Literature DB >> 23872291

Soft drink intake and progression of radiographic knee osteoarthritis: data from the osteoarthritis initiative.

Bing Lu1, Oneeb Ahmad, Fang-Fang Zhang, Jeffrey B Driban, Jeffrey Duryea, Kate L Lapane, Timothy McAlindon, Charles B Eaton.   

Abstract

OBJECTIVES: We examine the prospective association of soft drink consumption with radiographic progression of knee osteoarthritis (OA).
DESIGN: Prospective cohort study.
SETTING: This study used data from the osteoarthritis initiative (OAI). PARTICIPANTS: In OAI, 2149 participants with radiographic knee OA and having dietary data at baseline were followed up to 12, 24, 36 and 48 months. MEASURES: The soft drink consumption was assessed with a Block Brief Food Frequency Questionnaire completed at baseline. To evaluate knee OA progression, we used quantitative medial tibiofemoral joint space width (JSW) based on plain radiographs. The multivariate linear models for repeated measures were used to test the independent association between soft drink intake and the change in JSW over time, while adjusting for body mass index and other potential confounding factors.
RESULTS: In stratified analyses by gender, we observed a significant dose-response relationship between baseline soft drink intake and adjusted mean change of JSW in men. With increasing levels of soft drink intake (none, ≤1, 2-4 and ≥5 times/week), the mean decreases of JSW were 0.31, 0.39, 0.34 and 0.60 mm, respectively. When we further stratified by obesity, a stronger dose-response relationship was found in non-obese men. In obese men, only the highest soft drink level (≥5 times/week) was associated with increased change in JSW compared with no use. In women, no significant association was observed.
CONCLUSIONS: Our results suggest that frequent consumption of soft drinks may be associated with increased OA progression in men. Replication of these novel findings in other studies demonstrating the reduction in soft drink consumption leads to delay in OA progression is needed.

Entities:  

Keywords:  Nutrition & Dietetics; Rheumatology

Year:  2013        PMID: 23872291      PMCID: PMC3717463          DOI: 10.1136/bmjopen-2013-002993

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


To examine the prospective association of soft drink consumption with radiographic progression of knee osteoarthritis (OA). To examine gender differences in effect of soft drink on OA progression. There is a significant dose–response relationship between soft drink intake and radiographic knee OA progression in men, but not in women. A stronger relationship was found in non-obese men. The prospective design, large number of patients with knee OA and the quantitative measures of structural change from sophisticated image processing technology. Consistent findings using semiquantitative as well as quantitative measures of OA progression. Residual confounding may exist for this observational study. Soft drink consumption was based on self-report.

Introduction

Osteoarthritis (OA), a slowly progressing disease characterised by pain, deformity and loss of function, is the major cause of physical disability in older people.1 Nearly 27 million have clinical OA in the USA.2 With the aging of the population, the healthcare burden from OA is expected to increase dramatically during the next few decades.3 However, little is known about the course of OA progression over time in patients with OA. It is, therefore, of great importance to identify modifiable risk factors for OA progression. Over the past few decades, many observational studies have examined risk factors for the incidence and progression of knee OA. Several risk factors (ie, obesity, joint injury and certain sports) have been found to be strongly associated with an increased risk for incident knee OA.4 5 However, findings on risk factors for OA progression have been inconclusive. Except for the level of serum hyaluronic acid and generalised OA, no other risk factor has been consistently associated with the risk of OA progression.6 7 Soft drink consumption has increased rapidly across the globe in recent decades.8 Sugar sweetened beverages intake is a significant contributor to weight gain and has been associated with increased risk of obesity, type 2 diabetes, cardiovascular disease and poor bone health.9––11 Soft drinks may displace essential nutrients and contribute to overall poorer diets,12 while low consumption of vitamin D and antioxidant micronutrients may increase the risk for progression of knee OA.13 14 To our knowledge, no study has linked soft drink consumption to OA progression. We examined the prospective association between consumption of soft drinks and progression of knee OA using data from the osteoarthritis initiative (OAI).

