In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Q: Context: To ascertain the predictive role of longitudinally acquired biochemical measures of cartilage turnover in relation to X-ray defined knee osteoarthritis (OAK), knee pain and functioning.', "This is a feasibility study based on 72 enrollees of the Michigan site of Study of Women's Health Across the Nation (SWAN), a longitudinal, population-based cohort study with 11 annual visits to characterize health at the mid-life. At visits in 1996, 1998 and 2007, radiographs were evaluated for the presence of OAK [>or=2 on the Kellgren and Lawrence (K-L) scale]. Knee pain and stiffness were assessed by interview. Functioning was assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Cartilage oligomeric matrix protein (COMP) and Type II collagen telopeptides (CTX-II) were assayed in serum and urine samples collected on alternate years from 1997 to 2006. We related trajectories of the cartilage biochemical markers from these five time points to OAK severity (no OAK, K-L score<2; mild OAK, K-L score=2; moderate/severe OAK, K-L score=3 or 4), pain, stiffness, or functioning, using longitudinal non-linear mixed modeling.", 'The 2007 prevalence of X-ray defined OAK was 50% in these 72 women. Upward trajectories of COMP (P=0.02) and CTX-II (P=0.006) were associated with increased OAK severity and body size. COMP trajectories were associated with pain and stiffness, but not functioning. CTX-II trajectories were associated with stiffness scores, but not knee pain or functioning scores.\Question: Do longitudinal changes of serum COMP and urinary CTX-II predict X-ray defined knee osteoarthritis severity and stiffness in women?

A: Multiple, biennial measures of COMP or CTX-II taken over a 10-year period were predictive of subsequent OAK and knee stiffness.
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Q: Context: To assess how different imputation methods used to account for missing variance data in primary studies influence tests of heterogeneity and pooled results from a meta-analysis with continuous outcomes.', 'Point and variance estimates for changes in serum creatinine, glomerular filtration rate, systolic blood pressure, and diastolic blood pressure were variably reported among 48 primary longitudinal studies of living kidney donors (71%-78% of point estimates were reported, 8%-13% of variance data were reported). We compared the results of meta-analysis, which either were restricted to available data or used four methods to impute missing variance data. These methods used reported P-values, reported nonparametric summaries, results from other similar studies using multiple imputation, or results from estimated correlation coefficients.', 'Significant heterogeneity was present in all four outcomes regardless of the imputation methods applied. The random effects point estimates and 95% confidence intervals varied little across imputation methods, and the differences were not clinically significant.\Question: Do imputing variance estimates alter the conclusions of a meta-analysis with continuous outcomes : a case study of changes in renal function after living kidney donation?

A: Different methods to impute the variance data in the primary studies did not alter the conclusions from this meta-analysis of continuous outcomes. Such reproducibility increases confidence in the results. However, as with most meta-analyses, there was no gold standard of truth, and results must be interpreted judiciously. The generalization of these findings to other meta-analyses, which differ in outcomes, missing data, or between-study heterogeneity, requires further consideration.
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Q: Context: Although few studies have examined cardiovascular disease in Asian-American subgroups separately, limited data in Asian Americans strongly suggest that some subgroups are at increased risk. The present study examined modifiable cardiovascular risk factor profiles as a function of Asian ethnicity.', 'This descriptive cross-sectional pilot study recruited Asian-American women (N=147) in northeast Florida including Cambodians (n=39), Chinese (n=36), Filipinos (n=49), and Vietnamese (n=23). Risk factors included blood pressure, body mass index, waist circumference and blood lipids.', 'Filipino participants (41%) had 4 risk factors compared to 21% Cambodian, 13% Vietnamese and 0% Chinese. The Chinese had significantly more participants (44%) with the absence of CVD risk factors compared to all other subgroups. Obesity rate (18%), mean BMI: 26 5 kg/m(2) and mean triglycerides (173 103 mg/dL) were highest in Filipinas (n=49). The Chinese (n=36) had a low rate (4%) of obesity with a mean BMI of 23 3 kg/m(2) and the least risk factors along with the lowest triglycerides (88 44 mg/dL). Cambodians (n=39; BMI of 24 3 kg/m(2)) and Vietnamese (n=23; BMI: 22 3 kg/m(2)) had low rates of obesity with comparable rates of unhealthy lipids and hypertension as the Filipinas.\Question: Does one size fit all : cardiovascular health disparities as a function of ethnicity in Asian-American women?

A:
Modifiable CVD risk factor profiles significantly differed as a function of ethnicity supporting the premise that Asian-American women cannot be categorized as one group and the traditional "one size fits all" prevention or treatment of CVD risk factors should be re-considered.
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