Humans perform everyday activities in a variety of situations while simultaneously using their motor, cognitive, and sensory functions, therefore they cannot be performed as a single task [1]. As a result, human activities consist of several tasks or dual tasks [2]. Dual tasking, or the action of managing several, concurrently tasks, is prevalent throughout daily life. In particular, the bulk of our mobility tasks (such as standing, walking, stepping, etc.) are performed while being interrupted by another motor and/or cognition task [3]. One characteristic of dual task is that performance on one or both tasks decline when carried out simultaneously [4]. These variations in performance are known as dual task effects (DTEs), when utilizing dual task, you may prioritize one job over another. This might result in people prioritizing mobility or cognitive activities differently [5], leading to strategies called “posture first” or “posture second” in the context of mobility [3]. Cognitive functions are skills that are rooted in the brain and enable individuals to perform tasks of varying levels of complexity, which are essential in everyday life [6].

Measuring walking speed is an appropriate and reliable way to assess and monitor functional status and overall health in various populations and overall it is a sensitive measure [7] to record the level of functional status.

In both males and females, muscle performance is greatly influenced by the level of muscle strength, which is a crucial factor [8]. Several factors play a role in determining muscle performance, including physical build, age, height, and sex [9]. Compared to females, males typically have greater physical strength, possibly due to having a higher muscle mass and lower body fat [10] in addition to females’ lower testosterone production resulting in lower muscular volume, and the influence of estrogen leading to a higher percentage of fat mass, it is impossible for females to perform at the same level as their male counterparts [11].

This study aims to explore how sex impacts dual task performance by examining the cognitive and motor abilities of individual’s male and female participants during a dual task paradigm (i.e., the ability to generate muscular strength and perform physical movements while engaging in a cognitive activity at the same time). Comprehending the correlation between sex and dual task performance is important for a variety of real-world activities that require multitasking, such as driving, where individuals need to be able to perform multiple tasks simultaneously while maintaining attention and focus. Research suggests that dual task performance can be improved with practice and training. However, it is important to note that there are limits to how much an individual can multitask effectively. If sex differences in dual task performance do exist, this knowledge could help inform the development of interventions or training programs that target these differences and improve overall performance. For example, some studies have found that females may perform better on dual task paradigms by combination of walking and engaging in a cognitive task simultaneously compared to males. Other studies have found there are no notable variations between sexes in dual task performance.

Elderly males exhibited greater postural instability compared to their female counterparts under dual task conditions [12]. A different research found that gait measures in older females show a greater degree of variation [13] compared with males. Falls are a significant public health concern, particularly among older adults. Prior research has indicated that dual task performance may be a predictor of fall risk in older adults. By investigating the effect of sex on dual task performance in adults, this study may provide insights into potential sex-specific fall risk factors and inform the development of targeted interventions to reduce fall risk in adults.

The IBM SPSS Statistics ver. 25 (IBM Corp.) was used to conduct the statistical analysis. Descriptive statistics, including mean, standard deviation, and frequencies, were computed. A significance level of p<0.05 was used to determine statistical significance.

The comparison between males and females for age and BMI was done using an independent test. The normal distribution of data was checked using the Shapiro–Wilk test, and the homogeneity between groups was tested using Levene’s test for homogeneity of variances. The effect of sex and task on cognition was investigated by mixed model ANOVA. Paired t-test was conducted for comparison of torque and speed between single and dual tasks. ANCOVA was conducted for comparison of dual task torque and speed between males and females. Unpaired t-test was conducted for comparison of DTC in muscle torque production, DTC in cognition during muscle torque production, speed-DTC and cognitive-DTC during speed measurement between males and females.

The goal of this research was to examine how sex impacts dual-task abilities in young adults, specifically in terms of motor torque, cognitive tasks, and walking speed. Additionally, the study aimed to analyze the combined impact of cognitive and motor performance on DTCs. The focus was on observing changes in dual-task performance while engaging in various cognitive tasks.

The findings of this study suggest that there are no discernible cognitive task differences between males and females during single task, dual task with torque production, and dual walking which contradict the result of Almajid and Keshner [16]. The study findings indicated significant cognitive performance differences between males and females during both sitting and Timed Up and Go Tests (TUGs). Specifically, these differences were observed in terms of the quantity of accurate answers and mistakes made during cognitive assignments. Previous research has consistently reported that females tend to outperform males in verbal fluency and memory tasks, while males tend to outperform females in mental calculation tasks [17].

