Prevalence and Correlates of Overweight and Obesity in 12 European Countries in 2017–2018

Stival, Chiara; Lugo, Alessandra; Odone, Anna; Brandt, Piet A. van den; Fernández, Esteve; Tigova, Olena; Soriano, Joan B.; Medina, María José López; Scaglioni, Silvia; Gallus, Silvano

doi:10.1159/000525792

Cited by 47 publications

(32 citation statements)

References 33 publications

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“…This study's demographic reflects broader trends, with a significant proportion of the patients, nearly 65%, living with obesity, with an average BMI of 32.3 ± 5.3 kg/m 2 . Obesity rates have been reported to be higher in Eastern Europe, in particular, with rates reaching or exceeding 20% [28]. Obesity is a significant risk factor that can be influenced to decrease the likelihood of developing DM.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Cardiovascular Risk Categories and Achievement of Therapeutic Targets in European Patients with Type 2 Diabetes

Reurean-Pintilei,

Potcovaru,

Salmen

et al. 2024

JCM

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Background: Individuals diagnosed with type 2 diabetes mellitus (T2DM) are more prone to experiencing severe cardiovascular (CV) events, often occurring at a younger age, due to a complex interplay of risk factors. T2DM diagnosis inherently classifies patients as belonging to a higher CV risk group. In light of the increased susceptibility to severe CV outcomes, our study aims to assess the distribution of CV risk categories and the attainment of therapeutic targets among Romanian patients diagnosed with T2DM. Methods: A cross-sectional analysis was performed, including 885 patients diagnosed with T2DM who were consecutively admitted to a secondary care hospital unit between January and July 2019. Data collection included demographics, lipid profile, glycated hemoglobin (HbA1c), blood pressure (BP), estimated glomerular filtration rate (eGFR), and medication specifics for T2DM and associated conditions. Patients were stratified into CV risk categories based on the ESC/EAS guidelines, encompassing moderate, high, and very high risk categories. The rationale for selecting these guidelines for CV risk categories was that they were current and provided best practice recommendations for T2DM patients during the cross-sectional evaluation. We assessed therapeutic target achievement rates for LDL-C, HbA1C, and BP for each CV risk category. Additionally, we examined utilization rates of statins and novel cardio- and reno-protective, non-insulin antidiabetic medications. Results: The group’s average age was 62.9 ± 7.7 years and comprised 53.7% females. An average HbA1c level of 7.1 ± 1.3% was observed in the group. Within the cohort, 83% had hypertension, with a mean systolic BP of 132 ± 16.2 mm Hg and mean diastolic BP of 80 ± 9.6 mm Hg. Additionally, 64.6% of patients were obese, with a mean body mass index of 32.3 ± 5.3 kg/m2. Mean LDL-C levels varied across the different CV risk categories: 106.6 ± 35.6 mg/dL in the very high risk category, 113 ± 39.3 mg/dL in the high risk category, and 124.3 ± 38.3 mg/dL in the moderate risk category. Most treatment schemes included metformin (87.0%) and statins (67.0%), with variable use rates for other glucose-lowering and CV risk-modifying therapies. The percentage of patients using GLP-1 RAs was 8.1%, while 3.9% used SGLT2 inhibitors. Conclusions: Most Romanian patients with T2DM are at very high or high CV risk. Despite reaching glycemic control targets, most patients are not achieving the composite target, which includes, besides glycemic control, BP values and lipid profile. Many patients with T2DM are not benefiting from DM therapies with additional cardiorenal benefits or statins.

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Section: Discussionmentioning

confidence: 99%

Assessment of Cardiovascular Risk Categories and Achievement of Therapeutic Targets in European Patients with Type 2 Diabetes

Reurean-Pintilei,

Potcovaru,

Salmen

et al. 2024

JCM

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“…The Body Mass Index (BMI) analysis in Europe reveals an increasing prevalence of overweight and obesity across diverse populations ( 46 , 47 ). Elevated BMI is closely linked to the rising incidence of chronic diseases, including diabetes, cardiovascular conditions, and certain cancers.…”

Section: Discussionmentioning

confidence: 99%

A comprehensive analysis concerning eating behavior associated with chronic diseases among Romanian community nurses

