
2025
AbstractURLBibTeXEndNoteDOIBibSonomy1.Mira-Martínez S, Malih N, Angullo-Martínez E, Zamanillo-Campos R, Yañez AM, Bennasar-Veny M, Gómez-Juanes R, Konieczna J, Jiménez R, Serrano-Ripoll MJ, Fiol deRoque MA, Leiva A, Galmes-Panades AM, Miralles-Xamena J, Vidal-Thomàs MC, Gómez-Cobo C, Gervilla E, Oña-Gil JI, Ricci-Cabello I. A Multifaceted Digital Intervention for the Prevention of Type 2 Diabetes Mellitus in Primary Care (PREDIABETEXT): Cluster Randomized Trial. Journal of medical Internet research [Internet]. Canada; 2025 Oct.;27:e70981-e70981. https://pubmed.ncbi.nlm.nih.gov/41067715BACKGROUND: The diabetes epidemic continues to surge worldwide, demanding urgent and innovative solutions. Digital health interventions, particularly those targeting behavior change, hold promise due to their affordability and scalability. However, research in this field remains in its early stages. OBJECTIVE: This study aimed to evaluate the effectiveness of PREDIABETEXT (Prediabetes Text Message Digital Intervention for the Prevention of Type 2 Diabetes Mellitus), a digital health intervention, in reducing glycated hemoglobin (HbA(1c)) and in improving secondary clinical, physiological, and behavioral outcomes. METHODS: We conducted a 6-month, 3-arm, pragmatic cluster randomized clinical trial. We recruited patients with prediabetes (HbA(1c) levels between 6% and 6.4% in the previous 3 months or 2 consecutive fasting plasma glucose measurements of 110-125 mg/dL) registered at primary care centers in the Balearic Islands, Spain. The PREDIABETEXT intervention consisted of 3 personalized SMS text messages per week aimed at supporting lifestyle behavior changes and online training for their primary health care professionals. A total of 58 professionals (clusters) from 16 centers participated in the study and were randomized (1:1:1) to intervention group A (patient SMS text messaging), intervention group B (patient SMS text messaging+health care professional web-based training), or the control group (usual care). Following the 6-month intervention period, we conducted individual qualitative interviews with 8 patients and 7 health care professionals to evaluate their experiences with the intervention in terms of utility, satisfaction, and implementation barriers. RESULTS: In total, 58 health care professionals (clusters) were included, allocated to the control group (n=20, 34%; 119/365, 32.6% patients), intervention group A (SMS text messaging only; n=18, 31%; 106/365, 29% patients), and intervention group B (SMS text messaging+training; n=20, 34%; 140/365, 38.4% patients). The mean age of the patients was 59.79 (SD 9.75) years, and 54.5% (199/365) were female. The results of the intention-to-treat analysis at the 6-month time point showed that intervention A led to a small, nonsignificant reduction in HbA(1c) levels compared to the control group (β=-0.05, 95% CI -0.21 to 0.10; P=.50), whereas intervention B showed a similar nonsignificant reduction (β=-0.04, 95% CI -0.12 to 0.10; P=.56). No substantial differences were observed in the remaining secondary outcomes. Interviews revealed positive feedback from patients, who appreciated the intervention's dietary messages and their frequency and practicality. Participants suggested enhancements such as increased personalization, links to recipes, and nursing follow-ups. Health care professionals valued the online training but highlighted time constraints, suggesting shorter or blended formats to improve accessibility. CONCLUSIONS: While PREDIABETEXT did not significantly improve HbA(1c) levels, it demonstrated potential benefits for patient engagement. Further studies involving more intensive interventions are warranted to confirm the clinical impact on diabetes prevention. TRIAL REGISTRATION: ClinicalTrials.gov NCT05110625; https://www.clinicaltrials.gov/study/NCT05110625. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.3390/ijerph192214706.@article{miramartinez2025multifaceted,
abstract = {BACKGROUND: The diabetes epidemic continues to surge worldwide, demanding urgent and innovative solutions. Digital health interventions, particularly those targeting behavior change, hold promise due to their affordability and scalability. However, research in this field remains in its early stages. OBJECTIVE: This study aimed to evaluate the effectiveness of PREDIABETEXT (Prediabetes Text Message Digital Intervention for the Prevention of Type 2 Diabetes Mellitus), a digital health intervention, in reducing glycated hemoglobin (HbA(1c)) and in improving secondary clinical, physiological, and behavioral outcomes. METHODS: We conducted a 6-month, 3-arm, pragmatic cluster randomized clinical trial. We recruited patients with prediabetes (HbA(1c) levels