Table 3.
Pre-intervention (April 2020) | Post-intervention (December 2020) | ||||
---|---|---|---|---|---|
Variables | Levels | N (%) | Adjusted | N (%) | Adjusted |
Overall | 602 (100) | 606 (100) | |||
Age groups | 18–35 years of age | 179 (29.7) | 1.43 (1.30–1.58)a | 206 (34.0) | 1.99 (1.83–2.15)a |
36–49 years of age | 202 (33.6) | 1.53 (1.39–1.67)ab | 184 (30.4) | 2.08 (1.92–2.24)a | |
50–65 years of age | 186 (30.9) | 1.80 (1.66–1.95)b | 187 (30.9) | 2.52 (2.36–2.68)b | |
66 years and above | 35 (5.8) | 1.86 (1.47–2.25)ab | 29 (4.8) | 2.53 (2.08–2.97)ab | |
Sex | Male | 300 (49.8) | 1.49 (1.39–1.60)a | 312 (51.5) | 2.15 (2.03–2.26) |
Female | 302 (50.2) | 1.71 (1.60–1.82)b | 294 (48.5) | 2.27 (2.15–2.39) | |
Place of living | Urban | 125 (20.8) | 1.65 (1.48–1.82) | 123 (20.3) | 2.41 (2.23–2.59)b |
Intermediate | 205 (34.1) | 1.60 (1.50–1.73) | 202 (33.3) | 2.18 (2.04–2.32)ab | |
Rural | 272 (45.2) | 1.59 (1.49–1.70) | 281 (46.4) | 2.13 (2.02–2.26)a | |
Education | Lower | 24 (4.0) | 1.64 (1.25–2.03) | 22 (3.6) | 1.98 (1.54–2.42) |
Medium | 308 (51.2) | 1.56 (1.46–1.67) | 279 (46.0) | 2.11 (1.99–2.24) | |
Higher | 270 (44.9) | 1.65 (1.53–1.77) | 305 (50.3) | 2.31 (2.19–2.42) | |
Financial status | Below average | 137 (22.8) | 1.36 (1.19–1.53)a | 147 (24.3) | 2.12 (1.94–2.77) |
Average | 363 (60.3) | 1.65 (1.55–1.75)b | 361 (59.6) | 2.22 (2.03–2.41) | |
Above average | 102 (16.9) | 1.78 (1.59–1.98)b | 98 (16.2) | 2.26 (2.06–2.47) | |
Health status | Low | 23 (3.8) | 2.04 (1.64–2.44) | 23 (3.8) | 2.35 (1.93–2.77) |
Average | 121 (20.1) | 1.65 (1.47–1.83) | 126 (20.8) | 2.22 (2.03–2.41) | |
High | 458 (76.1) | 1.57 (1.48–1.66) | 457 (75.4) | 2.19 (2.10–2.29) | |
Employment | Employed | 375 (62.3) | 1.63 (1.53–1.73) | 383 (63.2) | 2.16 (2.05–2.27) |
Unemployed | 79 (13.1) | 1.43 (1.19–1.68) | 87 (14.4) | 2.16 (1.88–2.43) | |
Student | 49 (8.1) | 1.70 (1.40–2.01) | 58 (9.6) | 2.58 (2.26–2.88) | |
Retired | 99 (16.5) | 1.64 (1.43–1.86) | 78 (12.9) | 2.19 (1.95–2.43) |
Identified factors based on contrast of marginal linear predictions accounting for vitamin D-related knowledge: (1) April 2020 sample: p < 0.01 (age); p < 0.01 (sex), p < 0.01 (financial status), p < 0.1 (health status); (2) December 2020 sample: p < 0.01 (age); p < 0.05 (place of living), p < 0.1 (education), p < 0.1 (employment). Predictor levels not sharing the same superscript are significantly different at p < 0.05 using pairwise comparisons of predictive margins with Sidak's adjustment method.