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. 2022 Jul 28;25(11):3137–3145. doi: 10.1017/S1368980022001604

Table 3.

Associations between the participant characteristics and dietary inflammatory index (DII) score(17) (n 1642)

Characteristic Model 1* Model 2
β 95 % CI β 95 % CI
Sex
 Male (ref)
 Female −0·61 –0·76, –0·45 −0·63 –0·79, –0·48
Age (years) 0·01 –0·00, 0·01 −0·00 –0·01, 0·01
BMI (kg/m2) 0·01 –0·01, 0·03 0·01 –0·01, 0·03
Area of residence
 Katsuura-shi, Chiba prefecture (ref)
 Minamiawaji-shi, Hyogo prefecture 0·64 0·40, 0·87 0·67 0·44, 0·90
 Nagasaki-shi, Nagasaki prefecture 0·03 –0·20, 0·26 0·10 –0·13, 0·33
 Oga-shi, Akita prefecture −0·17 –0·40, 0·05 −0·22 –0·44, –0·00
 Takahashi-shi, Okayama prefecture 0·01 –0·21, 0·23 0·07 –0·15, 0·28
Living alone
 No (ref)
 Yes 0·22 0·04, 0·41 0·26 0·08, 0·44
Education
 ≤ 9 years (ref)
 ≥ 10 years −0·36 –0·51, –0·22 −0·33 –0·48, –0·18
Economic status
 Constrained (ref)
 Normal or good −0·21 –0·36, –0·06 −0·13 –0·28, 0·01
Frequency of shopping
 1–2 times per week or less (ref)
 3–6 times per week or more −0·17 –0·31, –0·02 −0·21 –0·35, –0·06
*

A regression analysis of the association between each participant characteristic (explanatory variable) and the DII score (outcome variable) was performed. Energy intake was included as a covariate for energy adjustment.

Multiple regression analysis of the associations between all participant characteristics (explanatory variables) and the DII score (outcome variable) was performed. Energy intake was included as a covariate for energy adjustment.