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. 2022 Aug 25;10:950870. doi: 10.3389/fpubh.2022.950870

Table 3.

Demographic variables.

2010 (n = 4,967) Mean (SD) or n (%) 2012 (n = 4,460) Mean (SD) or n (%) 2014 (n = 4,514) Mean (SD) or n (%) 2016 (n = 4,484) Mean (SD) or n (%) 2018 (n = 4,825) Mean (SD) or n (%) 2020 (n = 3,652) Mean (SD) or n (%) 2010~2020 (n = 26,902) Mean (SD) or n (%)
Grandchild care
Grandparent-raised = 1 1,139 (22.93%) 1,075 (24.10%) 1,185 (26.25%) 1,261 (28.12%) 1,510 (31.30%) 787 (21.55%) 6,957 (25.86%)
Non-grandparent-raised = 0 3,828 (77.07%) 3,385 (75.90%) 3,329 (73.75%) 3,223 (71.88%) 3,315 (68.70%) 2,865 (78.45%) 19,945 (74.14%)
Public medical insurance
Insured = 1 3,145 (63.32%) 2,435 (54.60%) 3,088 (68.41%) 4,021 (89.67%) 4,368 (90.53%) 3,028 (82.91%) 20,085 (74.66%)
Uninsured = 0 1,822 (36.68%) 2,025 (45.40%) 1,426 (31.59%) 463 (10.33%) 457 (9.47%) 624 (17.09%) 6,817 (25.34%)
Commercial medical insurance
Participated = 1 875 (17.62%) 567 (12.71%) 676 (14.98%) 539 (12.02%) 637 (13.20%) 763 (20.89%) 4,057 (15.08%)
Unparticipated = 0 4,092 (82.38%) 3,893 (87.29%) 3,838 (85.02%) 3,945 (87.98%) 4,188 (86.80%) 2,889 (79.11%) 22,845 (84.92%)
Medical utilization (range 0~60) 1.39 (2.37) 0.93 (1.94) 1.67 (3.64) 1.71 (3.10) 1.74 (3.69) 1.17 (2.39) 1.45 (2.96)
Age (range 6~16) 10.59 (2.92) 10.41 (2.92) 10.37 (2.90) 10.13 (2.86) 10.25 (2.88) 10.31 (2.85) 10.35 (2.89)
Gender
Male 2,571 (51.76%) 2,335 (52.35%) 2,384 (52.81%) 2,430 (54.19%) 2,583 (53.53%) 1,950 (53.40%) 14,253 (52.98%)
Female 2,396 (48.24%) 2,125 (47.65%) 2,130 (47.19%) 2,054 (45.81%) 2,242 (46.47%) 1,702 (46.60%) 12,649 (47.02%)
Income
High-income 2,571 (51.76%) 2,335 (52.35%) 2,130 (52.81%) 2,430 (54.19%) 2,583 (53.53%) 1,950 (53.40%) 13,490 (50.14%)
Low-income 2,396 (48.24%) 2,125 (47.65%) 2,384 (47.19%) 2,054 (45.81%) 2,242 (46.47%) 1,702 (46.60%) 13,412 (49.86%)
Education (range 0~30) 5.98 (3.96) 6.18 (3.68) 5.86 (3.45) 6.17 (3.47) 6.87 (3.21) 7.27 (3.41) 6.36 (3.58)
Region
Eastern 1,766 (35.55%) 1,594 (35.74%) 1,502 (33.27%) 1,448 (32.29%) 1,652 (34.24%) 1,301 (35.62%) 9,263 (34.43%)
Middle 1,526 (30.72%) 1,390 (31.17%) 1,477 (32.72%) 1,462 (32.60%) 1,545 (32.02%) 1,143 (31.30%) 8,543 (31.76%)
Western 1,675 (33.72%) 1,476 (33.09%) 1,535 (34.01%) 1,574 (35.10%) 1,628 (33.74%) 1,208 (33.08%) 9,096 (33.81%)

Chi-square test for heterogeneity(categorical variables), ANOVA test for differences in the mean (continuous normally distributed variables). SD, standard deviation.