Skip to main content
BMC Public Health logoLink to BMC Public Health
. 2016 Feb 9;16:132. doi: 10.1186/s12889-016-2818-2

Epidemiology of diabetes and complications among adults in the Republic of Ireland 1998-2015: a systematic review and meta-analysis

Marsha L Tracey 1,, Michael Gilmartin 2, Kate O’Neill 1, Anthony P Fitzgerald 1, Sheena M McHugh 1, Claire M Buckley 1,3, Ronan J Canavan 4, Patricia M Kearney 1
PMCID: PMC4748605  PMID: 26861703

Abstract

Background

Accurate estimates of the burden of diabetes are essential for future planning and evaluation of services. In Ireland, there is no diabetes register and prevalence estimates vary. The aim of this review was to systematically identify and review studies reporting the prevalence of diabetes and complications among adults in Ireland between 1998 and 2015 and to examine trends in prevalence over time.

Methods

A systematic literature search was carried out using PubMed and Embase. Diabetes prevalence estimates were pooled by random-effects meta-analysis. Poisson regression was carried out using data from four nationally representative studies to calculate prevalence rates of doctor diagnosed diabetes between 1998 and 2015 and was also used to assess whether the rate of doctor diagnosed diabetes changed over time.

Results

Fifteen studies (eight diabetes prevalence and seven complication prevalence) were eligible for inclusion. In adults aged 18 years and over, the national prevalence of doctor diagnosed diabetes significantly increased from 2.2 % in 1998 to 5.2 % in 2015 (p trend ≤ 0.001). The prevalence of diabetes complications ranged widely depending on study population and methodology used (6.5–25.2 % retinopathy; 3.2–32.0 % neuropathy; 2.5-5.2 % nephropathy).

Conclusions

Between 1998 and 2015, there was a significant increase in the prevalence of doctor diagnosed diabetes among adults in Ireland. Trends in microvascular and macrovascular complications prevalence could not be examined due to heterogeneity between studies and the limited availability of data. Reliable baseline data are needed to monitor improvements in care over time at a national level. A comprehensive national diabetes register is urgently needed in Ireland.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-016-2818-2) contains supplementary material, which is available to authorized users.

Keywords: Ireland, Prevalence, Trends, Diabetes, Microvascular, Macrovascular, Adults, Epidemiology

Background

Diabetes is a serious global public health issue which has been described as the most challenging health problem in the 21st century [1, 2]. Cases of diabetes have progressively increased worldwide; between 1980 and 2008 there was a two-fold increase in the number of adults with diabetes [3]. Type 2 diabetes is the main driver of the epidemic, accounting for approximately 90 % of all cases [2]. The increasing burden of diabetes is driven primarily by rising levels of obesity and an ageing population [2, 4]. To date there is no national surveillance programme, or national population-based survey of diabetes in Ireland. Therefore it is difficult to quantify or monitor the impact of diabetes at a national level. Estimates from the International Diabetes Federation (2013) suggest that the prevalence of diabetes is in line with global trends. In 2000, the IDF estimated that the prevalence of diabetes was 3.2 % [5], this had increased to 6.5 % in 2013 [2].

Diabetes places a significant burden of care on the individual, health care professionals and the wider health system [1, 6]. Individuals with diabetes are two to four times more likely to develop cardiovascular disease relative to the general population and have a two to five-fold greater risk of dying from these conditions [7, 8]. Diabetes is a significant cause of blindness in adults, non-traumatic lower limb amputations and end-stage renal disease resulting in transplantation and dialysis [2].

Understanding the epidemiology of diabetes is essential to identify public health priorities. Accurate estimates of the burden of diabetes are essential for future planning and evaluation of services. While the IDF provides prevalence estimates for countries and regions, there are substantial variations in time trends as estimates are based on imputations [9, 10]. To date, estimates of diabetes prevalence in Ireland have been largely based on data from the 2007 National Survey of Health and Lifestyles in Ireland (SLÁN) [11]. Country specific prevalence rates have also been reported in the grey literature [2]; however these estimates have been extrapolated using data from the UK. The Euro Diabetes Index (2014) stated that there was a lack of reliable data to monitor diabetes related complications in Ireland [12]. To date, a comprehensive overview of the diabetes situation in Ireland has not been carried out. Therefore the rationale for carrying out this systematic review is to provide a comprehensive understanding of the diabetes situation in Ireland and to highlight current gaps in existing knowledge to inform future research. The aims of this review are (1) to systematically identify and summarise studies describing the prevalence of diabetes and the most common microvascular (retinopathy, neuropathy and nephropathy) and macrovascular complications among adults in Ireland between 1998 and 2014; and (2) to explore trends in diagnosed diabetes prevalence between 1998 and 2015.

Methods

This review was produced according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines for systematic reviews and meta-analyses [13]. Key words and study eligibility criteria were determined a priori.

Search strategy

Both peer-reviewed journal articles and reports were considered for this review. A systematic literature search was carried out in PubMed and Embase databases to identify relevant studies reporting the prevalence of diabetes, microvascular or macrovascular complications among adults within the Republic of Ireland. Keywords and Medical Subject Headings (MeSH) terms included Ireland, prevalence, diabetes, microvascular, retinopathy, neuropathy, nephropathy, macrovascular and cardiovascular disease. Keywords were combined using the AND or OR operators (Additional file 1). Titles and abstracts of the resulting literature were screened for further consideration. Reference lists of articles were also examined to identify potentially relevant studies. In addition, a Google search was conducted using the keywords prevalence, diabetes, retinopathy, neuropathy, nephropathy and Ireland to identify relevant grey literature. Searches were carried out between January 2014 and March 2014. A second search was carried out in December 2015 to ensure the review included all up to date relevant information.

Inclusion criteria

Studies were eligible for inclusion if they met the following criteria: (1) conducted in the Republic of Ireland between 1998 and 2014; (2) cross-sectional study design or baseline data from longitudinal studies; (3) prevalence estimates reported for adults aged ≥ 18 years, including men and women; (4) data provided on diabetes prevalence (including a self-report of a previous doctor diagnosis and undiagnosed diabetes) and/or the prevalence of microvascular complications (retinopathy, neuropathy, nephropathy) or macrovascular complications (myocardial infarction, congestive heart failure, stroke or TIA) in persons with diabetes; (5) if prevalence data were not reported, sufficient detail to calculate the numerator and denominator was provided; (6) the total sample size was ≥ 200; (7) adequate information was reported on the methods used.

