scholarly journals Using digital devices to help people lose weight: a systematic review

2020 ◽  
Vol 10 (3) ◽  
pp. 289-319
Author(s):  
Madeleine Besson ◽  
Patricia Gurviez ◽  
Julia Carins
Keyword(s):  
Public Health ◽  
Weight Loss ◽  
Literature Review ◽  
Social Marketing ◽  
Low Cost ◽  
Health Policies ◽  
Diet Change ◽  
Content Type ◽  
Public Health Policies ◽  
Digital Devices

Purpose When fighting the burden of overweight and obesity, diet remains a powerful preventive factor. The purpose of this paper is to stimulate more efficient interventions on diet change by synthesising knowledge of previous weight loss programmes based on the use of digital devices. Design/methodology/approach Following the preferred reporting items for systematic reviews and meta-analyses approach, a systematic literature review through five databases was undertaken focussed on the assessment of studies oriented towards diet change that incorporated digital devices including computers, tablets, mobile phones, portable and non-portable tracking devices. In total, 15 empirical studies (2004–2018) were identified and examined for efficacy and presence of theory and behaviour change techniques. Findings Digital devices supporting weight loss programmes have evolved rapidly over the past 15 years, from reminders using the short message system to self-quantification through mobile applications. Nine studies show a significant difference between conditions, in favour or one (or more) intervention arm. The remaining studies failed to find significance between conditions but were using a comparison with an active intervention, potentially indicating equivalent efficacy. A low level of theory use and use of behavioural techniques was evident. Research limitations/implications The literature review is limited to studies that have scientifically evaluated the (potential) weight loss associated with the weight loss intervention. This review could be put into perspective with other complementary research, in particular, qualitative research aimed at exploring participants’ motivations to use (or not) digital devices to lose weight. Social implications Given their low cost and the size of the overweight population, it appears that public health policies could integrate digital devices more strongly in their efforts to combat obesity. Social marketing can add its expertise to medical-based programmes which in return bring their need for more quantitative evaluation of the efficacy of the interventions. Originality/value Few previous reviews have examined the extent of the efficiency in digital diet change programmes. The review shows that, in general, digital interventions can support weight loss for adults; however, more studies are required to provide a strong evidence base for efficacy. Given their low cost and the size of the overweight population, public health policies could integrate these devices more strongly in their efforts to combat obesity. A theory-driven social marketing perspective could enhance development ensuring interventions are effective and valued by users.

scholarly journals Analyzing Twitter Data to Evaluate the People’s Attitudes to Public Health Policies and Events in the Era of COVID-19

2020 ◽  
Author(s):  
Meng-Hsiu Tsai ◽  
Yingfeng Wang
Keyword(s):  
Public Health ◽  
Sentiment Analysis ◽  
Surveillance System ◽  
Early Stage ◽  
Low Cost ◽  
Health Policies ◽  
Public Health Policies ◽  
The Public ◽  
Twitter Data ◽  
People’S Attitudes

Abstract Background: In the era of a pandemic like COVID-19, monitoring the sentimental changes of the population is an urgent need, especially for the policy makers of the public health. A possible solution is to build a fast and low-cost surveillance system by using the sentiment analysis of Twitter data. Unfortunately, choosing a suitable sentiment classification model is still challenging. The general pre-trained model may be insensitive to the new specific terms of the pandemic. The early-trained model may have a bias issue due to the incomplete specific corpus. Although it is reasonable to assume the late-trained model is relatively reliable, it is usually available months after a pandemic begins. Methods: This paper conducts the sentiment analysis of Twitter data and compares different models. Furthermore, we propose a strategy for using the pre-trained, early-trained, and latetrained models in a surveillance system based on Twitter data. The first two models can be used together in the early stage, while the last model can be used in the late stage. This study also analyzes the relationship between the sentimental changes of COVID-19-related Twitter data and the public health policies and events. Results: Our results indicate that applying the pre-trained model to preprocessing early training samples may improve the early-trained model. Both models can work together by making up each other in the surveillance system in the early stage. Conclusions: A fast and low-cost surveillance system is critical to the policy makers of the public health in a pandemic. This work uses the sentiment analysis of Twitter data to evaluate people’s attitudes to public health policies and events. We propose a strategy to make the surveillance system effective since the early stage. This study also connects the sentimental changes of COVID19-related Twitter data to the public health policies and events.

scholarly journals Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning

JAMIA Open ◽  
2021 ◽  
Author(s):  
Bo Peng ◽  
Rowland W Pettit ◽  
Christopher I Amos
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Emergency Response ◽  
Robustness Analysis ◽  
Health Policies ◽  
Command Line ◽  
Public Health Policies ◽  
Continuity Planning ◽  
Quantitative Estimates ◽  
Community Infection

