Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-23T21:21:22.911Z Has data issue: false hasContentIssue false

Cross-cultural adaptation and validation of a questionnaire on eating habits and physical activity of university students in confinement due to coronavirus disease

Published online by Cambridge University Press:  31 March 2022

Sebastian Cofre
Affiliation:
Escuela de Nutrición y Dietética, Facultad de Ciencias de la Salud, Universidad Católica Del Maule, Talca, Chile
Victoria Perez
Affiliation:
Escuela de Nutrición y Dietética, Facultad de Ciencias de la Salud, Universidad Católica Del Maule, Talca, Chile
Nicole Giuras
Affiliation:
Escuela de Nutrición y Dietética, Facultad de Ciencias de la Salud, Universidad Católica Del Maule, Talca, Chile
Jose L Pino
Affiliation:
Escuela de Nutrición y Dietética, Facultad de Salud, Universidad Santo Tomás, Chile
Claudio Diaz
Affiliation:
Escuela de Trabajo Social, Facultad de Ciencias Sociales y Económicas, Universidad Católica Del Maule, Talca, Chile
Graciela Arguello*
Affiliation:
Escuela de Nutrición y Dietética, Facultad de Ciencias de la Salud, Universidad Católica Del Maule, Talca, Chile Department of Health Sciences, Nutrition and Dietetics Career, Faculty of Medicine, Pontificia, Universidad Católica de Chile, Santiago, Chile
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Objective:

The purpose of the current study was to cross-culturally adapt and validate an online questionnaire to assess eating habits and physical activity of university students under confinement due to coronavirus disease (COVID-19).

Design:

Generation of a cross-sectional online survey to university students conducted during confinement due to COVID-19. The study was divided into two phases.

Settings:

Students, Chile.

Participants:

Phase 1 considered the process of translation and back translation, expert panel, cultural adaptation and the generation of a pilot to validate a preliminary format of the questionnaire. In Phase 2, information from the instrument was collected from two hundred and sixty-eight university students, ages 16 to 30 years old, with a mean age of 21·6 (3·3) The major proportion of participants were female (82 %).

Results:

The adapted questionnaire was statistically validated in three dimensions: (A) eating habits and behaviours during quarantine, (B) perception of risk and (C) physical activity changes during the quarantine. The reliability of Cronbach’s α for dimensions A, B and C was 0·59, 0·85 and 0·97, respectively. The complete questionnaire obtained 0·61 in internal consistency and 0·61 (0·58–0·67) ICC reliability. A statistically significant positive correlation matrix was observed.

Conclusions:

This questionnaire is a practical tool to obtain accurate information about the relation of COVID-19 confinement on people’s eating habits and physical activity. Therefore, it could contribute to establishing appropriate strategies to prevent negative effects on people’s health.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Nutrition Society

The unprecedented coronavirus disease (COVID-19) pandemic has required health organisms, public health experts and government officials to proceeds several measures to contain the spread of infections and prevent the massive death of the affected population. They have accomplished this by setting up strict quarantines and strengthening health facilities to control the disease until effective vaccines are available(Reference Bedford, Enria and Giesecke1). In several countries, including Chile, the effort to reduce the spread of the COVID-19 virus (SARS-CoV-2) among the younger and adult populations has provoked the extensive closure of schools, colleges, universities and other educational institutions(Reference Nazif-Muñoz, Peña and Oulhote2).

However, although extremely necessary, the first evidence of the confinement impacts shows an increase in people’s stress and anxiety(Reference Ammar, Brach and Trabelsi3), particularly in college students(Reference Cao, Fang and Hou4). Likewise, worsened people’s eating habits and lifestyles have also been observed(Reference Di Renzo, Gualtieri and Pivari5Reference Dunn, Kenney and Fleischhacker7). So, it is likely that unhealthy habits like higher consumption of processed foods with higher energetic content, saturated fats, sugars and refined carbohydrates and easier access(Reference Bhutani and Cooper8), in addition to physical inactivity, anxiety and stress caused by this uncertain and confined scenario, can promote to increasing the prevalence of obesity in the times of COVID-19(Reference Brar, Mansi and Subhro9).

