The Co-Evolution of Sustainable Development and Environmental Justice: Cooperation, Then Competition, Then Conflict

This article explores sustainable development and environmental justice as potentially conflicting policy goals. Sustainable development includes equity as one of its five dimensions (in addition to environment, economy, time, and space), whereas environmental justice focuses principally on equity. Over time there is likely to be an increasing number of contexts in which sustainability-based policy solutions do not satisfy environmental justice advocates

Evaluating the impact of physical activity apps and wearables: interdisciplinary review

Background: Although many smartphone apps and wearables have been designed to improve physical activity, their rapidly evolving nature and complexity present challenges for evaluating their impact. Traditional methodologies, such as randomized controlled trials (RCTs), can be slow. To keep pace with rapid technological development, evaluations of mobile health technologies must be efficient. Rapid alternative research designs have been proposed, and efficient in-app data collection methods, including in-device sensors and device-generated logs, are available. Along with effectiveness, it is important to measure engagement (ie, users’ interaction and usage behavior) and acceptability (ie, users’ subjective perceptions and experiences) to help explain how and why apps and wearables work. Objectives: This study aimed to (1) explore the extent to which evaluations of physical activity apps and wearables: employ rapid research designs; assess engagement, acceptability, as well as effectiveness; use efficient data collection methods; and (2) describe which dimensions of engagement and acceptability are assessed. Method: An interdisciplinary scoping review using 8 databases from health and computing sciences. Included studies measured physical activity, and evaluated physical activity apps or wearables that provided sensor-based feedback. Results were analyzed using descriptive numerical summaries, chi-square testing, and qualitative thematic analysis. Results: A total of 1829 abstracts were screened, and 858 articles read in full. Of 111 included studies, 61 (55.0%) were published between 2015 and 2017. Most (55.0%, 61/111) were RCTs, and only 2 studies (1.8%) used rapid research designs: 1 single-case design and 1 multiphase optimization strategy. Other research designs included 23 (22.5%) repeated measures designs, 11 (9.9%) nonrandomized group designs, 10 (9.0%) case studies, and 4 (3.6%) observational studies. Less than one-third of the studies (32.0%, 35/111) investigated effectiveness, engagement, and acceptability together. To measure physical activity, most studies (90.1%, 101/111) employed sensors (either in-device [67.6%, 75/111] or external [23.4%, 26/111]). RCTs were more likely to employ external sensors (accelerometers: P=.005). Studies that assessed engagement (52.3%, 58/111) mostly used device-generated logs (91%, 53/58) to measure the frequency, depth, and length of engagement. Studies that assessed acceptability (57.7%, 64/111) most often used questionnaires (64%, 42/64) and/or qualitative methods (53%, 34/64) to explore appreciation, perceived effectiveness and usefulness, satisfaction, intention to continue use, and social acceptability. Some studies (14.4%, 16/111) assessed dimensions more closely related to usability (ie, burden of sensor wear and use, interface complexity, and perceived technical performance). Conclusions: The rapid increase of research into the impact of physical activity apps and wearables means that evaluation guidelines are urgently needed to promote efficiency through the use of rapid research designs, in-device sensors and user-logs to assess effectiveness, engagement, and acceptability. Screening articles was time-consuming because reporting across health and computing sciences lacked standardization. Reporting guidelines are therefore needed to facilitate the synthesis of evidence across disciplines

Challenges and strategies for entry into the sports nutrition market in Portugal: a case study

