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. 2022 Jul 26;9:906646. doi: 10.3389/fnut.2022.906646

Table 4.

Multivariable analysis exploring associations between food insecurity, financial wellbeing sociodemographic and economic characteristics of study participants with their quality of life parameters [SF-12 components (PCS-SF12 and MCS-SF12)].

PCS-SF12 total scale MCS-SF12 total scale
UB (95% CI) SB p-value UB (95% CI) SB p-value
Model 1
Gender −0.28 (−2.14; 1.56) −0.01 0.759 −1.25 (−3.79; 1.28) −0.05 0.332
Age −0.06 (−0.13; 0.01) −0.10 0.076 0.03 (−0.06; 0.13) 0.04 0.481
Household crowding index −2.07 (−3.77;−0.37) −0.14 0.017 −0.42 (−2.75; 1.90) −0.02 0.721
Education level (secondary vs. primary*) −9.76 (−17.23;−2.28) −0.28 0.011 5.89 (−4.32; 16.11) 0.12 0.258
Education level (university vs. primary*) −5.49 (−12.15; 1.16) −0.18 0.106 1.01 (−8.09; 10.12) 0.02 0.826
Financial status (Average vs. poor*) 1.20 (−0.81; 3.21) 0.07 0.242 2.80 (0.05; 5.56) 0.12 0.046
Financial status (Rich vs. poor*) −1.01 (−7.17; 5.14) −0.02 0.745 9.34 (0.91; 17.76) 0.12 0.030
Fear of poverty −0.04 (−0.32; 0.23) −0.02 0.753 −0.72 (−1.09;−0.33) −0.22 <0.001
Monthly income (low vs. no income*) −0.02 (−3.17; 3.13) −0.01 0.989 −2.64 (−6.96; 1.67) −0.09 0.229
Monthly income (intermediate vs. no income*) 2.54 (−0.30; 5.38) 0.16 0.080 −3.51 (−7.40; 0.37) −0.16 0.076
Monthly income (high vs. no income*) 2.33 (−0.18; 4.84) 0.17 0.069 −2.09 (−5.53; 1.34) −0.11 0.231
Model 2
Food insecurity vs. food security* −1.48 (−3.10; 0.13) −0.10 0.072 −1.46 (−3.68; 0.75) −0.07 0.195
Gender −0.31 (−2.16; 1.53) −0.02 0.738 −1.27 (−3.81; 1.25) −0.05 0.322
Age −0.06 (−0.13; 0.01) −0.10 0.092 0.04 (−0.06; 0.14) 0.05 0.440
Household crowding index −1.99 (−3.68;−0.29) −0.13 0.022 −0.34 (−2.67; 1.98) −0.02 0.771
Education level (secondary vs. primary*) −9.78 (−17.23;−2.34) −0.28 0.010 5.86 (−4.34; 16.06) 0.12 0.259
Education level (university vs. primary*) −5.65 (−12.29; 0.97) −0.19 0.094 0.85 (−8.25; 9.95) 0.02 0.854
Financial status (Average vs. poor*) 0.97 (−1.05; 2.99) 0.06 0.346 2.57 (−0.19; 5.35) 0.11 0.069
Financial status (Rich vs. poor*) −1.54 (−7.70; 4.62) −0.03 0.622 8.82 (0.37; 17.27) 0.12 0.041
Fear of poverty 0.01 (−0.27; 0.29) 0.01 0.928 −0.66 (−1.05;−0.27) −0.20 0.001
Monthly income (low vs. no income*) 0.19 (−2.96; 3.34) 0.01 0.905 −2.43 (−6.76; 1.89) −0.09 0.269
Monthly income (intermediate vs. no income*) 2.67 (−0.16; 5.51) 0.17 0.064 −3.38 (−7.27; 0.50) −0.15 0.088
Monthly income (high vs. no income*) 2.38 (−0.11; 4.89) 0.18 0.062 −2.04 (−5.47; 1.39) −0.11 0.243
Model 3
Gender 0.05 (−1.94; 2.05) 0.003 0.958 −2.79 (−5.37;−0.22) −0.12 0.034
Age −0.06 (−0.13; 0.02) −0.10 0.120 0.10 (0.01; 0.20) 0.13 0.028
Household crowding index −1.80 (−3.53;−0.07) −0.12 0.041 −0.26 (−2.49; 1.97) −0.01 0.819
Education level (secondary vs. primary*) −9.88 (−17.37;−2.38) −0.28 0.010 5.03 (−4.62; 14.69) 0.11 0.306
Education level (university vs. primary*) −5.79 (−12.47; 0.88) −0.19 0.089 1.05 (−7.56; 9.66) 0.02 0.810
Financial status (Average vs. poor*) 1.14 (−0.92; 3.22) 0.07 0.277 0.90 (−1.76; 3.57) 0.04 0.506
Financial status (Rich vs. poor*) −1.30 (−7.61; 5.00) −0.02 0.685 6.51 (−1.62; 14.64) 0.09 0.116
Fear of poverty −0.05 (−0.40; 0.29) −0.02 0.777 0.05 (−0.39; 0.50) 0.02 0.798
Monthly income (low vs. no income*) 0.07 (−3.12; 3.28) 0.004 0.961 −0.65 (−4.79; 3.47) −0.02 0.754
Monthly income (intermediate vs. no income*) 2.50 (−0.36; 5.38) 0.16 0.087 −2.36 (−6.07; 1.34) −0.11 0.210
Monthly income (high vs. no income*) 2.25 (−0.26; 4.77) 0.17 0.080 −1.72 (−4.97; 1.53) −0.09 0.299
Food insecurity vs. food security* −1.52 (−3.22; 0.17) −0.11 0.078 0.21 (−1.97; 2.39) 0.01 0.851
Financial wellbeing scale (IFDFW) −0.15 (−0.68; 0.37) −0.05 0.574 1.63 (0.94; 2.31) 0.36 <0.001
Fear of COVID-19 −0.03 (−0.16; 0.09) −0.03 0.603 −0.21 (−0.37;−0.04) −0.14 0.012
Alcohol consumption −0.86 (−2.33; 0.60) −0.07 0.247 0.75 (−1.14; 2.64) 0.04 0.435
Smoking status (smoker vs. non-smoker*) −0.29 (−1.70; 1.11) −0.03 0.682 2.82 (1.00; 4.64) 0.18 0.002

Variables entered in model 1: Gender, age, household crowding index, education level, financial status, fear of poverty, monthly income and household crowding index. Variables entered in model 2: Gender, age, household crowding index, education level, financial status, fear of poverty, monthly income and household crowding index and food insecurity. Variables entered in model 3: Gender, age, household crowding index, education level, financial status, fear of poverty, monthly income, household crowding index, food insecurity, financial wellbeing, fear of COVID-19, alcohol consumption and smoking status.

Model 1 explores the relationship between sociodemographic variables and quality of life (QOL) parameters (PCS-SF12 and MCS-SF12).

Model 2 explores the relationship between food security variable with QOL parameters, adjusting for sociodemographic variables, including Gender, age, household crowding index, education level, financial status, fear of poverty, monthly income and household crowding index.

Model 3 explores the relationship between food security, lifestyle variables and financial wellbeing with QOL parameters adjusting for sociodemographic variables (Gender, age, household crowding index, education level, financial status, fear of poverty, monthly income and household crowding index) and fear of COVID-19. UB, Unstandardized adjusted regression coefficients; SB, Standardized adjusted regression coefficients. All results in the models were presented as adjusted beta-coefficients with 95%CI.

*

Reference group.