The role of meat in the expression of rheumatoid arthritis

Grant, William B.

doi:10.1017/s0007114500001926

Cited by 69 publications

(44 citation statements)

References 50 publications

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“…It is also appealing from a computational perspective as it enables the use of conditional MCMC algorithms, such as the Gibbs sampler, and hence eliminates the need for computationally expensive matrix inversion. Unfortunately, however, the conditional specification given by (14) does not yield a proper joint distribution for U (i.e. one that integrates to some finite value), since the induced precision matrix is not positive definite.…”

Section: Specification Of Spatial Structurementioning

confidence: 99%

Geographic‐based ecological correlation studies using supplemental case–control data

Haneuse

Wakefield

2007

Statistics in Medicine

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It is well known that the ecological study design suffers from a variety of biases that render the interpretation of its results difficult. Despite its limitations, however, the ecological study design is still widely used in a range of disciplines. The only solution to the ecological inference problem is to supplement the aggregate data with individual-level data and, to this end, Haneuse and Wakefield (Biometrics 2007; 63:128-136) recently proposed a hybrid study design in which an ecological study is supplemented with a sample of case-control data. The latter provides the basis for the control of bias, while the former may provide efficiency gains. Building on that work, we illustrate the use of the hybrid design in the context of a geographical correlation study of lung cancer mortality from the state of Ohio. Focusing on epidemiological applications, we initially provide an overview of the use of ecological studies in scientific research, highlighting the breadth of current application as well as advantages and drawbacks of the design. We consider the interplay between the two sources of information in the design: ecological and case-control, and then provide details on a Bayesian spatial random effects model in the setting of the hybrid design. Issues of specification are addressed, as well as sensitivity to modeling assumptions. Further, an interesting feature of these data is that they provide an example of how the proposed design may be used to resolve the ecological fallacy.

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Section: Specification Of Spatial Structurementioning

confidence: 99%

Geographic‐based ecological correlation studies using supplemental case–control data

Haneuse

Wakefield

2007

Statistics in Medicine

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“…Historically, diet has received considerable attention as a potential risk factor. Although studies have suggested associations, mainly regarding fruit, vegetables, meat and disease development, the results have been inconclusive [4][5][6][7][8][9][10]. Regarding the consumption of alcohol, recently published meta-analyses concluded that moderate consumption of alcohol intake is inversely associated with the development of RA [11,12].…”

Section: Introductionmentioning

confidence: 99%

Diet and alcohol as risk factors for rheumatoid arthritis: a nested case–control study

2014

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The aim of this study was to investigate whether alcohol and diet, assessed as both macronutrients and dietary patterns, increased the risk of development of rheumatoid arthritis (RA) through a nested case-control design in the Västerbotten Intervention Program (VIP) cohort. Individuals in the VIP who had developed RA after the dietary survey were identified from medical records at the department of rheumatology at the University Hospital, Umeå (n = 386), and matched to 1,886 controls from the same database. Diet was assessed as food groups, as macronutrients and as scores of dietary patterns, namely the carbohydrate-restricted diet score, the Mediterranean diet score and the healthy diet indicator score. When analysing the dietary patterns, consumption of food groups and different macronutrients, a significant association was found in the highest tertile of carbohydrate-restricted diet among the cases with a subsequent anti-CCP-positive disease 1.40 (1.02-1.92), as well as in the highest tertile of protein consumption among smokers (OR = 1.80, 95% CI 1.09-2.95). However, after additional adjustment for sodium intake, these associations were no longer statistically significant. No association was observed between alcohol consumption and the risk of RA. To summarize, there were no significant associations between diet, or alcohol consumption, and the risk of development of RA within this cohort. The lack of any significant associations of alcohol consumption may be explained by a low consumption in the studied population overall or alternatively by methodological issues raised recently.

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“…Furthermore, low-protein diets may improve RA symptoms [10-13]. In ecologic studies, the prevalence of RA is higher in countries with greater consumption of red meat [14]. More recently, Pattison and colleagues [15] reported the first prospective investigation of red meat and risk for inflammatory polyarthritis (IP) and concluded that higher intakes of both red meat and protein increased the risk for IP, whereas iron – another nutrient component of meat – exhibited no association.…”

Section: Introductionmentioning

confidence: 99%

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et al. 2007

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A recent prospective study showed that higher consumption of red meat and total protein was associated with increased risk for inflammatory polyarthritis. We therefore prospectively examined the relationship between diet (in particular, protein, iron, and corresponding food sources) and incident rheumatoid arthritis (RA) among 82,063 women in the Nurses' Health Study. From 1980 to 2002, 546 incident cases of RA were confirmed by a connective tissue disease screening questionnaire and medical record review for American College of Rheumatology criteria for RA. Diet was assessed at baseline in 1980 and five additional times during follow up. We conducted Cox proportional hazards analyses to calculate the rate ratio of RA associated with intakes of protein (total, animal, and vegetable) and iron (total, dietary, from supplements, and heme iron) and their primary food sources, adjusting for age, smoking, body mass index, and reproductive factors. The multivariate models revealed no association between RA and any measure of protein or iron intake. In comparisons of highest with lowest quintiles of intake, the rate ratio for total protein was 1.17 (95% confidence interval 0.89-1.54; P for trend = 0.11) and for total iron it was 1.04 (95% confidence interval 0.77-1.41; P for trend = 0.82). Red meat, poultry, and fish were also not associated with RA risk. We were unable to confirm that there is an association between protein or meat and risk for RA in this large female cohort. Iron was also not associated with RA in this cohort.

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The role of meat in the expression of rheumatoid arthritis

Cited by 69 publications

References 50 publications

Geographic‐based ecological correlation studies using supplemental case–control data

Geographic‐based ecological correlation studies using supplemental case–control data

Diet and alcohol as risk factors for rheumatoid arthritis: a nested case–control study

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