Item 1: The food that we bought just didn’t last, and we didn’t have money to get more (coded as 1 = often/sometimes true, 0 = never true)
Item 2: We couldn’t afford to eat balanced meals (coded as 1 = often/sometimes true, 0 = never true)
Item 3: Did you or other adult in your household ever cut the size of your meal or skip meals because there wasn’t enough money for food? (coded as 1 = yes, 0 = no)
Item 4: Frequency of item 3 (coded as 1 = almost every month / some months but not every month, and 0 = only 1 or 2 months)
Item 5: Did you ever eat less than you felt you should because there wasn’t enough money for food? (coded as 1 = yes, 0 = no)
Item 6: Were you ever hungry but didn’t eat because there wasn’t enough money for food? (coded as 1 = yes, 0 = no)
Results showed that all items had significant increases from pre-COVID to current situation.
## fi_raw_crt total_crt depress_crt anxiety_crt stress_crt lonely_crt
## fi_raw_crt 1.00 0.32 0.29 0.21 0.27 0.24
## total_crt 0.32 1.00 0.79 0.85 0.85 0.70
## depress_crt 0.29 0.79 1.00 0.54 0.52 0.47
## anxiety_crt 0.21 0.85 0.54 1.00 0.69 0.43
## stress_crt 0.27 0.85 0.52 0.69 1.00 0.44
## lonely_crt 0.24 0.70 0.47 0.43 0.44 1.00
##
## n
## fi_raw_crt total_crt depress_crt anxiety_crt stress_crt lonely_crt
## fi_raw_crt 2478 2478 2478 2478 2477 2478
## total_crt 2478 2478 2478 2478 2477 2478
## depress_crt 2478 2478 2478 2478 2477 2478
## anxiety_crt 2478 2478 2478 2478 2477 2478
## stress_crt 2477 2477 2477 2477 2477 2477
## lonely_crt 2478 2478 2478 2478 2477 2478
##
## P
## fi_raw_crt total_crt depress_crt anxiety_crt stress_crt lonely_crt
## fi_raw_crt 0 0 0 0 0
## total_crt 0 0 0 0 0
## depress_crt 0 0 0 0 0
## anxiety_crt 0 0 0 0 0
## stress_crt 0 0 0 0 0
## lonely_crt 0 0 0 0 0
##
## Call:
## lm(formula = total_fl ~ fi_raw_crt + total_crt, data = fi_pmh_fl)
##
## Residuals:
## Min 1Q Median 3Q Max
## -87.447 -9.649 -0.770 9.403 67.434
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 9.649372 0.447803 21.548 < 2e-16 ***
## fi_raw_crt 0.938908 0.119622 7.849 5.13e-15 ***
## total_crt 0.731029 0.009979 73.254 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 15.45 on 4809 degrees of freedom
## (492 observations deleted due to missingness)
## Multiple R-squared: 0.5665, Adjusted R-squared: 0.5663
## F-statistic: 3142 on 2 and 4809 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = depress_fl ~ fi_raw_crt + depress_crt, data = fi_pmh_fl)
##
## Residuals:
## Min 1Q Median 3Q Max
## -78.399 -8.164 -8.164 5.350 91.836
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.16394 0.43364 18.83 <2e-16 ***
## fi_raw_crt 1.79626 0.17032 10.55 <2e-16 ***
## depress_crt 0.59457 0.01193 49.85 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 22.02 on 4803 degrees of freedom
## (498 observations deleted due to missingness)
## Multiple R-squared: 0.3952, Adjusted R-squared: 0.395
## F-statistic: 1569 on 2 and 4803 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = anxiety_fl ~ fi_raw_crt + anxiety_crt, data = fi_pmh_fl)
##
## Residuals:
## Min 1Q Median 3Q Max
## -79.894 -15.657 -0.952 17.676 84.343
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 15.65741 0.62139 25.197 < 2e-16 ***
## fi_raw_crt 1.39231 0.19166 7.265 4.35e-13 ***
## anxiety_crt 0.55883 0.01201 46.541 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.42 on 4805 degrees of freedom
## (496 observations deleted due to missingness)
## Multiple R-squared: 0.3346, Adjusted R-squared: 0.3343
## F-statistic: 1208 on 2 and 4805 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = stress_fl ~ fi_raw_crt + stress_crt, data = fi_pmh_fl)
##
## Residuals:
## Min 1Q Median 3Q Max
## -86.49 -18.89 0.43 16.55 81.11
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 18.88838 0.69624 27.129 < 2e-16 ***
## fi_raw_crt 1.56034 0.19211 8.122 5.78e-16 ***
## stress_crt 0.58243 0.01181 49.302 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.03 on 4757 degrees of freedom
## (544 observations deleted due to missingness)
## Multiple R-squared: 0.3763, Adjusted R-squared: 0.3761
## F-statistic: 1435 on 2 and 4757 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = lonely_fl ~ fi_raw_crt + lonely_crt, data = fi_pmh_fl)
##
## Residuals:
## Min 1Q Median 3Q Max
## -90.699 -11.769 0.799 7.083 88.231
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 11.769406 0.508037 23.17 < 2e-16 ***
