Literature DB >> 29785272

Abdominal obesity in type 1 diabetes associated with gender, cardiovascular risk factors and complications, and difficulties achieving treatment targets: a cross sectional study at a secondary care diabetes clinic.

Eva O Melin1,2,3, Hans O Thulesius2,3,4, Magnus Hillman5, Mona Landin-Olsson1,5,6, Maria Thunander1,2,7.   

Abstract

BACKGROUND: Abdominal obesity is linked to cardiovascular diseases in type 1 diabetes (T1D). The primary aim was to explore associations between abdominal obesity and cardiovascular complications, metabolic and inflammatory factors. The secondary aim was to explore whether achieved recommended treatment targets differed between the obese and non-obese participants.
METHODS: Cross sectional study of 284 T1D patients (age 18-59 years, men 56%), consecutively recruited from one secondary care specialist diabetes clinic in Sweden. Anthropometrics, blood pressure, serum-lipids and high-sensitivity C-reactive protein (hs-CRP) were collected and supplemented with data from the patients' medical records and from the Swedish National Diabetes Registry. Abdominal obesity was defined as waist circumference men/women (meters): ≥1.02/≥0.88. Hs-CRP was divided into low-, moderate-, and high-risk groups for future cardiovascular events (< 1, 1 to 3, and > 3 to ≤8.9 mg/l). Treatment targets were blood pressure ≤ 130/≤ 80, total cholesterol ≤4.5 mmol/l, LDL: ≤ 2.5 mmol/l, and HbA1c: ≤5 2 mmol/mol (≤ 6.9%). Different explanatory linear, logistic and ordinal regression models were elaborated for the associations, and calibrated and validated for goodness of fit with the data variables.
RESULTS: The prevalence of abdominal obesity was 49/284 (17%), men/women: 8%/29% (P < 0.001). Women (adjusted odds ratio (AOR) 6.5), cardiovascular complications (AOR 5.7), HbA1c > 70 mmol/mol (> 8.6%) (AOR 2.7), systolic blood pressure (per mm Hg) (AOR 1.05), and triglycerides (per mmol/l) (AOR 1.7), were associated with abdominal obesity. Sub analyses (n = 171), showed that abdominal obesity (AOR 5.3) and triglycerides (per mmol/l) (AOR 2.8) were associated with increasing risk levels of hs-CRP. Treatment targets were obtained for fewer patients with abdominal obesity for HbA1c (8% vs 21%, P = 0.044) and systolic blood pressure (51% vs 68%, P = 0.033). No patients with abdominal obesity reached all treatment targets compared to 8% in patients without abdominal obesity.
CONCLUSIONS: Significant associations between abdominal obesity and gender, cardiovascular disease, and the cardiovascular risk factors low-grade inflammation, systolic blood pressure, high HbA1c, and triglycerides, were found in 284 T1D patients. Fewer patients with abdominal obesity reached the treatment targets for HbA1c and systolic blood pressure compared to the non-obese.

Entities:  

Keywords:  Abdominal obesity; Cardiovascular complications; Diabetes mellitus type 1; Gender; Glycemic control; Hyperlipidemia; Hypertension; Inflammation; Treatment targets

Year:  2018        PMID: 29785272      PMCID: PMC5950250          DOI: 10.1186/s40608-018-0193-5

Source DB:  PubMed          Journal:  BMC Obes        ISSN: 2052-9538


Background

Both women and men with type 1 diabetes mellitus (T1D) have increased cardiovascular and all-cause mortality compared to persons without T1D, and the risk for premature death is increasing with increasing HbA1c levels [1]. Women with T1D are described to be at particular risk for both coronary artery calcification and for cardiovascular death across all age groups [1, 2]. The introduction of intensified insulin therapy for patients with type 1 diabetes mellitus (T1D) has led to decreased prevalence of diabetic retinopathy, nephropathy and neuropathy [3]. Intensive insulin therapy has however two major side effects, weight gain and increased frequency of severe episodes of hypoglycaemia [3]. Excess weight gain in T1D is associated with abdominal obesity, insulin resistance, dyslipidaemia, higher blood pressure, and atherosclerosis [4]. Particularly girls/women with T1D are at risk for developing overweight and obesity [5]. The prevalence of obesity is increasing globally [6]. When this study was conducted in 2009, the prevalence of general obesity (BMI ≥ 30 kg/m2) was 11% in men, and 10% in women in the general population in Sweden [7]. There is evidence that low-density lipoprotein (LDL) is both an indicator of future cardiovascular risk and a causal agent in the atherothrombotic process [8]. Raised triglycerides have been associated with low-grade inflammation, artery calcification, cardiovascular disease and all-cause mortality, and there is evidence that triglycerides are causal in the atherosclerosis process [9-12]. Common causes of raised triglycerides are obesity and high alcohol intake [9]. Impaired glycemic control has been linked to raised triglycerides in type 2 diabetes (T2D) [9]. Low levels of high-density lipoprotein (HDL) are strong predictors of atherosclerosis and cardiovascular disease [13]. However the causal relation between HDL and atherosclerosis is uncertain [13]. Lipid-lowering drugs are associated with a reduced risk of cardiovascular disease and death in T1D [14]. Chronic low-grade inflammation has been associated with obesity, insulin resistance, hypertension, hyperglycemia, acute hypoglycemia, dyslipidaemia, cardiovascular disease, and smoking [15-18]. One of the most frequently used markers of low-grade inflammation is high sensitivity C-reactive protein (hs-CRP), which is atherogenic, and a strong predictor of future cardiovascular events [15, 19]. Hs-CRP might be involved in mediating atherothrombotic disease through activation of complement pathways and immune cells [20]. In line with both international and Swedish national guidelines for diabetes, indications for lipid-lowering drugs at the clinic in 2009 were total cholesterol (TC) > 4.5 mmol/l or LDL > 2.5 mmol/l, in addition to dietary interventions and increased physical activity [21-23]. Indications for anti-hypertensive drugs were systolic blood pressure > 130 mmHg, or diastolic blood pressure > 80 mmHg [18, 21–24]. We have recently found that alexithymia, which is characterized by impaired capacity to identify and describe feelings, was associated with abdominal obesity [25]. We have also previously found that abdominal obesity, depression and smoking were independently associated with inadequate glycemic control [26]. The primary aim was to explore links between abdominal obesity, metabolic and inflammatory factors and cardiovascular complications in persons with T1D. The secondary goal was to explore whether obtained treatment targets for HbA1c, blood pressure, TC and LDL differed between the obese and non-obese participants.