Entering a new business into the market is a challenge and requires a set of resources to cope with pressures of various kinds: temporal, financial, competitive, brand positioning. However, the biggest challenge for entrepreneurs facing a highly competitive business environment is the knowledge of the market in which they will operate, as this implies gathering a set of information about the product or service they are offering and the competition it must face. This dissertation intends to know the challenges and strategies of entry of a sport nutrition company in the Portuguese market, taking as a case study Prozis, a Portuguese online company that operates in the retail area of sports nutrition products and that constitutes currently a success story and a reference at European level. Thus, the main objective of this dissertation is to try to identify the main barriers faced by a company wishing to implement a sports nutrition supplement in the retail business, with immediate responsiveness to all the challenges that arise in the management of this type of business. Additionally, it is intended to define which are the most appropriate marketing strategies for this market segment, which can contribute to generate as many sales as possible and retain the loyalty of consumers of this type of products.A entrada de um novo negócio no mercado constitui um desafio e implica a necessidade de um conjunto de recursos para enfrentar pressões de várias ordens: temporais, financeiras, concorrenciais, posicionamento da marca. No entanto, o maior desafio que se coloca ao empreendedor para enfrentar um ambiente empresarial altamente competitivo relaciona-se com o conhecimento do mercado em que irá atuar, dado que isso implica reunir um conjunto de informações acerca do produto ou serviço que se propõe oferecer e da concorrência que deverá enfrentar. Com esta dissertação pretende-se conhecer os desafios e estratégias de entrada de uma empresa no mercado da nutrição desportiva em Portugal, tomando como estudo de caso a Prozis, uma empresa online portuguesa que opera na área do retalho de produtos de nutrição desportiva e que constitui atualmente um caso de sucesso e uma referência a nível europeu. Assim, o objetivo principal deste trabalho é tentar identificar as principais barreiras enfrentadas por uma empresa que pretenda implementar um negócio de retalho de suplementos para nutrição desportiva, com capacidade de resposta imediata para todos os desafios que surgem na gestão deste tipo de negócio. Adicionalmente pretende-se definir quais são as estratégias de marketing mais adequadas para este segmento de mercado, que possam contribuir para gerar o maior número possível de vendas e fidelizar os consumidores deste tipo de produtos

Exploring the Fall-Risk Experience of Masters Athletes Actively Competing in Sport

The risk of falling increases in adults over the age of 65. Exercise can prevent falls. The motivation to partake in physical activity might be dependent on an older adult’s experience with the risk of falling. Since the majority of older adults are sedentary, experiences of masters athletes can provide valuable insights. The purpose of this phenomenological study was to explore the fall-risk experience of masters athletes actively competing in sport. Masters athletes over the age of 55 (n=22) described their experiences in semi-structured interviews. Data was analyzed through an interpretive-constructive paradigm using inductive content analysis. There were five dominant themes that emerged (acceptance of fall risk, learning, heightened awareness, resilience, and self-fulfillment). Findings from this study indicate that competing in sport as an older adult can be self-fulfilling even when falls-risk is present. The findings can also inform health promotion campaigns targeting fall prevention in community dwelling older adults

Interventions to increase physical activity in disadvantaged communities: A review of behavioural mechanisms. ESRI Working Paper No. 646 December 2019

Physical inactivity is now a significant driver of health and social inequalities among socioeconomically disadvantaged communities and poses a major challenge to policymakers, worldwide. Although a vast amount of research has focused on designing and evaluating interventions to increase physical activity, there remains little consensus on which interventions are likely to work. In this narrative review, we build on previous reviews by not only examining what interventions tend to work but by trying to understand why certain interventions tend to work, while others do not, through the lens of behavioural science. We present a behavioural framework through which the existing body of physical activity research could be viewed, in order to identify potentially effective mechanisms that would be likely to work in their intended domain. Our analysis finds that while there is evidence that the physical and educational environment matter for increasing levels of physical activity, interventions are more likely to be successful where they involve a social component. We conclude that a behaviourally informed physical activity intervention would thus employ a set of focused educational and socially-mediated behavioural mechanisms, within an appropriate physical environment

Dynamic physical activity recommendation on personalised mobile health information service: A deep reinforcement learning approach