between 6% and 6.4% in the previous 3 months or 2 consecutive fasting plasma glucose measurements of 110-125 mg/dL) registered at primary care centers in the Balearic Islands, Spain. The PREDIABETEXT intervention consisted of 3 personalized SMS text messages per week aimed at supporting lifestyle behavior changes and online training for their primary health care professionals. A total of 58 professionals (clusters) from 16 centers participated in the study and were randomized (1:1:1) to intervention group A (patient SMS text messaging), intervention group B (patient SMS text messaging+health care professional web-based training), or the control group (usual care). Following the 6-month intervention period, we conducted individual qualitative interviews with 8 patients and 7 health care professionals to evaluate their experiences with the intervention in terms of utility, satisfaction, and implementation barriers. RESULTS: In total, 58 health care professionals (clusters) were included, allocated to the control group (n=20, 34%; 119/365, 32.6% patients), intervention group A (SMS text messaging only; n=18, 31%; 106/365, 29% patients), and intervention group B (SMS text messaging+training; n=20, 34%; 140/365, 38.4% patients). The mean age of the patients was 59.79 (SD 9.75) years, and 54.5% (199/365) were female. The results of the intention-to-treat analysis at the 6-month time point showed that intervention A led to a small, nonsignificant reduction in HbA(1c) levels compared to the control group (β=-0.05, 95% CI -0.21 to 0.10; P=.50), whereas intervention B showed a similar nonsignificant reduction (β=-0.04, 95% CI -0.12 to 0.10; P=.56). No substantial differences were observed in the remaining secondary outcomes. Interviews revealed positive feedback from patients, who appreciated the intervention's dietary messages and their frequency and practicality. Participants suggested enhancements such as increased personalization, links to recipes, and nursing follow-ups. Health care professionals valued the online training but highlighted time constraints, suggesting shorter or blended formats to improve accessibility. CONCLUSIONS: While PREDIABETEXT did not significantly improve HbA(1c) levels, it demonstrated potential benefits for patient engagement. Further studies involving more intensive interventions are warranted to confirm the clinical impact on diabetes prevention. TRIAL REGISTRATION: ClinicalTrials.gov NCT05110625; https://www.clinicaltrials.gov/study/NCT05110625. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.3390/ijerph192214706.},
address = {Canada},
author = {Mira-Martínez, Sofía and Malih, Narges and Angullo-Martínez, Escarlata and Zamanillo-Campos, Rocío and Yañez, Aina M and Bennasar-Veny, Miquel and Gómez-Juanes, Rocío and Konieczna, Jadwiga and Jiménez, Rafael and Serrano-Ripoll, Maria J and Fiol deRoque, Maria Antonia and Leiva, Alfonso and Galmes-Panades, Aina M and Miralles-Xamena, Jerónima and Vidal-Thomàs, Maria Clara and Gómez-Cobo, Cristina and Gervilla, Elena and Oña-Gil, José Iván and Ricci-Cabello, Ignacio},
journal = {Journal of medical Internet research},
keywords = {evisap},
month = {oct},
pages = {e70981--e70981},
title = {A Multifaceted Digital Intervention for the Prevention of Type 2 Diabetes Mellitus in Primary Care (PREDIABETEXT): Cluster Randomized Trial},
volume = 27,
year = 2025
}%0 Journal Article
%1 miramartinez2025multifaceted
%A Mira-Martínez, Sofía
%A Malih, Narges
%A Angullo-Martínez, Escarlata
%A Zamanillo-Campos, Rocío
%A Yañez, Aina M
%A Bennasar-Veny, Miquel
%A Gómez-Juanes, Rocío
%A Konieczna, Jadwiga
%A Jiménez, Rafael
%A Serrano-Ripoll, Maria J
%A Fiol deRoque, Maria Antonia
%A Leiva, Alfonso
%A Galmes-Panades, Aina M
%A Miralles-Xamena, Jerónima
%A Vidal-Thomàs, Maria Clara
%A Gómez-Cobo, Cristina
%A Gervilla, Elena
%A Oña-Gil, José Iván
%A Ricci-Cabello, Ignacio
%C Canada
%D 2025
%J Journal of medical Internet research
%P e70981--e70981
%R 10.2196/70981
%T A Multifaceted Digital Intervention for the Prevention of Type 2 Diabetes Mellitus in Primary Care (PREDIABETEXT): Cluster Randomized Trial
%U https://pubmed.ncbi.nlm.nih.gov/41067715
%V 27
