| Literature DB >> 23877741 |
Roberta Aguiar Sarmento, Flávia Moraes Silva, Graciele Sbruzzi, Beatriz D'Agord Schaan, Jussara Carnevale de Almeida.
Abstract
BACKGROUND: Inverse associations between micronutrient intake and cardiovascular outcomes have been previously shown, but did not focus on diabetic patients.Entities:
Mesh:
Substances:
Year: 2013 PMID: 23877741 PMCID: PMC4032304 DOI: 10.5935/abc.20130146
Source DB: PubMed Journal: Arq Bras Cardiol ISSN: 0066-782X Impact factor: 2.000
Figure 1The study selection flow diagram.
Main features of studies
| Rajpathak et al[ | case-control | 886 | not reported | not reported | 40-75 | 100% men | not reported | chromium |
| Lee et al[ | cohort (15 years) | 1923 | not reported | 10.3 years | 62.2 | 100% women | 30.1 | vitamin C |
| Rajpathak et al[ | case-control | 886 | not reported | not reported | 40-75 | 100% men | not reported | selenium |
| Costacou et al[ | case-control | i2i | type 1 | 26.7 years | 34.6 | 47.9% women | 24.2 | a-tocopherol |
| Soinio et al[ | cohort (7 years) | i059 | type 2 | not reported | 45-64 | 45.1% women | 27.9 | zinc |
DM: Diabetes Mellitus; BMI: body mass index.
Main results of the studies Included In the review
| Rajpathak et al. (2004)[ | toenail chrome (μg/g) | upper quartile (>2.08) vs. other quartiles | CVD (198/886) | OR = 0.68 (0.42-1.10) | Age, BMI, alcohol, smoking, family history of AMI, physical activity, hypercholesterolemia, hypertension, dietary fats, fiber, glycemic load, folate and selenium levels, and mercury in toenail. | |
| Lee et al. (2004)[ | vitamin C (mg/day) | diet and supplementation | upper quintile (>667) vs. other quintiles | CVD (281/1923) | RR = 1.84 (1.12-3.01) | Age, energy, WHR, BMI, physical activity, smoking, alcoholism, education, marital status, HRT, treatment and duration of DM, dietary fats, vitamin E, β-carotene and folate. |
| CAD (175/1923) | RR = 1.91 (1.05-3.48) | |||||
| Stroke (57/1923) | RR = 2.57 (0.86-7.66) | |||||
| only diet | upper quintile (>251) vs. other quintiles | CVD (281/1923) | RR = 1.11 (0.66-1.87) | Age, energy, WHR, BMI, physical activity, smoking, alcoholism, education, marital status, HRT, treatment and DM duration, dietary fats, vitamin E, p-carotene, folate,and vitamin C supplements. | ||
| CAD (175/1923) | RR = 1.08 (0.57-2.06) | |||||
| Stroke (57/1923) | RR = 1.89 (0.60-6.03) | |||||
| only supplementation | upper quartile (>300) vs. other quartiles | CVD (281/1923) | RR = 1.69 (1.09-2.44) | Age, energy, WHR, BMI, physical activity, smoking, alcoholism, education, marital status, HRT treatment and DM duration, and vitamin C. | ||
| CAD (175/1923) | RR = 2.07 (1.27-3.38) | |||||
| Stroke (57/1923) | RR = 2.37 (1.01-5.57) | |||||
| Rajpathak et al. (2005)[ | toenail selenium (μg/g) | upper quartile (>1.20) vs. other quartiles | CVD (198/886) | OR = 1.47 (0.92-2.35) | Age, BMI, alcohol, smoking, family history of MI, physical activity, hypercholesterolemia, hypertension, dietary fats, fiber, glycemic load, folate and chromium, and mercury levels in toenail. | |
| Costacou et al. (2006)[ | serum α-tocopherol (μg/ml) | high levels (>10.45) vs. low levels | CAD (54/121) | HR = 0.71 (0.53-0.94) | Adjustment model is not specified. | |
| Soinio et al. (2007)[ | serum zinc (μmol/L) | lower quartile (<14.1) vs. other quartiles | Fatal CAD (156/1059) | RR = 1.70 (1.21-2.38) | Age, sex, DM duration, total cholesterol, HDL-c, triglycerides, HbAlc, GFR, hypertension, smoking, BMI, residence place, and DM treatment. | |
| Fatal CAD or non-fatal AMI (254/1059) | RR = 1.37 (1.03-1.82) | |||||
CAD: coronary artery disease; CVD: cardiovascular disease; DM: Diabetes Mellitus; AMI: acute myocardial infarction; OR: odds ratio; HR: hazard ratio; RR: relative risk; CI: confidence interval; WHR: waist-to-hip ratio; BMI: body mass index; HRT hormone replacement therapy; HDL-c: HDL-cholesterol; HbA1c: glycated hemoglobin; GFR: glomerular filtration rate.
Methodological quality of studies included in this review
| Issue clear, focused, and appropriate | Yes | Yes | Yes | Yes | Yes |
| Exposure status assessed by valid and standardized way | Yes | Yes | Yes | Yes | No |
| Outcomes assessed by valid and standardized way | Yes | Yes | Yes | Yes | Yes |
| Outcomes evaluated by investigators blinded to the exposure | Not described | Not described | Yes | Yes | Not described |
| Potential confounding factors considered in the analysis of data | Yes | Yes | Yes | Yes | Not described |
| Results clearly presented and discussed | Yes | Yes | Yes | Yes | No |
| Sufficient follow-up duration | Yes | Yes | Not applicable | Not applicable | Not applicable |
| Selection of participants controlled for potential confounders | Yes | Yes | Not applicable | Not applicable | Not applicable |
| Sample size similar between cases and controls | Not applicable | Not applicable | No | No | Yes |
| Data collected similarly for cases and controls | Not applicable | Not applicable | Yes | Yes | Yes |
| Exclusion criteria applied similarly for cases and controls | Not applicable | Not applicable | Not described | Not described | Not described |
| Clearly defined cases | Not applicable | Not applicable | Yes | Yes | Yes |
| Controls clearly defined | Not applicable | Not applicable | Yes | Yes | Yes |
| Follow-up losses similar between cases and controls | Not applicable | Not applicable | Not described | Not described | Not described |