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Body mass index, abdominal fatness, weight gain and the risk of psoriasis: a systematic review and dose-response meta-analysis of prospective studies.
Aune, D, Snekvik, I, Schlesinger, S, Norat, T, Riboli, E, Vatten, LJ
European journal of epidemiology. 2018;33(12):1163-1178
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Psoriasis is an immune-mediated inflammatory skin disease characterised by red, itchy, scaly and flaky skin. Research has shown an association between adiposity and inflammation cytokine release triggered by adipose tissue and increased body mass index and psoriasis. In this meta-analysis, seven prospective studies were included, and the association between BMI, abdominal fat, and psoriasis was examined. According to this meta-analysis, the relative risk of psoriasis increases by 19% for every 5-unit increase in BMI, 24% for a 10 cm increase in waist circumference, 37% for a 0.1-unit increase in waist-to-hip ratio, and 11% for a 5 kg weight gain. The risk of psoriasis was lower for people with a BMI below 20, and it was significantly higher for those with a BMI between 22.5-24. Psoriasis risk was positively associated with waist circumference, waist-to-hip ratio, and weight gain. Psoriasis risk escalates by 2-4 times with an increase in each measure of adiposity. Several potential strategies to reduce the risk of psoriasis are identified in this meta-analysis, including weight loss, dietary factors, and physical activity. To evaluate their effectiveness and develop appropriate strategies, further robust studies are needed. Healthcare professionals can use the results of this study to develop potential therapeutic strategies to reduce the risk of psoriasis by understanding the mechanisms and factors associated with the disease.
Abstract
Greater body mass index (BMI) has been associated with increased risk of psoriasis in case-control and cross-sectional studies, however, the evidence from prospective studies has been limited. We conducted a systematic review and dose-response meta-analysis of different adiposity measures and the risk of psoriasis to provide a more robust summary of the evidence based on data from prospective studies. PubMed and Embase databases were searched for relevant studies up to August 8th 2017. Summary relative risks (RRs) and 95% confidence intervals (CIs) were calculated using a random effects model. The summary relative risk (RR) for a 5 unit increment in BMI was 1.19 (95% CI 1.10-1.28, I2 = 83%, n = 7). The association appeared to be stronger at higher compared to lower levels of BMI, pnonlinearity < 0.0001, and the lowest risk was observed at a BMI around 20. The summary RR was 1.24 (95% CI 1.17-1.31, I2 = 0%, pheterogeneity = 0.72, n = 3) per 10 cm increase in waist circumference, 1.37 (95% CI 1.23-1.53, I2 = 0%, pheterogeneity = 0.93, n = 3) per 0.1 unit increase in waist-to-hip ratio, and 1.11 (95% CI 1.07-1.16, I2 = 47%, pheterogeneity = 0.15, n = 3) per 5 kg of weight gain. Adiposity as measured by BMI, waist circumference, waist-to-hip ratio, and weight gain is associated with increased risk of psoriasis.
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Dairy product consumption and risk of hip fracture: a systematic review and meta-analysis.
Bian, S, Hu, J, Zhang, K, Wang, Y, Yu, M, Ma, J
BMC public health. 2018;18(1):165
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Dairy products contain calcium and Vitamin D, two elements that are known to support bone health. The consumption of dairy products therefore, may affect the risk of bone fracture, however the research remains inconclusive. This meta-analysis examined and quantified the potential association between dairy consumption and the risk of hip fracture. The final analysis included 10 cohort studies and 8 case-control studies. After pooling the data from these studies, the researchers concluded that: • Consumption of yoghurt and cheese was associated with a lower risk of hip fracture • Consumption of total dairy products and cream was not significantly associated with the risk of hip fracture • There was insufficient evidence to deduce an association between milk consumption and the risk of hip fracture. 200g of milk per day may be beneficial however the effects of higher volumes were unclear.
