8_QualityoflifeinIranianelderlypopulation.pdf

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Quality of life in Iranian elderly population using the SF-36 question- naire: systematic review and meta-analysis Amin Doosti-Irani 1,2, Saharnaz Nedjat 3,4, Sima Nedjat 5, Parvin Cheraghi 6,7 and Zahra Cheraghi 2,8

1Research Center for Health Sciences, Hamadan University of Medical Science. Hamadan, Islamic Republic of Iran. 2Department of Epidemiology, School of Public Health, Hamadan University of Medical Science, Hamadan, Islamic Republic of Iran (Correspondence to: Z. Cheraghi: z.cheraghi@ umsha.ac.ir). 3Knowledge Utilization Research Center, University of Social Welfare and Rehabilitation, Tehran, Islamic Republic of Iran. 4Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran. 5Knowledge Uti- lization Research Center, University of Social Welfare and Rehabilitation, Tehran, Islamic Republic of Iran. 6Department of Health Education and Pro- motion, School of Public Health, Hamadan University of Medical Sciences, Islamic Republic of Iran. 7Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran. 8Modeling of Non-Communicable Disease Research Center, Hamadan University of Medical Science. Hamadan, Islamic Republic of Iran.

Introduction Ageing is an inevitable biological phenomenon and indi- cates the aggregation of changes in a person over time in the physical, mental and social dimensions (1). Elder- ly people (aged ≥ 60 years) are exposed to diseases more than younger adults are (2). About 100 000 deaths occur annually due to ageing-related diseases worldwide (3). Ac- cording to the United Nations, if the proportion of elderly people (aged ≥ 60 years) in a country is ≥ 7%, that country is considered to have an elderly population (4). According to the 2011 census, the Islamic Republic of Iran had 8.26% of people aged ≥ 60 years and it was added to the list of countries with an ageing population (5).

According to the World Health Organization definition, people’s quality of life (QOL) is related to culture, value system by which they live, goals, expectations, standards and priorities. Physical and mental health, level of independence, social relationships, personal beliefs and the environment all affect the perceived QOL (6). QOL is one of the theoretical frameworks for assessing the living conditions of different communities (7). The Short Form

36 Health Survey Questionnaire (SF-36) is a standardized and widely used tool for assessing health-related QOL worldwide (8).

As the ageing population increases, attention needs to be given to physical, social and mental health to improve QOL among this population. Many studies have investigated QOL among the elderly population in the Islamic Republic of Iran, although the results were inconsistent (9–16). We designed this study to estimate the overall mean score of QOL based on SF-36 among the Iranian elderly population.

Methods We searched international databases (Medline, Scop- us and Science Direct) and national databases (Science In-formation Database, MagIran, IranMedex and Iran- doc) up to February 2015 using the following keywords: “quality of life” AND (“aging” OR “aged” OR “elderly”) AND “Iran”. We included all studies that addressed QOL among the healthy Iranian elderly population (aged ≥ 60 years) using the SF-36 questionnaire, irrespective of sex,

Abstract Background: Ageing is a major known risk factor that is a threat to human health. To date, many studies have inves- tigated quality of life (QOL) among the elderly population in the Islamic Republic of Iran. However, their results were inconsistent. Aims: We designed this systematic review and meta-analysis to estimate the overall mean score of QOL based on the Short Form 36 Health Survey Questionnaire (SF-36) among the Iranian elderly population. Methods: We searched international databases (Medline, Scopus and Science Direct) and national databases (Science In-formation Database, MagIran, IranMedex and Irandoc) up to February 2015. We included all cross-sectional studies that evaluated QOL among the Iranian elderly population using SF-36. Results: Of 2150 studies identified, 15 were included in the meta-analysis. The mean scores for QOL in the 8 scales were: 47.58, 51.75, 55.42, 55.78, 59.55, 51.54, 47.85 and 51.31 for physical-role, physical function, mental health, bodily pain, social functioning, emotional-role, general health, and vitality, respectively. Conclusions: Our results indicated that health-related QOL decreased with increasing age. QOL was worse in women than in men, especially in physical-role and general health scales. Elderly people who lived in a nursing home had lower QOL than those who lived in their own home. So, health policy-makers should design comprehensive programmes to improve health-related QOL for the Iranian elderly population. Keywords: ageing, elderly, quality of life, SF-36, Islamic Republic of Iran.

Citation: Doosti-Irani A , Nedjat S, Nedjat S, Cheraghi P and Cheraghi Z. Quality of life in Iranian elderly population using the SF-36 questionnaire: systematic review and meta-analysis. East Mediterr Health J. 2018;24(11):1088–1097. https://doi.org/10.26719/2018.24.11.1088

Received: 28/05/18; accepted 06/08/18

Copyright © World Health Organization (WHO) 2018. Some rights reserved. This work is available under the CC BY-NC-SA 3.0 IGO license (https:// creativecommons.org/licenses/by-nc-sa/3.0/igo).

