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Article

Attitude towards the Promotion of Healthy Eating among Secondary School Teachers—Construction and Validation of a Questionnaire

by
Almudena Garrido-Fernández
,
Francisca María García-Padilla
,
Juan Diego Ramos-Pichardo
,
Macarena Romero-Martín
,
Elena Sosa-Cordobés
* and
Miriam Sánchez-Alcón
Department of Nursing, University of Huelva, 21071 Huelva, Spain
*
Author to whom correspondence should be addressed.
Nutrients 2022, 14(11), 2271; https://doi.org/10.3390/nu14112271
Submission received: 18 May 2022 / Revised: 23 May 2022 / Accepted: 25 May 2022 / Published: 28 May 2022
(This article belongs to the Section Nutrition and Public Health)
Versions Notes

Abstract

:
Health promotion activities in secondary schools are scarce and have little involvement of the teaching staff. Most often, activities are developed from the curriculum that appears in school materials, with little capacity for adaptation and innovation. The aim of this study was to construct and validate a tool to find out teachers’ attitudes towards activities to promote healthy eating in secondary schools. For this purpose, a descriptive study was conducted. The total sample of the study consisted of 200 teachers from secondary schools. Internal consistency was determined by Cronbach’s alpha coefficient globally and by dimension, and with the corrected item–test correlation. The construct validity of the questionnaire was assessed by means of an exploratory factor analysis, for which the principal components method with Varimax rotation was used. A Likert-type scale with nine items and four response options about attitude was designed. The exploratory factor analysis showed a nine-factor solution, of which two had eigenvalues greater than 1. These two factors explained 63.4% of the variance. The Cronbach’s alpha internal consistency index obtained for the global scale was 0.81, and 0.75 and 0.85 for each component. The results obtained with this structure confirmed an adequate reliability and validity of the questionnaire.

1. Introduction

Obesity and overweight are currently a major public health problem affecting the population globally, especially younger people. The World Health Organization (WHO) declared childhood obesity as one of the most serious public health challenges of the 21st century, before the advent of COVID-19 [1]. In 2016, 340 million children and adolescents were diagnosed as overweight or obese [2]. Institutions such as schools and secondary schools therefore need to be involved in promoting healthy eating.
WHO suggests putting in place school policies and programmes that promote healthy eating, as well as implementing specific actions for learning cooking and nutrition skills in schools. The organisation recommends involving both families and educators in this task [3]. Nutrition is one of the most relevant aspects of childhood and adolescent care due to its consequences on the overall development of the person [4,5]. Knowing the eating habits of adolescents and finding out whether secondary schools apply an adequate policy should be a priority [2,6].
The transition from primary to secondary school can lead to new habits in adolescents, as they have a greater ability to make unhealthy food choices more autonomously, thus minimizing parental authority in their eating behaviour [5,7,8].
Several studies show that content on healthy eating in secondary school curricula is scarce, and if it exists at all, it plays a negligible part in the curriculum [6,9,10,11,12,13,14]. In addition to few practical activities in schools, different degrees of non-compliance or ignorance of regulations on this issue have also been identified [15]. It is therefore essential to train secondary school teachers in the promotion of healthy eating among students, including the study and improvement of their attitudes towards these activities [6,16,17,18,19].
Improving knowledge, attitudes, and beliefs, as well as behavioural competence and self-efficacy about healthy eating, is often a precursor to behavioural changes [20]. Attitudes are known to influence and guide people’s behaviour. They are involved in determining an individual’s actions and are acquired through our individual and group life experience. They can be stimulated or changed, thus improving a person’s behaviour, and with it their lifestyles [21].
A previous study showed that health promotion activities in secondary schools in Huelva, are scarce and have little involvement of teachers, who are usually more focused on strictly academic activities [6,22]. Most often, activities are developed from the curriculum that appears in the school materials, with little capacity for adaptation and innovation. Therefore, it is necessary to have tools that reveal the attitudes of teachers towards the promotion and healthy eating in students, which will lead to interventions to improve teacher attitudes when necessary, and thus increase the involvement of teachers in the promotion of young people’s health.
The aim of this study was to construct and validate a tool to assess the attitudes of Spanish secondary school teachers towards healthy eating promotion activities in secondary schools.