Methods

Subjects

OAI was launched in 2002 by the National Institute of Health to develop resources for the identification of new biomarkers and treatment targets for knee OA. The objective of the OAI was to pool public and private scientific expertise and funding to collect, analyse and make widely available the largest research resource to date of clinical data, radiological information and biospecimens from those at risk for or with knee OA. The OAI began enrolling people aged 45 through 79 years in 2004 and followed them annually for the development or progression of OA. The clinical sites involved were located in Baltimore, Maryland; Columbus, Ohio; Pittsburgh, Pennsylvania and Pawtucket, Rhode Island. OAI has been a longitudinal study of 4796 participants with either established knee OA or significant risk factors for the development of knee OA followed over an 8-year period.15 The follow-up rate was >90% over the first 48 months. The detailed OAI protocol can be found elsewhere.16 For the current study, we included individuals with medial radiographic knee OA in at least one knee at baseline. We excluded knees with severe radiographic OA defined as the baseline Kellgren and Lawrence (KL) grade of 4 or those with primarily lateral joint space narrowing (JSN), and knees in which the difference of rim distance (from tibial plateau to tibial rim closest to femoral condyle) between follow-up and baseline visits were ≥2 mm to minimise possible measurement error of radiographic data. The 2149 participants (3066 knees) with KL grade of 2 or 3 and having dietary data at baseline constituted the study sample. Follow-up at 12, 24, 36 and 48 months were included in this analysis. The overall loss to follow-up rate was 16.8% over the study period.

Radiographic progression of OA

In OAI, current radiographic assessment techniques on plain radiographs involved semiquantitative as well as quantitative assessment of JSN. For the semiquantitative approach, the Osteoarthritis Research Society International grade (OARSI grade: 0=no JSN, 1=definite JSN to 3=severe JSN) has been widely used to measure progression of OA.17 For these analyses, we used the publicly available semiquantitative JSN readings (kXR_SQ_BU, V.11/07/2011, http://oai.epi-ucsf.org). Recently, a quantitative approach has been used to provide a precise measure of joint space width (JSW) in millimetres between the adjacent bones of the knee.18 19 Multiple JSWs were measured at fixed locations along the joint in medial compartment, denoted as JSW(x), at 0.025 intervals for x=0.15–0.30. The reproducibility of this technique and the responsiveness to change have been documented elsewhere,18 20 including one study using OAI data which demonstrated a responsiveness that compared favourably with MRI.20 We used medial JSW at x=0.25 with the best responsiveness of change to quantify the progression of OA.20 We define the repeated measures of the decreases of JSW from baseline to 12, 24, 36 and 48 months as the outcome variable.

Assessment of soft drink consumption

Usual dietary intakes of foods and nutrients including soft drink consumption were assessed at baseline with a Block Brief Food Frequency Questionnaire (FFQ) including 60 food items in OAI.21 The participants were asked how often they had consumed regular soft drinks/bottled drinks (not diet drinks) in the past 12 months (coded as: never, a few times/year, once/month, 2–3 times/month, once/week, twice/week, 3–4 times/week, 5–6 times/week and every day; variable name: V00FFQ69, http://oai.epi-ucsf.org). Based on previous studies9––11 we grouped these into four categories: none, ≤1, 2–4 and ≥5 times/week. Similar questionnaires were used to collect the frequencies of other beverages intake, such as, milk, juice, tea and coffee, etc. This brief FFQ has been validated against three 4-day records in a group of middle-aged women, and against two 7-day records in a group of older men. The absolute value of macronutrients estimated by the reduced questionnaire was a slightly lower than food-record estimates, but most micronutrients were not underestimated.21 22

Information on covariates

Baseline demographic and socioeconomic factors include race/ethnicity, age, sex, marital status, education level, employment status, annual income and social support. Individuals were classified as African-American, white or other racial/ethnic group based on self-report. Education level was categorised as high school or less, college and above college. General clinical parameters include current smoking, alcohol consumption, history of traumatic knee injury and knee surgery, self-reported gout, body mass index (BMI), physical activity, weight change, milk and juice intake, total energy intake and baseline disease severity (KL grade). Physical activity was assessed by using the Physical Activity Scale for the Elderly (PASE), an established questionnaire for measuring physical activity in older individuals that has also been validated in younger participants.23 24 Alcohol consumption (pure alcohol in g/day) was assessed at baseline including separate items for beer, wine and liquor in OAI. In addition, we also adjusted for changes of the beam angles and rim distances (from tibial plateau to tibial rim closest to femoral condyle between follow-up visits and baseline) which indicate knee-positioning consistency for X-ray examination.

