Association between adherence to the mediterranean diet, physical activity, and sleep apnea-hypopnea syndrome (SAHS) in a middle-aged population with cardiovascular risk: Insights from the ILERVAS cohort.

INTRODUCTION: Sleep Apnea-Hypopnea Syndrome (SAHS) is a common sleep disorder influenced by factors like age, gender, and obesity. The Mediterranean Diet (MedDiet) and physical activity have shown health benefits in lung diseases, but their effects on SAHS remain underexplored. METHODS: In a cross-sectional analysis of 678 middle-aged individuals with low-to-moderate cardiovascular risk from the ILERVAS cohort, we assessed adherence to the MedDiet and physical activity levels using validated tools. Sleep parameters, SAHS severity, and excessive daytime sleepiness were evaluated through non-attended cardiorespiratory polygraphy and the Epworth Sleepiness Scale. Multinomial logistic regression models were employed to assess the relationship between MedDiet adherence, physical activity, and SAHS severity. RESULTS: The prevalence of severe, moderate, and mild SAHS was 15.5%, 23.2% and 36.1%, respectively. We found no significant associations between adherence to the MedDiet, physical activity levels, and the presence or severity of SAHS. However, we noted a significant interaction between MedDiet and physical activity with minimum SpO2 values (p = 0.049). Notably, consuming more than one serving of red meat per day was independently associated with a higher risk of moderate SAHS [OR = 2.65 (1.29-5.44), p = 0.008]. CONCLUSION: Individually, MedDiet adherence and physical activity did not show independent correlations with SAHS. However, when considered together, a minimal but significant effect on minimum SpO2 was observed. Additionally, red meat consumption was associated with a moderate risk of SAHS. Further research is necessary to comprehend the intricate connections between lifestyle factors and sleep-breathing disorders, with a focus on personalized approaches for high-risk populations.

Prevalence of Obstructive Sleep Apnoea and Its Association With Atherosclerotic Plaques in a Cohort of Subjects With Mild–Moderate Cardiovascular Risk

Introduction: Classic cardiovascular risk factors do not explain all the cardiovascular events. Obstructive sleep apnoea (OSA) has been proposed as a potential and prevalent cardiovascular risk factor. Our study aimed to describe the prevalence of OSA in a middle-aged cohort with mild–moderate cardiovascular risk and evaluate its association with atherosclerotic disease. Methods: This is an observational cross-sectional ancillary study of the ILERVAS project which was aimed to study subclinical arterial disease in a cohort with mild–moderate cardiovascular risk. In a sample of consecutive subjects, we performed a sleep study and evaluate OSA prevalence and its association with carotid and femoral atheroma plaques and atherosclerotic burden. Results: Overall, 966 subjects with a median age of 57 years (25–75th percentile; 52–62) and a body mass index (BMI) of 28.5kg/m2 (25.6–31.6) were included. Of these, 72.6% (69.7%–75.3%) had OSA (apnoea–hypopnoea index (AHI)≥5/h); 35.7% (32.8%–38.8%) had mild OSA (AHI 5–14.9/h) and 36.9% (33.9%–39.9%) had moderate/severe OSA (AHI≥15/h). Mean oxygen saturation and the percentage of time with oxygen saturation<90% (CT90) were associated with atherosclerotic burden (eβ (95%CI) 0.932 (0.892, 0.974); 1.005 (1.002, 1.009), respectively) and total plaque (OR (95%CI) 0.88 (0.797,0.971); 1.013 (1.004,1.021), respectively). No association with the AHI or oxygen desaturation index was found. Conclusions: This study confirms a high prevalence of OSA in patients with mild–moderate cardiovascular risk and shows an association between atherosclerotic burden, total and femoral plaque with CT90 and mean oxygen saturation, suggesting the importance of OSA-related hypoxaemia in the induction of atherosclerotic disease. (AU)

Prediabetes Is Associated with Increased Prevalence of Sleep-Disordered Breathing.