According to the study results, females experienced a notable decrease in speed when performing dual tasks, while there was no significant difference in speed between males. This is consistent with the findings of Lundin-Olsson et al. [18], who found that performing a cognitive task along with a physical activity can impede motor performance and increase the falling risk but this finding contradict with the results of Almajid and Keshner [16], who observed no difference in spatiotemporal measures or DTC between healthy young females and males while performing the TUG this may be return back to the fact that all subjects participated in this study were Arabs which may have played a role in the contradiction of the results to previous studies which conducted on American females and males. It is plausible that cultural differences in gait performance should be taken into account.

The study revealed females experienced a greater decline in motor performance, specifically muscle force production and speed, during dual tasks compared to males. On the other hand, males had worse cognitive performance during dual tasks compared to females which accept the theory of Clark [19] once the demands on attention of any two activities beyond overall attention capacity, the performance on the motor task, cognitive task, or both could be impaired in comparison to single-task performance. Interestingly, new research suggests that sex may influence prioritizing during mobility tasks. For example, Agmon et al. [20] was found that females have higher motor DTE but lower cognitive DTE than males, and that sex affects the impact of personality on DTE. However, two smaller studies showed that there was no difference in DTE for cognitive and gait tasks between sexes, although males seemed to have more variety in gait than females during dual-task walking [12].

Stoet et al. [21] conducted a study that assessed the multitasking ability of both males and females in a realistic setting. Their results revealed that females performed better than males in a task that measures high-level cognitive skills, including planning, monitoring, and inhibition. These findings support the idea that posture may be more important for males than females in multitasking situations.

During a cognitive activity without priority, both males and females reduced their walking speed compared to normal walking which partially contradict our result. Females are more adaptable and responsive to the task instructions, while males’ gait speed is less affected. Although sex differences have been observed during other dual-task activities this study is the first to confirm sex variations in dual-task effects on gait [12].

On the other hand, these results also highlight differences in how males and females behave while using a cellphone while driving. Specifically, the study found that females had significantly longer brake response times and reduced stopping precision when distracted by their phone. However, when evaluated without the distraction, females exhibited faster brake response times and greater accuracy compared to males. This suggests that females prioritize cognition over motor performance, while males prioritize motor performance over cognition. These findings align with the “females follow the posture second theory” and the “males posture first theory” [22].

It has been shown that the difficulty to sustain a conversation during walking (“stop walking when talking”) is a predictor of future falls in older individuals [23]. Recently, a greater number of researches have recently studied the dual-tasking paradigm, as the first trials undertaken provided positive findings in the dual task’s capacity to be a clinical indicator of impaired cognition [24-26], fall risk [26-28] and frailty state [29,30] in elderly individuals.

de Barros et al. [31], the study conducted by the author noted that walking performance is affected by path complexity and dual-task situations. Additionally, recent studies have demonstrated that performing multiple tasks or splitting attention between tasks can lead to a decline in walking performance, even among healthy individuals [32]. This is also observed in individuals who have neurological disorders [33,34]. Earlier research has demonstrated that when older individuals are tested under dual task conditions, they exhibit a decrease in their gait velocity, cadence, and stride time variability [35,36].

Deterioration in motor performance and speed during dual tasks was greater in females than in males, while males experienced a decline in cognitive ability when performing dual tasks compared to females. The study had certain limitations, including the psychological and physical condition of the patients throughout the research. Additionally, another limitation was the lack of documentation regarding the education levels and the absence of control for general cognitive ability and mobility task chosen, the speed measurement through the OneStep application has limitations. While it is easy to use and commonly employed in clinical settings, this method only offers a basic assessment of mobility speed. Conducting further evaluations of gait, which are more extensive and yield more detailed results (such as using inertial sensors), will offer more nuanced information. Second, we only assessed one secondary cognitive task. Different cognitive tasks may be differentially challenging across sexes. So authors recommend conducting a similar study with a larger and more diverse sample population that includes individuals with varying psychological and physical conditions. Additionally, the study could benefit from including measures to control for general cognitive ability and collecting more detailed information about participants’ education levels. Further study needed to be done to clarify the relationship between anatomical sex differences and gait speed test, while also distinguishing between cultural and physical factors that may contribute to ethnic differences. We utilized OneStep to perform speed analysis of the participants’ movements. To enhance these findings, future studies could incorporate three-dimensional motion analysis systems to examine the kinematics in greater detail. Additionally, our sample consisted solely of young, healthy Arab adults. It would be beneficial for future studies to include a more diverse range of older adults, as they are at a higher risk of falling and may exhibit different motor responses.