Abstract
Background:
Diabetes is the fifth leading cause of death in the world, which reduces the patients' quality of life (QOL) and is considered as an important subject especially in medicine and medical community. The present study aimed at investigating the QOL of diabetic patients in Iran through meta-analysis.
Methods:
The search was conducted using relevant keywords in national and international databases including Iranmedex, SID, Magiran, IranDoc, Medlib, Science Direct, PubMed, Scopus, Cochrane, Embase, Web of Science. Questionnaires WHOQOL, SF-36, SF-20, DQOL, QOL, PedsQL, ADDQOL, D-39, DQOL-BCI, SWED-QUAL, IRDQOL, PHG-2, EQ-5D, and IDQOL-BCI were used to assess the QOL. Heterogeneity of studies was assessed using I2 index. Data were analyzed using STATA version 11.
Results:
In 96 studies of 17,994 people, the mean score of QOL in diabetic patients was based on the questionnaires WHOQOL [66.55 (95% CI: 45.83, 87.26)], D-39 [129.43 (95%CI: 88.77, 170.10)], SF-36 [65.64 (95% CI: 59.82, 71.46)], SF-20 [46.50 (95% CI: 37.19, 55.81], DQOL [61.19 (95% CI: 35.73, 86.66)], QOL [117.91 (95% CI: -62.97, 298.79)], PedsQL [34.36 (95% CI: -31.49, 100.22)], ADDQOL [41.76 (95% CI: 12.01-71.50)], SWED-QUAL [59.19 (95% CI: 21.15, 97.23)], IRDQOL [105.92 (95% CI: 102.73, 109.10)], PHG-2 [61.00 (95%CI: 59.63, 62.37)], EQ-5D [0.62 (95% CI: 0.61, 0.64)], DQOL-BCI [3.40 (95% CI: 3.31, 3.49)], and IDQOL-BCI [22.63 (95% CI: -2.38, 47.64)].
Conclusions:
The QOL of diabetic patients was evaluated according to different types of questionnaires and the QOL of diabetic patients was found to be lower than normal population.
Keywords: Diabetes, meta-analysis, quality of life, systematic review
Introduction
World Health Organization defines quality of life (QOL) as an individuals' understanding of living condition in terms of culture and the prevailing community values following their goals, expectations, standards, and interests. Hence, QOL is closely related to physical, psychological, and mental condition, personal beliefs, level of self-reliance, mass communication, and environment.[1,2,3,4,5,6] One reason for the multidimensional complexity of QOL is that it includes different aspects of an individual's life. Another reason is that each individual has his/her own unique characteristics and his/her perception of a good or poor QOL is unique to that person.[1,2,3,4,5,6,7,8,9] The subject of QOL is important since it may lead to frustration, lack of motivation for any attempt and reduction of social, economic, cultural, and health activities. QOL influences the socioeconomic development of a country in deeper dimensions. Modifying the QOL is considered as a part of disease control program.[7,8,9]
Diabetes is known as a “silent epidemic” and is considered a major public health problem in the United States and other parts of the world, including Iran. It is the most prevalent metabolic disease with an increasing incidence, which shortens life expectancy by one third[10,11,12] and affects various aspects of a patient's life, including psychological, physical, social, and economic condition, family life and sexual function.[13,14,15,16] Type 1 and type 2 diabetes are two major forms of this disease and include about 10--90% of the diabetes population, respectively.[17]
According to the latest available data, about 171 million people suffer from diabetes worldwide. Asia is one of the regions with a high prevalence of diabetes.[18] Two percent of the Iranian population are suffering from the disease.[19] Due to the large proportion of diabetic patients in Iran and the direct impact of diabetes on the QOL of patients with diabetes, the present study aims to evaluate the QOL in diabetic patients in Iran. Considering that a meta-analysis study of the same title was published in 2016[20] and evaluated only two questionnaires (SF-20 and SF-36). Also the previous meta-analysis included only the results of 10 studies. The present meta-analysis was performed with the aim of updating the previous study and without considering the time limit, limiting the type of questionnaire and covering all studies published in this field. In the present meta-analysis, the QOL of diabetic patients was evaluated in the form of levels: Good, Moderate, and Poor. This issue was not presented in previous meta-analysis.
Methods
Search strategy
This is a systematic review and meta-analysis aimed at investigating the QOL of diabetic patients in Iran. In order to achieve the related documentation in Persian and English, two researchers independently searched both national and international databases, including Iranmedex, SID, Magiran, Iran-Doc, Med-Lib, Science-Direct, PubMed, Scopus, Cochrane, Embase, Web of Science, and Medline using related Persian keywords and their English equivalents: “Iran,” “meta-analysis,” “diabetes,” and “quality of life,” The keywords were searched using AND/OR operators. The search was performed without time limit until 22.04.2020. However, the articles in question were published between 2003 and 2020. The previous meta-analysis article published in this field belonged to 2016[20] and only examined the SF-20 and SF-36 questionnaires, while the current meta-analysis did not impose any restrictions on the type of questionnaires used in the reviewed articles. For this reason, various questionnaires such as: WHOQOL, SF-36, SF-20, DQOL, PedsQL, ADDQOL, D-39, DQOL-BCI, SWED-QUAL, and IRDQOL were evaluated. In cases of lack of access to the article's full text, the researchers asked the corresponding author for the full-text articles via email. To complete the search, Google Scholar was also searched.
