. Study participants self-reported their weight via a Web-based questionnaire and thereafter had their weight measured in the research center. Results: The Spearman correlation coefficient between self-reported and measured weight was 0.98 (P<.001). The mean difference between self-reported and measured weight was -1.2 (SD 2.6) kg. There was a statistically significant difference between self-reported and measured weight with the self-reported being lower (P<.001). Subjects with a body mass index (BMI) >= 25 kg/m(2), and subjects >= 30 years of age, under-reported their weight statistically significantly more than subjects with a BMI <25 kg/m(2), and subjects <30 years of age, respectively. Conclusions: Our results show that self-reported weight via the Web can be a valid method of data collection.

  • 2.
    Bonn, Stephanie Erika
    et al.
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Lagerros, Ylva Trolle
    Karolinska Inst, Clin Epidemiol Unit, Dept Med, SE-17177 Stockholm, Sweden..
    Christensen, Sara Elisabeth
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Moller, Elisabeth
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Wright, Antony
    MRC, Cambridge, England..
    Sjolander, Arvid
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Bälter, Katarina
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Active-Q: Validation of the Web-Based Physical Activity Questionnaire Using Doubly Labeled Water2012Ingår i: Journal of Medical Internet Research, ISSN 1438-8871, E-ISSN 1438-8871, Vol. 14, nr 1, artikel-id e29Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Background: Increased use of the Internet provides new opportunities for collecting data in large studies. The aim of our new Web-based questionnaire, Active-Q, is to assess total physical activity and inactivity in adults. Active-Q assesses habitual activity during the past year via questions in four different domains: (1) daily occupation, (2) transportation to and from daily occupation, (3) leisure time activities, and (4) sporting activities. Objective: The objective of our study is to validate Active-Q's energy expenditure estimates using the doubly labeled water (DLW) method, and to assess the reproducibility of Active-Q by comparing the results of the questionnaire completed by the same group on two occasions. Methods: The validity and reproducibility of Active-Q were assessed in a group of 37 individuals, aged 20 to 65 years. Active-Q was distributed via email to the participants. The total energy expenditure of the participants was assessed using DLW for 11 consecutive days. Results: The median time to complete Active-Q was 6.1 minutes. The majority of participants (27/37, 73%) reported that the questionnaire was "easy" or "very easy" to answer. On average, Active-Q overestimated the total daily energy expenditure by 440 kJ compared with the DLW. The Spearman correlation between the two methods was r = 0.52 (P < .001). The intraclass correlation coefficient for total energy expenditure between the results of Active-Q completed on two occasions was 0.83 (95% CI 0.73-0.93). Conclusions: Active-Q is a valid and reproducible method of assessing total energy expenditure. It is also a user-friendly method and suitable for Web-based data collection in large epidemiological studies.