On the other hand, adequate dietary intake and healthy lifestyles may be essential to safeguard against an excessive inflammatory response to SARS-Cov-2 infection, preventing the progress of the infection to severe or improving its result(Reference Messina, Polito and Monda10). As recently debated by the European Society for Clinical Nutrition and Metabolism(Reference Barazzoni, Bischoff and Breda11), the obesity condition is hazardous to the severity of COVID-19. Obesity has emerged as one of the most well-known risk factors increasing disease mortality(Reference Bornstein, Dalan and Hopkins12,Reference Stefan, Birkenfeld and Schulze13) . In this sense, nutritional status, eating habits and physical activity might influence the individual risk for the progression of SARS-CoV-2; however, information is incipient.

To know the potential impact of the COVID-19 outbreak on the eating habits and lifestyles, validated instruments culturally adapted to the local reality(Reference Gjersing, Caplehorn and Clausen14) of each country are needed. This will lead to information for public health decision making and establish appropriate strategies in future re-emerging outbreaks. Therefore, the current study is aimed to carry out cross-cultural adaptation and validate an English-to-Spanish questionnaire on the eating habits and physical activity of university students under confinement due to COVID-19 pandemic.

Methods

Study design

The present cross-sectional online study was developed in two phases: phase 1 considered the process of translation and back translation, expert panel, cultural adaptation and the generation of a pilot to validate a preliminary format of the questionnaire and the phase 2 consisted in the verification of the validity trough determining the metric properties of the scale.

Phase 1: cross-cultural adaptation questionnaire

The original questionnaire called ‘Dietary choices and habits during COVID-19 Lockdown’ was developed by Sidor et al. (Reference Sidor and Rzymski15) in Poland in the English language. The method of translation was performed by ten bilingual dietitians committee, who translated the original English version of the questionnaire to a Spanish version. This committee compared the consistency and the adaptation of the questions and answers. The conceptual equivalence was evaluated with a Likert scale from 1 to 7, where 1 was ‘Very understandable/Very equivalent’ and 7 was “Poorly understandable/not equivalent considered the participation. Subsequently, two independent evaluators carried out the back translation of the instrument to identify possible errors in the items of the preliminary questionnaire. Another committee, composed of four experts from the area of eating behaviour, critically analysed the resulting instrument, verifying the cultural relevance and construct validity for the target population.

Afterward, a pilot study of the online questionnaire was carried out through the Google Form platform. Sixty university students from the Faculty of Health Sciences evaluated face validity, cultural adaptation and instrument relevance. The students also verified the feasibility of applicability and comprehension of the text. Finally, with the data collected and the observations made, the instrument’s final version was adjusted and applied. This process is presented in Fig. 1.

Fig. 1 The process of cross-cultural adaptation

Phase 2: reliability and validity of the questionnaire

It is important to highlight that the original questionnaire does not declare a reliability analysis. The questionnaire adapted to the Spanish language included two parts: (1) questions related with the symptoms, contact and hospitalisation for COVID-19 and (2) Questionnaire composed of three dimensions on eating habits, fear of contact with food and physical activity during confinement.

The part 1 relationship was not subjected to consistency analysis, since it only relates to the absence or presence of symptoms, signs or hospitalisation related to COVID-19.

The procedure of the reliability evaluation of part 2 is presented below:

(A) Eating habits and behaviours during quarantine

In total, nineteen answers reported the eating habits and conduct during the quarantine due to COVID-19. A daily number of meals and snacks consumed, cooking practices, the frequency of consumption of selected food products (fruits, fresh vegetables, legumes, grains, meat products, dairy products, fast foods, processed foods, sweets and salty snacks) and the frequency of breakfast consumption. The responses were rated on a Likert scale.

(B) Perception of risk

This dimension considered two questions about the identification of the level of fear of getting infected by SARS-CoV-2 during grocery shopping and through contact with food products. The responses were rated on a Likert scale.

(C) Physical activity

Two questions that indicate the level of physical activity development during quarantine: (i) please indicate if you have done any physical activity during the quarantine and (ii) if you have been physically active during quarantine, please indicate how often you have done. The responses were rated on a Likert scale.

The link to the instrument was sent by mass email. The data were conducted through the Google Form platform for 3 weeks from 24 August 2020 to 11 September 2020. The data collection process was anonymous to guarantee the participants’ health safety in pandemic conditions.

