Emotional value isn’t just about “whether it exists” — it’s about relationship quality
A meta-analysis of 126 studies involving over 72,000 participants shows that higher marriage quality correlates with better health. However, this link is quite weak — its magnitude is comparable to the effect of healthy behaviors like proper diet. What’s useful here is that relationship quality should be assessed through actual interactions rather than rigid criteria lists. There’s no direct data comparing outcomes for people in poor marriages versus those who remain unmarried.
No money required. Use a few conflicts and several months…
This same meta-analysis indicates that better marital quality leads to improved health outcomes, with effect s…
No money required. Use a few conflicts and several months of interaction to gauge relationship quality rather than simply checking off a list of criteria. The hard part is resisting the urge to judge based solely on that checklist.
This same meta-analysis indicates that better marital quality leads to improved health outcomes, with effect sizes ranging from r = 0.07 to r = 0.21. Here, r measures how closely two variables change together: 0 means no relationship, while 1 means perfect correlation. For instance, the risk of death correlates at r = 0.11, while cardiovascular responses during conflict correlate at r = −0.13. These figures are similar to those seen with lifestyle factors like diet. Research examining gender differences found virtually no variation between men and women. Reviews focused on cardiovascular health also confirm that both marital dissatisfaction and quality significantly influence risk levels.
Robles TF, et al. (2014). Marital quality and health: a meta-analytic review. Psychol Bull 140(1):140–187. https://doi.org/10.1037/a0031859；Dhindsa DS, et al. (2020). Marital status and outcomes in patients with cardiovascular disease. Trends Cardiovasc Med 30(4):215–220. https://doi.org/10.1016/j.tcm.2019.05.012
Open source linkThe controversy stems from the fact that this association remains relatively weak. Some findings may also be influenced by publication bias. Additionally, most studies rely on single-time assessments, making it hard to determine cause-and-effect relationships — limitations explicitly noted by Robles in his original work. No meta-analysis directly comparing mortality rates between individuals in low-quality marriages and unmarried individuals has been identified; thus, the claim that “poor marriages are worse than staying single” remains speculative rather than empirically proven.