GLORIA

GEOMAR Library Ocean Research Information Access

X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Associations Between Wearable-Specific Indicators of Physical Activity Behaviour and Insulin Sensitivity and Glycated Haemoglobin in the General Population: Results from the ORISCAV-LUX 2 Study
    Springer Science and Business Media LLC ; 2022
    In:  Sports Medicine - Open Vol. 8, No. 1 ( 2022-12)
    Details
    In: Sports Medicine - Open, Springer Science and Business Media LLC, Vol. 8, No. 1 ( 2022-12)
    Abstract: Parameters derived from an acceleration signal, such as the time accumulated in sedentary behaviour or moderate to vigorous physical activity (MVPA), may not be sufficient to describe physical activity (PA) which is a complex behaviour. Incorporating more advanced wearable-specific indicators of PA behaviour (WIPAB) may be useful when characterising PA profiles and investigating associations with health. We investigated the associations of novel objective measures of PA behaviour with glycated haemoglobin (HbA1c) and insulin sensitivity (Quicki index). Methods This observational study included 1026 adults (55% women) aged 18-79y who were recruited from the general population in Luxembourg. Participants provided ≥ 4 valid days of triaxial accelerometry data which was used to derive WIPAB variables related to the activity intensity, accumulation pattern and the temporal correlation and regularity of the acceleration time series. Results Adjusted general linear models showed that more time spent in MVPA and a higher average acceleration were both associated with a higher insulin sensitivity. More time accumulated in sedentary behaviour was associated with lower insulin sensitivity. With regard to WIPAB variables, parameters that were indicative of higher PA intensity, including a shallower intensity gradient and higher average accelerations registered during the most active 8 h and 15 min of the day, were associated with higher insulin sensitivity. Results for the power law exponent alpha, and the proportion of daily time accumulated in sedentary bouts  〉  60 min, indicated that activity which was characterised by long sedentary bouts was associated with lower insulin sensitivity. A greater proportion of time spent in MVPA bouts  〉  10 min was associated with higher insulin sensitivity. A higher scaling exponent alpha at small time scales ( 〈  90 min), which shows greater correlation in the acceleration time series over short durations, was associated with higher insulin sensitivity. When measured over the entirety of the time series, metrics that reflected a more complex, irregular and unpredictable activity profile, such as the sample entropy, were associated with lower HbA1c levels and higher insulin sensitivity. Conclusion Our investigation of novel WIPAB variables shows that parameters related to activity intensity, accumulation pattern, temporal correlation and regularity are associated with insulin sensitivity in an adult general population.
    Type of Medium: Online Resource
    ISSN: 2199-1170 , 2198-9761
    URL: Article
    DOI: 10.1186/s40798-022-00541-9
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2809942-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 2
    Online Resource
    Online Resource
    Digital Health Interventions among People Living with Frailty: A Scoping Review
    Elsevier BV ; 2021
    In:  Journal of the American Medical Directors Association Vol. 22, No. 9 ( 2021-09), p. 1802-1812.e21
    Details
    In: Journal of the American Medical Directors Association, Elsevier BV, Vol. 22, No. 9 ( 2021-09), p. 1802-1812.e21
    Type of Medium: Online Resource
    ISSN: 1525-8610
    URL: Article
    DOI: 10.1016/j.jamda.2021.04.012
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    Online Resource
    Online Resource
    Table_1.DOCX
    Frontiers Media SA ; 2023
    In:  Frontiers in Public Health Vol. 11 ( 2023-3-16)
    Details
    In: Frontiers in Public Health, Frontiers Media SA, Vol. 11 ( 2023-3-16)
    Abstract: Psychological disturbances are frequent following COVID-19. However, there is not much information about whether pre-existing psychological disorders are associated with the severity and evolution of COVID-19. We aimed to explore the associations between regular psychotropic medication use (PM) before infection as a proxy for mood or anxiety disorders with COVID-19 recovery trajectories. We used data from the Predi-COVID study. We followed adults, tested positive for SARS-CoV-2 and collected demographics, clinical characteristics, comorbidities and daily symptoms 14 days after inclusion. We calculated a score based on 16 symptoms and modeled latent class trajectories. We performed polynomial logistic regression with PM as primary exposure and the different trajectories as outcome. We included 791 participants, 51% were men, and 5.3% reported regular PM before infection. We identified four trajectories characterizing recovery dynamics: “Almost asymptomatic,” “Quick recovery,” “Slow recovery,” and “Persisting symptoms“. With a fully adjusted model for age, sex, socioeconomic, lifestyle and comorbidity, we observed associations between PM with the risks of being in more severe trajectories than “Almost Asymptomatic”: “Quick recovery” (relative risk (95% confidence intervals) 3.1 (2.7, 3.4), “Slow recovery” 5.2 (3.0, 9.2), and “Persisting symptoms“11.7 (6.9, 19.6) trajectories. We observed a gradient of risk between PM before the infection and the risk of slow or no recovery in the first 14 days. These results suggest that a pre-existing psychological condition increases the risk of a poorer evolution of COVID-19 and may increase the risk of Long COVID. Our findings can help to personalize the care of people with COVID-19.