%X BACKGROUND: The diabetes epidemic continues to surge worldwide, demanding urgent and innovative solutions. Digital health interventions, particularly those targeting behavior change, hold promise due to their affordability and scalability. However, research in this field remains in its early stages. OBJECTIVE: This study aimed to evaluate the effectiveness of PREDIABETEXT (Prediabetes Text Message Digital Intervention for the Prevention of Type 2 Diabetes Mellitus), a digital health intervention, in reducing glycated hemoglobin (HbA(1c)) and in improving secondary clinical, physiological, and behavioral outcomes. METHODS: We conducted a 6-month, 3-arm, pragmatic cluster randomized clinical trial. We recruited patients with prediabetes (HbA(1c) levels between 6% and 6.4% in the previous 3 months or 2 consecutive fasting plasma glucose measurements of 110-125 mg/dL) registered at primary care centers in the Balearic Islands, Spain. The PREDIABETEXT intervention consisted of 3 personalized SMS text messages per week aimed at supporting lifestyle behavior changes and online training for their primary health care professionals. A total of 58 professionals (clusters) from 16 centers participated in the study and were randomized (1:1:1) to intervention group A (patient SMS text messaging), intervention group B (patient SMS text messaging+health care professional web-based training), or the control group (usual care). Following the 6-month intervention period, we conducted individual qualitative interviews with 8 patients and 7 health care professionals to evaluate their experiences with the intervention in terms of utility, satisfaction, and implementation barriers. RESULTS: In total, 58 health care professionals (clusters) were included, allocated to the control group (n=20, 34%; 119/365, 32.6% patients), intervention group A (SMS text messaging only; n=18, 31%; 106/365, 29% patients), and intervention group B (SMS text messaging+training; n=20, 34%; 140/365, 38.4% patients). The mean age of the patients was 59.79 (SD 9.75) years, and 54.5% (199/365) were female. The results of the intention-to-treat analysis at the 6-month time point showed that intervention A led to a small, nonsignificant reduction in HbA(1c) levels compared to the control group (β=-0.05, 95% CI -0.21 to 0.10; P=.50), whereas intervention B showed a similar nonsignificant reduction (β=-0.04, 95% CI -0.12 to 0.10; P=.56). No substantial differences were observed in the remaining secondary outcomes. Interviews revealed positive feedback from patients, who appreciated the intervention's dietary messages and their frequency and practicality. Participants suggested enhancements such as increased personalization, links to recipes, and nursing follow-ups. Health care professionals valued the online training but highlighted time constraints, suggesting shorter or blended formats to improve accessibility. CONCLUSIONS: While PREDIABETEXT did not significantly improve HbA(1c) levels, it demonstrated potential benefits for patient engagement. Further studies involving more intensive interventions are warranted to confirm the clinical impact on diabetes prevention. TRIAL REGISTRATION: ClinicalTrials.gov NCT05110625; https://www.clinicaltrials.gov/study/NCT05110625. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.3390/ijerph192214706.
AbstractURLBibTeXEndNoteDOIBibSonomy1.Bescos R, Gallardo-Alfaro L, Ashor A, Rizzolo-Brime L, Siervo M, Casas-Agustench P. Nitrate and nitrite bioavailability in plasma and saliva: Their association with blood pressure - A systematic review and meta-analysis. Free radical biology & medicine [Internet]. United States; 2025 Jan.;226:70-83. https://pubmed.ncbi.nlm.nih.gov/39522567In this study, we conducted a systematic review and meta-analysis to determine plasma and salivary nitrate (NO(3)(-)) and nitrite (NO(2)(-)) concentrations under resting and fasting conditions in different type of individuals and their association with blood pressure levels. A total of 77 studies, involving 1918 individuals aged 19-74 years (males = 906; females = 1012), which measured plasma and/or salivary NO(3)(-) and NO(2)(-) using the chemiluminescence technique, were included. Mean plasma NO(3)(-) and NO(2)(-) concentrations were 33.9 μmol/L and 158.3 nmol/L, respectively. Subgroup analyses revealed lower plasma NO(3)(-) and NO(2)(-) concentrations in individuals with cardiometabolic risk (NO(3)(-): 21.2 μmol/L; 95 % CI, 13.4-29.0; NO(2)(-): 122.8 nmol/L; 95 % CI, 75.3-138.9) compared to healthy (NO(3)(-): 33.9 μmol/L; 95 % CI, 29.9-37.9; NO(2)(-): 159.5 nmol/L; 95 % CI, 131.8-187.1; P < 0.01) and trained individuals (NO(3)(-): 43.0 μmol/L; 95 % CI, 13.2-72.9; NO(2)(-): 199.3 nmol/L; 95 % CI, 117.6-281; P < 0.01). Mean salivary NO(3)(-) and NO(2)(-) concentrations were 546.2 μmol/L and 197.8 μmol/L, respectively. Salivary NO(3)(-), but no NO(2)(-), concentrations were higher in individuals with cardiometabolic risk (680.0 μmol/L; 95 % CI, 510.2-849.8; P = 0.001) compared to healthy individuals (535.9 μmol/L; 95 % CI, 384.2-687.6). A significant positive association (coefficient, 15.4 [95 % CI, 0.255 to 30.5], P = 0.046) was observed between salivary NO(3)(-) and diastolic blood pressure (DBP). These findings suggest that the health status is positively associated with plasma NO(3)(-) and NO(2)(-) concentrations, but the circulatory levels of these anions are not associated with blood pressure. Only salivary NO(3)(-) showed a significant positive association with DBP.@article{bescos2025nitrate,
