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. Author manuscript; available in PMC: 2024 Aug 26.
Published in final edited form as: J Affect Disord. 2022 Feb 15;303:273–285. doi: 10.1016/j.jad.2022.02.031

Table 4:

Socio-demographic predictors of any structural barrier among the subgroup with 12-month mental disorders who perceived a need for mental health care but did not access any, in the WMH Americas Surveys. Country effect vs. overall effect.

Variable Overall (n = 2650) Argentina (n = 234) Brazil (n = 431) Colombia (n = 430) Medellin, Colombia (n = 196) Mexico (n = 352) Peru (n = 203) United States (n = 804)
aORa (95% CI) aORa (95% CI) aORa (95% CI) aORa (95% CI) aORa (95% CI) aORa (95% CI) aORa (95% CI) aORa (95% CI)
Sex
Female 1.7* (1.2–2.3) 1.3 (0.6–3.0) 1.0 (0.6–1.7) 0.7 (0.4–1.2) 1.1 (0.5–2.7) 1.2 (0.7–2.4) 0.8 (0.3–2.1) 1.0 (0.7–1.5)
Male 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 -
χ21 (p-value) 10.1* (0.001) 0.4 (0.509) 0.0 (0.956) 2.1 (0.150) 0.0 (0.832) 0.5 (0.497) 0.2 (0.685) 0.0 (0.945)
Age
Age 18–34 1.0 (0.4–2.5) 0.4 (0.1–2.0) 0.7 (0.2–3.4) 0.3 (0.0–2.8) 1.6 (0.5–5.5) 0.4 (0.1–1.9) 0.7 (0.3–1.9) 25.4* (3.4–188.6)
Age 35–49 0.8 (0.3–1.9) 0.2* (0.0–0.9) 0.9 (0.2–4.3) 0.2 (0.0–2.4) 1.1 (0.4–3.2) 0.6 (0.1–2.7) 1.4 (0.5–3.8) 30.9* (4.6–208.3)
Age 50–64 0.9 (0.3–2.2) 0.8 (0.2–3.3) 0.6 (0.1–3.3) 0.3 (0.0–3.2) 1.0 - 0.4 (0.1–2.0) 1.0 - 18.8* (2.4–149.8)
Age ≥65 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 -
χ22–3 (p-value) 2.9 (0.409) 6.2 (0.104) 1.5 (0.688) 1.9 (0.588) 0.8 (0.676) 2.6 (0.458) 4.3 (0.115) 13.8* (0.003)
Education
Low 1.5 (0.9–2.5) 0.8 (0.3–2.8) 0.8 (0.3–2.3) 1.5 (0.6–4.0) 2.0 (0.3–15.9) 0.7 (0.3–1.6) 0.7 (0.2–3.0) 1.0 (0.5–2.1)
Low average 1.7* (1.1–2.7) 1.1 (0.3–4.0) 0.6 (0.2–1.6) 1.3 (0.5–3.5) 1.4 (0.4–5.0) 1.1 (0.5–2.7) 1.0 (0.2–4.0) 0.8 (0.4–1.5)
High average 1.8* (1.2–2.8) 0.7 (0.2–2.7) 1.3 (0.5–3.7) 0.9 (0.3–2.6) 1.5 (0.5–4.6) 1.1 (0.5–2.5) 0.8 (0.2–2.5) 0.8 (0.4–1.5)
High 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 -
χ23 (p-value) 8.5* (0.036) 0.6 (0.889) 4.3 (0.230) 1.3 (0.723) 0.8 (0.856) 1.8 (0.622) 0.4 (0.948) 1.0 (0.791)
Marital status
Married-cohabitating 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 -
Previously married 0.9 (0.6–1.2) 2.9* (1.0–8.1) 1.1 (0.5–2.3) 0.8 (0.3–2.0) 0.8 (0.3–2.3) 1.0 (0.4–2.4) 0.6 (0.2–1.7) 0.9 (0.5–1.6)
Never married 1.0 (0.7–1.3) 1.6 (0.6–3.8) 0.6 (0.3–1.3) 1.1 (0.6–2.1) 0.8 (0.4–1.8) 1.3 (0.6–2.6) 1.5 (0.6–3.7) 0.6 (0.4–1.1)
χ22 (p-value) 0.7 (0.714) 4.3 (0.117) 2.4 (0.303) 0.5 (0.791) 0.3 (0.841) 0.5 (0.788) 2.0 (0.367) 2.7 (0.256)
Income
Low 1.2 (0.8–1.7) 0.2* (0.1–0.6) 1.2 (0.5–2.6) 0.9 (0.5–1.6) 2.4 (0.9–6.9) 1.2 (0.5–2.5) 2.2 (0.7–7.2) 0.7 (0.4–1.3)
Low average 1.1 (0.7–1.6) 0.1* (0.0–0.5) 1.7 (0.7–4.2) 1.2 (0.5–3.3) 1.9 (0.4–8.6) 1.3 (0.6–2.8) 2.2 (0.9–5.2) 0.7 (0.3–1.4)
High average 0.9 (0.6–1.4) 0.2* (0.1–0.8) 0.9 (0.4–2.0) 0.9 (0.4–2.0) 2.4 (0.6–9.4) 0.8 (0.4–1.8) 3.6 (0.9–14.1) 0.8 (0.4–1.5)
High 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 -
χ23 (p-value) 2.8 (0.422) 11.9* (0.008) 2.0 (0.575) 0.7 (0.868) 3.0 (0.392) 1.4 (0.700) 4.4 (0.220) 1.4 (0.696)
Severity
Severe 2.5* (1.7–3.6) 1.8 (0.7–4.8) 0.9 (0.4–1.8) 1.0 (0.4–2.3) 1.7 (0.5–5.8) 0.7 (0.3–1.4) 0.5 (0.2–1.4) 1.0 (0.6–1.8)
Moderate 1.7* (1.2–2.4) 1.2 (0.4–3.3) 0.8 (0.4–1.7) 0.9 (0.4–1.8) 3.5* (1.1–11.2) 0.7 (0.3–1.3) 0.6 (0.3–1.3) 0.8 (0.5–1.4)
Mild 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 - 1.0 -
χ22 (p-value) 21.4* (<0.001) 1.7 (0.422) 0.4 (0.810) 0.2 (0.919) 6.5* (0.038) 1.6 (0.453) 2.2 (0.327) 1.3 (0.534)

