Burden of Disease Attributable to Obesity and Overweight in Colombia

Gil-Rojas, Yaneth; Ceballos-Garzón, Andrés; Hernández, Fabián; Pacheco, Bethia; González, Daniela; Campos, Juan; Mosos, Juan David; Barahona, J; Polanía, Maria José; Restrepo, Paula; Lasalvia, Pieralessandro; Castañeda‐Cardona, Camilo; Rosselli, Diego

doi:10.1016/j.vhri.2019.02.001

Cited by 14 publications

(10 citation statements)

References 24 publications

(13 reference statements)

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“…The results for the cardiovascular and endocrine conditions were also in line with other studies [ 46 , 47 , 71 , 74 ], which showed a significant share of overweight/obesity attributed cost. The costs for other diseases were also related to estimates from other countries [ 25 , 71 , 74 ]. Using average cost estimates from Australia as a baseline [ 75 ], the World Obesity Federation projected South Africa’s cost of overweight and obesity to be US$ Purchasing Power Parity (PPP) 6,530 million in 2020 (ZAR42,000 million using PPP conversion factor 6.24) [ 27 ] similar to our upper estimate.…”

Section: Discussionsupporting

confidence: 91%

“…This analysis produced similar results to previous studies on overweight/obesity costs in high and middle-income countries, including Brazil [ 23 , 71 ], South Korea [ 72 ], Thailand [ 73 ] and Colombia [ 74 ]. The results for the cardiovascular and endocrine conditions were also in line with other studies [ 46 , 47 , 71 , 74 ], which showed a significant share of overweight/obesity attributed cost. The costs for other diseases were also related to estimates from other countries [ 25 , 71 , 74 ].…”

Section: Discussionsupporting

confidence: 87%

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Estimating the healthcare cost of overweight and obesity in South Africa

Boachie

Thsehla

Immurana

et al. 2022

Global Health Action

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Background Overweight and obesity are major risk factors for noncommunicable diseases. This presents a major burden to health systems and to society in South Africa. Collectively, these conditions are overwhelming public healthcare. This is happening when the country has embarked on a journey to universal health coverage, hence the need to estimate the cost of overweight and obesity. Objective Our objective was to estimate the healthcare cost associated with treatment of weight-related conditions from the perspective of the South African public sector payer. Methods Using a bottom-up gross costing approach, this study draws data from multiple sources to estimate the direct healthcare cost of overweight and obesity in South Africa. Population Attributable Fractions (PAF) were calculated and multiplied by each disease’s total treatment cost to apportion costs to overweight and obesity. Annual costs were estimated for 2020. Results The total cost of overweight and obesity is estimated to be ZAR33,194 million in 2020. This represents 15.38% of government health expenditure and is equivalent to 0.67% of GDP. Annual per person cost of overweight and obesity is ZAR2,769. The overweight and obesity cost is disaggregated as follows: cancers (ZAR352 million), cardiovascular diseases (ZAR8,874 million), diabetes (ZAR19,861 million), musculoskeletal disorders (ZAR3,353 million), respiratory diseases (ZAR360 million) and digestive diseases (ZAR395 million). Sensitivity analyses show that the total overweight and obesity cost is between ZAR30,369 million and ZAR36,207 million. Conclusion This analysis has demonstrated that overweight and obesity impose a huge financial burden on the public health care system in South Africa. It suggests an urgent need for preventive, population-level interventions to reduce overweight and obesity rates. The reduction will lower the incidence, prevalence, and healthcare spending on noncommunicable diseases.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 87%

Estimating the healthcare cost of overweight and obesity in South Africa

Boachie

Thsehla

Immurana

et al. 2022

Global Health Action

View full text Add to dashboard Cite

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“…Conversely, a high proportion of participants were unaware of weight gain (40%), and only 22.3% reported to have gained weight. In Colombia, the increasing prevalence of overweight and obesity is of great concern due to its association with non-communicable chronic diseases, which contribute significantly to the morbidity and mortality of the country's adult population (8,24,25). In fact, the prevalence of overweight and obesity in Colombian adults aged over 18 years is 34.6 and 16.5%, respectively, these rates being higher in women.…”

