DOI QR코드

DOI QR Code

Factors related to the short-term and long-term intentions of healthy eating among Chinese adults living in Shanghai and parts of Anhui Province of China using the theory of planned behavior

계획적 행동이론 기반 상하이 및 안후이성 거주 중국 성인의 건강한 식행동의 장단기 의도와 관련된 요인

  • Liu, Ani (Department of Foodservice Management and Nutrition, Graduate School, Sangmyung University) ;
  • Lee, Seungwoo (Major of Foodservice Management and Nutrition, Sangmyung University) ;
  • Hwang, Ji-Yun (Major of Foodservice Management and Nutrition, Sangmyung University)
  • 유아니 (상명대학교 대학원 외식영양학과) ;
  • 이승우 (상명대학교 식품영양학전공) ;
  • 황지윤 (상명대학교 식품영양학전공)
  • Received : 2022.01.05
  • Accepted : 2022.02.11
  • Published : 2022.02.28

Abstract

Purpose: This study investigated the relationship between 3 major constructs of the theory of planned behavior (TPB), i.e., attitude, subjective norms and perceived behavioral control (PBC) and past experience of healthy eating and intentions of healthy eating in the short-term and long-term in adults living in Shanghai and parts of Anhui Province, China. Methods: The online study questionnaire for this cross-sectional study was based on previously validated items. A total of 408 Chinese adults (aged 18-64 years) residing in Shanghai and parts of Anhui Province, China were included to examine relationships between 3 major constructs of TPB and past experience of healthy eating, and short-term and long-term intentions of healthy eating. Multiple linear regression model adjusted for age and body mass index (BMI) was employed to test relationships. Results: Only PBC among 3 major constructs of TPB was significantly related to short-term (p < 0.001) and long-term (p = 0.002) intention of healthy eating after adjustment for age and BMI. Past experience of healthy eating was more significantly related to long-term intention (p < 0.001) compared to short-term (p = 0.020) intention of healthy eating. The short-term and long-term intention models explained 70.5% and 48.8% of the variance, respectively. Conclusion: PBC is a potential determinant of both short-term and long-term behavioral intention of healthy eating regardless of past experience of healthy eating in adults residing in Shanghai and parts of Anhui Province, China. Our results indicate that programs promoting healthy eating to Chinese adults incorporate PCB to perform healthy eating under his or her control.

본 연구 결과, 상하이와 안후이성 지역에 거주하는 중국 성인에서 인지된 행동통제력은 과거 건강한 식행동 경험과 관계없이 건강한 식행동의 장단기 행동 의도에 대한 잠재적 결정요인으로 관찰되었다. 이러한 결과는 급변하는 경제 발전 중에서 만성질환 예방을 위해 건강한 식행동의 중요성을 강조하고 있는 중국에서 성인들의 건강한 식행동을 도울 수 있는 근거자료로 활용될 수 있을 것이다. 향후 중국 내 다양한 인구집단에서의 추가 연구나 대규모 조사연구 및 건강한 식행동을 위한 개인의 인지된 행동통제력을 강화하는 영양 중재나 영양교육 등에 본 연구결과가 의미있는 기초자료가 되기를 기대한다.

Keywords

Acknowledgement

This research was funded by a 2020 Research Grant from Sangmyung University.

