26 research outputs found

    Identifying adults at high-risk for change in weight and BMI in England: a longitudinal, large-scale, population-based cohort study using electronic health records.

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    Funder: Department of HealthFunder: Medical Research CouncilBackgroundTargeted obesity prevention policies would benefit from the identification of population groups with the highest risk of weight gain. The relative importance of adult age, sex, ethnicity, geographical region, and degree of social deprivation on weight gain is not known. We aimed to identify high-risk groups for changes in weight and BMI using electronic health records (EHR).MethodsIn this longitudinal, population-based cohort study we used linked EHR data from 400 primary care practices (via the Clinical Practice Research Datalink) in England, accessed via the CALIBER programme. Eligible participants were aged 18-74 years, were registered at a general practice clinic, and had BMI and weight measurements recorded between Jan 1, 1998, and June 30, 2016, during the period when they had eligible linked data with at least 1 year of follow-up time. We calculated longitudinal changes in BMI over 1, 5, and 10 years, and investigated the absolute risk and odds ratios (ORs) of transitioning between BMI categories (underweight, normal weight, overweight, obesity class 1 and 2, and severe obesity [class 3]), as defined by WHO. The associations of demographic factors with BMI transitions were estimated by use of logistic regression analysis, adjusting for baseline BMI, family history of cardiovascular disease, use of diuretics, and prevalent chronic conditions.FindingsWe included 2 092 260 eligible individuals with more than 9 million BMI measurements in our study. Young adult age was the strongest risk factor for weight gain at 1, 5, and 10 years of follow-up. Compared with the oldest age group (65-74 years), adults in the youngest age group (18-24 years) had the highest OR (4·22 [95% CI 3·86-4·62]) and greatest absolute risk (37% vs 24%) of transitioning from normal weight to overweight or obesity at 10 years. Likewise, adults in the youngest age group with overweight or obesity at baseline were also at highest risk to transition to a higher BMI category; OR 4·60 (4·06-5·22) and absolute risk (42% vs 18%) of transitioning from overweight to class 1 and 2 obesity, and OR 5·87 (5·23-6·59) and absolute risk (22% vs 5%) of transitioning from class 1 and 2 obesity to class 3 obesity. Other demographic factors were consistently less strongly associated with these transitions; for example, the OR of transitioning from normal weight to overweight or obesity in people living in the most socially deprived versus least deprived areas was 1·23 (1·18-1·27), for men versus women was 1·12 (1·08-1·16), and for Black individuals versus White individuals was 1·13 (1·04-1·24). We provide an open access online risk calculator, and present high-resolution obesity risk charts over a 1-year, 5-year, and 10-year follow-up period.InterpretationA radical shift in policy is required to focus on individuals at the highest risk of weight gain (ie, young adults aged 18-24 years) for individual-level and population-level prevention of obesity and its long-term consequences for health and health care.FundingThe British Hearth Foundation, Health Data Research UK, the UK Medical Research Council, and the National Institute for Health Research

    Epidemiological study of the relationship between dietary and soclo-economic factors and the risk of stroke in a sample of the greek population

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    The present study aimed to evaluate the association of the traditional Mediterranean dietand major food groups with incidence of and mortality from cerebrovascular disease (CBVD)in a Mediterranean population, taking into account various socio-demographic factors. Thestudy population was a cohort of 23,601 participants from the Greek segment of the EPICStudy (European Prospec- tive Investigation into Cancer and Nutrition) who were free ofcardiovascular diseases and cancer at baseline (1994–1999). Diet was assessed by meansof a validated semi-quantitative food frequency questionnaire. A 10-point scale integratingkey Mediterranean diet characteristics was used to assess the participants’ degree ofadherence to this diet. During a median follow-up period of 10.6 years (1994–2009), 395confirmed incident cases and 196 deaths from CBVD were recorded. Using Cox proportionalhazards regression and adjusting for potential confounders, increased adherence to theMediterranean diet, as measured by 2-point increments in score, was inversely associatedwith CBVD incidence (adjusted hazard ratio = 0.85, 95% confidence interval: 0.74, 0.96) andmortality (adjusted hazard ratio = 0.88, 95% CI: 0.73, 1.06). These inverse trends weremostly evident among women and with respect to ischemic rather than hemorrhagic CBVDand were largely driven by consumption of vegetables, legumes, and olive oil. These dataprovide support for an inverse association of adherence to the Mediterranean diet withCBVD incidence and mortality.Η παρούσα μελέτη έχει ως σκoπό να διερευνήσει τη συσχέτιση των διατροφικών συνηθειώνμε την επίπτωση και τη θνησιμότητα από αγγειακά εγκεφαλικά επείσοδια (ΑΕΕ), σεσυνάρτηση με διάφορους κοινωνικο-οικονομικούς παράγοντες. Ο πληθυσμός της μελέτηςαποτελείται από 23.601 άτομα τα οποία συμμέτεχουν στο ελληνικό τμήμα της προοπτικήςμελέτης ΕΠΙΚ (Ευρωπαικό Πρόγραμμα συνεργασίας Ιατρικής και Κοινωνίας), η οποίαξεκίνησε το 1994. Η εκτίμηση της διατροφής έγινε με την χρήση ενός σταθμισμένουημιποσοτικού διατροφικού ερωτηματολογίου συχνότητας και για την εκτίμηση τηςπροσκόλλησης στη παραδοσιακή Μεσογειακή διατροφή χρησιμοποιήθηκε μια κλίμακα 10μονάδων, η οποία ενσωματώνει τα χαρακτηριστικά του συγκεκριμένου διατροφικούπροτύπου. Κατά τη διάρκεια διάμεσης παρακολούθησης 10,6 ετών, παρατηρήθηκαν 395επιβεβαιωμένα νέα περιστατικά και 196 θάνατοι από ΑΕΕ. Μετά από ανάλυση επιβίωσης μεμοντέλα αναλογικών κινδύνων και σταθμίζοντας για συγχυτικούς παράγοντες, η αύξηση κατάδύο μονάδες στη κλίμακα της προσκόλλησης στη παραδοσιακή Μεσογειακή διατροφήσχετίστηκε με ελλατωμένο κίνδυνο για εμφάνιση πρώτου ΑΕΕ κατά 15% (αναλογία κινδύνου0,85, 95% διάστημα εμπιστοσύνης: 0,74- 0,96) και θανάτου από ΑΕΕ κατά 12% (αναλογίακινδύνου 0,88, 95% διάστημα εμπιστοσύνης: 0,73-1,06). Οι σχέσεις αυτές ήταν πιο ισχυρέςστις γυναίκες και για τα ισχαιμικά ΑΕΕ και σε μεγάλο βαθμό υποκινούνταν από τηνκατανάλωση λαχανικών, οσπρίων και ελαιόλαδου

