scholarly journals Attrition and Retention in Multidisciplinary Weight Management Interventions for Adults with Obesity: A Systematic Review

2022 ◽  
Author(s):  
Jordan D. Everitt ◽  
Enzo M. Battista-Dowds ◽  
Daniel Heggs ◽  
Amanda L.M. Squire
Keyword(s):  
Social Support ◽  
Systematic Review ◽  
Weight Management ◽  
Literature Search ◽  
Future Research ◽  
Comprehensive Understanding ◽  
Attrition Rates ◽  
Management Interventions ◽  
Universal Definition ◽  
Definition Of

Abstract Background High rates of attrition undermine the success of weight management interventions (WMIs), but a comprehensive understanding of the factors that increase dropout risk remains absent. This is partly explained by heterogeneity of intervention design, and the absence of a universal definition of attrition. This systematic review aimed to identify the factors related to- and predictive of attrition and retention in multidisciplinary WMIs for adults with obesity. Methods The systematic literature search, conducted in Cochrane, Medline, PsycInfo, and Scopus, aimed to identify original research articles published between February 2008 and December 2019. Articles investigating attrition or retention in multidisciplinary WMIs were eligible for inclusion if interventions were for adults (≥18) with obesity identified by body mass index ≥30kg/M2 and lasted ≥6 months. Multidisciplinary was defined as ≥2 interventionist disciplines or professions, for the purpose of this review. Data was synthesised narratively. Results The literature search resulted in seventeen studies which satisfied the inclusion criteria. Attrition rates ranged from 10% at 3-months to 81% at 3-years. The sociodemographic factors associated with reduced risk of attrition included older age, living in less deprived areas, higher levels of education, and female gender. Poor mental health, low social support, high weight loss goals and poor or unsatisfactory results may increase the likelihood of participant dropout, but evidence was limited and inconclusive because of different methodologies, and only a small number of studies investigating some of the variables. Conclusions The scope for targeted retention strategies is limited because few variables were consistently associated with attrition. Until a comprehensive understanding of attrition emerges, WMIs should seek to reduce social inequities in the benefit of WMI provision. Future research should consider factors reported qualitatively, such as intervention expectations and satisfaction, social support, patient-clinician relationships, and logistical barriers. Adopting a universal definition of attrition and de-homogenising participant dropouts would advance future research. As qualitative evidence is limited, exploring participant experiences of WMIs would help understand how attrition rates can be reduced, and in-turn improve WMI effectiveness.

scholarly journals A Systematic Review of Negative Work Behavior: Toward an Integrated Definition

2021 ◽  
Vol 12 ◽  
Author(s):  
Cokkie M. Verschuren ◽  
Maria Tims ◽  
Annet H. de Lange
Keyword(s):  
Systematic Review ◽  
Literature Search ◽  
Work Behavior ◽  
Future Research ◽  
Work Behaviors ◽  
Research Model ◽  
Inclusion Criteria ◽  
Negative Work ◽  
Definition Of ◽  
Type Of Behavior

The objective of this systematic review was to identify the overlapping and unique aspects of the operationalizations of negative work behaviors (NWBs) to specify a new integrative definition of NWB. More specifically, we examined (1) how many operationalizations and conceptualizations of NWB can be identified, (2) whether these operationalizations can be categorized into facets, i. e., the nature of NWB, harm, actor types, and roles, with subcategories, (3) what the meaningful overlap in these operationalizations was, (4) whether the operationalizations tapped unique and meaningful elements, i.e., positive labels and dynamic processes, and (5) how the overlapping and unique elements of the operationalizations could be integrated into a new theory-based research model for NWB for future research. In the literature search based on the Prisma framework, Pubmed, PsycINFO, and Google Scholar, we identified k = 489 studies that met the inclusion criteria of our review. The results of these studies revealed 16 frequently studied NWB labels, e.g., bullying and aggression. Many of these could be categorized in the same way, namely, in terms of the type of behavior, type of harm, and type of actor involved in the NWB. In our new definition of NWB, we integrated the content of the overlapping and meaningful unique elements of the 16 labels.

scholarly journals Exploring the evidence base for Tier 3 weight management interventions for adults: a systematic review

2017 ◽  
Vol 7 (5) ◽  
pp. 260-272 ◽  
Author(s):  
T. J. Brown ◽  
C. O'Malley ◽  
J. Blackshaw ◽  
V. Coulton ◽  
A. Tedstone ◽  
...  
Keyword(s):  
Systematic Review ◽  
Weight Management ◽  
Evidence Base ◽  
Management Interventions ◽  
Tier 3

Digital health technologies for long term self-management of osteoporosis: a systematic review and meta-analysis (Preprint)

2021 ◽  
Author(s):  
Ghada Alhussein ◽  
Leontios Hadjileontiadis
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Digital Health ◽  
Meta Analysis ◽  
Self Management ◽  
Current Status ◽  
Future Research ◽  
Common Chronic Disease ◽  
Health Technologies ◽  
Management Interventions

