Accuracy of Physical Function Questions to Predict Moderate-Vigorous Physical Activity as Measured by Hip Accelerometry

Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review

BACKGROUND

Monitoring free-living physical activity (PA) through wearable devices enables the real-time assessment of activity features associated with health outcomes and provision of treatment recommendations and adjustments. The conclusions of studies on PA and health depend crucially on reliable statistical analyses of digital data. Data analytics, however, are challenging due to the various metrics adopted for measuring PA, different aims of studies, and complex temporal variations within variables. The application, interpretation, and appropriateness of these analytical tools have yet to be summarized.

OBJECTIVE

This research aimed to review studies that used analytical methods for analyzing PA monitored by accelerometers. Specifically, this review addressed three questions: (1) What metrics are used to describe an individual's free-living daily PA? (2) What are the current analytical tools for analyzing PA data, particularly under the aims of classification, association with health outcomes, and prediction of health events? and (3) What challenges exist in the analyses, and what recommendations for future research are suggested regarding the use of statistical methods in various research tasks?

METHODS

This scoping review was conducted following an existing framework to map research studies by exploring the information about PA. Three databases, PubMed, IEEE Xplore, and the ACM Digital Library, were searched in February 2024 to identify related publications. Eligible articles were classification, association, or prediction studies involving human PA monitored through wearable accelerometers.

RESULTS

After screening 1312 articles, 428 (32.62%) eligible studies were identified and categorized into at least 1 of the following 3 thematic categories: classification (75/428, 17.5%), association (342/428, 79.9%), and prediction (32/428, 7.5%). Most articles (414/428, 96.7%) derived PA variables from 3D acceleration, rather than 1D acceleration. All eligible articles (428/428, 100%) considered PA metrics represented in the time domain, while a small fraction (16/428, 3.7%) also considered PA metrics in the frequency domain. The number of studies evaluating the influence of PA on health conditions has increased greatly. Among the studies in our review, regression-type models were the most prevalent (373/428, 87.1%). The machine learning approach for classification research is also gaining popularity (32/75, 43%). In addition to summary statistics of PA, several recent studies used tools to incorporate PA trajectories and account for temporal patterns, including longitudinal data analysis with repeated PA measurements and functional data analysis with PA as a continuum for time-varying association (68/428, 15.9%).

CONCLUSIONS

Summary metrics can quickly provide descriptions of the strength, frequency, and duration of individuals' overall PA. When the distribution and profile of PA need to be evaluated or detected, considering PA metrics as longitudinal or functional data can provide detailed information and improve the understanding of the role PA plays in health. Depending on the research goal, appropriate analytical tools can ensure the reliability of the scientific findings.

Standard Restrictions vs Expedited Activity After Pelvic Organ Prolapse Surgery: A Randomized Clinical Trial

Importance

Restrictions on postoperative activity following pelvic organ prolapse (POP) surgery are not evidence based. Nonetheless, many pelvic surgeons place lifting and activity restrictions on patients following surgery.

Objective

To evaluate whether expedited activity results in noninferior anatomic and symptomatic outcomes compared with standard activity restrictions after POP surgery.

Design, Setting, and Participants

This randomized noninferiority clinical trial included patients undergoing vaginal or laparoscopic apical reconstructive surgery for POP between July 1, 2020, and October 31, 2021, at a single academic tertiary referral center in Durham, North Carolina. Anatomic outcomes were assessed by masked examiners, and subjective outcomes were assessed via validated surveys, both completed at 3 months postoperatively. Patients meeting minimum physical activity criteria with at least stage II bothersome POP were eligible. A total of 218 patients were approached, of whom 123 were randomly assigned and 107 had complete outcome data and were included in the analysis.

Interventions

Patients were randomly assigned to receive standard restrictions vs expedited postoperative activity instructions.

Main Outcomes and Measures

The anatomic coprimary outcome was maximum anatomic POP support loss (SLmax), which is the most distal point of pelvic organ support loss according to the Pelvic Organ Prolapse Quantification System (noninferiority margin, 1.0 cm). The symptomatic coprimary outcome was the Pelvic Organ Prolapse Distress Inventory (POPDI) symptom score (noninferiority margin, 34.3 points). Differences between outcomes were assessed using linear regression models controlling for baseline SLmax and POPDI, respectively.