Methods

Participants and procedures

This study had a cross sectional design and was one of four baseline analyses [25-27] for a randomized controlled trial (ClinicalTrials.gov: NCT01714986) where “Affect School with Script Analysis” was tried against “Basic Body Awareness Therapy” for persons with diabetes, inadequate glycemic control and psychological symptoms [28, 29]. The participants were outpatients, consecutively recruited by specialist diabetes physicians or diabetes nurses, at regular follow up visits during the period 03/25/2009 to 12/28/2009. They were recruited from one secondary care specialist diabetes clinic, with a catchment population of 125,000 in southern Sweden. In this study 284 persons with T1D were included, 66% of the eligible patients (Fig. 1). Exclusion criteria were cancer, hepatic failure, end-stage renal disease, stroke with cognitive deficiency, psychotic disorder, bipolar disorder, severe personality disorder, severe substance abuse, or mental retardation. Anthropometrics, blood pressure and blood samples were collected. Data were collected from computerized medical records and the Swedish national diabetes register (S-NDR) [1, 23].
Fig. 1

Description of criteria for inclusion in the study of obesity in persons with T1D

Description of criteria for inclusion in the study of obesity in persons with T1D

Medication

Diabetes specific treatment was divided into three groups: multiple daily insulin injections (MDII), continuous subcutaneous insulin infusion (CSII), and MDII combined with oral antidiabetic agents (OAA) (ATC code A10BA02). The indications for OAA prescription in addition to insulin were obesity and insulin resistance. Anti-hypertensive drugs were calcium antagonists (ATC codes C08CA01–02); angiotensin-converting enzyme (ACE) inhibitors (ATC codes C09AA-BA), angiotensin II antagonists (ATC codes C09CA-DA; diuretics (ATC code C03A); selective beta-adrenoreceptor antagonists (ATC code C07AB). Lipid-lowering drugs were HMG CoA-reductase inhibitors (statins) (C10AA).

Anthropometrics and blood pressure

Waist circumference (WC), weight, length and blood pressure were measured according to standard procedures by a nurse. Abdominal obesity was defined as WC men/women (meters): ≥ 1.02/> 0.88 [30-32]. General obesity was defined as Body Mass Index (BMI): ≥ 30 kg/m2 for both genders [31].

HbA1c, serum-lipids and hs-CRP

HbA1c and serum lipids analyses were performed at the department of Clinical Chemistry, Växjö Central Hospital. Venous HbA1c was analyzed with high pressure liquid chromatography, HPLC - variant II, Turbo analyzer (Bio – Rad®, Hercules, CA, USA). HbA1c > 70 mmol/mol (> 8.6%) corresponds to the 75th percentile in the whole population sample [26]. After an overnight fast, blood samples were collected and serum-lipids were were measured directly [8], using the enzymatic colour test (Olympus AU®, Tokyo, Japan). High TC was defined as > 4.5 mmol/l, high LDL as > 2.5 mmol/l, high triglycerides as ≥1.7 mmol/l; low HDL as < 1.04 mmol/l for men, and as < 1.29 mmol/l for women [33]. Samples for hs-CRP were collected, centrifuged, and stored at − 70 C Celsius until analyzed with spectrophotometry on a Roche Cobas C501 at the diabetes laboratory, Lund University Hospital, Lund. Hs-CRP was 0.54 ± 0.02 mg/l in healthy subjects according to previous research [16]. Hs-CRP < 1, 1 to 3, and > 3 to ≤10 mg/l correspond to low-, moderate- and high-risk groups for future cardiovascular events [19]. Samples with hs-CRP ≥10 mg/l were excluded as recommended in previous research [19]. Samples stored > 1 year were excluded. Hs-CRP was available for 171 (60%) participants.