BACKGROUND Osteoporosis is the fourth most common chronic disease in the world. Adopting preventative measures and effective self-management interventions help in improving bone health. Mobile health (mHealth) technologies can play a key role in osteoporosis patient care and self- management. OBJECTIVE This study presents a systematic review and meta-analysis of the currently available mHealth applications targeting osteoporosis self-management, aiming to determine the current status, gaps and challenges the future research could address, proposing appropriate recommendations. METHODS In this systematic review and meta-analysis, we searched PubMed, Scopus, EBSCO, Web of Science, and IEEExplore databases between Jan 1, 2010 and May 31, 2021, for all English publications that describe apps dedicated to or being useful for osteoporosis, targeting self-management, nutrition, physical activity, risk assessment, delivered on smartphone devices for young and older adults. In addition, a survey of all osteoporosis-related apps available in iOS and Android app stores as of May 31, 2021 was also conducted. Primary outcomes of interest were the prevention or reduction of unhealthy behaviours or improvement in healthy behaviours of the six behaviours. Outcomes were summarised in a narrative synthesis and combined using random-effects meta-analysis. RESULTS In total, 3906 unique articles were identified. Of these, 32 articles met the inclusion criteria and were reviewed in depth. The 32 studies were comprising 14 235 participants, of whom on average 69.5% were female, with a mean age of 49.8 years (SD 17.8). The app search identified 23 relevant apps for osteoporosis self-management. The meta-analysis revealed that mHealth supported interventions resulted in a significant reduction in pain (Hedge’s g -1.09, 95%CI -1.68 to -0.45) and disability (Hedge’s g -0.77, 95%CI -1.59 to 0.05). The post-treatment effect of the digital intervention was significant for physical function (Hedge’s g 2.54, 95%CI -4.08 to 4.08); yet nonsignificant for wellbeing (Hedge’s g 0.17, 95% CI -1.84 to 2.17), physical activity (Hedges’ g 0.09, 95%CI -0.59 to 0.50), anxiety (Hedge’s g -0.29, 95%CI -6.11 to 5.53), fatigue (Hedge’s g -0.34, 95%CI -5.84 to 5.16), calcium (Hedge’s g -0.05, 95%CI -0.59 to 0.50) and vitamin D (Hedge’s g 0.10, 95% CI -4.05 to 4.26) intake, and trabecular score (Hedge’s g 0.06, 95%CI -1.00 to 1.12). CONCLUSIONS Osteoporosis apps have the potential to support and improve the management of the disease and its symptoms; they also appear to be a valuable tool for patients and health professionals. However, the majority of the apps that are currently available lack clinically validated evidence of their efficacy and they most focus on a limited number of symptoms. A more holistic and personalized approach, within a co-creation design ecosystem, is needed.

Learning Non-Taxonomic Relations of Ontologies

2021 ◽  
Vol 17 (1) ◽  
pp. 97-122
Author(s):  
Mohamed Hassan Mohamed Ali ◽  
Said Fathalla ◽  
Mohamed Kholief ◽  
Yasser Fouad Hassan
Keyword(s):  
Systematic Review ◽  
State Of The Art ◽  
Research Work ◽  
Semantic Knowledge ◽  
Future Research ◽  
Automatic Extraction ◽  
Ontology Learning ◽  
Comprehensive Understanding ◽  
Specific Domain ◽  
Taxonomic Relations

Ontologies, as semantic knowledge representation, have a crucial role in various information systems. The main pitfall of manually building ontologies is effort and time-consuming. Ontology learning is a key solution. Learning Non-Taxonomic Relationships of Ontologies (LNTRO) is the process of automatic/semi-automatic extraction of all possible relationships between concepts in a specific domain, except the hierarchal relations. Most of the research works focused on the extraction of concepts and taxonomic relations in the ontology learning process. This article presents the results of a systematic review of the state-of-the-art approaches for LNTRO. Sixteen approaches have been described and qualitatively analyzed. The solutions they provide are discussed along with their respective positive and negative aspects. The goal is to provide researchers in this area a comprehensive understanding of the drawbacks of the existing work, thereby encouraging further improvement of the research work in this area. Furthermore, this article proposes a set of recommendations for future research.

