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. 2019 Nov 18;14(11):e0224557. doi: 10.1371/journal.pone.0224557

Table 4. Result of exploratory and confirmatory factor analysis: Social determinants of the health literacy (n = 660).

Domain Item EFA CFA
Factor 1 Factor2 Factor 3 Factor4 Factor Loading AVE CR
Under
stand
1. Understand that the lesser the income the greater the tendency to become ill (8) .553 .545 .55 .90
2. Understand that abuse suffered as a child has an impact even when one becomes an adult (9) .762 .764
3. Understand that being isolated from the community and workplace impacts health (10) .734 .742
4. Understand that determining how to proceed working on one’s own is related to stress (11) .647 .657
5. Understand that work that is not stable becomes a huge stress (12) .780 .726
6. Understand that widening income disparities dilute the ties between people (13) .753 .682
7. Understand that in a society with a high level of stress, there is a tendency toward dependency on drugs (14) .672 .627
Apply 8. Cooperate in the creation of a fair society in which everyone can live a healthy life (22) .388 .478 .46 .91
9. Involve oneself in politics and public administration to help small children live a healthy life (23) .546 .579
10. Participate in childcare support activities (24) .600 .553
11. Participate in activities to eliminate poverty (25) .646 .620
12. Involve oneself in politics and public administration to protect the health of workers both institutionally and legally (26) .715 .685
13. Approach the manager or the employer regarding rewards that do not match efforts done at work (27) .595 .539
14. Participate in activities to increase employment and vocational training opportunities (28) .700 .637
15. Participate in activities that support an individual, including his or her family, who is in trouble in the community or workplace (29) .715 .665
16. Participate in activities to spread the importance of ties with people for health (30) .680 .602
17. Involve oneself in politics and public administration to make it easier for persons who have used illegal drugs to receive treatment (31) .665 .626
18. Participate in activities that promote a healthy diet (32) .542 .487
19. Involve oneself in politics and public administration to seek road priority for pedestrians and cyclists (33) .677 .619
Appraise 20. Judge what inequities exist in society in view of living a healthy life (15) .471 .527 .43 .84
21. Judge what kind of government services should be supplied to those really in need of support (16) .620 .599
22. Judge what level of burden of work has on health (17) .619 .605
23. Judge what kind of support should be supplied to someone in trouble in the community or workplace (18) .623 .608
24. Judge how neighbors should help each other (19) .559 .572
25. Judge the merits and demerits of the spread of processed foods (20) .256 .561
26. Judge the kind of impact that motorization has on health (21) .445 .540
Access 27. Find out about the impact of social position on health (1) .237 .41 .82
28. Find information related to the impact of the daily life of a mother on the growth of the child to be born (2) .494
29. Find someone who is isolated from society and whose health is failing (3) .575
30. Find information on the relation between unemployment and stress (4) .723
31. Find out the support required by someone in trouble in the community or workplace (5) .730
32. Find out smoking is not going to eliminate the cause of stress (6) .504
33. Find information about the relationship between dietary changes and health (7) .590
Eigen value 9.16 3.31 1.51 1.32
Explained variance(%) 27.76 10.03 4.58 3.99
Cumulative (%) 27.76 37.80 42.37 46.36
Kaiser-Meyer-Olkin (KMO) = .93; Bartlett’s test of sphericity = 7703.79 (p < .001) Model fitness
χ2 (489) = 1475.054, p < .001, RMSEA = .06, CFI = .87, TLI = .85
Cronbach’s α .86 .86 .77 .75
Total Cronbach’s α = .92

EFA = Exploratory factor analysis; CFA = Confirmatory factor analysis; AVE = Average variance extracted; CR = Composite reliability; RMSEA = Root mean square error of approximation; CFI = Comparative fit index; TLI = Tucker-Lewis index