Inclusion and exclusion criteria
Inclusion criteria included mentioning the QOL of diabetic patients in Iran in Persian and English. Exclusion criteria included non-random sampling, inadequate information in the article's text, and population other than diabetic patients.
Study selection
In the first phase of the search, 501 articles related to QOL of diabetic patients were found. After reviewing the titles, 289 duplicate and overlapping articles were excluded. Abstracts of all remaining articles were reviewed and 59 irrelevant articles were excluded. The full text of the remaining articles was reviewed then 57 studies were excluded due to having the exclusion criteria. Finally, 96 articles entered the qualitative evaluation stage.[Chart 1]
Qualitative evaluation of studies
To check the quality of studies, the STROBE checklist (strengthening the reporting of observational studies in epidemiology)[21] was applied. This checklist includes 22 items that cover different parts of a report (sampling, measuring variables, objectives of the study, and statistical analysis). Each item was given one point and higher points were given to other items that we considered more important. In this phase, four unqualified articles were excluded and finally 96 articles entered the meta-analysis stage.
Data extraction
To reduce bias in reporting and error in data collection, two researchers independently extracted data from articles and entered the data into a checklist, which included the following items: The first author's name, title of study, sample size, year of publication, city of study, diabetes type, questionnaire title, the subjects' average age, mean and standard deviation of the QOL of diabetic patients, mean and standard deviation of quality of life dimensions, etc.
Statistical analysis
Considering that the QOL in diabetic patients score and its subgroups score were quantitative, the mean and standard deviation of these indices were extracted in each study and the variance of the mean was calculated using normal distribution. Considering the heterogeneity of the studies, a random effects model was used to combine the results of the studies. The I2 index was used to investigate the heterogeneity of the studies. A random effects meta-analysis was used to give a pooled estimate of prevalence of QOL for each measure. Metaregression was used to check heterogeneity among the studies and to find any association between the year of publication and the sample size with QOL in diabetic patients. Subgroup analysis was done according to sex, components, and questionnaire. All statistical analyses were performed using STATA ver 14. The significance level of the tests was considered to be P < 0.05.
Results
In 96 reviewed studies with a sample of 17,994, the mean QOL score in diabetic patients was based on WHO Quality of Life-BREF (WHOQOL-BREF) [66.55 (95% CI: 45.83, 87.26)], D-39 [129.43 (95% CI: 88.77, 170.10)], Short Form-36 (SF-36) [65.64 (95% CI: 59.82, 71.46)], Short Form-20 (SF-20) [46.50 (95% CI: 37.19, 55.81)], Diabetes Quality of Life (DQOL) [61.19 (95% CI: 35.73, 86.66)], Quality of Life [QOL) (117.91 (95% CI: -62.97, 298.79)], PedsQL [34.36 (95% CI: -31.49, 100.22)], Audit of Diabetes Dependent Quality of Life (ADDQOL) [41.76 (95% CI: 12.01-71.50)], SWED-QUAL [59.19 (95% CI: 21.15, 97.23)], IRDQOL [105.92 (95% CI: 102.73, 109.10)], PHG-2 [61.00 (95% CI: 59.63, 62.37)], EQ-5D [0.62 (95% CI: 0.61, 0.64)], DQOL-BCI [3.40 (95% CI: 3.31, 3.49)], and Iranian version of the Diabetes Quality of Life Brief Clinical Inventory (IDQOL-BCI) [22.63 (95% CI: -2.38, 47.64)]. Considering the heterogeneity between the studies, the confidence interval for each study based on random-effects model is shown in Table 1.
Table 1.