abstract = {In this study, we conducted a systematic review and meta-analysis to determine plasma and salivary nitrate (NO(3)(-)) and nitrite (NO(2)(-)) concentrations under resting and fasting conditions in different type of individuals and their association with blood pressure levels. A total of 77 studies, involving 1918 individuals aged 19-74 years (males = 906; females = 1012), which measured plasma and/or salivary NO(3)(-) and NO(2)(-) using the chemiluminescence technique, were included. Mean plasma NO(3)(-) and NO(2)(-) concentrations were 33.9 μmol/L and 158.3 nmol/L, respectively. Subgroup analyses revealed lower plasma NO(3)(-) and NO(2)(-) concentrations in individuals with cardiometabolic risk (NO(3)(-): 21.2 μmol/L; 95 % CI, 13.4-29.0; NO(2)(-): 122.8 nmol/L; 95 % CI, 75.3-138.9) compared to healthy (NO(3)(-): 33.9 μmol/L; 95 % CI, 29.9-37.9; NO(2)(-): 159.5 nmol/L; 95 % CI, 131.8-187.1; P < 0.01) and trained individuals (NO(3)(-): 43.0 μmol/L; 95 % CI, 13.2-72.9; NO(2)(-): 199.3 nmol/L; 95 % CI, 117.6-281; P < 0.01). Mean salivary NO(3)(-) and NO(2)(-) concentrations were 546.2 μmol/L and 197.8 μmol/L, respectively. Salivary NO(3)(-), but no NO(2)(-), concentrations were higher in individuals with cardiometabolic risk (680.0 μmol/L; 95 % CI, 510.2-849.8; P = 0.001) compared to healthy individuals (535.9 μmol/L; 95 % CI, 384.2-687.6). A significant positive association (coefficient, 15.4 [95 % CI, 0.255 to 30.5], P = 0.046) was observed between salivary NO(3)(-) and diastolic blood pressure (DBP). These findings suggest that the health status is positively associated with plasma NO(3)(-) and NO(2)(-) concentrations, but the circulatory levels of these anions are not associated with blood pressure. Only salivary NO(3)(-) showed a significant positive association with DBP.},
address = {United States},
author = {Bescos, Raul and Gallardo-Alfaro, Laura and Ashor, Ammar and Rizzolo-Brime, Lucia and Siervo, Mario and Casas-Agustench, Patricia},
journal = {Free radical biology & medicine},
keywords = {grapp-caib},
month = {jan},
pages = {70--83},
title = {Nitrate and nitrite bioavailability in plasma and saliva: Their association with blood pressure - A systematic review and meta-analysis},
volume = 226,
year = 2025
}%0 Journal Article
%1 bescos2025nitrate
%A Bescos, Raul
%A Gallardo-Alfaro, Laura
%A Ashor, Ammar
%A Rizzolo-Brime, Lucia
%A Siervo, Mario
%A Casas-Agustench, Patricia
%C United States
%D 2025
%J Free radical biology & medicine
%P 70--83
%R 10.1016/j.freeradbiomed.2024.11.010
%T Nitrate and nitrite bioavailability in plasma and saliva: Their association with blood pressure - A systematic review and meta-analysis
%U https://pubmed.ncbi.nlm.nih.gov/39522567
%V 226
%X In this study, we conducted a systematic review and meta-analysis to determine plasma and salivary nitrate (NO(3)(-)) and nitrite (NO(2)(-)) concentrations under resting and fasting conditions in different type of individuals and their association with blood pressure levels. A total of 77 studies, involving 1918 individuals aged 19-74 years (males = 906; females = 1012), which measured plasma and/or salivary NO(3)(-) and NO(2)(-) using the chemiluminescence technique, were included. Mean plasma NO(3)(-) and NO(2)(-) concentrations were 33.9 μmol/L and 158.3 nmol/L, respectively. Subgroup analyses revealed lower plasma NO(3)(-) and NO(2)(-) concentrations in individuals with cardiometabolic risk (NO(3)(-): 21.2 μmol/L; 95 % CI, 13.4-29.0; NO(2)(-): 122.8 nmol/L; 95 % CI, 75.3-138.9) compared to healthy (NO(3)(-): 33.9 μmol/L; 95 % CI, 29.9-37.9; NO(2)(-): 159.5 nmol/L; 95 % CI, 131.8-187.1; P < 0.01) and trained individuals (NO(3)(-): 43.0 μmol/L; 95 % CI, 13.2-72.9; NO(2)(-): 199.3 nmol/L; 95 % CI, 117.6-281; P < 0.01). Mean salivary NO(3)(-) and NO(2)(-) concentrations were 546.2 μmol/L and 197.8 μmol/L, respectively. Salivary NO(3)(-), but no NO(2)(-), concentrations were higher in individuals with cardiometabolic risk (680.0 μmol/L; 95 % CI, 510.2-849.8; P = 0.001) compared to healthy individuals (535.9 μmol/L; 95 % CI, 384.2-687.6). A significant positive association (coefficient, 15.4 [95 % CI, 0.255 to 30.5], P = 0.046) was observed between salivary NO(3)(-) and diastolic blood pressure (DBP). These findings suggest that the health status is positively associated with plasma NO(3)(-) and NO(2)(-) concentrations, but the circulatory levels of these anions are not associated with blood pressure. Only salivary NO(3)(-) showed a significant positive association with DBP.
