Littoral Environnement et Sociétés (LIENSs), UMR 7266, CNRS-Université de La Rochelle, 2 Rue Olympe de Gouges, 17042, La Rochelle Cedex 01, France. tamas.malkocs@gmail.com.
Pál Juhász-Nagy Doctoral School of Biology and Environmental Sciences, University of Debrecen, Egyetem tér 1, 4032, Debrecen, Hungary. tamas.malkocs@gmail.com.
Institute of Biology and Ecology, University of Debrecen, Egyetem tér 1, 4032, Debrecen, Hungary. tamas.malkocs@gmail.com.
Institute of Aquatic Ecology, Centre for Ecological Research, 4026, Debrecen, Hungary. tamas.malkocs@gmail.com.
Ctedra Diversidad Animal I and Laboratorio de Virologa y Gentica Molecular; Facultad de Ciencias Naturales y Ciencias de la Salud; Universidad Nacional de la Patagonia San Juan Bosco; 9 de Julio y Belgrano s/n; 9100 Trelew; Chubut; ARGENTINA. jgloreley@gmail.com.
Museo Argentino de Ciencias Naturales Bernardino Rivadavia; Av. ngel Gallardo 470; C1405DJR Ciudad Autnoma de Buenos Aires; ARGENTINA. gpastorino@macn.gov.ar.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: gsmedley@iastate.edu.
Department of Zoology, University of São Paulo, Rua do Matão, Travessa 14, n. 101, 05508-090 São Paulo, SP, Brazil. Electronic address: jorgeaudino@ib.usp.br.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: courtney.grula@ndsu.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: aporathk@umn.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: apairett@iastate.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: aalejand@whittier.edu.
Faculty of Science, Health, Education, and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland 4558, Australia. Electronic address: felicity.masters@research.usc.edu.au.
Faculty of Science, Health, Education, and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland 4558, Australia. Electronic address: pduncan@usc.edu.au.
Department of Invertebrate Zoology, National Museum of National History, Smithsonian Institution, 10th and Constitution Ave NW, Washington, DC 20560, USA. Electronic address: StrongE@si.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: serb@iastate.edu.
Income composition is highly associated with individual financial sustainability and income inequality at the macro level. Although studies have investigated the effects of disability on wage income, ...
We sampled 72,000 households using tax data sourced from the Taiwan Ministry of Finance in 2015. Data for each household member were traced back to 1999. We identified 23,346 individuals with disabili...
Wage income constitutes the largest proportion of income in Taiwan. The total income is estimated to increase by 10.4% (P < 0.001) after disability onset. Moreover, most income categories did not expe...
The effect of disability on income varied across different sources of income. The income composition observed for the individuals with disabilities changed considerably at various ages. Accordingly, p...
Preterm birth (PTB) has been associated with lower income in adulthood, but associations with intergenerational income mobility and the role of family socioeconomic status (SES) as modifying factor ar...
To assess whether the association between PTB and income differs according to family SES at birth and to assess the association between PTB and intergenerational income mobility....
This study comprised a matched cohort of live births in Canada between January 1, 1990, and December 31, 1996, with follow-up until December 31, 2018. Statistical analysis was performed between May 20...
Preterm birth, defined as birth between 24 and 37 weeks' gestational age (with gestational age subcategories of 34-36, 32-33, 28-31, and 24-27 weeks) vs early and full term births (gestational age, 37...
Associations between PTB and annual adulthood income in 2018 Canadian dollars were assessed overall (current exhange rate: $1 = CAD $1.37) and stratified by family income quintiles, using generalized ...
Of 1.6 million included births (51.1% boys and 48.9% girls), 6.9% infants were born preterm (5.4% born at 34-36 weeks, 0.7% born at 32-33 weeks, 0.5% born at 28-31 weeks, and 0.2% born at 24-27 weeks)...
In this population-based matched cohort study, PTB was associated with lower adulthood income, lower upward social mobility, and higher downward mobility, with greater differences among those belongin...
We design a novel experiment to identify aversion to pure (univariate) health inequality separately from aversion to income-related and income-caused health inequality. Participants allocate resources...
Chronic respiratory diseases are a leading cause of morbidity and mortality in low-income and middle-income countries (LMICs). We aim to review prevalence of respiratory diseases and related symptoms,...
We report findings from 16 studies, highlighting key issues relevant to burden of respiratory problems in LMICs. COPD and associated symptoms are identified as important drivers of increasing respirat...
Prevention and treatment of respiratory diseases is essential for improved wellbeing. We identify missed opportunities for measurement and understanding of burden caused by respiratory problems within...
In this paper we revisit the relationship between health outcomes, income, and income inequality by applying alternative panel methodologies to a dataset of high-income countries spanning the time per...
There is a well-established cross-sectional association between income and health, but estimates of the causal effects of income vary substantially. Different definitions of income may lead to substan...
The aim of this paper is to introduce a taxonomy for definitional and conceptual issues in studying individual- or household-level income for health research. We focus on (1) the definition of the inc...
Quantified estimates of causal effects of income on health and wellbeing have crucial relevance for policymakers to anticipate the consequences of policies targeting the social determinants of health....
Professional choices influence valued outcomes such as income, life satisfaction, and social status. However, public opinion polls consistently illustrate that an individual's profession also influenc...
While public pensions are usually the main source of income in old age, other sources of income may have various consequences for pensioners' economic well-being across households and countries. In th...
Integrated people-centred eye care has been recommended as a strategic framework for reducing global vision impairment and blindness. The extent to which eye care has integrated with other services ha...
Rapid scoping review based on Cochrane Rapid Review and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines....
MEDLINE, Embase, Web of Science, Scopus and Cochrane Library databases were searched in September 2021....
Papers with interventions involving eye care or preventative eye care integrated into other health systems, peer-reviewed in English, conducted in low-income or middle-income countries, and published ...
Two independent reviewers screened, quality appraised and coded included papers. A deductive-inductive iterative analysis approach was used with a focus on integrating service delivery....
The search identified 3889 potential papers, of which 24 were included. Twenty papers incorporated more than one intervention type (promotion, prevention and/or treatment), but none included rehabilit...
Integrating eye care into low resource health systems is a challenging task, compounded by resource limitations, competing priorities and ongoing support needs. This review highlighted a need for peop...
To assess a new approach (weighting by "income probabilities [IP]") that uses US Census data from the patients' communities to approximate individual-level income, an important but often missing varia...
Community (census tract level) income data came from the 2017 5-year American Community Survey (ACS). The patient data included those diagnosed with cancer in 2017 in Ohio (n = 65,759). The reference ...
We applied the traditional approach of income approximation using median census tract income along with two IP based approaches to estimate the proportions in the patient data with incomes of 0%-149%,...
The patient data came from Ohio's cancer registry. The other data were publicly available....
Both IP based approaches consistently outperformed the traditional approach overall and in subgroup analyses, as measured by the weighted average absolute percentage point differences between the prop...
Weighting by IP substantially outperformed the conventional approach of estimating the distribution of incomes in patient data....
