Quality of Life and Gait in Elderly Group

Abstract

Introduction

The process of aging could lead to seniors being more prone to falls, which affects their quality of life.

Objective

The objective of this study is to investigate the relationship between quality of life and gait in the elderly.

Methods

We used World Health Organization Quality of Life-Brief (WHOQOL-Brief) Brazilian version and the Dynamic Gait Index to assess fifty-six volunteers from the northeast of Brazil. Ages ranged from 60 to 85 years.

Results

The Dynamic Gait Index, which indicates the probability of falls, resulted in 36.3% of the sample presenting abnormal results. There was correlation between domain 2 (psychological) and domain 4 (environment) with domain 1(Physical) and domain 3 (Social); a negative correlation between age and Domain 2; correlation between Question 1 (How would you rate your quality of life?) and domains 1, 2, and 4 and no correlation between questions 1 and 2 (How satisfied are you with your health?). Question 2 was correlated with all of the domains. There was negative association between question 1 and falls, and a slight correlation between the Dynamic Gait Index scores and Question 1.

Conclusion

The self-perception of the study group about their quality of life was either good or very good, even though a considerable percentage of individuals had suffered falls or reported gait disturbances.

Keywords
aged; gait; postural balance; accidental falls

Introduction

Senescence, a natural, current and irreversible fact, is accompanied by the decline of many systems and functions that compromise human balance, which includes the vestibular system. Vestibular disorders are frequent in the elderly people and causes dizziness and body imbalance, symptoms that may impair daily activities. There is a positive correlation between balance and functional ability in elderly patients with peripheral vestibular disorders. The better the balance performance, the better the functional capacity. Conversely, an inferior functional capacity increases the risk of falls in subjects. Aging brings several changes in body systems, resulting in a higher frequency of falls and, therefore, a potentially negative impact on quality of life.¹

There is a correlation between risk of falls and age. The annual incidence of falls in people over 65 is 25% and 50% in those over 80 years old. Studies show that ∼30% of people over 65 years of age fall at least once a year and that falls are responsible for 70% of accidental deaths in people older than 75 years.²

Falls commonly correlate with dizziness and may result in serious consequences and harm for elderly quality of life, increasing dependency. The functional limitations imposed by the symptom causes physical and psychological injuries and inability to perform daily and work activities.³

It is important for elderly people to be able to perform their daily activities, maintain functions, and retain their independence and autonomy. The association between falls and quality of life pointed to factors such as wellness, self-esteem, functionality, culture, ethics, religion, home environment, and health as key in determining quality of life.⁴

Studies have shown that the elderly paradigm has been modified and that several factors contribute to healthy aging, including physical and mental health, family support, clinical monitoring, social integration, and financial and daily independence.⁵ Falls may result in instability, postural imbalance, fear of falling, depression, isolation, and negative self-perception with respect to their independence.⁴

The risk of falling may induce fear of falls. Many older adults experience fear of falling, which may reduce their participation in routine activities.⁶ Such features should include intervention of all health professionals, considering that falls could be associated with several causes and implies a considerable amount of health care costs. These intervention programs are effective in reducing fear of falling among older adults.⁷

Our research could not verify the correlation between the World Health Organization Quality of Life (WHOQOL) and the Dynamic Gait Index (DGI).

Objective

The objective of this study was to evaluate the quality of life and gait in a healthy elderly group, as well as to assess quality of life and balance with respect to gender, age, and frequency of falls.

Methods

This is a clinical, exploratory, descriptive, and qualitative study using the World Health Organization Quality of Life-Brief (WHOQOL-Brief) and the Dynamic Gait Index (DGI) to study an elderly group from the northeast of Brazil. This study was submitted to the Ethics and Research Center of Medicine of the Institution, which approved and registered the projects with the following numbers: 0198.0.107.000–09 and 6232.0.000.107–10.

Data collection and evaluations were performed in a private office in the city of Aracaju and at a Family Health Public Center in Itabaiana city. We started with a brief interview to collect preliminary data from the volunteers, listing inclusion and exclusion criteria, complaints of dizziness, and reported falling events. The final sample comprised 47 females and 9 males, retired, not institutionalized, and without regular practice of physical activities.