Exclusion criteria

Studies containing participants from Northern Ireland, restricted to a specific sub-population (including hospital-based studies), solely focused on type 1 diabetes, pre-diabetes or gestational diabetes were excluded from this review. Model estimates of prevalence were also excluded. If multiple articles provided information on a single study, the article detailing the most comprehensive data was selected. Full text articles were retrieved for all potentially eligible studies and were independently reviewed by three authors (MT, MG, and KON).

Data abstraction and quality assessment

For each eligible study, three reviewers (MT, MG, and KON) individually collected relevant information using a structured data extraction form. The methodological quality of each included study was assessed using a critical appraisal checklist for studies used in systematic reviews addressing questions of prevalence [14]. This appraisal tool was developed to specifically examine the internal and external validity of prevalence data included in systematic reviews. Methodological quality was considered ‘low’ if three or less criteria were met, ‘moderate’ if four to six criteria were met and ‘high’ if seven to nine criteria were met. Articles were not excluded on the basis of quality. Any inconsistencies in data abstraction and quality assessment between reviewers were resolved through consensus.

Statistical analysis

A meta-analysis was carried out using STATA version 13.1 (StataCorp, College Station, TX, USA). Studies were grouped into four categories: diagnosed diabetes among adults aged 18+ years; diagnosed and undiagnosed diabetes among adults aged 45+ years; diagnosed diabetes among adults aged 45+ years; undiagnosed diabetes among adults aged 45+ years. Pooled estimates of diabetes prevalence and 95 % confidence intervals (95 % CI) were calculated. Trends in pooled prevalence could not be explored as there was a lack of available data from different time points; therefore an overall estimate was provided for each group. Heterogeneity between studies was assessed by the Chi-square based Q test and I2 statistic. Potential publication bias was evaluated by the Begg’s test. A two-tailed p <0.05 was regarded to be statistically significant. High heterogeneity was found among studies reporting diabetes prevalence (I2 ≥ 75 %, p-value < 0.01) hence, pooled estimates were calculated using random-effects model using the method of DerSimonian and Laird [15]. The results from the meta-analysis were presented in a forest plot. To determine the robustness of the results, a sensitivity analysis, based on high quality studies, was carried out. A meta-analysis of the prevalence of diabetes complications was inappropriate; factors which influence prevalence estimates (e.g. time since diabetes diagnosis, type of diabetes, method of diagnosis) either varied between studies or were not reported. Instead a narrative synthesis provides a summary of relevant data.

Trends in diagnosed diabetes

As trends in diabetes prevalence could not be calculated by meta-analysis, original datasets from four national population based studies [1619], identified during the literature search were obtained and analysed. In each dataset, diabetes was defined by a self-report of a previous doctor diagnosis. A detailed description on study methodology can be found elsewhere [18, 20]. Using data from these national surveys, multivariate Poisson regression models were undertaken to impute annual gender and age-specific (18–39 years, 40–69 years, ≥70 years) rates of diagnosed diabetes and to assess trends over time. The dependent variable was the number of cases of diagnosed diabetes and the exposure variables were year of data collection and age group. An interaction term between calendar year and age group was considered to explore whether the rates of change over time differed across age groups; a non-significant interaction indicated a common linear trend in prevalence. The predict command was used post analysis to calculate the expected rates of diagnosed diabetes for each calendar year of the study. The gender and age-specific predicted rates were applied to 2004–2015 population data so the absolute number of diabetes cases could be obtained. Annual population estimates were obtained from the Central Statistics Office (CSO), Ireland [21]. A census took place in Ireland in 2002, 2006 and 2011; data for other study years were CSO inter-censal estimates [21]. Prevalence was calculated by dividing the number of expected cases of doctor diagnosis of diabetes by the total study population and was expressed as a percentage with 95 % CI. Prevalence estimates were presented graphically in Excel.

Results

Study selection

Results of the literature search and the selection process are summarised in Fig. 1. One report [22] provided two estimates for diabetes prevalence from two separate studies [16, 17]. In total, 15 studies were eligible for inclusion; eight reporting estimates on diabetes prevalence and seven reporting estimates on complication prevalence. Of the included studies, the methodological quality was considered moderate in nine studies and high in the remaining studies (Additional file 2).

Fig. 1.

Fig. 1

PRISMA flow chart depicting the selection process of articles included in the systematic review

Characteristics of selected studies

Characteristics of studies that reported the prevalence of diabetes or diabetes complications are presented in Tables 1 and 2. In all included studies, data collection were carried out between 1998 and 2011. Studies varied in terms of the study design, setting (national vs. regional), sampling approach and study quality. Of the 8 studies reporting on diabetes prevalence (Table 1), five articles had been published in peer-reviewed journals [11, 2326], while three estimates were reported in two national reports [22, 27]. Of the 7 studies reporting diabetes complications (Table 2), six had been published in peer-reviewed journals [2833], while one audit [34] provided data on the prevalence of diabetes related complications. Five studies utilised an objective data source to ascertain the prevalence of complications [2830, 33, 34]. The diagnostic criteria for complications was unclear in three studies [31, 31, 34] whereas the remaining four used validated diagnostic criteria to identify cases [2830, 33], however these criteria differed between studies reporting on the same complication.

Table 1.