Statistical analysis

First we performed exploratory analyses of all variables of interest including the exposure (frequency of soft drink intake), radiographic structural measures (KL grade, JSN score and JSW) and potential confounders described above. Descriptive statistics such as the minimum, maximum, median and mean for each continuous variable and frequency table for each categorical variable was used to summarise the data as well as detect outliers, data entry mistakes and missing values. The primary analysis was to assess the influence of soft drink consumption on the change in JSW over the study period. The primary outcomes were repeated measures of the JSW decreases from baseline to 12, 24, 36 and 48 months, respectively. The initial analyses were unadjusted comparisons of the changes of JSW over time among levels of soft drink intake using analysis of variance and multivariate analysis of variance. Then separate multivariate models for repeated measures by men and women were used to test the independent association between soft drink intake and the decrease in JSW over time, while adjusting for BMI, physical activity, baseline disease severity and potential confounding factors described above. Owing to the hierarchical structure of the data (each participant has two knees over multiple time points), we used general linear mixed models to account for within participant correlation. The final covariance models were evaluated using Akaike’s information criterion and Bayesian information criterion. BMI has been an important factor related to soft drink intake as well as OA progression.9 25 To examine the possible effect modifications, we further performed stratified analyses by obesity (BMI≥30 kg/m2) and also adjusted BMI within each category to reduce the possible residual confounding bias. In addition, the association of soft drink consumption with JSW change may also be mediated through BMI. The indirect effect of BMI was evaluated using Sobel test26 In addition, we also used the first increase of the OARSI JSN grade as the endpoint. We developed a Cox proportional hazards model to assess independent association between soft drink intake and the JSN score change after controlling for other covariates. For each participant, the time of follow-up was calculated from the baseline date to the date of the first increase of JSN grade, death or end of the study, whichever came first. The discrete likelihood method was used for ties of the failure times in the models. We used a robust sandwich covariance estimate to account for the intraclass dependence within individual patients.27 Participants who indicated no soft drink consumption in the past year were chosen as the reference group for all analyses. Adjusted HRs with 95% CIs were used to evaluate the strength of the associations. The proportional hazard assumption was tested based on the smoothed plots of the scaled Schoenfeld residuals. Data analyses were performed using SAS V.9.2 (SAS Institute, Cary, North Carolina, USA).

Results

In this study, we studied 2149 participants from OAI having a total of 3066 eligible knees. All categories of soft drink intake were represented in participants at baseline (none, n=687; ≤1 times/week, n=976; 2–4 times/week, n=285; ≥5 times/week, n=201). Baseline characteristics of participants are shown in table 1 according to levels of soft drink intake. Compared with no soft drink use, high soft drink users were more likely to be men, between 45 and 54 years, not married, not employed, current smokers and have lower education and household income and higher BMI.
Table 1

Baseline characteristics of participants with radiographic knee osteoarthritis according to levels of soft drink intake

