1. Introduction

Aging is a natural and inevitable process of life that causes structural and functional changes in the person. People over 65 are classified as “elderly” regardless of their health status and functionality [1] . In parallel with the increase in mean life expectancy, the age distribution all over the world is changing towards the elderly population which has great importance on social, demographic and economic levels.

Pain, which is one of the most commonly seen problems in elderly, is also the most frequent cause of medical care. Musculoskeletal pain is the most common type of pain after cancer in geriatric population. There are studies that report different pain prevalence and incidence. The pain prevalence in advanced age changes between 8% and 80%. Coexisting comorbidities, cognitive dysfunction, loss of sensation, depression, social isolation and the differences in pain perception all might cause these different study results of prevalence of pain in geriatric populations [2] [3] [4] .

Untreated chronic pain causes loss in functional ability and independence, depression and decrease in quality of life. Chronic pain is the most common cause of long term disability in advanced age and might be the single cause of disability as well [3] [5] . It is important to understand that the chance of having a longer life compared to the past has no meaning without the increase in quality of life. Policies and programs about advanced age are usually focused on increasing the quality of life and general health instead of increasing life expectancy. That’s why World Health Organization (WHO) coined the term “active ageing”. Active ageing can be described as the process of optimizing opportunities for health, participation and security in order to enhance quality of life as people age [6] . In a study about the quality of life in advanced age, more than half of the patients who were in a bad medical condition reported that their satisfaction will only increase with the raise of their activity levels [7] .

The studies, which research the most frequent diseases in elder population and the effects of those diseases on patient’s daily lives, are necessary. We think defining the variables that affect the population distribution of pain, which is a very common complaint in geriatric patients, as well as pain’s effect on daily life activities will help to establish the basis for developing health, social and caretaking programs.

Our main purpose in this study is to assess the frequency and intensity of pain in geriatric patients and define the factors affecting pain. In addition, we also researched the relationship between pain and depression and its effects on quality of life.

2. Materials and Methods

203 patients over 65 who came to our Physical Therapy and Rehabilitation clinic were included in our study. Patients with aphasia and dementia were excluded. Demographic values (age, sex, education level, profession, marital status) and coexisting comorbidities were recorded. Intensity of comorbid conditions were calculated by using Cumulative Illness Scale (CIRS). Pain zones of patients with musculoskeletal pain were defined. Geriatric Pain Measure-24 (GPM) was used to assess the pain intensity level and Geriatric Depression Scale-15 (GDS) was used to determine depression in patients. To evaluate the quality of life, Short Form-36 (SF-36) quality of life questionnaire was used [8] [9] [10] [11] .

The study was conducted in accordance with the revised Declaration of Helsinki and approved by the Ankara Physical Medicine and Rehabilitation Education and Research Hospital Ethics Committee. Written informed consent was obtained from all participants.

Cumulative Illness Rating Scale

Our patients’ comorbid condition rates were calculated using Cumulative Illness Rating Scale (CIRS). CIRS is used by grading the conditions in 13 independent organ systems (cardiac, vascular, respiratory, upper gastrointestinal, lower gastrointestinal, liver, kidney, genitourinary, musculoskeletal/skin, neurological, psychiatric, endocrine/metabolic, eye/ear/nose/throat) from 0 to 4 according to severity. Scoring system goes like this, 0: no disease; 1(mild): disease with no need for medical attention which does not affect daily activities of patients and good prognosis; 2 (moderate): disease which needs medical attention but no expected complications with good prognosis; 3 (severe): disease which needs urgent medical attention with a bad prognosis; 4 (very severe): disease with a death risk. With each system scored accordingly, CIRS total score varies from 0 to 52 [12] .

Geriatric Pain Measure-24

GPM is composed of 24 questions in 5 subgroups which are pain intensity, functional loss caused by pain, ambulatory pain, pain following vigorous activities and pain following other daily activities. 22 of questions are 2-option questions (yes/no) with each yes counting as 1 point. Other 2 questions are scored between 0 - 10. Total score varies from 0 - 42 with 42 being the worst pain. Modified Score: Total score x 2.38 gives us a score between 0 - 100. With this result, scores < 30 are considered as mild, 30 - 69 moderate and >70 as severe pain.

