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Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: Longitudinal analysis from a randomized trial.
González-Palacios, S, Oncina-Cánovas, A, García-de-la-Hera, M, Martínez-González, MÁ, Salas-Salvadó, J, Corella, D, Schröder, H, Martínez, JA, Alonso-Gómez, ÁM, Wärnberg, J, et al
Atherosclerosis. 2023;377:12-23
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Evidence is increasing linking the consumption of ultra-processed foods (UPF) and an increased risk for the development of heart disease. However, there is still uncertainty surrounding how changes in UPF consumption can affect heart disease risk factors. This secondary analysis of a randomised control trial, which looked at the effects of an energy restricted Mediterranean diet in combination with exercise on the prevention of heart disease, aimed to determine how changes in UPF consumption can affect indicators of heart disease risk over a 12-month period. The results showed that high UPF consumption was associated with higher heart disease risk factors including weight, body mass index, waist circumference, diastolic blood pressure, blood sugar levels, measures of insulin resistance, and triglycerides. Further detrimental effects were seen with UPF consumption increasing, and high-density lipoprotein cholesterol decreasing. No associations were seen with systolic blood pressure, total cholesterol, and low-density lipoprotein cholesterol. It was concluded that high UPF consumption has a detrimental effect on heart disease risk. This study could be used by healthcare professionals to recommend a diet low or devoid of UPF to stay heart healthy.
Abstract
BACKGROUND AND AIMS The association between changes in ultra-processed food (UPF) consumption and cardiometabolic risk (CMR) factors remains understudied. We evaluated the association between changes in UPF consumption over 12 months of follow-up and changes in CMR factors in adults diagnosed with metabolic syndrome. METHODS We analysed data from 5373 adults (aged 55-75 years) participating in the PREDIMED-Plus trial. Diet was evaluated at baseline, 6- and 12-month visits using a validated food frequency questionnaire, and UPF consumption (in grams/day and percentage of total daily dietary intake in grams) was categorized based on NOVA classification. We used mixed-effects linear models with repeated measurements at baseline, 6 and 12 months of follow-up to assess the associations between changes in UPF consumption and changes in CMR factors adjusting for sociodemographic and lifestyles variables. RESULTS In multivariable-adjusted models, when comparing the highest versus the lowest quartile of UPF consumption, positive associations were found for several CMR factors: weight (kg, β = 1.09; 95% confidence interval 0.91 to 1.26); BMI (kg/m2, β = 0.39; 0.33 to 0.46); waist circumference (cm, β = 1.03; 0.81 to 1.26); diastolic blood pressure (mm Hg, β = 0.67; 0.29 to 1.06); fasting blood glucose (mg/dl, β = 1.66; 0.61 to 2.70); HbA1c (%, β = 0.04; 0.01 to 0.07); triglycerides (mg/dl, β = 6.79; 3.66 to 9.91) and triglycerides and glucose index (β = 0.06; 0.04 to 0.08). CONCLUSIONS Higher UPF consumption was associated with adverse evolution in objectively measured CMR factors after 12 months of follow-up in adults with metabolic syndrome. Further research is needed to explore whether these changes persist for longer periods.
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Causal relationship between obesity, lifestyle factors and risk of benign prostatic hyperplasia: a univariable and multivariable Mendelian randomization study.
Wang, YB, Yang, L, Deng, YQ, Yan, SY, Luo, LS, Chen, P, Zeng, XT
Journal of translational medicine. 2022;20(1):495
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Benign prostatic hyperplasia (BPH) is a common benign disease in middle-aged and elderly men which is often underestimated and underdiagnosed. If patients are not treated in time, it may lead to serious complications, such as urinary retention, renal insufficiency and renal failure. The aim of this study was to evaluate the possible causal associations of abdominal obesity (measured as waist circumference), overall obesity (measured as body mass index), lifestyle factors (dietary habits, smoking, alcohol drinking, and sedentary behaviour) with risk of BPH. This study is a univariable and multivariable mendelian randomised study. Results show that genetic predisposition to higher waist circumference and sedentary behaviour are independently and causally associated with the risk of BPH. However, there isn’t conclusive evidence that genetic predisposition to relative carbohydrate, fat, protein, and sugar intake, smoking and alcohol drinking are causally associated with the risk of BPH. Authors conclude that further studies are needed to identify comprehensive risk factors on BPH and develop freely accessible prediction models for the BPH. These will help to identify individuals at particular risk and provide decision-making supports for individualised intervention.
