Responsiveness of the Short Warwick Edinburgh Mental Well-Being Scale (SWEMWBS): evaluation a clinical sample

Shah, Neha; Cader, Mizaya; Andrews, William P.; Wijesekera, Dilini; Stewart‐Brown, Sarah

doi:10.1186/s12955-018-1060-2

Cited by 60 publications

(71 citation statements)

References 29 publications

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“…Paired t-tests were used to compare balance scores at admission and discharge. The effect size (ES) was calculated by dividing the observed mean change scores by the standard deviation of the first score for the same participant 29 , 30 , 31 ) . The standardized response mean (SRM) was calculated by dividing the observed mean change score by the standard deviation of the change score for the same participant 24 , 25 , 29 , 30 , 31 ) .…”

Section: Participants and Methodsmentioning

confidence: 99%

“…The effect size (ES) was calculated by dividing the observed mean change scores by the standard deviation of the first score for the same participant 29 , 30 , 31 ) . The standardized response mean (SRM) was calculated by dividing the observed mean change score by the standard deviation of the change score for the same participant 24 , 25 , 29 , 30 , 31 ) . For the ES and SRM, greater than 0.8 was considered a large change, 0.5 to 0.8 a moderate change, and 0.2 to 0.5 a small change 25 , 29 , 30 , 31 ) .…”

Section: Participants and Methodsmentioning

confidence: 99%

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Sensitivity to change and responsiveness of the Balance Evaluation Systems Test (BESTest), Mini-BESTest, and Brief-BESTest in patients with subacute cerebral infarction

Hasegawa

Matsui²,

Kishi³

et al. 2021

J Phys Ther Sci

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To compare the sensitivity to change and responsiveness of the Balance Evaluation Systems Test, Mini-Balance Evaluation Systems Test, and Brief-Balance Evaluation Systems Test in patients with subacute cerebral infarction. [Participants and Methods] Thirty patients with subacute cerebral infarction participated in this study. The Balance Evaluation Systems Test, Mini-Balance Evaluation Systems Test, Brief-Balance Evaluation Systems Test, Berg Balance Scale, and ambulatory ability were assessed on admission and discharge. Sensitivity to change was calculated using the effect size, standardized response mean, and relative efficiency. Responsiveness was analyzed by comparing the ability of the difference between the scores of the balance assessments at admission and discharge in classifying the participants' ambulatory independence. [Results] All assessments showed significant improvement from admission to discharge. The effect size of the three versions of the Balance Evaluation Systems Test ranged from 0.41 to 0.69. The standardized response mean ranged from 0.75 to 1.28. The cutoff score was 16.7% for the Balance Evaluation Systems Test, 5.5 points for the Mini-Balance Evaluation Systems Test, 1.5 points for the Brief-Balance Evaluation Systems Test, and 3.5 points for the Berg Balance Scale. [Conclusion] The sensitivity to change of the three versions of the Balance Evaluation Systems Test was high or moderate. However, the Mini-Balance Evaluation Systems Test had the highest responsiveness, as determined with the extent of ambulatory independence.

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Section: Participants and Methodsmentioning

confidence: 99%

Section: Participants and Methodsmentioning

confidence: 99%

Sensitivity to change and responsiveness of the Balance Evaluation Systems Test (BESTest), Mini-BESTest, and Brief-BESTest in patients with subacute cerebral infarction

Hasegawa

Matsui²,

Kishi³

et al. 2021

J Phys Ther Sci

View full text Add to dashboard Cite

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“…It must be noted, however, that the well-being levels were still higher than baseline and even small magnitudes of change (1-3) may be meaningful in clinical populations. 50 As discussed earlier, it may be that measuring PA using the methods described in this study prevented the identification of activities typical of a fitness centre environment. This notion is supported by the post-week-12 attendance data, which highlighted co-PARS participants were regularly attending the fitness centre whereas the usual care participants were not.…”

Section: Discussionmentioning

confidence: 90%

Pragmatic evaluation of a coproduced physical activity referral scheme: a UK quasi-experimental study

et al. 2020

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ObjectivesUK exercise referral schemes (ERSs) have been criticised for focusing too much on exercise prescription and not enough on sustainable physical activity (PA) behaviour change. Previously, a theoretically grounded intervention (coproduced PA referral scheme, Co-PARS) was coproduced to support long-term PA behaviour change in individuals with health conditions. The purpose of this study was to investigate the effectiveness of Co-PARS compared with a usual care ERS and no treatment for increasing cardiorespiratory fitness.DesignA three-arm quasi-experimental trial.SettingTwo leisure centres providing (1) Co-PARS, (2) usual exercise referral care and one no-treatment control.Participants68 adults with lifestyle-related health conditions (eg, cardiovascular, diabetes, depression) were recruited to co-PARS, usual care or no treatment.Intervention16-weeks of PA behaviour change support delivered at 4, 8, 12 and 18 weeks, in addition to the usual care 12-week leisure centre access.Outcome measuresCardiorespiratory fitness, vascular health, PA and mental well-being were measured at baseline, 12 weeks and 6 months (PA and mental well-being only). Fitness centre engagement (co-PARS and usual care) and behaviour change consultation attendance (co-PARS) were assessed. Following an intention-to-treat approach, repeated-measures linear mixed models were used to explore intervention effects.ResultsSignificant improvements in cardiorespiratory fitness (p=0.002) and vascular health (p=0.002) were found in co-PARS compared with usual care and no-treatment at 12 weeks. No significant changes in PA or well-being at 12 weeks or 6 months were noted. Intervention engagement was higher in co-PARS than usual care, though this was not statistically significant.ConclusionA coproduced PA behaviour change intervention led to promising improvements in cardiorespiratory and vascular health at 12 weeks, despite no effect for PA levels at 12 weeks or 6 months.Trial registration numberNCT03490747.