Characteristics of studies reporting the prevalence of diabetes or related complications among adults in the Republic of Ireland, 1998–2011

Author Year of data collection Study design National or regional Setting Population Sampling frame Sampling method Sample size Males (%) Age (years) Study quality (out of 9)
Diabetes prevalence
 Sheily and Kelleher [22] 1998 Cross-sectional National Household General population Electoral register Multistage sample 1632 47.7 ≥55 7
 Creagh et al. [23] 1998 Cross-sectional Regional 17 GP practices Primary Care Patients Practice list Stratified random 1018 48.2 50–69 6
 Census Statistic Office (CSO) [27] 2001 Survey National Household General population Census Total sample 3917203 - ≥18 5
 Sheily and Kelleher [22] 2002 Cross-sectional National Household General population Electoral register Multistage sample 1745 41.7 ≥ 55 7
 Balanda et al. [11] 2007 Cross-sectional National Household General population Geodirectory Multistage probability 10,364 49.5 ≥18 8
 Gallagher et al. [24] 2009-2010 Cross-sectional National Database Patients covered by GMS, LTI, DPS schemes HSE-PCRS pharmacy claims data base Total sample
2009
2010
3493974
3490877
- ≥16 6
 Leahy et al. [25] 2009-2011 Cross-sectional analysis of longitudinal study National Household & designated health centre General population Geodirectory Multi-stage probability 5377 46.5 ≥50 8
 OConnor et al. [26] 2010-2011 Cross-sectional Regional Primary care centre Patients Practice list Random 2047 49.2 50–69 8

Table 2.

Characteristics of studies reporting the prevalence of diabetes or complications among adults in the Republic of Ireland, 1998-2011

Author Year of data collection Study design National or regional Setting Population Sampling frame Sampling method Sample size Males (%) Age (years) Study quality (out of 9)
Complication prevalence
 Kelliher et al. [28] 2003 Cross-sectional National National Council for Blind Ireland (NCBI) All person registered blind NCBI database Total sample 6826 - Adults 8
 Buckley et al. [29] 2009 Cross-sectional National Population People with diabetes Hospital In-Patient Enquiry (HIPE) dataset Total sample 723551 - ≥20 years 9
 Marsden et al. [34] 2008-2009 Audit Regional 20 general practices Patients with T1 & T2 DM registered with diabetes structure care programme Practice patient list Every second person from list 1071 51.9 63 (sd 13) 5
 Hurley et al. [30] 2008-2009 Cross-sectional analysis of longitudinal study Regional General practices with diabetes nurse Patients with T1 & T2 DM Practice diabetes register Researchers selected eligible participants 563 60 64 (sd 13.4) 6
 Farrell & Moran [31] 2010 Cross-sectional Regional 30 general practices T2 DM Diabetes imitative database Stratified sampling 309 - - 5
 Tracey et al. [32] 2009-2011 Cross-sectional analysis of longitudinal study National Household General population Geodirectory Multi-stage probability 8175 53 ≥50 8
 McHugh et al. [33] 2011 Cross-sectional Regional 30 general practices Patients with T1 & T2 DM Practice patient list All persons with T1&T2DM invited 1542 57.3 65 (sd 13) 7

Prevalence of diabetes in included studies

Table 3 reports the prevalence of diabetes by study. Individual and summary estimates, based on a random-effects meta-analysis are illustrated in Fig. 2. There was significant heterogeneity in all groups. Sensitivity analysis only showed lower heterogeneity in combined prevalence rates for undiagnosed and diagnosed diabetes among adults aged over 45 years (I2 ≥ 25 %, p = 0.36); with a pooled prevalence of 9.2 % (95 % CI: 8.6–9.8) (Additional file 3). According to the Egger’s test, there was no evidence of publication bias (p = 0.27).

Table 3.

Prevalence of diabetes among adults in included studies, 1998-2011

Study Year of data collection Response rate (%) Sample size Age Diabetes type Diagnostic criteria Estimate Prevalence % (95 % CI)
Males Females Total
Sheily and Kelleher [22] 1998 62 1632 ≥ 55 years All SRa Diagnosed 6.1 4.3 5.4
Creagh et al. [23] 1998 69.1 1018 50–69 years 2 FPGb Diagnosed
Undiagnosed
Total
Total ≥65 years
-
-
-
13
-
-
-
7
2.8
1.2
3.9 (2.9–5.4)
-
CSO [27] July- Sept. 2001 - 3917203 ≥ 18 years All SR Diagnosed
≥18 years
≥65 years
-
1.7
-
1.4
1.5
4.5
Sheily and Kelleher [22] 2002 53 1745 ≥ 55 years All SR Diagnosed 8.0 5.1 6.4
Balanda et al. [11] 2007 62 10,364 ≥ 18 years All SR or medication use or HbA1cc Diagnosed
18–44 years
45+ years
Total ≥ 18 years
Undiagnosed (≥ 45 years)
Total (diagnosed & undiagnosed ≥ 45 years)
-
6.8 (5.7–7.9)
-
4.0 (1.6–6.3)
10.8 (8.2–13.4)
-
5.4 (4.3–6.6)
-
1.7 (0.3–3.0)
7.1 (5.3–8.9)
0.7 (0.5–0.9)
6.1 (5.5–6.9)
3.5 (3.1–3.9)
2.8 (1.4–4.1)
8.9 (7.3–10.5)
Gallagher et al. [24] 2009
2010
- 3493974
3490877
≥ 18 years 2 At least 1 prescription of diabetes medication Diagnosed
2009
2010
-
-
-
-
2.8
3.1
Leahy et al. [25] 2009–2011 62 5377 ≥ 50 years 2 SR or medication use or HbA1cc Diagnosed
Undiagnosed
Total (diagnosed & undiagnosed)
50–59 years
60–69 years
70–79 years
80+ years
-
-
11.8 (10.3–13.3)*
5.1 (4.0–7.0)
6.0 (5.0–8.0)
12.0 (8.0–14.0)
10.0 (5.0–15.0)
-
-
7.3 (6.0–8.5)*
4.0
14.0 (11.0–16.0)
17.0 (14.0–21.0)
25.0 (15.0–36.0)
8.6 (7.6–9.5)
0.9 (0.6–1.1)
9.5 (8.5–10.4)
5.0 (4.0–6.0)
-
-
16.0 (10.7–21.4)
OConnor et al. [26] 2010-2011 67.9 2047 50–69 years 2 SR or medication use or HbA1cc Diagnosed
Undiagnosed
Total
6.8*
7.1*
11.1*
3.1*
2.7*
6.0*
5.0 (4.1–6.0)
3.5 (2.8–4.4)
8.5 (7.4–8.8)

*p for difference < 0.05

a SR self-reported data; bFasting plasma glucose (American Diabetes Association criteria (ADA, 1997); cHbA1c (ADA, 2010)

Fig. 2.