ID | Author | Year of publication | City of study | Type of diabet | Sample size | Age mean | Questionnaire | Mean score of QOL | SD of QOL |
---|---|---|---|---|---|---|---|---|---|
[22] | Aghamolaei T | 2003 | Hormozgan | type 2 | 80 | 32-72 | WHOQOL-BREF | ||
[23] | Aghamolaei T | 2005 | Hormozgan | type 2 | 71 | 51.3 | WHOQOL-BREF | ||
[24] | Sadeghie Ahari S | 2008 | Ardebil | type 2 | 110 | 52.5 | SF-36 | ||
[25] | Ahmadi A | 2011 | Chaharmahal& Bakhtiari | type 2 | 254 | 30-65 | Developed by reserch team | ||
[26] | Alavi A | 2010 | Chaharmahal& Bakhtiari | type 1 | 22 | 15.33 | PedsQL | 0.78 | 0.48 |
[27] | Baghianimoghadam MH | 2008 | Yazd | type 2 | 120 | 25-75 | SF-20 | 51.03 | 17.04 |
[28] | Bazzazian S | 2010 | Tehran | type 1 | 300 | 18-30 | D-39 | 109.47 | 45.31 |
[29] | Borzou SR | 2010 | Hamedan | type 2 | 165 | SF-36 | |||
[30] | Safarabadi-Farahani T | 2010 | Tehran | type 1 | 70 | 14.94 | DQOL for youth | 56.28 | 12.2 |
[31] | Ghanbari A | 2004 | Guilan | type 2 | 90 | >40 | SWED-QUAL | 18.37 | 12.5 |
[32] | Ghanbari A | 2005 | East-Azerbaijan | type 2 | 117 | >35 | SWED-QUAL | 28 | 8.1 |
[33] | Haririan HR | 2009 | East-Azerbaijan | type 2 | 150 | 20-60 | SWED-QUAL | ||
[34] | Heydari M | 2007 | Zanjan | type 1 | 47 | 11-20. | Developed by reserch team | 106.65 | 45.75 |
[35] | Jafari P | 2011 | Fars | type 1 | 94 | 8-.18 | PedsQL | 67.98 | 14.03 |
[36] | Ghavami H | 2005 | west-Azerbaijan | type 2 | 74 | 40-65 | Developed by reserch team | 98 | |
[37] | Shahab-Jahanlou AR | 2011 | Hormozgan | type 2 | 256 | 27-72 | WHOQOL-BREF26 | ||
[38] | Shahab-Jahanlou AR | 2011 | Hormozgan | typ1& type 2 | 76 | 49.15 | IRDQOL | ||
[1] | Darvishpour-Kakhaki A | 2005 | Tehran | typ1& type 2 | 131 | 47.3 | SF-36 | ||
[39] | Sedaghati-Kasbakhi M | 2008 | Mazandaran | type 2 | 70 | SWED-QUAL | 131.72 | 25.88 | |
[40] | Kermansaravi F | 2012 | Sistan and Baluchestan | type 1 | 100 | 14.6 | DQOL for youth | 52.65 | 14.58 |
[41] | Khaledi S | 2011 | Kurdestan | type 2 | 198 | >18 | SF-36 | 70.82 | 18.97 |
[42] | Khamseh MA | 2011 | Tehran | type 1 | 150 | 22.14 | Developed by reserch team | 69.01 | 13.03 |
[43] | Peymani M | 2007 | Tehran | typ 1 and type 2 | 302 | >18 | Developed by reserch team | ||
[44] | Rakhshanderu S | 2006 | Tehran | type 2 | 40 | 40-65 | DQOL | 35.2 | 9.1 |
[45] | Rasouli D | 2011 | Tehran | patients with deiabetic foot ulcer | 120 | 54.23 | DFS | ||
[46] | Safavi M | 2011 | Ardebil | type 2 | 123 | 30-70 | QOL | 234.27 | 5.18 |
[47] | Sanjari M | 2011 | Kerman | typ 1 and type 2 | 132 | 52.98 | SF-36 | 314.18 | 138.24 |
[48] | Shahrjerdi S | 2009 | Markazi | type 2 | 27 | >35 | SF-36 | 83.08 | 11.06 |
[49] | Sayadi N | 2011 | Khuzestan | type 2 | 31 | 58.35 | SF-36 | 1775.81 | 955.4 |
[50] | Taghdisi MH | 2011 | Golestan | type 2 | 78 | 49 | WHOQOL | 80.39 | 11.35 |
[51] | Timareh M | 2012 | Kermanshah | typ 1 and type 2 | 350 | >18 | SF-36 | ||
[52] | Vares Z | 2010 | Isfahan | typ 1 and type 2 | 310 | >18 | IRDQOL | 105.8 | 44.1 |
[53] | Vazirinezhad R | 2010 | Kerman | 101 | 50.8 | SF-36 | |||
[54] | Yekta Z | 2011 | West-Azerbaijan | type 2 | 250 | 60.73 | SF-36 | 57.52 | 17.1 |
[38] | Shahab-Jahanlou AR | 2011 | Hormozgan | typ 1 and type 2 | 76 | 49.15 | WHOQOL | ||
