24-Hour Physical Behavior Balance for Better Health for All: “The Sweet-Spot Hypothesis”

Abstract“Sit less–move more” has been the univocal advice to adults for better health. Predominantly, this advice is based on research of physical behaviors during leisure-time. A recent study among > 100,000 adults indicates a u-shaped association between leisure-time physical activity and risk for cardiovascular disease and mortality among adults in physically active occupations. This may be explained by the considerable difference in 24-h physical behaviors between adults in sedentary and physically active occupations. Thus, the advice “sit less–move more” might not be the best for health among adults in physically active occupations. To provide a scientific approach and encourage research on 24-h physical behaviors and health for those in physically active occupations, we propose the “Sweet-Spot Hypothesis.” The hypothesis postulates that the “Sweet-Spot” of 24-h physical behaviors for better health differs between adults, depending on their occupation. Specifically, the hypothesis claims that the advice “sit less–move more” does not bring adults in physically active occupations toward their “Sweet-Spot” of 24-h physical behaviors for better health. The purpose of our paper is to encourage researchers to test this proposed hypothesis by describing its origin, its theoretical underpinning, approaches to test it, and practical implications. To promote health for all, and decrease social health inequalities, we see a great need for empirically testing the “Sweet-Spot Hypothesis.” We propose the “Sweet-Spot Hypothesis” to encourage discussion, debates, and empirical research to expand our collective knowledge about the healthy “24-h physical behavior balance” for all.

Facing the digital divide into a dementia clinic during COVID-19 pandemic: caregiver age matters

Background The coronavirus disease 2019 (COVID-19) pandemic has dramatically stressed the health care system and has provoked changes in population use of digital technologies. Digital divide is any uneven distribution in Information and Communications Technologies between people. Aims The purpose of this work was to describe the digital divide of a population of patients with dementia contacted by telemedicine during Italian lockdown for COVID-19 pandemic. Method One hundred eight patients with cognitive impairment were contacted by video call to perform a telemedicine neurological evaluation. Information on patients and caregivers attending the televisit were recorded. Results Seventy-four patients connected with neurologist (successful televisit, 68.5%) and 34 patients were not able to perform televisit and were contacted by phone (failed televisit, 31.5%). No significant differences were observed among the two groups concerning age, gender, and education, but the prevalence of successful televisit was higher in the presence of younger caregivers: televisits performed in the presence of subjects of younger generation (sons and grandsons) had a successful rate higher (86% successful, 14% failed) than the group without younger generation caregiver (49% successful, 51% failed). This difference is mainly due to the ability of technological use among younger people. Discussion The most impacting factors on digital divide in our population are the social support networks and the experience with the technology: the presence of a digital native caregiver. The COVID-19 pandemic is unmasking an emerging form of technology-related social inequalities: political and community interventions are needed to support the most socially vulnerable population and prevent social health inequalities.

Using theory of change to develop an intervention theory for designing and evaluating behavior change SDApps for healthy eating and physical exercise: the OCAPREV theory

Background Connected health devices and applications (referred to hereafter as “SDApps” - Smart devices and applications) are being portrayed as a new way for prevention, with the promise of accessibility, effectiveness and personalization. Many effectiveness evaluations (experimental designs) with strong internal validity exist. While effectiveness does appear to vary, the mechanisms used by these devices have not yet been thoroughly investigated. This article seeks to unpack this black box, and describes the process of elaboration of an intervention theory for healthy eating and physical activity SDApps. It includes a set of requirements relative to their impact on social health inequalities. Methods To build this theory, we drew on theory-driven approaches and in particular on the theory of change (ToC) method. To this end, we developed a cumulative and iterative process combining scientific data from the literature with knowledge from experts (researchers and practitioners) and from patients or users. It was a 3-step process, as follows: 1 - identifying the evidence base; 2 - developing the theory through design intervention and creating realistic expectations, including in our case specific work on social health inequalities (SHIs); 3 - modeling process and outcome. Results We produced an evidence-based theory according to the ToC model, based on scientific evidence and knowledge from experts and users. It sets out a causal pathway leveraging 11 key mechanisms - theoretical domains - with which 50 behavior change techniques can be used towards 3 ultimate goals: Capacity, Opportunity, Motivation – Behavior (COM-B). Furthermore, the theory specifically integrates requirements relative to the impact on SHIs. Conclusions This theory is an aid to SDAapp design and evaluation and it can be used to consider the question of the possible impact of SDApps on the increase in inequalities. Firstly, it enables developers to adopt a more overarching and thorough approach to supporting behavior change, and secondly it encourages comprehensive and contributive evaluations of existing SDApps. Lastly, it allows health inequalities to be fully considered.