Fig. 2

Forest plot of individual and summary diabetes prevalence estimates of included studies

Trends in the prevalence of diagnosed diabetes over time

In adults aged 18 years and over, the prevalence of diagnosed diabetes increased from 2.2 % (95 % CI: 1.7 %–2.7 %) in 1998 to 5.2 % (95 % CI: 5.1 %–5.3 %) in 2015 (p trend = <0.001); representing an absolute mean increase of 0.17 % per year. In 2015, the incidence of diagnosed diabetes was 0.2/100 population.

Figure 3 illustrates the age-specific prevalence of self-reported diagnosed diabetes from 1998 to 2015. In adults aged between 18 and 39 years, the prevalence of self-reported doctor diagnosed diabetes remained stable between 1998 and 2015 in both men and women; p trend >0.05. However, there was a significant increase in prevalence among men aged 40 to 69 years between 1998 (3.5 % [95 % CI: 3.4–3.6 %]) and 2015 (6.6 % [95 % CI: 6.5–6.7 %]; p trend <0.001). The prevalence of diabetes also increased among women in the same age group over the same time period (1998–2.5 % [95 % CI: 2.4–2.5 %] to 2015- 4.2 % [95 % CI: 4.1–4.3 %]; p trend <0.001). In those aged 70 years and over, an upward trend in prevalence among both men (1998–8.2 % [95 % CI: 8.0–8.3 %] to 2015- 15.1 % [95 % CI: 14.8–15.2 %]) and women (1998- 4.7 % [95 % CI: 4.5–4.8 %] to 2015- 10.7 % [95 % CI: 10.5–10.8 %]) was also observed; p trend <0.001.

Fig. 3.

Fig. 3

Prevalence of self-reported doctor diagnosed diabetes among adults in RoI, 1998–2015

Prevalence of microvascular and macrovascular complications

Table 4 describes the prevalence of microvascular and macrovascular complications in each included study. Five out of seven studies reported the prevalence of retinopathy [27, 2931, 33]. Among people with type 2 diabetes, a population based study reported the prevalence of diabetic retinopathy to be 8.5 % in 2009–2011 [30]; a regional study, carried out among primary care patients, found a higher prevalence of 24.8 % [31]; however this estimate included patients with type 1 and 2 diabetes and was based on objective data. A similar estimate (25.6 %) was reported in a comparable cohort of primary care patients in a different region [33].

Table 4.

Prevalence of microvascular and macrovascular complications in included studies, 2003–2011

Author Year of study Response rate (%) Sample size Age Diabetes type Time since diabetes diagnosis Data source Diagnostic method Type of complication Prevalence (%) Total
Kelliher et al. [28] 2003 - 6826 Adults All - National blind registry Visual acuity of <6/60 in better eye/visual field subtending angle of 20°/< less Blindness due to diabetic retinopathy 4.7
Buckley et al. [29] 2009 - 723,551 ≥20 years All - Hospital discharge data ICD-10 codes Non-traumatic lower leg amputation 0.2
Marsden et al. [34] Nov 2008-March 2009 72 1071 63 years (sd 13) T1: 7.5 %
T2: 92.3 %
15 years Electronic & paper clinical notes & referral letters -
Risk classification score
ACR 2.5–25
ACR >25
-
-
-
-
Diabetic retinopathy
Foot ulcer
Microalbuminuria
Proteinuria
Myocardial Infarction
Heart Failure
Transient Ischemic Attack
Stroke
Total macrovascular
24.8
2.5
32.1
6.0
0.4
0.3
1.5
0.5
3.5
Hurley et al. [30] Feb 2008- Sept 2009 68 563 64 years (sd 13.4) T1: 10 %
T2: 90 %
7.7 (8.2) years Clinical foot examination & practice medical records Scottish Intercollegiate Guidelines Network risk stratification
system & previous doctor diagnosis
Documented diabetic neuropathy
Foot ulceration
Past amputation
Neuropathy symptoms at examination
3.0
3.7
1.7
32
Farrell & Moran [31] 2010 - 309 - T2 - Chart review - Diabetic retinopathy
Neuropathy
Peripheral vascular disease
Chronic kidney disease
Cerebrovascular disease
6.5
12.3
12.9
5.5
5.2
Tracey et al. [32] 2009–2011 62 655 ≥50 years T2 5 (IQR 3–10) years SR previous doctor diagnosis - Diabetic retinopathy
Neuropathy
Leg ulcer
Nephropathy
Proteinuria
Total macrovascular
8.2 (6.2–10.9)
14.6 (11.4–18.2)
4.2 (2.8–6.4)
5.1 (3.4–7.6)
6.1 (4.3–8.6)
15.1 (12.2–18.4)
McHugh et al. [33] 2011 GP = 94 %; Screening uptake = 43 % 1542 65 years (sd 13) T1: 4.9 %
T2: 85.6 %
- Eye examination & clinical records Fundus 45° digital PASA-approved camera Background (R1)
Pre proliferative (R2)
Proliferative (R3)
Any diabetic retinopathy
21.5 (19.5–23.6)
3.4 (2.6–4.5)
0.7 (0.4–1.3)
25.6 (23.5–27.9)

In terms of diabetes-related neuropathy, a divergence in the reported prevalence between studies was also observed. Data from 12 primary care centres in the West of Ireland indicated a prevalence of past documented neuropathy to be 3 % [30]. On the other hand, a population-based study reported a prevalence of 14.6 % [32]. These patients had similar average duration since diagnosis (7.8 years [30] vs. 5.0 years [32]); however, the latter estimate was based on self-reported data. Prevalence rates for leg amputations were 1.7 % among primary care patients with diabetes [30]. In contrast, the prevalence of non-traumatic lower leg amputation was lower (0.2 %) in a population-based study which utilised national hospital discharge data [29].

With reference to nephropathy, prevalence among those with type 2 diabetes was similar in two studies [31, 32]. In the three studies presenting data on macrovascular complications, a marked difference in prevalence was observed. A primary care audit reported a prevalence of 3.5 % in patients with type 1 and 2 diabetes [34]. In contrast, among those with type 2 diabetes, a population based study reported a higher prevalence of 15.1 % [32].