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time of study and language of publication. The main out- come of interest was the mean score for QOL in the dif- ferent domains of SF-36.

SF-36 has 36 items in 8 sections: physical function, role-physical, bodily pain, general health, vitality, social functioning, role-emotional and mental health. Each scale involves 2–10 questions and low scores indicate low QOL (17). For data collection, two authors (ZCH and ADI) screened the title and abstract of retrieved references independently to assess the relevancy. In the next stage, they reviewed the full text of selected studies to extract the studies that met the eligibility criteria for the meta- analysis. Any disagreement between the authors in the selection of studies was resolved by discussion with and adjudication of a third author. The overall agreement between the authors was 86.76%, and the kappa statistic was 72.44%. In the cases of missing data, we made contact with the corresponding authors of the studies. The variables included the year and location of the studies, mean age and sex of the participants, residence of the participants, sample size, and mean QOL score, and its standard deviation (SD) was extracted for data analysis.

Seven selected items from the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) (18) checklist were used for assessing the risk of bias and quality of reporting. These items (1) presented the key elements of the study design; (2) explained the inclusion and exclusion criteria; (3) defined the outcome, that is, QOL; (4) explained how the sample size was calculated; (5) described the setting, location and date of the study; (6) reported the precision of estimates, that is, SD or confidence interval; and (7) explained the statistical methods for data analysis. Studies that satisfied all the mentioned criteria were classified as having a low risk of bias. Studies that did not meet 1 item were classified as intermediate, and studies that did not meet > 1 item were classified as high risk of bias.

The statistical heterogeneity was explored using the χ2 test at the 10% significance level. Also, the heterogeneity across the included studies was quantified using the I2 statistic. Variance between studies was estimated using I2 statistics (19). Meta-analysis was performed to estimate the summary measure of mean score of QOL among the elderly population. The random effects model (20) was used for data analysis, and results were reported with 95% confidence interval. Subgroup analysis was accomplished according to the results of meta-regression analysis. We performed subgroup analysis based on age groups, sex, residence, and quality of included studies. We used Stata version 11 (Stata Corp., College Station, TX, USA) and Review Manager 5.3 for data analysis.

Results We retrieved 2150 records; 470 were excluded because of duplication, 1000 because they were not related to the aim of the review and 655 because they were not eligible for inclusion in the meta-analysis after checking the full text. Finally, 15 articles (9–16, 21–27) remained for meta-analy- sis (Figure 1 and Table 1), which involved 16 914 Iranian el-

derly participants with a mean age of 70.31 (3.63) years. It is necessary to mention that 7 studies (9, 10, 12, 14–16, 27) reported the QOL scores for men and women separately, so we divided those studies into 2 independent studies, which gave a final 23 studies for the data analysis.

There was considerable heterogeneity among the results of the included studies. The χ2 test results were highly significant (P < 0.001) for all QOL scales, and the I2 statistic was high for all QOL scales (Tables 2 and 3). We estimated the QOL for each scale in SF-36. The highest and lowest pooled mean scores for QOL were related to social functioning and role-physical scales among the Iranian elderly population (Table 2).

The pooled mean score for the role-physical scale decreased significantly with increasing age (Table 3); the highest and lowest scores were observed among participants aged 60–64 years and aged ≥ 75 years, respectively. The pooled mean score of the role-physical scale was higher in men than in women; however, this difference was not significant. The pooled mean score of the role-physical scale was higher for participants who lived in nursing homes compared with their own homes, or in a mixture of the two; however, this difference was not significant.

The pooled mean score for the physical function scale decreased significantly with ageing; the highest and lowest scores were observed among those aged 60–64 years and aged ≥ 75 years, respectively (Table 3). The pooled mean score of the physical function scale was higher among men than women; however, this difference was not significant. The pooled mean score of the physical function scale among participants who lived in nursing homes was higher than for those who lived in their own homes or in mixed accommodation; however, this difference was not significant.

In the mental health scale, there was no overall significant trend with ageing; the highest pooled mean score was for participants aged 65–69 years and the lowest for those aged ≥ 75 years (Table 3). The pooled mean score of the mental health scale was higher in men than in women; however, this difference was not significant. The pooled mean score of the mental health scale among participants who lived in their own home was higher than for those who lived in nursing homes or in mixed accommodation; however this difference was not significant.

According to the bodily pain scale, there was no overall trend with ageing. The highest pooled mean score was in participants aged 65–69 years and the lowest score was in participants aged ≥ 75 years (Table 3). The pooled mean score was higher in men than in women; however, this difference was not significant. The pooled mean score of the bodily pain scale was higher for participants who lived in mixed accommodation compared with those who lived in nursing homes or their own home; however, this difference was not significant.

