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EVALUATION OF AN ADAPTED FOOD CHOICE QUESTIONNAIRE FOR CLIMATE-VULNERABLE REGIONS: COASTAL, HILL, AND PLATEAU POPULATIONS

1Department of Nutrition Science, Faculty of Medicine, Universitas Diponegoro, Semarang, Jawa Tengah, Indonesia

2SDGs Center, Universitas Diponegoro, Semarang, Jawa Tengah, Indonesia

3Department of Oceanography, Faculty of Fisheries and Marine Science, Universitas Diponegoro, Semarang, Jawa Tengah, Indonesia

Received: 13 Oct 2025; Revised: 22 Dec 2025; Accepted: 24 Dec 2025; Available online: 28 Jan 2026; Published: 30 Jan 2026.

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Abstract

ABSTRACT

Background: Food choice was driven by some motives, psychology or physiological needs. FCQ were conducted to assess and measure motives underlying of food choice, however, the original FCQ by Steptoe was over 30 years ago in U.K population. The original FCQ was urgently need to validate the factor in other population target based on cultural, social and health factors, also different of mother language of population target, especially in context of household food insecurity.

Objectives: Aim of this study was (1) to assess modified FCQ in household food insecurity, (2) evaluate its construct validity and reliability of modified FCQ in household food insecurity.

Methods: FCQ (36 items) was translated to Indonesian, back-to-back. Construct validation was performed with factor analysis (EFA and CFA). Internal consistency was performed by Cronbach’s α. Participants in this study were driven by random sampling, ratio 3:1. Total participants were 108, women over 20 years old, household food handler and live on; coastal, hills and plateau areas that affected by climate change.

Results: 15 items were excluded, and remaining 21 items perform favorable results of goodness-of-fit indices (CFI 0.968, TLI 0.965, IFI 0.969, GFI 0.932, RMSEA 0.06, and SRMR 0.11). Internal consistency also performs an excellent consistency (Cronbach’s α 0.876).

Conclusion: This modified FCQ is a valid and reliable instrument for assessing household food choice in populations affected by climate change and food insecurity, supported by strong psychometric performance. Further validation with a larger sample is recommended to enhance generalizability.

Keyword: Factor analysis; food choice questionnaire; household food insecurity; reliability; validity

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Keywords: Factor analysis; food choice questionnaire; household food insecurity; reliability; validity