Type 2 diabetes leads to severe nocturnal hypoxemia, with an increase in apnea events and daytime sleepiness. Hence, we assessed sleep breathing parameters in the prediabetes stage. A cross-sectional study conducted on 966 middle-aged subjects without known pulmonary disease (311 patients with prediabetes and 655 controls with normal glucose metabolism) was conducted. Prediabetes was defined by glycated hemoglobin (HbA1c), and a nonattended overnight home sleep study was performed. Participants with prediabetes (n = 311) displayed a higher apnea−hypopnea index (AHI: 12.7 (6.1;24.3) vs. 9.5 (4.2;19.6) events/h, p < 0.001) and hypopnea index (HI: 8.4 (4.0;14.9) vs. 6.0 (2.7;12.6) events/h, p < 0.001) than controls, without differences in the apnea index. Altogether, the prevalence of obstructive sleep apnea was higher in subjects with prediabetes than in controls (78.1 vs. 69.9%, p = 0.007). Additionally, subjects with prediabetes presented impaired measurements of the median and minimum nocturnal oxygen saturation, the percentage of time spent with oxygen saturations below 90%, and the 4% oxygen desaturation index in comparison with individuals without prediabetes (p < 0.001 for all). After adjusting for age, sex, and the presence of obesity, HbA1c correlated with the HI in the entire population (r = 0.141, p < 0.001), and the presence of prediabetes was independently associated with the AHI (B = 2.20 (0.10 to 4.31), p = 0.040) as well as the HI (B = 1.87 (0.61 to 3.14), p = 0.004) in the multiple linear regression model. We conclude that prediabetes is an independent risk factor for an increased AHI after adjusting for age, sex, and obesity. The enhanced AHI is mainly associated with increments in the hypopnea events.

Weak Association between Skin Autofluorescence Levels and Prediabetes with an ILERVAS Cross-Sectional Study.

A large body of evidence demonstrates a relationship between hyperglycemia and increased concentrations of advanced glycation end-products (AGEs). However, there is little information about subcutaneous AGE accumulation in subjects with prediabetes, and whether or not this measurement could assist in the diagnosis of prediabetes is unclear. A cross-sectional study was conducted in 4181 middle-aged subjects without diabetes. Prediabetes (n = 1444) was defined as a glycosylated hemoglobin (HbA1c) level between 39 and 47 mmol/mol (5.7 to 6.4%), and skin autofluorescence (SAF) measurement was performed to assess AGEs. A multivariable logistic regression model and receiver operating characteristic curve were used. The cohort consisted of 50.1% women with an age of 57 [52;62] years, a BMI of 28.3 [25.4;31.6] kg/m2, and a prevalence of prediabetes of 34.5%. Participants with prediabetes showed higher SAF than control participants (2.0 [1.7;2.2] vs. 1.9 [1.7;2.2], p < 0.001). However, HbA1c was not significantly correlated with SAF levels (r = 0.026, p = 0.090). In addition, the SAF level was not independently associated with prediabetes (OR = 1.12 (0.96 to 1.30)). Finally, there was no good cutoff point for SAF to identify patients with prediabetes (AUC = 0.52 (0.50 to 0.54), sensitivity = 0.61, and 1-specificity = 0.56). Given all of this evidence, we can conclude that although there is an increase in SAF levels in participants with prediabetes, the applicability and clinical relevance of the results is low in this population.

Is There a Link between Obesity Indices and Skin Autofluorescence? A Response from the ILERVAS Project.

There is controversial information about the accumulation of advanced glycation end-products (AGEs) in obesity. We assessed the impact of total and abdominal adiposity on AGE levels via a cross-sectional investigation with 4254 middle-aged subjects from the ILERVAS project. Skin autofluorescence (SAF), a non-invasive assessment of subcutaneous AGEs, was measured. Total adiposity indices (BMI and Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE)) and abdominal adiposity (waist circumference and body roundness index (BRI)) were assessed. Lean mass was estimated using the Hume index. The area under the receiver operating characteristic (ROC) curve was evaluated for each index. Different cardiovascular risk factors (smoking, prediabetes, hypertension and dyslipidemia) were evaluated. In the study population, 26.2% showed elevated SAF values. No differences in total body fat, visceral adiposity and lean body mass were detected between patients with normal and high SAF values. SAF levels showed a very slight but positive correlation with total body fat percentage (estimated by the CUN-BAE formula) and abdominal adiposity (estimated by the BRI). However, none of them had sufficient power to identify patients with high SAF levels (area under the ROC curve <0.52 in all cases). Finally, a progressive increase in SAF levels was observed in parallel with cardiovascular risk factors in the entire population and when patients with normal weight, overweight and obesity were evaluated separately. In conclusion, total obesity and visceral adiposity are not associated with a greater deposit of AGE. The elevation of AGE in obesity is related to the presence of cardiometabolic risk.