VariablesSoft drink intake (times/week)
Total N=2149None, n=687≤1, n=9762–4, n=285≥5, n=201p Value
Age (years), mean (SD)62.4 (9.0)63.9 (8.9)62.7 (8.8)61.6 (9.1)58.0 (8.0)<0.001
Men (%)41.3229.4044.9849.1253.23<0.001
Race/ethnicity (%)
 Non-hispanic White76.0483.7077.3662.4662.69
 Non-hispanic Black20.7512.9519.3634.7434.33
 Others3.213.353.282.812.99<0.001
Education (%)
 ≤High school18.4414.1217.2127.7226.00
 College45.9046.0046.3144.5645.50
 Above college35.6639.8836.4827.7228.50<0.001
Household income (%)
 <25k15.1711.5115.0418.4223.56
 25k–49k27.8527.0627.7731.2026.18
 50k–99k36.0037.1736.9934.9628.80
 100k+20.9824.2620.2015.4121.47<0.001
Married (%)65.0264.7767.9059.6559.500.075
Employed (%)58.2153.3157.8958.6069.150.002
Smoke (%)
 Never54.0751.5353.7959.6556.22
 Current6.384.515.437.0216.42
 Past39.5543.9640.7833.3327.36<0.001
Alcohol (g/day)
 0–<566.0863.7566.1968.7769.65
 5–<1010.8011.2110.4512.987.96
 10+23.1225.0423.3618.2522.390.056
PASE, mean (SD)157 (82)147 (77)161 (82)165 (90)163 (83)0.001
BMI (kg/m2) (%)
 <2515.6820.2316.099.826.47
 25–2938.3936.8339.3440.7035.82
 30+45.9342.9444,5749.4757.71<0.001
Gout (%)3.632.774.005.262.490.447
KL grade (index knee) (%)
 263.4765.0763.5257.8965.67
 336.5334.9336.4842.1134.33<0.001
Milk (times/week)
 None17.1922.2712.6217.3121.89
 ≤130.5228.0932.4129.3331.34
 2–421.3920.5222.8720.4918.41
 ≥530.8929.1132.1032.8628.360.657

BMI, body mass index; KL, Kellgren-Lawrence Scale; PASE, Physical Activity Scale for the Elderly score.

Baseline characteristics of participants with radiographic knee osteoarthritis according to levels of soft drink intake BMI, body mass index; KL, Kellgren-Lawrence Scale; PASE, Physical Activity Scale for the Elderly score. Results of multivariable analyses are shown in table 2 in men and women. We observed a significant dose–response relationship in men between soft drink intake and adjusted mean decreases of JSW in men (p trend <0.001) after controlling for age, race, education, marital status, household income, employment, BMI, physical activity, follow-up time, knee injury and knee surgery, smoking, milk and juice intake, total energy intake, baseline KL grade, weight change, the changes of rim distance and beam angle. With increasing levels of soft drink intake (none, ≤1, 2–4, and ≥5 times/week), the mean decreases of JSW were 0.31, 0.39, 0.34 and 0.60 mm, respectively. When we stratified by obesity, a stronger dose–response relationship was found (decreases of JSW were 0.24, 0.38, 0.32, 0.62, respectively) in non-obese men. In obese men, only the highest soft drink level (≥5 times/week) was associated with increased JSW change compared with no use. The effect of soft drink consumption was different between men and women (p for interaction=0.003). No significant association was observed in women. Table 3 shows the multivariable adjusted HR of OA progression evaluated by time to the first increase of semiquantitative OARSI score. Consistent with JSW analyses, we found that the increasing soft drink intake was associated with the increasing rate of OA progression in men but not in women. Compared with no soft drink intake, the HR for ≤1, 2–4 and ≥5 times/week were 1.56 (95% CI 1.13 to 2.16), 1.55 (95% CI 1.02 to 2.35) and 2.05 (95% CI 1.32 to 3.19), respectively, in men (p trend=0.002). When we stratified by obesity, a dose–response relationship was observed in non-obese as well as obese men. The HRs were 2.30 (95% CI 1.22 to 4.34) and 1.90 (95% CI 1.03 to 3.52), respectively, with the soft drink intake ≥5 times/week compared with no intake. However, no significant association was found in women. In addition, our mediation analysis indicated a modest (3.2%) indirect effect through BMI (p for Sobel test=0.098). In sensitivity analyses, additional adjustment for alcohol consumption and a history of gout in the above models did not change the results.
Table 2

