scholarly journals Determinants of new onset cardiometabolic risk among normal weight children

2019 ◽  
Vol 44 (4) ◽  
pp. 781-789
Author(s):  
Andraea Van Hulst ◽  
Marina Ybarra ◽  
Marie-Eve Mathieu ◽  
Andrea Benedetti ◽  
Gilles Paradis ◽  
...  

Abstract Objective To identify determinants for the development of “normal weight metabolically unhealthy” (NWMU) profiles among previously metabolically healthy normal weight children. Methods The QUALITY cohort comprises youth 8–10 years of age with a parental history of obesity (n = 630). Of these, normal weight children with no metabolic risk factors were identified and followed up 2 years later (n = 193). Children were classified as NWMU if they remained normal weight but developed at least one cardiometabolic risk factor. They were classified as normal weight metabolically healthy otherwise. Multivariable logistic regression models were used to identify whether adiposity (anthropometrics and DXA), lifestyle habits (physical activity, screen time, vegetables, and fruit- and sugar-sweetened beverages intake), fitness, and family history of cardiometabolic disease were associated with new onset NWMU. Results Of the 193 normal weight and metabolically healthy children at baseline, 45 (23%) became NWMU 2 years later (i.e., 48% had elevated HDL cholesterol, 13% had elevated triglycerides, and 4% had impaired fasting glucose). Changes in adiposity between baseline and follow-up were associated with an increased risk of NWMU for all adiposity measures examined (e.g., for ∆zBMI OR = 3.95; 95% CI: 1.76, 8.83). Similarly, a 2-year change in screen time was associated with incident NWMU status (OR = 1.24; 95% CI 1.04, 1.49). Conclusions Children who increase their adiposity levels as they enter puberty, despite remaining normal weight, are at risk of developing cardiometabolic risk factors. Studies examining long-term consequences of NWMU profiles in pediatrics are needed to determine whether changes in screening practice are warranted.

2021 ◽  
Author(s):  
Sailimai Man ◽  
Yongxiang Gao ◽  
Jun Lv ◽  
Mingkun Tong ◽  
Jianchun Yin ◽  
...  

Objective The risk of gallstones among metabolically healthy obesity (MHO) individuals is largely unexplored. Therefore, the present study investigated the association between MHO and gallstones in a health check-up cohort of Chinese adults. Design A prospective cohort study. Methods Participants included 58,862 individuals from the MJ health check-up cohort aged ≥ 18 years without history of gallstones at baseline. Gallstones were diagnosed using abdominal B-type ultrasound. Metabolically healthy was defined as not having any one of the components of metabolic syndrome. Obesity was identified by body mass index (BMI) and waist circumference (WC). Participants were cross-classified at baseline by metabolic health and obesity. Adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of gallstones across BMI categories were estimated with Cox proportional hazard regression models. Results During a median follow-up of 3.0 (interquartile range, 1.6-6.1) years, 1,269 participants developed gallstones. Individuals with MHO (HR: 1.95, 95% CI: 1.23, 3.09 for BMI criteria; HR: 1.74, 95% CI: 1.37, 2.21 for WC criteria) had significantly higher risk of gallstones than those with metabolically healthy normal weight. In metabolically healthy individuals, BMI and WC both displayed linear dose-response relationships with gallstones (P for non-linearity > 0.05). The association between MHO and gallstones remained unchanged when using different criteria for metabolic health and obesity. Conclusions MHO was significantly associated with gallstones, suggesting that obesity can independently contribute to gallstones development, even among metabolically healthy individuals. These findings emphasize that metabolically healthy individuals may still benefit from maintaining normal body weight to prevent gallstones.


Open Heart ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. e001624
Author(s):  
Bente Morseth ◽  
Bastiaan Geelhoed ◽  
Allan Linneberg ◽  
Lars Johansson ◽  
Kari Kuulasmaa ◽  
...  

