89 research outputs found
Can Simply Answering Research Questions Change Behaviour? Systematic Review and Meta Analyses of Brief Alcohol Intervention Trials
BACKGROUND: Participant reports of their own behaviour are critical for the provision and evaluation of behavioural interventions. Recent developments in brief alcohol intervention trials provide an opportunity to evaluate longstanding concerns that answering questions on behaviour as part of research assessments may inadvertently influence it and produce bias. The study objective was to evaluate the size and nature of effects observed in randomized manipulations of the effects of answering questions on drinking behaviour in brief intervention trials. METHODOLOGY/PRINCIPAL FINDINGS: Multiple methods were used to identify primary studies. Between-group differences in total weekly alcohol consumption, quantity per drinking day and AUDIT scores were evaluated in random effects meta-analyses. Ten trials were included in this review, of which two did not provide findings for quantitative study, in which three outcomes were evaluated. Between-group differences were of the magnitude of 13.7 (-0.17 to 27.6) grams of alcohol per week (approximately 1.5 U.K. units or 1 standard U.S. drink) and 1 point (0.1 to 1.9) in AUDIT score. There was no difference in quantity per drinking day. CONCLUSIONS/SIGNIFICANCE: Answering questions on drinking in brief intervention trials appears to alter subsequent self-reported behaviour. This potentially generates bias by exposing non-intervention control groups to an integral component of the intervention. The effects of brief alcohol interventions may thus have been consistently under-estimated. These findings are relevant to evaluations of any interventions to alter behaviours which involve participant self-report
Normal parameter reduction algorithm in soft set based on hybrid binary particle swarm and biogeography optimizer
© 2019, Springer-Verlag London Ltd., part of Springer Nature. Existing classification techniques that are proposed previously for eliminating data inconsistency could not achieve an efficient parameter reduction in soft set theory, which effects on the obtained decisions. Meanwhile, the computational cost made during combination generation process of soft sets could cause machine infinite state, which is known as nondeterministic polynomial time. The contributions of this study are mainly focused on minimizing choices costs through adjusting the original classifications by decision partition order and enhancing the probability of searching domain space using a developed Markov chain model. Furthermore, this study introduces an efficient soft set reduction-based binary particle swarm optimized by biogeography-based optimizer (SSR-BPSO-BBO) algorithm that generates an accurate decision for optimal and sub-optimal choices. The results show that the decision partition order technique is performing better in parameter reduction up to 50%, while other algorithms could not obtain high reduction rates in some scenarios. In terms of accuracy, the proposed SSR-BPSO-BBO algorithm outperforms the other optimization algorithms in achieving high accuracy percentage of a given soft dataset. On the other hand, the proposed Markov chain model could significantly represent the robustness of our parameter reduction technique in obtaining the optimal decision and minimizing the search domain.Published versio
Genetic determinants of risk in pulmonary arterial hypertension: international genome-wide association studies and meta-analysis
Background Rare genetic variants cause pulmonary arterial hypertension, but the contribution of common genetic
variation to disease risk and natural history is poorly characterised. We tested for genome-wide association for pulmonary
arterial hypertension in large international cohorts and assessed the contribution of associated regions to outcomes.
Methods We did two separate genome-wide association studies (GWAS) and a meta-analysis of pulmonary arterial
hypertension. These GWAS used data from four international case-control studies across 11744 individuals with
European ancestry (including 2085 patients). One GWAS used genotypes from 5895 whole-genome sequences and
the other GWAS used genotyping array data from an additional 5849 individuals. Cross-validation of loci reaching
genome-wide significance was sought by meta-analysis. Conditional analysis corrected for the most significant variants
at each locus was used to resolve signals for multiple associations. We functionally annotated associated variants and
tested associations with duration of survival. All-cause mortality was the primary endpoint in survival analyses.
Findings A locus near SOX17 (rs10103692, odds ratio 1·80 [95% CI 1·55–2·08], p=5·13×10–
¹⁵) and a second locus in
HLA-DPA1 and HLA-DPB1 (collectively referred to as HLA-DPA1/DPB1 here; rs2856830, 1·56 [1·42–1·71],
p=7·65×10–
²⁰) within the class II MHC region were associated with pulmonary arterial hypertension. The SOX17 locus
had two independent signals associated with pulmonary arterial hypertension (rs13266183, 1·36 [1·25–1·48],
p=1·69×10–
¹²; and rs10103692). Functional and epigenomic data indicate that the risk variants near SOX17 alter gene
regulation via an enhancer active in endothelial cells. Pulmonary arterial hypertension risk variants determined
haplotype-specific enhancer activity, and CRISPR-mediated inhibition of the enhancer reduced SOX17 expression. The
HLA-DPA1/DPB1 rs2856830 genotype was strongly associated with survival. Median survival from diagnosis in
patients with pulmonary arterial hypertension with the C/C homozygous genotype was double (13·50 years [95% CI
12·07 to >13·50]) that of those with the T/T genotype (6·97 years [6·02–8·05]), despite similar baseline disease severity.
Interpretation This is the first study to report that common genetic variation at loci in an enhancer near SOX17 and in
HLA-DPA1/DPB1 is associated with pulmonary arterial hypertension. Impairment of SOX17 function might be more
common in pulmonary arterial hypertension than suggested by rare mutations in SOX17. Further studies are needed
to confirm the association between HLA typing or rs2856830 genotyping and survival, and to determine whether HLA
typing or rs2856830 genotyping improves risk stratification in clinical practice or trials.
Funding UK NIHR, BHF, UK MRC, Dinosaur Trust, NIH/NHLBI, ERS, EMBO, Wellcome Trust, EU, AHA,
ACClinPharm, Netherlands CVRI, Dutch Heart Foundation, Dutch Federation of UMC, Netherlands OHRD and
RNAS, German DFG, German BMBF, APH Paris, INSERM, Université Paris-Sud, and French ANR
Análisis del estilo de dirección como factor de riesgo en la motivación de las ONGs
En la presente comunicación se analiza, partiendo del modelo de Likert sobre los estilos de dirección, el grado en que los trabajadores de las organizaciones no lucrativas (ONGs) muestran una mayor motivación ante estilos de dirección más o menos participativos. Se utilizan dos muestras de trabajadores: una de 356 empleados de empresas lucrativas y otra de 279 trabajadores de ONGs. Los hallazgos de la investigación confirman la hipótesis de que los empleados de las empresas lucrativas se encuentran más motivados cuando son dirigidos mediante un estilo participativo y refutan la hipótesis relativa a los trabajadores de organizaciones no lucrativas. En este colectivo de trabajadores no parece existir una correlación significativa entre el estilo de dirección y el nivel de motivación de los empleados: el nivel de motivación bajo un estilo autoritario es similar al nivel de motivación bajo un estilo participativo.This study, according to Likert's theory, analyzes the relationships between employees participation and motivation in for-profit and non-for-profit organizations. Two samples of workers were used: 356 for-profit and 279 non-for-profit. The findings support hypothesis that, in business (for-profit) organizations, motivation and participation show a significant correlation and do not support the same hypothesis for non-for-profit organizations. The employees of non-for-profit organizations do not show greater levels of motivation with a more participative management style than with a less participative style
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