AbstractURLBibTeXEndNoteDOIBibSonomy1.García Samuelsson M, Tárraga López PJ, López-González Ángel A, Paublini H, Martínez-Almoyna Rifá E, Ramírez-Manent JI. Assessment of the Risk of Insulin Resistance in Workers Classified as Metabolically Healthy Obese. Nutrients [Internet]. Switzerland; 2025 Apr.;17(8):1345-. https://pubmed.ncbi.nlm.nih.gov/40284209Introduction and Objectives: Obesity constitutes a significant public health concern and is frequently linked to metabolic dysfunctions, particularly insulin resistance (IR). Nevertheless, a subset of obese individuals, referred to as metabolically healthy obese (MHO), do not exhibit overt metabolic abnormalities. The present study aims to assess the risk of developing IR among MHO workers and to explore the determinants contributing to this risk. Methods: This cross-sectional investigation utilized data from a cohort of 68,884 obese workers across multiple occupational sectors in Spain. The classification of participants as MHO was based on the number of metabolic syndrome components, in accordance with the criteria established by the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII). Anthropometric, clinical, and biochemical parameters-including body mass index (BMI), waist circumference, lipid profile, glycemic levels, and blood pressure-were systematically assessed. The likelihood of developing IR was estimated through various validated risk assessment models. Results: The analysis indicates that, despite having a relatively favorable metabolic profile, individuals classified as MHO also show signs of metabolic deterioration, such as an increased risk of insulin resistance. Key risk factors such as physical inactivity, low adherence to the Mediterranean diet, and socioeconomic disparities were identified as significant contributors to the transition from the MHO phenotype to a metabolically unhealthy state. Logistic regression analyses corroborated that insufficient physical activity and suboptimal dietary habits were strongly associated with an elevated risk of IR. Conclusions: The findings underscore the dynamic and potentially transient nature of the MHO phenotype, emphasizing the necessity of proactive monitoring and early preventive strategies. Encouraging physical activity, promoting adherence to a nutritionally balanced diet, and implementing workplace health initiatives emerge as critical measures to attenuate the risk of IR and metabolic deterioration in MHO individuals. Future longitudinal studies are warranted to enhance risk stratification and to formulate tailored preventive interventions.@article{garciasamuelsson2025assessment,
abstract = {Introduction and Objectives: Obesity constitutes a significant public health concern and is frequently linked to metabolic dysfunctions, particularly insulin resistance (IR). Nevertheless, a subset of obese individuals, referred to as metabolically healthy obese (MHO), do not exhibit overt metabolic abnormalities. The present study aims to assess the risk of developing IR among MHO workers and to explore the determinants contributing to this risk. Methods: This cross-sectional investigation utilized data from a cohort of 68,884 obese workers across multiple occupational sectors in Spain. The classification of participants as MHO was based on the number of metabolic syndrome components, in accordance with the criteria established by the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII). Anthropometric, clinical, and biochemical parameters-including body mass index (BMI), waist circumference, lipid profile, glycemic levels, and blood pressure-were systematically assessed. The likelihood of developing IR was estimated through various validated risk assessment models. Results: The analysis indicates that, despite having a relatively favorable metabolic profile, individuals classified as MHO also show signs of metabolic deterioration, such as an increased risk of insulin resistance. Key risk factors such as physical inactivity, low adherence to the Mediterranean diet, and socioeconomic disparities were identified as significant contributors to the transition from the MHO phenotype to a metabolically unhealthy state. Logistic regression analyses corroborated that insufficient physical activity and suboptimal dietary habits were strongly associated with an elevated risk of IR. Conclusions: The findings underscore the dynamic and potentially transient nature of the MHO phenotype, emphasizing the necessity of proactive monitoring and early preventive strategies. Encouraging physical activity, promoting adherence to a nutritionally balanced diet, and implementing workplace health initiatives emerge as critical measures to attenuate the risk of IR and metabolic deterioration in MHO individuals. Future longitudinal studies are warranted to enhance risk stratification and to formulate tailored preventive interventions.},
address = {Switzerland},
author = {García Samuelsson, Miguel and Tárraga López, Pedro Juan and López-González, Ángel Arturo and Paublini, Hernán and Martínez-Almoyna Rifá, Emilio and Ramírez-Manent, José Ignacio},
journal = {Nutrients},
keywords = {grapp-caib},
month = {apr},
number = 8,
pages = {1345--},
title = {Assessment of the Risk of Insulin Resistance in Workers Classified as Metabolically Healthy Obese},
volume = 17,
year = 2025
}%0 Journal Article
%1 garciasamuelsson2025assessment
%A García Samuelsson, Miguel
%A Tárraga López, Pedro Juan
%A López-González, Ángel Arturo
