scholarly journals The association between self-reported stress and cardiovascular measures in daily life: A systematic review

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259557
Author(s):  
Thomas Vaessen ◽  
Aki Rintala ◽  
Natalya Otsabryk ◽  
Wolfgang Viechtbauer ◽  
Martien Wampers ◽  
...  

Background Stress plays an important role in the development of mental illness, and an increasing number of studies is trying to detect moments of perceived stress in everyday life based on physiological data gathered using ambulatory devices. However, based on laboratory studies, there is only modest evidence for a relationship between self-reported stress and physiological ambulatory measures. This descriptive systematic review evaluates the evidence for studies investigating an association between self-reported stress and physiological measures under daily life conditions. Methods Three databases were searched for articles assessing an association between self-reported stress and cardiovascular and skin conductance measures simultaneously over the course of at least a day. Results We reviewed findings of 36 studies investigating an association between self-reported stress and cardiovascular measures with overall 135 analyses of associations between self-reported stress and cardiovascular measures. Overall, 35% of all analyses showed a significant or marginally significant association in the expected direction. The most consistent results were found for perceived stress, high-arousal negative affect scales, and event-related self-reported stress measures, and for frequency-domain heart rate variability physiological measures. There was much heterogeneity in measures and methods. Conclusion These findings confirm that daily-life stress-dynamics are complex and require a better understanding. Choices in design and measurement seem to play a role. We provide some guidance for future studies.

1996 ◽  
Vol 1 (3) ◽  
pp. 166-179 ◽  
Author(s):  
Bo Molander ◽  
Lars Bäckman

Highly skilled miniature golf players were examined in a series of field and laboratory studies. The principal finding from these studies is that young and young adult players (range = 15-38 years) score equally well or better in competition than in training whereas older adult players (range = 46-73 years) perform worse in competitive events than under training conditions. It was also found that the impairment in motor performance on the part of the older players is associated with age-related deficits in basic cognitive abilities, such as memory and attention. These results support the hypothesis that older players may be able to compensate for age-related deficits under relaxed conditions, but not under conditions of high arousal. The possibility of improving the performance of the older players in stressful situations by means of various intervention programs is discussed.


Toxics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 140
Author(s):  
Francesca Borghi ◽  
Andrea Spinazzè ◽  
Simone Mandaglio ◽  
Giacomo Fanti ◽  
Davide Campagnolo ◽  
...  

Recently, the need to assess personal exposure in different micro-environments has been highlighted. Further, estimating the inhaled dose of pollutants is considerably one of the most interesting parameters to be explored to complete the fundamental information obtained through exposure assessment, especially if associated with a dose-response approach. To analyze the main results obtained from the studies related to the estimation of the inhaled dose of pollutants in different micro-environments (environments in which an individual spends a part of his day), and to identify the influence of different parameters on it, a systematic review of the literature was performed. The principal outcomes from the considered studies outlined that (i) exposure concentration and residence time are among the most important parameters to be evaluated in the estimation of the inhaled dose, especially in transport environments. Further, (ii) the pulmonary ventilation rate can be of particular interest during active commuting because of its increase, which increases the inhalation of pollutants. From a methodological point of view, the advent of increasingly miniaturized, portable and low-cost technologies could favor these kinds of studies, both for the measurement of atmospheric pollutants and the real-time evaluation of physiological parameters used for estimation of the inhaled dose. The main results of this review also show some knowledge gaps. In particular, numerous studies have been conducted for the evaluation (in terms of personal exposure and estimation of the inhaled dose) of different PM fractions: other airborne pollutants, although harmful to human health, are less represented in studies of this type: for this reason, future studies should be conducted, also considering other air pollutants, not neglecting the assessment of exposure to PM. Moreover, many studies have been conducted indoors, where the population spends most of their daily time. However, it has been highlighted how particular environments, even if characterized by a shorter residence time, can contribute significantly to the dose of inhaled pollutants. These environments are, therefore, of particular importance and should be better evaluated in future studies, as well as occupational environments, where the work results in a high pulmonary ventilation rate. The attention of future studies should also be focused on these categories of subjects and occupational studies.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Marie-Camille Patoz ◽  
Diego Hidalgo-Mazzei ◽  
Bruno Pereira ◽  
Olivier Blanc ◽  
Ingrid de Chazeron ◽  
...  