Model Fit AIC = 1883.0

a

Data are given as adjusted odds ratios (95% confidence interval) unless otherwise indicated

*

Significant at p = .05, 2-sided test

Reference categories are denoted as 1.0 -; Age groups 50–64 and 65+ were collapsed for Peru and Medellin due to cells with zero-counts.

The degrees of freedom for each chi-square test is based upon the number of groups available in each main category

Note: each row shows a separate logistic regression model with any structural barrier as the outcome variable, controlling for the other predictor variables (rows), survey, and all predictor-by-survey interaction dummies. The second column shows the overall adjusted predictor variable effect; the survey columns show to what extent the survey-specific adjusted predictor variable effect deviates from the overall adjusted predictor variable effect. For example, the survey-specific effect for females (versus males) in Mexico can be obtained by multiplying the aOR = 1.6 (the overall effect) by the aOR = 1.3 (the country-specific deviation), i.e., aOR = 2.1

Models include controls for groups of 12-Month DSM-IV / WMH CIDI disorders (any anxiety, any mood, any substance, and any externalized)

Intermittent explosive disorder was not assessed in Mexico and Medellin, were coded as zero; Imputed variables for alcohol and drug dependence were used for Colombia, Mexico, Peru and the U.S.; Lifetime ADHD was used in all countries, and was coded as zero for those with age > 45 in Colombia, Mexico, Peru and the U.S.