Fine tuned personalized machine learning models to detect insomnia risk based on data from a smart bed platform

IntroductionInsomnia causes serious adverse health effects and is estimated to affect 10–30% of the worldwide population. This study leverages personalized fine-tuned machine learning algorithms to detect insomnia risk based on questionnaire and longitudinal objective sleep data collected by a smart bed platform.MethodsUsers of the Sleep Number smart bed were invited to participate in an IRB approved study which required them to respond to four questionnaires (which included the Insomnia Severity Index; ISI) administered 6 weeks apart from each other in the period from November 2021 to March 2022. For 1,489 participants who completed at least 3 questionnaires, objective data (which includes sleep/wake and cardio-respiratory metrics) collected by the platform were queried for analysis. An incremental, passive-aggressive machine learning model was used to detect insomnia risk which was defined by the ISI exceeding a given threshold. Three ISI thresholds (8, 10, and 15) were considered. The incremental model is advantageous because it allows personalized fine-tuning by adding individual training data to a generic model.ResultsThe generic model, without personalizing, resulted in an area under the receiving-operating curve (AUC) of about 0.5 for each ISI threshold. The personalized fine-tuning with the data of just five sleep sessions from the individual for whom the model is being personalized resulted in AUCs exceeding 0.8 for all ISI thresholds. Interestingly, no further AUC enhancements resulted by adding personalized data exceeding ten sessions.DiscussionThese are encouraging results motivating further investigation into the application of personalized fine tuning machine learning to detect insomnia risk based on longitudinal sleep data and the extension of this paradigm to sleep medicine

Annual Feedback Is an Effective Tool for a Sustained Increase in Calcium Intake among Older Women

We aimed to optimize calcium intake among the 2,000+ older women taking part in the Vital D study. Calcium supplementation was not included in the study protocol. Our hypothesis was that annual feedback of calcium intake and informing women of strategies to improve calcium intake can lead to a sustained increase in the proportion of women who consume adequate levels of the mineral. Calcium intake was assessed on an annual basis using a validated short food frequency questionnaire (FFQ). Supplemental calcium intake was added to the dietary estimate. Participants and their nominated doctor were sent a letter that the participant’s estimated daily calcium intake was adequate or inadequate based on a cutoff threshold of 800 mg/day. General brief statements outlining the importance of an adequate calcium intake and bone health were included in all letters. At baseline, the median daily consumption of calcium was 980 mg/day and 67 percent of 1,951 participants had calcium intake of at least 800 mg per day. Of the 644 older women advised of an inadequate calcium intake at baseline (<800 mg/day), 386 (60%) had increased their intake by at least 100 mg/day when re-assessed twelve months later. This desirable change was sustained at 24 months after baseline with almost half of these women (303/644) consuming over 800 mg calcium per day. This study devised an efficient method to provide feedback on calcium intake to over 2,000 older women. The improvements were modest but significant and most apparent in those with a low intake at baseline. The decreased proportion of these women with an inadequate intake of calcium 12- and 24-months later, suggests this might be a practical, low cost strategy to maintain an adequate calcium intake among older women

Global Influenza Seasonality: Reconciling Patterns across Temperate and Tropical Regions

Bac k g r o u n d: Despite the significant disease burden of the influenza virus in humans, our understanding of the basis for its pronounced seasonality remains incomplete. Past observations that influenza epidemics occur in the winter across temperate climates, combined with insufficient knowledge about the epidemiology of influenza in the tropics, led to the perception that cool and dry conditions were a necessary, and possibly sufficient, driver of influenza epidemics. Recent reports of substantial levels of influenza virus activity and well-defined seasonality in tropical regions, where warm and humid conditions often persist year-round, have rendered previous hypotheses insufficient for explaining global patterns of influenza. Objectiv e: In this review, we examined the scientific evidence for the seasonal mechanisms that potentially explain the complex seasonal patterns of influenza disease activity observed globally. Me t h o d s: In this review we assessed the strength of a range of hypotheses that attempt to explain observations of influenza seasonality across different latitudes and how they relate to each other. We reviewed studies describing population-scale observations, mathematical models, and ecological, laboratory, and clinical experiments pertaining to influenza seasonality. The literature review includes studies that directly mention the topic of influenza seasonality, as well as other topics w

Spousal involvement and CPAP adherence: A dyadic perspective

Poor adherence to continuous positive airway pressure (CPAP) treatment is associated with substantial health care costs, morbidity and mortality, and has been a leading obstacle in the effective management of obstructive sleep apnea (OSA). Successful interventions to improve CPAP adherence may ultimately include a variety of components. For patients living with spouses (refers to all domestic partners), the spouse will likely be an integral component to any successful intervention. Developing understanding of the role of spouses in adherence to CPAP has been identified to be a critical research need. This review expands the investigation of CPAP adherence to a broader context, from an exclusive focus on individual patients to a dyadic perspective encompassing both patients and their spouses. A conceptual framework based on social support and social control theories is proposed to understand spousal involvement in CPAP adherence. Methodologies for future investigations are discussed, along with implications for developing interventions that engage both patients and their spouses to improve CPAP use