Abstract Background Despite an increasing number of available mental health apps in the bipolar disorder field, these tools remain scarcely implemented in everyday practice and are quickly discontinued by patients after downloading. The aim of this study is to explore adherence characteristics of bipolar disorder patients to dedicated smartphone interventions in research studies. Methods A systematic review following PRISMA guidelines was conducted. Three databases (EMBASE, PsychInfo and MEDLINE) were searched using the following keywords: "bipolar disorder" or "mood disorder" or “bipolar” combined with “digital” or “mobile” or “phone” or “smartphone” or “mHealth” or “ehealth” or "mobile health" or “app” or “mobile-health”. Results Thirteen articles remained in the review after exclusion criteria were applied. Of the 118 eligible studies, 39 did not provide adherence characteristics. Among the selected papers, study length, sample size and definition of measures of adherence were strongly heterogeneous. Activity rates ranged from 58 to 91.6%. Conclusion The adherence of bipolar patients to apps is understudied. Standardised measures of adherence should be defined and systematically evaluated in future studies dedicated to these tools.


2021 ◽  
Vol 147 ◽  
pp. 111287
Author(s):  
Evan Campbell ◽  
Fanny Petermann-Rocha ◽  
Paul Welsh ◽  
Carlos Celis-Morales ◽  
Jill P. Pell ◽  
...  

2021 ◽  
Vol 13 (4) ◽  
pp. 95
Author(s):  
Geneci da Silva Ribeiro Rocha ◽  
Letícia de Oliveira ◽  
Edson Talamini

Blockchain is a technology that can be applied in different sectors to solve various problems. As a complex system, agribusiness presents many possibilities to take advantage of blockchain technology. The main goal of this paper is to identify the purposes for which blockchain has been applied in the agribusiness sector, for which a PRISMA-based systematic review was carried out. The scientific literature corpus was accessed and selected from Elsevier’s Scopus and ISI of Knowledge’s Web of Science (WoS) platforms, using the PRISMA protocol procedures. Seventy-one articles were selected for analysis. Blockchain application in agribusiness is a novel topic, with the first publication dating from 2016. The technological development prevails more than blockchain applications since it has been addressed mainly in the Computer Sciences and Engineering. Blockchain applications for agribusiness management of financial, energy, logistical, environmental, agricultural, livestock, and industrial purposes have been reported in the literature. The findings suggest that blockchain brings many benefits when used in agribusiness supply chains. We concluded that the research on blockchain applications in agribusiness is only at an early stage, as many prototypes are being developed and tested in the laboratory. In the near future, blockchain will be increasingly applied across all economic sectors, including agribusiness, promoting greater reliability and agility in information with a reduced cost. Several gaps for future studies were observed, with significant value for science, industry, and society.


Author(s):  
Falk Schwendicke ◽  
Akhilanand Chaurasia ◽  
Lubaina Arsiwala ◽  
Jae-Hong Lee ◽  
Karim Elhennawy ◽  
...  