Sample

To evaluate the metric properties (reliability and validity) of the Spanish version of the questionnaire, the sample size was calculated based on the recommendations of Streiner et al. (Reference Streiner and Kottner16) An instrument was applied whose sample was non-probabilistic for convenience, since it is a sample that allows the selection of those accessible cases that agree to be included(Reference Otzen and Manterola17). This fundamental in the convenient accessibility and proximity of the subjects. In our case, the information gathering strategy turned out to be relevant because the instrument disseminated by e-mail and social networks gave us an amount of sample defined by the voluntary nature of its application. The eligibility criteria applied were students enrolled in the four university faculties: Health of Sciences, Education, Medicine and Agricultural and Forestry Sciences. These four faculties gave their explicit intention to participate in the current study. Finally, the questionnaire was applied, and the feedback was consolidated, analysed and discussed by the research team.

Statistical analysis

Descriptive statistics were applied to categorical variables and expressed as frequencies and percentages. The quantitative variables were expressed as means and standard deviations.

For the reliability of agreement in translation and back translation was calculated Fleiss’ κ and Cohen’s κ, respectively. The reliability was analysed following two approaches: the internal consistency was evaluated using Cronbach’s α, and intraobserver reliability was considered the agreement of the values between the cases themselves was established with the intraclass correlation coefficient (ICC) with a mixed random model of two factors for a consistency-type index for each dimension. As a rule of thumb, the coefficient for Cronbach’s α was interpreted following George and Mallery criteria, that is to say, <0·5 ‘Unacceptable’; >0·5 ‘Poor’; >0·6 ‘Moderate’; >0·7 ‘Acceptable’; >0·8 ‘Good’; >0·9 ‘Excellent’(Reference Gliem and Gliem18). For the ICC was considered, values < 0·5 are indicative of ‘Poor reliability’, values between 0·5 and 0·75 indicate ‘Moderate reliability’, values between 0·75 and 0·9 indicate ‘Good reliability’ and values greater than 0·90 indicate ‘Excellent reliability’(Reference Koo and Li19). P values <0 05 were considered as significant. The data analyses were performed using SPSS Statistics for Windows, Version 19.0 (IBM Corp.).

Results

Cross-cultural adaptation process

The results of the translation of the questionnaire are presented in Table 1. The mean of interpretability and conceptual equivalence for the dimensions A, B and C were 1·97, 1·20 and 1·0, respectively. The statistic Fleiss κ was 0·86 between the evaluators.

Table 1 Results of average interpretability and conceptual equivalence reported by ten bilingual dietitians in the translation process

In the back translation process, a concordance agreement was applied where 92 % was obtained among the evaluators. In the case of κ Cohen´s obtained was 0·77. In the pilot study, the students showed an adequate understanding and face validity of the instruments, highlighting being friendly and understandable to answer.

Demographic characteristics

Two hundred and sixty-eight university students participated in the validation of the instrument according to eligibility criteria. The summary of demographic characteristics is presented in Table 2. A mean age of 21·6 (3·3) years was obtained, observing greater participation in women (82 %). According to their geographical distribution, there is a higher frequency of participants from the country’s middle area, representing 94·7 %. Concerning their membership to the university faculties, a higher percentage of students that participated are from the Faculty of Health Sciences (51·1 %), followed by Education (26·8 %), Medicine (14·5 %) and the Faculty of Agricultural and Forestry Sciences (7·4 %).

Table 2 Demographic breakdown of surveyed participants

Values are presented as mean and sd or numbers and percentages.

Regarding the time of quarantine, a mean of 21·1 (20·5) weeks was observed, with the mean confinement being higher in the group of women (21·7 weeks).

The self-report of body weight was higher in men with 76·0 (13·1) g compared with women with 65·8 (14·0) kg. It was observed greater malnutrition was reported in the female group (overweight 23·8 % and obesity 14·5 %). It is important to note that according to the self-report, 50 % of the students possess a normal nutritional status according to the BMI.

Psychometric properties

Table 3 shows the analysis of the internal consistency or reliability of the questionnaire.

Table 3 Internal consistency of the questionnaire

P < 0·001.

Dimension A presented a Cronbach’s α of 0·59. No questions were excluded from this analysis. Alpha’s value raised to 0·60 by eliminating the question oriented to fruit consumption (Q7), but its elimination is not justified given the nutritional importance of the question. The intraclass correlation was 0·59 (0·52–0·66).