In the social functioning scale, there was no overall trend with ageing. The highest and lowest pooled mean

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scores were in participants age 65–69 years and ≥ 75 years, respectively (Table 3). The pooled mean score of this scale was higher among men than women. The pooled mean score of social functioning scale was higher among participants who lived in their own home compared with those who lived in nursing homes or in mixed accommodation; however, this difference was not significant.

The pooled mean score for the role-emotional scale decreased significantly with ageing; the highest and

lowest scores were among those aged 60–64 years and aged ≥ 75 years, respectively (Table 3). The pooled mean score of this scale was significantly higher among men than women. The pooled mean score of the role- emotional scale was higher among participants who lived in their own home compared with those who lived in nursing homes or in mixed accommodation; however, this difference was not significant.

For the general health scale, the pooled mean score decreased significantly with ageing, although the score

2150 retrieved

1680 remained for checking the title and abstract

Figure 1 Flow chart of study identification process

1800 of records identified through search of international database

350 of records identified through other sources: 150: reference list; 200: related website of conferences

215 retrieved

1680 remained for checking the title and abstract

470 excluded because of duplication

1000 excluded because not related to the objective of review

680 remained for checking full text

15 remained for meta-analysis

655 excluded because were not eligible to include in meta-analysis

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for those aged ≥ 75 years was higher than for those aged 70–74 years (Table 3). The pooled mean score of this scale was higher among men than women; however, this difference was not significant. The pooled mean score of the general health scale was higher among participants who lived in nursing homes or mixed accommodation compared with those who lived in their own home; however, this difference was not significant.

The pooled mean score for the vitality scale decreased significantly with ageing (Table 3). The pooled mean score of this scale was higher in men than women; however, this difference was not significant. The pooled mean score of vitality scale was higher among participants who lived in their own home compared to those who lived in nursing homes or mixed accommodation; however, this difference was not significant.

Table 1 Characteristics of studies included in meta-analysis Author Year City Gender Resident Habitat Mean

age (yr) Sample

size

Abbasimoghadama 2009 Tehran Male Own home City 71 5600

Abbasimoghadamb 2009 Tehran Female Own home City 71 5600

Aghanooria 2011 Markazi Female Own home City 70.7 91

Aghanoorib 2011 Markazi Male Own home City 70.7 74

Ahmadi 2004 Zahedan Both Mixedb City 72.3 200

Albokordia 2005 Shahinshahr Female Mixed City 67.2 34

Albokordib 2005 Shahinshahr Male Mixed City 67.2 66

Farhadia 2010 Boushehr Female Own home Rural — 16

Farhadib 2010 Boushehr Male Own home Rural — 53

Farzianpoura 2012 Marivan Both Mixed City — 2433

Farzianpourb 2012 Masjed Soleiman Both Mixed City 74.51 349

Hekmatpoua 2014 Arak Female Own home City 67.5 271

Jaafarzadeh Fakhari 2010 Sabzevar Both Own home Both 69.3 304

Naseha 2014 Chaharmahal Bakhteiari

Both Nursing home Both 73.13 87

Nejatia 2008 Kashan Female Own home City 69.8 193

Nejatib 2008 Kashan Male Own home City 69.8 196

Rafaatia 2005 Tehran Female Nursing home City 76.8 118

Rafaatib 2005 Tehran Male Nursing home City 76.8 84

Rostamai 2010 Masjed Soleiman Both Own home City 74.51 349

Salehia 2013 Tehran Female Nursing home City 64.07 298

Salehib 2013 Tehran Male Nursing home City 64.07 102

Vahdania 2005 Tehran Male Mixed City 67.9 157

Vahdanib 2005 Tehran Female Mixed City 67.9 239 aStudies provided all 6 STROBE items (low risk of bias). bBoth own home and nursing home.

Table 2 Pooled estimation for mean score of QOL according the each scale Scale of QOL No. of studies Pooled mean score (95% CI) P* I2

Role-physical 23 47.58 (43.95–51.21) <0.001 99.1

Physical function 23 51.75 (46.78–56.71) <0.001 99.3

Mental health 23 55.42 (51.32–59.52) <0.001 99.3

Bodily pain 23 55.78 (50.79– 56.78) <0.001 98.0

Social functioning 22 59.55 (56.78–62.31) <0.001 97.9

Role-emotional 23 51.54 (48.59–54.49) <0.001 97.8

General health 24 47.85 (45.25–50.46) <0.001 99.2

Vitality 21 51.31 (48.93–53.69) <0.001 97.9 *Test for heterogeneity. CI = confidence interval; QOL = quality of life.

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According to the risk of bias, 56.52%, 21.74% and 21.74% of the included studies were classified in the low, intermediate and high risk of bias, respectively.

