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Erschienen in: Cardiovascular Diabetology 1/2012

Open Access 01.12.2012 | Original investigation

Gender disparities in diabetes and coronary heart disease medication among patients with type 2 diabetes: results from the DIANA study

verfasst von: Heike U Krämer, Elke Raum, Gernot Rüter, Ben Schöttker, Dietrich Rothenbacher, Thomas Rosemann, Joachim Szecsenyi, Hermann Brenner

Erschienen in: Cardiovascular Diabetology | Ausgabe 1/2012

Abstract

Background

Coronary heart disease (CHD) is one of the most common long-term complications in people with type 2 diabetes. We analyzed whether or not gender differences exist in diabetes and CHD medication among people with type 2 diabetes.

Methods

The study was based on data from the baseline examination of the DIANA study, a prospective cohort study of 1,146 patients with type 2 diabetes conducted in South-West Germany. Information on diabetes and CHD medication was obtained from the physician questionnaires. Bivariate and multivariate analyses using logistic regression were employed in order to assess associations between gender and prescribed drug classes.

Results

In total, 624 men and 522 women with type 2 diabetes with a mean age of 67.2 and 69.7 years, respectively, were included in this analysis. Compared to women, men had more angiopathic risk factors, including smoking, alcohol consumption and worse glycemic control, and had more often a diagnosed CHD. Bivariate analyses showed higher prescription of thiazolidinediones and oral combination drugs as well as of angiotensin-converting enzyme (ACE) inhibitors, calcium channel blockers and aspirin in men than in women. After full adjustment, differences between men and women remained significant only for ACE inhibitors (OR = 1.44; 95%-confidence interval (CI): 1.11 – 1.88) and calcium channel blockers (OR = 1.42, 95%-CI: 1.05 – 1.91).

Conclusions

These findings contribute to current discussions on gender differences in diabetes care. Men with diabetes are significantly more likely to receive oral combination drugs, ACE inhibitors and calcium channel blockers in the presence of coronary heart disease, respectively. Our results suggest, that diabetic men might be more thoroughly treated compared to women. Further research is needed to focus on reasons for these differences mainly in treatment of cardiovascular diseases to improve quality of care.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1475-2840-11-88) contains supplementary material, which is available to authorized users.
Heike U Krämer, Elke Raum contributed equally to this work.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

HUK conducted the statistical analysis and HUK and ER drafted the manuscript. ER, GR, DR, TR, JS and HB designed the study, supervised its implementation and field activities. All contributing authors were revising the manuscript critically for important intellectual content. All authors have read and approved the final version of the manuscript.

Background

Type 2 diabetes mellitus (T2DM) is a major public health concern. It induces macro- and microvascular damage promoting long-term complications, like coronary heart disease (CHD), stroke or diabetic nephropathy, and is associated with significant morbidity and mortality [1, 2]. The risk of CHD and stroke is altered by age, gender, insulin and glycemic control in patients with diabetes mellitus [3], but gender-specific differences in the prevalence of cardiovascular diseases (CVD) might also decrease with rising age, especially in older women with diabetes compared to men of the same age [4].
Diabetes and CVD treatment is complex: besides the different applicable agents, disease status, comorbidities, self-management capabilities and individual compliance of patients have to be considered by the treating physicians [5, 6]. Diabetes treatment is generally intensified if CVD risk factors or comorbidities, such as hypertension, hypercholesterolemia or CHD, are present and vice versa [7, 8].
However, there is evidence that women tend to receive a less adequate therapeutic management than men [9, 10]. Until now, it is still unclear to what extent these gender differences can be explained by confounding factors, such as age, diabetes duration, adherence, prevalent depression or marital status [1, 11].
We aimed to analyze whether or not gender disparities exist in diabetes and CHD medication after controlling for the most important confounding factors in an outpatient population of diabetic patients in Germany.

Methods

Study design and study population

This analysis is based on data from the baseline examination of the DIANA study (Type 2 Diabetes Mellitus: New Approaches to Optimize Medical Care in General Practice). DIANA is an epidemiological prospective cohort study with patients with T2DM conducted in the Ludwigsburg-Heilbronn area located in South-West Germany. The study was initiated in 2008 to address (short- and long-term) diabetes-related outcomes and to evaluate potentials for health care improvements in people with T2DM. People with a physician diagnosed T2DM aged 18 and older were recruited consecutively according to a standardized protocol by 38 general practitioners (GP) during regular practice visits between October 2008 and March 2010. The study protocol was approved by the Ethics Committees of the medical faculty of the University of Heidelberg and of the Chamber of Physicians of Baden-Württemberg.