2. Materials and Methods

The methodology used had two clearly differentiated phases: the construction of the questionnaire and its validation.
For the construction of the questionnaire, the indicators described as criteria for assessing secondary schools as centres for the promotion of healthy eating were taken as a reference [22]. A total of 56 indicators classified into eight categories were agreed upon through a Delphi group, one of these being teacher training, which included six indicators referring to attitudes towards the promotion of healthy eating. An initial questionnaire with nine items on teachers’ attitudes was constructed.
This initial questionnaire was subjected to a content validation process carried out by experts to assess the correspondence of the items in relation to the operational definition of the previously agreed indicators. As a group of experts, three people with the following profiles collaborated: a doctor in health and university lecturer specialized in food, nutrition, and dietetics; a university lecturer specialized in public health and health promotion; and a doctor in pedagogy and secondary education teacher.
The criteria of this group of experts were collected through an ordinal scale that included the following: strongly disagree; somewhat agree; fairly agree; and strongly agree. Aspects regarding the balance of items in relation to their level of relevance and the characteristics of their formulation (length, clarity, lack of double negatives, negative expressions, etc.) were also taken into account. After this evaluation, the list of nine items was maintained, and the items were formulated as statements. Answers were articulated according to the degree of agreement of the respondent with the statement contained in each item, through a Likert scale of response with four options: strongly disagree; somewhat agree; fairly agree; and strongly agree.
The questionnaire was piloted with 10 teachers from the target population to check their understanding of the questions and the functioning of the instrument. Their suggestions led to some corrections and the configuration of the final questionnaire for validation, keeping the nine items of the response scale described above.
For the validation phase, the sample consisted of 200 teachers from 22 secondary schools in the province of Huelva. The schools were randomly selected from a list provided by the Education Office. Subsequently, a visit to the secondary schools was arranged with the management teams by telephone and e-mail.
Once at the centre, the project was explained to the management team and/or guidance counsellor, and if they decided to participate, they were given the questionnaires in paper format. Approximately two weeks later, arrangements were made to collect the questionnaires at the centres.
Voluntary participation was requested from teachers in management positions, tutor teachers, school counsellors, and teachers of subjects whose official curriculum included content on the subject under study, as is the case of biology and physical education. Guidance counsellors were included, as they are responsible for the elaboration of the tutorial action plan, which is subsequently implemented in tutorial sessions and where food contents are included. A total of 200 secondary education teachers completed the questionnaire.
As for data analysis, internal consistency reliability was determined by calculating Cronbach’s alpha coefficient both globally and by dimension, and with the corrected item–test correlation. The construct validity of the questionnaire was assessed through an exploratory factor analysis, for which the principal components method with Varimax rotation was used. The SPSS software (version 26.0; IBM SPSS, Inc., Chicago, IL, USA) was used for data analysis.
This study was approved by the ethics committee of the University of Huelva and obtained the Authorisation of the Delegation of Education of Huelva. The Ministry of Education and Sport also established a collaboration agreement with the University of Huelva for the development of interventions in non-university public teaching centres of the Ministry of Education and Sport. The application of Organic Law 3/2018 of 5 December on the Protection of Personal Data and Guarantee of Digital Rights was guaranteed, not using such data for purposes other than those set out in the objectives and specific purposes of this study. In addition, the study was conducted following ethical principles set out in the Declaration of Helsinki. Participation in the study was free and voluntary. An informed consent model was delivered to the participants, ensuring the confidentiality of the data and their exclusive use for the aim of the study.

3. Results

3.1. Sociodemographic Results

The descriptive data of the sample can be seen in Table 1. The majority of the sample was between 30 and 40 years old. Notably, 57.5% were women and the vast majority (75.5%) had been teaching at the centre for less than 10 years. It should also be noted that 31.5% were part of the management team, 8.5% were counsellors, 37.5% were teachers of physical education or biology, and 23% of the sample consisted of tutors.

3.2. Descriptive Results

Table 2 shows the descriptive data at item level. All items had a mean of more than 3. Item 5 was the one with the highest mean. In all items of the questionnaire, all four response categories were used. The mean obtained for the total attitude was 29.21 (SD = 2.91).

3.3. Validity

The exploratory factor analysis showed a solution of nine factors, of which two presented eigenvalues greater than 1. These two factors explain 63.4% of the variance (Table 3). The factor weights of each item (Table 4) suggested a grouping of items 7, 8, and 9 in one dimension, and items 1 to 5 in another dimension, leaving item 6 with similar weights in both dimensions. Items 7 to 9 refer to attitudes towards participation in specific actions to promote healthy eating, so this dimension has been named proactivity (PRO), while items 1 to 5 refer to issues that generate concern among teachers in relation to student nutrition, so this dimension has been named concern (CON). Item 6, given its wording, has been included in the proactivity dimension, although its factorial weight is somewhat lower. The results per dimension showed a mean of 12.63 (SD = 2.91) for the proactivity dimension and 16.58 (SD = 3.04) for the concern dimension (Table 2).

3.4. Reliability

The Cronbach’s alpha internal consistency index obtained for the overall scale was 0.81, and for each component it was 0.75 and 0.85. Table 5 shows Cronbach’s alpha if each of the items is removed, both overall and for each of the dimensions.
Table 6 shows the corrected item–test correlations both for the overall scale and for each dimension. All items, except item 1 for the total, item 5 for the total, and the proactivity dimension, showed correlations above 0.40, which is the standard above which the correlation is considered satisfactory [23], with items 4 and 8 being the most highly correlated.

