Tuberculosis stigma as a social determinant of health: a systematic mapping review of research in low incidence countries

Highlights •Tuberculosis (TB)-related stigma is an important social determinant of health that can impact health-seeking practices and illness management. •Much research on TB-related stigma has been conducted in high incidence countries. •This study aimed to systematically map out the research in low incidence countries. •Few studies included stigma as a substantive topic; only one study aimed to reduce stigma. •Both TB control programmes and media reporting were implicated in the production of stigma. •Few studies theorized how stigma intersects with the social and structural determinants of health. •Future interventions to reduce stigma would benefit from a stronger theoretical underpinning in relation to stigma and the intersection with the social determinants. Summary Tuberculosis (TB)-related stigma is an important social determinant of health. Research generally highlights how stigma can have a considerable impact on individuals and communities, including delays in seeking health care and adherence to treatment. There is scant research into the assessment of TB-related stigma in low incidence countries. This study aimed to systematically map out the research into stigma. A particular emphasis was placed on the methods employed to measure stigma, the conceptual frameworks used to understand stigma, and whether structural factors were theorized. Twenty-two studies were identified; the majority adopted a qualitative approach and aimed to assess knowledge, attitudes, and beliefs about TB. Few studies included stigma as a substantive topic. Only one study aimed to reduce stigma. A number of studies suggested that TB control measures and representations of migrants in the media reporting of TB were implicated in the production of stigma. The paucity of conceptual models and theories about how the social and structural determinants intersect with stigma was apparent. Future interventions to reduce stigma, and measurements of effectiveness, would benefit from a stronger theoretical underpinning in relation to TB stigma and the intersection between the social and structural determinants of health

The effects of high intensity interval training on quality of life: a systematic review and meta-analysis.

oai:repository.uel.ac.uk:8x31wAim: This study aimed to ascertain the impact of high intensity interval training (HIIT) on physical, mental, and overall quality of life (QoL) through a comprehensive systematic review and meta-analysis. Subject and Methods: A systematic search for relevant trials was performed via PubMed, the Cochrane Library and Web of science as well as the manual screening of prior meta-analyses and their respective reference lists (PROSPERO reference: CRD42022326576). Adult controlled trials investigating the effects of a >2-week HIIT intervention with an eligible non-intervention control group were considered. As the primary outcome, studies were required to include at least one measure of physical and/or mental and/or overall QoL, on any validated QoL domain, pre and post intervention. Results: Twenty-two studies with twenty-four effect sizes were included; seventeen comparing HIIT and overall QoL, fourteen comparing HIIT and physical QoL and thirteen studies comparing HIIT and mental QoL. There was a statistically significant improvement in physical (SMD= 0.405, 95% CI: 0.110- 0.700, p= 0.007), mental (SMD= 0.473, 95% CI: 0.043 –0.902, p=0.031) and overall QoL (SMD= 0.554, 95% CI 0.210-0.898, p=0.002) following a program of HIIT. Secondary analysis of 5 studies comparing HIIT against moderate intensity continuous training demonstrated no significant difference in improvement between the two modes (SMD= -0.094, CI= -0.506-0.318, p=0.655). Conclusion: Engaging in HIIT produces statistically significant improvements in physical, mental, and overall quality of life in clinical and non-clinical populations at a small to moderate effect size. Furthermore, HIIT appears as effective as MICT in improving overall QoL, offering a more time-efficient exercise option

Examining the relationship between work-related factors and work-family-related factors on work-family conflict

The current work-family conflict literature is characterized by limitations in focus and methodology, particularly with a failure to link work-family conflict with work-family policies. This study compares the influence of work-related factors and work-family related factors on work-family conflict in two directions. A local government organization in New Zealand was the setting. Findings show that work factors account for a significant component of both work-to-family and family-to-work conflict, although this is far greater on work-family conflict. Work-family practice use had little influence on work-family practices was found to positively associate with family-work conflict. Overall, the finds suggest managers in search of reducing employee conflict should focus directly upon work factors such as workload, rather than see to use work-family practices as the primary way to reduce conflict