    Type of Medium: Online Resource
    ISSN: 2296-2565
    URL: Article
    URL: Article
    DOI: 10.3389/fpubh.2023.1055440
    DOI: 10.3389/fpubh.2023.1055440.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2711781-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 4
    Online Resource
    Online Resource
    Co-Design of a Voice-Based Digital Health Solution to Monitor Persisting Symptoms Related to COVID-19 (UpcomingVoice Study): Protocol for a Mixed Methods Study
    JMIR Publications Inc. ; 2023
    In:  JMIR Research Protocols Vol. 12 ( 2023-6-19), p. e46103-
    Details
    In: JMIR Research Protocols, JMIR Publications Inc., Vol. 12 ( 2023-6-19), p. e46103-
    Abstract: Between 10% and 20% of people with a COVID-19 infection will develop the so-called long COVID syndrome, which is characterized by fluctuating symptoms. Long COVID has a high impact on the quality of life of affected people, who often feel abandoned by the health care system and are demanding new tools to help them manage their symptoms. New digital monitoring solutions could allow them to visualize the evolution of their symptoms and could be tools to communicate with health care professionals (HCPs). The use of voice and vocal biomarkers could facilitate the accurate and objective monitoring of persisting and fluctuating symptoms. However, to assess the needs and ensure acceptance of this innovative approach by its potential users—people with persisting COVID-19–related symptoms, with or without a long COVID diagnosis, and HCPs involved in long COVID care—it is crucial to include them in the entire development process. Objective In the UpcomingVoice study, we aimed to define the most relevant aspects of daily life that people with long COVID would like to be improved, assess how the use of voice and vocal biomarkers could be a potential solution to help them, and determine the general specifications and specific items of a digital health solution to monitor long COVID symptoms using vocal biomarkers with its end users. Methods UpcomingVoice is a cross-sectional mixed methods study and consists of a quantitative web-based survey followed by a qualitative phase based on semistructured individual interviews and focus groups. People with long COVID and HCPs in charge of patients with long COVID will be invited to participate in this fully web-based study. The quantitative data collected from the survey will be analyzed using descriptive statistics. Qualitative data from the individual interviews and the focus groups will be transcribed and analyzed using a thematic analysis approach. Results The study was approved by the National Research Ethics Committee of Luxembourg (number 202208/04) in August 2022 and started in October 2022 with the launch of the web-based survey. Data collection will be completed in September 2023, and the results will be published in 2024. Conclusions This mixed methods study will identify the needs of people affected by long COVID in their daily lives and describe the main symptoms or problems that would need to be monitored and improved. We will determine how using voice and vocal biomarkers could meet these needs and codevelop a tailored voice-based digital health solution with its future end users. This project will contribute to improving the quality of life and care of people with long COVID. The potential transferability to other diseases will be explored, which will contribute to the deployment of vocal biomarkers in general. Trial Registration ClinicalTrials.gov NCT05546918; https://clinicaltrials.gov/ct2/show/NCT05546918 International Registered Report Identifier (IRRID) DERR1-10.2196/46103
    Type of Medium: Online Resource
    ISSN: 1929-0748
    URL: Article
    DOI: 10.2196/46103
    Language: English
    Publisher: JMIR Publications Inc.