Data collection

Participating patients completed a self-administered standardized questionnaire at baseline. Information related to diabetes and other medical conditions was reported by the attending physician through a standardized questionnaire. GPs reported all diabetes-relevant physician-diagnosed comorbidities (‘yes’/ ‘no’) and submitted a complete list of all medications currently prescribed. Diabetes medication and CHD medication were classified according to the Anatomic Therapeutic Chemical (ATC) classification system (for more detailed information on classification see Additional file 1).
A blood sample was collected by the GP at time of recruitment and glycated haemoglobin A1c (HbA1c) was assessed by a central laboratory, using ion exchange high pressure liquid chromatography (HPLC) (G8, Tosoh Biosciences).

Definition of key variables

For the following variables information from the GP questionnaire was used and they were defined accordingly: body mass index (BMI) in kg/m², most recent high density lipoprotein level (HDL) in mg/dl and blood pressure (systolic/ diastolic) in mmHg, duration of diabetes and participation in a disease management program for T2DM (DMP-DM). CHD was defined as prevalent CHD or past myocardial infarction. Antidiabetic drugs were differentiated in biguanide, sulfonylurea, alpha-glucosidase inhibitor, thiazolidinedione, glinide, glucagon-like peptide-I (GLP-I) analogue exenatide, dipeptidyl peptidase-4 (DPP-4) inhibitor, oral combination drug (counted as one drug) and insulin treatment in general. Insulins were further specified in short acting human insulin, intermediate acting insulin (basal insulin), (human) insulin combination (short and intermediate acting) and insulin analogue. CHD medication was differentiated in antihypertensive drug, i.e. angiotensin-converting enzyme (ACE) inhibitor, diuretic, beta-blocker, calcium channel blocker and other hypertensive drug, such as angiotensin II receptor blocker, lipid lowering medication and aspirin (see Additional file 1).
The following information was obtained form the participant questionnaires: age at time of recruitment, gender, level of school education, marital status, occupational status, smoking history and alcohol consumption as well as number of appointments with the GP. Information on participants’ self-estimated adherence to all prescribed medications was obtained by the 4-item self-report Morisky medication adherence questionnaire developed [12]. The sum score was calculated ranging from 0 (full adherence) to 4 (poor adherence). Patients were grouped as having a good (zero points), moderate (1 to 2 points) or poor adherence (3 to 4 points). The general health status was evaluated by the first question of the short-form-12 (SF-12) questionnaire [13].
Classification of glycemic control level was based on baseline HbA1c, defining ≤ 6.4% as good, 6.5% - 7.4% as moderate and ≥7.5% as poor [14].

Statistical analysis

When information from the GPs’ was not available (only 3.8% of the participants), information from the participants’ questionnaires was used to minimize missing values, since we found very good agreement of both sources for participants for whom the information of both questionnaires was available (kappa coefficients for medications: >0.90 and for comorbidities: >0.80).
Descriptive statistics included 2-tailed t-tests for means and χ²-tests for proportions comparing differences between men and women. Analyzed covariates were socio-demographic characteristics, glycemic control, smoking status, alcohol consumption, diabetes duration, participation in a DMP-DM and comorbidities. Analyses on prescribed diabetes medication were stratified for gender and differentiated between the presence and absence CHD. Analyses on prescribed CHD medication were stratified for gender and restricted to participants with prevalent CHD. Logistic regression was employed to estimate unadjusted and adjusted odds ratios (ORs) and corresponding 95% confidence intervals (95%-CIs) for describing the association between gender and use of diabetes or CHD medication. In order to adjust for the main independent determinants, variables for multivariate logistic regression models were selected by backward selection separately for each medication group (diabetes and CHD medications). Variables with a p-value < 0.1 were kept in the model to limit potential confounding. Statistical testing was two-sided, an alpha level of 5% was applied, and SAS 9.2 (SAS Institute, Cary, N.C., USA) was used throughout.

