EconPapers    
Economics at your fingertips  
 

Predictors of Low Back Pain Risk Among Farmers in Rural Communities of Loja, Ecuador

Isabel Masson Palacios, Israel Vinueza-Fernandez, Samuel-Olegario Iñiguez-Jiminez, Mario J. Grijalva and Benjamin R. Bates ()
Additional contact information
Isabel Masson Palacios: Escuela de Fisioterapia, Facultad de Ciencias Médicas, de la Salud y la Vida, Universidad Internacional del Ecuador, Quito 170150, Ecuador
Israel Vinueza-Fernandez: Facultad de Enfermería, Centro de Investigación para la Salud en América Latina (CISeAL), Pontifica Universidad Católica del Ecuador, Quito 170150, Ecuador
Samuel-Olegario Iñiguez-Jiminez: Faculty of Healthy and Well-Being, School of Physical Therapy, Centro de Investigación para la Salud en América Latina (CISeAL), Pontifica Universidad Católica del Ecuador, Quito 170150, Ecuador
Mario J. Grijalva: Infectious and Tropical Disease Institute, Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH 45701, USA
Benjamin R. Bates: School of Communication Studies, Scripps College of Communication, Ohio University, Athens, OH 45701, USA

IJERPH, 2025, vol. 22, issue 6, 1-15

Abstract: Background: Low back pain (LBP) and musculoskeletal disorders are highly prevalent among agricultural workers. However, there is limited epidemiological evidence from rural regions of Ecuador, where working and living conditions may differ substantially from those in other settings. This study aimed to identify predictors of LBP among farmers in rural Ecuador to inform locally relevant prevention strategies. Methods: Participants aged 30 to 60 years ( n = 103) were recruited through a traveling health clinic. Participants were assessed with behavioral and sociodemographic self-report questionnaires and anthropometric measurements. Low back pain (LBP) was assessed using the Standardized Nordic Musculoskeletal Questionnaire, which asked about symptoms experienced in the past 12 months. Bivariate (Chi-square and Fisher exact tests) and multivariate (binary logistic regression) analyses were conducted to explore associations between risk factors and LBP in individuals aged 30 to 60 years. Results: LBP was highly prevalent, affecting 78.6% of participants. Behavioral patterns were mixed, with low rates of smoking and moderate alcohol and coffee consumption associated with LBP. A normal body mass index (BMI) was observed in 66% of the sample, and over half reported stable mood and good self-perceived health. In the binary logistic regression analysis, only education level significantly predicted LBP, with secondary education acting as a protective factor. Conclusions: While lower back pain was widespread in the population studied, most risk factors that were analyzed were not significantly associated with its presence.

Keywords: low back pain; risk factors; prediction model; farmers; 12-month prevalence (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/22/6/885/pdf (application/pdf)
https://www.mdpi.com/1660-4601/22/6/885/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:22:y:2025:i:6:p:885-:d:1669673

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-06-05
Handle: RePEc:gam:jijerp:v:22:y:2025:i:6:p:885-:d:1669673