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flammatory effects on the nasal epithelium or the respiratory tract could be observed under the study conditions described here.
Work disability (WD) is a medico-legal concept that refers to disability benefits (DB) granted due to diseases. We assessed whether subjective cognitive complaints (SCC)-presenting as self-rated difficulties of concentration, memory, clear thinking, and decision making-predict permanent WD in knowledge-intensive occupations.
In this prospective cohort study with up to 7-year follow-up, we combined the SCC questionnaire results with reliable registry data on the DBs of 7161 professional/managerial employees (46% females). We excluded employees who were on long-term sickness absence (SA) or had received a DB at baseline. The exposure variable was the presence of SCC. Age and SA before the questionnaire as a proxy measure of general health were treated as confounders and the analyses were conducted by gender. The outcome variable was a granted DB. The cumulative incidence function illustrates the difference between SCC categories, and the Fine-Gray model estimates the predictors of WD during the 8-year follow-up.
The annual incidence of DB was 0.15% in the entire cohort 0.18% among the females, and 0.12% among the males (p = 0.795). The most common primary reasons for permanent WD were mental (36%) and musculoskeletal (20%) disorders. SCC predicted DB in both genders when controlling for age and prior SA. Hazard ratios were 2.9 with a 95% confidence interval 1.4-6.0 for the females and 3.7 (1.8-7.9) for the males.
Subjective cognitive complaints predict permanent WD in knowledge-intensive occupations. This finding has implications for supporting work ability and preventing work disability among employees with cognitively demanding tasks.
Subjective cognitive complaints predict permanent WD in knowledge-intensive occupations. This finding has implications for supporting work ability and preventing work disability among employees with cognitively demanding tasks.
Associations between subjective life expectancy (SLE) and a variety of factors are well documented, but the relationship regarding cancer is limited. The purpose of this study was to disclose this potential relationship and identify the covariates that might influence this relationship.
Data were extracted from the China Health and Retirement Longitudinal Study (CHARLS), and a sample of 448 cancer survivors and 43,795 individuals without cancer were analyzed. Multilevel mixed-effects logistic regression was performed to examine the SLE associated with cancer survivors and participants without cancer after controlling for demographic, socioeconomic, health-related, and psychosocial factors.
The findings revealed that cancer survivors had a 39% reduction in longer life expectancy compared to respondents without cancer. Disparities in SLE existed based on diverse individual characteristics. The rate of high SLE in urban citizens was 75% higher compared to that of rural residents, while the rate of high SLEbjective life expectancy and certain characteristics in cancer survivors.A novel aptasensor has been fabricated based on the resonance energy transform (RET) system from MoS2QDs-PATP/PTCA (donor) to NH2-UiO-66 (acceptor). The electrochemiluminescence (ECL) signal of PTCA was greatly amplified due to the decoration of MoS2QDs-PATP, and the NH2-UiO-66 was utilized to label the signal probe DNA (pDNA), which hybridizes with the exposed aptamer anchored on the surface of MoS2QDs-PATP/PTCA. With the target acetamiprid, the specific binding of acetamiprid to aptamer causes the connection between the donor and the acceptor to be interrupted and produce an “on” ECL signal. Thus, an “off-on” ECL sensing platform for sensitive and selective acetamiprid assay was designed. Under the optimal condition, the ECL signal of the aptasensor was found to be linearly related to the logarithm of the acetamiprid concentration ranging from 0.1 fM to 0.1 μM with a detection limit of 0.064 fM. More importantly, the recovery rate of the ECL aptasensor was calculated to be 98.7 ~ 106% with a RSD lower 5.1% for the residual acetamiprid assay in real food samples, which indicated that the aptasensor has high potential for practical applications.In this work, an ultrasensitive sensing system based on fluorescent carbon dots (CDs) was developed for the tartrazine (Tar) determination. The CDs were prepared via a simple one-pot hydrothermal method with m-phenylenediamine as the only precursor. The physical and chemical properties were in detail characterized by transmission electron microscopy (TEM), MALDI-TOF MS, UV-vis absorption and photoluminescence (PL) spectroscopy, elemental analysis, and Fourier transform infrared spectroscopy (FTIR). Upon exposure to Tar, the fluorescence of CDs was efficiently quenched via the dynamic interaction between CDs and Tar as well as the inner filter effect (IFE). With this information, the CDs were proposed as a fluorescence probe for Tar detection. It was found that CDs had high sensitivity and selectivity for Tar sensing, and the linear relationship was observed in the range of 0.01-25.0 μM with the corresponding detection limit (3σ/k) of 12.4 nM, which is much more sensitive than any of the existed CD-based sensing platform. The investigated sensing system was finally utilized for Tar sensing in various food matrices with a high degree of accuracy. The spiked recoveries were in a range of 96.4-105.2%, and the relative standard deviations (RSDs) were lower than 4.13%. This work highlights the great application prospects of CDs for Tar sensing in a rapid, simple, and sensitive way.Perovskite materials have attracted attention due to their excellent optical and electrical properties; however, their unsatisfactory stability limits their application in biochemical detection. In this paper, CsPbBr3 perovskite quantum dots were successfully encapsulated in poly(styrene/acrylamide) microspheres, using a swelling-shrinking method. The manufactured perovskite microspheres (PDPS composites) not only maintained strong photoluminescence (PL) stability but also demonstrated great water solubility. Additionally, a real-time pH monitoring platform was constructed based on the prepared PDPS composites and dopamine, and the system showed a good linear relationship in a pH range of 4-12. Furthermore, urea could be hydrolyzed to produce hydroxyl groups, thereby increasing the pH of the solution. Therefore, this system was then extended for urea and urease detection. learn more As a result, the detection limits of urea and urease were recorded as 1.67 μM and 2.1 mU/mL, respectively. This development provides an interesting demonstration of the expanding list of applications of perovskite materials.