Table 2.
Study population | North-west | North-east | Centre | South | Islands | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Men | Women | P† | Men | Women | P† | Men | Women | P† | Men | Women | P† | Men | Women | P† | Men | Women | P† | P‡ | |
Obesity (%) | 26·1 | 18·9 | 0·003 | 20·5 | 15·2 | 0·041 | 19·9 | 12·9 | 0·001 | 24·2 | 18·1 | 0·010 | 31·5 | 23·5 | 0·020 | 24·6 | 16·8 | 0·004 | 0·001 |
Overweight (%) | 56·7 | 31·6 | 0·001 | 55·3 | 29·2 | 0·001 | 56·0 | 32·2 | 0·001 | 57·5 | 32·5 | 0·016 | 52·6 | 32·3 | 0·017 | 57·5 | 30·8 | 0·010 | 0·001 |
High waist circumference (%) | 57·0 | 56·4 | 0·001 | 53·8 | 53·0 | 0·001 | 52·9 | 51·8 | 0·001 | 53·6 | 58·1 | 0·028 | 60·3 | 60·6 | 0·022 | 61·5 | 53·9 | 0·044 | 0·001 |
Hypertension (%) | 70·0 | 48·3 | 0·001 | 73·4 | 52·1 | 0·001 | 73·4 | 51·0 | 0·001 | 72·5 | 47·0 | 0·022 | 69·3 | 48·2 | 0·009 | 61·0 | 40·6 | 0·010 | 0·001 |
Hypercholesterolaemia (%) | 26·8 | 32·7 | 0·001 | 29·0 | 35·2 | 0·001 | 29·7 | 34·9 | 0·001 | 26·5 | 33·2 | 0·028 | 25·9 | 29·3 | 0·001 | 24·6 | 32·9 | 0·001 | 0·001 |
Hypertriacylglycerolaemia (%) | 47·8 | 43·1 | 0·002 | 48·7 | 48·1 | 0·022 | 52·0 | 45·8 | 0·002 | 49·6 | 45·8 | 0·010 | 46·7 | 38·5 | 0·512 | 43·1 | 36·5 | 0·248 | 0·001 |
Lipid-lowering therapy (%) | 9·5 | 9·0 | 0·007 | 9·5 | 10·5 | 0·001 | 6·5 | 7·8 | 0·001 | 10·0 | 8·5 | 0·372 | 9·7 | 9·2 | 0·030 | 10·6 | 9·6 | 0·488 | 0·001 |
Dyslipidaemia (%) | 60·3 | 57·7 | 0·001 | 63·5 | 63·3 | 0·001 | 65·2 | 60·1 | 0·001 | 60·9 | 59·9 | 0·001 | 58·2 | 52·2 | 0·010 | 56·2 | 53·7 | 0·003 | 0·001 |
Diabetes (%) | 19·0 | 11·2 | 0·001 | 18·1 | 11·7 | 0·004 | 15·3 | 10·4 | 0·036 | 16·8 | 9·6 | 0·001 | 21·5 | 12·6 | 0·021 | 20·6 | 11·3 | 0·014 | 0·001 |
Hyperglycaemia (%) | 15·5 | 10·8 | 0·019 | 16·7 | 10·7 | 0·006 | 14·7 | 8·6 | 0·030 | 21·7 | 15·2 | 0·003 | 12·2 | 9·0 | 0·098 | 12·7 | 7·6 | 0·040 | 0·001 |
Smoking (%) | 25·2 | 14·0 | 0·001 | 18·8 | 11·6 | 0·010 | 20·6 | 13·7 | 0·011 | 23·2 | 16·8 | 0·022 | 28·4 | 11·9 | 0·001 | 30·5 | 17·9 | 0·001 | 0·001 |
†Survey regression analysis adjusted for each town unit for average age and gender.
‡Linear and logistic regression models adjusted for age and gender.