4. Discussion

The aim of this study was to develop a questionnaire to find out the attitudes of secondary school teachers towards the promotion of healthy eating in schools.
Childhood obesity remains a major health concern and a public health challenge. The problem has been aggravated by the impact of the COVID-19 pandemic on health systems, the economy, and children’s lifestyles [24]. The confinement imposed to prevent the spread of the virus has made it more difficult to maintain a healthy diet and has reduced the practice of physical activity [25]. Addressing childhood obesity requires a broad strategy involving the patient, family, school, community, and even government for policy changes [26]. For long-term results, interventions are needed that help create an environment and opportunities that make it easier for children to make healthy choices about nutrition and physical activity [27,28].
In this context, it is essential to have assessment scales for healthy lifestyles in children. In line with the scale resulting from this study, valid and reliable scales have been already designed to assess knowledge of healthy lifestyle [29], knowledge of nutrition [30], fruit and vegetable consumption [31], sedentary behaviours [32], habits of personal hygiene [33], oral health [34], or sun exposure [35] among children.
To date, no instruments that measure attitudes towards the promotion of healthy eating among secondary school teachers have been found. However, some that measure attitude or knowledge about eating and physical activity in adolescents and other indicators of healthy lifestyle habits have been identified [36,37,38,39,40,41]. There are also studies that explore knowledge, beliefs, and attitudes in primary and secondary school teachers [42] and in primary school students and families [43] using scales based on the KAP (Knowledge, Attitudes, Practices) model, but they study attitudes towards nutrition in general and not regarding health promotion, which is why the present study contributes with new data.
Regarding the factor structure of the instrument, the results showed two distinct dimensions: proactivity, made up of the four items related to active behaviour, and concern, which encompasses the other five items focused on the concern that the promotion of healthy eating may provoke in the informants. Previous studies have shown that a proactive attitude can lead to better health outcomes and encourage healthy lifestyles [44,45]. In addition, the concern and involvement of teachers has been identified as one of the main components of the implementation of health promotion in schools [46,47].
It should be noted that item 6 showed very similar factorial weights in both factors, but it was decided to include it in the proactivity dimension, since its wording (“I believe that teachers should get involved in promoting healthy eating among students”) makes it more suitable and representative of this dimension.
As for reliability, Cronbach’s alpha indicators and corrected item–test correlations indicated good internal consistency of the questionnaire, both overall and in each of the two dimensions identified in the factor analysis. Given the small size of the proposed questionnaire (nine items) and the small improvement in Cronbach’s alpha if some items were removed, it seems most reasonable to maintain the initially proposed structure of nine items in two dimensions.
Items 1 for the total scale and 5 for the concern dimension raise Cronbach’s alpha if they are removed, but the difference is minimal. As for the item–test correlations, items 1 for the total scale, 5 for the total scale, and the concern dimension, they do not reach the score of 0.40, which is indicated as ideal [23], but they do highlight the good internal consistency when done by dimensions, and they help to maintain a high Cronbach’s alpha, which is why it was decided to keep them in the final questionnaire.
Item 6 slightly raised Cronbach’s alpha in the proactivity dimension if the item was removed, a fact that we expected since, as mentioned when discussing the factor weights, this item was included in this dimension due to the small difference between dimensions and its better fit with the proactivity dimension. Moreover, in the overall scale, we can see how its removal would reduce internal consistency.
The selected sample comes from XXX and the province of XXX, so studies with a larger and more diverse sample would be necessary to verify the universality of the questionnaire.
The promotion of attitudes towards the adoption of healthy behaviours is important for the effective promotion of healthy eating [40,48,49]. In the present study, it can be seen that the general attitude of the studied educational community towards the promotion of healthy eating is positive, both in general and in terms of dimensions. As proposals for future interventions, it is worth highlighting the possibility offered by these results to identify health assets in schools and, therefore, to create relationships, provide resources, and establish interventions to promote healthy eating. On the other hand, given the current high influence of the Internet on children and adolescents, considered digital natives, web-based interventions are suggested, since they have demonstrated effectiveness in several areas [50,51]. We are also in line with previous authors when considering the potential of the web and social networks in health promotion [52], since it is the main medium where children and adolescents seek information to answer their health-related concerns [53,54]. In addition to meeting the need for health information, young consumers gain social and emotional support from peer interactions [55]. This means of communication and health promotion could be especially useful in times of a pandemic, such as the current COVID-19 pandemic, in which attendance and personal contact are forced to be reduced and telematic means become more important [56,57].