Treatment targets according to the Swedish National Guidelines for diabetes in 2009

The treatment targets recommend by the Swedish National Board of Health and Welfare were for T1D patients: 1) glycemic control: HbA1c ≤52 mmol/mol; 2) systolic/diastolic blood pressure: ≤130/≤80 mmHg; 3) serum-lipids: TC ≤4.5 and LDL ≤2.5 mmol/l [22].

Hypoglycemia episodes

A severe hypoglycemia episode was defined as needing help from another person. Episodes during the last 6 months prior to recruitment were registered.

Smoking and physical inactivity

Smokers were defined as having smoked any amount of tobacco during the last year. Physical inactivity was defined as moderate activities, such as 30 min of walking, less than once a week.

Cardiovascular complications

Cardiovascular complications were defined as ischemic heart disease or stroke/TIA.

Statistical analysis

Analysis of data distribution using histograms revealed that age, diabetes duration, hs-CRP, triglycerides, BMI and WC were not normally distributed. Data were presented as median values (quartile (q)1, q3; range), and analyses were performed with Mann-Whitney U test. Fisher’s exact test (two-tailed) and Linear-by-Linear Association (two-tailed) were used to analyze categorical data. Crude odds ratios (CORs) were calculated, variables with P ≤ 0.10, and age independent of P-value, were entered in multiple logistic regression analyses (Backward: Wald). The Hosmer and Lemeshow test for goodness-of-fit and Nagelkerke R2 were used to evaluate each multiple logistic regression analysis model. Ordinal regression analysis (stepwise forward) was performed with 3 risk levels of hs-CRP as dependent variables. Variables with P-values ≤0.10 in simple linear regression analyses were entered into multiple linear regression analyses (Backward). Confidence intervals (CIs) of 95% were used. P < 0.05 was considered statistically significant. SPSS® version 18 (IBM, Chicago, Illinois, USA) was used for statistical analyses.

Results

In this population based cross sectional study of persons with T1D (n = 284, age 18–59 years, men 56%), persons with abdominal obesity (n = 49) were compared with non-obese persons (n = 235). Baseline data including comparisons between men and women are presented in Table 1. The women, compared with the men, had higher prevalence of both abdominal obesity (29% vs 8%, P < 0.001) and general obesity (18% vs 7%, P = 0.005). The men had higher systolic and diastolic blood pressure (both P < 0.001) and lower HDL (P = 0.002). The percentage that reached the recommended treatment targets were for HbA1c: 19%; TC: 48%; LDL: 36%; systolic blood pressure: 65%; diastolic blood pressure: 95%. Only 7% reached all treatment targets.
Table 1

Baseline characteristics and comparisons between men and women for 284 persons with T1D

All patientsMenWomen P a
N 284159 (56)125 (44)
Age (years)42 (32, 51; 18–59)43 (32, 52)41 (30, 50)0.12 b
Diabetes duration (years)20 (11, 30; 1–55)21 (11–32)19 (11, 29)0.26 b
WC (meters)0.88 (0.82, 0.95; 0.65–1.33)0.79 (0.75, 0.90; 0.63–1.25)
Abdominal obesity c49 (17)13 (8)36 (29)< 0.001
General obesity d34 (12)11 (7)23 (18)0.005
HbA1c > 52 mmol/mol (>  6.9%)230 (81)130 (82)100 (80)0.76
HbA1c > 70 mmol/mol (>  8.6%)39 (24)39 (24)39 (31)0.23
TC (mmol/l)4.6 (4.1, 5.2; 2.1–10.9)4.5 (4.0, 5.1)4.7 (4.1, 5.4)0.069 b
High TC (> 4.5 mmol/l)149 (52)78 (49)71 (57)0.23
LDL (mmol/l)2.8 (2.4, 3.3; 0.6–8.3)2.8 (2.4, 3.3)2.9 (2.4, 3.4)0.51 b
High LDL (> 2.5 mmol/l)182 (64)102 (64)80 (64)> 0.99
Triglycerides (mmol/l)0.9 (0.7, 1.3; 0.6–5.9)0.9 (0.7, 1.3)0.8 (0.6, 1.3)0.47 b
High triglycerides (≥ 1.7 mmol/l)34 (12)16 (10)18 (14)0.28
HDL (mmol/l)1.5 (1.3, 1.8; 0.8–2.7)1.4 (1.2, 1.7)1.6 (1.4, 1.8)0.002 b
Low HDL (M/W: < 1.04/< 1.29 mmol/l/)32 (11)17 (11)15 (12)0.85
Hs-CRP e (mg/l)0.6 (0.3, 1.7; 0.03–8.9)0.5 (0.2, 1.4)0.9 (0.4, 2.5)0.008 b
SBP f (mm Hg)120 (111, 130; 100–160)125 (120, 130)120 (110, 130)< 0.001 b
High SBP f (> 130 mmHg)100 (35)67 (42)33 (26)0.006
DBP h (mm Hg)70 (70, 75; 55–100)70 (70, 80)70 (65, 75)< 0.001 b
High DBP g (>  80 mmHg)13 (5)10 (6)3 (2)0.16
Hypoglycemia (severe episodes)13 (5%)7 (4)6 (5)> 0.99
Smoking h28 (10)18 (12)10 (8)0.42
Physical inactivity h (<  1/week)31 (11)18 (12)13 (11)0.85
CV i complications10 (4)6 (4)4 (3)> 0.99
LLD j133 (47)77 (48)56 (45)0.55
AHD k95 (34)61 (38)34 (27)0.057
MDII l and OAD m17 (6)6 (4)11 (9)0.15
CSII n26 (9)13 (8)13 (10)
MDII l241 (85)140 (88)101 (81)
Reached all treatment targets o19 (7)11 (7)8 (6)> 0.99