Results

Overall, 624 men (54.4%) and 522 women (45.6%) participated in this study (Table 1). On average, men were younger than women. Gender-specific differences also were found for other socio-demographic factors: women had a lower educational level, were more often singles and less often still employed. Smoking and alcohol consumption was far more prevalent in men than in women. Tentatively, more men than women showed a HbA1c ≥ 7.5%. Men had significantly lower mean HDL levels than women. No gender differences were found for mean systolic or diastolic blood pressure. The number of GP appointments did not differ significantly between women and men. Self-reported medication adherence and self-rated general health status were similar between women and men. Men had significantly more often physician-diagnosed CVD and diabetes-related comorbidities, including CHD, intermittent claudication, stroke and diabetic nephropathy, whereas women had significantly more often a diagnosed depression.
Table 1
Description of the study population
 
Men
Women
p-value
 
(n = 624)
(n = 522)
 
Variables of interest
n
%
n
%
 
Age in years (mean, SD*)
67.2 (10.1)
69.7 (10.5)
 
Age in years
     
 ≤59
137
22.0
84
16.1
 
 60 - 69
193
30.9
129
24.7
 
 70 - 79
239
38.3
231
44.3
 
 ≥80
55
8.8
78
14.9
0.0001
Years of school education
     
 ≤9
433
70.9
395
76.9
 
 10 - 12
104
17.0
94
18.2
 
 ≥13
74
12.1
25
4.9
0.0001
Marital status
     
 Single/ widowed/ divorced
112
18.1
209
40.2
 
 Married
508
81.9
311
59.8
<0.0001
Occupational status
     
 Employed
158
26.5
78
15.7
 
 Retired
403
67.5
318
63.9
 
 Housewife
0
0
80
16.1
 
 Other
36
6.0
22
4.4
<0.0001
Smoking history
     
 Never
174
28.0
375
72.0
 
 Ex-smoker
355
57.2
100
19.2
 
 Current smoker
92
14.8
46
8.8
<0.0001
Alcohol consumption
     
 Abstainer
139
22.3
283
54.2
<0.0001
Body mass index (kg/m²)
     
 <25
76
12.2
78
14.9
 
 25 - <30
255
40.9
187
35.8
 
 30 - <35
194
31.1
161
30.8
 
 ≥35
98
15.8
96
18.4
0.19
Glycemic control by HbA 1c
     
 Good (≤6.4%)
241
38.6
213
41.1
 
 Moderate (6.5 - 7.4%)
239
38.3
212
40.9
 
 Poor (≥7.5%)
144
23.1
93
18.0
0.10
Mean HbA 1c (SD) in %
6.9 (1.1)
6.8 (1.0)
0.14
Mean HDL (SD) in mg/dl
47.7 (14.3)
57.3 (17.2)
<0.0001
Mean systolic BP (SD) in mmHg
137.8 (18.1)
136.8 (19.0)
0.41
Mean diastolic BP (SD) in mmHg
79.4 (10.2)
79.6 (10.5)
0.68
Physician reported time since diabetes diagnosis
 ≤5 years
241
38.6
213
40.8
 
 6 – 10 years
185
29.7
146
28.0
 
 11 – 15 years
104
16.7
81
15.5
 
 ≥16 years
94
15.1
82
15.7
0.82
Appointments with GPs (last 3 months)
     
 ≤1
260
41.7
197
37.9
 
 2 – 3
245
39.3
216
41.5
 
 ≥4
119
19.1
107
20.6
0.43
Participation in a DMP-DM
471
79.4
398
81.7
0.34
Medication adherence
     
 Good
455
75.6
385
77.0
 
 Moderate
132
21.9
102
20.4
 
 Poor
15
2.5
13
2.6
0.83
General health status (self-rated)
     