5. Conclusions

The results obtained with this structure confirm an adequate reliability and validity of the questionnaire. This short and easy-to-administer questionnaire will help to identify the attitudes towards healthy eating promotion of secondary school teachers, as well as assist health professionals in detecting and capturing health assets in secondary schools. Teachers with a positive attitude will be motivated to establish strategies and implement interventions to promote healthy eating in schools.
Community interventions in schools should take into account the whole educational community and be supported by instruments that measure practices and attitudes, but also knowledge. It is therefore necessary to carry out future studies with larger samples that allow deeper exploration into the subject in order to plan and implement interventions that promote greater involvement of teachers in the promotion of healthy eating in secondary schools.
The scale of attitudes towards the promotion of healthy eating among secondary school teachers is an instrument that meets the psychometric properties of reliability, internal validity, fit, as well as a good correlation, allowing its use as a research instrument in future studies.

Author Contributions

Conceptualization: A.G.-F., F.M.G.-P., E.S.-C., M.S.-A. and J.D.R.-P.; Data curation: A.G.-F., F.M.G.-P., E.S.-C. and J.D.R.-P.; Formal analysis: A.G.-F., F.M.G.-P., E.S.-C., M.S.-A., J.D.R.-P. and M.R.-M.; Investigation: A.G.-F., F.M.G.-P., J.D.R.-P., E.S.-C., M.S.-A. and M.R.-M.; Methodology: A.G.-F., F.M.G.-P., J.D.R.-P., E.S.-C., M.S.-A. and M.R.-M.; Project administration: A.G.-F. and F.M.G.-P.; Resources: A.G.-F., F.M.G.-P. and J.D.R.-P.; Software: F.M.G.-P. and J.D.R.-P.; Supervision: A.G.-F. and F.M.G.-P.; Validation: F.M.G.-P. and J.D.R.-P.; Visualization: F.M.G.-P., J.D.R.-P. and M.R.-M.; Writing—original draft, A.G.-F., F.M.G.-P., J.D.R.-P., E.S.-C. and M.S.-A.; Writing—review and editing: A.G.-F., F.M.G.-P., J.D.R.-P. and M.R.-M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of Universidad de Huelva.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The datasets used and/or analysed during the current study are available from the corresponding author upon reasonable request.

Acknowledgments

We really appreciate the participation of the management teams and teachers of all the centres included in this study.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

World Health Organization (WHO); proactivity (PRO); concern (CON); Knowledge, Attitudes, Practices (KAP).