Data are n (%) or median (q1, q3; min-max)

a Fisher’s exact test unless otherwise indicated. b Mann-Whitney U test. c WC: men/women ≥1.02/≥0.88 m. d BMI ≥30 kg/m2. e N = 171, missing values for men/women: n = 54/59. f Systolic blood pressure. g Diastolic blood pressure. h Missing values men/women: n = 6/6. i Cardiovascular. j Lipid-lowering drugs. k Anti-hypertensive drugs. l Multiple daily insulin injections. m Oral antidiabetic drugs. n Continuous subcutaneous insulin infusion. o Blood pressure ≤ 130/≤ 80, TC ≤ 4.5, LDL ≤ 2.5 and HbA1c ≤ 52

Baseline characteristics and comparisons between men and women for 284 persons with T1D Data are n (%) or median (q1, q3; min-max) a Fisher’s exact test unless otherwise indicated. b Mann-Whitney U test. c WC: men/women ≥1.02/≥0.88 m. d BMI ≥30 kg/m2. e N = 171, missing values for men/women: n = 54/59. f Systolic blood pressure. g Diastolic blood pressure. h Missing values men/women: n = 6/6. i Cardiovascular. j Lipid-lowering drugs. k Anti-hypertensive drugs. l Multiple daily insulin injections. m Oral antidiabetic drugs. n Continuous subcutaneous insulin infusion. o Blood pressure ≤ 130/≤ 80, TC ≤ 4.5, LDL ≤ 2.5 and HbA1c ≤ 52

Comparisons between patients with and without abdominal obesity

Results of comparisons between 49 persons with abdominal obesity and 235 persons without abdominal obesity are presented in Table 2. Persons with abdominal obesity had higher prevalence of HbA1c > 70 mmol/mol (> 8.6%) (P < 0.001), lipid-lowering drugs (P = 0.012) and cardiovascular complications (P = 0.016); and had higher median values of hs- CRP (P < 0.001), triglycerides (P < 0.001), systolic blood pressure (P = 0.004), LDL (P = 0.021) and TC (P = 0.047). Fewer patients with abdominal obesity compared to the non-obese reached the recommended treatment targets for HbA1c (8% vs 21%, P = 0.044) and systolic blood pressure (51% vs 68%, P = 0.033). No patients with abdominal obesity reached all risk factor treatment targets for blood pressure, TC, LDL and HbA1c compared to 8% in the non-obese.
Table 2

Comparisons between obese and non-obese, users and non-users of antihypertensive and lipid-lowering drugs

Abdominal obesityAnti-hypertensive drugsLipid-lowering drugs
YesNo P a YesNo P a YesNo P a
N 49 (17)235 (83)95 (33)189 (67)133 (47)151 (53)
Age45 (35, 53)42 (31, 51)0.11 b49 (42, 56)39 (28, 56)< 0.001 b49 (42, 54)34 (27, 44)< 0.001 b
Diabetes duration22 (14, 28)20 (11, 31)0.64b29 (20, 35)16 (9, 25)< 0.001 b26 (14, 34)17 (9, 24)< 0.001 b
Abdominal obesity49 (100)022 (23)27 (14)0.06931 (23)18 (12)0.012
HbA1c > 52 mmol/mol (>  6.9%)45 (92)185 (79)0.04479 (83)151 (80)0.63114 (86)116 (77)0.069
HbA1c > 70 mmol/mol (>  8.6%)24 (49)54 (23)< 0.00129 (30)49 (26)0.4840 (30)38 (25)0.42
TC (mmol/l)4.7 (4.2, 5.8)4.6 (4.1, 5.1)0.047 b4.5 (4.0, 5.2)4.6 (4.1, 5.2)0.32 b
High TC (> 4.5 mmol/l)29 (59)120 (51)0.3563 (47)86 (57)0.12
Triglycerides (mmol/l)1.2 (0.8, 1.9)0.9 (0.7, 1.1)< 0.001 b1.0 (0.7, 1.3)0.8 (0.7, 1.1)0.014 b
High triglycerides (≥ 1.7 mmol/l)14 (29)20 (8)< 0.00121 (16)13 (9)0.070
HDL (mmol/l)1.5 (1.3, 1.7)1.5 (1.3, 1.8)0.47 b1.5 (1.3, 1.8)1.5 (1.3, 1.8)0.48 b
Low HDL (m/w:< 1.04/1.29 mmol/l)5 (10)27 (11)> 0.9912 (9)20 (13)0.35
LDL (mmol/l)3.2 (2.5, 3.8)2.8 (2.4, 3.3)0.021 b2.7 (2.3, 3.3)3.0 (2.5, 3.4)0.058 b
High LDL (> 2.5 mmol/l)36 (74)146 (62)0.1474 (56)108 (72)0.006
Hs-CRP c (mg/l)2.5 (0.6, 4.6)0.6 (0.2, 1.4)< 0.001 b0.6 (0.3, 1.7)0.7 (0.3, 1.9)0.870.6 (0.3, 1.8)0.8 (0.3, 1.7)0.97
SBP (mm Hg)130 (120, 132)120 (110, 130)0.004 b130 (125, 135)120 (110, 125)< 0.001 b
High SBP (> 130 mmHg)24 (49)76 (32)0.03359 (62)41 (22)< 0.001
DBP (mm Hg)70 (70, 78)70 (65, 75)0.051 b70 (70, 78)70 (65, 75)0.011 b
High DBP (>  80 mmHg)5 (10)8 (3)0.0547 (7)6 (3)0.14
Hypoglycemia (severe episodes)3 (6)10 (4)0.48
Smoking4 (9)24 (11)0.806 (6)22 (12)0.2013 (10)15 (10)> 0.99
Physical inactivity (<  1/week)9 (19)22 (10)0.08410 (11)21 (12)> 0.9911 (8)20 (14)0.18
CV complications5 (10)5 (2)0.0167 (7)3 (2)0.0189 (7)1 (1)0.007
LLD31 (63)102 (43)0.01262 (65)71 (38)< 0.001
AHD22 (45)73 (31)0.06962 (47)33 (22)< 0.001
MDII and OAD13 (27)4 (2)< 0.001
CSII1 (2)25 (10)
MDII35 (71)206 (88)
Reached all treatment targets019 (8)0.052