Discussion

This systematic review is the first study to compile all available evidence reporting the prevalence of diabetes (diagnosed and undiagnosed) and related complications (microvascular and macrovascular) among adults in Ireland between 1998 and 2015. Fifteen studies (eight describing diabetes prevalence and seven describing complication prevalence) were included.

Similar to other systematic reviews [3537]; comparability between studies was limited due to differences in study population, sampling methods and diagnostic criteria. Additionally, substantial statistical heterogeneity was detected between studies reporting the prevalence of diabetes; therefore our pooled estimates have to be interpreted with caution. Sensitivity analysis, based on study quality, lowered the heterogeneity of combined prevalence rates for undiagnosed and diagnosed diabetes among adults aged over 45 years. However, this may reflect variability between prevalence estimates rather than study quality. Trends in diabetes prevalence could not be explored by meta-analysis, therefore, original data from four population-based national studies [1619] were obtained to explore time trends in doctor diagnosed diabetes prevalence between 1998 and 2015. Over a seventeen year period, we observed an important increase in the national prevalence of self-reported diagnosed diabetes in Ireland.

Consistent with previous research [3840] trends in the prevalence of self-reported diagnosed diabetes remained constant in adults aged 18 to 39 years, while an increasing prevalence was observed in the older age groups. We were unable to distinguish between the various types of diabetes in this review; however it can be assumed that type 2 diabetes is driving the increase in prevalence as it accounts for 90 % of all diabetes cases [1, 2]. The prevalence of diabetes was consistently higher in males compared to females. Evidence suggests that men are at a higher risk of developing type 2 diabetes as they develop diabetes at a lower BMI, are more predisposed to central fat deposition and are more prone to insulin resistance [41]. Therefore, men are more likely to develop type 2 diabetes in response to increasing levels of obesity [42]. On the other hand, the higher prevalence in the male population may reflect preferences in diagnostic methods. Evidence has highlighted that the prevalence of FPG diagnosed diabetes is higher among men, whereas women are more commonly diagnosed by a 2-h plasma glucose test [43]. While it is not possible to determine the method of diabetes diagnosis in this review; it is important to consider how these gender differences may influence diagnosed diabetes prevalence estimates over time.

Similar to diagnosed diabetes, trends in the prevalence of undiagnosed diabetes could not be explored by meta-analysis as only two nationally representative studies had relevant data [11, 25]. The prevalence of undiagnosed diabetes, based on HbA1c, decreased from 2.8 % in 2007 to 0.9 % in 2009–2011 among adults aged ≥45 years and ≥50 years, respectively. While the prevalence of diagnosed diabetes increased from 6.1 % in 2007 [11] to 8.6 % in 2009–2011 [25]. This shift from undiagnosed to diagnosed diabetes prevalence has also been observed in a study carried out in Germany [10]. This decrease in undiagnosed diabetes prevalence may be attributable to earlier detection of diabetes [10]. In Ireland, screening high risk patients for type 2 diabetes has been encouraged since the introduction of national guidelines for diabetes-care in 2002 [44]. Another study based on 29144 adults aged 45–75 years with private health insurance, reported the prevalence of undiagnosed diabetes to be 1.8 % in 2009–2012 [45]. However this estimate was derived from FPG; evidence suggests that the use of HbA1c may underestimate diabetes prevalence compared with estimates using FPG [38, 43, 46].

The prevalence of diabetes complications varied substantially between studies therefore comparisons between studies have to be interpreted with caution. These variations may be attributable to differences in disease duration or study population (type 1 and type 2 diabetes vs. type 2 diabetes), study setting (primary care vs. population-based) or heterogeneity in the criteria used to diagnose macrovascular and microvascular complications. Objective data describing the national prevalence of diabetic retinopathy was not available however, regional data on diabetic retinopathy showed that approximately 25 % of primary care patients with type 1 and type 2 diabetes had been diagnosed with this condition [33, 34]. This estimate is higher than a previous hospital-based study based on patients with type 2 diabetes (14.8 %) [47] and primary care data from the UK (19.6 %) [48] but lower than global prevalence estimates (34.6 %) [49]. Though, caution has to be applied when interpreting the results as both regional studies included in this review reported a low uptake rate of retinopathy screening at approximately 50 % [33, 34]. Additionally, characteristics between attenders and non-attenders were not compared in either study; hence it is possible that there were systematic differences between the two groups. Healthier people are more likely to participate in research; therefore the prevalence of diabetic retinopathy may have been underestimated. As a national screening programme for diabetic retinopathy was introduced in 2013 [50], future estimates based on this national programme may be more reliable.

Limitations

The strengths and limitations of this systematic review should be noted. Both peer-reviewed articles and estimates detailed in the grey literature were included to limit the impact of publication bias. Original data from four national studies were obtained so trends in diagnosed diabetes prevalence could be examined over a 17 year period. Although response rates were below the optimal rate of 70 %, the representativeness of each study has been demonstrated previously [18, 51], so it can be assumed that the results presented can be generalised to the Irish population.

However, several limitations need to be acknowledged. Firstly, studies included in this review were of moderate to high quality; however, six of the included studies relied on self-reporting to determine the prevalence of diagnosed diabetes and one study relied on self-reporting to determine the prevalence of diabetes related complications. This approach is prone to misclassification bias which can result in an inaccurate estimation of prevalence [52]. When compared to medical records, data from self-report have been shown to underestimate the prevalence of diabetic retinopathy [53]. However, moderate to high levels of agreement between diabetes prevalence and self-report have been shown in several studies [5456]. Although only data on self-reported diabetes were available, results from trend analysis are in line with other developed countries. Secondly, without the inclusion of undiagnosed diabetes in our trend analysis, we acknowledge that diabetes prevalence is underestimated. Finally, significant increases in diagnosed diabetes prevalence were observed over time but these increases may be attributed to heightened awareness among patients, changes in clinical practices, including increased screening for type 2 diabetes, and better survival rates for patients with diabetes [57]. However, there is a lack of data on mortality rates among people with diabetes in Ireland; therefore it is not possible to determine whether our increasing trends in prevalence are due to improved health outcomes in those with diabetes.