Abstract Objectives We developed COVID-19 Outbreak Simulator (https://ictr.github.io/covid19-outbreak-simulator/) to quantitatively estimate the effectiveness of preventative and interventive measures to prevent and battle COVID-19 outbreaks for specific populations. Materials and methods Our simulator simulates the entire course of infection and transmission of the virus among individuals in heterogeneous populations, subject to operations and influences, such as quarantine, testing, social distancing, and community infection. It provides command-line and Jupyter notebook interfaces and a plugin system for user-defined operations. Results The simulator provides quantitative estimates for COVID-19 outbreaks in a variety of scenarios and assists the development of public health policies, risk-reduction operations, and emergency response plans. Discussion Our simulator is powerful, flexible, and customizable, although successful applications require realistic estimation and robustness analysis of population-specific parameters. Conclusion Risk assessment and continuity planning for COVID-19 outbreaks are crucial for the continued operation of many organizations. Our simulator will be continuously expanded to meet this need.

scholarly journals Characterization of death from colorectal cancer in Mato Grosso State/Legal Amazon/Brazil, 2000-2016

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R S Caló ◽  
B S N Souza ◽  
N D Galvão ◽  
R A G Souza ◽  
J C S Oliveira ◽  
...  
Keyword(s):  
Public Health ◽  
Colorectal Cancer ◽  
International Classification Of Diseases ◽  
Health Policies ◽  
Rectosigmoid Junction ◽  
Mato Grosso ◽  
Public Health Policies ◽  
Goods And Services ◽  
Classification Of Diseases ◽  
Using Data

Abstract Background Colorectal cancer has been one of the cancers that most contributed to mortality, in both sexes in the world. In Brazil, cancer is among the top five causes of death and colorectal cancer is ranked on the fifth position. Of the Federative Units belonging to the Legal Amazon, Mato Grosso stands out for the higher adjusted incidence of colorectal cancer for both sexes. Thus, the objective is to characterize deaths from colorectal cancer, according to sociodemographic variables in Mato Grosso from 2000 to 2016. Methods A descriptive study was carried out, using data from the Mortality Information System, made available by the Department of Health of the Mato Grosso State. Deaths of all ages were selected, whose basic cause was identified by the codes from the International Classification of Diseases: (C.18) colon cancer, (C.19) rectosigmoid junction cancer, (C.20) rectal cancer or (C.21) anus cancer. Results Between 2000 and 2016, 31,607 deaths from cancer were registered. Of these, 1,750 (5.6%) were due to colorectal cancer. An increased number of deaths was observed at the end of the period, with a variation from 46 deaths in 2000 from 173 in 2016. Highest frequency was verified in men (51.3%), people aged 60 years or older (59.7%), black (54.6%), married (52.3%) and those with primary education (55.2%). According to Brazilian occupation classification options or those answers filled out on the death certificate, highest frequency were for “Retired” (26.2%), “Housewife” (23.1%), Agricultural/Forestry and Fisheries” (11.3%) and “Production of Industrial Goods and Services” (10.3%). Conclusions This study evidenced the increased number of deaths due to colorectal cancer in Mato Grosso State, and identified priority groups for interventions through public health policies which should include screening and early diagnosis to cope with the disease. Key messages Evidenced the increased number of deaths due to colorectal cancer in Mato Grosso State. Identified priority groups for interventions through public health policies.

Epidemiological surveillance and performance assessment: the two roles of health indicators during the COVID-19 pandemic

2021 ◽  
Vol 17 (2) ◽  
pp. 186-203
Author(s):  
Nathan Genicot
Keyword(s):  
Public Health ◽  
Performance Assessment ◽  
Health Indicators ◽  
Health Policies ◽  
Epidemiological Surveillance ◽  
Public Health Policies ◽  
History Of ◽  
And Performance ◽  
The One ◽  
Massive Development

AbstractThe COVID-19 pandemic has given rise to the massive development and use of health indicators. Drawing on the history of international public health and of the management of infectious disease, this paper attempts to show that the normative power acquired by metrics during the pandemic can be understood in light of two rationales: epidemiological surveillance and performance assessment. On the one hand, indicators are established to evaluate and rank countries’ responses to the outbreak; on the other, the evolution of indicators has a direct influence on the content of public health policies. Although quantitative data are an absolute necessity for coping with such disasters, it is critical to bear in mind the inherent partiality and precarity of the information provided by health indicators. Given the growing importance of normative quantitative devices during the pandemic, and assuming that their influence is unlikely to decrease in the future, they call for close scrutiny.

The effects of public health policies on health inequalities: a review of reviews

The Lancet ◽  
2017 ◽  
Vol 390 ◽  
pp. S12 ◽  
Author(s):  
Katie Thomson ◽  
Frances Hillier-Brown ◽  
Adam Todd ◽  
Courtney McNamara ◽  
Tim Huijits ◽  
...  
Keyword(s):  
Public Health ◽  
Health Inequalities ◽  
Health Policies ◽  
Public Health Policies ◽  
Review Of Reviews
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