Adjusted mean (SE) decreases of joint space width (JSW) by soft drink intake*

Soft drinks (times/week)Men
Women
NΔJSW (mm)*p Valuep trendNΔJSW (mm)*p Valuep trend
Overall
 None2020.31 (0.03)Referent4850.32 (0.02)Referent
 ≤14390.39 (0.02)0.0555370.33 (0.02)0.626
 2–41400.34 (0.04)0.5401450.36 (0.04)0.331
 ≥51070.60 (0.05)<0.001<0.001940.30 (0.05)0.7510.756
Non-obese
 None1130.24 (0.04)Referent2790.30 (0.03)Referent
 ≤12660.38 (0.03)0.0102770.30 (0.03)0.946
 2–4850.32 (0.05)0.236600.35 (0.06)0.395
 ≥5530.62 (0.07)<0.001<0.001320.30 (0.07)0.9550.681
Obese
 None890.40 (0.05)Referent2060.34 (0.03)Referent
 ≤11730.41 (0.03)0.9932600.37 (0.03)0.471
 2–4550.38 (0.06)0.749850.38 (0.05)0.518
 ≥5540.57 (0.06)0.0320.064620.33 (0.06)0.9000.829

*Adjusted for age, race, education, marital status, household income, employment, follow-up time, body mass index, knee injury and knee surgery, smoking, milk and juice intake, total energy intake, baseline Kellgren-Lawrence grade and joint space width (JSW), weight change, the changes of rim distance and beam angle.

Table 3

Soft drink consumption and rate of OA progression measured by the change of medial compartment joint space narrowing score (JSN, OARSI grades 0–3)

Soft drinks (times/week)Men
Women
NHR (95% CI)p trendNHR (95% CI)p trend
Overall
 None202Referent485Referent
 ≤14391.56 (1.13 to 2.16)5370.80 (0.62 to 1.02)
 2–41401.55 (1.02 to 2.35)1451.09 (0.77 to 1.54)
 ≥51072.05 (1.32 to 3.19)0.002940.81 (0.52 to 1.26)0.539
Non-obese
 None113Referent279Referent
 ≤12661.66 (1.05 to 2.63)2770.71 (0.49 to 1.03)
 2–4851.45 (0.80 to 2.60)601.03 (0.59 to 1.80)
 ≥5532.30 (1.22 to 4.34)0.025320.86 (0.41 to 1.84)0.559
Obese
 None89Referent206Referent
 ≤11731.58 (0.99 to 2.52)2600.88 (0.63 to 1.25)
 2–4551.77 (0.96 to 3.28)851.17 (0.74 to 1.84)
 ≥5541.90 (1.03 to 3.52)0.033620.87 (0.50 to 1.52)0.965

*Adjusted for age, race, education, marital status, household income, employment, follow-up time, BMI, knee injury and knee surgery, smoking, milk and juice intake, total energy intake, baseline KL grade.

BMI, body mass index; KL, Kellgren-Lawrence JSN, joint space narrowing; OA, osteoarthritis; OARSI, Osteoarthritis Research Society International.

Adjusted mean (SE) decreases of joint space width (JSW) by soft drink intake* *Adjusted for age, race, education, marital status, household income, employment, follow-up time, body mass index, knee injury and knee surgery, smoking, milk and juice intake, total energy intake, baseline Kellgren-Lawrence grade and joint space width (JSW), weight change, the changes of rim distance and beam angle. Soft drink consumption and rate of OA progression measured by the change of medial compartment joint space narrowing score (JSN, OARSI grades 0–3) *Adjusted for age, race, education, marital status, household income, employment, follow-up time, BMI, knee injury and knee surgery, smoking, milk and juice intake, total energy intake, baseline KL grade. BMI, body mass index; KL, Kellgren-Lawrence JSN, joint space narrowing; OA, osteoarthritis; OARSI, Osteoarthritis Research Society International.