Mobile health (mHealth) information service makes healthcare management easier for users, who want to increase physical activity and improve health. However, the differences in activity preference among the individual, adherence problems, and uncertainty of future health outcomes may reduce the effect of the mHealth information service. The current health service system usually provides recommendations based on fixed exercise plans that do not satisfy the user specific needs. This paper seeks an efficient way to make physical activity recommendation decisions on physical activity promotion in personalised mHealth information service by establishing data-driven model. In this study, we propose a real-time interaction model to select the optimal exercise plan for the individual considering the time-varying characteristics in maximising the long-term health utility of the user. We construct a framework for mHealth information service system comprising a personalised AI module, which is based on the scientific knowledge about physical activity to evaluate the individual exercise performance, which may increase the awareness of the mHealth artificial intelligence system. The proposed deep reinforcement learning (DRL) methodology combining two classes of approaches to improve the learning capability for the mHealth information service system. A deep learning method is introduced to construct the hybrid neural network combing long-short term memory (LSTM) network and deep neural network (DNN) techniques to infer the individual exercise behavior from the time series data. A reinforcement learning method is applied based on the asynchronous advantage actor-critic algorithm to find the optimal policy through exploration and exploitation

A quality-of-data aware mobile decision support system for patients with chronic illnesses

We present a mobile decision support system (mDSS) which runs on a patient Body Area Network consisting of a smartphone and a set of biosensors. Quality-of-Data (QoD) awareness in decision making is achieved by means of a component known as the Quality-of-Data Broker, which also runs on the smartphone. The QoD-aware mDSS collaborates with a more sophisticated decision support system running on a fixed back-end server in order to provide distributed decision support. This distributed decision support system has been implemented as part of a larger system developed during the European project MobiGuide. The MobiGuide system is a guideline-based Patient Guidance System designed to assist patients in the management of chronic illnesses. The system, including the QOD-aware mDSS, has been validated by clinicians and is being evaluated in patient pilots against two clinical guidelines

Hockey Fans in Training (Hockey FIT) Pilot Study Protocol: A Gender-Sensitized Weight Loss and Healthy Lifestyle Program for Overweight and Obese Male Hockey Fans

Background: Effective approaches that engage men in weight loss and lifestyle change are important because of worldwide increases, including in Canada, in obesity and chronic diseases. Football Fans in Training (FFIT), developed in Scotland, successfully tackled these problems by engaging overweight/obese male football fans in sustained weight loss and positive health behaviours, through program deliveries at professional football stadia. Methods: Aims: 1) Adapt FFIT to hockey within the Canadian context and integrate with HealtheSteps™ (evidence-based lifestyle program) to develop Hockey Fans in Training (Hockey FIT); 2) Explore potential for Hockey FIT to help overweight/obese men lose weight and improve other outcomes by 12 weeks, and retain these improvements to 12 months; 3) Evaluate feasibility of recruiting and retaining overweight/obese men; 4) Evaluate acceptability of Hockey FIT; and 5) Conduct program optimization via a process evaluation. We conducted a two-arm pilot pragmatic randomized controlled trial (pRCT) whereby 80 overweight/obese male hockey fans (35–65 years; body-mass index ≥28 kg/m2 ) were recruited through their connection to two junior A hockey teams (London and Sarnia, ON) and randomized to Intervention (Hockey FIT) or Comparator (Wait-List Control). Hockey FIT includes a 12-week Active Phase (classroom instruction and exercise sessions delivered weekly by trained coaches) and a 40-week Maintenance Phase. Data collected at baseline and 12 weeks (both groups), and 12 months (Intervention only), will inform evaluation of the potential of Hockey FIT to help men lose weight and improve other health outcomes. Feasibility and acceptability will be assessed using data from self-reports at screening and baseline, program fidelity (program observations and coach reflections), participant focus group discussions, coach interviews, as well as program questionnaires and interviews with participants. This information will be analyzed to inform program optimization. Discussion: Hockey FIT is a gender-sensitive program designed to engage overweight/obese male hockey fans to improve physical activity and healthy eating choices, thereby leading to weight loss and other positive changes in health outcomes. We expect this study to provide evidence for a full-scale confirmatory pRCT. Trial registration: NCT02396524 (Clinicaltrials.gov). Date of registration: Feb 26, 2015