Conclusion

This review provides the first comprehensive overview of the burden of diabetes in Ireland. In the absence of a national diabetes register, the findings in this review provide a robust estimate of the trends in prevalence of doctor diagnosed diabetes among the adult population in Ireland. Findings from this review are in accordance with the Euro Diabetes Index (2014) [12]; there is a lack of information relating to the prevalence of undiagnosed diabetes, macrovascular and microvascular complications. Interpretation of available data was limited due to inconsistencies in reporting, limited availability of objective data and standardisation in diagnostic criteria. We suggest that the true burden of diabetes in Ireland is underestimated [58]. In 2010, the National Clinical Programme in Diabetes was established to improve and standardise patient care in Ireland [59]. Reliable baseline data are needed to monitor improvements in care over time at a national level. Therefore, we suggest that a comprehensive national diabetes register is urgently needed in Ireland.

Additional files

Additional file 1: (11.8KB, docx)

Electronic search strategies for articles. (DOCX 11 kb)

Additional file 2: (25.4KB, docx)

Critical appraisal checklist for studies reporting prevalence data. (DOCX 25 kb)

Additional file 3: (16.9KB, docx)

Sensitivity analysis based on high quality studies. (DOCX 16 kb)

Acknowledgements

Marsha Tracey and Professor Patricia Kearney are funded by the Health Research Board Leadership Award in Diabetes (RL/2013/7). Dr. Sheena Mc Hugh is funded by the Centre for Ageing and Development Research in Ireland (CARDI) Leadership Fellowship. MLT would like to thank Professor John Browne, University College Cork for advice on methodology.

Footnotes

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-016-2818-2) contains supplementary material, which is available to authorized users.

Competing interest

The authors declare that they have no competing interests.

Authors’ contributions

MLT, MG, PMK, APF conceived and designed the study. MLT, MG, KON researched data. MLT analysed the data. MLT wrote the manuscript. PMK, SMMc, CMB, APF, RJC, KON, APF reviewed the manuscript. MLT edited the manuscript. MLT, MG, KON, PMK, SMMc, CMB, APF, RJC approved final manuscript.