How well do activity monitors estimate energy expenditure? A systematic review and meta-analysis

Objective: To determine the accuracy of wrist and arm-worn activity monitors’ estimates of energy expenditure (EE). Data sources: SportDISCUS (EBSCOHost), PubMed, MEDLINE (Ovid), PsycINFO (EBSCOHost), Embase (Ovid) and CINAHL (EBSCOHost). Design: A random effects meta-analysis was performed to evaluate the difference in EE estimates between activity monitors and criterion measurements. Moderator analyses were conducted to determine the benefit of additional sensors and to compare the accuracy of devices used for research purposes with commercially available devices. Eligibility criteria: We included studies validating EE estimates from wrist-worn or arm-worn activity monitors against criterion measures (indirect calorimetry, room calorimeters and doubly labelled water) in healthy adult populations. Results: 60 studies (104 effect sizes) were included in the meta-analysis. Devices showed variable accuracy depending on activity type. Large and significant heterogeneity was observed for many devices (I2 >75%). Combining heart rate or heat sensing technology with accelerometry decreased the error in most activity types. Research-grade devices were statistically more accurate for comparisons of total EE but less accurate than commercial devices during ambulatory activity and sedentary tasks. Conclusions: EE estimates from wrist and arm-worn devices differ in accuracy depending on activity type. Addition of physiological sensors improves estimates of EE, and research-grade devices are superior for total EE. These data highlight the need to improve estimates of EE from wearable devices, and one way this can be achieved is with the addition of heart rate to accelerometry. PROSPEROregistration number: CRD42018085016

Effect of orientation on broadband acoustic scattering of Antarctic krill Euphausia superba : implications for inverting zooplankton spectral

Author Posting. © Acoustical Society of America, 1998. This article is posted here by permission of Acoustical Society of America for personal use, not for redistribution. The definitive version was published in Journal of the Acoustical Society of America 104 (1998): 2121-2135, doi:10.1121/1.423726.Acoustic scattering experiments involving simultaneous acquisition of broadband echoes and video footage from several Antarctic krill were carried out to determine the effect of animal orientation on echo spectral structure. A novel video analysis technique, applied to extract krill angle of orientation corresponding to each insonification, revealed that echo spectra from krill near broadside incidence relative to the incident acoustic wave exhibited widely spaced, deep nulls, whereas off-broadside echo spectra had a more erratic structure, with several closely spaced nulls of variable depth. The pattern of changes in echo spectra with orientation for the experimentally measured acoustic returns was very similar to theoretically predicted patterns based on a distorted wave Born approximation (DWBA) model. Information contained in the broadband echo spectra of the krill was exploited to invert the acoustic returns for angle of orientation by applying a newly developed Covariance Mean Variance Classification (CMVC) approach, using generic and animal-specific theoretical and empirical model spaces. The animal-specific empirical model space was best able to invert for angle of orientation. The CMVC inversion technique can be implemented using a generic empirical model space to determine angle of orientation based on broadband echoes from individual zooplankton in the field.L.V.MT.’s research was supported by the Ocean Acoustics, Oceanic Biology and URIP programs of the Office of Naval Research Grant Nos. N00014-89-J-1729, N00014-95-1-0287, and N00014-92-J-1527, the Biological Oceanography program of the National Science Foundation Grant No. OCE-9201264, and the WHOI/MIT Joint Program Education Office

A novel scaling methodology to reduce the biases associated with missing data from commercial activity monitors

