Spine Curve Measures Taken in Individuals with Osteoporosis and Osteopenia Using the IONmed Mobile Phone Application Are Highly Consistent with Digital Inclinometer Measures

MacIntyre, Norma J.; Recknor, Chris; Recknor, Julie C.

doi:10.1155/2014/508414

Cited by 4 publications

(10 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As stated, previous research with the SFM-5 has shown predictive validity regarding osteoporotic fracture (MacIntyre et al, 2014). This study, however, focuses on utility in predicting hospitalization at 12, 24, and 36 months.…”

Section: Research-article20212021mentioning

confidence: 92%

“…1 Youngstown State University, OH, USA 2 United Osteoporosis Centers, Gainesville, GA, USA making these individuals more susceptible to vertebral fracture (MacIntyre et al, 2014). In fact, SFM is predictive of VCF at 1 and 3 years, as is FnBMD (MacIntyre et al, 2013).…”

Section: Research-article20212021mentioning

confidence: 99%

“…Osteoporosis and other age related changes related to posture and movement can significantly impact movement patterns. MacIntyre et al (2009) , explain that older adults are more likely to develop kyphosis, which can alter movement patterns associated with everyday tasks, making these individuals more susceptible to vertebral fracture ( MacIntyre et al, 2014 ). In fact, SFM is predictive of VCF at 1 and 3 years, as is FnBMD ( MacIntyre et al, 2013 ).…”

Section: Introductionmentioning

confidence: 99%

“…Analyzing normal and compensatory movement due to osteoporosis offers practical insight and allows for more individualized intervention. The prior literature indicate that the SFM is an effective way to measure habitual motion and predicts future fracture ( MacIntyre et al, 2013 , 2014 ; Recknor et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Hospitalization in High Fracture Risk Older Adults with Osteoporosis Using the Safe Functional Motion Test: A Longitudinal Analysis

Dussen

Recknor

2021

Gerontology and Geriatric Medicine

Self Cite

View full text Add to dashboard Cite

The Safe Functional Motion Test (SFM-5) is a five item performance based clinical assessment tool quantifying habitual daily movement that may increase the risk of osteoporosis and fractures. Fractures are a major cause of hospitalization and contributor to increased health care utilization costs. A sample of 1,700 adults, aged 40 and older, from an osteoporosis specialty clinic were evaluated to determine if the initial SFM-5 score had predictive utility for determining inpatient hospitalization at 12, 24, and 36 months post fracture. When adjusted for sex, age, and prior hospitalization, logistic regression analyses indicated that the SFM-5 score significantly predicted inpatient hospitalization within 12 months, 24 months, and 36 months. For every 10 point decrease in the SFM-5 score, the 1 year risk of hospitalization increased by 24%. The SFM-5 is a tool to use when assessing habitual functional movements and hospitalization risk among high-fracture risk adults.

show abstract

Section: Research-article20212021mentioning

confidence: 92%

Section: Research-article20212021mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hospitalization in High Fracture Risk Older Adults with Osteoporosis Using the Safe Functional Motion Test: A Longitudinal Analysis

Dussen

Recknor

2021

Gerontology and Geriatric Medicine

Self Cite

View full text Add to dashboard Cite

show abstract

“…All selected articles were published in journals over the preceding 8 years (2014-2021), with a notable increase in publications since 2017. The publications comprised feasibility studies [31][32][33][34][35][36][37][38][39], design and development articles [40][41][42][61][62][63], and case studies [43][44][45][46][47]. Among these studies, 41% (13/32) of articles were RCTs [36,37,[48][49][50][51][52][53][54][55][56][57][58].…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis

Alhussein¹,

Hadjileontiadis²

2022

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

Background Osteoporosis is the fourth most common chronic disease worldwide. The adoption of preventative measures and effective self-management interventions can help improve bone health. Mobile health (mHealth) technologies can play a key role in the care and self-management of patients with osteoporosis. Objective This study presents a systematic review and meta-analysis of the currently available mHealth apps targeting osteoporosis self-management, aiming to determine the current status, gaps, and challenges that future research could address, as well as propose appropriate recommendations. Methods A systematic review of all English articles was conducted, in addition to a survey of all apps available in iOS and Android app stores as of May 2021. A comprehensive literature search (2010 to May 2021) of PubMed, Scopus, EBSCO, Web of Science, and IEEE Xplore was conducted. Articles were included if they described apps dedicated to or useful for osteoporosis (targeting self-management, nutrition, physical activity, and risk assessment) delivered on smartphone devices for adults aged ≥18 years. Of the 32 articles, a random effects meta-analysis was performed on 13 (41%) studies of randomized controlled trials, whereas the 19 (59%) remaining studies were only included in the narrative synthesis as they did not provide enough data. Results In total, 3906 unique articles were identified. Of these 3906 articles, 32 (0.81%) articles met the inclusion criteria and were reviewed in depth. The 32 studies comprised 14,235 participants, of whom, on average, 69.5% (n=9893) were female, with a mean age of 49.8 (SD 17.8) years. 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 (Hedges g −1.09, 95% CI −1.68 to −0.45) and disability (Hedges g −0.77, 95% CI −1.59 to 0.05). The posttreatment effect of the digital intervention was significant for physical function (Hedges g 2.54, 95% CI −4.08 to 4.08) but nonsignificant for well-being (Hedges g 0.17, 95% CI −1.84 to 2.17), physical activity (Hedges g 0.09, 95% CI −0.59 to 0.50), anxiety (Hedges g −0.29, 95% CI −6.11 to 5.53), fatigue (Hedges g −0.34, 95% CI −5.84 to 5.16), calcium (Hedges g −0.05, 95% CI −0.59 to 0.50), vitamin D intake (Hedges g 0.10, 95% CI −4.05 to 4.26), and trabecular score (Hedges 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 valuable tools for patients and health professionals. However, most of the apps that are currently available lack clinically validated evidence of their efficacy and focus on a limited number of symptoms. A more holistic and personalized approach within a cocreation design ecosystem is needed. Trial Registration PROSPERO 2021 CRD42021269399; https://tinyurl.com/2sw454a9

show abstract

Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis (Preprint)

Alhussein¹,

Hadjileontiadis²

2021

Preprint

View full text Add to dashboard Cite

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.

show abstract

Spine Curve Measures Taken in Individuals with Osteoporosis and Osteopenia Using the IONmed Mobile Phone Application Are Highly Consistent with Digital Inclinometer Measures

Cited by 4 publications

References 22 publications

Hospitalization in High Fracture Risk Older Adults with Osteoporosis Using the Safe Functional Motion Test: A Longitudinal Analysis

Hospitalization in High Fracture Risk Older Adults with Osteoporosis Using the Safe Functional Motion Test: A Longitudinal Analysis

Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis

Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis (Preprint)

Contact Info

Product

Resources

About