Onofrei,

Puiu,

Chirita-Emandi

et al. 2024

Front. Public Health

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IntroductionLifestyle factors, including inadequate eating patterns, emerge as a critical determinant of chronic disease. Apart from caring for patients, nurses should also take an active role in monitoring and managing their own health. Understanding the intricate relationship between nurses’ eating behavior and managing their own health is crucial for fostering a holistic approach to healthcare, therefore our study aimed to evaluate eating behavior and demographic factors influencing chronic disease prevalence in a sample of community nurses from Romania.MethodsBetween October–November 2023, 1920 community nurses were invited to answer an online survey, using an advertisement in their professional network. Of them, 788 responded. In the survey, which included a semi-quantitative food frequency questionnaire with 53 food items, the Intuitive Eating Survey 2 (IES-2), and demographic items were used.ResultsA multivariate model was built for the prediction of the association between eating behavior and other factors associated with chronic diseases. The majority of participants were females (95.1%), with the largest age group falling between 40 and 49.9 years (48.2%). Regarding the EFSA criteria for adequate carbohydrate and fat intake, 20.2% of the group have a high intake of carbohydrates, respectively, 43.4% of the group have a high intake of fat. Analysis of chronic diseases indicated that 24.9% of individuals reported at least one diagnosis by a physician. The presence of chronic disease was associated with a low level of perceived health status, with an OR = 3.388, 95%CI (1.684–6.814), compared to those reporting excellent or very good perceived health status. High stress had an OR = 1.483, 95%CI (1.033–2.129). BMI had an OR = 1.069, 95%CI (1.032–1.108), while low carbohydrate diet score had an OR = 0.956, 95%CI (0.920–0.992). Gender and IES-2 did not significantly contribute to the model, but their effect was controlled.DiscussionBy unraveling the intricate interplay between nutrition, lifestyle, and health outcomes in this healthcare cohort, our findings contribute valuable insights for the development of targeted interventions and support programs tailored to enhance the well-being of community nurses and, by extension, the patients they support.

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“…Considering data from the 2017–2018 TackSHS survey, the estimated overall prevalence of overweight and obesity in Italian adults aged ≥18 years was 44.0%, with overweight prevalence being 36.5% and obesity prevalence 7.5% ( 62 ). Similar prevalences were observed with data from the multiscope survey “Aspects of daily life” of the Italian National Institute of Statistics (ISTAT) conducted in 2015 on a representative sample of nearly 46,000 subjects, from which it emerged that 35.3% of the population had overweight and 9.8% had obesity ( 63 ).…”

Section: Metabolic Risk Factors For Cvdmentioning

confidence: 99%

Genetic, lifestyle and metabolic factors contributing to cardiovascular disease in the Italian population: a literature review

Ojeda-Granados,

Campisi,

Barchitta

et al. 2024

Front. Nutr.

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Cardiovascular diseases (CVD) represent a major health problem worldwide. In Italy, despite the decline in CVD mortality and disability-adjusted life years recently observed, CVD remains the leading cause of death. The development of CVD has a complex and multifactorial etiology that involves environmental, lifestyle/behavioral (e.g., unhealthy diet, physical inactivity, smoking, and alcohol abuse), metabolic, and genetic factors. Although a large number of CVD susceptibility genetic variants have been identified, some seem to confer risk according to the genetic background or ethnicity of the population. Some CVD-associated polymorphisms with appreciable frequency in the Italian population may be important contributors to the development and progression of the most prevalent CVD in the population. This literature review aims to provide an overview of the epidemiology of CVD in Italy, as well as to highlight the main genetic, lifestyle/behavioral, and metabolic factors contributing to CVD risk in this population.

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Prevalence and Correlates of Overweight and Obesity in 12 European Countries in 2017–2018

Cited by 47 publications

References 33 publications

Assessment of Cardiovascular Risk Categories and Achievement of Therapeutic Targets in European Patients with Type 2 Diabetes

Assessment of Cardiovascular Risk Categories and Achievement of Therapeutic Targets in European Patients with Type 2 Diabetes

A comprehensive analysis concerning eating behavior associated with chronic diseases among Romanian community nurses

Genetic, lifestyle and metabolic factors contributing to cardiovascular disease in the Italian population: a literature review

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