Handgrip strength and falls in community-dwelling Egyptian seniors

Hoda Wahba, Samia Abdul-Rahman, Ahmed Mortagy

Geriatrics and Gerontology Department, Ain Shams University, Cairo, Egypt.

DOI: 10.4236/aar.2013.24016                

Abstract

Purpose: To establish a relationship between falls and handgrip strength (GS) in communitydwelling senior citizens in Egypt. Subjects: Crosssectional study enrolling 132 subjects, all ≥60 years old. Materials and Methods: History of falls in the past year and their number as well as GS measurement in both hands using Baseline^? pneumatic squeeze handheld dynamometer. Results: There is a highly significant difference between the GS of fallers and non-fallers in both hands (P = 0.000). There is a highly significant negative correlation between the mean GS and the number of falls (P = 0.003). There is a highly significant positive correlation between GS of the right hand with the number of falls (R = 0.226, P = 0.009), as for the correlation with the left GS it was a weaker positive correlation (R = 0.209, P = 0.16). Conclusion: Seniors with history of falls have a lower GS in both dominant and nondominant hands and it is directly related to the number of falls. GS is decreased in senior fallers even if within the normal range.

Keywords

Handgrip Strength; Fallers; Falls;

1. INTRODUCTION

Falls often occur in elderly persons. Approximately 30% of the community-dwelling elderly, aged 65 years and over, fall at least once per year, and about 15% fall two or more times per year [1], and up to 60% of nursing home residents fall each year; one half of these fallers have multiple episodes [2]. Prevention of falls is mandatory, because of the severe consequences of falls, such as fractures and other injuries, disability, and fear of falling [3]. Moreover, among older adults, falls are the leading cause of injury deaths [4]. It is important to identify individuals most at risk of falling, because they should be considered with priority for receiving targeted exercise interventions aimed at reducing the incidence of falls [5]. Important predictors include poor balance, muscle weakness, low level of physical activity, and poor physical performance [6].

The measurement of GS is inexpensive and easily carried out even by trained survey interviewers in nonclinical settings [7]. Therefore, several studies attempted to establish whether this measurement can be used to predict falls. This includes the study of Stella and colleagues who developed fall risk profiles including predictors that are easily measurable, in short time, and with simple tools. They found that GS predicted recurrent falling as well as more sophisticated measures as leg extension strength [8]. Moreover, other studies found that the reliability of handgrip strength was even higher than that for leg extension strength [9,10]. Similarly, Pluijm et al., in 2006 stated that “handgrip strength is thought to reflect general body strength and has been used as predictor of falls in epidemiological studies” [11].

To be able to globalize conclusions from studies and to implement guidelines, worldwide studies need to be performed. The co-authors could not find studies in the Middle-East on falls or handgrip assessment. The Egyptian population is unique due to both intrinsic and extrinsic factors. Intrinsic factors unique to each population include genetic factors, psycho-social development and diversity of the socio-economic status. As for the extrinsic factors there is the defective infrastructure of the streets, hospitals, shopping areas etc. that does not consider the special needs of elderly or aim to decrease risk of falls. Moreover, the absence, and not merely the deficiency, of structured geriatric oriented insurance and rehabilitation programs makes it quite impossible to assess, follow up and treat falls victims.

The objective of this study was to establish the relation between handgrip strength; using Baseline^® pneumatic squeeze handheld dynamometer and falls in the community-dwelling senior citizens in Cairo, Egypt.

2. METHODOLOGY

2.1. Sample and Methods

The study was approved by the ethical committee of the Faculty of Medicine, Ain Shams University, Cairo, Egypt.

The current study is a cross-sectional one enrolling community-dwelling seniors. All consecutive patients attending the outpatient clinics of Ain Shams University Hospitals were enrolled in the study during the year between March 2011 and March 2012, on 3 days of the week; excluding those having any of the exclusion criteria or refusing to participate.

A written informed consent was taken from all the participants. Assessment for all participants was done to ensure absence of any exclusion criteria which included: anomalies or deformities in the hands, diseases that cause weakness or tremors in the hands, people with cognitive impairment or depression and history of admission to acute care in the past 3 months. History of falls in the past year was taken in details.

Then, every participant was assessed using Baseline^® pneumatic squeeze handheld dynamometer after giving instructions on how to use it and one trial before the assessment. All subjects were instructed to sit on the chair with a straight back, without armrest and with the feet flat on the floor, shoulder adducted and neutrally rotated, elbow flexed at 90˚, forearm in neutral position and wrist between 0˚ - 30˚of extension and between 0˚ - 15˚ of ulnar deviation, as given by the American Society of Hand Therapy [12]. The instructions were given in the same tone and volume in order to discourage the overload of instructions [13]. The subjects were instructed to initiate optimal handgrip strength (usually about 3-seconds sustained grip). To get maximum reliability of data collected, every subject was asked to squeeze the dynamometer for three times for each hand, the mean of the three trials of each hand was the measurement used in the study [14]. The mean GS was the mean calculated from the values of both hands. A rest of 60 seconds was given between each squeeze [15]. To counterbalance any order effect of the starting hand, every other subject was instructed to begin with the dominant hand. During the test, the attempts were taken while alternating right and left hands with 60 seconds rest between any two attempts to overcome fatigue. The dynamometer’s maximum force indicator was reset to zero before each trial.

2.2. Statistical Analysis

IBM SPSS statistics (V. 20.0, IBM Corp., USA, 2011) was used for data analysis. Data was expressed as mean ± SD for quantitative parametric measures in addition to both number and percentage for categorized data.

The subjects were studied as a sample that was representative of the community-dwelling seniors and analyzed by comparing two groups (normal and low GS groups) according to the normative values of handgrip strength using the Baseline^® pneumatic squeeze handheld dynamometer. The cut off values used for elderly (between 60 and 85 years) were (10.74 - 12.54 PSI) in males and, (9.45 - 11.12 PSI) in females [16].

Logistic regression analysis was done to identify the predictors of mean GS. Comparison between two independent mean groups for parametric data was used (Student t test). Pearson correlation test was to study the possible association between each two variables among each group for parametric data. Chi-square test was done to study the association between each 2 variables or comparison between 2 independent groups as regards the categorized data. Analysis of variance was used for comparison between more than 2 subgroups.

The probability of error at 0.05 was considered significant, while at 0.01 and 0.001 are highly significant.

3. RESULTS

A sample of 132 subjects (of a total of 1443 clinic visitors) fulfilled the inclusion criteria and accepted to join the study. Most of the participants were in the 60 - 69 age group (69.7%). Sixty seven of the participants were males while 65 were females. 47.7% of the participants had jobs that mainly required physical effort. All subjects were right handed.

Table 1 shows the predictors of GS by logistic regression. Table 2 shows the mean values of GS in the sample as a whole and with sub-grouping according to gender and normality of GS. Table 3(a) shows the mean GS, right GS and left GS in the sample with subgrouping into fallers and non-fallers.

Conflicts of Interest

The authors declare no conflicts of interest.

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