Prevalence of Obstructive Sleep Apnoea and Its Association With Atherosclerotic Plaques in a Cohort of Subjects With Mild-Moderate Cardiovascular Risk.

INTRODUCTION: Classic cardiovascular risk factors do not explain all the cardiovascular events. Obstructive sleep apnoea (OSA) has been proposed as a potential and prevalent cardiovascular risk factor. Our study aimed to describe the prevalence of OSA in a middle-aged cohort with mild-moderate cardiovascular risk and evaluate its association with atherosclerotic disease. METHODS: This is an observational cross-sectional ancillary study of the ILERVAS project which was aimed to study subclinical arterial disease in a cohort with mild-moderate cardiovascular risk. In a sample of consecutive subjects, we performed a sleep study and evaluate OSA prevalence and its association with carotid and femoral atheroma plaques and atherosclerotic burden. RESULTS: Overall, 966 subjects with a median age of 57 years (25-75th percentile; 52-62) and a body mass index (BMI) of 28.5kg/m2 (25.6-31.6) were included. Of these, 72.6% (69.7%-75.3%) had OSA (apnoea-hypopnoea index (AHI)≥5/h); 35.7% (32.8%-38.8%) had mild OSA (AHI 5-14.9/h) and 36.9% (33.9%-39.9%) had moderate/severe OSA (AHI≥15/h). Mean oxygen saturation and the percentage of time with oxygen saturation<90% (CT90) were associated with atherosclerotic burden (eß (95%CI) 0.932 (0.892, 0.974); 1.005 (1.002, 1.009), respectively) and total plaque (OR (95%CI) 0.88 (0.797,0.971); 1.013 (1.004,1.021), respectively). No association with the AHI or oxygen desaturation index was found. CONCLUSIONS: This study confirms a high prevalence of OSA in patients with mild-moderate cardiovascular risk and shows an association between atherosclerotic burden, total and femoral plaque with CT90 and mean oxygen saturation, suggesting the importance of OSA-related hypoxaemia in the induction of atherosclerotic disease.

Clinical Usefulness of Anthropometric Indices to Predict the Presence of Prediabetes. Data from the ILERVAS Cohort.

Prediabetes is closely related to excess body weight and adipose distribution. For this reason, we aimed to assess and compare the diagnostic usefulness of ten anthropometric adiposity indices to predict prediabetes. Cross-sectional study with 8188 overweight subjects free of type 2 diabetes from the ILERVAS project (NCT03228459). Prediabetes was diagnosed by levels of glycated hemoglobin (HbA1c). Total body adiposity indices [BMI, Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) and Deurenberg's formula] and abdominal adiposity (waist and neck circumferences, conicity index, waist to height ratio, Bonora's equation, A body shape index, and body roundness index) were calculated. The area under the receiver-operating characteristic (ROC) curve, the best cutoff and the prevalence of prediabetes around this value were calculated for every anthropometric index. All anthropometric indices other than the A body adiposity were higher in men and women with prediabetes compared with controls (p < 0.001 for all). In addition, a slightly positive correlation was found between indices and HbA1c in both sexes (r ≤ 0.182 and p ≤ 0.026 for all). None of the measures achieved acceptable levels of discrimination in ROC analysis (area under the ROC ≤ 0.63 for all). Assessing BMI, the prevalence of prediabetes among men increased from 20.4% to 36.2% around the cutoff of 28.2 kg/m2, with similar data among women (from 29.3 to 44.8% with a cutoff of 28.6 kg/m2). No lonely obesity index appears to be the perfect biomarker to use in clinical practice to detect individuals with prediabetes.

Characteristics of atheromatosis in the prediabetes stage: a cross-sectional investigation of the ILERVAS project.