References

  1. World Health Organization. Global Strategy on Diet, Physical Activity and Health. 2004. Available online: https://www.who.int/publications/i/item/9241592222 (accessed on 16 May 2022).
  2. World Health Organization. Facts Sheets. Obesity and Overweight. 2016. Available online: https://www.who.int/en/news-room/fact-sheets/detail/obesity-and-overweight (accessed on 16 May 2022).
  3. World Health Organization. Healthy Diet Fact Sheet N 394. 2015. Available online: https://www.who.int/news-room/fact-sheets/detail/healthy-diet (accessed on 18 May 2022).
  4. González Rodríguez, A.; Travé González, G.H.; García Padilla, F. La mejora de los hábitos de desayuno y merienda escolar a través de una doble intervención escuela-familia. Rev. Electrónica Investig. Docencia 2019, 21, 117–132. [Google Scholar] [CrossRef] [Green Version]
  5. Garrido-Fernández, A.; García-Padilla, F.M.; Sánchez-Ramos, J.L.; Gómez-Salgado, J.; SosaCordobés, E. The family as an actor in high school students’ eating habits: A qualitative research study. Foods 2020, 9, 419. [Google Scholar] [CrossRef] [Green Version]
  6. Garrido-Fernández, A.; García-Padilla, F.M.; Sánchez-Ramos, J.L.; Gómez-Salgado, J.; Ramos-Pichardo, J.D.; Ortega-Galán, A.M. Promotion of healthy eating in Secondary Education High Schools. Nutrients 2020, 12, 1979. [Google Scholar] [CrossRef]
  7. Rathi, N.; Riddell, L.; Worsley, A. What influences urban Indian secondary school students’ food consumption?—A qualitative study. Appetite 2016, 105, 790–797. [Google Scholar] [CrossRef]
  8. Pareja Sierra, S.L.; Roura Carbajal, E.; Milá-Villarroel, R.; Adot Caballero, A. Study and promotion of healthy eating habits and physical activity among Spanish adolescents: TAS program (you and Alicia for health). Nutr. Hosp. 2018, 35, 121–129. [Google Scholar]
  9. Lazzeri, G.; Giacchi, M.V.; Spinelli, A.; Pammolli, A.; Dalmasso, P.; Nardone, P. Overweight among students aged 11–15 years and its relationship with breakfast, area of residence and parents’ education: Results from the Italian HBSC 2010 cross-sectional study. Nutr. J. 2014, 13, 69. [Google Scholar] [CrossRef] [Green Version]
  10. González Rodríguez, A.; García Padilla, F.M.; Martos Cerezuela, I.; Silvano Arranz, A.; Fernández Lao, I. Andalies project: Consumption, offer and promotion of healthy eating habits within secondary schools in Andalusia. Nutr. Hosp. 2015, 31, 4. [Google Scholar]
  11. García-Padilla, F.M.; González-Rodríguez, A. Los servicios de cafeterías y la promoción de la salud en el entorno escolar. Aten Primaria 2017, 49, 271–277. [Google Scholar] [CrossRef]
  12. Rathi, N.; Riddell, L.; Worsley, A. Parents’ and teachers’ critique of nutrition education in Indian secondary schools. Health Educ. 2019, 119, 150–164. [Google Scholar] [CrossRef]
  13. González-Rodríguez, A.; Travé-González, G.; García-Padilla, F.M. Eating habits, physical activity and hours of sleep in school children: A diagnostic study in Primary Education. Educ. Siglo XXI 2018, 36, 443–464. [Google Scholar]
  14. Rodrigo-Vega, M.; Ejeda-Manzanera, J.M.; Caballero-Armenta, M.; Cubero-Juánez, J.; Ortega-Navas, C. Las Guías Alimentarias como material didáctico en la formación de Maestros: Análisis y aplicación. Rev. Complut. Educ. 2017, 28, 145–164. [Google Scholar] [CrossRef] [Green Version]
  15. Rathi, N.; Riddell, L.; Worsley, A. Parents’ and Teachers’ Views of Food Environments and Policies in Indian Private Secondary Schools. Int. J. Environ. Res. Public Health 2018, 15, 1532. [Google Scholar] [CrossRef] [Green Version]
  16. Fundación Española de la Nutrición. Libro Blanco de la Nutrición en España; Ministerio de Sanidad, Servicios Sociales e Lgualdad: Madrid, Spain, 2013.
  17. Aranceta, J. Obesidad infantil: Nuevos hábitos alimentarios y nuevos riesgos para la salud. Análisis de sus causas. In Alimentación, Consumo y Salud. Colección Estudios Sociales; Díaz, C., Gómez, C., Eds.; Obra Social Fundación La Caixa: Barcelona, Spain, 2008; Volume 241, pp. 216–245. [Google Scholar]
  18. González-Rodríguez, A.; Travé-González, G.H.; García-Padilla, F.M. La educación nutricional a partir del trabajo por proyectos en Educación Primaria. Rev. Didáctica Cienc. Exp. Soc. 2020, 38, 171–186. [Google Scholar] [CrossRef]
  19. Torres-García, M.; Santana-Hernández, H. La Educación para la Salud en la formación de maestros desde el Espacio Europeo de Educación Superior. Rev. Complut. Educ. 2017, 28, 1083–1101. [Google Scholar] [CrossRef] [Green Version]
