Table 2.
Results of multinomial logistic regression analyses of the association between meat consumption and prediabetes or diabetes among community-dwelling adults in rural Khánh Hòa province, Vietnam (2019–2020)
| n | Prediabetes | Diabetes mellitus | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| n | Model 1 | Model 2 | n | Model 1 | Model 2 | ||||||
| Relative-risk ratios | 95 % CI | Relative-risk ratios | 95 % CI | Relative-risk ratios | 95 % CI | Relative-risk ratios | 95 % CI | ||||
| 1. Red/processed meat consumption | |||||||||||
| 0–99 g | 2005 | 905 | 1·00 (Ref.) | 1·00 (Ref.) | 209 | 1·00 (Ref.) | 1·00 (Ref.) | ||||
| 100–199 g | 672 | 323 | 1·18 | 0·98, 1·42 | 1·25 | 1·01, 1·54 | 61 | 1·01 | 0·67, 1·53 | 1·11 | 0·75, 1·62 |
| ≥ 200 g | 323 | 173 | 1·58 | 1·20, 2·09 | 1·67 | 1·20, 2·33 | 37 | 1·55 | 1·14, 2·11 | 1·80 | 1·40, 2·32 |
| P trend = 0·002 | P trend = 0·004 | P trend = 0·124 | P trend = 0·006 | ||||||||
| 2. Poultry consumption | |||||||||||
| 0–99 g | 1500 | 731 | 1·00 (Ref.) | 1·00 (Ref.) | 157 | 1·00 (Ref.) | 1·00 (Ref.) | ||||
| 100–199 g | 1130 | 495 | 0·84 | 0·66, 1·07 | 0·85 | 0·70, 1·05 | 118 | 0·97 | 0·77, 1·22 | 1·02 | 0·79, 1·32 |
| 200–299 g | 209 | 100 | 0·92 | 0·70, 1·20 | 0·92 | 0·76, 1·11 | 18 | 0·84 | 0·50, 1·41 | 0·76 | 0·53, 1·11 |
| ≥ 300 g | 161 | 75 | 0·87 | 0·57, 1·32 | 0·84 | 0·57, 1·23 | 14 | 0·81 | 0·36, 1·82 | 0·71 | 0·30, 1·69 |
| P trend = 0·283 | P trend = 0·179 | P trend = 0·506 | P trend = 0·399 | ||||||||
The results are shown as relative-risk ratios and corresponding 95 % CI.
Model 1 was adjusted for age, age squared term and sex, while model 2 was further adjusted for other socio-demographic variables (education, occupation and household income), lifestyle variables (smoking status, alcohol consumption, physical activity, sleeping hours, fruit consumption, vegetable consumption and sweetened beverage consumption) and health-related variables (BMI, hypertension, dyslipidaemia and family history of diabetes). When the consumption of red/processed meat and poultry was examined, the exposures were simultaneously incorporated into the models.