## fi_raw_crt 0.677625 0.130068 5.21 1.97e-07 ***
## lonely_crt 0.748638 0.009833 76.14 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 17.12 on 4805 degrees of freedom
## (496 observations deleted due to missingness)
## Multiple R-squared: 0.5669, Adjusted R-squared: 0.5667
## F-statistic: 3145 on 2 and 4805 DF, p-value: < 2.2e-16
## fi_raw_crt ctotal_crt fussy_crt fear_crt
## fi_raw_crt 1.00 0.25 0.20 0.23
## ctotal_crt 0.25 1.00 0.85 0.85
## fussy_crt 0.20 0.85 1.00 0.46
## fear_crt 0.23 0.85 0.46 1.00
##
## n
## fi_raw_crt ctotal_crt fussy_crt fear_crt
## fi_raw_crt 2478 2478 2477 2476
## ctotal_crt 2478 2478 2477 2476
## fussy_crt 2477 2477 2477 2476
## fear_crt 2476 2476 2476 2476
##
## P
## fi_raw_crt ctotal_crt fussy_crt fear_crt
## fi_raw_crt 0 0 0
## ctotal_crt 0 0 0
## fussy_crt 0 0 0
## fear_crt 0 0 0
##
## Call:
## lm(formula = ctotal_fl ~ fi_raw_crt + ctotal_crt, data = fi_cp_fl)
##
## Residuals:
## Min 1Q Median 3Q Max
## -80.215 -12.620 -3.132 12.380 87.380
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 12.61985 0.51104 24.695 < 2e-16 ***
## fi_raw_crt 1.10892 0.15850 6.996 2.99e-12 ***
## ctotal_crt 0.62050 0.01136 54.641 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 20.8 on 4809 degrees of freedom
## (492 observations deleted due to missingness)
## Multiple R-squared: 0.4136, Adjusted R-squared: 0.4133
## F-statistic: 1696 on 2 and 4809 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = fussy_fl ~ fi_raw_crt + fussy_crt, data = fi_cp_fl)
##
## Residuals:
## Min 1Q Median 3Q Max
## -82.128 -20.705 1.624 19.088 79.295
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 20.70537 0.71888 28.802 < 2e-16 ***
## fi_raw_crt 1.21638 0.20123 6.045 1.61e-09 ***
## fussy_crt 0.55341 0.01216 45.493 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 26.7 on 4801 degrees of freedom
## (500 observations deleted due to missingness)
## Multiple R-squared: 0.3213, Adjusted R-squared: 0.321
## F-statistic: 1136 on 2 and 4801 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = fear_fl ~ fi_raw_crt + fear_crt, data = fi_cp_fl)
##
## Residuals:
## Min 1Q Median 3Q Max
## -74.186 -10.077 -8.675 12.774 91.325
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.67544 0.48261 17.976 < 2e-16 ***
## fi_raw_crt 1.40163 0.19250 7.281 3.85e-13 ***
## fear_crt 0.57101 0.01185 48.196 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.33 on 4800 degrees of freedom
## (501 observations deleted due to missingness)
## Multiple R-squared: 0.3559, Adjusted R-squared: 0.3556
## F-statistic: 1326 on 2 and 4800 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = ctotal_fl2 ~ fi_raw_crt + ctotal_crt, data = fi_pmh_cp)
##
## Residuals:
## Min 1Q Median 3Q Max
## -74.722 -13.075 -3.487 11.925 81.752
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.07533 0.55417 23.59 < 2e-16 ***
## fi_raw_crt 1.29321 0.17716 7.30 3.43e-13 ***
## ctotal_crt 0.61646 0.01238 49.80 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 21.13 on 4173 degrees of freedom
## (1128 observations deleted due to missingness)
## Multiple R-squared: 0.4051, Adjusted R-squared: 0.4049
## F-statistic: 1421 on 2 and 4173 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = total_fl ~ fi_raw_crt + total_crt, data = fi_pmh_cp)
##
## Residuals:
## Min 1Q Median 3Q Max
## -87.447 -9.649 -0.770 9.403 67.434
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 9.649372 0.447803 21.548 < 2e-16 ***
## fi_raw_crt 0.938908 0.119622 7.849 5.13e-15 ***
## total_crt 0.731029 0.009979 73.254 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 15.45 on 4809 degrees of freedom
## (492 observations deleted due to missingness)
## Multiple R-squared: 0.5665, Adjusted R-squared: 0.5663
## F-statistic: 3142 on 2 and 4809 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = ctotal_fl2 ~ total_fl + ctotal_fl + fi_raw_crt,
## data = fi_pmh_cp)
##
## Residuals:
## Min 1Q Median 3Q Max
## -75.779 -12.277 -1.949 12.538 85.736
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.97089 0.65917 12.092 < 2e-16 ***
## total_fl 0.15898 0.01518 10.473 < 2e-16 ***
## ctotal_fl 0.59197 0.01281 46.215 < 2e-16 ***
## fi_raw_crt 0.86719 0.17336 5.002 5.89e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 20.25 on 4172 degrees of freedom
## (1128 observations deleted due to missingness)
## Multiple R-squared: 0.4538, Adjusted R-squared: 0.4534
## F-statistic: 1156 on 3 and 4172 DF, p-value: < 2.2e-16
## $`97.5% CI`
## [1] 0.07697582 0.18272167
##
## $Estimate
## [1] 0.126
##
## $SE
## [1] 0.02703849