Discussion We found that the highest pooled mean score was relat- ed to the social functioning scale and the lowest score to the role-physical scale. The lowest mean score for the

role-physical scale may have been due to ageing problems. The highest mean score for the social functioning scale may have been due to better relationships with members of the community and their families. Culturally in the Islamic Republic of Iran, most elderly men are respect- ed in their families and communities. This may be due to the higher QOL in the social functioning rather than other scales of QOL. According to our results, in general,

Table 3 Subgroup analysis of QOL among elderly population Scale Variable Subgroup No. of

studies Pooled mean

score (95% CI) Pa I2 Pb

Role-physical Age (yr) 60–64 8 63.26 (48.16–84.36) < 0.001 99.8 < 0.001

65–69 4 49.61 (48.57–50.65) < 0.001 95.4

70–74 8 49.03 (48.65–49.40) < 0.001 98.8

≥ 75 3 35.03 (33.94–36.13) < 0.001 90.4

Gender Male 8 50.52 (42.29–58.75) <0.001 99.3 0.53

Female 9 46.71 (38.21–55.22) < 0.001 99.4

Both 6 44.90 (41.99–47.81) < 0.001 87.7

Residence Own home 11 47.19 (43.52–50.87) < 0.001 98.6 0.99

Nursing home 7 48.20 (36.54–59.85) < 0.001 99.6

Mixed 5 47.34 (35.64–59.04) < 0.001 96.7

Physical function Age (yr) 60–64 3 62.63 (51.58–87.67) < 0.001 99.8 0.003

65–69 8 52.98 (43.23–62.74) < 0.001 98.6

70–74 8 52.03 (47.18–56.89) < 0.001 98.6

≥ 75 4 34.56 (24.27–44.86) < 0.001 93.9

Gender Male 8 59.77 (51.81–67.74) < 0.001 98.6 0.08

Female 9 47.51 (36.13–58.89) < 0.001 98.6

Both 6 46.98 (39.78–54.17) < 0.001 98.6

Residence Own home 11 50.13 (44.84–55.43) < 0.001 99 0.75

Nursing home 7 55.04 (43.31–66.77) < 0.001 99.6

Mixed 5 50.45 (36.99–63.92) < 0.001 96.7

Mental health Age (yr) 60–64 3 62.55 (60.88–64.23) 0.003 82.8 <0.001

65–69 8 63.00 (46.33–79.68) < 0.001 99.3

70–74 7 50.70 (46.79–54.61) < 0.001 98.6

≥ 75 4 42.55 (35.36–49.74) < 0.001 94.1

Gender Male 8 62.58 (53.33–71.82) < 0.001 99.2 0.18

Female 9 53.43 (38.31–63.03) < 0.001 99.5

Both 5 47.47 (38.42–56.23) < 0.001 99.1

Residence Own home 10 57.22 (49.98–64.45) < 0.001 99.6 0.74

Nursing home 7 53.79 (48.82–58.77) < 0.001 98.3

Mixed 5 54.29 (42.99–65.57) < 0.001 97.5

Bodily pain Age (yr) 60–64 3 57.53 (49.39–65.68) < 0.001 98.9 0.01

65–69 8 60.07 (52.35–67.79) < 0.001 97.6

70–74 8 49.34 (44.22–54.47) < 0.001 98.7

≥ 75 4 46.99 (42.1–51.85) 0.053 61

Gender Male 8 58.84 (53.82–63.85) < 0.001 95.3 0.27

Female 9 54.66 (49.20–60.11) < 0.001 97.9

Both 6 46.28 (41.89–50.66) < 0.001 95.8

Residence Own home 11 52.13 (48.0–56.26) < 0.001 98 0.58

Nursing home 7 52.01 (46.75–57.28) < 0.001 97.5

Mixed 5 60.99 (44.55–77.3) < 0.001 98.8

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Table 3 Subgroup analysis of QOL among elderly population (concluded) Scale Variable Subgroup No. of

