This　study　aims　to　be　the　first　to　use　meta-analysis　to　explore　the　relationship　between　meaning　in　life　(MIL)　and　mental　health　issues　among　older　adults.　A　meta-analysis　was　conducted　using　six　databases,　resulting　in　16　studies　with　5,074　participants　in　total.　The　＂metacor＂　and　＂forestplot＂　packages　in　R-Studio　were　used　for　data　analysis.　The　total　effect　was　calculated　using　a　random-effects　model,　with　I2　=　86%　in　the　heterogeneity　test.　The　results　showed　a　moderate　negative　correlation　between　MIL　and　mental　health　issues　among　older　adults,　with　an　average　effect　of　-0.37.　Five　potential　moderating　variables　were　examined:　the　conceptualization　of　MIL　(value　vs.　purpose),　region　(Asian　vs.　Western　countries),　residence　status　(community　vs.　nursing　home　vs.　hospital),　types　of　mental　health　issues,　and　evaluation　methods　(clinical　vs.　non-clinical).　The　first　four　had　no　significant　moderating　effect.　The　mean　correlation　coefficients　between　mental　health　issues　and　value/purpose　were　-0.49/-0.33;　the　mean　correlation　coefficients　in　Asian　countries　and　Western　countries　were　-0.48　and　-0.34;　the　mean　correlation　coefficients　among　participants　living　in　community/nursing　home/mixed　status　were　-0.33/-0.40/-0.40;　the　mean　correlation　coefficients　between　MIL　and　depression/others　were　-0.37/-0.35;　however,　the　negative　relationship　between　MIL　and　mental　health　issues　was　stronger　when　non-clinical　evaluations　(self-report　only)　were　used.　Specifically,　the　mean　correlation　coefficient　for　non-clinical　evaluations　was　-0.42　and　for　clinical　evaluations　was　-0.29.　This　study　is　the　first　meta-analysis　to　identify　the　negative　correlation　between　older　adults＇　MIL　and　mental　health　issues.　Significant　moderating　effects　of　evaluation　methods　were　found.