 Excellent or very good
62
10.0
40
7.7
 
 Good
366
58.7
291
55.8
 
 Fair
174
27.9
172
32.9
 
 Poor
21
3.4
19
3.6
0.21
Physician diagnosed comorbidities
     
 Hypertension
488
78.3
407
78.1
0.93
 Hypercholesterolemia
350
56.2
300
57.8
0.58
 Coronary heart disease
147
23.6
67
12.8
<0.0001
 Heart failure
75
12.0
64
12.3
0.89
 Intermittent claudication
96
15.4
36
6.9
<0.0001
 Stroke
47
7.5
22
4.2
0.02
 Nephropathy
76
12.2
45
8.6
0.05
 Retinopathy
51
8.2
35
6.7
0.35
 Neuropathy
144
23.1
104
20.0
0.20
 Depression
67
10.7
97
18.6
0.0002
 Cancer
63
10.1
49
9.4
0.70
*SD = standard deviation; HbA1c = glycated haemoglobin A1c; GP = general practitioner;
DMP-DM = disease management program for treatment of patients with type 2 diabetes.
Missing values: education: 21, marital status: 6, occupational status: 51, smoking: 4, BMI: 1, HbA1c: 4, HDL: 270, systolic and diastolic BP: 70, appointments with GPs: 2, DMP-DM: 66, adherence: 44, health status: 1, hypertension: 2, hypercholesterolemia: 4, CHD: 2, heart failure: 1, intermittent claudication: 1, stroke: 2, nephropathy: 1, retinopathy: 1, depression: 1, cancer: 1
Significant results (p < 0.05) by χ² test are printed bold.
Characteristics of diabetes medication stratified for gender and prevalent coronary heart disease are described in Table 2. Significantly more men than women took at least one diabetes medication (men: 77.7% vs. women: 69.6%, p = 0.01). The most frequently prescribed diabetes drugs in men and women were biguanides, sulfonylureas and insulins. The prescription of more expensive diabetes drugs, such as GLP-I analogues, DPP-4 inhibitors and oral combination drugs, was rather low among our study participants. Statistically significant gender-specific differences were evident for thiazolidinediones (p = 0.04) and oral combination drugs (p = 0.02). Overall, prescription of insulin (insulin or insulin analogue) was almost equally frequent among men and women, but was far more common among patients with CHD than without. The number of diabetes medications was statistically significantly increasing with level of glycemic control in men and women (Figures 1 and 2).
Table 2
Diabetes medication by gender and prevalent coronary heart disease
Medication of interest
 
With coronary heart disease
Without coronary heart disease
 
Men
Women
Men
Women
Men
Women
 
(n = 624)
(n = 522)
(n = 147)
(n = 67)
(n = 477)
(n = 455)
 
n
%
n
%
n
%
n
%
n
%
n
%
Number of diabetes medication (mean, STD*)
1.3 (1.1)
1.3 (1.2)
1.5 (1.3)
1.4 (1.1)
1.3 (1.1)
1.2 (1.2)
Number of diabetes medication
           
0
138
22.3
158
30.4
27
18.5
15
22.7
111
23.5
143
31.6
1
245
39.6
175
33.7
50
34.3
22
33.3
195
41.2
153
33.8
2
159
25.7
113
21.8
46
31.5
17
25.8
113
23.9
96
21.2
3 and more
77
12.4
73
14.1
23
15.7
12
18.2
54
11.4
61
13.5
Biguanide
343
55.0
273
52.3
70
47.6
35
52.2
273
57.2
238
52.3
Sulfonylurea
132
21.2
92
17.6
32
21.8
14
20.9
100
21.0
78
17.1
Alpha-glucosidase inhibitor
14
2.2
13
2.5
5
3.4
1
1.5
9
1.9
12
2.6
Thiazolidinedione
39
6.3
19
3.6
11
7.5
3
4.5
28
5.9
16
3.5
Glinide
21
3.4
13
2.5
6
4.1
1
1.5
15
3.1
12
2.6
Glucagon-like peptide-I analogue (GLP-I) exenatide
6
1.0
5
1.0
4
2.7
0
0
2
0.4
5
1.1
Dipeptidyl peptidase-4 (DPP-4) inhibitor
20
3.2
28
5.4
7
3.3
4
6.0
17
3.6
24
5.3
Oral combination drug
26
4.2
9
1.7
6
4.1
1
1.5
20
4.2
8
1.8
Insulin treatment
123
19.8
107
20.5
43
29.7
20
29.8
80
16.8
87
19.1
Short acting insulin
47
7.5
40
7.7
16
10.9
7
10.4
31
6.5
33
7.3
Intermediate acting (basal insulin)
53
8.5
56
10.7
19
12.9
10
14.9
34
7.1
46
10.1
Human insulin combination (short and intermediate acting)
22
3.5
14
2.7
8
5.4
4
6.0
14
2.9
10
2.2
Insulin analogue
58
9.3
43
8.2
22
15.0
8
11.9
36
7.5
35
7.7
*SD = standard deviation. Number may not always add up to total because of missing values for some items.
Significant results (p < 0.05) by χ²-test are printed bold.
Table 3 shows the prevalence of CHD medication stratified by gender. Statistically significant gender-specific differences were found for ACE inhibitors (p = 0.003), calcium channel blockers (p = 0.01) and aspirin (p = 0.002). In the group of CHD patients, statistically significant gender-specific differences were only evident for ACE inhibitors (p = 0.02) and calcium channel blockers (p = 0.004).
Table 3
Coronary heart disease medication by gender and prevalent coronary heart disease
Medication of interest
All
With coronary heart disease
 