BackgroundThe main aim was to examine age-specific risk factor associations with incident atrial fibrillation (AF) and their attributable fraction in a large European cohort. Additionally, we aimed to examine risk of stroke and mortality in relation to new-onset AF across age.MethodsWe used individual-level data (n=66 951, 49.1% men, age range 40–98 years at baseline) from five European cohorts of the MOnica Risk, Genetics, Archiving and Monograph Consortium. The participants were followed for incident AF for up to 10 years and the association with modifiable risk factors from the baseline examinations (body mass index (BMI), hypertension, diabetes, daily smoking, alcohol consumption and history of stroke and myocardial infarction (MI)) was examined. Additionally, the participants were followed up for incident stroke and all-cause mortality after new-onset AF.ResultsAF incidence increased from 0.9 per 1000 person-years at baseline age 40–49 years, to 17.7 at baseline age ≥70 years. Multivariable-adjusted Cox models showed that higher BMI, hypertension, high alcohol consumption and a history of stroke or MI were associated with increased risk of AF across age groups (p<0.05). Between 30% and 40% of the AF risk could be attributed to BMI, hypertension and a history of stroke or MI. New-onset AF was associated with a twofold increase in risk of stroke and death at ages≥70 years (p≤0.001).ConclusionIn this large European cohort aged 40 years and above, risk of AF was largely attributed to BMI, high alcohol consumption and a history MI or stroke from middle age. Thus, preventive measures for AF should target risk factors such as obesity and hypertension from early age and continue throughout life.


2018 ◽  
Vol 179 (6) ◽  
pp. 343-352 ◽  
Author(s):  
Yijie Xu ◽  
Haibin Li ◽  
Anxin Wang ◽  
Zhaoping Su ◽  
Guang Yang ◽  
...  

Objective This study aimed to determine if the metabolically healthy obese (MHO) is associated with an increased risk of myocardial infarction (MI) in Chinese population. Design The Kailuan study is a community-based prospective cohort study. Methods BMI and metabolic syndrome (MetS) were assessed in 91 866 participants without a history of MI or stroke. Participants were categorised into six mutually exclusive groups according to the BMI-MetS status: normal weight (BMI:  ≤ 18.5to < 24.0 kg/m2) without MetS (MH-NW), normal weight with MetS (MUH-NW), overweight (BMI:  ≤ 24.0to < 28.0 kg/m2) without MetS (MH-OW), overweight with MetS (MUH-OW), obese (BMI ≥ 28.0 kg/m2) without MetS (MHO) and obese with MetS (MUO). The hazard ratio (HR) with 95% CI was calculated for the incidence of MI using a multivariable Cox model. Results A total of 6745 (7.34%) individuals were classified as MHO. During a median 8-year follow-up, 1167 (1.27%) participants developed MI. The MHO group had an increased risk of MI (HR: 1.76, 95% CI: 1.37–2.25) in comparison with the MH-NW group after adjusting for potential confounding variables. After a similar adjustment, the risk of MI was significantly elevated in the MUH-NW (HR: 1.62, 95% CI: 1.28–2.05), MUH-OW (HR: 1.98, 95% CI: 1.67–2.35) and MUO group (HR: 2.06, 95% CI: 1.70–2.49). Conclusions MHO subjects showed a substantially higher risk of MI in comparison with MH-NW subjects. That said, even without measurable metabolic abnormalities, obesity was associated with a higher risk of MI.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4679-4679 ◽  
Author(s):  
Radhika Gangaraju ◽  
Smita Bhatia ◽  
Kelly Kenzik