Abstract
BACKGROUND Obesity (waist circumference, body mass index (BMI)) and lifestyle factors (dietary habits, smoking, alcohol drinking, Sedentary behavior) have been associated with risk of benign prostatic hyperplasia (BPH) in observational studies, but whether these associations are causal is unclear. METHODS We performed a univariable and multivariable Mendelian randomization study to evaluate these associations. Genetic instruments associated with exposures at the genome-wide significance level (P < 5 × 10-8) were selected from corresponding genome-wide associations studies (n = 216,590 to 1,232,091 individuals). Summary-level data for BPH were obtained from the UK Biobank (14,126 cases and 169,762 non-cases) and FinnGen consortium (13,118 cases and 72,799 non-cases). Results from UK Biobank and FinnGen consortium were combined using fixed-effect meta-analysis. RESULTS The combined odds ratios (ORs) of BPH were 1.24 (95% confidence interval (CI), 1.07-1.43, P = 0.0045), 1.08 (95% CI 1.01-1.17, P = 0.0175), 0.94 (95% CI 0.67-1.30, P = 0.6891), 1.29 (95% CI 0.88-1.89, P = 0.1922), 1.23 (95% CI 0.85-1.78, P = 0.2623), and 1.04 (95% CI 0.76-1.42, P = 0.8165) for one standard deviation (SD) increase in waist circumference, BMI, and relative carbohydrate, fat, protein and sugar intake, 1.05 (95% CI 0.92-1.20, P = 0.4581) for one SD increase in prevalence of smoking initiation, 1.10 (95% CI 0.96-1.26, P = 0.1725) and 0.84 (95% CI 0.69-1.02, P = 0.0741) for one SD increase of log-transformed smoking per day and drinks per week, and 1.31 (95% CI 1.08-1.58, P = 0.0051) for one SD increase in sedentary behavior. Genetically predicted waist circumference (OR = 1.26, 95% CI 1.11-1.43, P = 0.0004) and sedentary behavior (OR = 1.14, 95% CI 1.05-1.23, P = 0.0021) were associated with BPH after the adjustment of BMI. CONCLUSION This study supports independent causal roles of high waist circumference, BMI and sedentary behavior in BPH.
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Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial.
Livingstone, KM, Celis-Morales, C, Navas-Carretero, S, San-Cristobal, R, Forster, H, Woolhead, C, O'Donovan, CB, Moschonis, G, Manios, Y, Traczyk, I, et al
The international journal of behavioral nutrition and physical activity. 2021;18(1):70
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Food4Me is an internet-based personalised nutrition study that evaluates the effectiveness of personalized dietary advice in avoiding discretionary foods compared to conventional advice. In different countries, discretionary foods are classified differently. Therefore, this study included two measures of discretionary foods identified by the Food4Me Food Frequency Questionnaire, which covered 22 discretionary foods classified by Food Standards Scotland and 59 discretionary foods identified by Australian Dietary Guidelines. For six months, 1607 participants from seven European countries were randomly assigned to receive generalised dietary advice or one of three levels of personalised nutrition advice (based on diet [L1], phenotype [L2] and genotype [L3]). Personalised nutrition advice was found to be effective in reducing discretionary foods when categorisation included foods high in fat, added sugar and salt. There was a greater reduction in energy, sugar, salt, and saturated fat intakes in people who received personalised nutrition advice [L1-3] as compared to generalised dietary advice after six months. Results of this study can be used by healthcare professionals to support personalised nutrition strategies in the general population targeting discretionary foods to increase compliance with personalised nutrition strategies and achieve better health outcomes.
Abstract
BACKGROUND The effect of personalised nutrition advice on discretionary foods intake is unknown. To date, two national classifications for discretionary foods have been derived. This study examined changes in intake of discretionary foods and beverages following a personalised nutrition intervention using these two classifications. METHODS Participants were recruited into a 6-month RCT across seven European countries (Food4Me) and were randomised to receive generalised dietary advice (control) or one of three levels of personalised nutrition advice (based on diet [L1], phenotype [L2] and genotype [L3]). Dietary intake was derived from an FFQ. An analysis of covariance was used to determine intervention effects at month 6 between personalised nutrition (overall and by levels) and control on i) percentage energy from discretionary items and ii) percentage contribution of total fat, SFA, total sugars and salt to discretionary intake, defined by Food Standards Scotland (FSS) and Australian Dietary Guidelines (ADG) classifications. RESULTS Of the 1607 adults at baseline, n = 1270 (57% female) completed the intervention. Percentage sugars from FSS discretionary items was lower in personalised nutrition vs control (19.0 ± 0.37 vs 21.1 ± 0.65; P = 0.005). Percentage energy (31.2 ± 0.59 vs 32.7 ± 0.59; P = 0.031), percentage total fat (31.5 ± 0.37 vs 33.3 ± 0.65; P = 0.021), SFA (36.0 ± 0.43 vs 37.8 ± 0.75; P = 0.034) and sugars (31.7 ± 0.44 vs 34.7 ± 0.78; P < 0.001) from ADG discretionary items were lower in personalised nutrition vs control. There were greater reductions in ADG percentage energy and percentage total fat, SFA and salt for those randomised to L3 vs L2. CONCLUSIONS Compared with generalised dietary advice, personalised nutrition advice achieved greater reductions in discretionary foods intake when the classification included all foods high in fat, added sugars and salt. Future personalised nutrition approaches may be used to target intake of discretionary foods. TRIAL REGISTRATION Clinicaltrials.gov NCT01530139 . Registered 9 February 2012.
