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. 2019 Nov 20;127(11):117005. doi: 10.1289/EHP5688

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EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.

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Figure 4 is a graphical representation plotting odds ratio (95 percent CI; y-axis) ranging from 0.9 to 1.5 in increments of 2 across stratified by sex and age group (x-axis) for the type of diabetes, namely, Type 1, Type 2, malnutrition-related and other specified; and unspecified. — The association between heat exposure (every 5°C increase in daily mean temperature during the hot season) and diabetes hospitalization [odds ratios with 95% confidence intervals (CIs)], stratified by diabetes subtype and by sex and age group. The odds ratios represent the cumulative association over lag 0–3 d. They came from time-stratified case-crossover analyses modeled by conditional logistic regression with a cross-basis function for daily mean temperature. The model adjusted for public holidays. Corresponding numeric data are provided in Table S4. Hot season was defined as the city-specific adjacent 4 hottest months and varied by city (e.g., December to March for São Paulo, August to November for Manaus).