Abstract
BACKGROUND Dairy product consumption may affect the risk of hip fracture, but previous studies have reported inconsistent findings. The primary aim of our meta-analysis was to examine and quantify the potential association of dairy product consumption with risk of hip fracture. METHODS We searched the databases of PubMed and EMBASE for relevant articles from their inception through April 17, 2017. The final analysis included 10 cohort studies and 8 case-control studies. Random-effects models were used to estimate the pooled risk. Subgroup and dose-response analyses were conducted to explore the relationships between the consumption of milk and the risk of hip fracture. RESULTS After pooling the data from the included studies, the summary relative risk (RR) for hip fracture for highest versus lowest consumption were 0.91 (95% CI: 0.74-1.12), 0.75 (95% CI: 0.66-0.86), 0.68 (95% CI: 0.61-0. 77), 1.02 (95% CI: 0.93-1.12) for milk, yogurt, cheese, and total dairy products in cohort studies, respectively. Higher milk consumption [Odds ratio (OR), 0.71, 95% CI: 0.55-0. 91] was associated with lower risk of hip fracture for highest versus lowest consumption in case-control studies. After quantifying the specific dose of milk, the summary RR/OR for an increased milk consumption of 200 g/day was 1.00 (95% CI: 0.94-1.07), and 0.89 (95%CI: 0.64-1.24) with significant heterogeneity for cohort and case-control studies, respectively; There was a nonlinear association between milk consumption and hip fracture risk in cohort, and case-control studies. CONCLUSIONS Our findings indicate that consumption of yogurt and cheese was associated with lower risk of hip fracture in cohort studies. However, the consumption of total dairy products and cream was not significantly associated with the risk of hip fracture. There was insufficient evidence to deduce the association between milk consumption and risk of hip fracture. A lower threshold of 200 g/day milk intake may have beneficial effects, whereas the effects of a higher threshold of milk intake are unclear.
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Resistance Training Prevents Muscle Loss Induced by Caloric Restriction in Obese Elderly Individuals: A Systematic Review and Meta-Analysis.
Sardeli, AV, Komatsu, TR, Mori, MA, Gáspari, AF, Chacon-Mikahil, MPT
Nutrients. 2018;10(4)
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Caloric restriction (55% carbohydrate, 15% protein, 30% fat) is associated with increased lifespans and the attenuation of the harmful effects of aging. Furthermore, it has been shown that resistance training increases lean body mass, promotes strength, and attenuates muscle loss and function in elderly people. The aim of the study is to determine the level of lean body mass that can be preserved when resistance training is associated with caloric restriction interventions in elderly obese humans. The study is a meta-analysis, based on data from randomised-controlled trials. The participants were older adults or elderly people with a mean age > 57 year. Results indicate that caloric restriction associated with resistance training prevents 93% lean body mass loss induced by caloric restriction. Authors conclude that caloric restriction with resistance training almost stopped caloric restriction induced lean body mass loss completely.
Abstract
It remains unclear as to what extent resistance training (RT) can attenuate muscle loss during caloric restriction (CR) interventions in humans. The objective here is to address if RT could attenuate muscle loss induced by CR in obese elderly individuals, through summarized effects of previous studies. Databases MEDLINE, Embase and Web of Science were used to perform a systematic search between July and August 2017. Were included in the review randomized clinical trials (RCT) comparing the effects of CR with (CRRT) or without RT on lean body mass (LBM), fat body mass (FBM), and total body mass (BM), measured by dual-energy X-ray absorptiometry, on obese elderly individuals. The six RCTs included in the review applied RT three times per week, for 12 to 24 weeks, and most CR interventions followed diets of 55% carbohydrate, 15% protein, and 30% fat. RT reduced 93.5% of CR-induced LBM loss (0.819 kg [0.364 to 1.273]), with similar reduction in FBM and BM, compared with CR. Furthermore, to address muscle quality, the change in strength/LBM ratio tended to be different (p = 0.07) following CRRT (20.9 ± 23.1%) and CR interventions (−7.5 ± 9.9%). Our conclusion is that CRRT is able to prevent almost 100% of CR-induced muscle loss, while resulting in FBM and BM reductions that do not significantly differ from CR.
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Effectiveness and safety of carbohydrate counting in the management of adult patients with type 1 diabetes mellitus: a systematic review and meta-analysis.
Vaz, EC, Porfírio, GJM, Nunes, HRC, Nunes-Nogueira, VDS
Archives of endocrinology and metabolism. 2018;62(3):337-345
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Glycaemic control of patients with diabetes mellitus is important because it impacts the development of diabetic complications. Carbohydrate counting is a meal planning tool that allows for great variation and flexibility in food choices among individuals with diabetes mellitus. The aim of the study was to evaluate the effectiveness and safety of carbohydrate counting in the treatment of adult patients with type 1 diabetes mellitus using a systematic literature review. The study included randomised controlled trials with at least 3 months of follow-up, and evaluation of outcomes in which patients were randomly divided into two groups. The meta-analysis showed that the final haemoglobin A1c (HbA1c) - a test that shows the average blood glucose levels for the last two to three months - was significantly lower in the carbohydrate counting group than in the control group. Authors conclude that the meta-analysis showed evidence favouring the use of carbohydrate counting in the management of adult patients with type 1 diabetes mellitus. However, this benefit was limited to the final HbA1c.
