•  
  •  
 

Abstract

Background: Farmers in low- and middle-income countries face serious occupational and environmental health risks, including pesticide exposure, musculoskeletal disorders, and skin diseases. In Indonesia, limited evidence exists on the psychosocial factors that shape preventive health behaviors, hindering the design of effective interventions. This study applies an extended Theory of Planned Behavior (TPB) framework to analyze preventive practices among vegetable farmers.

Methods: A cross-sectional survey was conducted among 254 vegetable farmers in Koto Laweh Village, West Sumatra, Indonesia, during July–August 2025. Data were collected using a validated TPB-based questionnaire and analyzed with Partial Least Squares Structural Equation Modelling (PLS-SEM).

Results: Knowledge had a strong positive effect on attitudes, while both attitudes and perceived behavioral control (PBC) significantly predicted intention. Subjective norms were not significant. Intention emerged as the dominant predictor of behavior, with PBC exerting a smaller but direct influence. The extended model accounted for substantial variance across constructs (R² = 0.53 for attitude, 0.60 for intention, and 0.83 for behavior).

Conclusion: Preventive behavior among Indonesian farmers is mainly driven by the knowledge–attitude–intention pathway, reinforced by perceived behavioral control. Intention is the strongest predictor, while family norms are weak and institutional norms are more relevant. Interventions should strengthen education, skills, and institutional support to foster sustainable occupational health practices.

Keywords: Theory of Planned Behavior, Environmental and occupational health, Preventive behavior, Farmers, SEM-PLS.

References

[1] Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process 1991;50(2):179—211. https://doi.org/10.1016/0749-5978(91)90020-T.

[2] Asante IK, Ocran JK, Inkoom EW. Modeling pesticide use behavior among farmers in the upper east region of Ghana: an empirical application of the theory of planned behavior. Environ Protect Res 2023:130—49. https://doi.org/10.37256/epr.3120232074.

[3] Fraser J, Counotte M, Bergevoet R. Behavioural drivers in farmer compliance for zoonotic threat prevention; a literature review looking at compliance in farmers through psychological theory. In: The context of prevention of zoonoses outbreaks in the Dutch animal agriculture sector. Wageningen: Wageningen Economic Research; 2024.

[4] Yang X, Zhou X, Deng X. Modeling farmers’ adoption of low-carbon agricultural technology in Jianghan Plain, China: an examination of the theory of planned behavior. Technol Forecast Soc Change 2022;180:121726. https://doi.org/10.1016/j.techfore.2022.121726.

[5] Bagheri A, Bondori A, Allahyari MS, Damalas CA. Modeling farmers’ intention to use pesticides: an expanded version of the theory of planned behavior. J Environ Manag 2019;248: 109291. https://doi.org/10.1016/j.jenvman.2019.109291.

[6] Baydur H, Eser E, Sen Gundogan NE, Ayhan E, Eser S, Dede B, et al. Psychological determinants of Turkish farmers’ health and safety behaviors: an application of the extended theory of planned behavior. Agriculture 2023; 13(5):967. https://doi.org/10.3390/agriculture13050967.

[7] Biesheuvel MM, Santman-Berends I, Barkema HW, Ritter C, Berezowski J, Guelbenzu M, et al. Understanding farmers' behavior and their decision-making process in the context of cattle diseases: a review of theories and approaches. Front Vet Sci 2021;8:687699. https://doi.org/10.3389/fvets.2021.687699.

[8] Govindharaj G-P-P, Gowda B, Sendhil R, Adak T, Raghu S, Patil N, et al. Determinants of rice farmers’ intention to use pesticides in eastern India: application of an extended version of the planned behavior theory. Sustain Prod Consum 2021;26:814—23. https://doi.org/10.1016/j.spc.2020.12.036.

[9] Sapkota U, Bhandari G, Sapkota M, Khanal S, Poudel A, Khanal D, et al. Modeling vegetable farmers’ intention to use pesticides in central Nepal: an extended version of the planned behavior theory. Environ Chall 2025;18:101084. https://doi.org/10.1016/j.envc.2025.101084.

