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Cardiometabolic health in offspring of women with PCOS compared to healthy controls: a systematic review and individual participant data meta-analysis.
Gunning, MN, Sir Petermann, T, Crisosto, N, van Rijn, BB, de Wilde, MA, Christ, JP, Uiterwaal, CSPM, de Jager, W, Eijkemans, MJC, Kunselman, AR, et al
Human reproduction update. 2020;(1):103-117
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Abstract
BACKGROUND Women diagnosed with polycystic ovary syndrome (PCOS) suffer from an unfavorable cardiometabolic risk profile, which is already established by child-bearing age. OBJECTIVE AND RATIONALE The aim of this systematic review along with an individual participant data meta-analysis is to evaluate whether cardiometabolic features in the offspring (females and males aged 1-18 years) of women with PCOS (OPCOS) are less favorable compared to the offspring of healthy controls. SEARCH METHODS PubMed, Embase and gray literature databases were searched by three authors independently (M.N.G., M.A.W and J.C.) (last updated on 1 February 2018). Relevant key terms such as 'offspring' and 'PCOS' were combined. Outcomes were age-specific standardized scores of various cardiometabolic parameters: BMI, blood pressure, glucose, insulin, lipid profile and the sum scores of various cardiometabolic features (metabolic sum score). Linear mixed models were used for analyses with standardized beta (β) as outcome. OUTCOMES Nine relevant observational studies could be identified, which jointly included 1367 children: OPCOS and controls, originating from the Netherlands, Chile and the USA. After excluding neonates, duplicate records and follow-up screenings, a total of 885 subjects remained. In adjusted analyses, we observed that OPCOS (n = 298) exhibited increased plasma levels of fasting insulin (β = 0.21(95%CI: 0.01-0.41), P = 0.05), insulin-resistance (β = 0.21(95%CI: 0.01-0.42), P = 0.04), triglycerides (β = 0.19(95%CI: 0.02-0.36), P = 0.03) and high-density lipoprotein (HDL)-cholesterol concentrations (β = 0.31(95%CI: 0.08-0.54), P < 0.01), but a reduced birthweight (β = -116(95%CI: -195 to 38), P < 0.01) compared to controls (n = 587). After correction for multiple testing, however, differences in insulin and triglycerides lost their statistical significance. Interaction tests for sex revealed differences between males and females when comparing OPCOS versus controls. A higher 2-hour fasting insulin was observed among female OPCOS versus female controls (estimated difference for females (βf) = 0.45(95%CI: 0.07 to 0.83)) compared to the estimated difference between males ((βm) = -0.20(95%CI: -0.58 to 0.19)), with interaction-test: P = 0.03. Low-density lipoprotein-cholesterol differences in OPCOS versus controls were lower among females (βf = -0.39(95%CI: -0.62 to 0.16)), but comparable between male OPCOS and male controls (βm = 0.27(95%CI: -0.03 to 0.57)), with interaction-test: P < 0.01. Total cholesterol differences in OPCOS versus controls were also lower in females compared to the difference in male OPCOS and male controls (βf = -0.31(95%CI: -0.57 to 0.06), βm = 0.28(95%CI: -0.01 to 0.56), interaction-test: P = 0.01). The difference in HDL-cholesterol among female OPCOS versus controls (βf = 0.53(95%CI: 0.18-0.88)) was larger compared to the estimated mean difference among OPCOS males and the male controls (βm = 0.13(95%CI: -0.05-0.31), interaction-test: P < 0.01). Interaction test in metabolic sum score revealed a significant difference between females (OPCOS versus controls) and males (OPCOS versus controls); however, sub analyses performed in both sexes separately did not reveal a difference among females (OPCOS versus controls: βf = -0.14(95%CI: -1.05 to 0.77)) or males (OPCOS versus controls: βm = 0.85(95%CI: -0.10 to 1.79)), with P-value < 0.01. WIDER IMPLICATIONS We observed subtle signs of altered cardiometabolic health in OPCOS. Therefore, the unfavorable cardiovascular profile of women with PCOS at childbearing age may-next to a genetic predisposition-influence the health of their offspring. Sensitivity analyses revealed that these differences were predominantly observed among female offspring aged between 1 and 18 years. Moreover, studies with minimal risk of bias should elucidate the influence of a PCOS diagnosis in mothers on both sexes during fetal development and subsequently during childhood.
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Effectiveness of Mobile Health Interventions Promoting Physical Activity and Lifestyle Interventions to Reduce Cardiovascular Risk Among Individuals With Metabolic Syndrome: Systematic Review and Meta-Analysis.