Data are n (%) or median (q1, q3)

a Fisher’s exact test unless otherwise indicated. b Mann-Whitney U test. c Missing values for abdominal obesity/no abdominal obesity: N = 27 (55%)/86 (37%)

Comparisons between obese and non-obese, users and non-users of antihypertensive and lipid-lowering drugs Data are n (%) or median (q1, q3) a Fisher’s exact test unless otherwise indicated. b Mann-Whitney U test. c Missing values for abdominal obesity/no abdominal obesity: N = 27 (55%)/86 (37%)

Comparisons between users and non-users of anti-hypertensive and lipid-lowering drugs

Persons treated with anti-hypertensive drugs had higher prevalence of high systolic blood pressure (62% vs 22%, P < 0.001), and cardiovascular complications (P = 0.018) (Table 2). Patients treated with lipid-lowering drugs had significantly higher median triglycerides (P = 0.014), higher prevalence of cardiovascular complications (P = 0.007), and lower prevalence of high LDL (P = 0.006) than non-users of lipid-lowering drugs (Table 2).

Factors associated with abdominal obesity

Women (adjusted odds ratio (AOR) 6.5), systolic blood pressure (per mm Hg) (AOR 1.05), HbA1c > 70 mmol/mol (> 8.6%) (AOR 2.7), triglycerides (per mmol/l) (AOR 1.7), and cardiovascular complications (AOR 5.7) were associated with abdominal obesity (Table 3). Gender analyses showed that diastolic blood pressure (per mm Hg) (AOR 1.13) and anti-hypertensive drugs (AOR 5.3) were associated with abdominal obesity in men. Triglycerides (per mmol/l) (AOR 2.1), lipid-lowering drugs (AOR 3.1), and HbA1c > 70 mmol/mol (> 8.6%) (AOR 2.9), were associated with abdominal obesity in women.
Table 3

Associations with abdominal obesity in patients with T1DM, presented for all and gender specified

Abdominal obesity
Both gendersMenWomen
N = 284 aN = 272N = 158N = 119
COR P AOR P b AOR P b AOR P b
Gender (women)4.5 (2.3–9.0)< 0.0016.5 (2.9–14.5)< 0.001
Age (per year)1.02 (1.00–1.05)0.111.01 (0.97–1.06)0.541.03 (0.97–1.10)0.311.01 (0.96–1.06)0.78
Diabetes duration (per year)1.00 (0.98–1.03)0.77
HbA1c > 70 mmol/mol (>  8.6%)3.2 (1.7–6.1)< 0.0012.7 (1.3–5.7)0.0091.9 (0.5–7.1)0.362.9 (1.2–7.2)0.022
TC1.2 (0.9–1.6)0.15
Triglycerides (per mmol/l)1.9 (1.3–2.8)< 0.0011.7 (1.1–2.6)0.0101.0 (0.5–2.0)> 0.992.1 (1.2–3.7)0.011
HDL (per mmol/l)0.7 (0.3–1.6)0.340.4 (0.1–1.7)0.24
LDL (per mmol/l)1.4 (1.0–1.9)0.0721.0 (0.7–1.70)0.861.0 (0.56–1.98)0.88
SBP (per mm Hg)1.04 (1.01–1.07)0.0041.05 (1.01–1.08)0.0051.01 (0.94–1.10)0.721.03 (0.99–1 .07)0.20
DBP (per mm Hg)1.04 (1.00–1.09)0.0451.02 (0.96–1.09)0.471.13 (1.03–1.24)0.007
Hypoglycemia1.5 (0.4–5.5)0.57
Smoking c0.8 (0.3–2.4)0.66
Physical inactivity2.1 (0,9–4.8)0.0831.7 (0.5–5.2)0.363.4 (0.8–14.4)0.10
CV complications5.2 (1.5–18.9)0.0115.7 (1.1–28.90.035
LLD2.2 (1.2–4.2)0.0131.9 (0.9–4.1)0.0963.1 (1.3–7.6)0.014
AHD1.8 (1.0–3.4)0.0641.1 (0.5–2.6)0.795.3 (1.3–20.7)0.018

