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Original Articles

Early-Life Conditions, Rapid Demographic Changes, and Older Adult Health in the Developing World

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Figures & data

Table 1 General framework for the nature of mortality decline across countries in the early to mid-twentieth century and expected health patterns in older adults

Table 2 Sample characteristics for cross-national data on aging populations born during the late 1920s–early 1940s in selected countries

Table 3 Models predicting obesity

Figure 1. Predicted probabilities for obesity by country.

Source: Predicted probabilities using Model 2, ; holding model variables at means. Vertical lines show 95% confidence intervals.Notes: There are noted differences in gender (female, male) for India (0.04, 0.02), Ghana (0.09, 0.05), China (0.06, 0.03), South Africa (0.44, 0.29), and Mexico (0.33, 0.20). Similar results obtained for all seven countries (results not shown).
Figure 1. Predicted probabilities for obesity by country.

Figure 2. Predicted probabilities of being obese by country, height, and urban residence.

Source: Predicted probabilities using Model 2, ; holding model variables at means; vertical lines show 95% confidence intervals.Notes: Similar results obtained for all seven countries (results not shown). For each country, left bar = Q1, right bar = Q2–Q4.
Figure 2. Predicted probabilities of being obese by country, height, and urban residence.

Figure 3. Predicted probabilities for obesity by country and height.

Source: Predicted probabilities using Model 2, , using continuous height (cm). Vertical lines show 95% confidence intervals.Notes: Predicted probabilities showing gender by country produced no notable differences.
Figure 3. Predicted probabilities for obesity by country and height.

Table 4 Models predicting diabetes and hypertension

Table A1 Models using all seven countries predicting health outcomes

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