References

  1. Political Bureau of the Central Committee of the CPC. The Fourteenth Five-Year Plan. Press Conference of the 4th Session of the 13th NPC; 2021 Mar 4; Beijing, China.
  2. Chan CW, Leung SF. Lifestyle health behaviors of Hong Kong Chinese: results of a cluster analysis. Asia Pac J Public Health 2015; 27(3): 293-302. https://doi.org/10.1177/1010539514555214
  3. National Health and Family Planning Commission (CN). Report on the status of Chinese residents' nutrition and chronic diseases. Beijing; 2020.
  4. The Central Committee of the Communist Party of China; State Council of the People's Republic of China. The outline of the Healthy China 2030 Plan. Beijing; 2016.
  5. Chinese Nutrition Society. The food guide pagoda for Chinese residents (in Chinese) [Internet]. Beijing: Chinese Nutrition Society; 2016 [cited 2021 Dec 30]. Available from: http://dg.cnsoc.org/upload/images/source/20160519163856103.jpg.
  6. Andrews KR, Silk KS, Eneli IU. Parents as health promoters: a theory of planned behavior perspective on the prevention of childhood obesity. J Health Commun 2010; 15(1): 95-107. https://doi.org/10.1080/10810730903460567
  7. Chevance G, Caudroit J, Romain AJ, Boiche J. The adoption of physical activity and eating behaviors among persons with obesity and in the general population: the role of implicit attitudes within the theory of planned behavior. Psychol Health Med 2017; 22(3): 319-324. https://doi.org/10.1080/13548506.2016.1159705
  8. Ajzen I. Theory of planned behavior. Organ Behav Hum Decis Process 1991; 50(2): 179-211. https://doi.org/10.1016/0749-5978(91)90020-t
  9. Wang L, Wong PP, Narayanan AE, Chee WM. Green hotel selection of Chinese consumers: a planned behavior perspective. J China Tour Res 2019; 15(2): 192-212. https://doi.org/10.1080/19388160.2018.1553743
  10. Zhang X, Geng G, Sun P. Determinants and implications of citizens' environmental complaint in China: integrating theory of planned behavior and norm activation model. J Clean Prod 2017; 166: 148-156. https://doi.org/10.1016/j.jclepro.2017.08.020
  11. Ru X, Wang S, Yan S. Exploring the effects of normative factors and perceived behavioral control on individual's energy-saving intention: an empirical study in eastern China. Resour Conserv Recycl 2018; 134: 91-99. https://doi.org/10.1016/j.resconrec.2018.03.001
  12. Ajzen I. Consumer attitudes and behavior: The theory of planned behavior applied to food consumption decisions. Ital Rev Agric Econ 2015; 70(2): 121-138.
  13. Close MA, Lytle LA, Chen D, Viera AJ. Using the theory of planned behavior to explain intention to eat a healthful diet among southeastern United States office workers. Nutr Food Sci 2018; 48(2): 365-374. https://doi.org/10.1108/NFS-06-2017-0123
  14. Eto K, Koch P, Contento IR, Adachi M. Variables of the theory of planned behavior are associated with family meal frequency among adolescents. J Nutr Educ Behav 2011; 43(6): 525-530. https://doi.org/10.1016/j.jneb.2011.05.010
  15. Hamilton K, van Dongen A, Hagger MS. An extended theory of planned behavior for parent-for-child health behaviors: a meta-analysis. Health Psychol 2020; 39(10): 863-878. https://doi.org/10.1037/hea0000940
  16. Jung SE, Bice C. The role of self-identity in predicting college students' intention to consume fruits and vegetables. J Nutr Educ Behav 2019; 51(2): 173-181. https://doi.org/10.1016/j.jneb.2018.07.015
  17. Jung SE, Shin YH, Kim S, Hermann J, Bice C. Identifying underlying beliefs about fruit and vegetable consumption among low-income older adults: an elicitation study based on the theory of planned behavior. J Nutr Educ Behav 2017; 49(9): 717-723.e1. https://doi.org/10.1016/j.jneb.2017.05.343
  18. Canova L, Bobbio A, Manganelli AM. Predicting fruit consumption: a multi-group application of the theory of planned behavior. Appetite 2020; 145: 104490. https://doi.org/10.1016/j.appet.2019.104490