Volunteers were selected if they met the following two inclusion criteria: 1) they were over 60 years old; 2) they presented no cutoff score less than 19 points on the Mini-Mental State Examination.⁸ For data analysis, we used the proposition derived from the study of Herrera Jr., Caramelli, Nitrini,⁹ as shown in Tables 1 and 3. They demonstrated good comprehension of the test questions.

Table 1
Distribution according the level of education on the Mini-Mental State Examination

Schooling	No schooling	≥ 1 and ≤ 8 years	≥ 9 and ≤ 11 years	≥ 12 years
Score	19	24	24	28

Volunteers were excluded from the study if they were using medical drugs that could influence their level of awareness; if they presented signs of dementia; if they demonstrated hearing loss without a hearing aid; if they had comprehension difficulties; or if they had a limited or abnormal gait.

To evaluate the quality of life, we used the Brazilian version of the WHOQOL, validated by Fleck et al¹⁰, which is a self-assessment and self-explanatory inventory. There are 26 questions in the WHOQOL-brief: two address life quality issues and the other 24 represent the original instrument facets. It is important to observe that this inventory has no cutoff point because it considered a self-related perception, mainly in two questions: “How would you rated your quality of life?” and “How satisfied are you with your health?”.

The WHOQOL-brief is divided in four domains: physical (domain 1), psychological (domain 2), social (domain 3), and environment (domain 4).

Physical domains include: daily activities; dependence on medicinal substances and medical aids; energy and fatigue; mobility pain and discomfort; sleep and rest; work capacity.

The psychological domain refers to: bodily image and appearance; negative feelings; positive feelings; self-esteem spirituality / religion / personal beliefs; thinking, learning, memory and concentration.

Social relationships include: personal relationships; social support; sexual activity. The environment domain refers to: financial resources; freedom, physical safety and security. Health and social care include: accessibility and quality; home environment; opportunities for acquiring new information and skills; participation in and opportunities for recreation / leisure activities; physical environment (pollution / noise / traffic / climate); transport.

To evaluate the gait, we used the DGI developed by Shummway-Cook et al¹¹, adapted to the Brazilian language by Castro et al.¹² In the DGI, there are eight tasks that evaluate and characterize balance during gait in different functional contexts. According to the standard reported by Castro et al¹², the score ≤ 19 points indicates a gait disturbance and predicts falling risks.

For statistical purposes, we used the summarized results (mean, median, standard deviation, confidence interval above and below 95%, absolute and relative frequency), and the Alpha (α) Cronbach test, Chi-square (χ2), Pearson's test, and Spearman's test. We considered results lower than 0.05% (p< 0.05) and lower than 0.01% (p< 0.01) significant, which are indicated with one or two asterisks, respectively.

Results

There were a total of 56 volunteers: 83.9% women and 16.1% men. Their age ranged from 60 to 83 years and average age was 69.9 years. From the general sample, Cronbach́s test revealed an α of 0.76, being 0.75 for female and 0.83 for male. The α value ranged from 98.2% to 100% for the correlations between the domains, DGI, and gender. This score indicated the high reliability of our results.

Table 2 shows the statistical results of the Pearson correlation which analyzes the scores of DGI, Domain 1 (physical), Domain 2 (psychological), Domain 3(social relationships), and Domain 4 (environment). The Pearson correlation test detailed in Table 2 reveals a positive correlation between Domains 2 and 4 and the other domains.

Table 2
Statistical Distribution of the Dynamic Gait Index scores by Domain 1 (physical), 2 (psychological), 3 (social) and 4 (environment)

	Dynamic Gait Index	Physical	Psychological	Social	Environment
Dynamic Gait Index	1	−0.136	−0.167	0.124	−0.003
Physical	−0.136	1	0.413**	0.140	0.547**
Psychological	−0.167	0.413**	1	0.474**	0.624**
Social	0.124	0.140	0.474**	1	0.383**
Environment	−0.003*	0.547**	0.624**	0.383**	1

• Pearson correlation test.

We used the Pearson correlation to analyze the age and Domain 1, 2, 3, and 4 variables. The results, shown in Table 3, indicate a significant negative correlation between age and Domain 2.