studies Pooled mean

score (95% CI) Pa I2 Pb

Social Functioning Age (yr) 60–64 3 61.74 (59.47–64.00) < 0.001 92 0.001

65–69 7 68.85 (60.03–77.68) < 0.001 97.5

70–74 8 56.8 (52.65–60.29) < 0.001 97.8

≥ 75 4 47.49 (37.86–57.12) < 0.001 91.2

Gender Male 8 65.66 (60.66–70.66) < 0.001 97.2 0.05

Female 9 58.67 (53.67–63.67) < 0.001 98.3

Both 5 51.63 (45.33–57.94) < 0.001 97.7

Residence Own home 10 64.06 (59.87–68.26) < 0.001 98.1 0.001

Nursing home 7 52.49 (47.96–57.02) < 0.001 97.9

Mixed 5 62.15 (48.29–75.99) < 0.001 98

Role-emotional Age (yr) 60–64 3 57.38 (36.67–78.09) < 0.001 99.5 0.01

65–69 7 57.06 (51.11–63.01) < 0.001 93

70–74 8 50.88 (47.81–53.95) < 0.001 97.1

≥ 75 4 39.44 (30.46–48.41) 0.001 82.01

Gender Male 8 58.71 (53.70–63.73) < 0.001 96.6 0.01

Female 9 49.33 (43.99–54.66) < 0.001 94.3

Both 5 44.74 (39.42–50.05) < 0.001 95.9

Residence Own home 10 52.27 (49.23–55.30) < 0.001 97.3 0.82

Nursing home 7 49.97 (39.91–60.03) < 0.001 98.7

Mixed 5 54.78 (43.82–65.73) < 0.001 92.6

General health Age (yr) 60–64 3 60.31 (46.01–74.60) < 0.001 99.8 0.007

65–69 8 51.07 (45.50–56.65) < 0.001 98.4

70–74 8 42.05 (37.85–6.25) < 0.001 98.9

≥ 75 4 43.22 (40.30–46.13) 0.003 78.8

Gender Male 8 54.60 (48.68–60.51) < 0.001 98.4 0.06

Female 9 47.59 (43.11–52.07) < 0.001 99.5

Both 6 39.55 (34.29–44.81) < 0.001 98.1

Residence Own home 11 47.34 (44.79–49.89) < 0.001 98.9 0.97

Nursing home 7 48.30 (38.78–57.82) < 0.001 99.6

Mixed 5 48.10 (41.13–55.08) < 0.001 95.5

Vitality Age (yr) 60–64 3 57.62 (50.99–64.25) < 0.001 98.7 0.03

65–69 7 52.39 (45.62–59.15) < 0.001 97.4

70–74 7 49.61 (46.09–53.13) < 0.001 98.3

≥ 75 4 46.73 (43.39–50.07) 0.028 67

Gender Male 8 54.18 (48.94–59.43) < 0.001 96.9 0.28

Female 9 50.17 (45.21–55.13) < 0.001 98.5

Both 4 48.16 (44.87–51.46) < 0.001 93.4

Residence Own home 10 52.67 (49.35–55.98) < 0.001 98.2 0.50

Nursing home 6 51.85 (46.56–57.13) < 0.001 98.1

Mixed 5 47.59 (39.82–55.36) < 0.001 96.3 aTest for heterogeneity. bTest for subgroup difference.

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the QOL score (in all scales of the SF-36 questionnaire) decreased with increasing age. Men had higher pooled mean scores of QOL than women.

Our results showed that the pooled mean score for the role-physical and physical function scales decreased significantly with age. These results are consistent with the biological changes in the physical dimensions of elderly people (1). The pooled mean scores among men were more than in women in both those scales. The better QOL among men may have been due to greater physical activity in Iranian men than women. Physical activity has beneficial effects on QOL (28). Regular physical activity was associated with better QOL in all domains among older adults, and physical activity among women was lower than in men. The mean score for QOL among older adults with higher physical activity was significantly more than in adults with lower physical activity (29). This finding is consistent with the results of a meta-analysis of randomized control trials that showed that physical activity improves the self-reported physical function in older adults (30).

We showed that the mean score for mental health QOL decreased with ageing. The lowest mental health QOL was related to participants aged ≥ 75 years. One reason for lower mental health QOL may be lower physical activity in older people. Some studies have indicated a positive association between physical activity and mental health QOL (28, 29). In our study, the pooled mean score for the role-physical and physical function scales decreased with ageing. Therefore, there may be an association between these scales and the mental health scale. Another reason may be due to lower social activity in older people. The mean score for mental health QOL in men was higher than in women, but the difference was not significant. The better mental health status in men may have been due to more social and physical activities. The mean score for mental health QOL in elderly people who lived in their own home was higher than in those who lived in a nursing home. A randomized control trial in 5 nursing homes showed that the intervention group who received meals family style had better QOL than the control group who received the usual service (31). The results of that trial are in line with our present results. The QOL of elderly people who are living in their own home is better than in those who are living in a nursing home, because elderly people in their own home received emotional and physical support from their family.

Our results indicated that mean score of QOL based on bodily pain decreased with age. This is consistent with other scales of QOL in this meta-analysis. Like the role- physical and physical function scales, the lower mean score for bodily pain may have been due to the biological changes in the physical dimensions of elderly people (1). Older people have a higher risk for chronic diseases and syndromes compared with younger adults (2, 3), so the lower mean score for bodily pain in elderly people was expected.

For social functioning, the highest mean score for QOL was in people aged 65–69 years. This finding is

inconsistent with other scales, for example, Acree et al. found that the highest mean score of QOL was related to people aged 60–64 years (29). Better social functioning QOL in people aged 65–69 years may have been due to more activities, resulting in better social activity and community and family relationships. In contrast, social vulnerability is associated with increasing age, female sex, and frailty (32). Therefore, a lower mean score for QOL based on the social functioning scale in older people may have been related to greater social vulnerability. In addition, our results indicated that the pooled mean score for QOL in women was lower than in men, which is consistent with greater social vulnerability among women. Elderly people who were living in their own home had a significantly higher pooled mean score compared to those living in nursing homes. This finding may be related to better support of elderly people by their families in their own homes. Another study has shown that greater life satisfaction is associated with receiving more family support (33).

