↓ Skip to main content

Dove Medical Press

Prevalence and risk factor analysis of lower extremity abnormal alignment characteristics among rice farmers

Overview of attention for article published in Patient preference and adherence, June 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
89 Mendeley
Title
Prevalence and risk factor analysis of lower extremity abnormal alignment characteristics among rice farmers
Published in
Patient preference and adherence, June 2015
DOI 10.2147/ppa.s81898
Pubmed ID
Authors

Usa Karukunchit, Rungthip Puntumetakul, Manida Swangnetr, Rose Boucaut

Abstract

Rice farming activities involve prolonged manual work and human-machine interaction. Prolonged farming risk-exposure may result in lower limb malalignment. This malalignment may increase the risk of lower extremity injury and physical disabilities. However, the prevalence and factors associated with lower extremity malalignment have not yet been reported. This study aimed to investigate the prevalence and risk factors of lower extremity malalignment among rice farmers. A cross-sectional survey was conducted with 249 rice farmers. Lower extremity alignment assessment included: pelvic tilt angle, limb length equality, femoral torsion, quadriceps (Q) angle, tibiofemoral angle, genu recurvatum, rearfoot angle, and medial longitudinal arch angle. Descriptive statistics were used to analyze participant characteristics and prevalence of lower extremity malalignment. Logistic regression analysis was used to identify risk factors. The highest prevalence of lower extremity malalignment was foot pronation (36.14%), followed by the abnormal Q angle (34.94%), tibiofemoral angle (31.73%), pelvic tilt angle (30.52%), femoral antetorsion (28.11%), limb length inequality (22.49%), tibial torsion (21.29%), and genu recurvatum (11.24%). In females, the risk factors were abnormal Q angle, tibiofemoral angle, and genu recurvatum. Being overweight was a risk factor for abnormal pelvic tilt angle, Q angle, and tibiofemoral angle. Age was a risk factor for limb length inequality. Years of farming were a major risk factor for abnormal Q angle, tibiofemoral angle, and foot malalignment. Prevalence of lower extremity malalignment was reported in this study. Female sex, being overweight, and years of farming were major risk factors for lower extremity malalignment. Lower extremity screening should assist in the identification of foot and knee malalignment in rice farmers. This may then lead to early prevention of musculoskeletal disorders arising from such malalignment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 15%
Researcher 10 11%
Student > Ph. D. Student 9 10%
Student > Bachelor 7 8%
Student > Postgraduate 5 6%
Other 18 20%
Unknown 27 30%
Readers by discipline Count As %
Medicine and Dentistry 16 18%
Nursing and Health Professions 11 12%
Agricultural and Biological Sciences 6 7%
Engineering 6 7%
Sports and Recreations 4 4%
Other 15 17%
Unknown 31 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 June 2015.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Patient preference and adherence
#1,064
of 1,757 outputs
Outputs of similar age
#168,502
of 281,411 outputs
Outputs of similar age from Patient preference and adherence
#26
of 47 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 281,411 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.