Assessing the Influence of Obesity on Longitudinal Executive Functioning Performance in Patients with Obstructive Sleep Apnea Syndrome

Objective To investigate longitudinal performance on an executive functioning task among individuals with obstructive sleep apnea syndrome (OSAS) and the impact of obesity on performance. Methods Participants completed the Trail Making Test Part B (TMT-B), which is an executive functioning task that measured cognitive flexibility, at baseline, 3-, 6-, and 12-month follow-ups. Hierarchical linear modeling (HLM) analyses were used to assess participants’ initial performance on the task, as well the trajectories of growth on the task across time points. Additionally, body mass index (BMI) was included in the estimations of fixed and random effects as a predictor of performance. Results There were no significant differences between obese and non-obese individuals on the cognitive flexibility task at baseline. However, obese and non-obese individuals differed significantly in their linear and quadratic rates of growth across time points. Conclusions This study suggests that obese and non-obese individuals may differentially respond to Continuous Positive Airway Pressure (CPAP) treatment (as related to cognitive flexibility). Future research should examine the impact of weight loss on the neuropsychological sequelae of obese individuals with OSAS

Assessing the Influence of Obesity on Longitudinal Executive Functioning Performance in Patients with Obstructive Sleep Apnea Syndrome

Objective To investigate longitudinal performance on an executive functioning task among individuals with obstructive sleep apnea syndrome (OSAS) and the impact of obesity on performance. Methods Participants completed the Trail Making Test Part B (TMT-B), which is an executive functioning task that measured cognitive flexibility, at baseline, 3-, 6-, and 12-month follow-ups. Hierarchical linear modeling (HLM) analyses were used to assess participants’ initial performance on the task, as well the trajectories of growth on the task across time points. Additionally, body mass index (BMI) was included in the estimations of fixed and random effects as a predictor of performance. Results There were no significant differences between obese and non-obese individuals on the cognitive flexibility task at baseline. However, obese and non-obese individuals differed significantly in their linear and quadratic rates of growth across time points. Conclusions This study suggests that obese and non-obese individuals may differentially respond to Continuous Positive Airway Pressure (CPAP) treatment (as related to cognitive flexibility). Future research should examine the impact of weight loss on the neuropsychological sequelae of obese individuals with OSAS

The Association of Age, Insomnia, and Self-Efficacy with Continuous Positive Airway Pressure Adherence in Black, White, and Hispanic US Veterans

STUDY OBJECTIVES: Studies of continuous positive airway pressure (CPAP) adherence in multi-ethnic samples are lacking. This study explores previously described factors associated with therapeutic CPAP use in South Florida veterans with obstructive sleep apnea-hypopnea syndrome (OSAHS). METHODS: We performed a retrospective, cross-sectional analysis of CPAP adherence comparing white, black, and Hispanic veterans returning to the Miami VA sleep clinic over a 4-month period. Participants had CPAP use download and completed questionnaires on demographics, sleepiness, insomnia, and social cognitive measures related to adherence. Linear regression modeling was used to explore the impact of measured variables and potential interactions with race-ethnicity on mean daily CPAP use. RESULTS: Participants (N = 248) were 94% male with mean age of 59 ± 11 years and included 95 blacks (38%), 91 whites (37%), and 62 Hispanic (25%) veterans. Blacks had less mean daily CPAP use than whites (-1.6 h, p < 0.001) and Hispanics (-1.3 h, p < 0.01). Blacks reported worse sleep onset insomnia symptoms compared to whites. In the final multivariable regression model, black race-ethnicity (p < 0.01), insomnia symptoms (p < 0.001), and self-efficacy (p < 0.001) were significantly associated with mean daily CPAP use. In addition, the black race by age interaction term showed a trend towards significance (p = 0.10). CONCLUSIONS: In agreement with recent studies, we found that mean daily CPAP use in blacks was 1 hour less than whites after adjusting for covariates. No CPAP adherence differences were noted between whites and Hispanics. Further investigations exploring sociocultural barriers to regular CPAP use in minority individuals with OSAHS are needed. CITATION: Wallace DM; Shafazand S; Aloia MS; Wohlgemuth WK. The association of age, insomnia, and self-efficacy with continuous positive airway pressure adherence in black, white, and Hispanic US veterans. J Clin Sleep Med 2013;9(9):885-895