Question · asked by 1 review

Country-level income inequality (Gini index) vs Lower vs higher income inequality categories: Oral health-related quality of life

Population
people aged 60 years and older living in the community
Intervention
Country-level income inequality (Gini index)
Comparison
Lower vs higher income inequality categories
Outcome
Oral health-related quality of life

Older adults in countries with relative income equality (low Gini index) had markedly higher OHRQoL (91.3, 95% CI 90.0 to 92.6) than those in less equal countries; the difference by Gini index was statistically significant (ungraded).

What each review found

Current versions only
No studies found 0 · 0%GRADE not reported 4 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
FindingEffectStudiesGRADE certainty
Country-level income inequality (Gini index) vs Lower vs higher income inequality categories
Oral health-related quality of life (OHRQoL sum score, transformed 0-100) · Community-dwelling elderly persons aged ≥60 years · Community-dwelling older adults across 25 countries, Relative equality (Gini index 0.21 to 0.30)
Older adults in countries with relative income equality (low Gini index) had markedly higher OHRQoL (91.3, 95% CI 90.0 to 92.6) than those in less equal countries; the difference by Gini index was statistically significant (ungraded).
Association between oral health-related quality of life and structural determinants of health among elderly… (2025) All outcomes
MEAN 91.3 [90.0, 92.6]Not reportedGRADE not reported
Country-level income inequality (Gini index) vs Lower vs higher income inequality categories
Oral health-related quality of life (OHRQoL sum score, transformed 0-100) · Community-dwelling elderly persons aged ≥60 years · Community-dwelling older adults across 25 countries, High inequality
Older adults in countries with relative income equality (low Gini index) had markedly higher OHRQoL (91.3, 95% CI 90.0 to 92.6) than those in less equal countries; the difference by Gini index was statistically significant (ungraded).
Association between oral health-related quality of life and structural determinants of health among elderly… (2025) All outcomes
MEAN 75.3 [67.1, 83.6]Not reportedGRADE not reported
Country-level income inequality (Gini index) vs Lower vs higher income inequality categories
Oral health-related quality of life (OHRQoL sum score, transformed 0-100) · Community-dwelling elderly persons aged ≥60 years · Community-dwelling older adults across 25 countries, Adequate equality
Older adults in countries with relative income equality (low Gini index) had markedly higher OHRQoL (91.3, 95% CI 90.0 to 92.6) than those in less equal countries; the difference by Gini index was statistically significant (ungraded).
Association between oral health-related quality of life and structural determinants of health among elderly… (2025) All outcomes
MEAN 75.4 [70.1, 82.7]Not reportedGRADE not reported
Country-level income inequality (Gini index) vs Lower vs higher income inequality categories
Oral health-related quality of life (OHRQoL sum score, transformed 0-100) · Community-dwelling elderly persons aged ≥60 years · Community-dwelling older adults across 25 countries, Severe inequality
Older adults in countries with relative income equality (low Gini index) had markedly higher OHRQoL (91.3, 95% CI 90.0 to 92.6) than those in less equal countries; the difference by Gini index was statistically significant (ungraded).
Association between oral health-related quality of life and structural determinants of health among elderly… (2025) All outcomes
MEAN 81.2 [75.3, 88.3]Not reportedGRADE not reported

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Association between oral health-related quality of life and structural determinants of health among elderly populations. a systematic…
2025 All outcomes
23 August 2024 (records from January 2014 onward)6Not applicable
How reviews are matched to this question

Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.