References

  • 1.Zimmet P, Alberti KG, Shaw J. Global and societal implications of the diabetes epidemic. Nature. 2001;414:782–7. doi: 10.1038/414782a. [DOI] [PubMed] [Google Scholar]
  • 2.International Diabetes Federation. IDF Diabetes Atlas, 6th edn. International Diabetes Federation. Brussels, Belgium: 2013.
  • 3.Danaei G, Finucane MM, Lu Y, Singh GM, Cowan MJ, Paciorek CJ, et al. National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2 · 7 million participants. Lancet. 2011;378:31–40. doi: 10.1016/S0140-6736(11)60679-X. [DOI] [PubMed] [Google Scholar]
  • 4.Kearns K, Dee A, Fitzgerald A, Doherty E, Perry IJ. Chronic disease burden associated with overweight and obesity in Ireland: the effects of a small BMI reduction at population level. BMC Public Health. 2014;14:143. doi: 10.1186/1471-2458-14-143. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.International Diabetes Federation. Diabetes Atlas, 2000, 1st edn. International Diabetes Federation. Brussels, Belgium: 2000.
  • 6.Venkat Narayan KM, Greg EW, Fagot-Campagna A, Engelgau MM, Vinicor F. Diabetes- a common, growing, serious, costly and potentially preventable public health problem. Diabetes Res Clin Pract. 2000;50:S77-S84.  [DOI] [PubMed]
  • 7.Garcia MJ, McNamara PM, Gordon T, Kannell WB. Morbidity and mortality in diabetics in the framingham population: Sixteen year follow-up study. Diabetes. 1974;23:105–11. doi: 10.2337/diab.23.2.105. [DOI] [PubMed] [Google Scholar]
  • 8.Roper NA, Bilous RW, Kelly WF, Unwin NC, Connolly VM. Cause-specific mortality in a population with diabetes: South Tees Diabetes Mortality Study. Diabetes Care. 2002;25:43–8. doi: 10.2337/diacare.25.1.43. [DOI] [PubMed] [Google Scholar]
  • 9.Tamayo T, Rosenbauer J, Wild SH, Spijkerman AM, Baan C, Forouhi NG, et al. Diabetes in Europe: an update. Diabetes Res Clin Pract. 2014;103:206–17. doi: 10.1016/j.diabres.2013.11.007. [DOI] [PubMed] [Google Scholar]
  • 10.Heidemann C, Du Y, Paprott R, Haftenberger M, Rathmann W, Scheidt-Nave C. Temporal changes in the prevalence of diagnosed diabetes, undiagnosed diabetes and prediabetes: findings from the German health interview and examination surveys in 1997–1999 and 2008–2011. Diabetic Med. 2015 doi: 10.1111/dme.13008. [DOI] [PubMed] [Google Scholar]
  • 11.Balanda KP, Buckley CM, Barron SJ, Fahy LE, Madden JM, Harrington JM, et al. Prevalence of diabetes in the Republic of Ireland: Results from the National Health Survey (SLAN) 2007. PLoS One. 2013;8:e78406. doi: 10.1371/journal.pone.0078406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Garrofé B, Björnberg A, Yung Phang A. Euro diabetes index 2014. http://www.healthpowerhouse.com/files/EDI-2014/EDI-2014-report.pdf. Accessed 21 Oct 2014.
  • 13.Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151:264–9. doi: 10.7326/0003-4819-151-4-200908180-00135. [DOI] [PubMed] [Google Scholar]
  • 14.Munn Z, Moola S, Riitano D, Lisy K. The development of a critical appraisal tool for use in systematic reviews addressing questions of prevalence. Int J Health Policy Manag. 2014;3:123–8. doi: 10.15171/ijhpm.2014.71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177–88. doi: 10.1016/0197-2456(86)90046-2. [DOI] [PubMed] [Google Scholar]
  • 16.Department of Health and Children . Survey on Lifestyle and Attitude to Nutrition (SLÁN) Galway: NUIG, Centre for Health Promotion Studies; 1998. [Google Scholar]
  • 17.Department of Health and Children . Survey on Lifestyle and Attitude to Nutrition (SLÁN) Galway: NUIG, Centre for Health promotion Studies; 2002. [Google Scholar]
  • 18.Morgan K, McGee H, Watson D, Perry IJ, Barry M, Shelley E, et al. SLAN 2007: survey of lifestyle, attitudes & nutrition in Ireland: main report. Dublin: Department of Health and Children. http://epubs.rcsi.ie/cgi/viewcontent.cgi?article=1002&context=psycholrep. Accessed 10 January 2015. 
  • 19.Kearney PM, Cronin H, O’Regan C, Kamiya Y, Savva GM, Whelan B, et al. Cohort profile: The Irish longitudinal study on ageing. Int J Epidemiol. 2011;40:877–84. doi: 10.1093/ije/dyr116. [DOI] [PubMed] [Google Scholar]
  • 20.Kenny R, Whelan B, Cronin H, Kamiya Y, Kearney P, O’Regan C, et al. The design of the Irish longitudinal study on ageing. Dublin: Trinity College Dublin; 2010. [Google Scholar]
  • 21.Census of Population Interactive Tables, 2014. http://www.cso.ie/px/pxeirestat/Database/eirestat/Annual%20Population%20Estimates/Annual%20Population%20Estimates_statbank.asp?SP=Annual%20Population%20Estimates&Planguage=0. Accessed 2 March 2015.
  • 22.Shiely F, Kelleher C. Older people in Ireland: A profile of health status, lifestyle and socio-economic factors from SLÁN: National Council on Ageing and Older People Dublin; 2004.
  • 23.Creagh D, Neilson S, Collins A, Colwell N, Hinchion R, Drew C, et al. Established cardiovascular disease and CVD risk factors in a primary care population of middle-aged Irish men and women. Ir Med J. 2002;95:298–301. [PubMed] [Google Scholar]
  • 24.Gallagher N, Bennett K, Smith SM, O’Reilly D. Impact of two different health systems on the burden of type 2 diabetes. J Health Serv Res Policy. 2014;19:69–76. doi: 10.1177/1355819613502012. [DOI] [PubMed] [Google Scholar]
  • 25.Leahy S, O’Halloran A, O’Leary N, Healy M, McCormack M, Kenny R, et al. Prevalence and correlates of diagnosed and undiagnosed type 2 diabetes mellitus and pre-diabetes in older adults: Findings from the Irish Longitudinal Study on Ageing (TILDA) Diabetes Res Clin Prac. 2015;110(3):241–9. doi: 10.1016/j.diabres.2015.10.015. [DOI] [PubMed] [Google Scholar]
  • 26.OConnor JM, Millar SR, Buckley CM, Kearney PM, Perry IJ. The prevalence and determinants of undiagnosed and diagnosed type 2 diabetes in middle-aged irish adults. PLoS One. 2013;8(11):e80504. doi: 10.1371/journal.pone.0080504. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Central Statistics Office. Quarterly National Household Survey, 2001. Module on Health, Quarter 3. 2001. http://www.cso.ie/en/media/csoie/releasespublications/documents/labourmarket/2001/qnhs_healthqtr32001.pdf. Accessed 14 March 2014.
  • 28.Kelliher C, Kenny D, O’Brien C. Trends in blind registration in the adult population of the Republic of Ireland 1996-2003. Br J Ophthalmol. 2006;90:367–71. doi: 10.1136/bjo.2005.075861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Buckley CM, O’Farrell A, Canavan RJ, Lynch AD, De La Harpe DV, Bradley CP, et al. Trends in the incidence of lower extremity amputations in people with and without diabetes over a five-year period in the Republic of Ireland. PLoS One. 2012;7:e41492. [DOI] [PMC free article] [PubMed]
  • 30.Hurley L, Kelly L, Garrow AP, Glynn LG, McIntosh C, Alvarez-Iglesias A, et al. A prospective study of risk factors for foot ulceration: The West of Ireland Diabetes Foot Study. QJM. 2013;106:1103–10. doi: 10.1093/qjmed/hct182. [DOI] [PubMed] [Google Scholar]
  • 31.Farrell C, Moran J. Comparison of comorbidities in patients with pre-diabetes to those with diabetes mellitus type 2. Ir Med J. 2014;107:72–4. [PubMed] [Google Scholar]