Section: Discussionmentioning

confidence: 99%

Exploring Dietary Behavior Changes Due to the COVID-19 Confinement in Colombia: A National and Regional Survey Study

et al. 2021

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The aim of this study was to evaluate the impact of coronavirus SARS-Cov2 (COVID-19) confinement measures in Colombia on the dietary behaviors of a large population sample, at national and regional levels. A survey was conducted to assess dietary behaviors during the COVID-19 confinement. The survey involved 2,745 participants, aged 18 years or older, from six regions of the country (Atlántica, Bogotá, Central, Oriental, Orinoquía and Amazonía, and Pacífica). Dietary intake of foods and foods groups in grams per day before and during the confinement was estimated by considering standard serving sizes of foods. One-way ANOVA was used to analyze differences between the regions with regard to dietary behavior changes during the confinement. Differences were deemed significant at p-value < 0.05. Dietary patterns (DPs) before and during the confinement were derived from principal component analysis. Certain dietary habits were adopted by the study population during the confinement (e.g., higher frequency of snacking and home cooking), with significant differences by regions with regard to these habits, as well as regarding culinary processes. The levels of consumption of several foods also changed during the confinement, nationally and regionally. We identified three DPs before the confinement (protein-rich, carbohydrate-rich, and sugar foods patterns) and four DPs during the confinement (westernized, carbohydrate-rich, protein-rich, fish and fruits-vegetable patterns), with an explained total variance of 33 and 45%, respectively. The profile of these DPs varied to some extent between the regions; their adherence to each DP also varied (p-value < 0.001). Our results show that there were marked differences by regions in the dietary behaviors of this population during the confinement, with an overall trend toward unhealthier DPs. These results may help to shape public health nutrition interventions in Colombia during the COVID-19 pandemic and in a post-COVID stage.

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“…These diseases also represent increased costs for the public health system (Bahia et al, 2012). In Colombia, chronic diseases such as hypertension, type 2 diabetes, cardiac ischemic disease, and lower back pain in descending order, are the highest contributors of disability-adjusted life-years (DALYs) (Gil-Rojas et al, 2019). Moreover, in this country, obesity-related diseases had an annual economic impact of 2.16 billion US dollars (Gil-Rojas et al, 2019).…”

Section: Double Burden Of Malnutrition Consequencesmentioning

confidence: 99%

Food insecurity and the double burden of malnutrition in Colombian rural households

Sansón-Rosas

Bernal

Kubow

et al. 2021

Public Health Nutr.

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Objective: This study aimed to examine in Colombian rural households the association between different severity levels of household food insecurity and the presence of the double burden of malnutrition (SCOWT), defined as the coexistence of a stunted child under five years and an overweight or obese (OWOB) mother. Design: A secondary data analysis was conducted using cross-sectional data from the Colombian National Nutritional Survey (ENSIN) 2015. Household food insecurity status was assessed by using the Latin-American and Caribbean Food Security Scale (ELCSA). The household SCOWT status (child stunting and OWOB mother) was determined using anthropometric data from a mother and her child. Setting: Rural Colombia Participants: 2.350 mother-child pairs living in the same household Results: Sixty-two percent of the households were food insecure and SCOWT was present in 7.8% of the households. Moderate (OR: 2.39 – CI: 1.36 - 4.21) and severe (OR: 1.86 – CI: 1.10 - 3.15) food insecurity was associated with SCOWT in an unadjusted logistic regression. Only moderate food insecurity remained significantly associated with SCOWT in a multivariate logistic regression (aOR: 2.41 - IC: 1.24 – 4.68). Conclusions: Colombian rural areas are not exempt from the worldwide concern of increasing OWOB rates while stunting is still persistent. These results highlight the need of implementing double duty rural actions targeting most vulnerable households to SCOWT, particularly in terms of overcoming food insecurity beyond hunger satisfaction to prevent all forms of malnutrition.

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Burden of Disease Attributable to Obesity and Overweight in Colombia

Cited by 14 publications

References 24 publications

Estimating the healthcare cost of overweight and obesity in South Africa

Estimating the healthcare cost of overweight and obesity in South Africa

Exploring Dietary Behavior Changes Due to the COVID-19 Confinement in Colombia: A National and Regional Survey Study

Food insecurity and the double burden of malnutrition in Colombian rural households

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