Men
Women
Men
Women
 
(n = 624)
(n = 522)
(n = 147)
(n = 67)
 
n
%
n
%
n
%
n
%
Antihypertensive drug
507
81.3
412
78.9
144
98.0
63
94.0
 Angiotensin-converting enzyme (ACE) inhibitor
431
69.1
316
60.5
120
81.6
45
67.2
 Diuretic
186
29.9
176
33.7
70
47.9
34
50.7
 Beta-blocker
267
42.8
228
43.7
112
76.2
48
71.6
 Calcium channel blocker
168
26.9
106
20.3
50
34.0
10
14.9
Lipid lowering drug
277
44.4
216
41.4
110
74.8
45
67.2
Aspirin
213
34.1
133
25.5
102
69.4
45
67.2
Number may not always add up to total because of missing values for some items. Significant results (p < 0.05) by χ²-test are printed bold.
The results of logistic regression analyses regarding the association between gender and diabetes and CHD medications with significant gender differences (p < 0.05) are described in Table 4. Men had 53% increased odds to receive any antidiabetic drug compared to women (95%-CI: 1.17 – 1.99, no table). Men compared to women had 1.8 and 2.5 higher odds to receive thiazolidinediones and oral combination drugs. After stratification for CHD, no significant gender-specific difference in diabetes medication was seen. After full model adjustment men had still 44% and 42% increased odds to receive ACE inhibitors and calcium channel blockers. A positive association between male gender and antithrombotic therapy with aspirin was also observed. In participants with CHD, gender-specific prescription differences of ACE inhibitors and calcium channel blockers were particularly strong. Significant gender differences in ACE inhibitors in CHD patients with diabetes sustained after adjusting for age, Hba1c, appointements with GP, medication adherence and comorbidities that are indications for renin-angiotensin system (RAS) blockade. Overall, all logistic regression models showed a very good model fit by Hosmer-Lemeshow test.
Table 4
Results of diabetes and coronary heart disease medication: Odds ratios (95% confidence intervals) for men compared to women (reference)
  
Total
With coronary heart disease
Without coronary heart disease
Diabetes Medication
Thiazolidinedione
Crude
1.77 (1.01 - 3.09)
1.73 (0.47 - 1.58)
1.71 (0.91 - 3.21)
 
Adjusted a
1.75 (0.99 - 3.08)
1.58 (0.41 - 6.07)
1.68 (0.89 - 3.17)
 
Adjusted b
1.42 (0.79 - 2.57)1
0.94 (0.28 - 3.17)2
1.52 (0.81 - 2.85)3
Oral combination drug
Crude
2.48 (1.51 - 5.34)
2.81 (0.33 - 23.79)
2.45 (1.07 - 5.61)
 
Adjusted a
1.97 (0.94 - 4.13)
1.82 (0.21 - 15.96)
1.91 (0.82 - 4.45)
 
Adjusted b
2.06 (0.98 - 4.31)4
1.93 (0.38 - 9.78)5
1.87 (0.84 - 4.13)6
Coronary Heart Disease Medication
Angiotensin-converting enzyme inhibitor
Crude
1.46 (1.14 – 1.86)
2.17 (1.12 – 4.20)
 
 
Adjusted a
1.52 (1.18 – 1.95)
2.18 (1.09 – 4.35)
 
