Methodological considerations for kinematic analysis of upper limbs in healthy and poststroke adults. Part I: A systematic review of sampling and motor tasks

IntroductionBasketball is a contact sport with complex movements that include jumps, turns and changes in direction, which cause frequent musculoskeletal injuries in all regions of the body.ObjectiveThis is an integrative systematic review of the epidemiology of musculoskeletal injuries in basketball.MethodsThis is an integrative review based on the following sources of information: PubMed/MEDLINE, Embase, LILACS, BBO-Biblioteca Brasileira de Odontologia, IBECS-Índice Bibliográfico Espanhol em Ciências da Saúde, nursing journals, dental journals and core clinical journals in the last 10 years with studies addressing the general epidemiology of sports injuries in basketball.ResultsIn total, 268 articles were selected, of which 11 were eligible for the integrative review. A total of 12 960 injuries were observed, most of which occurred in the lower limbs (63.7%), with 2832 (21.9%) ankle injuries and 2305 (17.8%) knee injuries. Injuries in the upper limbs represented 12%–14% of the total injuries. Children and adolescents received head injuries more often compared with the other age and skill categories. In the adult category, there was an increased prevalence of injuries in the trunk and spine. In the upper limbs, hands, fingers and wrists were affected more frequently than the shoulders, arms and forearms. In the masters’ category, there was an increase in the incidence of thigh injuries.ConclusionThe lower limbs were the most affected, with the ankle and knee joints having the highest prevalence of injuries regardless of gender and category. Further randomised studies, increased surveillance and epidemiological data collection are necessary to improve knowledge on sports injuries in basketball and to validate the effectiveness of preventive interventions.

Download Full-text

A systematic review of the association between emotions and eating behaviour in normal and overweight adult populations

Journal of Health Psychology ◽

10.1177/1359105317697813 ◽

2017 ◽

Vol 24 (1) ◽

pp. 3-24 ◽

Cited By ~ 24

Author(s):

Tracey J Devonport ◽

Wendy Nicholls ◽

Christopher Fullerton

Keyword(s):

Systematic Review ◽

Standard Deviation ◽

Emotional Eating ◽

Eating Behaviour ◽

Quality Analysis ◽

Future Research ◽

Eating Behaviours ◽

Overweight Adult ◽

Methodological Considerations ◽

Meta Analyses

A systematic review was completed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive search of four electronic databases (2004–2015) yielded 60,017 articles, of which 29 met inclusion criteria. Included studies performed poorly on data quality analysis in terms of randomisation and controlling for confounding factors. Participant’s body mass index scores range from 19.73 (standard deviation = 1.54) to 28.4 (standard deviation = 1.4) kg/m2. Where positive and negative affects were compared, food was more likely to be consumed in response to positive affect. With regard to discrete emotions; stress, depression and sadness consistently elicited eating behaviours that fall outside of nutritional recommendations (e.g. increased food intake or poor nutritional food choices). The role of moderators including individual differences in dietary restraint and emotional eating, as well as methodological considerations, such as means of eliciting and measuring emotions, may account for equivocality with regard to some emotion and eating associations. This article concludes with recommendations for future research and implications for practice.

Download Full-text

Physical Activity in Rheumatoid Arthritis: A Systematic Review

Journal of Physical Activity and Health ◽

10.1123/jpah.9.7.1036 ◽

2012 ◽

Vol 9 (7) ◽

pp. 1036-1048 ◽

Cited By ~ 67

Author(s):

Marie Tierney ◽

Alexander Fraser ◽

Norelee Kennedy

Keyword(s):

Rheumatoid Arthritis ◽

Physical Activity ◽

Systematic Review ◽

Population Group ◽

Evidence Base ◽

Current Evidence ◽

Activity Levels ◽

Current Evidence Base ◽

Physical Activity Levels ◽

Methodological Considerations

Background:Physical activity is associated with improved health outcomes in many populations. It is assumed that physical activity levels in the rheumatoid arthritis (RA) population may be reduced as a result of symptoms of the disease. The objective of this review is to establish the current evidence base for levels of physical activity in the RA population.Methods:A systematic review was performed of 7 databases (Ema-base, MEDLINE, AMED, Biomedical Reference Collection Expanded, CINAHL, Nursing and Allied Health Collection, and SportsDiscus) up to February 2011 to examine the evidence in the area.Results:One hundred and thirty-six studies were identified through electronic searching. One hundred and six were excluded based on title and/or abstract analysis and a further 14 were excluded based on full text analysis. Sixteen studies meeting the criteria were deemed suitable for inclusion. The results of the included studies indicate that the level of physical activity may be lower among individuals with RA when compared with healthy controls or normative data.Conclusions:There are a number of methodological considerations at play within the studies reviewed which prohibits definitive conclusion on the physical activity levels of this population group. Given the known health benefits of physical activity, further research in this area appears indicated.

Download Full-text

Methodological Considerations in Evidence-Based Indian Systems of Medicine – A Systematic Review of Controlled Trials of Ayurveda and Siddha

The Journal of Alternative and Complementary Medicine ◽

10.1089/acm.2014.5366.abstract ◽

2014 ◽

Vol 20 (5) ◽

pp. A137-A137 ◽

Cited By ~ 1

Author(s):

Primrose Beryl ◽

Werner Vach

Keyword(s):

Systematic Review ◽

Controlled Trials ◽

Evidence Based ◽

Methodological Considerations

Download Full-text

Methodological considerations for linking household and healthcare provider data for estimating effective coverage: a systematic review

BMJ Open ◽

10.1136/bmjopen-2020-045704 ◽

2021 ◽

Vol 11 (8) ◽

pp. e045704

Author(s):

Emily D Carter ◽

Hannah H Leslie ◽

Tanya Marchant ◽

Agbessi Amouzou ◽

Melinda K Munos

Keyword(s):

Systematic Review ◽

Healthcare Provider ◽

Health Benefit ◽

Data Sources ◽

Geographical Information ◽

Effective Coverage ◽

Combining Data ◽

Methodological Considerations ◽

The Impact ◽

Existing Data

ObjectiveTo assess existing knowledge related to methodological considerations for linking population-based surveys and health facility data to generate effective coverage estimates. Effective coverage estimates the proportion of individuals in need of an intervention who receive it with sufficient quality to achieve health benefit.DesignSystematic review of available literature.Data sourcesMedline, Carolina Population Health Center and Demographic and Health Survey publications and handsearch of related or referenced works of all articles included in full text review. The search included publications from 1 January 2000 to 29 March 2021.Eligibility criteriaPublications explicitly evaluating (1) the suitability of data, (2) the implications of the design of existing data sources and (3) the impact of choice of method for combining datasets to obtain linked coverage estimates.ResultsOf 3805 papers reviewed, 70 publications addressed relevant issues. Limited data suggest household surveys can be used to identify sources of care, but their validity in estimating intervention need was variable. Methods for collecting provider data and constructing quality indices were diverse and presented limitations. There was little empirical data supporting an association between structural, process and outcome quality. Few studies addressed the influence of the design of common data sources on linking analyses, including imprecise household geographical information system data, provider sampling design and estimate stability. The most consistent evidence suggested under certain conditions, combining data based on geographical proximity or administrative catchment (ecological linking) produced similar estimates to linking based on the specific provider utilised (exact match linking).ConclusionsLinking household and healthcare provider data can leverage existing data sources to generate more informative estimates of intervention coverage and care. However, existing evidence on methods for linking data for effective coverage estimation are variable and numerous methodological questions remain. There is need for additional research to develop evidence-based, standardised best practices for these analyses.

Download Full-text