Statistically Modeling the Predictive Factors of Balance and Movement Function Among People over 50 Years old in Bokan city 2017

Abstract

Aim: As people grow older and start aging, some of their physiological and psychosocial functions gradually lose, resulting in degradation in their functional status and increased vulnerability and dependence. Considering the fact that according to various studies, most elderly people have movement problems, the aim of this study is to statistically modelling the predictive factors of balance and movement function among people over 50 years old in Bokan city, 2017. Method: A list of people over 50 years old from each center (floor) has been prepared and a suitable size sample has been selected randomly from the list. The participants were invited to the center to fill in the questionnaire and related evaluations. Eventually, 1201 people entered the study. Information of this research was completed by questionnaire and related tests. The demographic information checklist (age, sex, marital status), socioeconomic status (degree of education, economic status), history of diseases, anthropometric index (height, weight), for computing the mass index body (BMI), a questionnaire of depression, cognitive, physical activity and movement restriction were parts of the completed cases. The test was used to measure the balance and sitting and rising test (TUG) was used for measuring the movement function. In this study, structural equation modeling method was used to investigate the relationship between internal variables of balance and movement function for people over 50 years old with exogenous variables of physical activity, cognitive status, depression, social support, visual status, hearing condition, living environment, number of diseases, gender, marital status, age, fall, education level and anthropometric index. Results: The average age of participants was 59.13 ± 7.88. Most of them were married about1018 person (87.2%) and the most were uneducated about 722 people (61.9%). 85.5% of participants had no movement limitation to average limitation and 13.5% of them had severe movement limitation. The average movement function in sitting and rising test (TUG) was 10.7 ± 3.53 seconds. In the designed model, there are statistically significant relationships between demographic characteristics, economic situation, cognitive perception, living environment (part of a house, pilot) and BMI with the movement function and also there was a meaningful relationship between demographic characteristics, status Visual and living environment (villa, duplex, pilot) with balance (P-value <0.05). Conclusion: The results of this study indicate that there are various factors of reliable predictors for performance and movement limitation and, as a result, the independence and quality of life of the elderly, some of which can be adjusted and corrected. Therefore, it seems that interventional programs are a useful method for maintaining movement performance, balance and well-being of the elderly, which leads to an increase in the life quality of the elderly.