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Jean Adams

Bio: Jean Adams is an academic researcher from University of Cambridge. The author has contributed to research in topics: Population & Public health. The author has an hindex of 46, co-authored 229 publications receiving 6837 citations. Previous affiliations of Jean Adams include Medical Research Council & University of Newcastle.


Papers
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Journal ArticleDOI
11 Mar 2014-PLOS ONE
TL;DR: The available evidence suggests that financial incentive interventions are more effective than usual care or no intervention for encouraging healthy behaviour change.
Abstract: Background Financial incentive interventions have been suggested as one method of promoting healthy behaviour change. Objectives To conduct a systematic review of the effectiveness of financial incentive interventions for encouraging healthy behaviour change; to explore whether effects vary according to the type of behaviour incentivised, post-intervention follow-up time, or incentive value. Data Sources Searches were of relevant electronic databases, research registers, www.google.com, and the reference lists of previous reviews; and requests for information sent to relevant mailing lists. Eligibility Criteria Controlled evaluations of the effectiveness of financial incentive interventions, compared to no intervention or usual care, to encourage healthy behaviour change, in non-clinical adult populations, living in high-income countries, were included. Study Appraisal and Synthesis The Cochrane Risk of Bias tool was used to assess all included studies. Meta-analysis was used to explore the effect of financial incentive interventions within groups of similar behaviours and overall. Meta-regression was used to determine if effect varied according to post-intervention follow up time, or incentive value. Results Seventeen papers reporting on 16 studies on smoking cessation (n = 10), attendance for vaccination or screening (n = 5), and physical activity (n = 1) were included. In meta-analyses, the average effect of incentive interventions was greater than control for short-term (≤six months) smoking cessation (relative risk (95% confidence intervals): 2.48 (1.77 to 3.46); long-term (>six months) smoking cessation (1.50 (1.05 to 2.14)); attendance for vaccination or screening (1.92 (1.46 to 2.53)); and for all behaviours combined (1.62 (1.38 to 1.91)). There was not convincing evidence that effects were different between different groups of behaviours. Meta-regression found some, limited, evidence that effect sizes decreased as post-intervention follow-up period and incentive value increased. However, the latter effect may be confounded by the former. Conclusions The available evidence suggests that financial incentive interventions are more effective than usual care or no intervention for encouraging healthy behaviour change. Trial Registration PROSPERO CRD42012002393

375 citations

Journal ArticleDOI
TL;DR: Information on applied public health research questions relating to the nature and range of public health interventions, as well as many evaluations of these interventions, may be predominantly, or only, held in grey literature and grey information.
Abstract: Grey literature includes a range of documents not controlled by commercial publishing organisations. This means that grey literature can be difficult to search and retrieve for evidence synthesis. Much knowledge and evidence in public health, and other fields, accumulates from innovation in practice. This knowledge may not even be of sufficient formality to meet the definition of grey literature. We term this knowledge ‘grey information’. Grey information may be even harder to search for and retrieve than grey literature. On three previous occasions, we have attempted to systematically search for and synthesise public health grey literature and information—both to summarise the extent and nature of particular classes of interventions and to synthesise results of evaluations. Here, we briefly describe these three ‘case studies’ but focus on our post hoc critical reflections on searching for and synthesising grey literature and information garnered from our experiences of these case studies. We believe these reflections will be useful to future researchers working in this area. Issues discussed include search methods, searching efficiency, replicability of searches, data management, data extraction, assessing study ‘quality’, data synthesis, time and resources, and differentiating evidence synthesis from primary research. Information on applied public health research questions relating to the nature and range of public health interventions, as well as many evaluations of these interventions, may be predominantly, or only, held in grey literature and grey information. Evidence syntheses on these topics need, therefore, to embrace grey literature and information. Many typical systematic review methods for searching, appraising, managing, and synthesising the evidence base can be adapted for use with grey literature and information. Evidence synthesisers should carefully consider the opportunities and problems offered by including grey literature and information. Enhanced incentives for accurate recording and further methodological developments in retrieval will facilitate future syntheses of grey literature and information.