Abstract
OBJECTIVE This study aimed to evaluate the effectiveness and safety of carbohydrate counting (CHOC) in the treatment of adult patients with type 1 diabetes mellitus (DM1). MATERIALS AND METHODS We performed a systematic review of randomized studies that compared CHOC with general dietary advice in adult patients with DM1. The primary outcomes were changes in glycated hemoglobin (HbA1c), quality of life, and episodes of severe hypoglycemia. We searched the following electronic databases: Embase, PubMed, Lilacs, and the Cochrane Central Register of Controlled Trials. The quality of evidence was analyzed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE). RESULTS A total of 3,190 articles were identified, and two reviewers independently screened the titles and abstracts. From the 15 potentially eligible studies, five were included, and 10 were excluded because of the lack of randomization or different control/intervention groups. Meta-analysis showed that the final HbA1c was significantly lower in the CHOC group than in the control group (mean difference, random, 95% CI: -0.49 (-0.85, -0.13), p = 0.006). The meta-analysis of severe hypoglycemia and quality of life did not show any significant differences between the groups. According to the GRADE, the quality of evidence for severe hypoglycemia, quality of life, and change in HbA1c was low, very low, and moderate, respectively. CONCLUSION The meta-analysis showed evidence favoring the use of CHOC in the management of DM1. However, this benefit was limited to final HbA1c, which was significantly lower in the CHOC than in the control group.
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Body composition status and the risk of migraine: A meta-analysis.
Gelaye, B, Sacco, S, Brown, WJ, Nitchie, HL, Ornello, R, Peterlin, BL
Neurology. 2017;88(19):1795-1804
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Both migraine and obesity are conditions associated with substantial personal and societal burdens. The aim of this study was to evaluate the pooled risk of migraine by body composition status as characterized by the WHO physical status categories and the influence of age and sex on this relationship. This study is a meta-analysis of twelve studies with data from 288,981 unique participants. The age of the participants ranged between 18 and 98 years. Results indicate that obesity and underweight status are associated with an increased risk of migraine, and that age and sex are important covariates for the increased risk. Authors conclude that further research to better understand the mechanisms underlying the association between body composition and migraine, has the potential to advance the understanding of migraine and lead to the development of targeted therapeutic strategies based on obesity status.
Abstract
OBJECTIVE To evaluate the association between migraine and body composition status as estimated based on body mass index and WHO physical status categories. METHODS Systematic electronic database searches were conducted for relevant studies. Two independent reviewers performed data extraction and quality appraisal. Odds ratios (OR) and confidence intervals (CI) were pooled using a random effects model. Significant values, weighted effect sizes, and tests of homogeneity of variance were calculated. RESULTS A total of 12 studies, encompassing data from 288,981 unique participants, were included. The age- and sex-adjusted pooled risk of migraine in those with obesity was increased by 27% compared with those of normal weight (odds ratio [OR] 1.27; 95% confidence interval [CI] 1.16-1.37, p < 0.001) and remained increased after multivariate adjustments. Although the age- and sex-adjusted pooled migraine risk was increased in overweight individuals (OR 1.08; 95% CI 1.04, 1.12, p < 0.001), significance was lost after multivariate adjustments. The age- and sex-adjusted pooled risk of migraine in underweight individuals was marginally increased by 13% compared with those of normal weight (OR 1.13; 95% CI 1.02, 1.24, p < 0.001) and remained increased after multivariate adjustments. CONCLUSIONS The current body of evidence shows that the risk of migraine is increased in obese and underweight individuals. Studies are needed to confirm whether interventions that modify obesity status decrease the risk of migraine.
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Lycopene and Risk of Prostate Cancer: A Systematic Review and Meta-Analysis.
Chen, P, Zhang, W, Wang, X, Zhao, K, Negi, DS, Zhuo, L, Qi, M, Wang, X, Zhang, X
Medicine. 2015;94(33):e1260
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Lycopene is an antioxidant agent derived from tomatoes, with possible anti-cancer properties including inhibiting growth factors, promoting cell apoptosis, and preventing carcinogenesis. This 2014 meta-analysis reviewed 26 studies and a total of 17,517 prostate patients to see if dose-dependent lycopene supplementation reduced the incidence of prostate cancer compared to 563,299 controls. Prostate cancer (PCa) is the second most common cancer, and a cause of mortality in men. General lycopene intake, via supplementation, showed a slight trend in reducing risk factors for prostate cancer but it was only significant when data from one study was removed to improve the data quality. However, dose-dependent analysis showed that each 5 mg/day increase in lycopene decreased the risk ratio. A higher lycopene consumption of 9 to 21 mg/d was inversely associated with a reduced risk of PCa. High circulating plasma levels of lycopene between 2.17 and 85mg/dL was linearly inversed with PCa risk. Interestingly sub-group analysis of important confounders such as age, family history, energy intake, BMI did not differ considerably between studies. The data was collected from food questionnaires so there may be slight limitations of reporting between the various studies. The study concludes that lycopene may reduce the risk of prostate cancer, but more studies are required to understand the mechanism.