[55] | Mirfeizi M | 2012 | Karaj | 180 | 53.47 | IDQOL-BCI | 9.89 | 2.51 | |
[56] | Shahi M | 2017 | Semnan | type 2 | 60 | 57.82 | QOL | ||
[57] | Najafi-Ghezeljeh T | 2017 | Tehran | type 2 | 65 | 54.3 | IDQOL-BCI | 35.41 | 7.8 |
[58] | Shamshirgaran SM | 2016 | Ardebil | type 2 | 300 | 54.13 | WHOQOL | 53.07 | 7.09 |
[59] | Hajian-Tilaki K | 2016 | Babol | 750 | 67.85 | SF-36 | |||
[60] | Dadgostar H | 2016 | Tehran | type 2 | 74 | 49.65 | SF-36 | ||
[61] | Jafari N | 2014 | Isfahan | type 2 | 203 | 55.42 | PHG-2 | 61 | 9.97 |
[62] | Abdoli S | 2015 | Malayer | type 2 | 40 | 35-85 | WHOQOL-BREF | ||
[63] | Hadi N | 2013 | Shiraz | typ 1 and type 2 | 300 | 50.98 | SF-36 | ||
[64] | Shavandi N | 2010 | Markazi | type 2 | 17 | 48.52 | SF-36 | 74.58 | 11.34 |
[65] | Shayeghian Z | 2013 | Tehran | type 2 | 100 | 55.4 | ADDQoL | 26.63 | 12.01 |
[66] | Alipour A | 2012 | Yaza | type 2 | 80 | 46.2 | ADDQoL | 56.98 | 18.63 |
[67] | Afshar M | 2014 | Kashan | type 2 | 56 | 14.75 | IRDQOL | 106 | 15.95 |
[68] | Derakhshanpour F | 2015 | Gorgan | type 2 | 330 | 50.6 | WHOQOL-BREF | 54.79 | 13.7 |
[69] | Zaker MR | 2016 | Urmia | 80 | DQOL | 46.04 | 4.3 | ||
[70] | Didarloo AR | 2016 | Khoy | type 2 | 352 | 43 | WHOQOL-BREF | 58.02 | 17.63 |
[71] | Gholami A | 2013 | Neishabour | type 2 | 1847 | 59.65 | WHOQOL-BREF | 12.18 | 2.3 |
[72] | Torabi M | 2014 | Hamedan | type 2 | 110 | 47.4 | SF-36 | ||
[73] | Izadi A | 2014 | Khoram Abad | type 2 | 80 | 30-70 | SF-20 | ||
[74] | Khodabakhsi-Kulaei A | 2015 | Tafresh | type 2 | 24 | 50.58 | WHOQOL | 68 | 11.08 |
[75] | Mohammad-Shahi A | 2014 | Ahvaz | type 2 | 110 | 53.69 | SF-36 | ||
[76] | Saeedpour J | 2013 | Tehran | 60 | 40 | SF-36 | 43.5 | 15.7 | |
[4] | Masoudi-Alavi N | 2004 | Tehran | typ 1 and type 2 | 104 | 50.5 | QOL | 116.7 | 18.8 |
[77] | Ghasemipour M | 2009 | Khoram Abad | 150 | 18-65 | QOL | 2.77 | 0.79 | |
[78] | Eydi-Bayegi M | 2014 | Ahvaz | type 2 | 50 | 46.2 | WHOQOL-26 | 73.91 | 14.85 |
[79] | Sadeghi T | 2012 | Rafsanjan | 70 | 18-65 | SF-36 | |||
[80] | Zaree-Bahramabadi M | 2012 | Sanandaj | type 2 | 48 | 30-50 | SF-36 | 53.3 | 10.76 |
[81] | Qashqaei S | 2014 | Shiraz | type 2 | 42 | 35-65 | SF-36 | 56.37 | 18.25 |
[82] | Saadatjuo SAR | 2012 | Birjand | type 2 | 100 | 42.82 | SF-36 | 57.29 | 26.09 |
[83] | Behrooz B | 2016 | Kermanshah | type 2 | 16 | 49.47 | WHOQOL-26 | 137.92 | 12.9 |
[84] | Ebrahimi H | 2014 | Shahrood | type 2 | 156 | 48.11 | DQOL | 164.53 | 63.21 |
[85] | Mohammadshahi GHR | 2016 | Taybad | type 2 | 20 | 47.75 | SF-36 | ||
[86] | Shams S | 2015 | Urmia | 80 | SF-36 | ||||
[87] | Mohammadpour Y | 2008 | Tabriz | type 2 | 150 | Self-made | |||
[88] | Ganjluo J | 2015 | Sabzevar | type 2 | 75 | 35-65 | ADDQOL-19 | ||
[89] | Bidi F | 2012 | Bojnord | type 2 | 40 | 52.17 | SF-20 | 41.52 | 16.28 |
[90] | Derakhshanpour F | 2015 | Gorgan | type 2 | 330 | 51 | WHOQOL | ||
[91] | Bahadori-Khosroshahi J | 2011 | Tabriz | 100 | 20-60 | WHOQOL-26 | 47.48 | 16.33 | |
[92] | Fooladvandi M | 2014 | Kerman | type 2 | 96 | 53.08 | SF-36 | 54.21 | 15.16 |
[93] | Shahraki-Vahed A | 2010 | Zabol | typ 1 and type 2 | 100 | >7 | SF-36 | ||
[94] | Taghdisi MH | 2011 | Minudasht | type 2 | 78 | 49 | WHOQOL-BREF | 80.39 | 11.35 |