Background Commercial physical activity monitors have wide utility in the assessment of physical activity in research and clinical settings, however, the removal of devices results in missing data and has the potential to bias study conclusions. This study aimed to evaluate methods to address missingness in data collected from commercial activity monitors. Methods This study utilised 1526 days of near complete data from 109 adults participating in a European weight loss maintenance study (NoHoW). We conducted simulation experiments to test a novel scaling methodology (NoHoW method) and alternative imputation strategies (overall/individual mean imputation, overall/individual multiple imputation, Kalman imputation and random forest imputation). Methods were compared for hourly, daily and 14-day physical activity estimates for steps, total daily energy expenditure (TDEE) and time in physical activity categories. In a second simulation study, individual multiple imputation, Kalman imputation and the NoHoW method were tested at different positions and quantities of missingness. Equivalence testing and root mean squared error (RMSE) were used to evaluate the ability of each of the strategies relative to the true data. Results The NoHoW method, Kalman imputation and multiple imputation methods remained statistically equivalent (p<0.05) for all physical activity metrics at the 14-day level. In the second simulation study, RMSE tended to increase with increased missingness. Multiple imputation showed the smallest RMSE for Steps and TDEE at lower levels of missingness (<19%) and the Kalman and NoHoW methods were generally superior for imputing time in physical activity categories. Conclusion Individual centred imputation approaches (NoHoW method, Kalman imputation and individual Multiple imputation) offer an effective means to reduce the biases associated with missing data from activity monitors and maximise data retention

Structural neural networks subserving oculomotor function in first-episode schizophrenia

BACKGROUND: Smooth pursuit and antisaccade abnormalities are well documented in schizophrenia, but their neuropathological correlates remain unclear. METHODS: In this study, we used statistical parametric mapping to investigate the relationship between oculomotor abnormalities and brain structure in a sample of first-episode schizophrenia patients (n = 27). In addition to conventional volumetric magnetic resonance imaging, we also used magnetization transfer ratio, a technique that allows more precise tissue characterization. RESULTS: We found that smooth pursuit abnormalities were associated with reduced magnetization transfer ratio in several regions, predominantly in the right prefrontal cortex. Antisaccade errors correlated with gray matter volume in the right medial superior frontal cortex as measured by conventional magnetic resonance imaging but not with magnetization transfer ratio. CONCLUSIONS: These preliminary results demonstrate that specific structural abnormalities are associated with abnormal eye movements in schizophrenia

A Mathematical Model for the Dynamics and Synchronization of Cows

We formulate a mathematical model for daily activities of a cow (eating, lying down, and standing) in terms of a piecewise affine dynamical system. We analyze the properties of this bovine dynamical system representing the single animal and develop an exact integrative form as a discrete-time mapping. We then couple multiple cow "oscillators" together to study synchrony and cooperation in cattle herds. We comment on the relevant biology and discuss extensions of our model. With this abstract approach, we not only investigate equations with interesting dynamics but also develop interesting biological predictions. In particular, our model illustrates that it is possible for cows to synchronize \emph{less} when the coupling is increased.Comment: to appear in Physica

A Synoptic Overview of Expert Opinion on Fisheries in a Post-Brexit World

Publisher PD

Analytical expressions for inductances of 3D air core inductors for integrated power supply

This work presents analytical expressions for the DC inductance of 3D air core inductors with circular cross section pillars (CCSP) and rectangular cross section pillars (RCSP). We consider the following four types of inductor structures: (1) a toroid with CCSP; (2) a toroid with RCSP; (3) a solenoid with RCSP; and (4) a solenoid with CCSP. For each type, a unique analytical model is developed for obtaining DC inductance. High frequency (1-100 MHz) effects on inductance are also discussed. The inductance values predicted by the proposed analytical models of the first three types of inductor structures are in an acceptable agreement with numerical Finite Element Analysis (FEA) solutions, where the maximum difference is 7.3%. Also, our analytical model for the fourth type inductor reduces the error, when correlated with FEA inductance value, up to 6× compared to previously published models. A comparison of results using proposed analytical expressions with published measured values as well as our measurement data demonstrates error ranging from 0.5 to 16.2%, while conventional formulae show errors of up to 143%. The results of the proposed models could serve as a good initial estimate for power supply on chip (PwrSoC) and power supply in package (PSiP) applications