Abstract
Prostate cancer (PCa) is a common illness for aging males. Lycopene has been identified as an antioxidant agent with potential anticancer properties. Studies investigating the relation between lycopene and PCa risk have produced inconsistent results. This study aims to determine dietary lycopene consumption/circulating concentration and any potential dose-response associations with the risk of PCa. Eligible studies published in English up to April 10, 2014, were searched and identified from Pubmed, Sciencedirect Online, Wiley online library databases and hand searching. The STATA (version 12.0) was applied to process the dose-response meta-analysis. Random effects models were used to calculate pooled relative risks (RRs) and 95% confidence intervals (CIs) and to incorporate variation between studies. The linear and nonlinear dose-response relations were evaluated with data from categories of lycopene consumption/circulating concentrations. Twenty-six studies were included with 17,517 cases of PCa reported from 563,299 participants. Although inverse association between lycopene consumption and PCa risk was not found in all studies, there was a trend that with higher lycopene intake, there was reduced incidence of PCa (P = 0.078). Removal of one Chinese study in sensitivity analysis, or recalculation using data from only high-quality studies for subgroup analysis, indicated that higher lycopene consumption significantly lowered PCa risk. Furthermore, our dose-response meta-analysis demonstrated that higher lycopene consumption was linearly associated with a reduced risk of PCa with a threshold between 9 and 21 mg/day. Consistently, higher circulating lycopene levels significantly reduced the risk of PCa. Interestingly, the concentration of circulating lycopene between 2.17 and 85 μg/dL was linearly inversed with PCa risk whereas there was no linear association >85 μg/dL. In addition, greater efficacy for the circulating lycopene concentration on preventing PCa was found for studies with high quality, follow-up >10 years and where results were adjusted by the age or the body mass index. In conclusion, our novel data demonstrates that higher lycopene consumption/circulating concentration is associated with a lower risk of PCa. However, further studies are required to determine the mechanism by which lycopene reduces the risk of PCa and if there are other factors in tomato products that might potentially decrease PCa risk and progression.
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Glycemic index, glycemic load, and risk of type 2 diabetes: results from 3 large US cohorts and an updated meta-analysis.
Bhupathiraju, SN, Tobias, DK, Malik, VS, Pan, A, Hruby, A, Manson, JE, Willett, WC, Hu, FB
The American journal of clinical nutrition. 2014;100(1):218-32
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Carbohydrates are the principle dietary components that effect blood glucose concentrations. The association between Type 2 diabetes (T2D) and diets with different levels of sugars and carbohydrates has been controversial in the prevention of T2D. Foods can be measured for their impact on blood glucose concentration using the Glycaemic Index (GI) and the Glycaemic Load (GL). The objective of this meta-analysis was to update previous studies and evaluate the association between the GI and GL of dietary intake and the risk of T2D. The authors found a significant association between the GI and GL of food intake and T2D risk and conclude that high GI and GL foods increase the risk of T2D. However, GI is more strongly associated to T2D than GL.
Abstract
BACKGROUND Epidemiologic evidence for the relation between carbohydrate quality and risk of type 2 diabetes (T2D) has been mixed. OBJECTIVE We prospectively examined the association of dietary glycemic index (GI) and glycemic load (GL) with T2D risk. DESIGN We prospectively followed 74,248 women from the Nurses' Health Study (1984-2008), 90,411 women from the Nurses' Health Study II (1991-2009), and 40,498 men from the Health Professionals Follow-Up Study (1986-2008) who were free of diabetes, cardiovascular disease, and cancer at baseline. Diet was assessed by using a validated questionnaire and updated every 4 y. We also conducted an updated meta-analysis, including results from our 3 cohorts and other studies. RESULTS During 3,800,618 person-years of follow-up, we documented 15,027 cases of incident T2D. In pooled multivariable analyses, those in the highest quintile of energy-adjusted GI had a 33% higher risk (95% CI: 26%, 41%) of T2D than those in the lowest quintile. Participants in the highest quintile of energy-adjusted GL had a 10% higher risk (95% CI: 2%, 18%) of T2D. Participants who consumed a combination diet that was high in GI or GL and low in cereal fiber had an ~50% higher risk of T2D. In the updated meta-analysis, the summary RRs (95% CIs) comparing the highest with the lowest categories of GI and GL were 1.19 (1.14, 1.24) and 1.13 (1.08, 1.17), respectively. CONCLUSION The updated analyses from our 3 cohorts and meta-analyses provide further evidence that higher dietary GI and GL are associated with increased risk of T2D.