[95] | Sepehrnia I | 2011 | Karaj | 30 | 40-65 | SF-36 | 53.97 | 13.09 | |
[96] | Fathi-Ahmadsaraee N | 2016 | Karaj | type 2 | 40 | 42.83 | DQOL | 26.37 | 4.51 |
[97] | Moein M | 2014 | Kashan | type 2 | 96 | 51.45 | DQOL | 105.23 | 16.06 |
[98] | Khalili M | 2016 | Isfahan | type 2 | 123 | 52 | DQOL | 1.88 | 0.36 |
[99] | Hadipour M | 2013 | type 2 | 3472 | 59.4 | EQ-5D | 0.623 | 0.387 | |
[100] | Daneshvar S | 2018 | Ilam | typ 1 and type 2 | 122 | 57.74 | SF-36 | ||
[101] | Soleimani Z | 2016 | Sabzevar | typ 1 and type 2 | 189 | 51.7 | DQOL-BCI | 3.4 | 0.62 |
[102] | Kaveh MH | 2018 | Shiraz | type 2 | 207 | 55.35 | DQOL | 45.95 | 9.67 |
[103] | Shafiee-Kandjani AR | 2018 | Tabriz | type 2 | 263 | SF-36 | 57.52 | 20.18 | |
[104] | Sotodeh-Asl N | 2020 | Semnan | type 2 | 50 | >18 | SF-36 | 75.66 | 12.97 |
[105] | Tafazoli M | 2017 | Mashhad | type 2 | 90 | 43.58 | SF-36 | 58.75 | 16.24 |
[106] | Tavakkoli L | 2017 | Kerman | type 2 | 198 | 54.91 | WHOQOL-BREF | ||
[107] | Borhaninejad, VR | 2016 | Kerman | 120 | 71.32 | SF-36 | 46.48 | 20.45 | |
[108] | Zareipour MA | 2017 | type 2 | 250 | 35-65 | SF-36 | 58.32 | 19.62 | |
[109] | Soleymanian T | 2017 | Tehran | 219 | 62.2 | SF-36 | 45.7 | 20.9 | |
[110] | Barzegar Damadi MA | 2018 | Sari | type 2 | 15 | 43.5 | D-39 | 151 | 33.17 |
[111] | Shakeri M | 2018 | Bojnord | type 2 | 18 | 53.5 | SF-36 | ||
[112] | Marzban A | 2018 | Yazd | type 2 | 600 | 56.11 | DQOL | 79.34 | 11.02 |
[113] | Ghaedrahmati A | 2019 | Isfahan | type 2 | 12 | 44 | SF-36 | 54.25 | 4.78 |
According to the results, the mean QOL score in diabetic patients is presented in Table 2. In the WHOQOL-BREF questionnaire, the highest and lowest scores of QOL score in diabetic patients were related to Social Activity (48.36) and the Mental (36.29), respectively. In the SF-36 questionnaire, the highest and lowest quality of life scores of diabetic patients were related to Limitation of Activity (52.72) and Peripheral (24.10), respectively. The mental dimension (20.75) and the Peripheral (9.60) had the highest and lowest QOL scores of diabetic patients in the SF-20 questionnaire. In the DQOL questionnaire, the highest and lowest QOL scores of diabetic patients were related to General Health dimension (41.25) and Social Activity (13.46), respectively. In the QOL questionnaire, the Peripheral dimension (20.23) and the Social Activity dimension (5.18) had the highest and lowest QOL scores of diabetic patients, respectively. In the PedsQL questionnaire, the highest and lowest QOL scores of diabetic patients were related to Emotion dimension (59.84) and Peripheral dimension (33.15), respectively. In the SWED-QUAL questionnaire, the highest and lowest QOL scores of diabetic patients were related to Physical dimension (21.84) and Physical Pain dimension (8.07), respectively. In the IRDQOL questionnaire, the highest and lowest QOL scores of diabetic patients were related to Social Activity dimension (69.53) and Physical dimension (57.03), respectively. In the PHG-2 questionnaire, the highest and lowest QOL scores of diabetic patients were related to Physical dimension (16.43) and Emotion dimension (9.84), respectively.
Table 2.
