Eriselda Mino

Prof. Eriselda Mino

Friedrich-Alexander-University Erlangen-Nürnberg

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 August 2019 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
WGWolfgang Geidl
Wolfgang Geidl
JCJohannes Carl
Johannes Carl
SCSamuel Cassar
Samuel Cassar
NLNicola Lehbert
Nicola Lehbert
EMEriselda Mino
Eriselda Mino
KPKlaus Pfeifer
Klaus Pfeifer
This study applies a cluster analysis to identify typical physical activity (PA) and sedentary behaviour (SB) patterns in people with chronic obstructive pulmonary disease (COPD) before starting pulmonary rehabilitation (PR). We implemented an observational design which assessed baseline data of objectively measured PA and SB from the STAR (Stay Active after Rehabilitation) study. A total of 355 persons wore an accelerometer (Actigraph wGT3X) for seven days before the start of their PR. Sociodemographic and disease-related parameters were assessed at the start of PR. We applied cluster analysis and compared clusters applying univariate variance analyses. Data was available for 326 persons (31.6% women; age ø = 58 years). Cluster analysis revealed four movement clusters with distinct PA and SB patterns: Sedentary non-movers (28.5%), sedentary occasional movers (41.7%), sedentary movers (19.6%), and sedentary exercisers (10.1%). The four clusters displayed varying levels of moderate PA before rehabilitation (Ø daily min: 9; 28; 38; 70). Notably, all four clusters displayed considerably long average sedentary time per day (Ø daily minutes: 644; 561; 490; 446). The clusters differed significantly in disease-related parameters of GOLD severity, FEV1, CAT, and 6-Min-Walk-Test. In addition to PA promotion, PR programs should consider the reduction of sedentary behaviour as a valuable goal.

27 September 2004 in Bone Marrow Transplantation
Verified
Journal Article
Closed access
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RKR Kobayashi
R Kobayashi
AIA Iguchi
A Iguchi
MNMasatoshi Nakajima
Masatoshi Nakajima
TST Sato
T Sato
MYM Yoshida
M Yoshida
KKK Kobayashi
K Kobayashi

1 July 2021 in International Journal of Chronic Obstructive Pulmonary Disease
Verified
Journal Article
Open access
PDF file
WGWolfgang Geidl
Wolfgang Geidl
JCJohannes Carl
Johannes Carl
MSMichael Schuler
Michael Schuler
EMEriselda Mino
Eriselda Mino
NLNicola Lehbert
Nicola Lehbert
KSKonrad Schultz
Konrad Schultz
Purpose: This Stay Active after Rehabilitation (STAR) study examined the effects of a pedometer-based behavioral intervention for individuals with COPD during three weeks of inpatient pulmonary rehabilitation (PR) on patients’ physical activity levels six weeks and six months after PR, including steps (primary outcome), moderate-intensity physical activity, and sedentary time as well as patient quality of life, symptoms, and other psychological and clinical variables. Patients and Methods: Rehabilitation patients with COPD wore a triaxial accelerometer (ActiGraph wGT3X) for seven days two weeks before (T0) as well as six weeks (T3) and six months (T4) after PR. In addition to the three-week inpatient PR (control group, CG), the randomly allocated intervention group (IG) received a brief pedometer-based behavioral intervention with the application of the following behavior-change techniques: performing the behavior, individual goal-setting, self-monitoring, and feedback. The effects were analyzed using analysis of covariance with an intention-to-treat approach. Results: A total of 327 patients (69% male, age: 58 years, FEV1 (%): 53.5, six-minute walk distance: 447.8 m) were randomly allocated to either the IG (n = 167) or CG (n = 160). Although both groups increased their daily steps after PR (IG: MT3-T0 = 1152, CG: MT3-T0 = 745; IG: MT4-T0 = 795, CG: MT4-T0 = 300), the slightly higher increases in daily steps in the IG compared to the CG at T3 (Δ 388 steps, d = 0.16) and T4 (Δ 458 steps, d = 0.15) were not statistically significant (p > 0.05 for all). Patients in both groups showed moderate to high pre-post-changes in terms of secondary outcomes, but no advantage favoring the IG was found. Conclusion: The results show that adding a pedometer-based behavioral intervention to standard German three-week inpatient PR for COPD patients did not result in more physical activity in terms of steps and moderate-intensity physical activity or less sedentary time. However, both groups (IG and CG) showed remarkably enhanced physical activity levels six weeks and six months after PR, as well as improvements in other secondary outcomes (eg, quality of life).