Like other scales of SF-36, the pooled mean score for QOL based on the role-emotional scale was lowest in people aged ≥ 75 years. The lower role-emotional QOL in older people may have been related to other scales of QOL such as role-physical, physical function, mental health and social functioning. Therefore, it seems that the reasons for lower QOL in older people are common in the SF-36 scales.

Factors such as age, chronic disease, smoking, alcohol consumption, insufficient exercise and lack of physical examination are associated with low health-related QOL (34). Also, increasing age and decreasing physical activity are common risk factors for some chronic diseases, so the lower mean score for QOL may be related to higher prevalence of chronic diseases in older people.

We explored evidence of heterogeneity in the results of our included studies. We performed subgroup analysis based on the potential source of heterogeneity, but heterogeneity remained in the subgroups. The high heterogeneity in the results may have been related to different study settings. The studies included in our analysis were conducted in different geographic regions, with different cultures and lifestyles. So, the QOL may have been affected by such factors in different regions of the Islamic Republic of Iran. However, we pooled the results of the included studies using the random effects model in order to estimate the overall QOL, because of the public health importance of QOL in elderly people and for health policy-makers. If the results of a meta-analysis are to be a guide for health decision-making, it is possible to pool the results of heterogeneous studies (35).

There were some limitations to our meta-analysis. First, only 56.52% of the included studies were in the low risk of bias group; this may have increased the probability of information bias. Second, there was a lack of data regarding potential factors related to QOL such as education, job and income in some of the included studies. Therefore, we could not perform subgroup analysis based on those variables.

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Conclusion Our results indicated that health-related QOL decreased with increasing age. QOL was worse in women than in men, especially in the role-physical and general health scales. Moreover, elderly people who lived in a nursing

home had lower QOL than those who lived in their own home. The Islamic Republic of Iran has been added to the list of countries with an ageing population, therefore, health policy-makers should design comprehensive pro- grammes to improve the health-related QOL for the Irani- an elderly population.

Acknowledgements We would like to thank the Vice-Chancellor of Research and Technology of Tehran University of Medical Sciences (TUMS) for financial support.

Funding: Tehran University of Medical Sciences (Code: 94-01-27-28359). Competing interests: None declared.

Qualité de vie des personnes âgées iraniennes mesurée à l’aide du questionnaire SF- 36 : analyse systématique et méta-analyse Résumé Contexte : Le vieillissement est l’un des principaux facteurs de risque pour la santé humaine. À ce jour, de nombreuses études ont enquêté sur la qualité de vie des personnes âgées en République islamique d’Iran, mais leurs résultats ne concordent pas. Objectifs : Nous avons conçu les présentes analyse systématique et méta-analyse afin d’estimer le score moyen global de la qualité de vie des personnes âgées iraniennes à l’aide du questionnaire d’évaluation de la santé SF-36 en version abrégée. Méthodes : Nous avons mené des recherches dans des bases de données internationales (Medline, Scopus et Science Direct) et nationales (Science In-formation, MagIran, IranMedex et Irandoc) pour les études produites jusqu’en date de février 2015. Nous y avons inclus toutes les études transversales qui avaient évalué la qualité de vie des personnes âgées iraniennes à l’aide du questionnaire SF-36. Résultats : Sur 2150 études identifiées, 15 ont été incluses à la méta-analyse. Les scores moyens pour la qualité de vie sur les huit échelles du questionnaire étaient les suivants : 47,58, 51,75, 55,42, 55,78, 59,55, 51,54, 47,85 et 51,31 pour les limitations dues à l’état physique, l’activité physique, la santé psychique, la douleur physique, la vie et les relations aux autres, les limitations dues à l’état psychologique, la santé perçue et la vitalité respectivement. Conclusions : Nos résultats ont indiqué que la qualité de vie liée à la santé diminuait avec l’âge. Elle était moins bonne chez les femmes, notamment pour les échelles de limitations dues à l’état physique et de la santé perçue. Les personnes âgées résidant dans des maisons de retraite avaient une qualité de vie inférieure à celles vivant chez elles. À ce titre, les décideurs politiques devraient mettre au point des programmes complets visant à améliorer la qualité de vie liée à la santé des personnes âgées iraniennes.

