Francisco Romo-Nava, Helen J Burgess, Thomas J Blom, Georgi Georgiev, Jakyb Stoddard, Elly McMillan, Nicole N Mori, Christina Charnas, Anna I Guerdjikova, Robert K McNamara, Jeffrey A Welge, Carlos M Grilo, Frank A J L Scheer, Susan L McElroy
{"title":"家庭昏暗灯光下褪黑素在肥胖成人中的起效评估:可行性和程序考虑。","authors":"Francisco Romo-Nava, Helen J Burgess, Thomas J Blom, Georgi Georgiev, Jakyb Stoddard, Elly McMillan, Nicole N Mori, Christina Charnas, Anna I Guerdjikova, Robert K McNamara, Jeffrey A Welge, Carlos M Grilo, Frank A J L Scheer, Susan L McElroy","doi":"10.1093/sleepadvances/zpaf047","DOIUrl":null,"url":null,"abstract":"<p><strong>Study objectives: </strong>Dim light melatonin onset (DLMO) is the best-established marker of central circadian phase and may contribute to unraveling the role of the circadian system in obesity. This study evaluated DLMO among individuals with obesity using a home-based assessment and explored its clinical correlates and procedural variations.</p><p><strong>Method: </strong>Fifty-eight women (mean [SD] age 40.9 [7.8] years) and body mass index (41.4 [6.6] kg/m<sup>2</sup>) completed a home-based DLMO assessment, measures of sleep quality, diurnal preference, and cardiometabolic parameters. Procedural variations we explored included individualized versus standardized DLMO thresholds, 7 versus 3 days assessment of sleep onset timing (SOT), as well as diary-based, actigraphy-based, or a \"combined\" method to calculate SOT, and hourly versus half-hourly saliva sample data points. Correlation coefficients and univariate ANOVA models were used for statistical analysis. Bland-Altman plots were used to inform agreement between methods.</p><p><strong>Results: </strong>DLMO was detected in 98.2% and 89.6% of participants using an individualized or a standardized threshold, respectively. DLMO correlated with SOT but not with body mass index, cardiometabolic parameters, sleep quality, or diurnal preference. A later SOT and a larger phase angle of entrainment (DLMO-SOT) correlated with younger age and with eveningness. Most procedural alternatives showed good agreement with the original methods.</p><p><strong>Conclusions: </strong>Home-based assessment yielded a high rate of detectable DLMO in women with obesity. Diurnal preference was not correlated with central circadian phase, suggesting that other factors (e.g. behavioral, sociodemographic) may be relevant in chronotype assessment in this population. We offer implications for future research including procedural variations to consider.</p>","PeriodicalId":74808,"journal":{"name":"Sleep advances : a journal of the Sleep Research Society","volume":"6 3","pages":"zpaf047"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12413864/pdf/","citationCount":"0","resultStr":"{\"title\":\"Home-based dim light melatonin onset assessment among adults with obesity: feasibility and procedural considerations.\",\"authors\":\"Francisco Romo-Nava, Helen J Burgess, Thomas J Blom, Georgi Georgiev, Jakyb Stoddard, Elly McMillan, Nicole N Mori, Christina Charnas, Anna I Guerdjikova, Robert K McNamara, Jeffrey A Welge, Carlos M Grilo, Frank A J L Scheer, Susan L McElroy\",\"doi\":\"10.1093/sleepadvances/zpaf047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Study objectives: </strong>Dim light melatonin onset (DLMO) is the best-established marker of central circadian phase and may contribute to unraveling the role of the circadian system in obesity. This study evaluated DLMO among individuals with obesity using a home-based assessment and explored its clinical correlates and procedural variations.</p><p><strong>Method: </strong>Fifty-eight women (mean [SD] age 40.9 [7.8] years) and body mass index (41.4 [6.6] kg/m<sup>2</sup>) completed a home-based DLMO assessment, measures of sleep quality, diurnal preference, and cardiometabolic parameters. Procedural variations we explored included individualized versus standardized DLMO thresholds, 7 versus 3 days assessment of sleep onset timing (SOT), as well as diary-based, actigraphy-based, or a \\\"combined\\\" method to calculate SOT, and hourly versus half-hourly saliva sample data points. Correlation coefficients and univariate ANOVA models were used for statistical analysis. Bland-Altman plots were used to inform agreement between methods.</p><p><strong>Results: </strong>DLMO was detected in 98.2% and 89.6% of participants using an individualized or a standardized threshold, respectively. DLMO correlated with SOT but not with body mass index, cardiometabolic parameters, sleep quality, or diurnal preference. A later SOT and a larger phase angle of entrainment (DLMO-SOT) correlated with younger age and with eveningness. Most procedural alternatives showed good agreement with the original methods.</p><p><strong>Conclusions: </strong>Home-based assessment yielded a high rate of detectable DLMO in women with obesity. Diurnal preference was not correlated with central circadian phase, suggesting that other factors (e.g. behavioral, sociodemographic) may be relevant in chronotype assessment in this population. We offer implications for future research including procedural variations to consider.</p>\",\"PeriodicalId\":74808,\"journal\":{\"name\":\"Sleep advances : a journal of the Sleep Research Society\",\"volume\":\"6 3\",\"pages\":\"zpaf047\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12413864/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sleep advances : a journal of the Sleep Research Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/sleepadvances/zpaf047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep advances : a journal of the Sleep Research Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/sleepadvances/zpaf047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
Home-based dim light melatonin onset assessment among adults with obesity: feasibility and procedural considerations.
Study objectives: Dim light melatonin onset (DLMO) is the best-established marker of central circadian phase and may contribute to unraveling the role of the circadian system in obesity. This study evaluated DLMO among individuals with obesity using a home-based assessment and explored its clinical correlates and procedural variations.
Method: Fifty-eight women (mean [SD] age 40.9 [7.8] years) and body mass index (41.4 [6.6] kg/m2) completed a home-based DLMO assessment, measures of sleep quality, diurnal preference, and cardiometabolic parameters. Procedural variations we explored included individualized versus standardized DLMO thresholds, 7 versus 3 days assessment of sleep onset timing (SOT), as well as diary-based, actigraphy-based, or a "combined" method to calculate SOT, and hourly versus half-hourly saliva sample data points. Correlation coefficients and univariate ANOVA models were used for statistical analysis. Bland-Altman plots were used to inform agreement between methods.
Results: DLMO was detected in 98.2% and 89.6% of participants using an individualized or a standardized threshold, respectively. DLMO correlated with SOT but not with body mass index, cardiometabolic parameters, sleep quality, or diurnal preference. A later SOT and a larger phase angle of entrainment (DLMO-SOT) correlated with younger age and with eveningness. Most procedural alternatives showed good agreement with the original methods.
Conclusions: Home-based assessment yielded a high rate of detectable DLMO in women with obesity. Diurnal preference was not correlated with central circadian phase, suggesting that other factors (e.g. behavioral, sociodemographic) may be relevant in chronotype assessment in this population. We offer implications for future research including procedural variations to consider.