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Association Between Living in Urban Areas and Obesity in Haitian Breast Cancer Patients
Abstract only Background: Obesity and metabolic syndrome (MS) have been linked to increased risk of breast cancer recurrence and mortality in prospective cohorts. These studies have mostly occurred in high-income countries. Little is known about rates of obesity and what factors predict obesity in b...
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Published in: | Journal of global oncology 2018-10, Vol.4 (Supplement 2), p.79-79s |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Online Access: | Get full text |
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Summary: | Abstract only Background: Obesity and metabolic syndrome (MS) have been linked to increased risk of breast cancer recurrence and mortality in prospective cohorts. These studies have mostly occurred in high-income countries. Little is known about rates of obesity and what factors predict obesity in breast cancer patients from low- and low-middle income countries (LMIC). However, there are increasing rates of obesity in the general population of LMICs. Hôpital Universitaire de Mirebalais (HUM) in Haiti established the main public comprehensive cancer center in the country in 2013. The facility serves patients from all around the country. Aim: To establish the prevalence of obesity in a retrospective cohort of breast cancer patients at HUM, and evaluate the association between living in urban areas and obesity in this population. Methods: We evaluated 1035 women who had their first visit between July 1, 2013 and December 31, 2016, with a coded diagnosis of breast cancer, and who had been followed in the HUM program for ≥ 90 days. We abstracted their first recorded height, weight and blood pressure (BP). We identified individuals who met criteria for obesity (body mass index [BMI] ≥ 30 kg/m2), systolic hypertension (systolic BP [SBP] ≥ 135 mmHg), and diastolic hypertension (diastolic BP [DBP] ≥ 90 mmHg). After exclusion of missing data in the variables of interest, the final analysis cohort was 678. We classified home commune location as rural or urban based on World Bank and UN standards. We used logistic regression analysis to determine the odds of being obese for individuals living in urban areas compared with rural dwellers. Results: 179 breast cancer patients (26.4%) had BMI ≥ 30, of which 58 (8.5%) were morbidly obese (BMI ≥ 35). 309 (45.6%) patients had systolic hypertension (HTN) and 180 (26.6%) had diastolic HTN. 417 (61.5%) lived in urban areas; 125 (30%) of urban dwellers were obese while only 20.7% of rural dwellers were obese. The crude OR for obesity in urban versus rural areas was 1.64 (95% CI: 1.16-2.36). Using logistic regression analysis and controlling for age the OR for obesity in urban areas was 1.67 (95% CI: 1.15-2.40), P = 0.0162. We did a similar analysis for morbid obesity, while controlling for age, the OR in urban compared with rural patients was 2.16 (95% CI: 1.15-4.03), P = 0.0162. There were no statistically significant differences in SBP and DBP comparing rural and urban patients. Conclusion: HUM breast cancer patients from urban |
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ISSN: | 2378-9506 2378-9506 |
DOI: | 10.1200/jgo.18.25600 |