Table 2. Age-standardised obesity prevalence among men by country and year.
| Sample size, N* | Wealth index | Education index | Area of residence | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q1 (95% Cl) | Q2 (95% Cl) | Q3 (95% Cl) | Q4 (95% Cl) | Q5 (95% Cl) | Gap,† percentage points | E1 (95% Cl) | E2 (95% Cl) | E3 (95% Cl) | E4 (95% Cl) | E5 (95% Cl) | Gap,† percentage points | Rural (95% Cl) | Urban (95% Cl) | Gap,† percentage points | ||
| Argentina | ||||||||||||||||
| 2005 | 16 918 | 15·0% | 16·5% | 15·3% | 17·7% | 14·5% | 3·2 | 19·8% | 17·2% | 17·8% | 15·2% | 12·3% | 7·5 | .. | 15·6% | .. |
| (12·5–17·5) | (13·9–19·0) | (13·3–17·3) | (15·2–20·2) | (12·7–16·4) | (16·8–22·7) | (15·0–19·5) | (15·4–20·3) | (13·1–17·5) | (10·6–13·9) | (14·4–16·7) | ||||||
| 2009 | 14 353 | 17·3% | 21·1% | 21·2% | 20·4% | 15·8% | 5·4 | 19·1% | 20·2% | 22·3% | 19·1% | 15·6% | 6·7 | .. | 19·3% | .. |
| (14·8–19·8) | (19·4–22·9) | (18·1–24·3) | (18·6–22·2) | (13·4–18·1) | (16·5–21·6) | (18·3–22·2) | (19·2–25·4) | (18·0–20·3) | (14·3–17·0) | (18·3–20·3) | ||||||
| 2013 | 13 626 | 21·7% | 25·0% | 22·4% | 23·9% | 22·6% | 3·3 | 24·4% | 25·6% | 25·1% | 23·9% | 18·4% | 7·2 | .. | 23·2% | .. |
| (19·6–23·8) | (21·9–28·0) | (20·1–24·7) | (20·7–27·1) | (20·0–25·1) | (20·3–28·6) | (23·8–27·4) | (22·0–28·2) | (21·7–26·2) | (15·9–20·9) | (21·7–24·7) | ||||||
| Brazil, 2013 | 25 920 | 10·2% | 12·3% | 16·9% | 21·1% | 21·7% | 11·5 | 14·5% | 14·0% | 17·0% | 18·9% | 22·0% | 8·0 | 11·9% | 17·5% | 5·6 |
| (8·8–11·6) | (11·0–13·6) | (15·3–18·5) | (19·0–23·1) | (19·8–23·5) | (12·5–16·4) | (12·8–15·2) | (15·1–18·8) | (17·4–20·5) | (20·1–24·0) | (10·5–13·4) | (16·5–18·4) | |||||
| Colombia, 2010 | 36 544 | 5·5% | 10·9% | 12·5% | 14·6% | 15·9% | 10·4 | 10·7% | 11·1% | 13·0% | 14·3% | 20·3% (NA) | 9·6 | 7·0% | 13·4% | 6·4 |
| (4·8–6·2) | (9·9–11·8) | (11·5–13·5) | (13·4–15·8) | (14·6–17·2) | (9·8–11·6) | (10·2–12·0) | (11·4–14·5) | (13·3–15·2) | (6·3–7·8) | (12·8–14·0) | ||||||
| Mexico | ||||||||||||||||
| 2006 | 14 394 | 19·7% | 21·4% | 29·2% | 28·0% | 25·6% | 9·5 | 18·2% | 23·8% | 26·4% | 25·7% | 25·6% | 8·2 | 17·1% | 25·4% | 8·4 |
| (18·1–21·4) | (18·9–23·2) | (26·8–31·6) | (25·2–30·9) | (22·0–29·3) | (15·1–21·3) | (21·8–25·7) | (24·1–28·7) | (22·7–28·6) | (22·7–28·4) | (15·0–19·1) | (24·1–26·8) | |||||
| 2012 | 17 514 | 17·4% | 24·6% | 26·5% | 28·8% | 30·4% | 13·0 | 19·3% | 23·5% | 27·7% | 29·l% | 29·8% | 10·6 | 19·7% | 28·1% | 8·4 |
| (15·7–19·1) | (22·6–26·6) | (24·5–28·6) | (26·4–31·2) | (28·1–32·7) | (15·9–22·7) | (21·9–25·2) | (25·6–29·7) | (26·5–31·6) | (27·2–32·5) | (18·3–21·1) | (26·8–29·4) | |||||
| 2016 | 3076 | 17·2% | 19·2% | 27·2% | 31·7% | 30·0% | 14·5 | 28·2% | 24·7% | 26·5% | 37·4% | 26·9% | 10·8 | 21·8% | 28·6% | 6·8 |
| (13·8–20·6) | (16·4–22·1) | (23·2–31·2) | (27·3–36·0) | (24·9–35·0) | (22·5–34·0) | (20·8–28·5) | (23·1–30·0) | (33·1–41·6) | (22·1–31·8) | (18·8–24·8) | (25·1–32·1) | |||||
| Paraguay, 2011 | 876 | 12·8% | 14·7% | 22·9% | 26·1% | 29·7% | 16·9 | 15·8% | 21·9% | 20·7% | 24·7% | 26·8% | 11·0 | 14·4% | 25·3% | 10·9 |
| (9·4–16·2) | (10·7–18·8) | (18·4–27·3) | (19·9–32·3) | (24·6–34·8) | (11·6–19·9) | (16·6–27·3) | (16·0–25·4) | (20·1–29·3) | (21·9–31·7) | (10·6–18·2) | (21·8–28·8) | |||||
| Peru 2017 | 13 466 | 5·3% | 14·6% | 23·3% | 27·7% | 27·4 | 22·4 | 10·5% | 16·2% | 22·6% | 23·9% | 24·0 | 13·5 | 7·2 | 23·1% | 15·8 |
| (4·4–61) | (131·16–2) | (20·9–25·7) | (24·7–30·6) | (24·6–30·1) | (8·2–12·7) | (13·9–18·4) | (20·5–24·6) | (21·6–26·1) | (21·0–26·9) | (6·2–8·2) | (21·7–24·4) | |||||
| Venezuela, 2014–17 | 1054 | .. | .. | .. | .. | .. | .. | .. | 16·2% | 22·7% | 26·3% | NA | 10·2 | 13·8% | 23·2% | 9·4 |
| (13·9–18·4) | (16·1–29·4) | (16·6–36·1) | (9·2–18·4) | (15·8–30·6) | ||||||||||||
| Regional mean‡ | .. | 12·1% | 16·1% | 20·9% | 24·2% | 24·5% | 12·4 | 17·4% | 18·5% | 21·1% | 24·2% | 23·1% | 6·8 | 12·7% | 22·0% | 9·3 |
NA=not applicable.
*
Unweighted.
†
Gap defined as the difference between the highest and lowest obesity prevalence within the socioeconomic status measure.
‡
Regional mean is the arithmetic average of country estimates for the most recent surveys.