Table 4.
The odds for MetS and its components according to demographic and socio-economic indicators in women: representative sample of Tunisian adults aged 35–74 years, Transition and Health Impact in North Africa (TAHINA) project, 2004–2005
| MetS | Component of MetS | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Unadjusted† | Multiple-adjusted‡ | High WC† | High BP† | High FBG† | High TC† | High TAG† | |||||||||
| n 2814 | OR | 95 % CI | OR | 95 % CI | OR | 95 % CI | OR | 95 % CI | OR | 95 % CI | OR | 95 % CI | OR | 95 % CI | |
| Residence area | |||||||||||||||
| Rural§ | 347 | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – |
| Urban | 670 | 1·69*** | 1·44, 1·98 | 1·83*** | 1·52, 2·21 | 2·06*** | 1·76, 2·41 | 1·01 | 0·94, 1·27 | 2·04*** | 1·60, 2·59 | 1·46*** | 1·21, 1·75 | 1·14 | 0·98, 1·32 |
| Marital status | |||||||||||||||
| Single§ | 26 | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – |
| Married | 790 | 0·92 | 0·56, 1·50 | 0·82 | 0·46, 1·44 | 1·71* | 1·07, 2·74 | 0·91 | 0·57, 1·46 | 1·28 | 0·58, 2·83 | 1·26 | 0·69, 2·33 | 0·83 | 0·52, 1·34 |
| Widowed/divorced | 201 | 1·48 | 0·88, 2·49 | 1·05 | 0·58, 1·92 | 1·80* | 1·08, 2·98 | 1·41 | 0·86, 2·33 | 2·19 | 0·97, 4·95 | 1·60 | 0·84, 3·03 | 0·81 | 0·49, 1·34 |
| Smoking status | |||||||||||||||
| Never smoker§ | 966 | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – |
| Smoker | 18 | 1·33 | 0·71, 2·46 | 1·05 | 0·50, 2·19 | 0·95 | 0·50, 1·79 | 0·87 | 0·47, 1·60 | 1·82 | 0·86, 3·83 | 1·22 | 0·61, 2·45 | 0·99 | 0·53, 1·82 |
| Family history of CVD | |||||||||||||||
| None§ | 968 | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – |
| Yes | 42 | 2·11* | 1·34, 3·31 | 1·39 | 0·85, 2·28 | 2·24* | 1·27, 3·96 | 1·75* | 1·10, 2·80 | 3·07*** | 1·87, 5·03 | 2·09* | 1·31, 3·34 | 1·46 | 0·92, 2·32 |
| Menopausal status | |||||||||||||||
| Premenopausal§ | 335 | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – |
| Postmenopausal | 626 | 2·45*** | 2·08, 2·89 | 1·46* | 1·12, 1·89 | 1·26* | 1·07, 1·48 | 3·25*** | 2·77, 3·80 | 2·51*** | 1·97, 3·21 | 1·88*** | 1·56, 2·26 | 1·10 | 0·95, 1·28 |
| Education level | |||||||||||||||
| Illiterate§ | 607 | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – |
| Low | 299 | 0·90 | 0·75, 1·07 | 1·21 | 0·96, 1·60 | 1·41*** | 1·17, 1·68 | 0·55*** | 0·47, 0·65 | 1·02 | 0·80, 1·30 | 0·99 | 0·81, 1·22 | 1·14 | 0·96, 1·34 |
| Intermediate | 92 | 0·74* | 0·57, 0·97 | 0·95 | 0·67, 1·33 | 1·07 | 0·83, 1·39 | 0·43*** | 0·33, 0·55 | 0·86 | 0·59, 1·26 | 1·14 | 0·85, 1·53 | 1·24 | 0·97, 1·60 |
| Higher | 16 | 0·30* | 0·30, 0·97 | 0·58 | 0·26, 1·30 | 0·97 | 0·58, 1·63 | 0·32*** | 0·19, 0·56 | 0·42 | 0·15, 1·19 | 1·73* | 1·01, 2·96 | 0·79 | 0·48, 1·30 |
| Occupation | |||||||||||||||
| Upper§ | 32 | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – | 1·00 | – |
| Intermediate | 18 | 0·68 | 0·34, 1·35 | 0·57 | 0·26, 1·24 | 1·19 | 0·61, 2·30 | 0·82 | 0·42, 1·60 | 0·54 | 0·19, 1·49 | 1·31 | 0·62, 2·72 | 0·93 | 0·49, 1·77 |
| Employee/worker | 79 | 0·94 | 0·56, 1·58 | 0·63 | 0·35, 1·13 | 1·06 | 0·64, 1·75 | 0·98 | 0·59, 1·62 | 0·69 | 0·34, 1·39 | 1·20 | 0·67, 2·15 | 0·77 | 0·47, 1·25 |
| Not working/retired | 860 | 1·06 | 0·68, 1·64 | 0·72 | 0·43, 1·20 | 1·21 | 0·78, 1·87 | 1·88* | 1·22, 2·91 | 0·84 | 0·47, 1·51 | 0·99 | 0·60, 1·65 | 0·82 | 0·53, 1·25 |
MetS, metabolic syndrome; WC, waist circumference; BP, blood pressure; FBG, fasting blood glucose; TC, total cholesterol.
Odds ratios were significant compared with the referent category: *P < 0·05, ***P < 0·001.
†Univariate logistic regression.
‡Multivariate logistic regression analysis including MetS as the dependent variable and age, residence area, marital status, smoking, family history of CVD, educational level and occupation as independent variables.
§Referent category.