Abstract Objectives Deep learning (DL) has been increasingly employed for automated landmark detection, e.g., for cephalometric purposes. We performed a systematic review and meta-analysis to assess the accuracy and underlying evidence for DL for cephalometric landmark detection on 2-D and 3-D radiographs. Methods Diagnostic accuracy studies published in 2015-2020 in Medline/Embase/IEEE/arXiv and employing DL for cephalometric landmark detection were identified and extracted by two independent reviewers. Random-effects meta-analysis, subgroup, and meta-regression were performed, and study quality was assessed using QUADAS-2. The review was registered (PROSPERO no. 227498). Data From 321 identified records, 19 studies (published 2017–2020), all employing convolutional neural networks, mainly on 2-D lateral radiographs (n=15), using data from publicly available datasets (n=12) and testing the detection of a mean of 30 (SD: 25; range.: 7–93) landmarks, were included. The reference test was established by two experts (n=11), 1 expert (n=4), 3 experts (n=3), and a set of annotators (n=1). Risk of bias was high, and applicability concerns were detected for most studies, mainly regarding the data selection and reference test conduct. Landmark prediction error centered around a 2-mm error threshold (mean; 95% confidence interval: (–0.581; 95 CI: –1.264 to 0.102 mm)). The proportion of landmarks detected within this 2-mm threshold was 0.799 (0.770 to 0.824). Conclusions DL shows relatively high accuracy for detecting landmarks on cephalometric imagery. The overall body of evidence is consistent but suffers from high risk of bias. Demonstrating robustness and generalizability of DL for landmark detection is needed. Clinical significance Existing DL models show consistent and largely high accuracy for automated detection of cephalometric landmarks. The majority of studies so far focused on 2-D imagery; data on 3-D imagery are sparse, but promising. Future studies should focus on demonstrating generalizability, robustness, and clinical usefulness of DL for this objective.


2020 ◽  
Vol 28 (1) ◽  
pp. 386-404 ◽  
Author(s):  
C. F. Davies ◽  
R. Macefield ◽  
K. Avery ◽  
J. M. Blazeby ◽  
S. Potter

Abstract Background Breast reconstruction (BR) is performed to improve outcomes for patients undergoing mastectomy. A recently developed core outcome set for BR includes six patient-reported outcomes that should be measured and reported in all future studies. It is vital that any instrument used to measure these outcomes as part of a core measurement set be robustly developed and validated so data are reliable and accurate. The aim of this systematic review is to evaluate the development and measurement properties of existing BR patient-reported outcome measures (PROMs) to inform instrument selection for future studies. Methods A PRISMA-compliant systematic review of development and validation studies of BR PROMs was conducted to assess their measurement properties. PROMs with adequate content validity were assessed using three steps: (1) the methodological quality of each identified study was assessed using the COSMIN Risk of Bias checklist; (2) criteria were applied for assessing good measurement properties; and (3) evidence was summarized and the quality of evidence assessed using a modified GRADE approach. Results Fourteen articles reported the development and measurement properties of six PROMs. Of these, only three (BREAST-Q, BRECON-31, and EORTC QLQ-BRECON-23) were considered to have adequate content validity and proceeded to full evaluation. This showed that all three PROMs had been robustly developed and validated and demonstrated adequate quality. Conclusions BREAST-Q, BRECON-31, and EORTC QLQ-BRECON-23 have been well-developed and demonstrate adequate measurement properties. Work with key stakeholders is now needed to generate consensus regarding which PROM should be recommended for inclusion in a core measurement set.


2008 ◽  
Vol 36 (01) ◽  
pp. 1-24 ◽  
Author(s):  
Tianfang Wang ◽  
Qunhao Zhang ◽  
Xiaolin Xue ◽  
Albert Yeung

Studies on the treatment of chronic fatigue syndrome (CFS) with acupuncture and moxibustion in China were reviewed. All studies concluded the treatments were effective, with response rates ranging from 78.95% to 100%. However, the qualities of the studies were generally poor, and none of them used a RCT design. The common acupoints/sites used in the treatment of CFS, which may reflect the collective experience of acupuncturists in China based on Traditional Chinese Medicine theories can be used to evaluate the effectiveness of acupuncture for the treatment of CFS in future studies using more scientifically rigorous study designs.


PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e62688 ◽  
Author(s):  
Dina Collip ◽  
Johanna T. W. Wigman ◽  
Inez Myin-Germeys ◽  
Nele Jacobs ◽  
Catherine Derom ◽  
...  

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