Questionnaire | Subgroups: Diabetic Patients’ Quality of Life | Number of studies | The quality of life of diabetic patients (CI 95%) | P | I2 (%) |
---|---|---|---|---|---|
WHOQOL | Total | 10 | 66.55 (45.83, 87.26) | <0.0001 | 100 |
Men | 4 | 46.41 (14.76, 78.06) | <0.0001 | 99.8 | |
Women | 4 | 42.33 (13.92, 70.73) | <0.0001 | 99.9 | |
Physical Aspect | 15 | 41.06 (26.35, 55.78) | <0.0001 | 100 | |
Mental Aspect | 14 | 36.29 (22.26, 50.33) | <0.0001 | 100 | |
Social Activity Aspect | 14 | 48.36 (34.63, 62.09) | <0.0001 | 100 | |
Peripheral Aspect | 11 | 36.73 (29.46, 44) | <0.0001 | 99.9 | |
General Health Aspect | 2 | 31.70 (-24.34, 87.73) | <0.0001 | 100 | |
SF-36 | Total | 19 | 65.64 (59.82, 71.46) | <0.0001 | 98.3 |
Men | 1 | 49.86 (42.34, 57.38) | - | - | |
Women | 1 | 63.62 (56.64, 70.60) | - | - | |
Physical Aspect | 32 | 51.97 (42.75, 61.19) | <0.0001 | 100 | |
Mental Aspect | 31 | 46.68 (38.99, 54.36) | <0.0001 | 99.9 | |
Social Activity Aspect | 28 | 48.42 (41.37, 55.46) | <0.0001 | 99.9 | |
Peripheral Aspect | 2 | 24.10 (22.94, 25.26) | 0.143 | 53.4 | |
Vitality Aspect | 24 | 49.69 (43.26, 56.11) | <0.0001 | 99.5 | |
General Health Aspect | 24 | 43.62 (37.0, 50.24) | <0.0001 | 99.6 | |
Physical Pain Aspect | 26 | 51.16 (40.61, 61.70) | <0.0001 | 99.9 | |
Physical Role Aspect | 12 | 48.31 (42.53, 54.10) | <0.0001 | 96.5 | |
Emotion Aspect | 15 | 51.32 (45.18, 57.47) | <0.0001 | 98.7 | |
Limitation of Activity Aspect | 12 | 52.72 (33.13, 72.31) | <0.0001 | 99.7 | |
SF-20 | Total | 2 | 46.50 (37.19, 55.81) | 0.002 | 90 |
Men | 1 | 54.80 (49.87, 59.73) | - | - | |
Women | 1 | 48.47 (44.71, 52.23) | - | - | |
Physical Aspect | 1 | 16.05 (15.42, 16.68) | - | - | |
Mental Aspect | 1 | 20.75 (19.99, 21.51) | - | - | |
Social Activity Aspect | 1 | 18.05 (17.43, 18.67) | - | - | |
Peripheral Aspect | 1 | 9.60 (9.06, 10.14) | - | - | |
DQOL | Total | 10 | 61.19 (35.73-86.66) | <0.0001 | 100 |
Physical Aspect | 3 | 19.81 (8.70, 30.92) | <0.0001 | 99.9 | |
Mental Aspect | 3 | 23.67 (10.00, 37.34) | <0.0001 | 99.9 | |
Social Activity Aspect | 3 | 13.46 (7.03, 19.89) | <0.0001 | 99.6 | |
Peripheral Aspect | 2 | 15.26 (-0.92, 31.44) | <0.0001 | 99.9 | |
General Health Aspect | 1 | 41.25 (37.54, 44.96) | - | - | |
QOL | Total | 3 | 117.91 (-62.97-298.79) | <0.0001 | 100 |
Physical Aspect | 2 | 9.95 (-5.40, 25.29) | <0.0001 | 99.8 | |
Mental Aspect | 2 | 8.84 (-3.54, 21.23) | <0.0001 | 99.7 | |
Social Activity Aspect | 2 | 5.18 (2.09, 8.26) | <0.0001 | 98.8 | |
Peripheral Aspect | 1 | 20.23 (19.13, 21.33) | - | - | |
PedsQL | Total | 2 | 34.36 (-31.49, 100.22) | <0.0001 | 100 |
Physical Aspect | 2 | 35.06 (-31.78, 101.89) | <0.0001 | 99.9 | |
Mental Aspect | 2 | 34.29 (-30.44, 99.03) | <0.0001 | 99.9 | |
Social Activity Aspect | 2 | 38.62 (-36.12, 113.37) | <0.0001 | 99.9 | |
Peripheral Aspect | 2 | 33.15 (-30.76, 97.07) | <0.0001 | 99.9 | |
Emotion Aspect | 1 | 59.84 (55.71, 63.97) | - | - | |
ADDQOL | Total | 2 | 41.76 (12.01, 71.50) | <0.0001 | 99.4 |
Physical Aspect | 1 | -1.81 (-1.96, -1.66) | - | - | |
Mental Aspect | 1 | -0.94 (-1.11, -0.76) | - | - | |
Social Activity Aspect | 1 | -0.96 (-1.07, -0.85) | - | - | |
D-39 | Total | 2 | 129.43 (88.77, 170.10) | <0.0001 | 95.4 |
SWED-QUAL | Total | 3 | 59.19 (21.15, 97.23) | <0.0001 | 99.8 |
Physical Aspect | 2 | 21.84 (14.66, 29.02) | <0.0001 | 98.9 | |
Physical Pain Aspect | 2 | 8.07 (3.89, 12.26) | <0.0001 | 98.8 | |
Physical Role Aspect | 1 | 9.70 (8.89, 10.51) | - | - | |
Emotion Aspect | 2 | 20.48 (9.50, 31.47) | <0.0001 | 99.5 | |
IRDQOL | Total | 2 | 105.92 (102.73, 109.10) | 0.952 | 0 |
Physical Aspect | 1 | 57.03 (56.65, 57.41) | - | - | |
Mental Aspect | 1 | 59.54 (59.29, 59.79) | - | - | |
Social Activity Aspect | 1 | 69.53 (69.16, 69.90) | - | - | |
PHG-2 | Total | 2 | 22.63 (-2.38, 47.64) | <0.0001 | 99.9 |
