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1.
BMC Med ; 22(1): 332, 2024 Aug 15.
Artículo en Inglés | MEDLINE | ID: mdl-39148083

RESUMEN

BACKGROUND: Type 2 diabetes is one of the most prevalent and preventable diseases worldwide and impulsivity, a psychological trait characterized by making quick decisions without forethought, has been suggested as a key feature for health-related conditions. However, there have been no studies examining the relationships between impulsivity and the incidence of type 2 diabetes and our aim was to assess the prospective association between trait impulsivity and the risk of developing type 2 diabetes. METHODS: A prospective observational study design was conducted between May 2014 and February 2023 within the NutriNet-Santé cohort. A web-based platform was used to collect data from the French adult population, with voluntary enrollment and participation. Of the 157,591 adults (≥ 18 years old) participating in the NutriNet-Santé study when impulsivity was assessed, 109,214 participants were excluded due to prevalent type 1 or 2 diabetes or missing data for impulsivity or follow-up data for type 2 diabetes. Trait impulsivity, and the attention, motor, and non-planning subfactors, were assessed at baseline using the Barratt Impulsiveness Scale 11. Incident type 2 diabetes was ascertained through follow-up. Medical information was reviewed by NutriNet-Santé physician experts to ascertain incident diabetes cases based on the ICD-10. Cox regression models, using hazard ratios and 95% confidence intervals (HR [95% CI]), were performed to evaluate associations between impulsivity per 1 standard deviation increment and type 2 diabetes risk, adjusting by recognized confounders. RESULTS: Of the 48,377 individuals studied (women 77.6%; age at baseline = 50.6 year ± 14.5 years), 556 individuals developed type 2 diabetes over a median follow-up of 7.78 (IQR: 3.97-8.49) years. Baseline impulsivity was associated with an increased risk of type 2 diabetes incidence (HR = 1.10 [1.02, 1.20]). The motor impulsivity subfactor was positively associated with type 2 diabetes risk (HR = 1.14 [1.04, 1.24]), whereas no associations were found for attention and non-planning impulsivity subfactors. CONCLUSIONS: Trait impulsivity was associated with an increased type 2 diabetes risk, mainly driven by the motor impulsivity subfactor. If these results are replicated in other populations and settings, trait impulsivity may become an important psychological risk factor to be considered in the prevention of type 2 diabetes. COHORT REGISTRATION: Name of registry: The NutriNet-Santé Study. A Web-based Prospective Cohort Study of the Relationship Between Nutrition and Health and of Dietary Patterns and Nutritional Status Predictors. Cohort registration number: NCT03335644. Date of registration: October 11, 2017. URL: https://clinicaltrials.gov/ct2/show/NCT03335644.


Asunto(s)
Diabetes Mellitus Tipo 2 , Conducta Impulsiva , Humanos , Diabetes Mellitus Tipo 2/epidemiología , Masculino , Femenino , Persona de Mediana Edad , Adulto , Incidencia , Estudios Prospectivos , Francia/epidemiología , Estudios de Seguimiento , Factores de Riesgo , Anciano
2.
Eur J Pediatr ; 183(4): 1819-1830, 2024 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-38260993

RESUMEN

To assess the associations between the adherence to a composite score comprised of 6 healthy lifestyle behaviors and its individual components with several cardiometabolic risk factors in Spanish preschool children. Cross-sectional analyses were conducted in 938 participants included in the CORALS cohort aged 3-6 years. Six recognized healthy lifestyle behaviors (breastfeeding, sleep duration, physical activity, screentime, adherence to the Mediterranean diet, and eating speed) were assessed in a composite score. Multiple linear and logistic regression models were fitted to assess the associations with cardiometabolic risk factors (weight status, waist circumference, fat mass index, blood pressure, fasting plasma glucose, and lipid profile). In the adjusted multiple linear and logistic regression models, compared with the reference category of adherence to the healthy lifestyle behavior composite score, those participants in the category of the highest adherence showed significant decreased prevalence risk of overweight or obesity [OR (95% CI), 0.4 (0.2, 0.6)] as well as significant lower waist circumference, fat mass index (FMI), systolic blood pressure and fasting plasma glucose concentration [ß (95% CI), - 1.4 cm (- 2.5, - 0.4); - 0.3 kg/m2 (- 0.5, - 0.1); and - 3.0 mmHg (- 5.2, - 0.9); - 1.9 mg/dL (- 3.5, - 0.4), respectively]. Slow eating speed was individually associated with most of the cardiometabolic risk factors.   Conclusions: Higher adherence to the healthy lifestyle behavior composite score was associated with lower waist circumference, FMI, other cardiometabolic risk factors, and risk of overweight or obesity in Spanish preschool children. Further studies are required to confirm these associations. What is Known: • Lifestyle is a well-recognized etiologic factor of obesity and its comorbidities. • Certain healthy behaviors such as adhering to a healthy diet, increasing physical activity, and decreasing screentime are strategies for prevention and treatment of childhood obesity. What is New: • Higher adherence to the healthy lifestyle behavior composite score to 6 healthy behaviors (breastfeeding, sleep duration, physical activity, screentime, eating speed, and adherence to the Mediterranean diet) was associated with decreased adiposity, including prevalence risk of overweight or obesity, and cardiometabolic risk in preschool children. • Slow eating and greater adherence to the Mediterranean diet were mainly associated to lower fasting plasma and serum triglycerides concentration, respectively.


