TY - JOUR
T1 - Does pain predict interference with daily functioning and weight loss in an obese residential treatment-seeking population?
AU - Wachholtz, Amy
AU - Binks, Martin
AU - Eisenson, Howard
AU - Kolotkin, Ronette
AU - Suzuki, Ayako
PY - 2010/6
Y1 - 2010/6
N2 - Background: Pain may interfere with daily functioning in obese persons and also with outcomes during weight loss. We examined the relationship between pain and (1) interference with daily functioning (DFi) and (2) outcomes in an obese treatment-seeking population. Method: Participants were 386 patients entering a residential weight loss program (body mass index, 40.7± 10.12 kg/m2). We examined the relationships of demographic factors, pain types, and emotional status with both baseline DFi and short-term weight loss. Results: Regression analysis showed that overall, total pain scores significantly predicted DFi even after controlling for other confounders (p<.05). Leg pain, joint pain, and headache predicted DFi (p's<.05) among women. Among both men and women, depression severity predicted DFi (p s<.01). For the entire sample, there was an inverse bivariate relationship between total pain score and weight loss (p<.001). Joint pain and depression (among women) and age and depression (among men) predicted reduced weight loss (p's<.05). Conclusion: These results highlight the value of assessing both pain and emotional status for individuals undergoing weight loss treatment since these may interfere recommendations to increase activity.
AB - Background: Pain may interfere with daily functioning in obese persons and also with outcomes during weight loss. We examined the relationship between pain and (1) interference with daily functioning (DFi) and (2) outcomes in an obese treatment-seeking population. Method: Participants were 386 patients entering a residential weight loss program (body mass index, 40.7± 10.12 kg/m2). We examined the relationships of demographic factors, pain types, and emotional status with both baseline DFi and short-term weight loss. Results: Regression analysis showed that overall, total pain scores significantly predicted DFi even after controlling for other confounders (p<.05). Leg pain, joint pain, and headache predicted DFi (p's<.05) among women. Among both men and women, depression severity predicted DFi (p s<.01). For the entire sample, there was an inverse bivariate relationship between total pain score and weight loss (p<.001). Joint pain and depression (among women) and age and depression (among men) predicted reduced weight loss (p's<.05). Conclusion: These results highlight the value of assessing both pain and emotional status for individuals undergoing weight loss treatment since these may interfere recommendations to increase activity.
KW - Activity of daily living
KW - Depression
KW - Obesity
KW - Pain
KW - Physical activity
KW - Physical function
KW - Weight loss
UR - http://www.scopus.com/inward/record.url?scp=77954658772&partnerID=8YFLogxK
U2 - 10.1007/s12529-010-9088-7
DO - 10.1007/s12529-010-9088-7
M3 - Article
C2 - 20387027
AN - SCOPUS:77954658772
SN - 1070-5503
VL - 17
SP - 118
EP - 124
JO - International Journal of Behavioral Medicine
JF - International Journal of Behavioral Medicine
IS - 2
ER -