Physical Aspect | 1 | 16.43 (15.60, 17.26) | - | - | |
Social Activity Aspect | 1 | 16.04 (15.30, 16.78) | - | - | |
Emotion Aspect | 1 | 9.84 (9.13, 10.55) | - | - | |
IDQOL-BCI | Total | 1 | 3.40 (3.31, 3.49) | - | - |
Mental Aspect | 2 | 11.82 (11.36, 12.29) | 0.690 | 0 | |
Social Activity Aspect | 2 | 11.82 (11.36, 12.29) | 0.690 | 0 |
In the Sf-36 questionnaire, 15% of diabetic patients had a good QOL and 46% had a poor QOL. In the Sf-20 questionnaire, 29% of diabetic patients had a good QOL and 36% had a low QOL. In the QOL questionnaire, 36% of diabetic patients had a desirable QOL and 45% had a poor QOL. In the WHOQOL questionnaire, 55% of diabetic patients had an acceptable QOL and 37% had a poor QOL. In the SWED-QUAL questionnaire, 62% of diabetic patients had an acceptable QOL and 38% had a poor QOL. In the IRDQOL questionnaire, 11% of diabetic patients had an acceptable QOL and 66% had a poor QOL [Table 3].
Table 3.
Questionnaire | Subgroups | Number of study | The QOL in diabetic patients (95%CI) | P | I2 (%) |
---|---|---|---|---|---|
SF-36 | Good | 3 | 15 (-2, 32) | <0.0001 | 100 |
Fair | 3 | 68 (53, 83) | <0.0001 | 100 | |
Poor | 3 | 46 (0, 92) | <0.0001 | 100 | |
SF-20 | Good | 3 | 29 (14, 44) | <0.0001 | 100 |
Fair | 3 | 35 (30, 39) | <0.0001 | 99.5 | |
Poor | 3 | 36 (32, 41) | <0.0001 | 99.5 | |
QOL | Good | 2 | 36 (24, 47) | <0.0001 | 100 |
Fair | 1 | 29 (29, 30) | - | - | |
Poor | 2 | 45 (20, 71) | <0.0001 | 100 | |
WHOQOL | Good | 1 | 55 (55, 55) | - | - |
Fair | 1 | 56 (55, 56) | - | - | |
Poor | 1 | 37 (37, 37) | - | - | |
SWED-QUAL | Good | 2 | 62 (19, 105) | <0.0001 | 100 |
Poor | 2 | 38 (-5, 81) | <0.0001 | 100 | |
IRDQOL | Good | 1 | 11 (11, 11) | - | - |
Fair | 1 | 23 (22, 23) | - | - | |
Poor | 1 | 66 (66, 66) | - | - |
In order to perform additional analyzes, we plotted the meta-regression diagram. There was no significant statistical relationship in the study of meta-regression score of quality of life in diabetic patients based on the year of study (P = 0.565) [Figure 1]. This means that over time, the QOL of diabetic patients has not decreased. The relationship between QOL score in diabetic patients and the number of research samples was not statistically significant (P = 0.106) [Figure 2].
Discussion
In 96 reviewed studies with a sample of 17,994, the QOL score in diabetic patients was 66.55 in WHOQOL, 65.64 in SF-36, 46.50 in SF-20, 61.19 in DQOL, 117.91 in QOL,129.43 in D-39, 34.36 in PedsQL, 41.76 in ADDQOL, 22.63 in IDQOL-BCI, 3.40 in DQOL-BCI, 0.62 in EQ-5D, 61.00 in PHG-2, 105.92 in IRDQOL, 59.19 in SWED-QUAL.
So far, several meta-analyzes have been conducted on the status of QOL in diabetic patients in Iran, which we will examine below: In a meta-analysis of T. Schram et al. (2009)[114] in The Netherlands, the aim was to investigate the relationship between depression and quality of life in diabetic patients. All studies suggest a negative association between depressive symptoms and at least one aspect of QOL in people with diabetes. People with diabetes with depressive symptoms also had a much lower QOL than diabetes.
In meta-analysis of Kiadaliri et al. (2013),[115] 46 studies found that people with diabetes were less likely to have health-related quality of life (HRQoL) without diabetes. The study covered 20 of Iran's 30 provinces. Of these 46 studies, 5 were type 1 diabetes and 23 were type 2 diabetes, and other studies were a combination of different types of diabetes. However, our study covered the studies published until 2017, and therefore the number of studies studied in our study is about twice that of the 2013 meta-analysis.In 2016, Soleimannejad et al.[20] Studied the QOL of diabetic patients in 10 studies. And we decided to update this study: In the previous meta-analysis the number of studies studied was 10, whereas in the present study 82 studies were reviewed.