a Unless indicated. b Multiple logistic regression analysis (Backward: Wald). c Missing values: n = 12. All/men/women: Hosmer and Lemeshow: Test 0.039/0.799/0.471; Nagelkerke R Square 0.335/0.234/0.250

Associations with abdominal obesity in patients with T1DM, presented for all and gender specified a Unless indicated. b Multiple logistic regression analysis (Backward: Wald). c Missing values: n = 12. All/men/women: Hosmer and Lemeshow: Test 0.039/0.799/0.471; Nagelkerke R Square 0.335/0.234/0.250

Factors associated with high-, moderate- and low-risk hs-CRP levels in 171 persons

Abdominal obesity (AOR (CI) 5.3 (2.1–13.6)) and triglycerides (per mmol/l) (AOR (CI) 2.82 (1.68–4.93)) were associated with increasing risk levels of hs-CRP (Table 4).
Table 4

Associations with low-, moderate- and high-risk hs-CRP levels

Hs-CRP risk levels
All (With CRP)Low (<  1 mg/l)Moderate (1 to ≤3 mg/l)High (> 3.0 to ≤ 8.9 mg/l)Increasing hs-CRP risk levels
N = 171N = 107N = 44N = 20N = 171
N (%) or median (q1, q3) P a COR (CI) P b AOR (CI) P b
GenderWomen66 (39)35 (33)19 (43)12 (60)0.0172.0 (1.1–3.8)0.023NS
Men105 (61)72 (67)25 (57)8 (40)
Age42 (30, 50)42 (31, 50)40 (27, 51)42 (29, 53)0.73 c1.00 (0.97–1.02)0.72NS
Abdominal obesity22 (13)7 (6)5 (11)10 (50)< 0.0017.0 (2.8–17.9)< 0.0015.3 (2.1–13.6)< 0.001
HbA1c > 70 mmol/mol51 (30)27 (25)11 (25)13 (65)0.0042.2 (1.2–4.3)0.016NS
TC (mmol/l)4.6 (4.1, 5.2)4.5 (4.0, 5.1)4.8 (4.1, 5.4)4.8 (4.4, 6.0)0.035 c1.5 (1.2–2.0)0.002NS
Triglycerides (mmol/l)0.9 (0.7, 5.2)0.8 (0.6, 1.1)1.0 (0.7, 1.4)1.3 (0.9, 2.4)< 0.001 c3.2 (1.9–5.7)< 0.0012.82 (1.68–4.93)< 0.001
HDL (mmol/l)1.5 (1.3, 1.8)1.6 (1.3, 1.8)1.6 (1.3, 1.7)1.4 (1.1, 1.7)0.32 c0.6 (0.2–1.4)0.21NS
LDL (mmol/l)2.9 (2.3, 3.3)2.7 (2.2, 3.2)2.9 (2.4, 3.6)3.2 (2.8, 3.6)0.010 c1.7 (1.2–2.4)0.002NS
SBP (mm Hg)120 (115, 130)120 (115, 130)120 (110, 130)128 (120, 134)0.16 c1.02 (0.99–1.05)0.15NS
DBP (mm Hg)70 (70, 75)70 (65, 75)70 (66, 80)75 (70, 78)0.036 c1.07 (1.02–1.12)0.003NS
LLD82 (48)50 (47)21 (48)11 (55)0.551.2 (0.6–2.2)0,60NS
AHD51 (30)31 (29)14 (32)6 (30)0.821.1 (0.6–2.1)0.78NS
Smoking d18 (10)11 (10)5 (12)2 (10)0.96
Physical inactivity e22 (13)10 (10)10 (23)2 (10)0.28
CV complications7 (4)4 (4)03 (15)0.162.3 (0.4–12.1)0.30NS

NS Non-significant

a Linear-by-linear Association (Exact 2-sided) unless indicated. b Ordinal regression analyses. c Kruskal-Wallis test. Missing values: d n = 2; e n = 3. d, e Not included in the ordinal regression analyses

Associations with low-, moderate- and high-risk hs-CRP levels NS Non-significant a Linear-by-linear Association (Exact 2-sided) unless indicated. b Ordinal regression analyses. c Kruskal-Wallis test. Missing values: d n = 2; e n = 3. d, e Not included in the ordinal regression analyses

Factors associated with gender, high HbA1c, systolic blood pressure and cardiovascular complications