  20. Kulik, N.L.; Moore, E.W.; Centeio, E.E.; Garn, A.C.; Martin, J.J.; Shen, B.; Somers, C.L.; McCaughtry, N. Knowledge, Attitudes, Self-Efficacy, and Healthy Eating Behavior Among Children: Results From the Building Healthy Communities Trial. Health Educ. Behav. 2019, 46, 602–611. [Google Scholar] [CrossRef]
  21. Avalos Latorre, M.L.; Avalos Latorre, M.L. Relación entre hábitos y actitudes hacia la alimentación con indicadores antropométricos por sexo en adolescentes de secundaria. Acta Univ. 2020, 30, 1–12. [Google Scholar] [CrossRef]
  22. García-Padilla, F.M.; González-Rodríguez, A.; González-de Haro, M.D.; Frigolet-Maceras, J. Promoting healthy eating in Secondary Education: Consensus on assessment indicators. Rev. Esp. Nutr. Comunitaria 2012, 18, 145–150. [Google Scholar]
  23. Gandeka, B.; Ware, J.E. Methods for Validating and Norming Translations of Health Status Questionnaires: The IQOLA Project Approach. J. Clin. Epidemiol. 1998, 51, 953–959. [Google Scholar] [CrossRef]
  24. The Lancet Public Health. Childhood obesity beyond COVID-19. Lancet Public Health 2021, 6, e534. [Google Scholar] [CrossRef]
  25. Nicodemo, M.; Spreghini, M.R.; Manco, M.; Wietrzykowska Sforza, R.; Morino, G. Childhood Obesity and COVID-19 Lockdown: Remarks on Eating Habits of Patients Enrolled in a Food-Education Program. Nutrients 2021, 13, 383. [Google Scholar] [CrossRef]
  26. Thomas-Eapen, N. Childhood Obesity. Prim. Care 2021, 48, 505–515. [Google Scholar] [CrossRef]
  27. Dabas, A.; Seth, A. Prevention and Management of Childhood Obesity. Indian J. Pediatr. 2018, 85, 546–553. [Google Scholar] [CrossRef]
  28. Brown, C.L.; Halvorson, E.E.; Cohen, G.M.; Lazorick, S.; Skelton, J.A. Addressing Childhood Obesity: Opportunities for Prevention. Pediatr. Clin. N. Am. 2015, 62, 1241–1261. [Google Scholar] [CrossRef] [Green Version]
  29. Surani, S.R.; Hesselbacher, S.; Surani, Z.; Mokhasi, M.; Surani, S.S.; Guardiola, J.; Quisenberry, L.; Surani, S.S. Development and validation of a tool to assess knowledge of healthy lifestyles in early grade school children. BMC Res. Notes 2018, 11, 225. [Google Scholar] [CrossRef] [Green Version]
  30. Vereecken, C.; De Pauw, A.; Van Cauwenbergh, S.; Maes, L. Development and test-retest reliability of a nutrition knowledge questionnaire for primary-school children. Public Health Nutr. 2012, 15, 1630–1638. [Google Scholar] [CrossRef] [Green Version]
  31. Graziose, M.M.; Wolf, R.L.; Koch, P.A.; Gray, H.L.; Contento, I.R. Validation of a Questionnaire to Measure Fruits and Vegetables Selected and Consumed at School Lunch among Second- and Third-Grade Students. J. Acad. Nutr. Diet. 2018, 118, 1700–1710.e2. [Google Scholar] [CrossRef]
  32. Hidding, L.M.; Altenburg, T.M.; Mokkink, L.B.; Terwee, C.B.; Chinapaw, M.J.M. Systematic Review of Childhood Sedentary Behavior Questionnaires: What do We Know and What is Next? Sports Med. 2017, 47, 677–699. [Google Scholar] [CrossRef] [Green Version]
  33. Moreno-Martínez, F.J.; Ruzafa-Martínez, M.; Ramos-Morcillo, A.J.; Gómez García, C.I.; Hernández-Susarte, A.M. Development and validation of a questionnaire on knowledge and personal hygiene habits in childhood (HICORIN®). Aten Primaria 2015, 47, 419–427. [Google Scholar] [CrossRef] [Green Version]
  34. Contaldo, M.; Della Vella, F.; Raimondo, E.; Minervini, G.; Buljubasic, M.; Ogodescu, A.; Sinescu, C.; Serpico, R. Early Childhood Oral Health Impact Scale (ECOHIS): Literature review and Italian validation. Int. J. Dent. Hyg. 2020, 18, 396–402. [Google Scholar] [CrossRef]
  35. Blázquez-Sánchez, N.; De Troya-Martín, M.; Rivas-Ruiz, F.; Bueno-Fernández, S.; Fernández-Morano, M.T.; Arias-Santiago, S. Validation of the ‘CHRESI’ questionnaire on habits related to sun exposure during childhood. Eur. J. Cancer Prev. 2018, 27, 54–61. [Google Scholar] [CrossRef]
  36. Liu, H.; Xu, X.; Liu, D.; Rao, Y.; Reis, C.; Sharma, M.; Yuan, J.; Chen, Y.; Zhao, Y. Nutrition-Related Knowledge, Attitudes, and Practices (KAP) among Kindergarten Teachers in Chongqing, China: A Cross-Sectional Survey. Int. J. Environ. Res. Public Health 2018, 15, 615. [Google Scholar] [CrossRef] [Green Version]
  37. Wang, S.J.; Wang, T.T.; Wang, J.B. Nutritional knowledge, attitudes and dietary behaviors of teachers and students in a medical college in Beijing and their influencing factors. Journal of Peking University. Health Sci. 2020, 52, 881–885. [Google Scholar] [CrossRef]