In previous meta-analysis, only studies using questionnaires SF-36 and SF-20 were evaluated. However, in the present meta-analysis, all available questionnaires (WHOQOL-BREF, SF-36, SF-20, DQOL, QOL, PedsQL, ADDQoL, Youth Diabetes QOL and IDQOL-BCI) have been reviewed and no restrictions have been imposed on the questionnaire.
The number of samples studied in the previous meta-analysis was 1,082, while in the present study 15,571 diabetic patients were evaluated.
In the present meta-analysis, the QOL score of diabetic patients was examined by type of questionnaire and by dimensions of questionnaires and compared with each other, whereas this was not the case in previous meta-analysis.
Current meta-analysis covers studies published as of December 31, 2016, while previous meta-analysis has carried out resource search for year 2015
-
Current meta-analysis, in addition to the databases used by the previous meta-analysis, it has also examined the Cochrane, Embase, and Medline databases.
Given the above, the present study is more complete than the previous meta-analysis study.
In the present meta-analysis, the QOL of diabetic patients was evaluated in the form of levels: Good, Moderate, and Poor. This issue was not presented in previous meta-analysis.
Recently, two meta-analysis has been published in this regard, which we refer to: In meta-analysis Mokhtari et al. (2018)[116] of 5,472 samples, the mean physical dimension score in patients with type 2 diabetes (53.5, 95% CI: 43.1--63.9) and the mean mental dimension score (54.5, 95% CI: 47--61.9) was less. As the age of the samples increased, the mean HRQoL score in diabetic patients in Iran decreased significantly.
In a meta-analysis of Dehvan et al.) 2019(,[117] the QOL of type 2 diabetes patients in Iran was examined. The mean QOL of patients with type 2 diabetes was 61.90 (95% CI: 54.40--6940.). The highest and lowest QOL was achieved in terms of social support (49.19) and mental health (42.96). In this study, the WHOQOL-BREF questionnaire was used to assess the QOL of diabetic patients and therefore the number of studies studied was limited (16 studies). However, in our study, we did not have any restrictions on the type of diabetes or the type of questionnaire. A meta-analysis of Khunkaew et al. (2018),[118] 12 studies in Australia found this conclusion. Overall, the HRQOL of participants in the studies was poor on four of eight subscales in the SF-36: Physical functioning (42.75); role physical (20.61); general health (39.52); and vitality (45.73). The results of this study are almost consistent with the results of the present meta-analysis.[113,114,115,116]
Thommasen et al. conducted a study on the people of China, Malaysia, and India. In China, the mean scores of physical functioning was 83.3, public health was 69.3, social functioning was 83.9, and mental health was 72.9. In Malaysia, the mean scores of physical functioning was 86.6, public health was 68.6, social functioning was 78.8, and mental health was 75. In India, the mean scores of physical functioning was 73.9, public health was 70.1, social functioning was 86.1, and mental health was 71.5.[119]
QOL[1,118,119] Given that varied data have been archived for QOL of diabetic patients, the present meta-analysis was used to obtain an accurate estimate of the QOL of diabetic patients.
Conclusions
In this study, the QOL of diabetic patients was evaluated according to different types of studied questionnaires. We found that QOL of diabetic patients was lower than normal society. According to the results, the highest and lowest mean QOL score in diabetic patients in Iran were related to the D-39 questionnaire (129.43) and the EQ-5D questionnaires (0.62), respectively.
Limitations of the study
The limitations of the present study include lack of access to the full text of articles, lack of sufficient data in some articles, lack of reference to mean and standard deviation of QOL score in diabetic patients in some studies, and lack of uniform distribution of studies in different regions of Iran.
Authors' contribution
MF, MR, MA and DS searched the literature and analyzed the papers. The extraction stage was performed by MR, MA and DS. DS, MF, AHD prepared the manuscript. All authors read and signed the final paper.
Supplement
Full name | Abbreviated name |
---|---|
Quality of life | QOL |
WHO Quality of Life-BREF | WHOQOL-BREF |
Short Form-36 | SF-36 |
Short Form-20 | SF-20 |
Diabetes Quality of Life | DQOL |
Quality of Life | QOL |
The World Health Organization Quality of Life | WHOQOL |
Pediatric Quality of Life Inventory | PedsQL |
Audit of Diabetes Dependent Quality of Life | ADDQoL |
Iranian version of the Diabetes Quality of Life IDQOL-BCI Brief Clinical Inventory
Ethical considerations
Ethical issues (including plagiarism, data fabrication, double publication) have been completely observed by the authors.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
Footnotes
Quality of life
WHO Quality of Life-BREF
Short Form
Diabetes Quality of Life
Quality of Life
Pediatric Quality of Life Inventory
Audit of Diabetes Dependent Quality of Life
Iranian version of the Diabetes Quality of Life Brief Clinical Inventory
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