Table 3
Correlation between age and Domains 1 (physical), 2 (psychological), 3 (social) and 4 (environment) of the sample

	Age	Physical	Psychological	Social	Environment
Age	1	0.111	−0.004**	0.075	0.164
Physical	0.111	1	0.413**	0.140	0.547**
Psychological	−0.004**	0.413**	1	0.474**	0.624**
Social	0.075	0.140	0.474**	1	0.383**
Environment	0.164	0.547**	0.624**	0.383**	1

• Pearson correlation test.
• * P lower than 0.05% (p< 0.05), significant.
• ** P lower than 0.01% (p< 0.01), significant.

We used Spearman's test to analyze the responses to Question 1 (How would you rate your quality of life?), Question 2 (How satisfied are you with your health?), Domain 1, Domain 2, Domain 3, Domain 4. The results are shown in Table 4. Spearman's test revealed a significant correlation between Question 1 and Domains 1, 2, and 4 and no correlation between Questions 1 and 2. Question 2 was correlated with all of the domains.

Table 4
Correlation between the responses to Questions 1 (How would you rate your quality of life?) and 2 (How satisfied are you with your health?) and Domains 1 (physical), 2 (psychological), 3 (social) and 4 (environment) using Spearman's test of the sample

Spearman Correlation	Question 1	Question 2	Physical	Psychological	Social	Environment
Question 1	1.000	0.222	0.493**	0.516**	0.234	0.527**
Question 2	0.222	1.000	0.467**	0.429**	0.355**	0.442**
Physical	0.493**	0.467**	0.571**	0.392**	0.156	0.571**
Psychological	0.516**	0.429**	0.648**	1.000	0.533**	0.648**
Social	0.234	0.355**	0.346**	0.533**	1.000	0.346**
Environment	0.527**	0.442**	1.000	0.648**	0.346**	1.000

• Spearman's test.
• Abbreviation: Q, question.

We used Spearman's test to analyze the responses to Questions 1 and 2, DGI scores, and falls, as shown in Table 5. The results revealed a negative association between Question 1 and falls, as well as a slight correlation between the DGI scores and Question 1.

Table 5
Correlation between Questions 1 (How would you rate your quality of life?) and 2 (How satisfied are you with your health?), related falls and DGI of the sample

	Question1	Question 2	Dinamic Gait Index	Falls
Question 1	1	0.222	−0.066*	−.038*
Question 2	0.222	1	−0.254	−0.138
Dynamic Gait Index	−0.066*	−0.254	1	−0.151
Falls	−0.038*	−0.138	−0.151	1

• Spearman's test.

Of the volunteers who reported falls, 72.7% reported having a good quality of life and 54.5% said that they were neither satisfied nor dissatisfied with their health. Even though the Pearson correlation test revealed no significant correlations between Question 1 and 2 and gait complaints, a considerable portion (68.6%) of the volunteers reported a good quality of life, regardless of imbalance. In addition, 40.0% of them reported being satisfied with their health.

Discussion

In contrast to some studies, our statistical analysis indicates that gender does not affect the WHOQOL-Brief results.^{13 14} These studies have reported that the quality of life in elderly females is lower with respect to physical health, functional capacity and social and cognitive activities, in comparison to males of the same age who had a better perception of their quality of life. However, another study, which indicated that the presence or absence of satisfaction with quality of life was not associated with gender, concurs with our results.¹⁵

We showed that gender does not interfere with DGI tasks, as reported by a previous study.¹⁶ However, some studies have reported that female volunteers obtain better results than male volunteers, a conclusion that is not in accordance with our results.¹⁷

In our study, age did not correlate with the WHOQOL-Brief. Other research revealed similar results,¹⁸ although these are in contrast to other studies which have reported that senescence induces health problems, financial weakness, depression, social and emotional isolation, and reduced autonomy and productivity. Together, these factors contribute to a reduction in the quality of life.¹⁹

We found that age did not affect the DGI score, which concurs with a study by Whitney.¹⁶ This is, however, in contrast to the results reported by another study that found that age influences both gait and balance in elderly people.²⁰