BACKGROUND: Venous-thromboembolism (VTE) is a debilitating condition and is associated with excess mortality. Small, single institution studies suggest that the risk of VTE in acute myeloid leukemia (AML) patients is elevated and is similar to that seen in solid tumor patients. However, population-based studies describing VTE risk and predictors of VTE in elderly AML patients are lacking. We used Medicare-linked SEER (Surveillance, Epidemiology, and End Results) data to address this knowledge gap. METHODS: We identified 4,166 Medicare beneficiaries diagnosed with AML at age ≥67y between 2007 and 2013. We ascertained baseline sociodemographics and pre-existing comorbidities for 2y prior to AML diagnosis. Patients were followed from AML diagnosis until development of post-AML VTE, or, in the absence of VTE diagnosis, for 2y (if alive), or until death, blood or marrow transplant, or end of study (12/31/2014), whichever came first. VTE diagnosis was based on ICD 9 codes using validated claims algorithms, and included deep vein thrombosis (DVT), pulmonary embolism (PE) and thrombophlebitis. Statistical Analysis: Cumulative incidence functions were used to assess post-AML VTE risk (overall, new-onset). Cox regression models examined the following risk factors associated with VTE: age at AML diagnosis, sex, race/ethnicity, socioeconomic status, history of pre-AML VTE, and pre-existing co-morbid conditions (hypertension, dyslipidemia, diabetes, stroke, rheumatoid arthritis, ischemic heart disease, chronic obstructive pulmonary disease, chronic kidney disease, congestive heart failure, atrial fibrillation, anemia and peripheral vascular disease). RESULTS: Median age at AML diagnosis was 79y (range: 67-105y); 52% were male, 83% non-Hispanic white and 20% resided in an area where >20% of the population lived below poverty level; 50% of the cohort received chemotherapy. Prior to AML diagnosis, 15% were receiving anticoagulants; 2% were on anticoagulation for pre-AML VTE. Cumulative Incidence of VTE: Overall, 167 (4.0%) patients were diagnosed with post-AML VTE (DVT [63%], PE [32%], thrombophlebitis [5%]); 38% had >1 VTE. Of the 167 patients with post-AML VTE, only 25 (15%) had new-onset VTE; the remaining 142 carried a history of pre-AML VTE. The 2y cumulative incidence of any post-AML VTE was 4.3% (95%CI: 3.6%-5.1%) (Fig 1). Fifty-six percent of VTE episodes occurred within 3 months of AML diagnosis. The incidence was 0.6% (95% CI: 0.5%-0.8%) for new-onset VTE and was 1.9% (95%CI 1.3-2.6) for multiple VTEs. The 2y cumulative incidence of post-AML VTE among those with a history of pre-AML VTE was 17.1% (95% CI: 13.3-21.9%). Risk factors for VTE: Adjusting for age at diagnosis, race/ethnicity, census-tract poverty, and co-morbid conditions, AML patients who had pre-AML VTE, were at 7.6-fold increased risk of post-AML VTE (95%CI: 4.8-12.0, p<0.001). No other risk factors were associated with post-AML VTE risk, with the exception of a marginal association between a prior history of peripheral vascular disease and new-onset VTE (HR=3.5, 95%CI: 0.9-14.8, p=0.08) (Table 1). Risk factors for VTE among patients receiving chemotherapy: Adjusting for age at diagnosis, race/ethnicity, census-tract poverty and co-morbid conditions, AML patients with pre-AML VTE were at 8.1-fold increased risk of any post-AML VTE (95%CI: 4.4-14.7, p<0.001). Mortality associated with VTE: The 2y cumulative incidence of mortality for those with no pre-AML VTE was 91%, compared to 95% for those with a pre-AML VTE (HR 1.23, p=0.017). New-onset VTE after the diagnosis of AML was not associated with an increased risk in mortality (HR 1.04, p=0.705). CONCLUSION: History of VTE prior to diagnosis of AML significantly increases the risk of post-AML VTE and overall mortality. These findings can be used to inform appropriate thromboprophylaxis in elderly AML patients who carry a pre-AML diagnosis of VTE. Disclosures No relevant conflicts of interest to declare.


Metabolism ◽  
2009 ◽  
Vol 58 (3) ◽  
pp. 344-350 ◽  
Author(s):  
Ranjit Mohan Anjana ◽  
Srinivasa Lakshminarayanan ◽  
Mohan Deepa ◽  
Syed Farooq ◽  
Rajendra Pradeepa ◽  
...  