  19. Brouwer AM, Mosack KE. Expanding the theory of planned behavior to predict healthy eating behaviors: exploring a healthy eater identity. Nutr Food Sci 2015; 45(1): 39-53. https://doi.org/10.1108/NFS-06-2014-0055
  20. Zoellner J, Krzeski E, Harden S, Cook E, Allen K, Estabrooks PA. Qualitative application of the theory of planned behavior to understand beverage consumption behaviors among adults. J Acad Nutr Diet 2012; 112(11): 1774-1784. https://doi.org/10.1016/j.jand.2012.06.368
  21. Khalek AA, Ismail SH. Why are we eating halal-using the theory of planned behavior in predicting halal food consumption among generation Y in Malaysia. Int J Soc Sci Humanit 2015; 5(7): 608-612. https://doi.org/10.7763/IJSSH.2015.V5.526
  22. Menozzi D, Sogari G, Veneziani M, Simoni E, Mora C. Eating novel foods: an application of the theory of planned behaviour to predict the consumption of an insect-based product. Food Qual Prefer 2017; 59: 27-34. https://doi.org/10.1016/j.foodqual.2017.02.001
  23. Nardi VA, Jardim WC, Ladeira W, Santini F. Predicting food choice: a meta-analysis based on the theory of planned behavior. Br Food J 2019; 121(10): 2250-2264. https://doi.org/10.1108/bfj-08-2018-0504
  24. Jun J, Arendt SW. Understanding healthy eating behaviors at casual dining restaurants using the extended theory of planned behavior. Int J Hospit Manag 2016; 53: 106-115. https://doi.org/10.1016/j.ijhm.2015.12.002
  25. Dumitrescu AL, Wagle M, Dogaru BC, Manolescu B. Modeling the theory of planned behavior for intention to improve oral health behaviors: the impact of attitudes, knowledge, and current behavior. J Oral Sci 2011; 53(3): 369-377. https://doi.org/10.2334/josnusd.53.369
  26. Liu D, Lee S, Hwang J. Factors related to the intention of healthy eating behaviors based on the theory of planned behavior: focused on adults residing in Beijing, China. J Nutr Health 2021; 54(1): 67-75. https://doi.org/10.4163/jnh.2021.54.1.67
  27. Dewar DL, Lubans DR, Plotnikoff RC, Morgan PJ. Development and evaluation of social cognitive measures related to adolescent dietary behaviors. Int J Behav Nutr Phys Act 2012; 9(1): 36. https://doi.org/10.1186/1479-5868-9-36
  28. Gronhoj A, Bech-Larsen T, Chan K, Tsang L. Using theory of planned behavior to predict healthy eating among Danish adolescents. Health Educ 2013; 113(1): 4-17. https://doi.org/10.1108/09654281311293600
  29. Cheng OY, Yam CL, Cheung NS, Lee PL, Ngai MC, Lin CY. Extended theory of planned behavior on eating and physical activity. Am J Health Behav 2019; 43(3): 569-581. https://doi.org/10.5993/AJHB.43.3.11
  30. Watanabe T, Berry TR, Willows ND, Bell RC. Assessing intentions to eat low-glycemic index foods by adults with diabetes using a new questionnaire based on the theory of planned behaviour. Can J Diabetes 2015; 39(2): 94-100. https://doi.org/10.1016/j.jcjd.2014.09.001
  31. Blue CL. Does the theory of planned behavior identify diabetes-related cognitions for intention to be physically active and eat a healthy diet? Public Health Nurs 2007; 24(2): 141-150. https://doi.org/10.1111/j.1525-1446.2007.00618.x
  32. Fila SA, Smith C. Applying the theory of planned behavior to healthy eating behaviors in urban Native American youth. Int J Behav Nutr Phys Act 2006; 3(1): 11. https://doi.org/10.1186/1479-5868-3-11
  33. Wu T, Snider JB, Floyd MR, Florence JE, Stoots JM, Makamey MI. Intention for healthy eating among southern Appalachian teens. Am J Health Behav 2009; 33(2): 115-124.
  34. Hagger MS, Polet J, Lintunen T. The reasoned action approach applied to health behavior: Role of past behavior and tests of some key moderators using meta-analytic structural equation modeling. Soc Sci Med 2018; 213: 85-94. https://doi.org/10.1016/j.socscimed.2018.07.038
  35. Sheeran P, Godin G, Conner M, Germain M. Paradoxical effects of experience: past behavior both strengthens and weakens the intention-behavior relationship. J Assoc Consum Res 2017; 2(3): 309-18. https://doi.org/10.1086/691216