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Energy Imbalance Gap, Anthropometric Measures, Lifestyle, and Sociodemographic Correlates in Latin American Adults—Results from the ELANS Study

Author

Listed:
  • Martha Cecilia Yépez García

    (Colegio de Ciencias de la Salud, Universidad San Francisco de Quito, Quito 17-1200-841, Ecuador)

  • Marianella Herrera-Cuenca

    (Centro de Estudios del Desarrollo, Universidad Central de Venezuela (CENDES-UCV), Caracas 1053, Venezuela
    Fundación Bengoa, Caracas 1053, Venezuela)

  • Gerson Ferrari

    (Escuela de Ciencias de la Actividad Física, el Deporte y la Salud, Universidad de Santiago de Chile (USACH), Santiago 7500618, Chile)

  • Lilia Yadira Cortés Sanabria

    (Departamento de Nutrición y Bioquímica, Pontificia Universidad Javeriana, Bogotá 110231, Colombia)

  • Pablo Hernández

    (Escuela de Nutrición y Dietética, Facultad de Medicina, Universidad Central de Venezuela, Caracas 1053, Venezuela)

  • Rafaela Yépez Almeida

    (Colegio de Ciencias de la Salud, Universidad San Francisco de Quito, Quito 17-1200-841, Ecuador)

  • Mónica Villar Cáceres

    (Colegio de Ciencias de la Salud, Universidad San Francisco de Quito, Quito 17-1200-841, Ecuador)

  • Georgina Gómez

    (Departamento de Bioquímica, Escuela de Medicina, Universidad de Costa Rica, San José 11501-2060, Costa Rica)

  • Rossina Pareja

    (Instituto de Investigación Nutricional, La Molina, Lima 15026, Peru)

  • Attilio Rigotti

    (Centro de Nutrición Molecular y Enfermedades Crónicas, Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Pontificia Universidad Católica, Santiago 8330024, Chile)

  • Irina Kovalskys

    (Carrera de Nutrición, Facultad de Ciencias Médicas, Pontificia Universidad Católica Argentina, Buenos Aires C1107 AAZ, Argentina)

  • Mauro Fisberg

    (Centro de Excelencia em Nutrição e Dificuldades Alimentaes (CENDA), Instituto Pensi, Fundação José Luiz Egydio Setubal, Hospital Infantil Sabará, São Paulo 01228-200, Brazil
    Departamento de Pediatria, Universidade Federal de São Paulo, São Paulo 04023-061, Brazil
    ELANS Study Group are listed in Acknowledgments.)

Abstract

Overweight and obesity are often explained by an imbalance between energy intake and expenditure. This, in addition to metabolic effects, makes it difficult to assess the real state of individual energy balance. This study aims to analyze the energy gaps between intake and expenditure in the adult population of Latin America, as well as its relationships with sociodemographic variables and nutrition status, to draw an epidemiological perspective based on the trends observed. The energy imbalance gap was used to this end. The difference between energy intake and expenditure can be applied as a reference to explain whether weight equilibrium can prevent weight gain. Moreover, the energy imbalance gap allows for a better understanding of the design of public health policies. Using data from the Latin American Study of Nutrition and Health, the energy imbalance gap in adult population from eight Latin-American countries was assessed in 5994 subjects aged from 19–65. Usual dietary intake was measured using two non-consecutive 24 h dietary recalls. The sociodemographic questionnaire was supplemented by anthropometric measurements. Physical activity was measured through the long International Physical Activity Questionnaire. Energy expenditure was obtained using the basal metabolic rate. For the overall sample, the mean energy intake was 1939.1 kcal (95% CI: 1926.9; 1951.3), the mean of energy expenditure was 1915.7 kcal (95% CI: 1906.4; 1924.9), and the mean of energy imbalance gap was 23.4 kcal (95% CI: 11.9; 35.0). Results show that energy intake and expenditure were higher in men. Moreover, subjects aged 19–34, of high socioeconomic level, who completed high school, were mestizos and were of normal weight consumed the highest number of calories. Overall, a positive energy imbalance gap was observed. Overweight and obese from Argentina, Costa Rica, Ecuador, Peru, and Venezuela showed a significantly lower energy imbalance gap than underweight subjects. These findings confirm the high variability of energy imbalance gap and the accompanying correlates of energy intake and expenditure. Further research is needed to specifically address interventions in low and middle-income countries such as many in Latin America, to help reduce the prevalence of obesity and eradicate undernutrition.

Suggested Citation

  • Martha Cecilia Yépez García & Marianella Herrera-Cuenca & Gerson Ferrari & Lilia Yadira Cortés Sanabria & Pablo Hernández & Rafaela Yépez Almeida & Mónica Villar Cáceres & Georgina Gómez & Rossina Par, 2022. "Energy Imbalance Gap, Anthropometric Measures, Lifestyle, and Sociodemographic Correlates in Latin American Adults—Results from the ELANS Study," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1129-:d:729088
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    References listed on IDEAS

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    1. Diego Herreros-Irarrázabal & Juan Guzmán-Habinger & Sandra Mahecha Matsudo & Irina Kovalskys & Georgina Gómez & Attilio Rigotti & Lilia Yadira Cortés & Martha Cecilia Yépez García & Rossina G. Pareja , 2021. "Association between Active Transportation and Public Transport with an Objectively Measured Meeting of Moderate-to-Vigorous Physical Activity and Daily Steps Guidelines in Adults by Sex from Eight Lat," IJERPH, MDPI, vol. 18(21), pages 1-12, November.
    2. OECD & Inter-American Development Bank & World Bank Group, 2014. "Pensions at a Glance : Latin America and the Caribbean," World Bank Publications - Books, The World Bank Group, number 21426, December.
    3. Yue-Qiao Wang & Yun-Quan Zhang & Fei Zhang & Yi-Wen Zhang & Rui Li & Guo-Xun Chen, 2016. "Increased Eating Frequency Is Associated with Lower Obesity Risk, But Higher Energy Intake in Adults: A Meta-Analysis," IJERPH, MDPI, vol. 13(6), pages 1-16, June.
    4. Fallah-Fini, S. & Rahmandad, H. & Huang, T.T.-K. & Bures, R.M. & Glass, T.A., 2014. "Modeling US adult obesity trends: A system dynamics model for estimating energy imbalance gap," American Journal of Public Health, American Public Health Association, vol. 104(7), pages 1230-1239.
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