 
Adjusted c
1.44 (1.11 – 1.88)7
-
 
 
Adjusted d
-
2.61 (1.26 – 5.42)8
 
Calcium channel blocker
Crude
1.45 (1.10 – 1.91)
2.94 (1.38 – 6.24)
 
 
Adjusted a
1.55 (1.17 – 2.06)
3.53 (1.58 – 7.89)
 
 
Adjusted c
1.42 (1.05 – 1.91)9
-
 
 
Adjusted d
 
3.64 (1.55 – 8.52)10
 
Aspirin
Crude
1.52 (1.17 – 1.96)
1.10 (0.58 – 2.08)
 
 
Adjusted a
1.80 (1.38 – 2.36)
0.96 (0.49 – 1.87)
 
 
Adjusted e
1.36 (1.01 – 1.84)11
-
 
 
Adjusted f
-
1.12 (0.57 – 2.21)12
 
Adjusted for: aage and HbA1c level, bage, HbA1c level, physician reported diabetes duration, appointments with the GP, marital status, diabetic nephropathy, depression, cage, HbA1c level, appointments with the GP, medication adherence, coronary heart disease, stroke, intermittent claudication, diabetic nephropathy and depression, dage, HbA1c level, appointments with the GP, medication adherence, stroke, intermittent claudication, diabetic nephropathy and depression, eage, HbA1c level, appointments with the GP, medication adherence, coronary heart disease, stroke, diabetic nephropathy and depression, fage, HbA1c level, appointments with the GP, medication adherence, stroke, diabetic nephropathy and depression.
Goodness of fit: 1p = 0.74; 2p = 0.87; 3p = 0.33; 4p = 0.66; 5p = 0.85 6p = 0.66; 7p = 0.83; 8p = 0.46; 9p = 0.93; 10p = 0.70; 11p = 0.13; 12p = 0.76.

