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. 2017 Mar 14;14:31. doi: 10.1186/s12966-017-0487-x

Table 2.

Multivariable generalized linear models for annual medical service utilization and expenditure stratified by high and low SMMIa (n = 1337)

Total (n = 1337) Men (n = 689) Women (n = 648)
High risk Low risk High risk Low risk High risk Low risk
n (%) 330 (24.7) 1007 (75.3) 171 (24.8) 518 (75.2) 159 (24.5) 489 (75.5)
Deceased (%) 165 (50.0) 305 (30.3) 90 (52.6) 183 (35.3) 75 (47.2) 122 (25.0)
Medical service utilization
 Ambulatory care visits, timesb
  Outpatient services 25.1 (21.9)*** 28.7 (24.6) 25.4 (22.3) 26.8 (23.7) 24.7 (21.7)*** 30.7 (25.3)
  Preventive care 1.00 (0.93) 1.27 (1.16) 0.84 (0.82) 1.02 (0.98) 1.17 (1.08) 1.53 (1.46)
  Dental services 0.65 (0.14)*** 1.03 (0.42) 0.74 (0.14)*** 1.11 (0.46) 0.56 (0.14) 0.94 (0.30)
  Emergency 0.81 (0.31)* 0.57 (0.28) 0.83 (0.39)* 0.62 (0.29) 0.79 (0.29) 0.51 (0.27)
 Hospitalization, daysb 13.6 (2.15)*** 7.13 (1.32) 16.0 (2.58)*** 9.03 (1.45) 10.9 (1.52)*** 5.12 (1.18)
Medical service expenditure, 1000 NT$c
 Ambulatory cared
  Outpatient services 20.8 (16.4)** 25.9 (18.4) 23.2 (17.1) 26.0 (18.1) 18.3 (15.9)* 25.7 (18.8)
  Preventive care 0.21 (0.18)* 0.28 (0.24) 0.18 (0.15) 0.23 (0.19) 0.25 (0.20)* 0.34 (0.31)
  Dental services 0.54 (0.07)** 0.88 (0.29) 0.63 (0.06)* 0.98 (0.36) 0.44 (0.07) 0.77 (0.24)
  Emergency 2.80 (0.76)** 1.70 (0.51) 2.74 (0.80)** 1.77 (0.59) 2.87 (0.72) 1.62 (0.43)
 Hospitalizationd 77.5 (10.6)*** 38.7 (6.89) 79.6 (12.2)** 49.8 (8.03) 75.3 (6.50)*** 26.9 (5.86)
Total medical expenditured 102 (34.4)*** 67.4 (33.4) 106 (39.6) 78.8 (34.8) 97.2 (31.7)** 55.4 (32.2)

aThe high-risk group comprises participants with a lower SMMI (<11.4 kg/m2 for men and 8.50 kg/m2 for women). The low-risk group comprises participants with a normal SMMI and serves as a reference group

bMean (median). Outcome was assessed using GLMs with Poisson distribution

cNT$, with an exchange rate of approximately NT$31 to US$1 in 2017

dMean (median). Outcomes was assessed using GLMs with gamma distribution

Models were adjusted for age, region of residence, ethnicity, education level, living status, self-reported financial status, household income (NT$/mo), perceived health status, ADL, CCI, energy (kcal/d), protein (g/d), DDS (≤4 or > 4), and physical activity (<1.5 MET/day or ≥ 1.5 MET/day)

* P < 0.05, ** P < 0.01, *** P < 0.001