In the case of dimension B (Q21–Q22), related with the perception of risk when buying food, showed a Cronbach’s α of 0·85. and ICC 0·73 (0·67–0·78).

Finally, dimension C (Q23–Q24), related with of level of physical activity during confinement, presented a Cronbach’s α of 0·97 and ICC 0·94 (0·92–0·95). Eliminating any of these elements lowers the Cronbach’s α value below 0·5, so the instrument presented an α of 0·61. The part I (COVID-19 relationship) was not subjected to consistency analysis, since it only relates to the absence or presence of symptoms related to COVID-19. Part 1 of the questionnaire asked about symptoms, contact and hospitalisation for COVID-19, they were not subjected to reliability analysis because they were dichotomous questions.

A significant positive correlation was identified between the dimensions A, B and C (r = 0·21, P < 0·01), that is, the higher the perception of changes, the higher the score in the dimension eating habits and behaviours in the pandemic, as shown in Table 4. It is relevant to mention that two of the three dimensions presented high and significant correlations with the dimensions total score; however, among them the correlations were low.

Table 4 Correlation matrix of the questionnaire domains

R = 0·21.

Discussion

Among the main findings observed, we found that the validated instrument seems to have adequate reliability to evaluate the eating habits and physical activity of university students during confinement due to COVID-19. Current literature analyses the relation of COVID-19 on the population; however, few studies indicate any cultural adaptation, validity and reliability of the instrument applied. The use of validated instruments culturally adapted to each country’s local reality allows obtaining sensitive, specific and reproducible data to make decisions. In this direction, applied studies in university students have shown that psychometric instruments’ validation allows an adequate evaluation of eating behaviour and lifestyle(Reference Kumari, Ranjan and Vikram20,Reference Duong, Pham and Do21) . Studies related to health and eating habits in university students generally obtained an important female participation, as has been shown in the studies by Musaiger et al. (Reference Musaiger, Awadhalla and Al-Mannai22) (85 % female participation), Yahia et al. (Reference Yahia, Wang and Rapley23) (73 %) and Nastaskin et al. (Reference Nastaskin and Fiocco24) (83 %) among others, perhaps related to the fact that women have more health problems than men, are more oriented toward prevention and health education(Reference Stoverinck, Lagro-Janssen and Weel25) and, in opposite they may be influenced by external factors when making decisions related to health, so women may be more interested in health and nutrition than men.

First studies show that COVID-19 confinement and measures of its containment have a significant impact on the population’s lifestyle-related behaviour, particularly reducing physical activity and changing eating habits(Reference Chopra, Ranjan and Malhotra26,Reference Galali27) . This situation is critical considering the current obesity epidemic(Reference Romero-Blanco, Rodríguez-Almagro and Onieva-Zafra28,Reference Sanchis-Gomar, Lavie and Mehra29) .

In the current study, we translated to Spanish the English language questionnaire of Sidor et al. (Reference Sidor and Rzymski15), with no previous validation and we culturally adapted it to Chilean reality. This questionnaire demonstrated moderate reliability in university students, considering the Cronbach’s α of 0·61 for the first statistical validation of the instrument. Some authors suggest that in the first phases of the investigation, α values between 0·5 and 0·6 may be sufficient so that later other research groups test and refine the instrument(Reference Huh, Delorme and Reid30,Reference Nunnally and Bernstein31) . So too, ICC obtained a 0·61 (0·58–0·67) reporting, in the same direction of internal consistency, a moderate reliability in intraobserver evaluation.

The present questionnaire is a short, concise and user-friendly tool possible to be completed in 10 to 15 min, avoiding respondents’ lack of patience and, consequently, inaccuracy in the assessment. It consists of three dimensions covering all critical information required to assess the participants’ eating habits (intake, meal pattern and snack consumption) and physical activity.

This study’s limitations are reporting bias due to the web-based survey, social desirable bias, memory bias and inability to determine the concurrent and predictive validity, which would require a long-term follow-up. Another attribute is that this questionnaire would only be applicable to a population with similar characteristics to those of the characterised sample(Reference Althubaiti32), being an important characteristic to be considered by other researchers who wish to replicate the current study. It is reinforced the potential to assess the eating habits and physical activity-related behaviour of university students during the COVID-19 pandemic in Chile and Spanish-speaking countries. Overall, the questionnaire applied in the current study was shown to be reproducible and valid.