2018 ◽  
Vol 212 (4) ◽  
pp. 222-226 ◽  
Author(s):  
Paul O. Wilkinson ◽  
Tianyou Qiu ◽  
Sharon Neufeld ◽  
Peter B. Jones ◽  
Ian M. Goodyer

BackgroundNon-suicidal self-injury (NSSI) is highly prevalent in adolescents and may be a behavioural marker for emergent mental illnesses.AimsTo determine whether sporadic or recurrent NSSI up to the age of 14 years predicted increased risk of new onset of psychiatric disorder in the subsequent 3 years, independent of psychiatric symptoms and social risk factors.MethodIn total, 945 individuals aged 14 years with no past/present history of mental illness completed a clinical interview and completed a questionnaire about NSSI at the ages of 14 and 17 years.ResultsRecurrent NSSI at baseline predicted total disorders, depression and eating disorders. Sporadic baseline NSSI predicted new onset of anxiety disorders only.ConclusionsNSSI (especially recurrent NSSI) in the early-adolescent years is a behavioural marker of newly emerging mental illnesses. Professionals should treat both recurrent and sporadic NSSI as important risk factors, and prevention strategies could be targeted at this vulnerable group.Declaration of interestNone.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
B Morseth ◽  
B Geelhoed ◽  
A Linneberg ◽  
S Soderberg ◽  
L Johansson ◽  
...  

Abstract Background Although a number of risk factors have been associated with the progression of atrial fibrillation (AF), there is limited knowledge of their relevance for AF in relation to age. Purpose We examined whether the association between modifiable risk factors and AF differed between age decades. Methods Data were derived from five European cohorts from Denmark, Finland, Italy, Sweden, and Norway. In total, 66 951 individuals (49.1% men) aged ≥40 years (mean baseline age 53.5 years) and without prevalent AF were followed for incident AF, with the follow-up truncated at 10 years. Data on risk factors (body mass index [BMI], hypertension [systolic blood pressure ≥140 mmHg and/or use of antihypertensive medication], diabetes mellitus, myocardial infarction [MI] event before baseline examinations, daily smoking, and alcohol consumption) were available from the baseline examinations. Stratification into age decades was based on age at baseline examination. Furthermore, the participants were followed for events of stroke or mortality after AF diagnosis. Mortality, stroke, and AF outcomes were derived from national registers and hospital discharge registers. All analyses were adjusted for AF risk factors. Results The incidence of AF increased from 0.9 per 1000 person-years at the age of 40 to &lt;50, to 17.7 at the age of ≥70 years. Multivariable-adjusted Cox models showed that BMI, hypertension, alcohol consumption, and history of MI were associated with increased risk of AF across age decades (p&lt;0.05). Of these, the risk of AF associated with BMI and an MI event before baseline examinations differed across age decades. For each 5 units increase in BMI, risk of AF increased with 40% (95% confidence interval 17–68%) at the age of 40 to &lt;50, falling to 17% (6–29%) at the age of ≥70 years (p=0.08 for difference between age decades 40 to &lt;50 and ≥70). Participants with a history of MI showed decreased risk of AF with ageing, from a hazard ratio (HR) of 5.53 (2.85–10.73) in the 40 to &lt;50 age group to a HR of 1.41 (1.11–1.79) at the age of ≥70 (p&lt;0.001). Daily smoking and prevalent diabetes mellitus were in general not associated with AF. The multivariable-adjusted associations between new-onset AF and the succeeding risk of stroke and mortality increased with age, showing a 1.6 to 2.6-fold increase in risk of death at ages ≥60 years and two-fold increased risk of stroke in participants aged ≥70 years (p≤0.001). Conclusion The relative importance of modifiable risk factors on incident AF do not vary across age decades, with a few exceptions; BMI and a history of MI were stronger risk factors for AF at younger ages. Thus, preventive measures should target risk factors rigorously, in particular obesity. New-onset AF was associated with increased risk of stroke and mortality only at older ages, emphasizing the importance of adequate patient management in the older and oldest old. Funding Acknowledgement Type of funding source: None


2021 ◽  
Vol 20 (Supplement_1) ◽  
Author(s):  
V Chulkov ◽  
ES Gavrilova ◽  
VLS Chulkov ◽  
PE Tkachenko ◽  
EA Lenets