2 August 2024 in International Journal of Behavioral Nutrition and Physical Activity
Verified
Journal Article
Open access
PDF file
EMEriselda Mino
Eriselda Mino
KPKlaus Pfeifer
Klaus Pfeifer
CHCoral L. Hanson
Coral L. Hanson
MSMichael Schuler
Michael Schuler
ABAnna Brandmeier
Anna Brandmeier
WGWolfgang Geidl
Wolfgang Geidl
Background: Physical activity referral schemes (PARS) are composed of various components, such as a written prescription or a person-centered approach. The role of these components in their effectiveness is yet to be understood. Therefore, we aimed to explore the relationships between PARS components and physical activity, scheme uptake, and adherence rate; and to estimate the effect of PARS. Methods: We searched Scopus, PubMed, Web of Science, CINAHL, ScienceDirect, SpringerLink, HTA, Wiley Online Library, SAGE Journals, Taylor & Francis, Google Scholar, OpenGrey, and CORE. Eligible studies were published between 1990 and November 2023 in English or German, investigated PARS with participants aged ≥ 16 years, and reported physical activity, scheme uptake, or scheme adherence. Separate random-effects meta-analysis by comparison group were conducted for physical activity. Scheme uptake and adherence rates were pooled using proportional meta-analysis. The components were analyzed via univariate meta-regression. We rated the risk of bias using RoB2 and ROBINS-I, and the certainty of evidence using GRADE. Results: Fifty-two studies were included. PARS were more effective in increasing physical activity than usual care (k = 11, n = 5046, Hedges’ g = 0.18, 95%CI 0.12 to 0.25; high certainty of evidence). When PARS were compared with physical activity advice or enhanced scheme versions, the pooled Hedges’ g values for physical activity were -0.06 (k = 5, n = 1082, 95%CI -0.21 to 0.10; low certainty of evidence), and 0.07 (k = 9, n = 2647, 95%CI -0.03 to 0.18; low certainty of evidence) respectively. Scheme uptake was 87% (95%CI 77% to 94%, k = 14, n = 5000) across experimental studies and 68% (95%CI 51% to 83%, k = 14, n = 25,048) across non-experimental studies. Pooled scheme adherence was 68% (95%CI 55% to 80%, k = 16, n = 3939) and 53% (95%CI 42% to 63%, k = 18, n = 14,605). The meta-regression did not detect any significant relationships between components and physical activity or scheme uptake. A person-centered approach, screening, and brief advice were positively associated with scheme adherence, while physical activity sessions were negatively associated. Conclusion: PARS are more effective in increasing physical activity than usual care only. We did not identify any components as significant predictors of physical activity and scheme uptake. Four components predicted scheme adherence, indicating that the component-effectiveness relationship warrants further research.

