A controlled study analyzing the temporal activity patterns of individuals with stroke compared to healthy adults

2019 ◽  
Vol 82 (5) ◽  
pp. 288-295
Author(s):  
İbrahim Yavuz Tatlı ◽  
Burcu Semin Akel

Introduction The understanding of the temporal pattern of individuals can add a wider perspective to interventions. Therefore, the present study is aimed toward analysis of the temporal activity pattern of individuals with stroke compared to healthy adults. Method This study is a prospective, case–control, analytic research study. The study sample comprised 50 individuals with stroke and 50 individuals without disease, for 80% power with a 5% type 1 error. The Modified Occupational Questionnaire was administered to assess the temporal activity pattern. Individuals identified the activities performed at each hour of the day and data was analyzed. Results The temporal activity pattern of individuals with stroke differed from healthy controls; education and play activities were not part of stroke participants’ daily routines. Also, participation in work, leisure and social participation activities was significantly different for people with stroke compared to healthy controls ( p < 0.01 ). The study group assigned very low values to the activities; the value perceived by individuals differed significantly between groups ( p < 0.01 ). Conclusion Clinicians are in a position to enable individuals’ time use and help to engage them in meaningful activity. Individuals with stroke may benefit from a program focusing on the temporal aspect of activities.

Author(s):  
Melike Şahinol ◽  
Gülşah Başkavak

AbstractThe conventional treatment of Type 1 Diabetes (T1D) is especially demanding for children, both physically and psychologically (Iversen et al. Int J Qual Stud Health Well-being,13(1), 1487758, 2018). Continuous Glucose Monitoring Systems (CGM) are an important aid for children and their families in dealing with the disease. In their work, however, Şahinol and Başkavak (2020) point out that CGM carry the risk of viewing T1D as a technologically solvable problem instead of considering the disease as a whole. This is mainly creating confidence in technology due to CGM experiences while neglecting significant dietary measures and exercises needed to be integrated into daily routines. During the current pandemic, this problem seems to take on a whole new level. Based on two periods of in-depth interviews and observations conducted with 8 families with T1D children aged 6 to 14 living in Istanbul and Ankara (Turkey) from May to November 2019 and again from May to June 2020, we compare and focus on the experiences prior to and during the pandemic time. We argue that despite the possibility of technological regulation of the disease, the vulnerability of children is increased and, more than ever, depends on socio-bio-technical entanglements.


2021 ◽  
Vol 3 (3) ◽  
pp. 366-376
Author(s):  
Lorenzo Tonetti ◽  
Federico Camilli ◽  
Sara Giovagnoli ◽  
Vincenzo Natale ◽  
Alessandra Lugaresi

Early multiple sclerosis (MS) predictive markers of disease activity/prognosis have been proposed but are not universally accepted. Aim of this pilot prospective study is to verify whether a peculiar hyperactivity, observed at baseline (T0) in early relapsing-remitting (RR) MS patients, could represent a further prognostic marker. Here we report results collected at T0 and at a 24-month follow-up (T1). Eighteen RRMS patients (11 females, median Expanded Disability Status Scale-EDSS score 1.25, range EDSS score 0–2) were monitored at T0 (mean age 32.33 ± 7.51) and T1 (median EDSS score 1.5, range EDSS score 0–2.5). Patients were grouped into two groups: responders (R, 14 patients) and non-responders (NR, 4 patients) to treatment at T1. Each patient wore an actigraph for one week to record the 24-h motor activity pattern. At T0, NR presented significantly lower motor activity than R between around 9:00 and 13:00. At T1, NR were characterized by significantly lower motor activity than R between around 12:00 and 17:00. Overall, these data suggest that through the 24-h motor activity pattern, we can fairly segregate at T0 patients who will show a therapeutic failure, possibly related to a more active disease, at T1. These patients are characterized by a reduced morning level of motor activation. Further studies on larger populations are needed to confirm these preliminary findings.


Angiology ◽  
2021 ◽  
pp. 000331972110100
Author(s):  
Lei Cao ◽  
Miao Hou ◽  
Wanping Zhou ◽  
Ling Sun ◽  
Jie Shen ◽  
...  

Type 1 diabetes (T1DM) is a strong risk factor for the development of cardiovascular disease. Flow-mediated dilatation (FMD) is an early noninvasive marker of endothelial function and it predicts future cardiovascular disease. However, the changes in FMD among T1DM children are still controversial. The present meta-analysis aimed to investigate whether FMD is impaired in children with T1DM. PubMed, EMBASE, Cochrane library, and Web of Science were searched for studies comparing FMD in children with T1DM and healthy controls. The Newcastle-Ottawa quality assessment scale for case–control studies was used to assess study quality. Data were pooled using a random effects models to obtain the weighted mean differences (WMD) in FMD and 95% CIs. Overall, 19 studies with 1245 patients and 872 healthy controls were included in this meta-analysis. Children with T1DM had significantly lower FMDs compared with healthy controls (WMD: −2.58; 95% CI: −3.36 to −1.81; P < .001). Meta-regression analysis revealed that low-density lipoprotein cholesterol levels impacted the observed difference in FMD between T1DM and healthy children. This meta-analysis showed that T1DM children have impaired endothelial function, which indicates they are at higher risk of developing cardiovascular disease in later life.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alexander Lind ◽  
Ilaria Marzinotto ◽  
Cristina Brigatti ◽  
Anita Ramelius ◽  
Lorenzo Piemonti ◽  
...  

