The limits imposed by culture: Are symmetry preferences evidence of a recent reproductive strategy or a common primate inheritance?

© Cambridge University Press 2000. Published version reproduced with the permission of the publisher.Women's preference for symmetrical men need not have evolved as part of a good gene sexual selection (GGSS) reproductive strategy employed during recent human evolutionary history. It may be a remnant of the reproductive strategy of a perhaps promiscuous species which existed prior to the divergence of the human line from that of the bonobo and chimp

Prospects for an evolutionary economic psychology: buying and consumption as a test case

Until a few generations ago, humans made their living by foraging, like other animals. We have therefore inherited genes that allowed our ancestors to thrive as hunters and gatherers. Thriving in a modern economy requires very different behaviours but we cope because the human brain evolved to be flexible with the ability to form cooperative networks with other humans and to maintain the shared body of information, expertise and values which we call "culture". We argue that human economic behaviour is influenced by both the genes and the culture that we "inherit" and that both are a result of a Darwinian evolutionary process. An evolutionary approach is therefore likely to be of value in developing theories of economic behaviour. We then use this approach to analyse in broad terms how people that are born with the brains of foragers living in a small-scale society become consumers in a modern society and where this behaviour is likely to lead our species

Does citation matter? Research citation in policy documents as an indicator of research impact – an Australian obesity policy case-study

Background: Citation of research in policy documents has been suggested as an indicator of the potential longer-term impacts of research. We investigated the use of research citations in childhood obesity prevention policy documents from New South Wales (NSW), Australia, considering the feasibility and value of using research citation as a proxy measure of research impact. Methods: We examined childhood obesity policy documents produced between 2000 and 2015, extracting childhood obesity-related references and coding these according to reference type, geographical origin and type of research. A content analysis of the policy documents examined where and how research was cited in the documents and the context of citation for individual research publications. Results: Over a quarter (28%) of the policy documents (n = 86) were not publicly available, almost two-thirds (63%) contained references, half (47%) cited obesity-related research and over a third (41%) of those containing references used unorthodox referencing styles, making reference extraction laborious. No patterns, in terms of the types of documents more likely to cite research, were observed and the number of obesity research publications cited per document was highly variable. In total, 263 peer-reviewed and 94 non-peer-reviewed obesity research publications were cited. Research was most commonly cited to support a policy argument or choice of solution. However, it was not always possible to determine how or why individual publications were cited or whether the cited research itself had influenced the policy process. Content analysis identified circumstances where research was mentioned or considered, but not directly cited. Conclusions: Citation of research in policy documents in this case did not always provide evidence that the cited research had influenced the policy process, only that it was accessible and relevant to the content of the policy document. Research citation across these public health policy documents varied greatly and is unlikely to be an accurate reflection of actual research use by the policy agencies involved. The links between citation and impact may be more easily drawn in specific policy areas or types of documents (e.g. clinical guidelines), where research appraisal feeds directly into policy recommendations

Looking both ways: A review of methods for assessing research impacts on policy and the policy utilisation of research

Background: Measuring the policy and practice impacts of research is becoming increasingly important. Policy impacts can be measured from two directions – tracing forward from research and tracing backwards from a policy outcome. In this review, we compare these approaches and document the characteristics of studies assessing research impacts on policy and the policy utilisation of research. Methods: Keyword searches of electronic databases were conducted in December 2016. Included studies were published between 1995 and 2016 in English and reported methods and findings of studies measuring policy impacts of specified health research, or research use in relation to a specified health policy outcome, and reviews reporting methods of research impact assessment. Using an iterative data extraction process, we developed a framework to define the key elements of empirical studies (assessment reason, assessment direction, assessment starting point, unit of analysis, assessment methods, assessment endpoint and outcomes assessed) and then documented the characteristics of included empirical studies according to this framework. Results: We identified 144 empirical studies and 19 literature reviews. Empirical studies were derived from two parallel streams of research of equal size, which we termed ‘research impact assessments’ and ‘research use assessments’. Both streams provided insights about the influence of research on policy and utilised similar assessment methods, but approached measurement from opposite directions. Research impact assessments predominantly utilized forward tracing approaches while the converse was true for research use assessments. Within each stream, assessments focussed on narrow or broader research/policy units of analysis as the starting point for assessment, each with associated strengths and limitations. The two streams differed in terms of their relative focus on the contributions made by specific research (research impact assessments) versus research more generally (research use assessments) and the emphasis placed on research and the activities of researchers in comparison to other factors and actors as influencers of change. Conclusions: The Framework presented in this paper provides a mechanism for comparing studies within this broad field of research enquiry. Forward and backward tracing approaches, and their different ways of ‘looking’, tell a different story of research-based policy change. Combining approaches may provide the best way forward in terms of linking outcomes to specific research, as well as providing a realistic picture of research influence

A mixed methods study of the factors that influence whether intervention research has policy and practice impacts: perceptions of Australian researchers

Objectives: To investigate researchers’ perceptions about the factors that influenced the policy and practice impacts (or lack of impact) of one of their own funded intervention research studies. Design: Mixed method, cross-sectional study. Setting: Intervention research conducted in Australia and funded by Australia’s National Health and Medical Research Council between 2003 and 2007. Participants: The chief investigators from 50 funded intervention research studies were interviewed to determine if their study had achieved policy and practice impacts, how and why these impacts had (or had not) occurred and the approach to dissemination they had employed. Results: We found that statistically significant intervention effects and publication of results influenced whether there were policy and practice impacts, along with factors related to the nature of the intervention itself, the researchers’ experience and connections, their dissemination and translation efforts, and the postresearch context. Conclusions: This study indicates that sophisticated approaches to intervention development, dissemination actions and translational efforts are actually widespread among experienced researches, and can achieve policy and practice impacts. However, it was the links between the intervention results, further dissemination actions by researchers and a variety of postresearch contextual factors that ultimately determined whether a study had policy and practice impacts. Given the complicated interplay between the various factors, there appears to be no simple formula for determining which intervention studies should be funded in order to achieve optimal policy and practice impacts