%A Paublini, Hernán
%A Martínez-Almoyna Rifá, Emilio
%A Ramírez-Manent, José Ignacio
%C Switzerland
%D 2025
%J Nutrients
%N 8
%P 1345--
%R 10.3390/nu17081345
%T Assessment of the Risk of Insulin Resistance in Workers Classified as Metabolically Healthy Obese
%U https://pubmed.ncbi.nlm.nih.gov/40284209
%V 17
%X Introduction and Objectives: Obesity constitutes a significant public health concern and is frequently linked to metabolic dysfunctions, particularly insulin resistance (IR). Nevertheless, a subset of obese individuals, referred to as metabolically healthy obese (MHO), do not exhibit overt metabolic abnormalities. The present study aims to assess the risk of developing IR among MHO workers and to explore the determinants contributing to this risk. Methods: This cross-sectional investigation utilized data from a cohort of 68,884 obese workers across multiple occupational sectors in Spain. The classification of participants as MHO was based on the number of metabolic syndrome components, in accordance with the criteria established by the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII). Anthropometric, clinical, and biochemical parameters-including body mass index (BMI), waist circumference, lipid profile, glycemic levels, and blood pressure-were systematically assessed. The likelihood of developing IR was estimated through various validated risk assessment models. Results: The analysis indicates that, despite having a relatively favorable metabolic profile, individuals classified as MHO also show signs of metabolic deterioration, such as an increased risk of insulin resistance. Key risk factors such as physical inactivity, low adherence to the Mediterranean diet, and socioeconomic disparities were identified as significant contributors to the transition from the MHO phenotype to a metabolically unhealthy state. Logistic regression analyses corroborated that insufficient physical activity and suboptimal dietary habits were strongly associated with an elevated risk of IR. Conclusions: The findings underscore the dynamic and potentially transient nature of the MHO phenotype, emphasizing the necessity of proactive monitoring and early preventive strategies. Encouraging physical activity, promoting adherence to a nutritionally balanced diet, and implementing workplace health initiatives emerge as critical measures to attenuate the risk of IR and metabolic deterioration in MHO individuals. Future longitudinal studies are warranted to enhance risk stratification and to formulate tailored preventive interventions.
AbstractURLBibTeXEndNoteDOIBibSonomy1.Marina Arroyo M, Ramírez Gallegos I, Paublini H, López-González Ángel A, Tárraga López PJ, Martorell Sánchez C, Sastre-Alzamora T, Ramírez-Manent JI. Usefulness of the Córdoba Equation for Estimating Body Fat When Determining the Level of Risk of Developing Diabetes Type 2 or Prediabetes. Medicina (Kaunas, Lithuania) [Internet]. Switzerland; 2025 Mar.;61(4):613-. https://pubmed.ncbi.nlm.nih.gov/40282904Background and Objectives: Type 2 diabetes (T2D) and prediabetes represent major global health concerns, with obesity being a key risk factor. However, recent evidence suggests that the adipose tissue composition and distribution play a more critical role in metabolic dysfunction than the total body weight or body mass index (BMI). This study evaluates the predictive capacity of the Córdoba Equation for Estimating Body Fat (ECORE-BF) for identifying individuals at high risk of developing T2D and prediabetes. Materials and Methods: A cross-sectional study was carried out involving 418,343 Spanish workers. Body fat percentage was estimated using the ECORE-BF equation, and diabetes risk was assessed using validated predictive models, including the Finnish Diabetes Risk Score (FINDRISC), QDiabetes score (QD-score), and others. The discriminatory power of ECORE-BF in predicting T2D and prediabetes was assessed using receiver operating characteristic (ROC) curve analysis. Results: ECORE-BF showed a strong correlation with high-risk classifications across all diabetes risk scales. The area under the ROC curve (AUC) exceeded 0.95 for both men and women, demonstrating high predictive accuracy. Conclusions: Adipose tissue distribution, particularly visceral adiposity, is a central factor in metabolic dysfunction. ECORE-BF provides a cost-effective alternative for large-scale T2D and prediabetes risk assessment. Future research should explore the impact of visceral adipose tissue reduction on diabetes prevention and the integration of estimation scales into clinical and public health strategies.@article{marinaarroyo2025usefulness,
abstract = {Background and Objectives: Type 2 diabetes (T2D) and prediabetes represent major global health concerns, with obesity being a key risk factor. However, recent evidence suggests that the adipose tissue composition and distribution play a more critical role in metabolic dysfunction than the total body weight or body mass index (BMI). This study evaluates the predictive capacity of the Córdoba Equation for Estimating Body Fat (ECORE-BF) for identifying individuals at high risk of developing T2D and prediabetes. Materials and Methods: A cross-sectional study was carried out involving 418,343 Spanish workers. Body fat percentage was estimated using the ECORE-BF equation, and diabetes risk was assessed using validated predictive models, including the Finnish Diabetes Risk Score (FINDRISC), QDiabetes score (QD-score), and others. The discriminatory power of ECORE-BF in predicting T2D and prediabetes was assessed using receiver operating characteristic (ROC) curve analysis. Results: ECORE-BF showed a strong correlation with high-risk classifications across all diabetes risk scales. The area under the ROC curve (AUC) exceeded 0.95 for both men and women, demonstrating high predictive accuracy. Conclusions: Adipose tissue distribution, particularly visceral adiposity, is a central factor in metabolic dysfunction. ECORE-BF provides a cost-effective alternative for large-scale T2D and prediabetes risk assessment. Future research should explore the impact of visceral adipose tissue reduction on diabetes prevention and the integration of estimation scales into clinical and public health strategies.},