Conclusions

This questionnaire is a practical tool to obtain accurate information about the relation of COVID-19 confinement on people’s eating habits and physical activity. Therefore, it could contribute to establishing appropriate strategies to prevent negative effects on people’s health.

Acknowledgements

Acknowledgements: The authors would like to thank the Alexandra Sidor team research for their willingness and generosity in accepting the adaptation and validation of the original instrument. The authors want to thank bilingual dietitians for English language revisions, and finally, they want to thanks all of the university students for their contribution to this Project. Financial support: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. Authorship: The author contributions were conceptualisation, G.A. and N.G.; methodology, S.C. and V.P.; formal analysis of data, J.L.P. and C.D.; writing – original draft preparation G.A.; review and editing, S.C. Ethics of human subject participation: The current study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving research study participants were approved by the Comité Etico Científico (Number 143-2020) of Universidad Católica Del Maule. Written informed consent was obtained from all subjects.

Conflict of interest:

There are no conflicts of interest.

Supplementary material

For supplementary material accompanying this paper visit https://doi.org/10.1017/S1368980022000805

References

Bedford, J, Enria, D, Giesecke, J et al. (2020) COVID-19: towards controlling of a pandemic. Lancet 395, 10151018.CrossRefGoogle ScholarPubMed
Nazif-Muñoz, J, Peña, S & Oulhote, Y (2021) The global viralization of policies to contain the spreading of the COVID-19 pandemic: analyses of school cosures and first reported cases. PLoS ONE 16, e0248828.CrossRefGoogle ScholarPubMed
Ammar, A, Brach, M, Trabelsi, K et al. (2020) Effects of COVID-19 home confinement on eating behaviour and physical activity: results of the ECLB-COVID19 international online survey. Nutrients 12, 1583.CrossRefGoogle ScholarPubMed
Cao, W, Fang, Z, Hou, G et al. (2020) The psychological impact of the COVID-19 epidemic on college students in China. Psychiatr Res 287, 112934.CrossRefGoogle ScholarPubMed
Di Renzo, L, Gualtieri, P, Pivari, F et al. (2020) Eating habits and lifestyle changes during COVID-19 lockdown: an Italian survey. J Translat Med 18, 229.CrossRefGoogle Scholar
Rodríguez-Pérez, C, Molina-Montes, E, Verardo, V et al. (2020) Changes in dietary behaviours during the COVID-19 outbreak confinement in the Spanish COVIDiet study. Nutrients 12, 1730.CrossRefGoogle ScholarPubMed
Dunn, CG, Kenney, E, Fleischhacker, SE et al. (2020) Feeding low-income children during the COVID-19 pandemic. N Engl J Med 382, e40.CrossRefGoogle ScholarPubMed
Bhutani, S & Cooper, JA (2020) COVID-19–related home confinement in adults: weight gain risks and opportunities. Obesity 28, 15761577.CrossRefGoogle ScholarPubMed
Brar, LN, Mansi, P, Subhro, B et al. (2020) Impact of lockdown due to COVID-19 outbreak: lifestyle changes and public health concerns in India. Preprints 2020, 2020060129.Google Scholar
Messina, G, Polito, R, Monda, V et al. (2020) Functional role of dietary intervention to improve the outcome of COVID-19: a hypothesis of work. Int J Mol Sci 21, 3104.CrossRefGoogle Scholar
Barazzoni, R, Bischoff, SC, Breda, J et al. (2020) ESPEN expert statements and practical guidance for nutritional management of individuals with SARS-CoV-2 infection. Clin Nutr 39, 16311638.CrossRefGoogle ScholarPubMed
Bornstein, SR, Dalan, R, Hopkins, D et al. (2020) Endocrine and metabolic link to coronavirus infection. Nat Rev Endocrinol 16, 297298.CrossRefGoogle ScholarPubMed
Stefan, N, Birkenfeld, AL, Schulze, MB et al. (2020) Obesity and impaired metabolic health in patients with COVID-19. Nat Rev Endocrinol 16, 341342.CrossRefGoogle ScholarPubMed
Gjersing, L, Caplehorn, JR & Clausen, T (2010) Cross-cultural adaptation of research instruments: language, setting, time and statistical considerations. BMC Med Res Methodol 10, 13.CrossRefGoogle ScholarPubMed