Tracking funded health intervention research

Objective: To describe the research publication outputs from intervention research funded by Australia’s National Health and Medical Research Council (NHMRC). Design and setting: Analysis of descriptive data and data on publication outputs collected between 23 July 2012 and 10 December 2013 relating to health intervention research project grants funded between 1 January 2003 and 31 December 2007. Main outcome measures: Stages of development of intervention studies (efficacy, effectiveness, replication, adaptation or dissemination of intervention); types of interventions studied; publication output per NHMRC grant; and whether interventions produced statistically significant changes in primary outcome variables. Results: Most of the identified studies tested intervention efficacy or effectiveness in clinical or community settings, with few testing the later stages of intervention development, such as replication, adaptation or dissemination. Studies focused largely on chronic disease treatment and management, and encompassed various medical and allied health disciplines. Equal numbers of studies had interventions that produced statistically significant results on primary outcomes, (27) and those that did not (27). The mean number of total published articles per grant was 3.3, with 2.0 articles per grant focusing on results, and the remainder covering descriptive, exploratory or methodological aspects of intervention research. Conclusions: Our study provides a benchmark for the publication outputs of NHMRC-funded health intervention research in Australia. Research productivity is particularly important for intervention research, where findings are likely to have more immediate and direct applicability to health policy and practice. Tracking research outputs in this way provides information on whether current research investment patterns match the need for evidence about health care interventions

Utilization of a population health survey in policy and practice: a case study

BackgroundThere is growing interest by funding bodies and researchers in assessing the impact of research on real world policy and practice. Population health monitoring surveys provide an important source of data on the prevalence and patterns of health problems, but few empirical studies have explored if and how such data is used to influence policy or practice decisions. Here we provide a case study analysis of how the findings from an Australian population monitoring survey series of children&rsquo;s weight and weight-related behaviors (Schools Physical Activity and Nutrition Survey (SPANS)) have been used, and the key facilitators and barriers to their utilization.MethodsData collection included semi-structured interviews with the chief investigators (n = 3) and end-users (n = 9) of SPANS data to explore if, how and under what circumstances the survey findings had been used, bibliometric analysis and verification using documentary evidence. Data analysis involved thematic coding of interview data and triangulation with other data sources to produce case summaries of policy and practice impacts for each of the three survey years (1997, 2004, 2010). Case summaries were then reviewed and discussed by the authors to distil key themes on if, how and why the SPANS findings had been used to guide policy and practice.ResultsWe found that the survey findings were used for agenda setting (raising awareness of issues), identifying areas and target groups for interventions, informing new policies, and supporting and justifying existing policies and programs across a range of sectors. Reported factors influencing use of the findings were: i) the perceived credibility of survey findings; ii) dissemination strategies used; and, iii) a range of contextual factors.ConclusionsUsing a novel approach, our case study provides important new insights into how and under what circumstances population health monitoring data can be used to influence real world policy and practice. The findings highlight the importance of population monitoring programs being conducted by independent credible agencies, researchers engaging end-users from the inception of survey programs and utilizing existing policy networks and structures, and using a range of strategies to disseminate the findings that go beyond traditional peer review publications.<br /

Policy and practice impacts of applied research: a case study analysis of the New South Wales Health Promotion Demonstration Research Grants Scheme 2000-2006

BackgroundIntervention research provides important information regarding feasible and effective interventions for health policy makers, but few empirical studies have explored the mechanisms by which these studies influence policy and practice. This study provides an exploratory case series analysis of the policy, practice and other related impacts of the 15 research projects funded through the New South Wales Health Promotion Demonstration Research Grants Scheme during the period 2000 to 2006, and explored the factors mediating impacts.MethodsData collection included semi-structured interviews with the chief investigators (n = 17) and end-users (n = 29) of each of the 15 projects to explore if, how and under what circumstances the findings had been used, as well as bibliometric analysis and verification using documentary evidence. Data analysis involved thematic coding of interview data and triangulation with other data sources to produce case summaries of impacts for each project. Case summaries were then individually assessed against four impact criteria and discussed at a verification panel meeting where final group assessments of the impact of research projects were made and key influences of research impact identified.ResultsFunded projects had variable impacts on policy and practice. Project findings were used for agenda setting (raising awareness of issues), identifying areas and target groups for interventions, informing new policies, and supporting and justifying existing policies and programs across sectors. Reported factors influencing the use of findings were: i) nature of the intervention; ii) leadership and champions; iii) research quality; iv) effective partnerships; v) dissemination strategies used; and, vi) contextual factors.ConclusionsThe case series analysis provides new insights into how and under what circumstances intervention research is used to influence real world policy and practice. The findings highlight that intervention research projects can achieve the greatest policy and practice impacts if they address proximal needs of the policy context by engaging end-users from the inception of projects and utilizing existing policy networks and structures, and using a range of strategies to disseminate findings that go beond traditional peer review publications.<br /

Combining vitamin C and carotenoid biomarkers better predicts fruit and vegetable intake than individual biomarkers in dietary intervention studies.

The aim of this study was to determine whether combining potential biomarkers of fruit and vegetables is better at predicting FV intake within FV intervention studies than single biomarkers