AbstractAn increased incidence of narcolepsy type 1 (NT1) was observed in Scandinavia following the 2009–2010 influenza Pandemrix vaccination. The association between NT1 and HLA-DQB1*06:02:01 supported the view of the vaccine as an etiological agent. A/H1N1 hemagglutinin (HA) is the main antigenic determinant of the host neutralization antibody response. Using two different immunoassays, the Luciferase Immunoprecipitation System (LIPS) and Radiobinding Assay (RBA), we investigated HA antibody levels and affinity in an exploratory and in a confirmatory cohort of Swedish NT1 patients and healthy controls vaccinated with Pandemrix. HA antibodies were increased in NT1 patients compared to controls in the exploratory (LIPS p = 0.0295, RBA p = 0.0369) but not in the confirmatory cohort (LIPS p = 0.55, RBA p = 0.625). HA antibody affinity, assessed by competition with Pandemrix vaccine, was comparable between patients and controls (LIPS: 48 vs. 39 ng/ml, p = 0.81; RBA: 472 vs. 491 ng/ml, p = 0.65). The LIPS assay also detected higher HA antibody titres as associated with HLA-DQB1*06:02:01 (p = 0.02). Our study shows that following Pandemrix vaccination, HA antibodies levels and affinity were comparable NT1 patients and controls and suggests that HA antibodies are unlikely to play a role in NT1 pathogenesis.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Amy S. Shah ◽  
Scott Isom ◽  
Dana Dabelea ◽  
Ralph D’Agostino ◽  
Lawrence M. Dolan ◽  
...  

Abstract Aims To compare left ventricular structure (LV) and diastolic function in young adults with youth- onset diabetes by type, determine the prevalence of abnormal diastolic function by diabetes type using published values from age similar healthy controls, and examine the risk factors associated with diastolic function. Methods In a cross sectional analysis we compared LV structure and diastolic function from two dimensional echocardiogram in participants with type 1 (T1D) and type 2 diabetes (T2D) who participated in the SEARCH for Diabetes in Youth Study. Linear models were used to examine the risk factors associated with worse diastolic function. Results Of 479 participants studied, 258 had T1D (mean age 21.2 ± 5.2 years, 60.5% non-Hispanic white, 53.9% female) and 221 had T2D (mean age 24.8 ± 4.3 years, 24.4% non-Hispanic white, 73.8% female). Median diabetes duration was 11.6 years. Participants with T2D had greater LV mass index and worse diastolic function that persisted after adjustment for differences in risk factors compared with participants with T1D (all p < 0.05). Abnormal diastolic function, quantified using healthy controls, was pronounced in both groups but greater in those with T2D than T1D (T2D: 57.7% vs T1D: 47.2%, respectively), p < 0.05. Risk factors associated with worse diastolic function included older age at diabetes diagnosis, female sex, higher BP, heart rate and HbA1c and longer diabetes duration. Conclusions LV structure and diastolic function is worse in individuals with T2D compared to T1D. However, abnormal diastolic function in seen in both groups compared to published values from age similar healthy controls.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lior Rennert ◽  
Moonseong Heo ◽  
Alain H. Litwin ◽  
Victor De Gruttola

Abstract Background Beginning in 2019, stepped-wedge designs (SWDs) were being used in the investigation of interventions to reduce opioid-related deaths in communities across the United States. However, these interventions are competing with external factors such as newly initiated public policies limiting opioid prescriptions, media awareness campaigns, and the COVID-19 pandemic. Furthermore, control communities may prematurely adopt components of the intervention as they become available. The presence of time-varying external factors that impact study outcomes is a well-known limitation of SWDs; common approaches to adjusting for them make use of a mixed effects modeling framework. However, these models have several shortcomings when external factors differentially impact intervention and control clusters. Methods We discuss limitations of commonly used mixed effects models in the context of proposed SWDs to investigate interventions intended to reduce opioid-related mortality, and propose extensions of these models to address these limitations. We conduct an extensive simulation study of anticipated data from SWD trials targeting the current opioid epidemic in order to examine the performance of these models in the presence of external factors. We consider confounding by time, premature adoption of intervention components, and time-varying effect modification— in which external factors differentially impact intervention and control clusters. Results In the presence of confounding by time, commonly used mixed effects models yield unbiased intervention effect estimates, but can have inflated Type 1 error and result in under coverage of confidence intervals. These models yield biased intervention effect estimates when premature intervention adoption or effect modification are present. In such scenarios, models incorporating fixed intervention-by-time interactions with an unstructured covariance for intervention-by-cluster-by-time random effects result in unbiased intervention effect estimates, reach nominal confidence interval coverage, and preserve Type 1 error. Conclusions Mixed effects models can adjust for different combinations of external factors through correct specification of fixed and random time effects. Since model choice has considerable impact on validity of results and study power, careful consideration must be given to how these external factors impact study endpoints and what estimands are most appropriate in the presence of such factors.


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