    4 Statin-Induced myotoxicity: An overview of the risk factors

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    Statins are well tolerated and particularly safe medicines. The most important clinical side effect of statins is myotoxicity. Rhabdomyolysis is the most rare, but most serious of myotoxicity. Clinically it is characterized by proximal or diffuse muscle pain, weakness and myoglobinuria. CPK usually exceeds by far 10 times the upper limit of normal. Factors, which increase the risk of myotoxicity, are: advanced age and female gender (for unknown reasons), genetic polymorphism (low hepatic or intestinal expression of the isoenzyme CYP3A4), hereditary myopathy, lipophilicity of some statins, high doses of statins (dose-dependent side effect), medicines and foods that are metabolized by CYP3A4, renal failure and hepatic dysfunction, as well as the conditions that worsen them

    Identifying adults at high-risk for change in weight and BMI in England: a longitudinal, large-scale, population-based cohort study using electronic health records

    No full text
    Background Targeted obesity prevention policies would benefit from the identification of population groups with the highest risk of weight gain. The relative importance of adult age, sex, ethnicity, geographical region, and degree of social deprivation on weight gain is not known. We aimed to identify high-risk groups for changes in weight and BMI using electronic health records (EHR). Methods In this longitudinal, population-based cohort study we used linked EHR data from 400 primary care practices (via the Clinical Practice Research Datalink) in England, accessed via the CALIBER programme. Eligible participants were aged 18-74 years, were registered at a general practice clinic, and had BMI and weight measurements recorded between Jan 1, 1998, and June 30, 2016, during the period when they had eligible linked data with at least 1 year of follow-up time. We calculated longitudinal changes in BMI over 1, 5, and 10 years, and investigated the absolute risk and odds ratios (ORs) of transitioning between BMI categories (underweight, normal weight, overweight, obesity class 1 and 2, and severe obesity [class 3]), as defined by WHO. The associations of demographic factors with BMI transitions were estimated by use of logistic regression analysis, adjusting for baseline BMI, family history of cardiovascular disease, use of diuretics, and prevalent chronic conditions. Findings We included 2 092 260 eligible individuals with more than 9 million BMI measurements in our study. Young adult age was the strongest risk factor for weight gain at 1, 5, and 10 years of follow-up. Compared with the oldest age group (65-74 years), adults in the youngest age group (18-24 years) had the highest OR (4.22 [95% CI 3.86-4.62]) and greatest absolute risk (37% vs 24%) of transitioning from normal weight to overweight or obesity at 10 years. Likewise, adults in the youngest age group with overweight or obesity at baseline were also at highest risk to transition to a higher BMI category; OR 4.60 (4.06-5.22) and absolute risk (42% vs 18%) of transitioning from overweight to class 1 and 2 obesity, and OR 5.87 (5.23-6.59) and absolute risk (22% vs 5%) of transitioning from class 1 and 2 obesity to class 3 obesity. Other demographic factors were consistently less strongly associated with these transitions; for example, the OR of transitioning from normal weight to overweight or obesity in people living in the most socially deprived versus least deprived areas was 1.23 (1.18-1.27), for men versus women was 1.12 (1.08-1.16), and for Black individuals versus White individuals was 1.13 (1.04-1.24). We provide an open access online risk calculator, and present high-resolution obesity risk charts over a 1-year, 5-year, and 10-year follow-up period. Interpretation A radical shift in policy is required to focus on individuals at the highest risk of weight gain (ie, young adults aged 18-24 years) for individual-level and population-level prevention of obesity and its long-term consequences for health and health care. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd
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