Abstract Funding Acknowledgements Type of funding sources: None. Introduction. The concept of metabolic health in obese and normal-weight individuals remains controversial. It is important to study cardiometabolic risk factors in various phenotypes of normal-weigth and overweight/obese young individuals, which may be a practical and important step towards personalised medicine. Purpose. To estimate associations of cardiometabolic risk factors with adipokines in normal weight, overweight/obese young individuals. Methods. Study design: cross-sectional study. The study included 251 patients. All patients were divided into 4 groups: group I - metabolically healthy individuals with normal-weight aged 24.5 [22-31] years (n = 62); group II - metabolically unhealthy individuals with normal-weight aged 28 [23-38] years (n = 57); group III - metabolically healthy overweight/obesity aged 30 [24-36] years (n = 16); group IV - metabolically unhealthy overweight/obesity aged 36 [28.5-41] years (n = 116). We perfomed clinical examination, measured lipids, serum concentrations of glucose, insulin, leptin, adipokines, fibrinogen, type I plasminogen activator inhibitor (PAI-1). Data analysis was performed using the statistical package MedCalc Saftware (Version 19.6). p &lt; 0.05 were taken as statistically significant.  Results. The highest concentrations of glucose, insulin and the insulin resistance index HOMA-IR were found in groups with a metabolically unhealthy profile (group II and IV) compared to group I and III. The highest concentrations of triglycerides, LDL, fibrinogen and PAI-1, as well as the lowest values of HDL, were found in group IV vs group I, II, III. The concentration of leptin was higher in metabolically unhealthy overweigt/obesity individuals, as well as lower concentration of adiponectin in group III and IV compared to group I and II. In young individuals with a metabolically healthy phenotype, we obtained positive linear correlations between PAI-1 and systolic (r = 0.337, p = 0.04) and diastolic blood pressure (r = 0.314, p = 0.022), as well as negative associations between waist circumference and HDL (r= - 0.374, p = 0.003). In young individuals with a metabolically unhealthy phenotype, the most significant positive linear correlations were found between the concentrations of leptin and fibrinogen (r = 0.490, p = 0.003), as well as systolic blood pressure and HDL (r = 0.307, p = 0.02). In the group of young adults with metabolically healthy obesity the only negative correlation between waist circumference and HDL cholesterol (r= - 0,599, p = 0,031) was revealed. The most significant correlations among metabolically unhealthy obese individuals were obtained between diastolic blood pressure and fibrinogen (r = 0.346, p &lt; 0.001), as well as body mass index and leptin (r = 0.521, p &lt; 0.001).  Conclusion. The most pronounced disorders of carbohydrate and lipid metabolism in combination with an imbalance of adipokines and prothrombotic changes in hemostasis were found in young individuals with metabolically unhealthy owerweight/obesity.


Author(s):  
Aysel Vehapoglu ◽  
Zeynep Ebru Cakın ◽  
Feyza Ustabas Kahraman ◽  
Mustafa Atilla Nursoy ◽  
Ali Toprak

Abstract Objectives It is unclear whether body weight status (underweight/normal weight/overweight/obese) is associated with allergic disease. Our objective was to investigate the relationship between body weight status (body mass index; BMI) and atopic allergic disease in prepubertal children, and to compare children with atopic allergic diseases with non atopic healthy children. Methods A prospective cross sectional study of 707 prepubertal children aged 3–10 years was performed; the participants were 278 atopic children with physician-diagnosed allergic disease (allergic rhinitis and asthma) (serum total IgE level >100 kU/l and eosinophilia >4%, or positivity to at least one allergen in skin test) and 429 non atopic healthy age- and sex-matched controls. Data were collected between December 2019 and November 2020 at the Pediatric General and Pediatric Allergy Outpatient Clinics of Bezmialem Vakıf University Hospital. Results Underweight was observed in 11.6% of all participants (10.8% of atopic children, 12.2% of healthy controls), and obesity in 14.9% of all participants (18.0% of atopic children, 12.8% of controls). Obese (OR 1.71; 95% CI: 1.08–2.71, p=0.021), and overweight status (OR 1.62; 95% CI: 1.06–2.50, p=0.026) were associated with an increased risk of atopic allergic disease compared to normal weight in pre-pubertal children. This association did not differ by gender. There was no relationship between underweight status and atopic allergic disease (OR 1.03; 95% CI: 0.63–1.68, p=0.894). Conclusions Overweight and obesity were associated with an increased risk of atopic allergic disease compared to normal weight among middle-income and high-income pre pubertal children living in Istanbul.


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