J Carretero Gómez1, J C Arévalo Lorido2, R Gómez Huelgas3, M T Sánchez Vidal4, M Suárez Tembra5, J M Varela Aguilar6, I Munielo Voces7, E Fernández Pérez7, J M Fernández Rodríguez8, J Ena Muñoz9. 1. Servicio de Medicina Interna, Hospital Comarcal de Zafra, Zafra, Badajoz, España. Electronic address: juanicarretero@gmail.com. 2. Servicio de Medicina Interna, Hospital Comarcal de Zafra, Zafra, Badajoz, España. 3. Servicio de Medicina Interna, Complejo Hospitalario Universitario de Málaga, Málaga, España. 4. Servicio de Medicina Interna, Fundación Hospital de Jové, Gijón, Asturias, España. 5. Servicio de Medicina Interna, Hospital San Rafael, A Coruña, España. 6. Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERSAM), Hospital Virgen del Rocío, Sevilla, España. 7. Servicio de Medicina Interna, Complejo Asistencial Universitario de León, León, España. 8. Servicio de Medicina Interna, Hospital Carmen y Severo Ochoa, Cangas del Narcea, Asturias, España. 9. Servicio de Medicina Interna, Hospital Marina Baixa, La Vila Joiosa, Alicante, España.
Abstract
OBJECTIVES: To estimate the prevalence of obesity in patients treated by departments of Internal Medicine and to classify the patients according to the Edmonton Obesity Staging System (EOSS). MATERIAL AND METHODS: An observational, descriptive cross-sectional study included outpatients older than 18 years, with a body mass index (BMI)>30, from 38 hospitals between the 1st and 14th of February, 2016. We classified the patients according to the EOSS and analysed their clinical, laboratory and demographic variables. A value of P<.05 was considered statistically significant. RESULTS: Of the 1,262 patients treated in consultations, we recruited 298 and analysed 265. The prevalence of obesity was 23.6%, the mean age was 62.47±15.27 years, and the mean BMI was 36.1±5.3kg/m2. According to EOSS stage (0, 1, 2, 3 and 4), the prevalence was 4.9, 14.7, 62.3, 15.5 and 2.64%, respectively. Those patients with EOSS>2 were significantly older and had significantly more comorbidities. The multivariate analysis related age (OR 1.06; P<.0003), blood glucose (OR 1.04; P<.0006), total cholesterol (OR 0.98; P<.02) and uric acid (OR 1.32; P<.02) levels with an EOSS>2. An analysis of correspondence grouped, with an explanatory percentage of 78.2%, the patients according to their EOSS, comorbidity, education level, employment status and functional capacity. CONCLUSIONS: The prevalence of obesity in the patients treated by Internal Medicine departments is similar to that of the general population, although the patients are older and have a higher BMI. EOSS is useful for implementing a comprehensive approach for patients with obesity, regardless of the BMI, which can help achieve better health and quality-of-life results.
OBJECTIVES: To estimate the prevalence of obesity in patients treated by departments of Internal Medicine and to classify the patients according to the Edmonton Obesity Staging System (EOSS). MATERIAL AND METHODS: An observational, descriptive cross-sectional study included outpatients older than 18 years, with a body mass index (BMI)>30, from 38 hospitals between the 1st and 14th of February, 2016. We classified the patients according to the EOSS and analysed their clinical, laboratory and demographic variables. A value of P<.05 was considered statistically significant. RESULTS: Of the 1,262 patients treated in consultations, we recruited 298 and analysed 265. The prevalence of obesity was 23.6%, the mean age was 62.47±15.27 years, and the mean BMI was 36.1±5.3kg/m2. According to EOSS stage (0, 1, 2, 3 and 4), the prevalence was 4.9, 14.7, 62.3, 15.5 and 2.64%, respectively. Those patients with EOSS>2 were significantly older and had significantly more comorbidities. The multivariate analysis related age (OR 1.06; P<.0003), blood glucose (OR 1.04; P<.0006), total cholesterol (OR 0.98; P<.02) and uric acid (OR 1.32; P<.02) levels with an EOSS>2. An analysis of correspondence grouped, with an explanatory percentage of 78.2%, the patients according to their EOSS, comorbidity, education level, employment status and functional capacity. CONCLUSIONS: The prevalence of obesity in the patients treated by Internal Medicine departments is similar to that of the general population, although the patients are older and have a higher BMI. EOSS is useful for implementing a comprehensive approach for patients with obesity, regardless of the BMI, which can help achieve better health and quality-of-life results.
Authors: Raymond Kodsi; Ritesh Chimoriya; David Medveczky; Kathy Grudzinskas; Evan Atlantis; Abd A Tahrani; Nic Kormas; Milan K Piya Journal: Nutrients Date: 2022-02-24 Impact factor: 5.717
Authors: Juana Carretero-Gómez; Pablo Pérez-Martínez; José Miguel Seguí-Ripoll; Francisco Javier Carrasco-Sánchez; Nagore Lois Martínez; Esther Fernández Pérez; Onán Pérez Hernández; Miguel Ángel García Ordoñez; Candelaria Martín González; Juan Francisco Vigueras-Pérez; Francesc Puchades; María Cristina Blasco Avaria; María Isabel Pérez Soto; Javier Ena; José Carlos Arévalo-Lorido Journal: J Clin Med Date: 2022-08-09 Impact factor: 4.964