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. 2017 Oct 9;21(5):838–848. doi: 10.1017/S1368980017002154

Table 3.

Multilevel linear regression estimates of interaction effects between food insecurity and two social network characteristics, separately, in predicting depression symptom severity among men aged 18 years or older in eight villages in rural south-western Uganda

Model 2 – Men; including personal social ‘closeness’ in the village network Model 2 – Men; including ‘percentage of personal network contacts who are poor’
b 95 % CI b 95 % CI
Main effects
Intercept 1·16*** 1·05, 1·26 1·04*** 0·86, 1·21
No food insecurity (reference)
Mild food insecurity −0·06 −0·19, 0·06 0·04 −0·11, 0·20
Moderate food insecurity −0·03 −0·14, 0·08 0·05 −0·08, 0·19
Severe food insecurity 0·16* 0·08, 0·33 0·49** 0·32, 0·65
Closeness centrality (continuous quintiles) −0·04** −0·07, −0·01
Percentage of network who are poor (based on quintiles representing 0 to 100 %) 0·01 −0·04, 0·05
Interaction effects
Closeness centrality × No food insecurity
Closeness centrality × Mild food insecurity 0·03 −0·01, 0·08
Closeness centrality × Moderate food insecurity 0·06** 0·01, 0·10
Closeness centrality × Severe food insecurity 0·07** 0·02, 0·13
Percentage of contacts who are poor × No food insecurity
Percentage of contacts who are poor × Mild food insecurity −0·02 −0·09, 0·05
Percentage of contacts who are poor × Moderate food insecurity 0·01 −0·05, 0·07
Percentage of contacts who are poor × Severe food insecurity −0·07* −0·15, −0·01

Estimates were obtained using a two-level, random-intercepts linear regression model which accounted for clustering at the household level and adjusted for all covariates included in Model 1 in Table 2, as well as for total degree.

*P<0·05, **P<0·01, ***P<0·001.