Sidor, A & Rzymski, P (2020) Dietary choices and habits during COVID-19 lockdown: experience from Poland. Nutrients 12, 1657.CrossRefGoogle ScholarPubMed
Streiner, DL & Kottner, J (2014) Recommendations for reporting the results of studies of instrument and scale development and testing. J Adv Nurs 70, 19701979.CrossRefGoogle ScholarPubMed
Otzen, T & Manterola, C (2017) Sampling techniques on a population study. Int J Morphol 35, 227232.CrossRefGoogle Scholar
Gliem, JA & Gliem, RR (2003) Calculating, Interpreting, Andreporting Cronbach’s α Reliability Coefficient for Likert-Typescales. Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education. https://scholarworks.iupui.edu/handle/1805/344 (accesed August 2020).Google Scholar
Koo, TK & Li, MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15, 155163.CrossRefGoogle ScholarPubMed
Kumari, A, Ranjan, P, Vikram, NK et al. (2020) A short questionnaire to assess changes in lifestyle-related behaviour during COVID 19 pandemic. Diabetes Metab Syndr 14, 16971701.CrossRefGoogle Scholar
Duong, TV, Pham, KM, Do, BN et al. (2020) Digital healthy diet literacy and self-perceived eating behavior change during COVID-19 pandemic among undergraduate nursing and medical students: a rapid online survey. Int J Environ Res Public Health 17, 7185.Google ScholarPubMed
Musaiger, AO, Awadhalla, MS, Al-Mannai, M et al. (2017) Dietary habits and sedentary behaviors among health science university students in Bahrain. Int J Adolesc Med Health 29, 2.CrossRefGoogle ScholarPubMed
Yahia, N, Wang, D, Rapley, M et al. (2015) Assessment of weight status, dietary habits and beliefs, physical activity, and nutritional knowledge among university students. Perspect Public Health 136, 231244.CrossRefGoogle ScholarPubMed
Nastaskin, R & Fiocco, A (2015) A survey of diet self-efficacy and food intake in students with high and low perceived stress. Nutr J 14, 42.CrossRefGoogle ScholarPubMed
Stoverinck, M, Lagro-Janssen, A & Weel, C (1996) Sex differences in health problems, diagnostic testing, and referral in primary care. J Fam Pract 43, 567576.Google ScholarPubMed
Chopra, S, Ranjan, P, Malhotra, A et al. (2020) Development and validation of a questionnaire to evaluate the impact of COVID-19 on lifestyle-related behaviours: eating habits, activity and sleep behaviour. Public Health Nutr 24, 116.Google ScholarPubMed
Galali, Y (2021) The impact of COVID-19 confinement on the eating habits and lifestyle changes: a cross-sectional study. Food Sci Nutr 9, 21052113.CrossRefGoogle ScholarPubMed
Romero-Blanco, C, Rodríguez-Almagro, J, Onieva-Zafra, MD et al. (2020) Physical activity and sedentary lifestyle in university students: changes during confinement due to the COVID-19 pandemic. Int J Environ Res Public Health 17, 6567.CrossRefGoogle ScholarPubMed
Sanchis-Gomar, F, Lavie, CJ, Mehra, MR et al. (2020) Obesity and outcomes in COVID-19: when an epidemic and pandemic collide. Mayo Clin Proc 95, 14451453.CrossRefGoogle ScholarPubMed
Huh, J, Delorme, DE & Reid, LN (2006) Perceived third-person effects and consumer attitudes on preventing and banning DTC advertising. J Consum Aff 40, 90116.Google Scholar
Nunnally, J & Bernstein, I (1994) Book Review. Psychometric Theory, 3rd ed. New York: McGraw-Hill.Google Scholar
Althubaiti, A (2016) Information bias in health research: definition, pitfalls, and adjustment methods. J Multidiscip Healthc 9, 211217.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1 The process of cross-cultural adaptation

Figure 1

Table 1 Results of average interpretability and conceptual equivalence reported by ten bilingual dietitians in the translation process

Figure 2

Table 2 Demographic breakdown of surveyed participants

Figure 3

Table 3 Internal consistency of the questionnaire

Figure 4

Table 4 Correlation matrix of the questionnaire domains

Supplementary material: PDF

Cofre et al. supplementary material

Cofre et al. supplementary material

Download Cofre et al. supplementary material(PDF)
PDF 332.8 KB