جودة حياة املسنني اإليرانيني باستخدام نموذج االستبيان املخترص للمسح الصحي: مراجعة منهجية وحتليل ُبْعدي أمني دوستي إيراين، سحرناز نجات، سيام نجات، بروين جراغى، زهرا جراغى

اخلالصة اخللفية: الشيخوخة هي عامل خطر رئييس معروف هيدد صحة اإلنسان. وحتى اآلن، درست أبحاث عدة جودة حياة كبار السن يف مجهورية إيران

اإلسالمية، إال أن نتائجها مل تكن متسقة مع بعضها البعض. نموذج إىل استناًدا اإليرانيني السن كبار حياة جودة لقيمة العام املتوسط لتقدير الُبْعدي والتحليل املنهجية املراجعة هذه صممنا لقد األهداف:

.)36-SF( االستبيان املخترص للمسح الصحي Science In-formation( وقواعد البيانات الوطنية )Medline, Scopus, Science Direct( طرق البحث: بحثنا يف قواعد البيانات الدولية Database, MagIran, IranMedex, Irandoc( حتى فرباير/شباط 2015. وقمنا بتضمني مجيع الدراسات املقطعية التي َقيَّمت جودة احلياة

.36-SF للسكان املسنني اإليرانيني باستخدام االستبيان 8 يف احلياة جودة درجات متوسط وكان الُبْعدي، التحليل يف دراسة 15 أدرجنا حددناها، التي الدراسات من دراسة 2150 بني من النتائج:

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References 1. Bowen RL, Atwood CS. Living and dying for sex. A theory of aging based on the modulation of cell cycle signaling by reproduc-

tive hormones. Gerontology. 2004 Sep–Oct;50(5):265–90. https://doi.org/10.1159/000079125 PMID:15331856

2. Boyd DR, Bee HL, Johnson PA . Lifespan development. London: Pearson; 2006.

3. de Grey ADNJ. Life span extension research and public debate: societal considerations. Stud Ethics Law Technol. 2007;1(1): https:// doi.org/10.2202/1941-6008.1011

4. World Health Organization. Proposed working definition of an older person in Africa for the MDS Project (http://www.who.int/ healthinfo/survey/ageingdefnolder/en/, accessed 13 September 2018).

5. Atlas of selected results of the 2011 National Population and Housing Census. Tehran: Statistical Centre of Iran; 2014 (http:// www.amar.org.ir/Default.aspx?tabid=1242&articleType=ArticleView&articleId=1733, accessed 12 July 2018).

6. Measuring quality of life. Geneva: World Health Organization. Division of Mental Health and Prevention of Substance Abuse (http://www.who.int/mental_health/media/68.pdf, accessed 12 July 2018).

7. Basakha M, Kohneshahri LA , Masaeli A . Ranking the quality of life in Iran provinces. Soc Welfare (India). 2010;10(37):95–112.

8. Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992 Jun;30(6):473–83. https://doi.org/10.1097/00005650-199206000-00002 PMID:1593914

9. Abbasimoghadam MA , Dabiran S, Safdari R, Djafarian K. Quality of life and its relation to sociodemographic factors among elderly people living in Tehran. Geriatr Gerontol Int. 2009 Sep;9(3):270–5. https://doi.org/10.1111/j.1447-0594.2009.00532.x PMID:19702937

10. Agha nouri A , Mahmoudi M, Salehi H, Jafarian K. Quality of life in the elderly people covered by health centers in the urban areas of Markazi Province, Iran. Iran J Ageing. 2012;6(4):20–9.

11. Ahmadi F, Salar A , Faghihzadeh S. Quality of life in Zahedan elderly population. Hayat (Tihran). 2004;10(3):61–7.

12. Farhadi A , Froghan M, Mohammadi F. Rural quality of life of the elderly: a study on the city of Dashti in Bushehr province. Iran J Ageing. 2011;6(20):38–46.

13. Farzianpour F, Arab M, Hosseini SM, Pirozi B, Hosseini S. Evaluation of quality of life of the elderly population covered by healthcare centers of marivan and the influencing demographic and background factors in 2010. Iran Red Crescent Med J. 2012 Nov;14(11):695–6. https://doi.org/10.5812/ircmj.1834 PMID:23397047

14. Nejati V, Ashayeri H. Health related quality of life in the elderly in Kashan. Iran J Psychiatry Clin Psychol. 2008;14(1):56–61 (in Persian).

15. Salehi L, Salaki S, Alizadeh L. Health-related quality of life among elderly member of elderly centers in Tehran. Iran J Epidemiol. 2012;8(1):14–20 (in Persian).

16. Vahdaninia M, Goshtasebi A , Montazeri A , Maftoun F. Health-related quality of life in an elderly population in Iran: a popula- tion-based study. Payesh. 2005;4(2):113–20 (in Persian).

17. Ware Jr JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Med Care. 1992 Jun;30(6):473–83. PMID:1593914

18. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative. The Strengthening the Report- ing of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Prev Med. 2007 Oct;45(4):247–51. https://doi.org/10.1016/j.ypmed.2007.08.012 PMID:17950122

19. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003 Sep 6;327(7414):557–60. https://doi.org/10.1136/bmj.327.7414.557 PMID:12958120

20. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986 Sep;7(3):177–88. https://doi.org/10.1016/0197- 2456(86)90046-2 PMID:3802833

21. Albou Kordi M, Ramezani MA , Arizi F. A study on the quality of life among elderly Shahinshahr Area of Isfahan Province in year 2004. Jundishapur Sci Med J. 2007 Winter;4(5):701–7 (in Persian).

