A statistical approach to the problem of negatives in input-output analysis

Models;econometrics

Disability transitions in Dutch community-dwelling older people aged 75 years or older

BackgroundRecent world population predictions show that the world population aged >=65 years will increase from 10% in 2022 to 16% in 2050. Population aging is accompanied by an increase in people with disability. It is important to pay special attention to people with disability, as these people are at high risk of adverse outcomes. Our study aimed to investigate the transitions of disability among Dutch community-dwelling older people aged 75 years or older, using a follow-up of nine years. We used socio-demographic factors gender, age, marital status, education, and income, but also lifestyle, diseases, and life events to predict the disability transitions over time.MethodsWe used a sample of 484 people that was randomly drawn from the municipality of Roosendaal (the Netherlands), a municipality with 78,000 inhabitants. A subset of people who completed part A of the Tilburg Frailty Indicator (TFI) at baseline and the Groningen Activity Restriction Scale (GARS) questionnaires was used with a nine-year follow-up. Paired Wilcoxon tests were used to compare the consecutive measurements. Socio-demographic factors gender, age, marital status, education, and income, but also lifestyle, diseases, and life events were included to predict the disability transitions over time. For the univariable and multivariable analysis of the measurements over time with the predictor variables, we used generalized estimation equations (GEE). A p-value <0.05 was considered significant. R version 3.4.4 was used for all analyses.ResultsOf the participants, 65% were younger than 80 years, 50% were married or cohabiting, 87% reported a healthy lifestyle, and 63% had no diseases or chronic disorders. Each year, more participants changed from status not disabled to disabled than vice versa. The GEE analyses showed that lifestyle (‘not healthy’) and diseases or chronic disorders (‘two or more’) were significant in the multivariable analysis for the disability score and only diseases or chronic disorders (‘two or more’) was significant in the multivariable analysis for the dichotomous disability score.ConclusionsThe transition of the disability score is strongly influenced by lifestyle and diseases or disorders. This applies to a lesser extent to the dichotomous disability score. There, only diseases or disorders are an important predictor. For health care professionals our study provides starting points for interventions focused on the prevention of worsening disability and for community-dwelling older people >= 75, the most important recommendation is: live healthy

Unfolding Webs - The Dynamics of Regional Rural Development

Rural development stems from combining a wide range of different and often refigured rural resources in new ways. As a result these resources flow into new activities, interactions, transactions and networks. The effects of this become particularly significant when activities and relationships start to mutually reinforce each other. This is when synergy is created; especially when new town-countryside relations emerge that support the newly emerging activities and networks

In Vivo Bacterial Morphogenetic Protein Interactions

This chapter will discuss none-invasive techniques that are widely used to study protein-protein interactions. As an example, their application in exploring interactions between proteins involved in bacterial cell division will be evaluated. First, bacterial morphology and cell division of the rod-shaped bacterium Escherichia coli will be introduced. Next, three bacterial two-hybrid methods and three Förster resonance energy transfer detection methods that are frequently applied to detect interactions between proteins will be described and discussed in detail. The chapter concludes with a discussion about the application and results of the techniques when studying proteins involved in cell division

Chapter In vivo bacterial morphogenetic protein interactions

Aquaculture & fish-farming: practice & technique

Lumbar supports and education for the prevention of low back pain in industry - A randomized controlled trial

CONTEXT Low back pain is a frequent and costly health problem. Prevention of low back pain is important both for the individual patient and from an economic perspective. OBJECTIVE To assess the efficacy of lumbar supports and education in the prevention of low back pain in industry. DESIGN A randomized controlled trial with a factorial design. SETTING The cargo department of an airline company in the Netherlands. PARTICIPANTS A total of 312 workers were randomized, of whom 282 were available for the 6-month follow-up. INTERVENTIONS Subjects were randomly assigned to 4 groups: (1) education (lifting instructions) and lumbar support, (2) education, (3) lumbar support, and (4) no intervention. Education consisted of 3 group sessions on lifting techniques with a total duration of 5 hours. Lumbar supports were recommended to be used during working hours for 6 months. MAIN OUTCOME MEASURES Low back pain incidence and sick leave because of back pain during the 6-month intervention period. RESULTS Compliance with wearing the lumbar support at least half the time was 43%. In the 282 subjects for whom data were available, no statistically significant differences in back pain incidence (48 [36%] of 134 with lumbar support vs 51 [34%] of 148 without, P=.81) or in sick leave because of low back pain (mean, 0.4 days per month with lumbar support vs 0.4 days without, P=.52) were found among the intervention groups. In a subgroup of subjects with low back pain at baseline, lumbar supports reduced the number of days with low back pain per month (median, 1.2 vs 6.5 days per month; P=.03). CONCLUSIONS Overall, lumbar supports or education did not lead to a reduction in low back pain incidence or sick leave. The results of the subgroup analysis need to be confirmed by future research. Based on our results, the use of education or lumbar supports cannot be recommended in the prevention of low back pain in industry

Prediction of Medical Outcomes with Modern Modelling Techniques

Het doel van dit onderzoek is te onderzoeken onder welke omstandigheden en onder welke condities relatief moderne modelleringstechnieken zoals support vector machines, neural networks en random forests voordelen zouden kunnen hebben in medisch-wetenschappelijk onderzoek en in de medische praktijk in vergelijking met meer traditionele modelleringstechnieken, zoals lineaire regressie, logistische regressie en Cox regressie

‘Our happy hour became a hungry hour': logging, subsistence and social relations in Solomon Islands

Solomon Islands has relied on highly unsustainable industrial logging since the 1980s. While the development narrative around logging emphasizes its macro-economic importance, it structurally overlooks the impacts on local people’s lives. Based on 200 qualitative interviews conducted in 25 villages and 14 logging operations in Malaita Province between 2016 and 2019, this paper demonstrates that the impacts of logging on subsistence and social relations are systemic rather than incidental. By making use of interview quotes, the paper gives voice to rural Solomon Islanders. The results show that the logging industry fails to generate lasting local benefits, while unsustainable logging practices undermine subsistence livelihoods, especially fisheries. Logging triggers conflict that long outlasts the operations themselves, causes sexual exploitation, facilitates excessive alcohol use and reinforces gender disparities by structurally excluding women from decision-making and benefit-sharing. This paper calls for a stronger focus on the social impacts of logging in forestry science, policy and practice.Horizon 2020(H2020)748242Global Challenges (FSW