Discussion

In this 48-month follow-up study of people with radiographic knee OA, we found a positive association with a significant dose–response relationship between soft drink consumption and structural progression of knee OA measured by semiquantitative as well as quantitative JSN independent of BMI and other potential risk factors in men, but not in women. Knee OA progression has been thought to involve multiple mechanisms besides cartilage loss including changes in bone composition, shape, as well as proprioreception,28 29 which might be subject to the influences of macro and micronutrients in the diet. McAlindon et al14 reported that a higher consumption of antioxidant micronutrients, especially vitamin C, might decrease cartilage loss and OA progression, and low vitamin D intake and low serum vitamin D levels might increase the risk for progression of knee OA.13 However, no study investigated the association of soft drink consumption and progression of OA. Sugar sweetened beverages intake is a significant contributor to weight gain and has been associated with increased risk of obesity, type 2 diabetes, cardiovascular disease and poor bone health.10 11 30 Nevertheless, the biological mechanism for soft drinks in the progression of OA remains unclear. One explanation for the observed findings is that soft drinks may substitute for healthy diet. Soft drink consumption may be associated with decreased intakes of protein, milk and dairy products, fruit juice, fruit and a variety of vitamins and nutrients.12 31 One study reported a negative association between soft drink consumption and an overall healthy eating index.32 However, in our analysis, the observed effects remained after adjustment for milk and juice intake supports the likelihood that this is not only due to displacement of other healthy beverages in the diet. We considered the extent to which the sugar in soft drinks leads to OA progression. To further evaluate this, we evaluated the relation between fruit juice consumption and OA progression. Fruit juice consumption was not associated with OA progression in our study (results are not shown). It is possible that vitamins, minerals, soluble fibre and phytochemicals in fruit juices may have beneficial effects counterbalancing potential adverse effects of sugars. Previous studies demonstrated that weight gain and obesity may increase risk of joint space loss, suggestive of cartilage loss, as visualised on radiographs,7 33 34 though these findings are not universally reported. Nevertheless, our mediation analysis indicated that the indirect effect through BMI was modest and the association between soft drinks and OA progression remained after adjustment for BMI, weight change and total energy intake suggestive of independent effects of soft drinks. Soft drinks may contain phosphoric acid, which was shown to interfere with calcium absorption and to contribute to imbalances that lead to additional loss of calcium.35 It has also been suggested that the high fructose corn syrup used to sweeten carbonated beverages may negatively affect bone.36 Long-term effects of soft drinks on OA have not been studied in experimental settings so far, and further research is warranted. Sex differences have been noted in the prevalence, incidence and severity of OA for many years.37 Faber et al38 found cartilage thickness of the distal femur to be less in women than in men. Other evidences suggested a protective effect of exogenous oestrogen on cartilage and bone turnover.39 However, the gender differences in the relationship of soft drink consumption with OA progression are not understood. We found a stronger association between soft drink consumption and JSW change in non-obese men than in obese men. One possible reason is that the effect of soft drink consumption may not be strong enough to provide additional effect beyond obesity. The strengths of this study include the prospective design, large number of patients with knee OA and the state-of-the-art quantitative measures of structural change from sophisticated image processing technology. The quantitative software-based assessment provides a more precise measure of JSW in millimetres and permits the assessor to document appreciable change in JSW in the tibiofemoral compartment18 19 In contrast, the semiquantitative approach, for example, the KL grading or the OARSI score, has limitations that lead to insensitivity to changes in status.40 The consistent findings from quantitative as well as semiquantitative measures of OA progression increase the reliability of the study. In addition, we excluded knees in which the difference of rim distance between follow-up and baseline visits ≥2 mm and adjusted for changes of rim distance and beam angle in the multivariate models to minimise the possible measurement error of radiographic data. Owing to the observational nature of the study, patients were not randomly assigned to soft drink groups. We cannot prove that the observed associations are causal because residual confounding could theoretically affect the observed associations. We controlled for potential confounding by most known risk factors that are plausibly associated with soft drink consumption and changes in these variables over time. However, adjustment for baseline covariates may not completely remove the confounding influence. For example, effect of BMI may be lagged, and the cumulative exposure to overweight/obesity may not be perfectly correlated with baseline BMI. Imprecise dietary measurement could potentially have influenced our observed associations. However, random errors in dietary assessment measures might have accounted for a lack of association but not the reverse. Regarding physical activity, PASE can potentially capture all types of activities and allow grading by intensity for elderly. However, questionnaires have obvious weaknesses considering recall and reporting bias. Also PASE may not be sufficient for assessing PA levels and intensity in younger patients with OA.41 In conclusion, our study suggested that frequent consumption of sweetened soft drinks may be associated with increased OA progression in men. Replication of these novel findings in other prospective studies demonstrating the reduction in soft drink consumption leads to delay in OA progression are needed to test this hypothesis.
  40 in total

1.  Longitudinal radiologic evaluation of osteoarthritis of the knee.

Authors:  M Dougados; A Gueguen; M Nguyen; A Thiesce; V Listrat; L Jacob; J P Nakache; K R Gabriel; M Lequesne; B Amor
Journal:  J Rheumatol       Date:  1992-03       Impact factor: 4.666

Review 2.  Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis.