Geriatric Depression Scale

Geriatric Depression Scale is also known as Yesavage Depression Scale. Short form consists of 15 questions. 5 questions (1, 5, 7, 11 and 13) are positive questions while the others are negative. Answers are given on the past week’s feelings and 1 point is given to each negative answer to positive question and vice versa. Scores 6 and over are considered as significant in depression diagnosis.

Short Form-36

Short Form-36 (SF-36) is a quality of life scale which is composed of 36 questions in 8 health subcategories (physical function, physical limitations, body pain, general health, vitality, social function, emotional role, mental health ) and 2 total scores (physical and mental component score). With each subcategory, points are added and a formula of “calculated score―minimum possible score/possible score range x 100” is used to define the changes and grade the score over 100. Higher points mean better health overall while lower points mean health deterioration.

Statistical Analysis

Statistical Analysis of the data is done using SPSS for Windows 11.5. Shapiro-Wilk test is used to determine the continuous variable’s spread to normal spread. Descriptive statistics are shown as “mean ± standard deviation or median (minimum-maximum)” in continuous variables while categorical variables are shown as number of cases and (%).

The importance of median differences between groups was calculated with Mann-Whitney U Test if 2 independent groups are present and Kruskal-Wallis Test if more than 2 independent groups are compared. Conover’s nonparametric multivariate comparison test was used to determine the situations that cause significant differences in Kruskal-Wallis test results. Spearman’s correlation test was used to determine if there is a statistically significant correlation between continuous variables.

All risk factors that are thought to affect GPM total scores were reviewed using multivariate linear regression analysis. Each factor’s regression coefficient and 95% confidence intervals were calculated. Since GPM total scores did not show a normal distribution, logarithmical transformation was made in regression analysis.

Results are deemed as “statistically significant” in p < 0.05.

3. Results

Patients’ age mean was 72.9 ± 6.3 (65 - 92). 76.4% of the patients were female and the rest 23.6% were male. Table 1 shows the demographics of the patients. CIRS mean score in patients was 4 ± 2.3.

97% of patients had musculoskeletal pain. Distribution of pain zones in patients is shown on Table 2. GPM total value mean of the patients was 61.9 (0 - 99.9). According to GPM scoring, 11.8% of patients had mild, 56.7% had moderate and 31.5% had severe musculoskeletal pain.

GPM scores were significantly higher in females in comparison with males (p < 0.001). In addition, in housewives, GPM was also higher compared to retirees and working people (p < 0.001). Married patients had significantly lower pain scores than unmarried (p = 0.015). At the same time, when patients were reviewed according to pain levels, females had significantly quite higher pain levels (Table 3).

44.8% of patients had depression according to GDS. GPM scores were detected to be significantly higher in depressed patients (p < 0.001). Although no relationship was found between mild pain and depression, the relationship between depression and moderate and severe pain was found to be statistically significant (p = 0.001).

Age and GPM score correlation coefficient was not significant, while there was a significant weak negative correlation between education level (r = −0.326, p < 0.001) and a positive correlation with CIRS (r = 0.159, p < 0.024).

When all risk factors that are thought to affect GPM total scores were reviewed using multivariate linear regression analysis, only female sex and depression pres-

a = The difference between the housewife group and there tired group was statistically significant (p < 0.001); b = The difference between the house wife group and the working group was statistically significant (p < 0.001); c = The difference between there tired group and the working group was statistically significant (p = 0.041).

ence was found to affect the scores significantly (p < 0.001) (Table 4).

There was a significant positive correlation between GPM and GDS scores (p = 0.001, r = 0.545). In addition, statistically significant negative correlations were detected between both in GPM and GDS and all subgroup parameters of SF-36 (Table 5).

4. Discussion

Pain is the most common complaint in elderly that needs medical attention. 25% - 70% of the elder population has chronic pain according to previous epidemio-

logical studies [3] . In our study, we found the frequency of musculoskeletal pain in geriatric patients as 97%. Different studies in literature about musculoskeletal pain in geriatric populations show pain frequency as 71.2% - 99.7% [5] [13] [14] . Even though our results are in harmony with the literature, pain levels might be elevated in our study since our study population consists of patients that come to physical therapy and rehabilitation clinic.

In elder patients, musculoskeletal pain is often localized in more than one area. In our study, we found out that 63.5% patients had 2 or more localized pain regions and most common localized regions were knees, lower back and neck area. Similar to that, Brattberg et al.’s study also showed 2 or more localized pain areas in 47.1% of patients [15] .