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“…In addition, epidemiological studies have revealed close associations between fruit and vegetable consumption and mental health [ 39 ], with some studies even suggesting a causal relationship [ 40 , 41 ]. Although the changes in mean SWEMWBS score were relatively small in this study, 40.0% of the participants experienced improvements exceeding the suggested threshold for statistically meaningful change at the individual level [ 42 ]. Despite improvements in mean SWEMWBS score among participants attending the targeted interventions, the changes did not reach statistical significance.…”

Section: Discussionmentioning

confidence: 99%

Changes in Health-Risk Behavior, Body Mass Index, Mental Well-Being, and Risk Status Following Participation in a Stepwise Web-Based and Face-to-Face Intervention for Prevention of Lifestyle-Related Diseases: Nonrandomized Follow-Up Cohort Study

Thilsing¹,

Sønderlund²,

Søndergaard³

et al. 2020

JMIR Public Health Surveill

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Background Recent evidence suggests the effectiveness of stepwise, targeted approaches for the prevention of lifestyle-related diseases with combinations of web-based and face-to-face interventions showing promising results. Objective This paper reports on 1-year changes in health-risk behaviors, BMI, self-rated health, mental well-being, and risk of disease at 1-year follow-up after participation in a stepwise intervention that targeted persons at high risk of disease and persons with health-risk behavior. To this end, we distinguish between participants who took up the full intervention (web-based plus face-to-face) and those who received only the web-based intervention. Methods The Early Detection and Prevention (Danish acronym: TOF) pilot study was conducted as a nonrandomized, 1-year follow-up intervention study in two municipalities in the Region of Southern Denmark. A total of 9400 citizens born between 1957 and 1986 (aged 29 to 60 years) were randomly sampled from participating general practitioner (GP) patient-list systems and were invited to take part in the study. Participants were subsequently stratified into risk groups based on their responses to a questionnaire on health-risk behavior and data from their GP’s electronic patient record (EPR) system. All participants received a digital personal health profile with individualized information on current health-risk behavior and targeted advice on relevant health-risk behavior changes. In addition, patients at high risk of disease, as indicated by their digital health profile, were offered a targeted intervention at their GP. Patients who were not deemed at high risk of disease but who exhibited health-risk behaviors were offered a targeted intervention at their municipal health center (MHC). At 1-year follow-up, health-risk behaviors, self-rated health, BMI, and mental well-being were reassessed by questionnaire, and current information on diagnoses and medical treatment was retrieved from the EPRs. Results Of 598 patients at high risk of disease or with health-risk behavior, 135 took up the targeted intervention at their GP or MHC and 463 received the personal health profile only. From baseline to 1-year follow-up, the number of patients with unhealthy eating habits decreased, mean mental well-being increased, and smoking prevalence decreased in patients who had received the digital personal health profile alone. Among patients who took up the targeted intervention, unhealthy eating habits and sedentary lifestyles decreased and significant reductions in mean BMI were observed. At 1-year follow up, no health-risk behaviors were detected among 17.4% of patients who at baseline had exhibited health-risk behaviors or high risk of disease. Conclusions A stepwise targeted preventive approach using web-based and face-to-face elements may lead to favorable lifestyle changes. Specifically, a web-based approach may improve smoking and eating habits and mental well-being, whereas supplementary face-to-face interventions may be necessary to improve exercise habits and BMI. Trial Registration ClinicalTrials.gov NCT02797392; https://clinicaltrials.gov/ct2/show/NCT02797392 International Registered Report Identifier (IRRID) RR2-10.1186/s12875-018-0820-8

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Responsiveness of the Short Warwick Edinburgh Mental Well-Being Scale (SWEMWBS): evaluation a clinical sample

Cited by 60 publications

References 29 publications

Sensitivity to change and responsiveness of the Balance Evaluation Systems Test (BESTest), Mini-BESTest, and Brief-BESTest in patients with subacute cerebral infarction

Sensitivity to change and responsiveness of the Balance Evaluation Systems Test (BESTest), Mini-BESTest, and Brief-BESTest in patients with subacute cerebral infarction

Pragmatic evaluation of a coproduced physical activity referral scheme: a UK quasi-experimental study

Changes in Health-Risk Behavior, Body Mass Index, Mental Well-Being, and Risk Status Following Participation in a Stepwise Web-Based and Face-to-Face Intervention for Prevention of Lifestyle-Related Diseases: Nonrandomized Follow-Up Cohort Study

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