BACKGROUND: Prediabetes has recently been associated with subclinical atheromatous disease in the middle-aged population. Our aim was to characterize atheromatous plaque burden by the number of affected territories and the total plaque area in the prediabetes stage. METHODS: Atheromatous plaque burden (quantity of plaques and total plaque area) was assessed in 12 territories from the carotid and femoral regions using ultrasonography in 6688 non-diabetic middle-aged subjects without cardiovascular disease. Prediabetes was defined by glycosylated hemoglobin (HbA1c) between 5.7 and 6.4% according to the American Diabetes Association guidelines. RESULTS: Prediabetes was diagnosed in 33.9% (n = 2269) of the ILERVAS participants. Subjects with prediabetes presented a higher prevalence of subclinical atheromatous disease than participants with HbA1c < 5.7% (70.4 vs. 67.5%, p = 0.017). In the population with prediabetes this was observed at the level of the carotid territory (p < 0.001), but not in the femoral arteries. Participants in the prediabetes stage also presented a significantly higher number of affected territories (2 [1;3] vs. 1 [0;3], p = 0.002), with a positive correlation between HbA1c levels and the number of affected territories (r = 0.068, p < 0.001). However, atheromatosis was only significantly (p = 0.016) magnified by prediabetes in those subjects with 3 or more cardiovascular risk factors. The multivariable logistic regression model showed that the well-established cardiovascular risk factors together with HbA1c were independently associated with the presence of atheromatous disease in participants with prediabetes. When males and females were analyzed separately, we found that only men with prediabetes presented both carotid and femoral atherosclerosis, as well as an increase of total plaque area in comparison with non-prediabetic subjects. CONCLUSIONS: The prediabetes stage is accompanied by an increased subclinical atheromatous disease only in the presence of other cardiovascular risk factors. Prediabetes modulates the atherogenic effect of cardiovascular risk factors in terms of distribution and total plaque area in a sex-dependent manner. Trial registration NCT03228459 (clinicaltrials.gov).

Dissimilar Impact of a Mediterranean Diet and Physical Activity on Anthropometric Indices: A Cross-Sectional Study from the ILERVAS Project.

There is a close relationship between lifestyle behaviors and excess adiposity. Although body mass index (BMI) is the most used approach to estimate excess weight, other anthropometric indices have been developed to measure total body and abdominal adiposity. However, little is known about the impact of physical activity and adherence to a Mediterranean diet on these indices. Here we report the results of a cross-sectional study with 6672 middle-aged subjects with low to moderate cardiovascular risk from the Ilerda Vascular (ILERVAS) project. The participants' adherence to physical activity (International Physical Activity Questionnaire short form) and MedDiet (Mediterranean Diet Adherence Screener) was evaluated. Measures of total adiposity (BMI, Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE), and Deurenberg's formula), central adiposity (waist and neck circumferences, conicity index, waist to height ratio, Bonora's equation, A body adiposity index, and body roundness index), and lean body mass (Hume formula) were assessed. Irrespective of sex, lower indices of physical activity were associated with higher values of total body fat and central adiposity. This result was constant regardless of the indices used to estimate adiposity. However, the association between MedDiet and obesity indices was much less marked and more dependent on sex than that observed for physical activity. Lean body mass was influenced by neither physical activity nor MedDiet adherence. No joint effect between physical activity and MedDiet to lower estimated total or central adiposity indices was shown. In conclusion, physical activity is related to lower obesity indices in a large cohort of middle-aged subjects. MedDiet showed a slight impact on estimated anthropometric indices, with no joint effect when considering both lifestyle variables. ClinTrials.gov Identifier: NCT03228459.

[Monitoring a home care cohort]. / Seguimiento de una cohorte de atención domiciliaria.

OBJECTIVES: To evaluate home care by primary care teams for people over 65 years old with chronic conditions, in order to identify improvement opportunities. To identify patient and care variables associated with cognitive and functional impairment, nursing home admission, attendance at casualty units, hospital admission and death. DESIGN: Analytic study of the follow-up of a cohort for 3 years. SETTING: Primary health care teams in Catalonia, Spain. PATIENTS: One thousand three hundred patients over 65 with chronic pathologies and cared for by home care programmes in Catalonia. MAIN MEASUREMENTS: The following will be recorded annually: health status (Charlson, Barthel, Pfeiffer, Braden, and Gijón), data on the carer (Zarit), care received (social and health), self-perception of health (SF-12), Casualty attendance, short-term admissions and the final results, i.e. death or definitive admission to a nursing home or hospital. The statistical analyses will be based on logistic regression and a survival analysis. CONCLUSIONS: The study should reveal patient characteristics with prognostic value, as well as identify the social and health factors related to better survival and lower consumption of health and social resources.