27 November 2023 in International Journal of Behavioral Nutrition and Physical Activity
Verified
Journal Article
Open access
PDF file
EMEriselda Mino
Eriselda Mino
CHCoral L. Hanson
Coral L. Hanson
INInga Naber
Inga Naber
AWAnja Weissenfels
Anja Weissenfels
SMSheona McHale
Sheona McHale
WGWolfgang Geidl
Wolfgang Geidl
Background: Physical activity referral schemes (PARS) are complex multicomponent interventions that represent a promising healthcare-based concept for physical activity (PA) promotion. This systematic review and narrative synthesis aimed to identify the constitutive components of PARS and provide an overview of their effectiveness. Methods: Following a published protocol, we conducted a systematic search of PubMed, Scopus, Web of Science, CINAHL, ScienceDirect, SpringerLink, HTA, Wiley Online Library, SAGE Journals, Taylor & Francis, Google Scholar, OpenGrey, and CORE from 1990 to January 2023. We included experimental, quasi-experimental, and observational studies that targeted adults participating in PARS and reported PA outcomes, scheme uptake, or adherence rates. We performed an intervention components analysis using the PARS taxonomy to identify scheme components and extracted data related to uptake, adherence, and PA behavior change. We combined these to provide a narrative summary of PARS effectiveness. Results: We included 57 studies reporting on 36 PARS models from twelve countries. We identified 19 PARS components: a patient-centered approach, individualized content, behavior change theory and techniques, screening, brief advice, written materials, a written prescription, referral, baseline and exit consultation, counselling support session(s), PA sessions, education session(s), action for non-attendance, structured follow-up, a PA network, feedback for the referrer, and exit strategies/routes. The PARS models contained a mean of 7 ± 2.9 components (range = 2–13). Forty-five studies reported PA outcome data, 28 reported uptake, and 34 reported adherence rates. Of these, approximately two-thirds of studies reported a positive effect on participant PA levels, with a wide range of uptake (5.7–100.0%) and adherence rates (8.5–95.0%). Conclusions: Physical activity referral scheme components are an important source of complexity. Despite the heterogeneous nature of scheme designs, our synthesis was able to identify 19 components. Further research is required to determine the influence of these components on PARS uptake, adherence, and PA behavior change. To facilitate this, researchers and scheme providers must report PARS designs in more detail. Process evaluations are also needed to examine implementation and increase our understanding of what components lead to which outcomes. This will facilitate future comparisons between PARS and enable the development of models to maximize impact.

18 June 2021 in BMJ Open
Verified
Journal Article
Open access
PDF file
EMEriselda Mino
Eriselda Mino
WGWolfgang Geidl
Wolfgang Geidl
INInga Naber
Inga Naber
AWAnja Weissenfels
Anja Weissenfels
SKSarah Klamroth
Sarah Klamroth
KPKlaus Pfeifer
Klaus Pfeifer
Introduction In its attempt to establish effective physical activity promotion methods, research on physical activity referral schemes (PARS) is attracting significant attention. Sometimes known as physical activity on prescription schemes, PARS involve a well-defined procedure whereby a primary healthcare professional introduces a participant to the topic of physical activity and employs prescription or referral forms to connect the participant to physical activity opportunities, such as local fitness offers. The planned systematic review will focus on these referral routes and scheme components and how they are integrated into various PARS models worldwide. We seek to identify the evidence-based core components that play the most important roles in the effectiveness of PARS. Methods and analysis The development and reporting of the protocol follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidelines. We plan to conduct a systematic main literature search on PubMed, Scopus, Web of Science, CINAHL, HTA, SpringerLink and other databases. We will include studies that report outcomes on physical activity, PARS uptake and adherence rates or descriptive information about PARS models. We intend for all review stages, citation screening, data extraction and risk of bias assessment to be conducted by at least two independent reviewers. As a broad spectrum of study designs, including randomised and non-randomised studies of interventions and mixed methods, will be eligible, we will use three separate tools to assess the risk of bias in individual studies. The data will be primarily synthesised narratively, following Intervention Component Analysis. If the data allow, we will perform a random-effects meta-analysis and meta-regression to investigate the impact of specific PARS components on effect sizes. Ethics and dissemination This systematic review does not require formal ethics approval. The results will be submitted to a peer-reviewed journal and international conferences to reach the scientific community. PROSPERO registration number CRD42021233229.