Discussion

Our results demonstrate that men with diabetes were significantly more likely to receive oral combination drugs, ACE inhibitors and calcium channel blockers for CHD than women. Gender-specific differences could also be observed for aspirin use for the overall study sample, but not for the CHD subsample. Taken together, these patterns suggest that diabetic men might be more thoroughly treated than women, especially in terms of CHD medication. Furthermore, the number of diabetes medication was significantly increasing with the level of glycemic control and diabetes duration in men and women with diabetes.
Our finding of gender-specific, also not statistically significant differences in the prescription of diabetes medication such as thiazolidinediones is in accordance with the results of a German cross-sectional study [15]: Lehnert et al. analyzed data on 6,786 people with diabetes in primary care and found a slightly higher prescription rate of thiazolidinediones in men (4.4%) than in women (3.6%) above the age of 60 years. Apart from the different time frames of the studies (Lehnert et al.: 2001; our study: 2008–2010), differences in prescription rates might be mainly explained by disparities in diabetes duration (Lehnert et al.: 4.5 (±1.2 years) vs. our study: 8.8 (±7.1 years)) which is one of the main determinants of treatment choice. Reasons for the higher prescription of thiazolidinediones in men than in women are unclear. Studies have suggested that thiazolidinediones have beneficial effects on inflammatory and atherogenic parameters, blood pressure and microalbuminuria [16] and that thiazolidinediones doubles the risk of fractures among women, but not among men with diabetes [17]. Due to severe side effects the most frequently prescribed thiazolidinediones, namely Rosiglitazone and Pioglitazone, can no longer be prescribed for diabetes treatment in Germany since April 2011 [18], and Rosiglitazone was recommended for suspension by the European Medicines Agency (EMA) in September 2010 [19].
The higher prescription rate of oral combination drugs in men compared to women with T2DM might be explained by the higher number of comorbidities and burden of disease in participating men compared to women and the attempt of the general practitioners to reduce the overall number of medication especially for men.
Our findings regarding CHD medication are in line with previous research: The results of the Euro Heart Survey on Heart Failure including 8,914 patients with heart failure showed that women got less ACE inhibitors and beta-blockers than men [20]. A German cross-sectional study on 1,857 consecutive patients with heart failure likewise showed a difference in the prescription of ACE inhibitors and dosage of beta-blockers, and revealed a less evidence-based treatment in women than in men [21]. For patients with diabetes mellitus, a Swedish study including 229 primary care centres revealed - similar to our study - that men were more often prescribed ACE inhibitors than women and that only one third of the patients below 75 years was on lipid-lowering drug therapy [22]. The higher prescription rate of ACE inhibitors among men can potentially be explained not only by the higher CVD comorbidity, but also by the higher prevalence of nephropathy in men than in women and the protective effect of ACE inhibitors towards progression of nephropathy [23]. Brannström et al [24] investigated gender disparities in the pharmacological treatment of cardiovascular disease and diabetes mellitus in a cohort of elderly people aged 85 years or older. Women received significantly more drugs, more diuretics, more nitrates. In contrast to our study, no differences were found for insulin therapy, Aspirin and ACE inhibitors, but ACE inhibitor prescription rates were considerably lower in this study compared to ours. For patients with coronary events or revascularisation the EUROASPIRE III study found higher ACE-inhibitors prescription rates for men than for women. Women receive more diuretics, insulin and oral antidiabetic agents [25]. Lipid lowering treatment is generally recommended for all people with T2DM with a high risk for macroangiopathic complications or with CHD [26]. The underuse of lipid lowering drugs together with a lack of antithrombotic drugs might point to a suboptimal quality of health care, because both are crucial for the reduction of cardiovascular comorbidity and all-cause mortality in people with diabetes [2729]. A large Danish primary care study [30] on patients screened for diabetes with a high risk for CVD and a large US retrospective study [31] on people with diabetes found that less women than men received an adequate lipid-lowering treatment. In our study which was conducted between 2008 and 2010, already 43% of the patients with diabetes received lipid lowering drugs, but with no differences between men and women.
In summary, as various studies [32, 33] and a recently published review [34] point out, gender differences regarding diabetes mellitus are present for all steps in the glucometabolic pathway starting with differences in patho-physiological disturbances, the risk factor distribution, incidence and prevalence of complications, and finally diagnostic techniques and therapy. Franconi et al conclude, that a gender specific approach for all aspects of patient care is much needed to improve overall perspective of patients with diabetes mellitus [34].
Our study results are limited by the cross-sectional study design, i.e. causality cannot be derived and no conclusion on trends in treatment can be drawn. In particular, our study did not allow identifying with certainty the potential reasons underlying gender differences in medication. The relatively small numbers in each medication group limited the power to detect differences of small and moderate size. Although we aimed for the inclusion of all people with T2DM in a large number of practices, selection effects of participating GPs and regional variation in treatment might limit generalizability. Furthermore, the insurance status was not recorded at baseline. We could not perform a detailed monitoring of completeness of recruitment of diabetes patients in the practices.

Conclusions

Men with diabetes were significantly more likely to receive oral combination drugs, ACE inhibitors and calcium channel blockers in the presence of coronary heart disease. These patterns suggest that diabetic men might be more thoroughly treated than women, especially in terms of CHD medication. We hope that our results will contribute to and stimulate the discussion on gender-specific disparities in diabetes healthcare.

Acknowledgement

Conflict of interest statement: we declare that we have no conflict of interest. We wish to thank all the participants of the DIANA study and our cooperating study partners. This study was supported by a grant of the Federal Ministry of Education and Research (study identification number: 01GX0746) and is registered at ClinicalTrials.gov (identification number: NCT00742547). The sponsor of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.
Support
This study was supported by a grant of the Federal Ministry of Education and Research (study identification number: 01GX0746).
Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://​creativecommons.​org/​licenses/​by/​2.​0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

HUK conducted the statistical analysis and HUK and ER drafted the manuscript. ER, GR, DR, TR, JS and HB designed the study, supervised its implementation and field activities. All contributing authors were revising the manuscript critically for important intellectual content. All authors have read and approved the final version of the manuscript.
Anhänge

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Metadaten
Titel
Gender disparities in diabetes and coronary heart disease medication among patients with type 2 diabetes: results from the DIANA study
verfasst von
Heike U Krämer
Elke Raum
Gernot Rüter
Ben Schöttker
Dietrich Rothenbacher
Thomas Rosemann
Joachim Szecsenyi
Hermann Brenner
Publikationsdatum
01.12.2012
Verlag
BioMed Central
Erschienen in
Cardiovascular Diabetology / Ausgabe 1/2012
Elektronische ISSN: 1475-2840
DOI
https://doi.org/10.1186/1475-2840-11-88

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