Relationship between stair ascent gait speed, bone density and gait characteristics of postmenopausal women

The effects of various stair-climbing exercises on functional mobility and trunk muscle activation in community-dwelling older adults: A pilot randomized controlled trial

BACKGROUND

Stair-climbing (SC) is an essential daily life skill, and stair-climbing exercise (SCE) serves as a valuable method for promoting physical activity in older adults. This study aimed to compare the impact of SCEs with heel contact (HC) and heel off (HO) during SC on functional mobility and trunk muscle (TM) activation amplitudes in community-dwelling older adults.

METHODS

In the pilot randomized controlled trial, participants were randomly allocated to either the HC group (n = 17; mean age 75.9 ± 6.3 years) or the HO group (n = 17; mean age 76.5 ± 4.6 years). The HC participants performed SCE with the heel of the ankle in contact with the ground, while the HO participants performed SCE with the heel of the ankle off the ground during SC. Both groups participated in progressive SCE for one hour per day, three days per week, over four consecutive weeks (totaling 12 sessions) at the community center. We measured timed stair-climbing (TSC), timed up and go (TUG), and electromyography (EMG) amplitudes of the TMs including rectus abdominis (RA), external oblique (EO), transverse abdominus and internal oblique abdominals (TrA-IO), and erector spinae (ES) during SC before and after the intervention.

RESULTS

Both groups showed a significant improvement in TSC and TUG after the intervention (P < .01, respectively), with no significant difference between the groups. There was no significant difference in the EMG activity of the TMs between the groups after the intervention. The amplitude of TMs significantly decreased after the intervention in both groups (P < .01, respectively).

CONCLUSION

Both SCE methods could improve balance and SC ability in older adults while reducing the recruitment of TMs during SC. Both SCE strategies are effective in improving functional mobility and promoting appropriate posture control during SC in older adults.

The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review

BACKGROUND

Falls and their consequences are a serious public health problem worldwide. Each year, 37.3 million falls requiring medical attention occur. Therefore, the analysis of fall risk is of great importance for prevention. Artificial intelligence (AI) represents an innovative tool for creating predictive statistical models of fall risk through data analysis.

OBJECTIVE

The aim of this review was to analyze the available evidence on the applications of AI in the analysis of data related to postural control and fall risk.

METHODS

A literature search was conducted in 6 databases with the following inclusion criteria: the articles had to be published within the last 5 years (from 2018 to 2024), they had to apply some method of AI, AI analyses had to be applied to data from samples consisting of humans, and the analyzed sample had to consist of individuals with independent walking with or without the assistance of external orthopedic devices.

RESULTS

We obtained a total of 3858 articles, of which 22 were finally selected. Data extraction for subsequent analysis varied in the different studies: 82% (18/22) of them extracted data through tests or functional assessments, and the remaining 18% (4/22) of them extracted through existing medical records. Different AI techniques were used throughout the articles. All the research included in the review obtained accuracy values of >70% in the predictive models obtained through AI.

CONCLUSIONS

The use of AI proves to be a valuable tool for creating predictive models of fall risk. The use of this tool could have a significant socioeconomic impact as it enables the development of low-cost predictive models with a high level of accuracy.

TRIAL REGISTRATION

PROSPERO CRD42023443277; https://tinyurl.com/4sb72ssv.

[Effect of Personality and Physical Activity on Bone Mineral Density in College Students: A Cross-sectional Survey]

Objective

To explore the correlation between 5 dimensions of personality, physical activity (PA), and bone mineral density (BMD) among college students.

Methods

A total of 705 undergraduates (329 males and 376 females) from a sports university were recruited. Based on their sports training experience, the participants were divided into 6 major sports groups, including ball sports, skilled sports, competitive sports, track and field, leisure sports, and no sports. Students with professional sports training (ie, athletes) were categorized into ballgame, skilled, competitive, and track and field groups, while the rest (non-athletes) were placed in leisure and no sports groups. Ten-Item Personality Inventory in China (TIPI-C), or the 5-factor model of personality, was used to measure the 5 personality dimensions of openness, conscientiousness, extraversion, agreeableness, and neuroticism of the participants. Their daily level was measured with GT3X+ triaxial accelerometers over 7 continuous days. Then, parameter thresholds were established and the participants' PA was categorized as light (LPA), moderate (MPA), and vigorous (VPA). The bone mineral density (BMD) of arms, legs, and the total body was measured using dual-energy X-ray absorptiometry. The mediation effect of PA and that of the 5-factor model of personality were tested using PROCESS and Sobel tests. The correlation between the 5 personality dimensions, PA, and BMD was explored, with PA and the 5 personality dimensions as mediator variables. A comparison of PA and BMD was conducted across the 6 major sports groups. The correlation between PA of different intensities and BMD was also analyzed using Spearman's correlation.

Results

Although there were 90 potential relationships between PA, the 5 personality dimensions, and BMD, only 3 were significant. When conscientiousness was used as an independent variable and MPA, as a mediating variable, statistically significant differences in PROCESS results were reported (P<0.01), with MPA mediating 17.3% of arm BMD, 19.4% of leg BMD, and 19.1% of total body BMD. Among male students, there was no significant difference in LPA among the 6 groups, but significant differences in MPA and VPA (P<0.05). Among female students, significant differences in LPA, MPA, and VPA were observed in all 6 groups and the differences between MPA and VPA were especially prominent (P<0.05). For both males and females, the differences in arm, leg, and total body BMD across the 6 groups were statistically significant (P<0.05), with these differences being more pronounced in females. There was no correlation between LPA and BMD in either sex. MPA and VPA were positively correlated with BMD, with MPA correlating with arm, leg, and total body BMD (males, Spearman's correlation [rs]: 0.11-0.14, P<0.05; females, rs: 0.20-0.23, P<0.01). VPA correlated with arm, leg, and total body BMD (males, rs: 0.11-0.23, P<0.05; females, rs: 0.26-0.30, P<0.01).

Conclusion

MPA is associated with BMD in college students scoring high in the conscientiousness dimension of personality. In addition, there is a weak positive correlation between both MPA and VPA and BMD levels, with these associations being more pronounced in females.