Results

Of 123 participants randomized, 107 had complete 3-month outcome data and were included in the analysis. Mean (SD) age was 62.8 (10.1) years. At 3 months, mean (SD) SLmax was -1.7 (1.4) cm in the expedited group and -1.5 (1.4) cm in the standard group (P = .44). After adjusting for baseline SLmax, the mean maximum support loss was 0.18 cm higher within the vaginal canal in the expedited group (95% CI, -0.68 to 0.33 cm). The coprimary outcome of POPDI score was a mean (SD) 23.7 (41.8) points in the expedited group vs 25.7 (39.3) points in the standard group (P = .80). After adjusting for baseline scores, mean POPDI scores were 5.79 points lower in the expedited group (95% CI, -20.41 to 8.84).

Conclusions and Relevance

The findings demonstrate that expedited activity after prolapse surgery results in noninferior anatomic and symptomatic prolapse outcomes. It is reasonable to instruct patients undergoing minimally invasive prolapse surgery to resume physical activities ad lib postoperatively.

Trial Registration

ClinicalTrials.gov Identifier: NCT04329715.

Functional performance status and risk of cardiovascular events and mortality following endovascular repair of thoracic and abdominal aortic pathology

OBJECTIVE

To characterize the association of preoperative functional performance status based on Eastern Cooperative Oncology Group (ECOG) scoring with the risk of adverse cardiovascular events, vascular events, and mortality in patients undergoing EVAR and TEVAR.

METHODS

Retrospective review of the Society for Vascular Surgery Vascular Quality Initiative, a large, multi-center, registry database was performed. All individuals undergoing EVAR (n = 18,730) and TEVAR (n = 6595) for non-ruptured aortic pathologies between 2014 and 2018 were eligible for analysis. Multivariable logistic regression was used to determine the association of pre-procedure ECOG functional performance status on risk of in-hospital adverse cardiovascular events, vascular events, and mortality.

RESULTS

The number of operations complicated by adverse cardiovascular and vascular events was 480 (2.6%) and 190 (1.0%) for EVAR and 733 (11.1%) and 219 (3.3%) for TEVAR, respectively. There were 118 (0.6%) and 240 (3.6%) in-hospital deaths following EVAR and TEVAR, respectively. Patients with ECOG grades 3 or 4 undergoing EVAR were at increased risk of cardiovascular events (OR = 1.62; 95% CI = 1.09, 2.41) and one-year mortality (HR = 2.62; 95% CI = 1.92, 3.57) compared to those with ECOG grade 0. Patients undergoing TEVAR with ECOG grade 3 or 4 were at increased risk for both inpatient death (OR = 2.77; 95% CI = 1.56, 4.9) and one-year mortality (HR = 3.27, 95% CI = 2.06, 5.21). ECOG status was not associated with an increased risk of adverse vascular events following either EVAR or TEVAR.

CONCLUSIONS

Poor preoperative functional status as assessed by ECOG score is associated with an increased risk of adverse postoperative cardiovascular events following EVAR and a higher mortality risk following both EVAR and TEVAR. Functional status assessment may be useful for risk stratification and determining procedural candidacy prior to EVAR and TEVAR.

From preoperative assessment to preoperative optimization of frail older patiens

Physiological and mental reserve decreases with age and the ability to mount a response to a stress like surgery can represent a burden to the frail and sarcopenic patient. It is necessary to evaluate the cardiorespiratory capacity and muscle strength before surgery in the older persons and prepare adequately to the same extent the marathon runner prepares before a full marathon. Assessment and stratification of risk are necessary for decision-making, but also for planning interventions aimed at improving the functional and emotional status in anticipation of surgery. Prehabilitation can improve the physiological reserve by optimizing cardiorespiratory capacity, muscle strength, and mental resiliency. Patients with low reserve and chronic medical conditions at high risk can benefit.