    Publication Date: 2023
    detail.hit.zdb_id: 2719222-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 5
    Online Resource
    Online Resource
    Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research
    JMIR Publications Inc. ; 2022
    In:  Interactive Journal of Medical Research Vol. 11, No. 2 ( 2022-11-15), p. e40655-
    Details
    In: Interactive Journal of Medical Research, JMIR Publications Inc., Vol. 11, No. 2 ( 2022-11-15), p. e40655-
    Abstract: The COVID-19 pandemic accelerated the use of remote patient monitoring in clinical practice or research for safety and emergency reasons, justifying the need for innovative digital health solutions to monitor key parameters or symptoms related to COVID-19 or Long COVID. The use of voice-based technologies, and in particular vocal biomarkers, is a promising approach, voice being a rich, easy-to-collect medium with numerous potential applications for health care, from diagnosis to monitoring. In this viewpoint, we provide an overview of the potential benefits and limitations of using voice to monitor COVID-19, Long COVID, and related symptoms. We then describe an optimal pipeline to bring a vocal biomarker candidate from research to clinical practice and discuss recommendations to achieve such a clinical implementation successfully.
    Type of Medium: Online Resource
    ISSN: 1929-073X
    URL: Article
    DOI: 10.2196/40655
    Language: English
    Publisher: JMIR Publications Inc.
    Publication Date: 2022
    detail.hit.zdb_id: 2697014-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 6
    Online Resource
    Online Resource
    Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 study
    Springer Science and Business Media LLC ; 2023
    In:  European Journal of Nutrition Vol. 62, No. 5 ( 2023-08), p. 2063-2085
    Details
    In: European Journal of Nutrition, Springer Science and Business Media LLC, Vol. 62, No. 5 ( 2023-08), p. 2063-2085
    Abstract: Diet quality is a critical modifiable factor related to health, including the risk of cardiometabolic complications. Rather than assessing the intake of individual food items, it is more meaningful to examine overall dietary patterns. This study investigated the adherence to common dietary indices and their association with serum/metabolic parameters of disease risk. Methods Dietary intakes of the general adult population ( n  = 1404, 25–79 years) were assessed by a validated food-frequency questionnaire (174 items). The French ANSES-Ciqual food composition database was used to compute nutrient intakes. Seven indicators were calculated to investigate participants’ diet quality: the Alternative Healthy Eating Index (AHEI), Dietary Approaches to Stop Hypertension Score (DASH-S), Mediterranean Diet Score (MDS), Diet Quality Index-International (DQI-I), Dietary Inflammatory Index (DII), Dietary Antioxidant Index (DAI), and Naturally Nutrient-Rich Score (NNRS). Various serum/metabolic parameters were used in the validity and association analyses, including markers of inflammation, blood glucose, and blood lipid status. Results Following linear regression models adjusted for confounders, the DASH-S was significantly associated with most metabolic parameters (14, e.g., inversely with blood pressure, triglycerides, urinary sodium, uric acid, and positively with serum vitamin D), followed by the DQI-I (13, e.g., total cholesterol, apo-A/B, uric acid, and blood pressure) and the AHEI (11, e.g., apo-A, uric acid, serum vitamin D, diastolic blood pressure and vascular age). Conclusion Food-group-based indices, including DASH-S, DQI-I, and AHEI, were good predictors for serum/metabolic parameters, while nutrient-based indices, such as the DAI or NNRS, were less related to biological markers and, thus, less suitable to reflect diet quality in a general population.