Sequi-Dominguez, I, Alvarez-Bueno, C, Martinez-Vizcaino, V, Fernandez-Rodriguez, R, Del Saz Lara, A, Cavero-Redondo, I
Journal of medical Internet research. 2020;(8):e17790
Abstract
BACKGROUND Physical activity and lifestyle interventions, such as a healthy diet, have been proven to be effective approaches to manage metabolic syndrome. However, these interventions require great commitment from patients and clinicians owing to their economic costs, time consumption, and lack of immediate results. OBJECTIVE The aim of this systematic review and meta-analysis was to analyze the effect of mobile-based health interventions for reducing cardiometabolic risk through the promotion of physical activity and healthy lifestyle behaviors. METHODS PubMed, Scopus, Web of Science, Cochrane Central Register of Controlled Trials, and SPORTdiscus databases were searched for experimental studies evaluating cardiometabolic risk indicators among individuals with metabolic syndrome who were included in technology-assisted physical activity and lifestyle interventions. Effect sizes, pooled mean changes, and their respective 95% CIs were calculated using the DerSimonian and Laird method. Outcomes included the following clinical and biochemical parameters: body composition (waist circumference [WC] and BMI), blood pressure (systolic blood pressure [SBP] and diastolic blood pressure [DBP]), glucose tolerance (fasting plasma glucose [FPG] and glycated hemoglobin A1c [HbA1c]), and lipid profile (total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol [HDL-C], and triglycerides). RESULTS A total of nine studies were included in the meta-analysis. Owing to the scarcity of studies, only pooled mean pre-post changes in the intervention groups were estimated. Significant mean changes were observed for BMI (-1.70 kg/m2, 95% CI -3.20 to -0.20; effect size: -0.46; P=.03), WC (-5.77 cm, 95% CI -9.76 to -1.77; effect size: -0.54; P=.005), SBP (-7.33 mmHg, 95% CI -13.25 to -1.42; effect size: -0.43; P=.02), DBP (-3.90 mmHg, 95% CI -7.70 to -0.11; effect size: -0.44; P=.04), FPG (-3.65 mg/dL, 95% CI -4.79 to -2.51; effect size: -0.39; P<.001), and HDL-C (4.19 mg/dL, 95% CI 2.43-5.95; effect size: 0.23; P<.001). CONCLUSIONS Overall, mobile-based health interventions aimed at promoting physical activity and healthy lifestyle changes had a strong positive effect on cardiometabolic risk indicators among individuals with metabolic syndrome. Nevertheless, further research is required to compare this approach with usual care in order to support the incorporation of these technologies in health systems. TRIAL REGISTRATION PROSPERO CRD42019125461; https://tinyurl.com/y3t4wog4.
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Sleep duration and cardiovascular risk factors in children and adolescents: A systematic review.
Sun, J, Wang, M, Yang, L, Zhao, M, Bovet, P, Xi, B
Sleep medicine reviews. 2020;:101338
Abstract
An association between short sleep duration and cardiovascular risk factors and outcomes is well demonstrated in adults. However, findings on the association in children and adolescents have been inconsistent. In this review, we searched PubMed, Embase and ISI Web of Science for eligible publications until March 16, 2020. We identified 37 reviews/meta-analyses on the association between sleep duration and cardiovascular risk factors and 15 studies on the association between sleep duration and metabolic syndrome (MetS) in children and adolescents. We found strong evidence on the association between short sleep duration and increased adiposity markers and high blood pressure, some evidence on the association between short sleep duration and insulin resistance, but inconsistent findings on the association between sleep duration and blood lipids, inflammation and MetS. Although more studies are needed to further assess the association between sleep duration and selected cardiovascular risk factors, our findings support interventions to improve sleep duration and quality as a potential means to promote cardiovascular health in children and adolescents.
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Preterm Birth as a Risk Factor for Metabolic Syndrome and Cardiovascular Disease in Adult Life: A Systematic Review and Meta-Analysis.
Markopoulou, P, Papanikolaou, E, Analytis, A, Zoumakis, E, Siahanidou, T
The Journal of pediatrics. 2019;:69-80.e5
Abstract
OBJECTIVE To determine if preterm birth is associated with components of the metabolic syndrome in adult life. STUDY DESIGN A structured literature search was performed using PubMed. All comparative studies reported metabolic and cardiovascular outcomes in adults (≥18 years of age) born preterm (<37 weeks of gestation) compared with adults born at term (37-42 weeks of gestation) and published through March 2018 were included. The major outcomes assessed were body mass index, waist circumference, waist-to-hip ratio, fat mass, systolic blood pressure (SBP), diastolic blood pressure (DBP), 24-hour SBP, 24-hour DBP, endothelium-dependent brachial artery flow-mediated dilation, carotid intima-media thickness, pulse wave velocity, fasting glucose and insulin, Homeostasis Model Assessment-Estimated Insulin Resistance Index, and lipid profiles. Quality appraisal was performed using a modified version of the Newcastle-Ottawa scale. A meta-analysis was performed for comparable studies which reported sufficient data. RESULTS Forty-three studies were included, including a combined total of 18 295 preterm and 294 063 term-born adults. Prematurity was associated with significantly higher fat mass (P = .03), SBP (P < .0001), DBP (P < .0001), 24-hour SBP (P < .001), and 24-hour DBP (P < .001). Furthermore, preterm-born adults presented higher values of fasting glucose (P = .01), insulin (P = .002), Homeostasis Model Assessment-Estimated Insulin Resistance Index (P = .05), and total cholesterol levels (P = .05) in comparison with adults born at term, in random effect models. No statistically significant difference was found between preterm and term-born adults for the other outcomes studied. CONCLUSIONS Preterm birth is strongly associated with a number of components of the metabolic syndrome and cardiovascular disease in adult life.