Authors:  Lenny R Vartanian; Marlene B Schwartz; Kelly D Brownell
Journal:  Am J Public Health       Date:  2007-02-28       Impact factor: 9.308

3.  Validation of questionnaires to estimate physical activity and functioning in end-stage renal disease.

Authors:  K L Johansen; P Painter; J A Kent-Braun; A V Ng; S Carey; M Da Silva; G M Chertow
Journal:  Kidney Int       Date:  2001-03       Impact factor: 10.612

4.  Teenaged girls, carbonated beverage consumption, and bone fractures.

Authors:  G Wyshak
Journal:  Arch Pediatr Adolesc Med       Date:  2000-06

5.  Consumption of bakery products, sweetened soft drinks and yogurt among children aged 6-7 years: association with nutrient intake and overall diet quality.

Authors:  Fernando Rodríguez-Artalejo; Esther López García; Lydia Gorgojo; Carmen Garcés; Miguel Angel Royo; José María Martín Moreno; Mercedes Benavente; Alfonso Macías; Manuel De Oya
Journal:  Br J Nutr       Date:  2003-03       Impact factor: 3.718

6.  Cox regression analysis of multivariate failure time data: the marginal approach.

Authors:  D Y Lin
Journal:  Stat Med       Date:  1994-11-15       Impact factor: 2.373

7.  Relation of dietary intake and serum levels of vitamin D to progression of osteoarthritis of the knee among participants in the Framingham Study.

Authors:  T E McAlindon; D T Felson; Y Zhang; M T Hannan; P Aliabadi; B Weissman; D Rush; P W Wilson; P Jacques
Journal:  Ann Intern Med       Date:  1996-09-01       Impact factor: 25.391

8.  Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part II.

Authors:  Reva C Lawrence; David T Felson; Charles G Helmick; Lesley M Arnold; Hyon Choi; Richard A Deyo; Sherine Gabriel; Rosemarie Hirsch; Marc C Hochberg; Gene G Hunder; Joanne M Jordan; Jeffrey N Katz; Hilal Maradit Kremers; Frederick Wolfe
Journal:  Arthritis Rheum       Date:  2008-01

Review 9.  An update on the pathogenesis and epidemiology of osteoarthritis.

Authors:  David T Felson
Journal:  Radiol Clin North Am       Date:  2004-01       Impact factor: 2.303

Review 10.  Dietary intake and bone status with aging.

Authors:  Katherine L Tucker
Journal:  Curr Pharm Des       Date:  2003       Impact factor: 3.116

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Authors:  Chang Xu; Nathalie E Marchand; Jeffrey B Driban; Timothy McAlindon; Charles B Eaton; Bing Lu
Journal:  Am J Clin Nutr       Date:  2020-03-01       Impact factor: 7.045

2.  Dietary patterns and risk of developing knee osteoarthritis: data from the osteoarthritis initiative.

Authors:  C Xu; T Liu; J B Driban; T McAlindon; C B Eaton; B Lu
Journal:  Osteoarthritis Cartilage       Date:  2021-03-17       Impact factor: 7.507

3.  Analysis of correlation between the consumption of beverages and the risk of radiographic knee osteoarthritis in Korean people: A cross-sectional study using the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V-1, 2).

Authors:  Chae Ouk Lim; Hyung Jun Park; Bong Mo Koo; Bo Taek Kim; Jae Gyoon Kim; Gi Won Choi
Journal:  Medicine (Baltimore)       Date:  2022-09-16       Impact factor: 1.817

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