  38. Moitra, P.; Verma, P.; Madan, J. Development and validation of a questionnaire measuring knowledge, attitudes, and practices (KAP) to healthy eating and activity patterns in school children (HEAPS). Nutr. Health 2021, 27, 199–209. [Google Scholar] [CrossRef]
  39. Tajik, E.; Latiff, L.A.; Yit Siew, C.; Awang, H.; Adznam, S.N.A. Designing and Validating a Questionnaire on Healthy Lifestyle to Reduce Depressive Symptoms among Adolescents. Iran J. Psychiatry 2020, 15, 27–40. [Google Scholar] [CrossRef]
  40. Lima Serrano, M.; Lima-Rodríguez, J.S.; Sáez-Bueno, A. Diseño y validación de dos escalas para medir la actitud hacia la alimentación y la actividad física. Rev. Esp. Salud Pública 2012, 86, 253–268. [Google Scholar] [CrossRef] [Green Version]
  41. Rapson, J.; Conlon, C.; Beck, K.; von Hurst, P.; Ali, A. The Development of a Psychometrically Valid and Reliable Questionnaire to Assess Nutrition Knowledge Related to Pre-Schoolers. Nutrients 2020, 12, 1964. [Google Scholar] [CrossRef] [PubMed]
  42. Katsagoni, C.N.; Apostolou, A.; Georgoulis, M.; Filippou, C.; Panagiotakos, D.B.; Sidossis, L.S. Schoolteachers’ Nutrition Knowledge, Beliefs, and Attitudes Before and After an E-Learning Program. Soc. Nutr. Educ. Behav. 2019, 15, 1088–1098. [Google Scholar] [CrossRef]
  43. de Vlieger, N.; van Rossum, J.; Riley, N.; Miller, A.; Collins, C.; Bucher, T. Nutrition Education in the Australian New South Wales Primary School Curriculum: Knowledge and Attitudes of Students and Parents. Children 2020, 27, 24. [Google Scholar] [CrossRef] [Green Version]
  44. Tang, S.; Bishwajit, G.; Ji, L.; Feng, D.; Fang, H.; Fu, H.; Shao, T.; Shao, P.; Liu, C.; Feng, Z.; et al. Improving the Blood Pressure Control With the ProActive Attitude of Hypertensive Patients Seeking Follow-up Services: Evidence From China. Medicine 2016, 95, e3233. [Google Scholar] [CrossRef]
  45. Dumitrescu, A.L.; Dogaru, B.C.; Dogaru, C.D.; Manolescu, B. The relationship between self-reported oral health, self-regulation, proactive coping, procrastination and proactive attitude. Community Dent. Health 2011, 28, 170–173. [Google Scholar]
  46. Graciano, A.M.C.; Cardoso, N.M.M.; Teixeira, S.A.; Mattos, F.F.; Gomes, V.E.; Borges-Oliveira, A.C. Health promotion in Brazil: Qualitative survey with primary school teachers. Health Promot. Int. 2019, 34, e28–e35. [Google Scholar] [CrossRef] [PubMed]
  47. Herr, S.W.; Telljohann, S.K.; Price, J.H.; Dake, J.A.; Stone, G.E. High school health-education teachers’ perceptions and practices related to teaching HIV prevention. J. Sch. Health 2012, 82, 514–521. [Google Scholar] [CrossRef] [PubMed]
  48. Cerin, E.; Barnett, A.; Baranowski, T. Testing Theories of Dietary Behavior Change in Youth Using the Mediating Variable Model with Intervention Programs. J. Nutr. Educ. Behav. 2009, 41, 309–318. [Google Scholar] [CrossRef]
  49. Revals, D.; Foster, D.; Biddle, S.J.H. A review of mediators of behavior in interventions to promote physical activity among children and adolescents. Prev. Med. 2008, 47, 463–470. [Google Scholar]
  50. Hammersley, M.L.; Okely, A.D.; Batterham, M.J.; Jones, R.A. An Internet-Based Childhood Obesity Prevention Program (Time2bHealthy) for Parents of Preschool-Aged Children: Randomized Controlled Trial. J. Med. Internet Res. 2019, 21, e11964. [Google Scholar] [CrossRef] [Green Version]
  51. Siemer, C.P.; Fogel, J.; Van Voorhees, B.W. Telemental health and web-based applications in children and adolescents. Child Adolesc. Psychiatr. Clin. N. Am. 2011, 20, 135–153. [Google Scholar] [CrossRef] [Green Version]
  52. O’Reilly, M.; Dogra, N.; Hughes, J.; Reilly, P.; George, R.; Whiteman, N. Potential of social media in promoting mental health in adolescents. Health Promot. Int. 2019, 34, 981–991. [Google Scholar] [CrossRef]
  53. Di Stasio, D.; Romano, A.; Paparella, R.S.; Gentile, C.; Serpico, R.; Minervini, G.; Candotto, V.; Laino, L. How social media meet patients questions: YouTube review for mouth sores in children. J. Biol. Regul. Homeost. Agents Arch. 2018, 32 (Suppl. 1), 117–121. [Google Scholar]
  54. Di Stasio, D.; Romano, A.N.; Paparella, R.S.; Gentile, C.; Serpico, R.; Minervini, G.; Serpico, R.; Candotto, V.; Laino, L. How social media meet patients questions: YouTube review for children oral thrush. J. Biol. Regul. Homeost. Agents Arch. 2018, 32 (Suppl. 1), 101–106. [Google Scholar]