Out of the volunteers who reported falls, 36.3% had low DGI scores, indicating that this is a useful measure for evaluating gait and predicting the risk of falling. Other studies have also indicated that DGI is a good way to assess the ability to adapt to changes in gait during some tasks.^{17 20}

We did not find any correlation between fall frequency and age, though this relationship has been reported by other authors.²¹ Previous studies have reported that females are prone to accidental falls at a younger age than males because women reach their peak muscular performance earlier in life. Therefore, body functions, balance, and gait may decline earlier in women. We did not find any evidence to support this theory in our study.¹³

As shown by Table 1, we found that domains 2 (psychological) and 4 (environment) were correlated with all domains, indicating that satisfaction with environment is associated with good mental health. Financial proceeds decline is related to decrease in age, whereas satisfaction correlates with an individual's personal life and stress status, estimated using in domains 2 and 4. Inappropriate environment organization binds elderly autonomy and independence. This causes a decrease in functional capacity and self-esteem, in addition to falls and fear of falling, resulting in social isolation and depression.^{22 23}

Our study shows that psychological and environment domains are strongly connected, which concurs with previous research.²⁴ In addition, the environment domain is considered to be a strong influence on the overall quality of life.

We observed a negative correlation between age and Domain 2, in other words, the older the subject the lower their score in psychological domain. At present, there is no consensus regarding this relationship, as different studies have reported contrasting results. The presenting results are similar to that of other studies.^{25 26}

We found a correlation between Question 2 (How satisfied are you with your health?) and all of the domains from the WHOQOL-Brief. This correlation has also been observed in other studies, which stated that general health includes physical, psychological, environmental, and social aspects, all of which are important for independence and autonomy in elderly groups.²⁷

In elderly people, the physical, mental, and environmental aspects which determine a good quality of life were shown by the correlation between Question 1 (How would you rate your quality of life?) and domains 1 (physical), 2 (psychological), and 4 (environment). This correlation has also been reported by other studies.^{25 28}

As well presented, the question 1 and 2 are correlated subjects, but not similar. We did not expect our sample to show close answers. Our hypothesis is that this event could be explained by the link between quality of life and health, which often appear synonymous because these questions are assessed almost simultaneously. Other studies have suggested this as well.²⁹ Such studies indicate that quality of life is connected to the individual's perception of their health status and to general aspects of their life. Our statistical analysis showed that volunteers perceived good health and quality of life to be similar.

We found a negative association between Question 1 and fall frequency. The volunteers who reported a good quality of life experienced fewer falls, a result which concurs with other studies.^{30 31} We believe that fall frequency is an important factor to consider when assessing dependency and quality of life.

For Question 1, 72.7% of volunteers who had reported a fall also reported good quality of life. There was a misperception of the volunteers about their welfare, since that which related to falls did not affect their judgment of their quality of life. Previous research showed that falls affect quality of life of those prone to falls.¹⁷ The same pattern was observed for the second question (54.5%), indicating that social, environmental, and psychological aspects may have influenced the perception of the subjects. We observed that high scores in other questions affected the importance of fall events, especially when they were sporadic.

A considerable percentage of our sample reported good quality of life and satisfaction with their health, in addition to balance complaints. This led us to believe that positive responses did not follow the same pattern as other studies, some of which showing that complaints and gait disorders directly affect quality of life and health.³²

The quality of life is determined by an individual's self-perception, therefore, it is subjective. Various factors are considered including lifestyle, expectations, motivations, and psychological state.^{2 5} This subjectivity and range of factors allow for mixed results, for example, two subjects with the same disease which respond differently to questions regarding their quality of life and health. Therefore, we believe that dizzinesś complaints do not influence an individual's self-perception of their quality of life and health.

Conclusion

In this study, we found that the quality of life and health of elderly people was adequate in the presence of complaints and gait disorders, which was unexpected. According to the WHOQOL-Brief, the quality of life of the subjects was either good or very good, even when a considerable percentage reported falls and gait disturbances. Gender and age did not affect quality of life assessment or DGI, neither were these factors associated with falls.

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Publication Dates

• Publication in this collection
  Jul-Sep 2016

History

• Received
  18 June 2015
• Accepted
  28 Sept 2015