287 citations

Journal ArticleDOI
TL;DR: There is some overlap between previously used markers of time perspective and the five-factor personality domains but this is neither strong nor consistent.
Abstract: Objectives. Time perspective describes how individuals conceptualize and value futur ee vents, and ma yb er elated to health behaviours. Research to date has focused on addictive behaviours, used av ariety of different measures of time perspective, and not explored the role of personality .T his work aimed to: explore the relationships between: five previously used measures of time perspective; time perspective and the broad domains of the five-factor model of personality; and time perspective and smoking, body mass, and physical activity after controlling for socio-demographics and personality. Design. Cross-sectional self-report data wer ec ollected using aw eb based survey. Methods. Participants ( N ¼ 423) wer er ecruited via local community internet message boards in US urban areas. The surve yc ollected information on: dela yd iscount rate ,t he Consideration of Future Consequences Scale (CFCS), the future scale of the Zimbardo Time Perspective Inventor y( ZTPI), subjectiv ep robability of living to age 75, and time period for financial planning, the five-factor personality inventory, smoking, body mass index (BMI), and physical activity. Results. After controlling for socio-demographics, most markers of time perspective wer es ignificantly correlated with each other ,b ut the strength of correlations was rarel ys trong. Conscientiousness, Neuroticism, Agreeableness, and Openness wer e associated with some markers of time perspective. After controlling for sociodemographic and personality domains, only CFCS scor ew as associated with smoking status and BMI. Conclusions. Ther ei ss ome overlap between previously used markers of time perspective and the five-factor personality domains but this is neither strong nor consistent. Smoking and BMI, but not physical activity ,a re associated with CFCS, but not other measures of time perspective.

271 citations

Journal ArticleDOI
TL;DR: Stage-based activity promotion interventions that have been developed to date may have failed to appreciate the true complexity of the task and may simplify exercise behaviour beyond what is useful for practitioners and health promoters.
Abstract: Despite the well-described benefits of regular physical activity, around 70% of adults in the UK fail to meet current activity recommendations. Interventions based on the Transtheoretical, or Stages of Change, Model of behaviour change have been proposed as one potentially effective method of promoting physical activity levels. However, two recent reviews have found little evidence that individualized stage-based activity promotion interventions are any more effective than control conditions in promoting long-term adherence to increased levels of physical activity. Possible reasons for this are: that exercise behaviour is a more complex group of behaviours than currently recognized; that many algorithms for determining current stage of activity change have not been validated; that exercise behaviour is determined by a number of factors not addressed by stagebased interventions; that the stages of change model encourages focus on stage progression which is not always associated with behaviour change; and that truly stage-based interventions are highly complex requiring more than one level of development and evaluation— a challenge that has not yet been met. Thus, stage-based activity promotion interventions may simplify exercise behaviour beyond what is useful for practitioners and health promoters. Paradoxically, stage-based activity promotion interventions that have been developed to date may have failed to appreciate the true complexity of the task.

268 citations


Cited by
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01 Jan 2016
TL;DR: The comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study 2015 was used to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational risks or clusters of risks from 1990 to 2015.
Abstract: BACKGROUND The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. METHODS We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors-the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). FINDINGS Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6-58·8) of global deaths and 41·2% (39·8-42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. INTERPRETATION Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. FUNDING Bill & Melinda Gates Foundation.

3,920 citations

Journal ArticleDOI
TL;DR: Doing qualitative research: a practical handbook, by David Silverman, Los Angeles, Sage, 2010, 456 pp., AU$65.00, ISBN 978-1-84860-033-1, ISBN 1-94960-034-8 as mentioned in this paper.
Abstract: Doing qualitative research: a practical handbook, by David Silverman, Los Angeles, Sage, 2010, 456 pp., AU$65.00, ISBN 978-1-84860-033-1, ISBN 978-1-94960-034-8. Available in Australia and New Zeal...

2,295 citations

Journal ArticleDOI
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease as discussed by the authors.

1,755 citations

Journal Article
TL;DR: 1. Place animal in induction chamber and anesthetize the mouse and ensure sedation, move it to a nose cone for hair removal using cream and reduce anesthesia to maintain proper heart rate.
Abstract: 1. Place animal in induction chamber and anesthetize the mouse and ensure sedation. 2. Once the animal is sedated, move it to a nose cone for hair removal using cream. Only apply cream to the area of the chest that will be utilized for imaging. Once the hair is removed, wipe area with wet gauze to ensure all hair is removed. 3. Move the animal to the imaging platform and tape its paws to the ECG lead plates and insert rectal probe. Body temperature should be maintained at 36-37°C. During imaging, reduce anesthesia to maintain proper heart rate. If the animal shows signs of being awake, use a higher concentration of anesthetic.

1,557 citations