Positive associations with women were found for abdominal obesity AOR 8.6 (3.9–19.0), P < 0.001; and HDL (per mmol/l) AOR 6.1 (2.7–13.6), P < 0.001. Negative associations with women were found for diastolic blood pressure (per mm Hg) AOR 0.91 (0.87–0.95), P < 0.001; and age (per year) AOR 0.97 (0.94–0.99), P = 0.005. Systolic blood pressure, TC and anti-hypertensive drugs were not associated with women (all P >  0.21). Nagelkerke R Square: 0.277. Hosmer and Lemeshow Test: 0.034. The associations with HbA1c > 70 mmol/mol (> 8.6%) were for abdominal obesity AOR 2.7 (1.4–5.4), P = 0.004; triglycerides (per mmol/l) AOR 1.7 (1.1–2.5), P = 0.010; and for diastolic blood pressure (per mm Hg) AOR 1.04 (1.00–1.08), P = 0.090. HDL, TC, age, physical inactivity, and LDL were not associated with HbA1c > 70 mmol/mol (all P >  0.16). Nagelkerke R Square: 0.137. Hosmer and Lemeshow Test: 0.782. The B-coefficients for the associations with systolic blood pressure were for age 0.24 (0.13–0.34), P < 0.001; anti-hypertensive drugs 6.5 (3.9–9.2), P < 0.001; triglycerides (per mmol/l) 2.0 (0.4–3.6), P = 0.014; men 4.0 (1.6–6.4), P = 0.001; and for abdominal obesity 4.0 (0.8–7.3), P = 0.014. Lipid-lowering drugs (P = 0.73) and diabetes duration (P = 0.99) were not associated with systolic blood pressure. Adjusted R Square 0.276, P < 0.001. Associations with cardiovascular complications were for age (per year) AOR 1.18 (1.05–1.32), P = 0.006; abdominal obesity AOR 5.5 (1.4–22.0), P = 0.017; and for LDL (per mmol/l) AOR 0.3 (0.1–1.1), P = 0.071. Lipid-lowering drugs, anti-hypertensive drugs and diabetes duration were not associated with cardiovascular complications (all P > 0.34). Nagelkerke R Square: 0.309. Hosmer and Lemeshow Test: 0.978.

Comparisons of patients with and without CRP measurements – A response analysis

The prevalence of abdominal obesity was lower in the 171 patients with hs-CRP measurements than in the patients without hs-CRP measurements (13% vs 24%, P = 0.024). Otherwise, they did not differ by medians for age (P = 0.10), diabetes duration (P = 0.52), diastolic blood pressure (P = 0.52), systolic blood pressure (P = 0.66), HDL (P = 0.49), LDL (P = 0.50), triglycerides (P = 0.70), TC (P = 0.79); or by prevalence of anti-hypertensive drugs (P = 0.124), physical inactivity (P = 0.33), severe hypoglycemia episodes (P = 0.38), HbA1c > 70 mmol/mol (P = 0.48), lipid-lowering drugs (P = 0.72), cardiovascular complications (P = 0.74), or smoking (P = 0.84).

Discussion

In this cross-sectional study of abdominal obesity in 284 persons with T1D, age 18–59 years, consecutively recruited from one secondary care specialist diabetes clinic, we found that cardiovascular complications, women, increasing risk levels of hs-CRP, systolic blood pressure, marked inadequate glycemic control (HbA1c > 70 mmol/mol), and triglycerides were independently associated with abdominal obesity. Inadequate glycemic control, systolic blood pressure, increasing risk levels of hs-CRP, were in addition to abdominal obesity, also associated with triglycerides. Less patients with abdominal obesity reached the treatment targets recommended by the Swedish National Board of Health and Welfare for glycemic control (HbA1c ≤ 52 mmol/mol) and systolic blood pressure (≤ 130 mmHg), and no patients with abdominal obesity reached all treatment targets for TC, LDL, and blood pressure [22]. Strengths of our study are first that the population of patients with T1D was well-defined, since persons with severe comorbidities and severe substance abuse were excluded. Second, hs-CRP levels above 10 mg/l were excluded, and the CRP values were divided into 3 groups with low-, moderate- or high-risk for future cardiovascular events, as have been recommended in previous research [19]. Also, we performed a response analysis and explored whether persons with and without hs-CRP measurements differed. The patients with hs-CRP measurements had lower prevalence of abdominal obesity, otherwise they did not differ for any variable included in this study. Third, we explored interactions between the included metabolic variables. The main limitation of our study was the rather small number of obese persons, particularly when gender sub analyses were performed. There are several possible type 2 errors. The association between the use of lipid-lowering drugs and abdominal obesity did not reach significance. The prevalence of both lipid-lowering drugs and anti-hypertensive drugs in patients with cardiovascular complications was high, but the associations were not significant. Second, the number of hs-CRP values measurements was limited, as we decided not to include hs-CRP measurements stored for more than 1 year. Despite the limited number of hs-CRP measurements and the lower prevalence of obesity in persons with hs-CRP measurements, the moderate and high-risk-levels of hs-CRP were strongly associated with abdominal obesity and triglyceride levels. We have previously shown an association between alexithymia and abdominal obesity in this sample of patients with T1D [25]. In this study, we demonstrated the impact of abdominal obesity in T1D by the associations with cardiovascular complications, marked impaired glycemic control, low-grade inflammation, systolic blood pressure and triglycerides, all risk factors for future cardiovascular complications [1, 8–12, 14, 18]. We found a link between impaired glycemic control and raised triglycerides, which is in accordance with findings in patients with T2D [9]. Women with T1D are at a higher risk for atherosclerosis and cardiovascular death than men [1, 2]. One explanatory factor might be the noticeably higher prevalence of abdominal obesity in the women compared to the men with T1D, demonstrated in this study and in previous research [5, 25]. The prevalence of general obesity was almost twice as high in the women with T1D compared to women in the general Swedish population [7]. The reasons for the excessive abdominal obesity prevalence in women with T1D were not explained by this study, and further research of this subject is suggested. Apart from abdominal obesity, the only positive association with women was higher HDL, which is not a risk factor for cardiovascular disease according to previous research [13]. Another gender difference noted was that the men had higher blood pressure than the women, which is in accordance with previous research [34]. The prevalence of high systolic blood pressure (> 130 mmHg) was significantly higher in patients using anti-hypertensive drugs than in non-users, and the treatment target for systolic blood pressure was not obtained for a large proportion of persons using anti-hypertensive drugs. Weight reduction might help to reduce systolic blood pressure [35]. There is evidence that low-density lipoprotein (LDL) is a causal agent in the atherothrombotic process [8]. The use of lipid-lowering drugs is associated with a lower risk for cardiovascular disease and death [14]. Patients in this study using lipid-lowering drugs were successful in reaching the treatment goals for LDL more often than non-users. Improved treatment with lipid-lowering drugs is therefore suggested for patients with T1D and high LDL, in addition to weight reduction. Due to the described detrimental effects of obesity in T1D, it is necessary to try new ways to both prevent and treat obesity. Reports of beneficial effects on weight and HbA1c have been reported for sodium-glucose cotransporter (SGLT2) inhibitors and glucagon-like peptide-1 (GLP-1) analogues [36]. Structured nutrition therapy, including reduced energy intake, lower total carbohydrate intake, and carbohydrates with lower glycemic index, has been recommended in combination with aerobic and resistance exercises [37]. As alexithymia was associated with abdominal obesity [25], psychoeducation aiming at increased emotional awareness could also be tried [28].

