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Abstract Number: 978

Dietary Patterns and Risk of Developing Knee Osteoarthritis: Data from the Osteoarthritis Initiative

Bing Lu1, Jeffrey B. Driban2, Timothy E. McAlindon3 and Charles Eaton4, 1Rheumatoloy, Immunology and Allergy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 2Rheumatology, Tufts Medical Center, Boston, MA, 3Division of Rheumatology, Tufts Medical Center, Boston, MA, 4Family Medicine and Epidemiology, Warren Alpert Medical School, School of Public Health, Brown University, Providence, RI

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: osteoarthritis and risk assessment

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Session Information

Date: Monday, November 6, 2017

Title: Epidemiology and Public Health Poster II: Rheumatic Diseases Other than Rheumatoid Arthritis

Session Type: ACR Poster Session B

Session Time: 9:00AM-11:00AM

Background/Purpose: Few studies have examined the effect of diet on future risk of knee OA development. The association between overall dietary patterns and risk of OA is unknown. We aimed to examine the prospective association of major dietary patterns by principal component analysis (PCA) with risk of developing radiographic knee OA.

Methods:  In the Osteoarthritis Initiative (OAI), 2835 participants (4570 knees) without knee OA in at least one knee [Kellgren and Lawrence (KL) grade of 0 or 1] who had dietary data at baseline were followed up to 48 months. We defined knee OA incidence as KL grade ≥ 2. Dietary intake was assessed with a Block Brief Food Frequency Questionnaire completed at baseline. We identified two major underlying patterns of food consumption by PCA: “Western” pattern, characterized by high intakes of red / processed meats, refined grains, french fries, desserts, and sweets, and the “Prudent” pattern characterized by high intakes of fruit/ vegetables, legumes, poultry, and fish. Each subject receives a score for each dietary pattern, with a higher score indicating a higher adherence to the respective pattern. The derived patterns are statistically uncorrelated with each other. We grouped the dietary pattern scores using quartiles. We developed a Cox proportional hazards model (with discrete time) to assess the association between dietary patterns and incident knee OA. The robust covariance estimates were used to account for intra-subject correction.  

Results:   Among our sample, 414 knees developed knee OA within 48 months. In multivariable models after controlling for age, sex, race, injury/surgery, and other covariates, adherence to the Western pattern was associated with an increased risk of knee OA (HRQ4 vs Q1: 1.60, 95% CI: 1.03 to 2.51, p trend: 0.03), while adherence to the Prudent pattern tended to be associated with a reduced risk of knee OA (HRQ4 vs Q1: 0.72, 95% CI: 0.52 to 1.00, p trend: 0.11) (Table). The observed associations were attenuated after additionally adjusting for body mass index (BMI).

Conclusion: Following a Western diet may increase the future risk of knee OA, whereas following a Prudent pattern may be associated with a reduced risk of knee OA. The associations may be partially mediated through BMI. Replication of these novel findings in other prospective studies demonstrating that improvement of  dietary quality leads to delay in knee OA development are needed.

Key words: Western dietary pattern, Prudent dietary pattern, osteoarthritis.

Table. Dietary patterns and risk of knee OA (Hazard ratio, 95% CI)

Quartiles

HR (95% CI) *

P trend

HR (95% CI) ┼

P trend

Western pattern

Q1

1.00 (Ref)

0.03

1.00 (Ref)

0.14

Q2

1.60(1.19,2.16)

1.50(1.11,2.04)

Q3

1.55(1.11,2.17)

1.42(1.01,1.99)

Q4

1.60(1.03,2.51)

1.38(0.88,2.19)

Prudent pattern

Q1

1.00 (Ref)

0.11

1.00 (Ref)

0.22

Q2

0.85(0.63,1.15)

0.87(0.65,1.17)

Q3

0.93(0.69,1.24)

0.97(0.72,1.30)

Q4

0.72(0.52,1.00)

0.76(0.55,1.07)

* Cox proportional hazards model with the discrete likelihood method handling ties in failure times, adjusting for age, sex, race, physical activity, NSAIDs use, injury/surgery, and total energy intake. 

┼ Additionally adjusting for BMI.


Disclosure: B. Lu, None; J. B. Driban, NIAMS-NIH, 2,AXSOME Therapeutics, Inc., 5; T. E. McAlindon, None; C. Eaton, None.

To cite this abstract in AMA style:

Lu B, Driban JB, McAlindon TE, Eaton C. Dietary Patterns and Risk of Developing Knee Osteoarthritis: Data from the Osteoarthritis Initiative [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/dietary-patterns-and-risk-of-developing-knee-osteoarthritis-data-from-the-osteoarthritis-initiative/. Accessed .
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