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  1. Neacsu M, McBey D, Johnstone AM. Meat Reduction and Plant-Based Food. In: Sustainable Protein Sources. Elsevier; 2017. p. 359–75. DOI: https://doi.org/10.1016/B978-0-12-802778-3.00022-6
  2. Leng G, Adan RAH, Belot M, Brunstrom JM, de Graaf K, Dickson SL, et al. The determinants of food choice. Proceedings of the Nutrition Society. 2017 Aug 1;76(3):316–27. DOI: https://doi.org/10.1017/S002966511600286X
  3. Hassoun A, Cropotova J, Trif M, Rusu AV, Bobiş O, Nayik GA, et al. Consumer acceptance of new food trends resulting from the fourth industrial revolution technologies: A narrative review of literature and future perspectives. Front Nutr. 2022 Aug 10;9. DOI: https://doi.org/10.3389/fnut.2022.972154
  4. Wongprawmas R, Mora C, Pellegrini N, Guiné RPF, Carini E, Sogari G, et al. Food Choice Determinants and Perceptions of a Healthy Diet among Italian Consumers. Foods. 2021 Feb 3;10(2):318. DOI: https://doi.org/10.3390/foods10020318
  5. Evans R, Christiansen P, Bateson M, Nettle D, Keenan GS, Hardman CA. Understanding the association between household food insecurity and diet quality: The role of psychological distress, food choice motives and meal patterning. Appetite. 2025 Aug;212:108007. DOI: https://doi.org/10.1016/j.appet.2025.108007
  6. Symmank C, Mai R, Hoffmann S, Stok FM, Renner B, Lien N, et al. Predictors of food decision making: A systematic interdisciplinary mapping (SIM) review. Appetite. 2017 Mar;110:25–35. DOI: https://doi.org/10.1016/j.appet.2016.11.023
  7. Steptoe A, Pollard TM, Wardle J. Development of a Measure of the Motives Underlying the Selection of Food: the Food Choice Questionnaire. Appetite. 1995 Dec;25(3):267–84. DOI: https://doi.org/10.1006/appe.1995.0061
  8. Onwezen MC, Reinders MJ, Verain MCD, Snoek HM. The development of a single-item Food Choice Questionnaire. Food Qual Prefer. 2019 Jan;71:34–45. DOI: https://doi.org/10.1016/j.foodqual.2018.05.005
  9. Verain MCD, Snoek HM, Onwezen MC, Reinders MJ, Bouwman EP. Sustainable food choice motives: The development and cross-country validation of the Sustainable Food Choice Questionnaire (SUS-FCQ). Food Qual Prefer. 2021 Oct;93:104267. DOI: https://doi.org/10.1016/j.foodqual.2021.104267
  10. Fotopoulos C, Krystallis A, Vassallo M, Pagiaslis A. Food Choice Questionnaire (FCQ) revisited. Suggestions for the development of an enhanced general food motivation model. Appetite. 2009 Feb;52(1):199–208. DOI: https://doi.org/10.1016/j.appet.2008.09.014
  11. Lindeman M, Väänänen M. Measurement of ethical food choice motives. Appetite. 2000 Feb;34(1):55–9. DOI: https://doi.org/10.1006/appe.1999.0293
  12. Szakály Z, Kontor E, Kovács S, Popp J, Pető K, Polereczki Z. Adaptation of the Food Choice Questionnaire: the case of Hungary. British Food Journal. 2018 Jul 2;120(7):1474–88. DOI: https://doi.org/10.1108/BFJ-07-2017-0404
  13. Markovina J, Stewart-Knox BJ, Rankin A, Gibney M, de Almeida MD V., Fischer A, et al. Food4Me study: Validity and reliability of Food Choice Questionnaire in 9 European countries. Food Qual Prefer. 2015 Oct;45:26–32. DOI: https://doi.org/10.1016/j.foodqual.2015.05.002
  14. Costello AB, Osborne J. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation. 2005;10(7). DOI: https://doi.org/10.7275/jyj1-4868
  15. Bland JM, Altman DG. Statistics notes: Cronbach’s alpha. BMJ. 1997 Feb 22;314(7080):572–572. DOI: https://doi.org/10.1136/bmj.314.7080.572
  16. Rigdon EE. CFI versus RMSEA: A comparison of two fit indexes for structural equation modeling. Struct Equ Modeling. 1996 Jan;3(4):369–79. DOI: https://doi.org/10.1080/10705519609540052
  17. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Modeling. 1999 Jan;6(1):1–55. DOI: https://doi.org/10.1080/10705519909540118
  18. Lai K, Green SB. The Problem with Having Two Watches: Assessment of Fit When RMSEA and CFI Disagree. Multivariate Behav Res. 2016 May 3;51(2–3):220–39. DOI: https://doi.org/10.1080/00273171.2015.1134306
  19. McDonald RP. Test Theory. Psychology Press; 2013. DOI: https://doi.org/10.1093/oxfordhb/9780199934874.013.0007
  20. Gjersing L, Caplehorn JR, Clausen T. Cross-cultural adaptation of research instruments: language, setting, time and statistical considerations. BMC Med Res Methodol. 2010 Dec 10;10(1):13. DOI: https://doi.org/10.1186/1471-2288-10-13
  21. Dikmen D, İnan-Eroğlu E, Göktaş Z, Barut-Uyar B, Karabulut E. Validation of a Turkish version of the food choice questionnaire. Food Qual Prefer. 2016 Sep;52:81–6. DOI: https://doi.org/10.1016/j.foodqual.2016.03.016
  22. Marsola C de M, Cunha LM, Carvalho-Ferreira JP de, da Cunha DT. Factors Underlying Food Choice Motives in a Brazilian Sample: The Association with Socioeconomic Factors and Risk Perceptions about Chronic Diseases. Foods. 2020 Aug 13;9(8):1114. DOI: https://doi.org/10.3390/foods9081114
