Skip to main content
. 2021 Mar 20;19:99. doi: 10.1186/s12955-021-01737-5

Table 5.

Overall unmet needs according to age group in the KNHANES 2013–2017

Variables Unmet needs, KNHANES 2013–2017
19–39 years 40–59 years  ≥ 60 years
OR 95% CI p OR 95% CI p OR 95% CI p
Sex
 Male 1.00 1.00 1.00
 Female 1.67 1.25 2.22 .001 1.60 1.25 2.06  < .001 1.55 1.26 1.90  < .001
Marital status
 Married-cohabiting 0.82 0.34 1.97 .651 1.63 1.07 2.50 .024 0.93 0.78 1.11 .426
 Married-no cohabiting, bereaved, or divorced 0.84 0.36 1.98 .692 1.71 1.11 2.64 .016 0.62 0.30 1.28 .200
 Unmarried 1.00 1.00 1.00
Number of family members
 1 1.10 0.75 1.62 .616 1.27 0.85 1.91 .239 0.88 0.61 1.28 .504
 2 0.87 0.61 1.23 .421 0.85 0.63 1.14 .280 0.74 0.55 0.99 .044
 3 0.92 0.63 1.34 .653 1.04 0.78 1.37 .804 1.06 0.82 1.37 .657
 4 1.20 0.78 1.83 .410 0.97 0.73 1.30 .854 0.83 0.65 1.07 .145
  ≥ 5 1.00 1.00 1.00
Education level
 Elementary school or less 1.74 1.13 2.67 .012 1.09 0.82 1.46 .548 0.87 0.38 2.02 .745
 Middle school 1.52 0.95 2.42 .080 0.94 0.72 1.22 .644 0.99 0.56 1.74 .977
 High school 1.45 0.92 2.28 .107 1.00 0.82 1.22 .989 1.01 0.84 1.21 .918
 College or over 1.00 1.00 1.00
Region
 Seoul 1.00 1.00 1.00
 Metro 1.00 0.80 1.24 .965 1.04 0.84 1.29 .717 1.14 0.93 1.40 .191
 Rural 0.86 0.66 1.12 .256 1.17 0.91 1.50 .215 1.03 0.82 1.30 .794
Employment status
 Employed 1.00 1.00 1.00
 Unemployed 1.53 1.17 2.01 .002 2.34 1.63 3.36  < .001 0.75 0.21 2.70 .657
Income
 1Q (lowest) 1.38 1.06 1.79 .018 1.26 0.99 1.60 .060 1.30 1.01 1.68 .040
 2Q 1.19 0.92 1.54 .190 1.05 0.84 1.32 .646 1.31 1.03 1.68 .031
 3Q 1.02 0.80 1.32 .850 1.03 0.81 1.31 .787 1.44 1.15 1.81 .002
 4Q (highest) 1.00 1.00 1.00
Occupation
 White collar 1.00 1.00 1.00
 Pink collar 1.06 0.60 1.87 .847 1.88 1.29 2.75 .001 0.56 0.15 2.04 .381
 Blue collar 1.27 0.73 2.19 .396 1.36 1.07 1.74 .013 1.08 0.81 1.44 .598
 Unemployed or other 1.16 0.64 2.09 .628 1.03 0.79 1.34 .814 0.84 0.65 1.10 .216
Medical insurance type
 NHI 1.00 1.00 1.00
 Medicaid 1.31 0.79 2.18 .291 1.05 0.40 2.75 .919 1.10 0.49 2.44 .819
 No/do not know 1.20 0.89 1.62 .238 0.95 0.61 1.47 .813 1.15 0.59 2.25 .685
Private insurance
 Yes 0.81 0.41 1.58 .530 1.47 0.39 5.52 .569 1.09 0.52 2.30 .821
 No 1.16 0.97 1.38 .098 1.18 0.91 1.53 .200 1.16 0.90 1.50 .244
 Do not know 1.00 1.00 1.00
Smoking history
 Current smoker 1.22 0.89 1.66 .211 1.34 1.03 1.74 .029 1.25 0.99 1.58 .061
 Past smoker 0.70 0.52 .93 .015 1.06 0.81 1.39 .653 1.01 0.78 1.30 .962
 Non-smoker 1.00 1.00 1.00
Alcohol consumption
 Never drink 1.00 1.00 1.00
 Less than 1 time per month 1.11 0.87 1.41 .410 0.72 0.57 0.93 .010 0.98 0.74 1.31 .904
 1–4 times per month 1.10 0.89 1.36 .368 1.03 0.84 1.25 .802 0.96 0.76 1.22 .757
  ≥ 5 times per month 1.08 0.86 1.35 .498 0.89 0.70 1.12 .313 0.71 0.53 0.96 .024
Body mass index (BMI)
 Normal weight (18.5 ≤ BMI < 25) 1.00 1.00
 Under weight (BMI < 18.5) 0.97 0.83 1.13 .689 0.97 0.82 1.15 .734 0.90 0.74 1.10 .300
 Obese (BMI ≥ 25) 0.93 0.60 1.45 .750 1.11 0.73 1.71 .618 1.22 0.91 1.65 .185
Exercise
 None 2.56 1.62 4.05  < .001 0.66 0.21 2.06 .473 2.03 0.23 17.92 .523
 Mild 1.38 1.13 1.67 .001 1.12 0.87 1.45 .385 1.79 1.23 2.59 .002
 High 1.00 1.00 1.00
Self-rated health
 Very poor 3.32 1.63 6.75 .001 4.40 2.29 8.48  < .001 4.77 2.75 8.25  < .001
 Poor 2.90 1.45 5.80 .003 2.85 1.62 5.04  < .001 2.47 1.06 5.78 .036
 Fair 2.35 1.18 4.71 .016 2.06 1.20 3.54 .009 2.38 1.42 3.99 .001
 Good 1.82 0.88 3.77 .108 1.36 0.76 2.40 .297 1.44 0.86 2.41 .168
 Very good 1.00 1.00 1.00
Stress level
 High 2.75 1.36 5.56 .005 1.62 0.41 6.46 .492 2.97 0.44 19.86 .261
 Moderate 1.90 0.94 3.85 .073 1.04 0.26 4.18 .954 2.07 0.31 13.90 .454
 Low 1.53 0.74 3.15 .246 0.64 0.16 2.62 .532 1.67 0.24 11.70 .604
 None 1.00 1.00 1.00
Pain
 None 1.00 1.00 1.00
 Mild 1.95 1.60 2.39  < .001 1.94 1.09 3.46 .024 1.69 0.52 5.43 .382
 Severe 2.17 1.60 2.96  < .001 2.15 1.79 2.58  < .001 2.04 1.65 2.51  < .001
 Depression
 Light 1.00 1.00 1.00
 Moderate 1.45 0.97 2.19 .072 2.99 1.33 6.74 .008 2.03 0.63 6.57 .236
 Severe 1.63 1.34 1.98  < .001 1.28 1.01 1.63 .043 1.57 1.22 2.01  < .001

Logistic regression analysis with complex sampling design was performed by adjusting for covariates

Model 1 was adjusted by sex, age, marital status, family number and education level

Model 2 was adjusted by Model 1 as well as region, economic activity, income, occupation, medical insurance type and private insurance

Model 3 was adjusted by Model 2 as well as smoking, drink, body mass index, exercise, self-rated health status, stress level, pain and depression

NHI National Health Insurance, Q quartile, OR odds ratio, CI confidence interval, OR 95%, CI 95%