  • 32.Tracey ML, McHugh SM, Buckley CM, Canavan RJ, Fitzgerald AP, Kearney PM. The prevalence of Type 2 diabetes and related complications in a nationally representative sample of adults aged 50 and over in the Republic of Ireland. Diabet Med. 2015 doi: 10.1111/dme.12845. [DOI] [PubMed] [Google Scholar]
  • 33.McHugh SM, Buckley CM, Murphy K, Doherty S, O’Keeffe G, Alade J, et al. Quality-assured screening for diabetic retinopathy delivered in primary care in Ireland: an observational study. Br J Gen Pract. 2013;63:e134–40. doi: 10.3399/bjgp13X663091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Marsden P, Brennan C, McHugh SM, Harkins V. Audit Report of the HSE Midland Diabetes StructuredCare Programme. Department of Public Health. Health Service Executive Dublin Mid-Leinster. 2010.
  • 35.Pereira M, Carreira H, Lunet N, Azevedo A. Trends in prevalence of diabetes mellitus and mean fasting glucose in Portugal (1987-2009): a systematic review. Public Health. 2014;128:214–21. doi: 10.1016/j.puhe.2013.12.009. [DOI] [PubMed] [Google Scholar]
  • 36.Bos M, Agyemang C. Prevalence and complications of diabetes mellitus in Northern Africa, a systematic review. BMC Public Health. 2013;13:387. doi: 10.1186/1471-2458-13-387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Hall V, Thomsen RW, Henriksen O, Lohse N. Diabetes in Sub Saharan Africa 1999-2011: epidemiology and public health implications. A systematic review. BMC Public Health. 2011;11:564. doi: 10.1186/1471-2458-11-564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Hamer M, Kengne AP, Batty GD, Cooke D, Stamatakis E. Temporal trends in diabetes prevalence and key diabetes risk factors in Scotland, 2003-2008. Diabet Med. 2011;28:595–8. doi: 10.1111/j.1464-5491.2011.03254.x. [DOI] [PubMed] [Google Scholar]
  • 39.Lipscombe LL, Hux JE. Trends in diabetes prevalence, incidence, and mortality in Ontario, Canada 1995-2005: a population-based study. Lancet. 2007;369:750–6. doi: 10.1016/S0140-6736(07)60361-4. [DOI] [PubMed] [Google Scholar]
  • 40.Bonaldi C, Vernay M, Roudier C, Salanave B, Oleko A, Malon A, et al. A first national prevalence estimate of diagnosed and undiagnosed diabetes in France in 18- to 74-year-old individuals: the French Nutrition and Health Survey 2006/2007. Diabet Med. 2011;28:583–9. doi: 10.1111/j.1464-5491.2011.03250.x. [DOI] [PubMed] [Google Scholar]
  • 41.Sarwar N, Gao P, Seshasai SR, Gobin R, Kaptoge S, Di Angelantonio E, et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet. 2010;375:2215–22. doi: 10.1016/S0140-6736(10)60484-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Sattar N. Gender aspects in type 2 diabetes mellitus and cardiometabolic risk. Best Pract Res Clin Endocrinol Metab. 2013;27:501–7. doi: 10.1016/j.beem.2013.05.006. [DOI] [PubMed] [Google Scholar]
  • 43.Cowie CC, Rust KF, Byrd-Holt DD, Gregg EW, Ford ES, Geiss LS, et al. Prevalence of diabetes and high risk for diabetes using A1C criteria in the U.S. population in 1988-2006. Diabetes Care. 2010;33:562–8. doi: 10.2337/dc09-1524. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Clarke A. Diabetes care: Securing the future. Action plan for implementation of the St. Vincent declaration. Dublin: Diabetes Service Development Group; 2002. [Google Scholar]
  • 45.Sinnott M, Kinsley BT, Jackson AD, Walsh C, O’Grady T, Nolan JJ, et al. Fasting plasma glucose as initial screening for diabetes and prediabetes in Irish adults: The Diabetes Mellitus and Vascular Health Initiative (DMVhi) PLoS One. 2015;10:e0122704. doi: 10.1371/journal.pone.0122704. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Juarez DT, Demaris KM, Goo R, Mnatzaganian CL, Wong Smith H. Significance of HbA(1c) and its measurement in the diagnosis of diabetes mellitus: US experience. Diabetes Metab Syndr Obes. 2014;7:487-494. [DOI] [PMC free article] [PubMed]
  • 47.Nolan JJ, O’Halloran D, McKenna TJ, Firth R, Redmond S. The cost of treating type 2 diabetes (CODEIRE) Ir Med J. 2006;99:307–10. [PubMed] [Google Scholar]
  • 48.Ruta LM, Magliano DJ, Lemesurier R, Taylor HR, Zimmet PZ, Shaw JE. Prevalence of diabetic retinopathy in Type 2 diabetes in developing and developed countries. Diabet Med. 2013;30:387–98. doi: 10.1111/dme.12119. [DOI] [PubMed] [Google Scholar]
  • 49.Yau JW, Rogers SL, Kawasaki R, Lamoureux EL, Kowalski JW, Bek T, et al. Global prevalence and major risk factors of diabetic retinopathy. Diabetes Care. 2012;35:556–64. doi: 10.2337/dc11-1909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Diabetic RetinaScreen. The National Diabetic Retinal Screen Programme. 2015. http://www.diabeticretinascreen.ie/. Accessed 12 Nov 2014.
  • 51.Savva GM. In fifty plus in Ireland 2011: First results from the Irish longitudinal study on ageing. Dublin: Trinity College Dublin; 2011. [Google Scholar]
  • 52.Critchfield T, Tucker J, Vuchinich R. Self-report methods. In: Lattal K, Perone M, editors. Handbook of research methods in human operant behavior. US: Springer; 1998. pp. 435–70. [Google Scholar]
  • 53.MacLennan PA, McGwin G, Jr, Searcey K, Owsley C. Medical record validation of self-reported eye diseases and eye care utilization among older adults. Curr Eye Res. 2013;38:1–8. doi: 10.3109/02713683.2012.733054. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Comino EJ, Tran DT, Haas M, Flack J, Jalaludin B, Jorm L, et al. Validating self-report of diabetes use by participants in the 45 and Up Study: a record linkage study. BMC Health Serv Res. 2013;13:481. doi: 10.1186/1472-6963-13-481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Okura Y, Urban LH, Mahoney DW, Jacobsen SJ, Rodeheffer RJ. Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. J Clin Epidemiol. 2004;57:1096–103. doi: 10.1016/j.jclinepi.2004.04.005. [DOI] [PubMed] [Google Scholar]
  • 56.Galenkamp H, Huisman M, Braam AW, Schellevis FG, Deeg DJ. Disease prevalence based on older people’s self-reports increased, but patient-general practitioner agreement remained stable, 1992-2009. J Clin Epidemiol. 2014;67:773–80. doi: 10.1016/j.jclinepi.2014.02.002. [DOI] [PubMed] [Google Scholar]
  • 57.Maruthur NM. The growing prevalence of type 2 diabetes: increased incidence or improved survival? Curr Diab Rep. 2013;13:786–94. doi: 10.1007/s11892-013-0426-4. [DOI] [PubMed] [Google Scholar]
  • 58.Kanavos P, van den Aardweg S, Schurer W. Diabetes expenditure, burden of disease and management in 5 EU countries. LSE Health and Social Care. 2012. http://www.lse.ac.uk/lsehealthandsocialcare/research/lsehealth/mtrg/lsediabetesreport26jan2012.pdf. Accessed 3 Nov 2014.
  • 59.Health Service Executive. National Clinical Programme for Diabetes. 2010 http://www.hse.ie/eng/about/Who/clinical/natclinprog/diabetesprogramme/. Accessed 29 Aug 2014

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1: (11.8KB, docx)

Electronic search strategies for articles. (DOCX 11 kb)

Additional file 2: (25.4KB, docx)

Critical appraisal checklist for studies reporting prevalence data. (DOCX 25 kb)

Additional file 3: (16.9KB, docx)

Sensitivity analysis based on high quality studies. (DOCX 16 kb)


Articles from BMC Public Health are provided here courtesy of BMC

RESOURCES