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Link between gut microbiota and health outcomes in inulin -treated obese patients: Lessons from the Food4Gut multicenter randomized placebo-controlled trial.
Hiel, S, Gianfrancesco, MA, Rodriguez, J, Portheault, D, Leyrolle, Q, Bindels, LB, Gomes da Silveira Cauduro, C, Mulders, MDGH, Zamariola, G, Azzi, AS, et al
Clinical nutrition (Edinburgh, Scotland). 2020;39(12):3618-3628
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A global obesity epidemic has become a growing concern today. Modifying the microbial population in our gut has been identified as a nutritional intervention strategy for managing obesity. Fermentable dietary fibres such as inulin-type fructans may alter the microbial population in the gut. In this randomised, single-blind, multicentric, placebo-controlled study, researchers examined the effect of 16g/d native inulin supplementation with inulin-rich vegetables on obesity and gut bacteria composition over three months in 106 Caucasian subjects. Furthermore, the study examined the synergistic effects of metformin and inulin on gut microbial composition. 75% of the participants lost body weight after taking inulin and making dietary changes. In addition, BMI, fat mass and other metabolic markers decreased in this group. Combined with inulin, metformin showed gut microbial modulation, although an increase in Bifidobacterium species was less noticeable. Supplementing inulin with inulin-rich vegetables caused uncomfortable side effects such as bloating and flatulence. Even though subjects showed a reduction in side effects after the first month of supplementation, it should be considered when making intervention decisions for people prone to digestive issues. Nutrition practitioners can use these results when developing obesity intervention strategies.
Abstract
BACKGROUND The gut microbiota is altered in obesity and is strongly influenced by nutrients and xenobiotics. We have tested the impact of native inulin as prebiotic present in vegetables and added as a supplement on gut microbiota-related outcomes in obese patients. Metformin treatment was analyzed as a potential modulator of the response. METHODS A randomized, single-blinded, multicentric, placebo-controlled trial was conducted in 150 obese patients who received 16 g/d native inulin versus maltodextrin, coupled to dietary advice to consume inulin-rich versus -poor vegetables for 3 months, respectively, in addition to dietary caloric restriction. Anthropometry, diagnostic imaging (abdominal CT-scan, fibroscan), food-behavior questionnaires, serum biology and fecal microbiome (primary outcome; 16S rDNA sequencing) were analyzed before and after the intervention. RESULTS Both placebo and prebiotic interventions lowered energy intake, BMI, systolic blood pressure, and serum γ-GT. The prebiotic induced greater weight loss and additionally decreased diastolic blood pressure, AST and insulinemia. Metformin treatment compromised most of the gut microbiota changes and metabolic improvements linked to prebiotic intervention. The prebiotic modulated specific bacteria, associated with the improvement of anthropometry (i.e. a decrease in Desulfovibrio and Clostridium sensu stricto). A large increase in Bifidobacterium appears as a signature of inulin intake rather than a driver of prebiotic-linked biological outcomes. CONCLUSIONS Inulin-enriched diet is able to promote weight loss in obese patients, the treatment efficiency being related to gut microbiota characteristics. This treatment is more efficacious in patients who did not receive metformin as anti-diabetic drugs prior the intervention, supporting that both drug treatment and microbiota might be taken into account in personalized nutrition interventions. Registered under ClinicalTrials.gov Identifier no NCT03852069.
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Central fatness and risk of all cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies.