Asunto(s)
Obesidad Infantil , Niño , Preescolar , Humanos , Obesidad Infantil/epidemiología , Obesidad Infantil/etiología , Obesidad Infantil/prevención & control , Sobrepeso/epidemiología , Factores de Riesgo Cardiometabólico , Glucemia/análisis , Estudios Transversales , Índice de Masa Corporal , Estilo de Vida Saludable , Factores de Riesgo
3.
Ann N Y Acad Sci ; 2024 Aug 16.
Artículo en Inglés | MEDLINE | ID: mdl-39150983

RESUMEN

Impulsivity has been proposed to have an impact on glycemic dysregulation. However, it remains uncertain whether an unfavorable glycemic status could also contribute to an increase in impulsivity levels. This study aims to analyze associations of baseline and time-varying glycemic status with 3-year time-varying impulsivity in older adults at high risk of cardiovascular disease. A 3-year prospective cohort design was conducted within the PREDIMED-Plus-Cognition substudy. The total population includes 487 participants (mean age = 65.2 years; female = 50.5%) with overweight or obesity and metabolic syndrome. Insulin resistance (HOMA-IR), glycated hemoglobin (HbA1c), presence of type 2 diabetes mellitus, and type 2 diabetes control were evaluated. Impulsivity was measured using the Impulsive Behavior Scale questionnaire and various cognitive measurements. Impulsivity z-scores were generated to obtain Global, Trait, and Behavioral Impulsivity domains. Linear mixed models were used to study the longitudinal associations across baseline, 1-year, and 3-year follow-up visits. HOMA-IR was not significantly related to impulsivity. Participants with higher HbA1c levels, type 2 diabetes, and poor control of diabetes showed positive associations with the Global Impulsivity domain over time, and those with higher HbA1c levels were further related to increases in the Trait and Behavioral Impulsivity domains over the follow-up visits. These results suggest a potential positive feedback loop between impulsivity and glycemic-related dysregulation.

4.
Aging Dis ; 2024 Jul 21.
Artículo en Inglés | MEDLINE | ID: mdl-39122449

RESUMEN

Cognitive decline has been reported as a short-term sequela in patients hospitalized for coronavirus disease-19 (COVID-19). Whether COVID-19 is associated with late cognitive impairment in older free-living individuals with high cardiovascular risk, a group at greater risk of cognitive decline, is unknown. We determined this association of COVID-19 through a longitudinal evaluation of post-COVID-19 cognitive performance and impairment as post hoc analysis in 5,179 older adults (48% female) with mean (SD) age 68.5 (5.0) years, body mass index 31.7 (3.7) kg/m2, harboring ≥ 3 criteria for metabolic syndrome (e.g., hypertension, hyperlipidemia, hyperglycemia etc.) enrolled in PREDIMED-Plus trial. Pre- and post-COVID-19 cognitive performance was ascertained from scheduled assessments conducted using a battery of neuropsychological tests, including 5 domains: Global Cognitive Function, General Cognitive Function, Execution Function, Verbal Fluency and Attention domains, which were standardized for the cohort. Cognitive impairment was defined as the bottom 10 percentile of the sample. Multivariable linear and logistic regression models assessed the association of COVID-19 with cognitive decline and impairment, respectively. After a mean 50-week follow-up, no significant associations were observed between COVID-19 status and post-COVID-19 scores of all tapped neuropsychological domains, except Global Cognitive Function (GCF). When fully adjusted, COVID-19 was marginally associated with higher (better) post-pandemic GCF score (ßadj (95% CI): 0.06 (0.00, 0.13) p=.05). However, the odds for post-COVID-19 cognitive impairment in GCF domain were not associated with the disease (ORadj (95% CI): 0.90 (0.53, 1.51) p=.68). In the PREDIMED-Plus cohort, COVID-19 status and cognitive impairment determined 50 weeks post-infection showed no association in older adults at high cardiovascular risk. This suggests that cognitive changes observed shortly after COVID-19 revert over time. However, cautious interpretation is warranted as these data were obtained within the framework of a clinical trial encouraging a healthy lifestyle.

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