TheorTheoretical Implications for the Analysis of Social Health Inequalities: A Discussionetical Implications for the Analysis of Social Health Inequalities: A Discussion

Social health inequalities (or inequities) continue to represent a great challenge for public health research worldwide. Since 1991, the World Health Organization established that the study and analysis of health inequalities represented a priority for all countries. To better guide methodological and practical implications of health inequalities, research on this topic should present a solid theoretical model, able to impact future public health policies. Previous studies of health inequalities in Latin America are often inspired from abroad experiences, encouraging the reproduction of mainly European theoretical positions and methodologies. However, especially when it comes to this topic, it is known the important role of the social context and culture, playing an important role in promoting differences in health outcomes. From this perspective, to operationalize the different social determinants in health, a critical perspective and thoughtful analysis of the context is mandatory. In order to provide a critical analysis and useful tools for both research and health decision making, we recommend that the theoretical and methodological approaches used in social health inequalities research must be well adapted to the specific contexts; that health social stratification must be assessed as a priority; that individual and the wider health determinants must be well characterized; and that the theoretical justification of the methodological decisions made in the studies and the selected measures must be explicit and should answer specific hypotheses. This research provides a brief historical background, to share the basis for the conceptual evolution of social health inequalities; the main underlying concepts related to the definition of health inequalities (social determinants, equity, justice, stratification and social gradient in health); and some recommendations for the future perspectives of health inequalities research in Latin America.

Patienten-Navigation – Kann ein Patienten-Navigations-Programm soziale Ungleichheiten bei der Darmkrebsfrüherkennung beseitigen?

De Mil R et al. Cost-Effectiveness Analysis of a Navigation Program for Colorectal Cancer Screening to Reduce Social Health Inequalities: A French Cluster Randomized Controlled Trial. Value Health 2018; 21: 685–691 Trotz vollständiger Kostenübernahme und regelmäßiger postalischer Erinnerung nehmen nur rund 30 % der Bevölkerung in Frankreich an einem Darmkrebsscreening teil. Vor allem in Bevölkerungsschichten mit niedrigem sozioökonomischem Status ist die Beteiligung gering. Die Autoren haben ein Patienten-Navigations-Programm entwickelt, um die Beteiligung an der Krebsfrüherkennung zu erhöhen und soziale Ungleichheiten zu minimieren.

Evaluating the effect of income support policies on social health inequalities (SHIs) at birth in Montreal and Brussels using a contextualised comparative approach and model family method: a study protocol

IntroductionAssessing the effects of social policies on social health inequalities (SHIs) is a complex issue. Variations in social policy between countries or regions provide natural experiments in policy implementation to perform comparative research. Comparisons are most enlightening when: the object of the evaluation is well defined (types of policies, population groups); the context of policy is analysed (history, implementation); the impact of policy on household poverty is outlined in detail; the influence of various factors (other than poverty) on SHI is taken into consideration.Methods and analysisThis study aims to understand how income support policies (ISPs) in Brussels and Montreal influence the poverty level of households receiving social assistance, and how they are associated with SHI at birth. Two cases studies will be carried out from a comparative perspective. The analysis includes four stages : (1) The model family method will be used to compare ISPs and their impact on disposable income and poverty of households receiving social assistance in both regions. (2) Statistical analysis of administrative databases will enable the description and comparison of SHI in adverse pregnancy outcomes across the two regions. (3) Analysis of databases and documents will allow for description of various factors which are likely to interact with poverty and influence SHI at birth. (4) Based on the Diderichsen model, results from the previous stages will be used to formulate hypotheses about the mechanisms by which ISPs contribute to increasing or reducing SHI at birth in both regions.Ethics and disseminationThis research was approved by the Human Research Ethics Committee for Health research of Université de Montréal. In Belgium, the access to linked databases was approved by the Commission for the Protection of Privacy. Databases de-identified according to Belgian and Canadian legislation will be used. Results will be disseminated in scientific publications and will be shared with policy makers and field actors through collaborations with local organisations in Brussels and Montreal.