Jayedi, A, Soltani, S, Zargar, MS, Khan, TA, Shab-Bidar, S
BMJ (Clinical research ed.). 2020;370:m3324
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Body mass index (BMI) may not be an adequate tool to measure obesity, as it does not describe where fat is located on the body. Distribution of fat around the middle may be related to the risk of death and may be a more accurate measure of obesity. This systematic review of 1950 studies aimed to assess the association of fat around the middle with death. The results showed that every 10cm increase in waist circumference was related to an 11% increased risk of death by any cause. Women with a waist circumference greater than 80cm and 90cm in men had a higher risk of death by any cause. Fat carried around the middle increased the risk of death by any cause, however larger thigh and hip circumferences lowered the risk. This was regardless of BMI. It was concluded that measures of centrally located fat, alongside BMI, could be used to determine the risk of death. This study could be used by healthcare professionals to understand the importance of not solely relying on BMI and measuring where fat is distributed on the body may be an additional measure to determine risk of premature death.
Abstract
OBJECTIVE To quantify the association of indices of central obesity, including waist circumference, hip circumference, thigh circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, with the risk of all cause mortality in the general population, and to clarify the shape of the dose-response relations. DESIGN Systematic review and meta-analysis. DATA SOURCES PubMed and Scopus from inception to July 2019, and the reference lists of all related articles and reviews. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Prospective cohort studies reporting the risk estimates of all cause mortality across at least three categories of indices of central fatness. Studies that reported continuous estimation of the associations were also included. DATA SYNTHESIS A random effects dose-response meta-analysis was conducted to assess linear trend estimations. A one stage linear mixed effects meta-analysis was used for estimating dose-response curves. RESULTS Of 98 745 studies screened, 1950 full texts were fully reviewed for eligibility. The final analyses consisted of 72 prospective cohort studies with 2 528 297 participants. The summary hazard ratios were as follows: waist circumference (10 cm, 3.94 inch increase): 1.11 (95% confidence interval 1.08 to 1.13, I2=88%, n=50); hip circumference (10 cm, 3.94 inch increase): 0.90 (0.81 to 0.99, I2=95%, n=9); thigh circumference (5 cm, 1.97 inch increase): 0.82 (0.75 to 0.89, I2=54%, n=3); waist-to-hip ratio (0.1 unit increase): 1.20 (1.15 to 1.25, I2=90%, n=31); waist-to-height ratio (0.1 unit increase): 1.24 (1.12 to 1.36, I2=94%, n=11); waist-to-thigh ratio (0.1 unit increase): 1.21 (1.03 to 1.39, I2=97%, n=2); body adiposity index (10% increase): 1.17 (1.00 to 1.33, I2=75%, n=4); and A body shape index (0.005 unit increase): 1.15 (1.10 to 1.20, I2=87%, n=9). Positive associations persisted after accounting for body mass index. A nearly J shaped association was found between waist circumference and waist-to-height ratio and the risk of all cause mortality in men and women. A positive monotonic association was observed for waist-to-hip ratio and A body shape index. The association was U shaped for body adiposity index. CONCLUSIONS Indices of central fatness including waist circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, independent of overall adiposity, were positively and significantly associated with a higher all cause mortality risk. Larger hip circumference and thigh circumference were associated with a lower risk. The results suggest that measures of central adiposity could be used with body mass index as a supplementary approach to determine the risk of premature death.
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Sugar-Sweetened Beverage Consumption in Relation to Obesity and Metabolic Syndrome among Korean Adults: A Cross-Sectional Study from the 2012⁻2016 Korean National Health and Nutrition Examination Survey (KNHANES).
Shin, S, Kim, SA, Ha, J, Lim, K
Nutrients. 2018;10(10)
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Obesity and Metabolic Syndrome (MetS) in Korea has increased significantly in the last decade and dietary factors, including the consumption of sugar sweetened drinks, is considered one of the key drivers. Soft drinks, soda coffee, fruit juices, sports drinks and sweetened rice drinks are popular beverages in Asia. Consumption of these is a major source of sugar intake for the Korean population. This study analysed data from over 12,112 participants of the Korean National Health and Nutrition Examination Survey (KNHANES) to see if the consumption of sugar sweetened beverages was causally linked to obesity and MetS. Food questionnaires were used in the original study to assess which foods and drinks the participants consumed during a 1-year period. Within the study group the number of participants with obesity was 34.9% and MetS was 26.7% respectively. They found that the participants who regularly consumed >4 sugar sweetened beverages per week consumed more calories on average than those who did not drink these beverages. In men, it was linked to higher blood pressure and blood glucose levels whilst in women it linked to a higher body mass index (BMI), increased waist circumference, and elevated cholesterol. Overall drinking 1 sugar sweetened beverage per day increased the risks of obesity in women by 59% and MetS by 61% whilst in men it increased the prevalence of obesity by 41% and MetS by 7%. Therefore drinking sugar sweetened beverages increases the risk of both obesity and MetS.
