Emmanuel Nyaaba , Emma AO. Sefa , Vanessa F. Epis , Lawrence Guodaar , Razak M. Gyasi
{"title":"加纳小型矿工睡眠问题与抑郁症状之间的关系","authors":"Emmanuel Nyaaba , Emma AO. Sefa , Vanessa F. Epis , Lawrence Guodaar , Razak M. Gyasi","doi":"10.1016/j.sleepe.2025.100112","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>Sleep problems (SP) are increasingly linked to poor mental health outcomes, yet limited research has explored this association among high-risk occupational groups in low- and middle-income countries (LMICs). We investigate the association between SP and depressive symptoms among small-scale miners in Ghana and explores whether emotional distress and anxiety explain this association.</div></div><div><h3>Methods</h3><div>We recruited 664 miners (mean age = 28.8, SD = 8.2 years; males = 84.3 %) in this study. SP was assessed using the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0), while depressive symptoms were measured using the PHQ-9. Emotional distress and anxiety were assessed using the MOS SF-36 scale and the GAD-7 scale, respectively. Multiple linear regressions and bootstrapping techniques evaluated the hypothesized direct and indirect associations.</div></div><div><h3>Results</h3><div>SP was significantly associated with higher levels of depressive symptoms (B = 0.171, p < 0.001), after adjustment. Crucially, emotional distress (53.06 %; B = 0.2447, 95 % CI [0.1739, 0.3221]), and anxiety (25.0 %; B = 0.1153, 95 % CI [0.0592, 0.1745]) partially accounted for the association between SP and depressive symptoms.</div></div><div><h3>Conclusions</h3><div>Poor sleep quality may be a clinical marker for depressive symptoms among small-scale miners, with emotional distress and anxiety as key psychological pathways. Integrated sleep-related screening and intervention strategies is needed in poor occupational health settings. Nevertheless, given the non-probability sampling approach used, some degree of selection bias cannot be ruled out, and findings should be interpreted with caution regarding their generalizability beyond the study communities.</div></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"5 ","pages":"Article 100112"},"PeriodicalIF":0.0000,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association between sleep problems and depressive symptoms among small-scale miners in Ghana\",\"authors\":\"Emmanuel Nyaaba , Emma AO. Sefa , Vanessa F. Epis , Lawrence Guodaar , Razak M. Gyasi\",\"doi\":\"10.1016/j.sleepe.2025.100112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>Sleep problems (SP) are increasingly linked to poor mental health outcomes, yet limited research has explored this association among high-risk occupational groups in low- and middle-income countries (LMICs). We investigate the association between SP and depressive symptoms among small-scale miners in Ghana and explores whether emotional distress and anxiety explain this association.</div></div><div><h3>Methods</h3><div>We recruited 664 miners (mean age = 28.8, SD = 8.2 years; males = 84.3 %) in this study. SP was assessed using the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0), while depressive symptoms were measured using the PHQ-9. Emotional distress and anxiety were assessed using the MOS SF-36 scale and the GAD-7 scale, respectively. Multiple linear regressions and bootstrapping techniques evaluated the hypothesized direct and indirect associations.</div></div><div><h3>Results</h3><div>SP was significantly associated with higher levels of depressive symptoms (B = 0.171, p < 0.001), after adjustment. Crucially, emotional distress (53.06 %; B = 0.2447, 95 % CI [0.1739, 0.3221]), and anxiety (25.0 %; B = 0.1153, 95 % CI [0.0592, 0.1745]) partially accounted for the association between SP and depressive symptoms.</div></div><div><h3>Conclusions</h3><div>Poor sleep quality may be a clinical marker for depressive symptoms among small-scale miners, with emotional distress and anxiety as key psychological pathways. Integrated sleep-related screening and intervention strategies is needed in poor occupational health settings. Nevertheless, given the non-probability sampling approach used, some degree of selection bias cannot be ruled out, and findings should be interpreted with caution regarding their generalizability beyond the study communities.</div></div>\",\"PeriodicalId\":74809,\"journal\":{\"name\":\"Sleep epidemiology\",\"volume\":\"5 \",\"pages\":\"Article 100112\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sleep epidemiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667343625000071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667343625000071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Association between sleep problems and depressive symptoms among small-scale miners in Ghana
Objective
Sleep problems (SP) are increasingly linked to poor mental health outcomes, yet limited research has explored this association among high-risk occupational groups in low- and middle-income countries (LMICs). We investigate the association between SP and depressive symptoms among small-scale miners in Ghana and explores whether emotional distress and anxiety explain this association.
Methods
We recruited 664 miners (mean age = 28.8, SD = 8.2 years; males = 84.3 %) in this study. SP was assessed using the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0), while depressive symptoms were measured using the PHQ-9. Emotional distress and anxiety were assessed using the MOS SF-36 scale and the GAD-7 scale, respectively. Multiple linear regressions and bootstrapping techniques evaluated the hypothesized direct and indirect associations.
Results
SP was significantly associated with higher levels of depressive symptoms (B = 0.171, p < 0.001), after adjustment. Crucially, emotional distress (53.06 %; B = 0.2447, 95 % CI [0.1739, 0.3221]), and anxiety (25.0 %; B = 0.1153, 95 % CI [0.0592, 0.1745]) partially accounted for the association between SP and depressive symptoms.
Conclusions
Poor sleep quality may be a clinical marker for depressive symptoms among small-scale miners, with emotional distress and anxiety as key psychological pathways. Integrated sleep-related screening and intervention strategies is needed in poor occupational health settings. Nevertheless, given the non-probability sampling approach used, some degree of selection bias cannot be ruled out, and findings should be interpreted with caution regarding their generalizability beyond the study communities.