A Systematic Review of Caregiver Burden following Stroke

2009 ◽  
Vol 4 (4) ◽  
pp. 285-292 ◽  
Author(s):  
H. Rigby ◽  
G. Gubitz ◽  
S. Phillips
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Systematic Review ◽  
Caregiver Burden ◽  
Search Strategy ◽  
Patient Characteristics ◽  
Future Research ◽  
Reference Sections ◽  
Caregiver Mental Health ◽  
Significant Health

Caregiver burden following stroke is increasingly recognised as a significant health care concern. A growing number of studies have evaluated the patient, caregiver, and social support factors that contribute to increased caregiver burden. We conducted a systematic review of this literature to guide future research. A search of the MEDLINE, PsyclNFO, CINAHL, and EMBASE databases (up to July 2008) and reference sections of published studies using a structured search strategy yielded 24 relevant articles. Studies were included if they evaluated predictors and/or correlates of caregiver burden in the setting of stroke. The prevalence of caregiver burden was 25–54% and remained elevated for an indefinite period following stroke. In studies that evaluated independent baseline predictors of subsequent caregiver burden, none of the factors reported were consistent across studies. In studies that assessed concurrent factors independently contributing to caregiver burden in the poststroke period, patient characteristics and social support factors were inconsistently reported. Several studies identified caregiver mental health and the amount of time and effort required of the caregiver as significant determinants of caregiver burden. Our findings highlight the need for more research to identify caregivers in need of support and guide the development and implementation of appropriate interventions to offset caregiver burden.

scholarly journals Do weight management interventions delivered by online social networks effectively improve body weight, body composition, and chronic disease risk factors? A systematic review

2016 ◽  
Vol 23 (2) ◽  
pp. 263-272 ◽  
Author(s):  
Erik A Willis ◽  
Amanda N Szabo-Reed ◽  
Lauren T Ptomey ◽  
Felicia L Steger ◽  
Jeffery J Honas ◽  
...  
Keyword(s):  
Systematic Review ◽  
Social Networks ◽  
Weight Loss ◽  
Body Weight ◽  
Weight Management ◽  
Online Social Networks ◽  
Disease Risk ◽  
Primary Source ◽  
Outcome Data ◽  
Management Interventions

Introduction Currently, no systematic review/meta-analysis has examined studies that used online social networks (OSN) as a primary intervention platform. Therefore, the purpose of this review was to evaluate the effectiveness of weight management interventions delivered through OSN. Methods PubMed, EMBASE, PsycINFO, Web of Science, and Scopus were searched (January 1990–November 2015) for studies with data on the effect of OSNs on weight loss. Only primary source articles that utilized OSN as the main platform for delivery of weight management/healthy lifestyle interventions, were published in English language peer-reviewed journals, and reported outcome data on weight were eligible for inclusion in this systematic review. Five articles were included in this review. Results One-hundred percent of the studies ( n = 5) reported a reduction in baseline weight. Three of the five studies (60%) reported significant decreases in body weight when OSN was paired with health educator support. Only one study reported a clinical significant weight loss of ≥5%. Conclusion Using OSN for weight management is in its early stages of development and, while these few studies show promise, more research is needed to acquire information about optimizing these interventions to increase their efficacy.

Change in self-esteem following paediatric weight management interventions: a systematic review and meta-analysis

2019 ◽  
Vol 13 (3) ◽  
pp. 309
Author(s):  
Melissa Su Yi Tee ◽  
Natalie Lister ◽  
Megan L. Gow ◽  
Susan J. Paxton ◽  
Katharine Aldwell ◽  
...  
Keyword(s):  
Systematic Review ◽  
Weight Management ◽  
Meta Analysis ◽  
Self Esteem ◽  
Management Interventions

scholarly journals A systematic review on business analytics

2020 ◽  
Vol 13 (2) ◽  
pp. 283
Author(s):  
Jiarui Yin ◽  
Vicenc Fernandez
Keyword(s):  
Systematic Review ◽  
Business Performance ◽  
Relevant Literature ◽  
Recent Decade ◽  
Machine Learning Techniques ◽  
Future Research ◽  
Business Analytics ◽  
And Performance ◽  
Definition Of ◽  
Industry Sectors

Purpose: Business analytics, a buzzword of the recent decade, has been applied by thousands of enterprises to help generate more values and enhance their business performance. However, many aspects of business analytics remain unclear. This study clarifies the definition of business analytics combined with its functionality and the relation between business analytics and business intelligence. Moreover, we illustrate the applications of business analytics in both business areas and industry sectors and shed light on the education in business analytics. Ultimately, to facilitate future research, we summarize several research techniques used in the literature reviewed.Design/methodology/approach: We set well-established selection criteria to select relevant literature from two widely recognized databases: Scopus and Web of Science. Afterward, we reviewed the literature and coded relevant sections in an inductive way using MAXQDA. Then we compared and synthesized the coded information.Findings: There are mainly four findings. Firstly, according to the bibliometric analysis, literature about business analytics is growing exponentially. Secondly, business analytics is a system that enabled by machine learning techniques aiming at promoting the efficiency and performance of an organization by supporting the decision-making process. Thirdly, the application of business analytics is comprehensive, not only in specific areas of a company but also in different industry sectors. Finally, business analytics is interdisciplinary, and the successful training should involve technical, analytical, and business skills.Originality/value: This systematic review, as a synthesis of the current research on business analytics, can serve as a quick guide for new researchers and practitioners in the field, while experienced scholars can also benefit from this work, taking it as a practical reference.

Sign in / Sign up

Export Citation Format

Share Document