Abstract
It is well known that the consumption of sugar-sweetened beverages (SSBs) increases the risk of developing obesity and metabolic syndrome (MetS). However, there are not many studies investigating the link between SSBs and increased incidences of diseases in the Asian population, and in particular, in Korea. We explored the association of SSB consumption with the risk of developing obesity and MetS among Korean adults (12,112 participants from the 2012⁻2016 Korean National Health and Nutrition Examination Survey). We calculated the total SSB consumption frequency by counting each beverage item, including soda beverages, fruit juices, and sweetened rice drinks. Obesity was defined as a body mass index ≥25 kg/m², and MetS was defined using the National Cholesterol Education Program, Adult Treatment Panel III. A survey logistic regression analyses was conducted to examine the association of SSB consumption with obesity and MetS, adjusting for related confounders such as age, energy intake, household income, education, alcohol drinking, smoking status, and physical activity. The SSB consumption was positively associated with an increased risk of the prevalence for obesity (Odd ratio (OR): 1.60; 95% confidence interval (CI): 1.23⁻2.09; p for trend = 0.0009) and MetS (OR: 1.61; 95% CI: 1.20⁻2.16; p for trend = 0.0003) among women. In men, SSB consumption only contributed to a higher prevalence of obesity (OR: 1.38; 95% CI: 1.11⁻1.72; p for trend = 0.0041). In conclusion, increased consumption of SSBs was closely linked with a higher prevalence of obesity and MetS in the Korean population.
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Is waist-to-height ratio the best predictive indicator of hypertension incidence? A cohort study.
Rezende, AC, Souza, LG, Jardim, TV, Perillo, NB, Araújo, YCL, de Souza, SG, Sousa, ALL, Moreira, HG, de Souza, WKSB, do Rosário Gondim Peixoto, M, et al
BMC public health. 2018;18(1):281
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A variety of methods of measuring body fat are used as tools to predict the risk of developing certain lifestyle-related diseases such as high blood pressure. It is not yet clear which of these methods is the most accurate. The aim of this study was to evaluate and compare the effectiveness of using different measures of body fat to predict high blood pressure. The study was performed in Brazil. Adult volunteers with normal blood pressure were assessed for body fat using waist-to-height ratio (WHtR), body mass index (BMI) and waist circumference (WC), and then followed-up 13 years later to find out whether they had developed high blood pressure. 44% of the participants developed high blood pressure during the study period. BMI, WC and WHtR were all associated with the risk of high blood pressure and had similar accuracy in predicting the disease. However, the associations were only significant for women. The cut-off points for predicting high blood pressure agreed with current recommendations, except for the WC in men. The results suggest that both overall obesity (BMI) and central obesity (WC and WHtR) indicators can be used in this population to evaluate the risk of developing high blood pressure.
Abstract
BACKGROUND The best anthropometric indicator to verify the association between obesity and hypertension (HTN) has not been established. We conducted this study to evaluate and compare the discriminatory power of waist-to-height ratio (WHtR) in relation to body mass index (BMI) and waist circumference (WC) in predicting HTN after 13 years of follow-up. METHODS This study was an observational prospective cohort study performed in the city of Firminópolis, in Brazilian's midwest. The cohort baseline (phase 1) was initiated in 2002 with the evaluation of a representative sample of the normotensive population (≥ 18 years of age). The incidence of HTN was evaluated as the outcome (phase 2). Sociodemographic, dietary and lifestyle variables were used to adjust proportional hazards models and evaluate risk of HTN according to anthropometric indices. The areas under the receiver operating characteristic (ROC) curves were used to compare the predictive capacity of these indices. The best HTN predictor cut-offs were obtained based on sensitivity and specificity. RESULTS A total of 471 patients with a mean age of 38.9 ± 12.3 years were included in phase 1. The mean follow-up was 13.2 years, and 207 subjects developed HTN. BMI, WC and WHtR were associated with risk of HTN incidence and had similar power in predicting the disease. However, the associations were only significant for women. The cut-off points with a better HTN predictive capacity were in agreement with current recommendations, except for the WC in men. CONCLUSIONS The results suggest that both overall obesity (BMI) and central obesity (WC and WHtR) anthropometric indicators can be used in this population to evaluate the risk of developing hypertension.
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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.