  23. Verain MCD, Snoek HM, Onwezen MC, Reinders MJ, Bouwman EP. Sustainable food choice motives: The development and cross-country validation of the Sustainable Food Choice Questionnaire (SUS-FCQ). Food Qual Prefer. 2021 Oct;93:104267. DOI: https://doi.org/10.1016/j.foodqual.2021.104267
  24. Taherdoost H. What Is the Best Response Scale for Survey and Questionnaire Design; Review of Different Lengths of Rating Scale / Attitude Scale / Likert Scale. International Journal of Academic Research in Management. 2019;8(1):1–10
  25. Du T, Luo C, Gao Z, Chang Y, Zhuang X, Ma G. Application and validation of a Chinese version of the food choice questionnaire (FCQ). Food Qual Prefer. 2024 Nov;120:105260. DOI: https://doi.org/10.1016/j.foodqual.2024.105260
  26. Hilkenmeier F, Bohndick C, Bohndick T, Hilkenmeier J. Assessing Distinctiveness in Multidimensional Instruments Without Access to Raw Data – A Manifest Fornell-Larcker Criterion. Front Psychol. 2020 Mar 9;11. DOI: https://doi.org/10.3389/fpsyg.2020.00223
  27. de Ridder D, Kroese F, Evers C, Adriaanse M, Gillebaart M. Healthy diet: Health impact, prevalence, correlates, and interventions. Psychol Health. 2017 Aug 3;32(8):907–41. DOI: https://doi.org/10.1080/08870446.2017.1316849
  28. Paris JMG, Falkenberg T, Nöthlings U, Heinzel C, Borgemeister C, Escobar N. Changing dietary patterns is necessary to improve the sustainability of Western diets from a One Health perspective. Science of The Total Environment. 2022 Mar;811:151437. DOI: https://doi.org/10.1016/j.scitotenv.2021.151437
  29. Dixon KA, Michelsen MK, Carpenter CL. Modern Diets and the Health of Our Planet: An Investigation into the Environmental Impacts of Food Choices. Nutrients. 2023 Jan 30;15(3):692. DOI: https://doi.org/10.3390/nu15030692
  30. Contreras F, Al-Najim W, le Roux CW. Health Benefits Beyond the Scale: The Role of Diet and Nutrition During Weight Loss Programmes. Nutrients. 2024 Oct 22;16(21):3585. DOI: https://doi.org/10.3390/nu16213585
  31. Stewart-Knox BJ, Poínhos R, Fischer AR, Rankin A, Bunting BP, Oliveira BM, et al. Association between nutrition self-efficacy, health locus of control and food choice motives in consumers in nine European countries. J Health Psychol. 2025 Mar 14;30(3):543–58. DOI: https://doi.org/10.1177/13591053241249863
  32. Ooi SY, Mohd Taib MN, Mohd. Yusof BN, Chin YS. Validation of a food choice questionnaire among adolescents in Penang, Malaysia. Malays J Nutr. 2015;21(1):25–35
  33. Milošević J, Žeželj I, Gorton M, Barjolle D. Understanding the motives for food choice in Western Balkan Countries. Appetite. 2012 Feb;58(1):205–14. DOI: https://doi.org/10.1016/j.appet.2011.09.012
  34. Pollard TM, Steptoe A, Wardle J. Motives underlying healthy eating: using the food choice questionnaire to explain variation in dietary intake. J Biosoc Sci. 1998 Apr 1;30(2):165–79. DOI: https://doi.org/10.1017/S0021932098001655
  35. Monteiro CA, Cannon G, Levy RB, Moubarac JC, Louzada ML, Rauber F, et al. Ultra-processed foods: what they are and how to identify them. Public Health Nutr. 2019 Apr 12;22(5):936–41. DOI: https://doi.org/10.1017/S1368980018003762
  36. Monteiro CA, Moubarac J ‐C., Cannon G, Ng SW, Popkin B. Ultra‐processed products are becoming dominant in the global food system. Obesity Reviews. 2013 Nov 23;14(S2):21–8. DOI: https://doi.org/10.1111/obr.12107
  37. Hartmann C, Dohle S, Siegrist M. Importance of cooking skills for balanced food choices. Appetite. 2013 Jun;65:125–31. DOI: https://doi.org/10.1016/j.appet.2013.01.016
  38. Marsola C de M, Cunha LM, Carvalho-Ferreira JP de, da Cunha DT. Factors Underlying Food Choice Motives in a Brazilian Sample: The Association with Socioeconomic Factors and Risk Perceptions about Chronic Diseases. Foods. 2020 Aug 13;9(8):1114. DOI: https://doi.org/10.3390/foods9081114
  39. Nam SJ, Suk J. Influence of health food literacy on willingness to pay for healthier foods: focus on food insecurity. Int J Equity Health. 2024 Apr 22;23(1):80. DOI: https://doi.org/10.1186/s12939-024-02135-1
  40. Fernqvist F, Spendrup S, Tellström R. Understanding food choice: A systematic review of reviews. Heliyon. 2024 Jun;10(12):e32492. DOI: https://doi.org/10.1016/j.heliyon.2024.e32492
  41. Andretti B, Vieites Y, Elmor L, Andrade EB. How Socioeconomic Status Shapes Food Preferences and Perceptions. J Mark. 2025 Feb 26; DOI: https://doi.org/10.1177/00222429241296048
  42. McCrickerd K, Forde CG. Sensory influences on food intake control: moving beyond palatability. Obesity Reviews. 2016 Jan 11;17(1):18–29. DOI: https://doi.org/10.1111/obr.12340
  43. Fiolet T, Srour B, Sellem L, Kesse-Guyot E, Allès B, Méjean C, et al. Consumption of ultra-processed foods and cancer risk: results from NutriNet-Santé prospective cohort. BMJ. 2018 Feb 14;k322. DOI: https://doi.org/10.1177/00222429241296048
  44. Srour B, Fezeu LK, Kesse-Guyot E, Allès B, Méjean C, Andrianasolo RM, et al. Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé). BMJ. 2019 May 29;l1451. DOI: https://doi.org/10.1111/obr.12340

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