22. Baraz S, Rostami M, Farzianpor F, Rasekh A . Effect of Orem Self Care Model on ederies’ quality of life in health care centers of Masjed Solaiman in 2007–2008. Arak Med Univ J. 2009;12(2):51–9 (in Persian).

23. Farzianpour F, Hosseini S, Rostami M, Pordanjani SB, Hosseini SM. Quality of life of the elderly residents. Am J Appl Sci. 2012;9(1):71–4. https://doi.org/10.3844/ajassp.2012.71.74

و]59.55[ اجلسد آلالم و]55.78[ النفسية للصحة و]55.42[ البدنية للقدرة و]51.75[ البدين النشاط لدور ]47.58[ هي: مقاييس لألداء االجتامعي و]51.54[ للدور العاطفي و]47.85[ للصحة العامة و]51.31[ للحيوية.

يف منها النساء يف أسوأ احلياة جودة وكانت العمر، تقدم مع انخفضت قد بالصحة ترتبط التي احلياة جودة أن إىل نتائجنا أشارت االستنتاجات: الرجال، السيام حسب مقاييس النشاط البدين والصحة العامة، وكانت جودة احلياة لدى كبار السن الذين يعيشون يف دار لرعاية املسنني أقل مما هي عليه لدى الذين يعيشون يف منازهلم، وبالتايل ينبغي لراسمي السياسات الصحية تصميم برامج شاملة لتحسني جودة احلياة املرتبطة بصحة املسنني

اإليرانيني.

Research article

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24. Hekmatpou D, Jahani F, Behzadi F. Study the quality of life among elderly women in Arak in 2013. Arak Med Univ J. 2014;17(2):1–8 (in Persian).

25. Jafarzade Fakhari M, Behnam Vashani H, Vahedian Shahroudi M. The quality of life of the elderly in Sabzevar, Iran. J Sabzevar Univ Med Sci. 2010 Fall;17(3):213–7 (in Persian).

26. Naseh L, Shaikhy R, Rafii F. Quality of life and its related factors among elderlies living in nursing homes. Iran J Nurs. 2014;27(87):67–78.

27. Rafati N. Yavari P, Mehrabi Y, Montazeri A . Quality of life among Kahrizak charity institutionalized elderly people. J Sch Public Health Inst Public Health Res. 2005;3(2):67–75 (in Persian).

28. Rejeski WJ, Mihalko SL. Physical activity and quality of life in older adults. J Gerontol A Biol Sci Med Sci. 2001 Oct;56(Spec No 2) Suppl 2:23–35. https://doi.org/10.1093/gerona/56.suppl_2.23 PMID:11730235

29. Acree LS, Longfors J, Fjeldstad AS, Fjeldstad C, Schank B, Nickel KJ, et al. Physical activity is related to quality of life in older adults. Health Qual Life Outcomes. 2006 Jun 30;4(1):37. https://doi.org/10.1186/1477-7525-4-37 PMID:16813655

30. Kelley GA , Kelley KS, Hootman JM, Jones DL. Exercise and health-related quality of life in older community-dwelling adults: a meta-analysis of randomized controlled trials. J Appl Gerontol. 2009;28(3):369–94. https://doi.org/10.1177/0733464808327456

31. Nijs KA , de Graaf C, Kok FJ, van Staveren WA . Effect of family style mealtimes on quality of life, physical performance, and body weight of nursing home residents: cluster randomised controlled trial. BMJ. 2006 May 20;332(7551):1180–4. https://doi. org/10.1136/bmj.38825.401181.7C PMID:16679331

32. Andrew MK, Fisk JD, Rockwood K. Social vulnerability and prefrontal cortical function in elderly people: a report from the Cana- dian Study of Health and Aging. Int Psychogeriatr. 2011;23(3):450–8.

33. Cybulski M, Krajewska-Kulak E, Jamiolkowski J. Preferred health behaviors and quality of life of the elderly people in Poland. Clin Interv Aging. 2015 Sep 29;10:1555–64. https://doi.org/10.2147/CIA .S92650 PMID:26491271

34. Dai H, Jia G, Liu K. Health-related quality of life and related factors among elderly people in Jinzhou, China: a cross-sectional study. Public Health. 2015 Jun;129(6):667–73. https://doi.org/10.1016/j.puhe.2015.02.022 PMID:25796292

35. Poole C, Greenland S. Random-effects meta-analyses are not always conservative. Am J Epidemiol. 1999 Sep 1;150(5):469–75. https://doi.org/10.1093/oxfordjournals.aje.a010035 PMID:10472946

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