Barlow · Journal of personality 2020 · meta-analysis of observational studies · n=31 samples (421 effect sizes)

Goal adjustment capacities and quality of life: A meta-analytic review.

Cited 102 times in the scientific literature.

Level 1 - systematic review of randomized trials

Meta-analysis of observational studies (level 1 by design analogy)

PubMed 31131441 · doi:10.1111/jopy.12492 · record verified 2026-08-26

What was done

This meta-analysis synthesized 421 effect sizes (Fisher's Z) from 31 samples to assess the associations between goal adjustment capacities (goal disengagement and goal reengagement) and quality of life (well-being and health). The authors evaluated these associations using meta-analytic random-effects models and examined several moderators, including quality of life subtypes (positive vs. negative indicators), age, and depression risk status.

What was found

Both goal disengagement (r = 0.08, p < 0.01) and goal reengagement (r = 0.19, p < 0.01) were positively associated with overall quality of life. Goal disengagement was inversely related to negative well-being indicators (r = -0.12, p < 0.01) but was not significantly related to positive indicators (r = 0.02, p = 0.37). In contrast, goal reengagement showed significant associations with both positive (r = 0.24, p < 0.01) and negative (r = -0.17, p < 0.01) indicators. Goal disengagement was associated with fewer depressive symptoms overall (r = -0.11, p < 0.01), but this association reversed in samples at risk for depression (r = 0.08, p = 0.01). In addition, goal disengagement more strongly predicted quality of life in older samples (B = 0.003, p < 0.01).

Why it matters

This review clarifies the distinct self-regulatory functions of goal adjustment: giving up unattainable goals primarily reduces distress (especially in older adults), whereas identifying new goals actively fosters positive well-being. It also highlights a critical nuance: goal disengagement may not be protective, and could be detrimental, in individuals at risk for depression.

Limits

The abstract does not report the total participant count across the 31 samples, the specific primary study designs (e.g., cross-sectional vs. longitudinal), or assessments of publication bias. All pooled effect sizes are correlational and modest in magnitude (r = 0.08 to 0.24), precluding causal conclusions.

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