Seguimiento de una cohorte de atención domiciliaria

Objetivo: Buscar oportunidades de mejora mediante la evaluación de la atención domiciliaria que ofrecen los equipos de atención primaria en nuestro entorno a las personas > 65 años de edad con enfermedades crónicas. Identificar cuáles son las variables del paciente y del servicio que recibe que se asocian con el deterioro funcional y cognitivo, ingreso en una residencia geriátrica, visita a urgencias, ingreso hospitalario o muerte. Diseño: Estudo analítico de seguimiento de una cohorte durante 3 años. Emplazamiento: Equipos de atención primaria de Cataluña. Participantes: En total, 1.300 pacientes > 65 años con enfermedades crónicas incluidos en el Programa de Atención Domiciliaria. Mediciones principales: Se recoge anualmente su estado de salud (Charlson, Barthel, Pfeiffer, Braden y Gijón), datos sobre el cuidador (Zarit), atenciones recibidas (social y sanitaria), sallud subjetiva (SF-12), visitas a urgencias, ingresos temporales y el resultado final: muerte, ingreso en residencias geriátricas u hospital. Los análisis principales se basarán e regresiones logísticas y una análisis de supervivencia. Discusión: El estudio permitirá identificar las características del paciente que tengan valor pronóstico, así como conocer las práticas de atención social y sanitaria que se asocian con una mejor supervivencia y un menor consumo de recursos sociosanitários(AU)

Seguimiento de una cohorte de atención domiciliaria / Monitoring a home care cohort

Objetivo. Buscar oportunidades de mejora mediante la evaluación de la atención domiciliaria que ofrecen los equipos de atención primaria en nuestro entorno a las personas > 65 años de edad con enfermedades crónicas. Identificar cuáles son las variables del paciente y del servicio que recibe que se asocian con el deterioro funcional y cognitivo, ingreso en una residencia geriátrica, visita a urgencias, ingreso hospitalario o muerte. Diseño. Estudio analítico de seguimiento de una cohorte durante 3 años. Emplazamiento. Equipos de atención primaria de Cataluña. Participantes. En total, 1.300 pacientes > 65 años con enfermedades crónicas incluidos en el Programa de Atención Domiciliaria. Mediciones principales. Se recoge anualmente su estado de salud (Charlson, Barthel, Pfeiffer, Braden y Gijón), datos sobre el cuidador (Zarit), atenciones recibidas (social y sanitaria), salud subjetiva (SF-12), visitas a urgencias, ingresos temporales y el resultado final: muerte, ingreso en residencias geriátricas u hospital. Los análisis principales se basarán en regresiones logísticas y una análisis de supervivencia. Discusión. El estudio permitirá identificar las características del paciente que tengan valor pronóstico, así como conocer las prácticas de atención social y sanitaria que se asocian con una mejor supervivencia y un menor consumo de recursos sociosanitarios

Objectives. To evaluate home care by primary care teams for people over 65 years old with chronic conditions, in order to identify improvement opportunities. To identify patient and care variables associated with cognitive and functional impairment, nursing home admission, attendance at casualty units, hospital admission and death. Design. Analytic study of the follow-up of a cohort for 3 years. Setting. Primary health care teams in Catalonia, Spain. Patients. One thousand three hundred patients over 65 with chronic pathologies and cared for by home care programmes in Catalonia. Main measurements. The following will be recorded annually: health status (Charlson, Barthel, Pfeiffer, Braden, and Gijón), data on the carer (Zarit), care received (social and health), self-perception of health (SF-12), Casualty attendance, short-term admissions and the final results, i.e. death or definitive admission to a nursing home or hospital. The statistical analyses will be based on logistic regression and a survival analysis. Conclusions. The study should reveal patient characteristics with prognostic value, as well as identify the social and health factors related to better survival and lower consumption of health and social resources