address = {Switzerland},
author = {Marina Arroyo, Marta and Ramírez Gallegos, Ignacio and Paublini, Hernán and López-González, Ángel Arturo and Tárraga López, Pedro J and Martorell Sánchez, Cristina and Sastre-Alzamora, Tomás and Ramírez-Manent, José Ignacio},
journal = {Medicina (Kaunas, Lithuania)},
keywords = {grapp-caib},
month = {mar},
number = 4,
pages = {613--},
title = {Usefulness of the Córdoba Equation for Estimating Body Fat When Determining the Level of Risk of Developing Diabetes Type 2 or Prediabetes},
volume = 61,
year = 2025
}%0 Journal Article
%1 marinaarroyo2025usefulness
%A Marina Arroyo, Marta
%A Ramírez Gallegos, Ignacio
%A Paublini, Hernán
%A López-González, Ángel Arturo
%A Tárraga López, Pedro J
%A Martorell Sánchez, Cristina
%A Sastre-Alzamora, Tomás
%A Ramírez-Manent, José Ignacio
%C Switzerland
%D 2025
%J Medicina (Kaunas, Lithuania)
%N 4
%P 613--
%R 10.3390/medicina61040613
%T Usefulness of the Córdoba Equation for Estimating Body Fat When Determining the Level of Risk of Developing Diabetes Type 2 or Prediabetes
%U https://pubmed.ncbi.nlm.nih.gov/40282904
%V 61
%X Background and Objectives: Type 2 diabetes (T2D) and prediabetes represent major global health concerns, with obesity being a key risk factor. However, recent evidence suggests that the adipose tissue composition and distribution play a more critical role in metabolic dysfunction than the total body weight or body mass index (BMI). This study evaluates the predictive capacity of the Córdoba Equation for Estimating Body Fat (ECORE-BF) for identifying individuals at high risk of developing T2D and prediabetes. Materials and Methods: A cross-sectional study was carried out involving 418,343 Spanish workers. Body fat percentage was estimated using the ECORE-BF equation, and diabetes risk was assessed using validated predictive models, including the Finnish Diabetes Risk Score (FINDRISC), QDiabetes score (QD-score), and others. The discriminatory power of ECORE-BF in predicting T2D and prediabetes was assessed using receiver operating characteristic (ROC) curve analysis. Results: ECORE-BF showed a strong correlation with high-risk classifications across all diabetes risk scales. The area under the ROC curve (AUC) exceeded 0.95 for both men and women, demonstrating high predictive accuracy. Conclusions: Adipose tissue distribution, particularly visceral adiposity, is a central factor in metabolic dysfunction. ECORE-BF provides a cost-effective alternative for large-scale T2D and prediabetes risk assessment. Future research should explore the impact of visceral adipose tissue reduction on diabetes prevention and the integration of estimation scales into clinical and public health strategies.
AbstractURLBibTeXEndNoteDOIBibSonomy1.Obrador de Hevia J, López-González Ángel A, Ramírez-Manent JI, Paublini H, Tárraga López PJ, Martorell Sánchez C, Riutord-Sbert P. Association Between Alcohol Consumption, Other Healthy Habits and Sociodemographic Variables and the Values of Different Insulin Resistance Risk Scales in 139,634 Spanish Workers. Healthcare (Basel, Switzerland) [Internet]. Switzerland; 2025 Apr.;13(8):921-. https://pubmed.ncbi.nlm.nih.gov/40281870Background: Alcohol consumption is a major public health concern, influencing metabolic health and insulin resistance (IR). While moderate alcohol intake has been associated with potential metabolic benefits, excessive consumption is linked to IR and related disorders. This study examines the association between sociodemographic variables, health habits, and IR risk using validated metabolic indices. Methods: A dual-phase study was conducted, including a cross-sectional analysis of 139,634 Spanish workers and a retrospective longitudinal follow-up of 40,431 participants (2009-2019). Data on sociodemographic factors (age, sex and socioeconomic status) and health habits (smoking, alcohol consumption, diet and physical activity) were collected through standardized occupational health assessments. IR risk was assessed using the Triglyceride-Glucose Index (TyG), Metabolic Score for Insulin Resistance (METS-IR), and Single-Point Insulin Sensitivity Estimator (SPISE-IR). Binary logistic regression was used for statistical analysis. Results: Age, male sex, lower socioeconomic status, smoking, alcohol consumption, physical inactivity and low adherence to the Mediterranean diet were significantly associated with higher IR risk across all indices (p < 0.001). Alcohol consumption exhibited a dose-dependent relationship with IR, with excessive intake significantly increasing the risk of IR. Longitudinal data revealed a worsening IR profile over time, particularly among older, low-income and physically inactive individuals. Conclusions: Sociodemographic factors and lifestyle habits strongly influence IR. Preventive strategies focused on reducing alcohol consumption, smoking cessation and promoting physical activity and dietary improvements are essential to mitigate the risk of IR, especially in vulnerable populations. Further longitudinal studies are needed to establish causal relationships and refine intervention strategies.@article{obradordehevia2025association,