[10] Shi H, Wang J, Huang R, Zhao J, Zhang Y, Jiang N, et al. Application of the extended theory of planned behavior to understand Chinese students’ intention to improve their oral health behaviors: a cross-sectional study. BMC Public Health 2021;21(1):2303. https://doi.org/10.1186/s12889-02112329-9.

[11] Phung QA, Dao N. Farmers’ perceptions of sustainable agriculture in the Red River Delta, Vietnam. Heliyon 2024; 10(7):e28576. https://doi.org/10.1016/j.heliyon.2024.e28576.

[12] Savari M, Damaneh HE, Damaneh HE, Cotton M. Integrating the norm activation model and theory of planned behaviour to investigate farmer pro-environmental behavioural intention. Sci Rep 2023;13(1):5584. https://doi.org/10.1038/s41598-023-32831-x.

[13] Chang Z, Ahmed N, Li R, Huai J. Social capital, crop differences, and farmers’ climate change adaptation behaviors: evidence from Yellow River, China. Agriculture 2025;15(13): 1399. https://doi.org/10.3390/agriculture15131399.

[14] Günay T, Niyaz Altõnok € OC. Drivers of Capia pepper farmers’ intentions and behaviors on pesticide use in Turkey: a structural equation model. J Agric Sci 2024;30(2): 243—54. https://doi.org/10.15832/ankutbd.1258302.

[15] Bagheri A, Emami N, Damalas CA. Farmers' behavior in reading and using risk information displayed on pesticide labels: a test with the theory of planned behavior. Pest Manag Sci 2021;77(6):2903—13. https://doi.org/10.1002/ps.6326.

[16] Damalas CA. Farmers’ intention to reduce pesticide use: the role of perceived risk of loss in the model of the planned behavior theory. Environ Sci Pollut Control Ser 2021;28(26): 35278—85. https://doi.org/10.1007/s11356-021-13183-3.

[17] Chen Q. Analyzing farmers’ cultivated-land-abandonment behavior: integrating the theory of planned behavior and a structural equation model. Land (Basel) 2022;11(10):1777. https://doi.org/10.3390/land11101777.

[18] Primaroni O, Septirosya T. Extended factors for theory of planned behavior on organic food consumption: a review. EKONOMIKA SYARIAH: J Econ Stud 2024;8(2):192—205. https://doi.org/10.30983/es.v8i2.8955.

[19] Moradhaseli S, Ataei P, Van den Broucke S, Karimi H. The process of farmers’ occupational health behavior by health belief model: evidence from Iran. J Agromed 2021;26(2): 231—44. https://doi.org/10.1080/1059924X.2020.1837316.

[20] Chao O, Shutske J, Gonzalez E, Veeser D, Diaz Vallejo E, Sethi A, et al. An intervention to reduce occupational health risk from antibiotic resistant pathogens among dairy farm workers. J Agric Saf Health 2025;31(1):31—45. https://doi.org/10.13031/jash.16158.

[21] Jowett K, Milne AE, Potts SG, Senapathi D, Storkey J. Communicating carabids: engaging farmers to encourage uptake of integrated pest management. Pest Manag Sci 2022;78(6):2477—91. https://doi.org/10.1002/ps.6878.

[22] Sarma PK. Farmer behavior towards pesticide use for reduction production risk: a Theory of Planned Behavior. Clean Circ Bioecon 2022;1:100002. https://doi.org/10.1016/j.clcb.2021.100002.

[23] Batbay O, Kahramanoglu. Using theory of planned behaviour to understand and manage the factors affecting farmers’ intention in pesticide use. Clean Circ Bioecon 2024; 9:100126. https://doi.org/10.1016/j.clcb.2024.100126.

[24] Badsar M, Moghim M, Ghasemi M. Analysis of factors influencing farmers’ sustainable environmental behavior in agriculture activities: integration of the planned behavior and the protection motivation theories. Environ Dev Sustain 2023; 25(9):9903—34. https://doi.org/10.1007/s10668-022-02468-3.

[25] Ataei P, Gholamrezai S, Movahedi R, Aliabadi V. An analysis of farmers’ intention to use green pesticides: the application of the extended theory of planned behavior and health belief model. J Rural Stud 2021;81:374—84. https://doi.org/10.1016/j.jrurstud.2020.11.003.

Share

COinS