  • 3.
    Christensen, Sara E.
    et al.
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Moller, Elisabeth
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Bonn, Stephanie E.
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Ploner, Alexander
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Balter, Olle
    KTH Royal Inst Technol, Sch Comp Sci & Commun, Stockholm, Sweden..
    Lissner, Lauren
    Univ Gothenburg, Dept Publ Hlth & Community Med, Gothenburg, Sweden..
    Bälter, Katarina
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Relative Validity of Micronutrient and Fiber Intake Assessed With Two New Interactive Meal- and Web-Based Food Frequency Questionnaires2014Ingår i: Journal of Medical Internet Research, ISSN 1438-8871, E-ISSN 1438-8871, Vol. 16, nr 2, artikel-id e59Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Background: The meal-and Web-based food frequency questionnaires, Meal-Q and MiniMeal-Q, were developed for cost-efficient assessment of dietary intake in epidemiological studies. Objective: The objective of this study was to evaluate the relative validity of micronutrient and fiber intake assessed with Meal-Q and MiniMeal-Q. The reproducibility of Meal-Q was also evaluated. Methods: A total of 163 volunteer men and women aged between 20 and 63 years were recruited from Stockholm County, Sweden. Assessment of micronutrient and fiber intake with the 174-item Meal-Q was compared to a Web-based 7-day weighed food record (WFR). Two administered Meal-Q questionnaires were compared for reproducibility. The 126-item MiniMeal-Q, developed after the validation study, was evaluated in a simulated validation by using truncated Meal-Q data. Results: The study population consisted of approximately 80% women (129/163) with a mean age of 33 years (SD 12) who were highly educated (130/163, 80% with >12 years of education) on average. Cross-classification of quartiles with the WFR placed 69% to 90% in the same/adjacent quartile for Meal-Q and 67% to 89% for MiniMeal-Q. Bland-Altman plots with the WFR and the questionnaires showed large variances and a trend of increasing underestimation with increasing intakes. Deattenuated and energy-adjusted Spearman rank correlations between the questionnaires and the WFR were in the range rho=.25-.69, excluding sodium that was not statistically significant. Cross-classifications of quartiles of the 2 Meal-Q administrations placed 86% to 97% in the same/adjacent quartile. Intraclass correlation coefficients for energy-adjusted intakes were in the range of .50-.76. Conclusions: With the exception of sodium, this validation study demonstrates Meal-Q and MiniMeal-Q to be useful methods for ranking micronutrient and fiber intake in epidemiological studies with Web-based data collection.

  • 4.
    Christensen, Sara E.
    et al.
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Moller, Elisabeth
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Bonn, Stephanie E.
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Ploner, Alexander
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Wright, Antony
    UK Med Res Council, MRC Collaborat Ctr Human Nutr Res, Cambridge, England..
    Sjolander, Arvid
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Balter, Olle
    KTH Royal Inst Technol, Sch Comp Sci & Commun, Stockholm, Sweden..
    Lissner, Lauren
    Univ Gothenburg, Dept Publ Hlth & Community Med, Gothenburg, Sweden..
    Bälter, Katarina
    Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden..
    Two New Meal- and Web-Based Interactive Food Frequency Questionnaires: Validation of Energy and Macronutrient Intake2013Ingår i: Journal of Medical Internet Research, ISSN 1438-8871, E-ISSN 1438-8871, Vol. 15, nr 6, artikel-id UNSP e109Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Background: Meal-Q and its shorter version, MiniMeal-Q, are 2 new Web-based food frequency questionnaires. Their meal-based and interactive format was designed to promote ease of use and to minimize answering time, desirable improvements in large epidemiological studies. Objective: We evaluated the validity of energy and macronutrient intake assessed with Meal-Q and MiniMeal-Q as well as the reproducibility of Meal-Q. Methods: Healthy volunteers aged 20-63 years recruited from Stockholm County filled out the 174-item Meal-Q. The questionnaire was compared to 7-day weighed food records (WFR; n=163), for energy and macronutrient intake, and to doubly labeled water (DLW; n=39), for total energy expenditure. In addition, the 126-item MiniMeal-Q was evaluated in a simulated validation using truncated Meal-Q data. We also assessed the answering time and ease of use of both questionnaires. Results: Bland-Altman plots showed a varying bias within the intake range for all validity comparisons. Cross-classification of quartiles placed 70%-86% in the same/adjacent quartile with WFR and 77% with DLW. Deattenuated and energy-adjusted Pearson correlation coefficients with the WFR ranged from r=0.33-0.74 for macronutrients and was r=0.18 for energy. Correlations with DLW were r=0.42 for Meal-Q and r=0.38 for MiniMeal-Q. Intraclass correlations for Meal-Q ranged from r=0.57-0.90. Median answering time was 17 minutes for Meal-Q and 7 minutes for MiniMeal-Q, and participants rated both questionnaires as easy to use. Conclusions: Meal-Q and MiniMeal-Q are easy to use and have short answering times. The ranking agreement is good for most of the nutrients for both questionnaires and Meal-Q shows fair reproducibility.

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