abstract = {Background: Alcohol consumption is a major public health concern, influencing metabolic health and insulin resistance (IR). While moderate alcohol intake has been associated with potential metabolic benefits, excessive consumption is linked to IR and related disorders. This study examines the association between sociodemographic variables, health habits, and IR risk using validated metabolic indices. Methods: A dual-phase study was conducted, including a cross-sectional analysis of 139,634 Spanish workers and a retrospective longitudinal follow-up of 40,431 participants (2009-2019). Data on sociodemographic factors (age, sex and socioeconomic status) and health habits (smoking, alcohol consumption, diet and physical activity) were collected through standardized occupational health assessments. IR risk was assessed using the Triglyceride-Glucose Index (TyG), Metabolic Score for Insulin Resistance (METS-IR), and Single-Point Insulin Sensitivity Estimator (SPISE-IR). Binary logistic regression was used for statistical analysis. Results: Age, male sex, lower socioeconomic status, smoking, alcohol consumption, physical inactivity and low adherence to the Mediterranean diet were significantly associated with higher IR risk across all indices (p < 0.001). Alcohol consumption exhibited a dose-dependent relationship with IR, with excessive intake significantly increasing the risk of IR. Longitudinal data revealed a worsening IR profile over time, particularly among older, low-income and physically inactive individuals. Conclusions: Sociodemographic factors and lifestyle habits strongly influence IR. Preventive strategies focused on reducing alcohol consumption, smoking cessation and promoting physical activity and dietary improvements are essential to mitigate the risk of IR, especially in vulnerable populations. Further longitudinal studies are needed to establish causal relationships and refine intervention strategies.},
address = {Switzerland},
author = {Obrador de Hevia, Joan and López-González, Ángel Arturo and Ramírez-Manent, José Ignacio and Paublini, Hernán and Tárraga López, Pedro Juan and Martorell Sánchez, Cristina and Riutord-Sbert, Pere},
journal = {Healthcare (Basel, Switzerland)},
keywords = {grapp-caib},
month = {apr},
number = 8,
pages = {921--},
title = {Association Between Alcohol Consumption, Other Healthy Habits and Sociodemographic Variables and the Values of Different Insulin Resistance Risk Scales in 139,634 Spanish Workers},
volume = 13,
year = 2025
}%0 Journal Article
%1 obradordehevia2025association
%A Obrador de Hevia, Joan
%A López-González, Ángel Arturo
%A Ramírez-Manent, José Ignacio
%A Paublini, Hernán
%A Tárraga López, Pedro Juan
%A Martorell Sánchez, Cristina
%A Riutord-Sbert, Pere
%C Switzerland
%D 2025
%J Healthcare (Basel, Switzerland)
%N 8
%P 921--
%R 10.3390/healthcare13080921
%T Association Between Alcohol Consumption, Other Healthy Habits and Sociodemographic Variables and the Values of Different Insulin Resistance Risk Scales in 139,634 Spanish Workers
%U https://pubmed.ncbi.nlm.nih.gov/40281870
%V 13
%X Background: Alcohol consumption is a major public health concern, influencing metabolic health and insulin resistance (IR). While moderate alcohol intake has been associated with potential metabolic benefits, excessive consumption is linked to IR and related disorders. This study examines the association between sociodemographic variables, health habits, and IR risk using validated metabolic indices. Methods: A dual-phase study was conducted, including a cross-sectional analysis of 139,634 Spanish workers and a retrospective longitudinal follow-up of 40,431 participants (2009-2019). Data on sociodemographic factors (age, sex and socioeconomic status) and health habits (smoking, alcohol consumption, diet and physical activity) were collected through standardized occupational health assessments. IR risk was assessed using the Triglyceride-Glucose Index (TyG), Metabolic Score for Insulin Resistance (METS-IR), and Single-Point Insulin Sensitivity Estimator (SPISE-IR). Binary logistic regression was used for statistical analysis. Results: Age, male sex, lower socioeconomic status, smoking, alcohol consumption, physical inactivity and low adherence to the Mediterranean diet were significantly associated with higher IR risk across all indices (p < 0.001). Alcohol consumption exhibited a dose-dependent relationship with IR, with excessive intake significantly increasing the risk of IR. Longitudinal data revealed a worsening IR profile over time, particularly among older, low-income and physically inactive individuals. Conclusions: Sociodemographic factors and lifestyle habits strongly influence IR. Preventive strategies focused on reducing alcohol consumption, smoking cessation and promoting physical activity and dietary improvements are essential to mitigate the risk of IR, especially in vulnerable populations. Further longitudinal studies are needed to establish causal relationships and refine intervention strategies.