    Type of Medium: Online Resource
    ISSN: 1436-6207 , 1436-6215
    URL: Article
    DOI: 10.1007/s00394-023-03095-y
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 1463312-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 7
    Online Resource
    Online Resource
    Correction: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study
    Springer Science and Business Media LLC ; 2023
    In:  BMC Medical Research Methodology Vol. 23, No. 1 ( 2023-01-31)
    Details
    In: BMC Medical Research Methodology, Springer Science and Business Media LLC, Vol. 23, No. 1 ( 2023-01-31)
    Type of Medium: Online Resource
    ISSN: 1471-2288
    URL: Article
    DOI: 10.1186/s12874-023-01854-3
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2041362-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 8
    Online Resource
    Online Resource
    Substituting device-measured sedentary time with alternative 24-hour movement behaviours: compositional associations with adiposity and cardiometabolic risk in the ORISCAV-LUX 2 study
    Springer Science and Business Media LLC ; 2023
    In:  Diabetology & Metabolic Syndrome Vol. 15, No. 1 ( 2023-04-04)
    Details
    In: Diabetology & Metabolic Syndrome, Springer Science and Business Media LLC, Vol. 15, No. 1 ( 2023-04-04)
    Abstract: There is a considerable burden of sedentary time in European adults. We aimed to quantify the differences in adiposity and cardiometabolic health associated with theoretically exchanging sedentary time for alternative 24 h movement behaviours. Methods This observational cross-sectional study included Luxembourg residents aged 18–79 years who each provided  ≥ 4 valid days of triaxial accelerometry ( n  = 1046). Covariable adjusted compositional isotemporal substitution models were used to examine if statistically replacing device-measured sedentary time with more time in the sleep period, light physical activity (PA), or moderate-to-vigorous PA (MVPA) was associated with adiposity and cardiometabolic health markers. We further investigated the cardiometabolic properties of replacing sedentary time which was accumulated in prolonged (≥ 30 min) with non-prolonged ( 〈  30 min) bouts. Results Replacing sedentary time with MVPA was favourably associated with adiposity, high-density lipoprotein cholesterol, fasting glucose, insulin, and clustered cardiometabolic risk. Substituting sedentary time with light PA was associated with lower total body fat, fasting insulin, and was the only time-exchange to predict lower triglycerides and a lower apolipoprotein B/A1 ratio. Exchanging sedentary time with more time in the sleep period was associated with lower fasting insulin, and with lower adiposity in short sleepers. There was no significant evidence that replacing prolonged with non-prolonged sedentary time was related to outcomes. Conclusions Artificial time-use substitutions indicate that replacing sedentary time with MVPA is beneficially associated with the widest range of cardiometabolic risk factors. Light PA confers some additional and unique metabolic benefit. Extending sleep, by substituting sedentary time with more time in the sleep period, may lower obesity risk in short sleepers.
    Type of Medium: Online Resource
    ISSN: 1758-5996
    URL: Article
    DOI: 10.1186/s13098-023-01040-x
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2518786-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 9
    Online Resource
    Online Resource
    Unraveling the concepts of distress, burnout, and depression in type 1 diabetes: A scoping review
    Elsevier BV ; 2021
    In:  EClinicalMedicine Vol. 40 ( 2021-10), p. 101118-
    Details
    In: EClinicalMedicine, Elsevier BV, Vol. 40 ( 2021-10), p. 101118-
    Type of Medium: Online Resource
    ISSN: 2589-5370
    URL: Article
    DOI: 10.1016/j.eclinm.2021.101118
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2946413-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 10
    Online Resource
    Online Resource
    Intricate relationships between frailty and diabetes: where do we go from here?
    Elsevier BV ; 2020
    In:  The Lancet Healthy Longevity Vol. 1, No. 3 ( 2020-12), p. e92-e93
    Details
    In: The Lancet Healthy Longevity, Elsevier BV, Vol. 1, No. 3 ( 2020-12), p. e92-e93
    Type of Medium: Online Resource
    ISSN: 2666-7568
    URL: Article
    DOI: 10.1016/S2666-7568(20)30019-2
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 3049841-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...