No significant relationship was found between age and GPM score in our study done on geriatric population. Other studies done on geriatric patients about the presence of pain also reported similar results of no relation between age and pain [4] [7] . In another study done in our country about musculoskeletal pain in elder population showed no difference in pain scores between age groups of 65 - 70 and >70 [5] . Another study done on geriatric patient group also reported that pain frequency does not change but pain intensity increases with age [14] . In contrast, there are studies that report decreasing musculoskeletal pain frequency and intensity with age. Evidence that suggests this change is due to changing psychosocial factors with aging process is deemed as insufficient [16] .

We found out in our study that GPM scores were significantly higher in females. There are studies which support the idea that females suffer musculoskeletal pain more than males [4] [5] . This is thought to be a result of lower muscle mass in females which become more evident with age that causes more pain and functional limitation, in addition with hormonal and biological differences between the sexes. Also, lower education levels and limited social interaction that consists of home and immediate surroundings can cause the perception difference of health problems in our female population, making them suffer more from musculoskeletal pain.

We detected a seriously significant increase in pain frequency in illiterate and homemaker patient groups. Higher education levels increase the odds of dealing with illnesses. Pain perception is also altered by education levels, income levels and lower socioeconomic status as well [4] [5] [17] .

We also detected higher and more severe GPM total scores in unmarried patients. Married patients have the opportunity of spousal support which is considered an important factor in life satisfaction [5] . Insufficient family support makes the person feel weaker and causes the person to have doubts about the future.

85.7% of our patients had at least one chronic disease. This is similar to the result of another study conducted in Turkey (80.8%) [17] . Also, we found a weak relation between pain score and comorbid illnesses. There are studies which show the relationship between pain and coexisting comorbidities in geriatric patients [4] [5] [7] . In addition, there are also studies that show the effect of chronic comorbid illnesses on early disability, depression presence& intensity and quality of life [17] [18] .

We diagnosed depression in 44.8% of our patients and it is connected to moderate-severe pain levels. There is existing data in literature that shows depressive symptoms of pain intensity and pain’s relationship with depression levels. Increasing pain levels, frequent painful episodes, widespread and treatment-resistant pain are all related to more serious depression attacks and affect quality of life significantly [4] [19] [20] [21] . However, it is also stated that even though chronic pain can increase depression, depression itself might be a risk for pain development [5] [19] [20] . More than 75% of depression patients are prone to somatization of their behavioral disorders and complain from physical symptoms such as headache, digestion problems, lower back and neck pain [20] , meaning depression can be both the cause and the result of the pain. In a study conducted on inpatient geriatric population about depression levels, depression rate was 48.5% and risk factors that might cause depression were shown as female sex, lower socioeconomic status, being single, coexisting chronic diseases and lowered daily functioning levels [22] . Those factors that are related with depression are also shown as the factors that cause the increase in pain scores in our study. This further supports the complexity of cause and effect relationship between pain and depression. Yet in our study, the continuous relationship between pain and depression following multivariate regression analysis of all those factors shows the strong bond between them.

Today, the chance of having a longer lifespan compared to the past is not enough on its own to increase the quality of life. Policies and programs about advanced age are usually focused on increasing the quality of life and general health instead of increasing life expectancy. In a study done in Turkey on geriatric age group showed a strong connection between age and dependence on daily life activities (DLA) [23] . Furthermore, there are many studies that show the relationship between chronic pain and low quality of life [4] [13] [16] . We also detected a negative correlation between pain and depression scores and all subgroup parameters of quality of life scales.

5. Conclusions

In this study we found out that musculoskeletal pain in elder people are very frequent (97%) and female sex, being single, lower education level, coexisting comorbid conditions and depression presence are all connected strongly with pain intensity in patients. However, multivariate regression analysis results showed that the relationship only lasted in female sex and depression presence. Moreover, we found a positive correlation between GPM and GDS scores and a negative correlation between GPM and quality of life.

Controlling musculoskeletal pain, which is a common complaint in geriatric patients, will increase their quality of life as well as facilitate the integration of elderly people to the society. We think our study will help define the factors of pain which cause not only dependence on daily activities, but also functional and economical losses.

Furthermore, we think that similar epidemiological studies with larger groups of patients will help to pinpoint the needs and goals for developing health, social and economic programs about geriatric patients.