  55. Zhao, Y.; Zhang, J. Consumer health information seeking in social media: A literature review. Health Inf. Libr. J. 2017, 34, 268–283. [Google Scholar] [CrossRef] [Green Version]
  56. Shanbehzadeh, M.; Kazemi-Arpanahi, H.; Kalkhajeh, S.G.; Basati, G. Systematic review on telemedicine platforms in lockdown periods: Lessons learned from the COVID-19 pandemic. J. Educ. Health Promot. 2021, 10, 211. [Google Scholar] [PubMed]
  57. Minervini, G.; Russo, D.; Herford, A.S.; Gorassini, F.; Meto, A.; D’Amico, C.; Cervino, G.; Cicciù, M.; Fiorillo, L. Teledentistry in the Management of Patients with Dental and Temporomandibular Disorders. BioMed Res. Int. 2022, 2022, 7091153. [Google Scholar] [CrossRef] [PubMed]
Table
Table 1. Sociodemographic characteristics of informants.
Table 1. Sociodemographic characteristics of informants.
N
(200)
(%)
Age
20–3052.5
30–406130.5
40–507035
50–605929.5
+6052.5
Sex
Male8542.50
Female11557.50
Years teaching
>10 years15175.5
<10 years4924.5
Profile
Management team6231
Counsellors178.5
Non-tutors7537.5
Tutors4623
Table
Table 2. Descriptive data of attitude items (n = 200).
Table 2. Descriptive data of attitude items (n = 200).
MeanSDSkewnessKurtosis
Item 13.021.065−0.569−1.084
Item 23.290.865−0.823−0.537
Item 33.350.812−0.9960.092
Item 43.410.732−0.906−0.281
Item 53.520.763−1.5411.655
Item 63.220.778−0.470−0.993
Item 73.170.905−0.888−0.065
Item 83.110.899−0.712−0.356
Item 93.130.904−0.755−0.327
TOTAL A29.214.93−0.0599−0.059
CON A16.583.04−0.722−0.252
PRO A12.632.91−0.577−0.412
TOTAL A = Total Attitude; CON A = Concern Attitude; PRO A = Proactivity attitude.
Table
Table 3. Percentages of variance explained by the common factors obtained in the factor analysis of polychoric correlations.
Table 3. Percentages of variance explained by the common factors obtained in the factor analysis of polychoric correlations.
Item 1Item 2Item 3Item 4Item 5Item 6Item 7Item 8Item 9
Eigenvalue3.8131.8910.9500.6560.5260.4050.3450.2360.178
% Variance42.36521.01610.5597.2865.8434.5013.8332.6221.976
% Cumulative Variance4.63563.38173.94081.22687.06991.57095.40398.024100.00
Table
Table 4. Factor weights: principal component analysis.
Table 4. Factor weights: principal component analysis.
ItemsPRO A (Factor 1)CON A (Factor 2)
1−0.720.713
2−0.690.789
31.910.796
40.4190.686
50.2720.482
60.4820.511
70.9050.080
80.9070.114
90.8830.77
CON A = Concern Attitude; PRO A = Proactivity Attitude.
Table
Table 5. Cronbach’s alpha and Cronbach’s alpha if the item is removed.
Table 5. Cronbach’s alpha and Cronbach’s alpha if the item is removed.
TotalCON APRO A
Cronbach’s Alpha0.8150.7560.855
If item is removed
Item 10.8230.744
Item 20.8090.691
Item 30.7870.663
Item 40.7810.698
Item 50.8090.762
Item 60.790 0.913
Item 70.790 0.768
Item 80.785 0.760
Item 90.792 0.788
CON A = Concern Attitude; PRO A = Proactivity Attitude.
Table
Table 6. Corrected item–test correlations.
Table 6. Corrected item–test correlations.
TotalCON APRO A
Item 10.3450.475
Item 20.4090.581
Item 30.5920.665
Item 40.6660.582
Item 50.3960.369
Item 60.571 0.427
Item 70.567 0.806
Item 80.604 0.824
Item 90.549 0.761
PRO A0.693
CON A0.675
CON A = Concern Attitude; PRO A = Proactivity Attitude.
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Garrido-Fernández, A.; García-Padilla, F.M.; Ramos-Pichardo, J.D.; Romero-Martín, M.; Sosa-Cordobés, E.; Sánchez-Alcón, M. Attitude towards the Promotion of Healthy Eating among Secondary School Teachers—Construction and Validation of a Questionnaire. Nutrients 2022, 14, 2271. https://doi.org/10.3390/nu14112271

AMA Style

Garrido-Fernández A, García-Padilla FM, Ramos-Pichardo JD, Romero-Martín M, Sosa-Cordobés E, Sánchez-Alcón M. Attitude towards the Promotion of Healthy Eating among Secondary School Teachers—Construction and Validation of a Questionnaire. Nutrients. 2022; 14(11):2271. https://doi.org/10.3390/nu14112271

Chicago/Turabian Style

Garrido-Fernández, Almudena, Francisca María García-Padilla, Juan Diego Ramos-Pichardo, Macarena Romero-Martín, Elena Sosa-Cordobés, and Miriam Sánchez-Alcón. 2022. "Attitude towards the Promotion of Healthy Eating among Secondary School Teachers—Construction and Validation of a Questionnaire" Nutrients 14, no. 11: 2271. https://doi.org/10.3390/nu14112271

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