Conclusions

Significant associations between abdominal obesity and both cardiovascular disease and cardiovascular risk factors were found in 284 patients with T1D. Low-grade inflammation, increased systolic blood pressure, inadequate glycemic control, and increased triglycerides were linked with abdominal obesity. The obesity prevalence was particularly high in women. Action against obesity is urgent to prevent cardiovascular complications in patients withT1D.
  34 in total

Review 1.  Regulation of complement activation by C-reactive protein.

Authors:  C Mold; H Gewurz; T W Du Clos
Journal:  Immunopharmacology       Date:  1999-05

Review 2.  Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes.

Authors:  Nathalie Esser; Sylvie Legrand-Poels; Jacques Piette; André J Scheen; Nicolas Paquot
Journal:  Diabetes Res Clin Pract       Date:  2014-04-13       Impact factor: 5.602

Review 3.  Triglyceride-Rich Lipoproteins and Atherosclerotic Cardiovascular Disease: New Insights From Epidemiology, Genetics, and Biology.

Authors:  Børge G Nordestgaard
Journal:  Circ Res       Date:  2016-02-19       Impact factor: 17.367

4.  Glycemic and risk factor control in type 1 diabetes: results from 13,612 patients in a national diabetes register.

Authors:  Katarina Eeg-Olofsson; Jan Cederholm; Peter M Nilsson; Soffia Gudbjörnsdóttir; Björn Eliasson
Journal:  Diabetes Care       Date:  2007-03       Impact factor: 19.112

5.  The effect of type 1 diabetes mellitus on the gender difference in coronary artery calcification.

Authors:  H M Colhoun; M B Rubens; S R Underwood; J H Fuller
Journal:  J Am Coll Cardiol       Date:  2000-12       Impact factor: 24.094

6.  Depression, obesity, and smoking were independently associated with inadequate glycemic control in patients with type 1 diabetes.

Authors:  Eva O Melin; Maria Thunander; Ralph Svensson; Mona Landin-Olsson; Hans O Thulesius
Journal:  Eur J Endocrinol       Date:  2013-05-02       Impact factor: 6.664

7.  Association Between Use of Lipid-Lowering Therapy and Cardiovascular Diseases and Death in Individuals With Type 1 Diabetes.

Authors:  Christel Hero; Araz Rawshani; Ann-Marie Svensson; Stefan Franzén; Björn Eliasson; Katarina Eeg-Olofsson; Soffia Gudbjörnsdottir
Journal:  Diabetes Care       Date:  2016-04-18       Impact factor: 19.112

8.  Estimating the proportion of metabolic health outcomes attributable to obesity: a cross-sectional exploration of body mass index and waist circumference combinations.

Authors:  Stephanie K Tanamas; Viandini Permatahati; Winda L Ng; Kathryn Backholer; Rory Wolfe; Jonathan E Shaw; Anna Peeters
Journal:  BMC Obes       Date:  2016-01-29

9.  Affect school and script analysis versus basic body awareness therapy in the treatment of psychological symptoms in patients with diabetes and high HbA1c concentrations: two study protocols for two randomized controlled trials.

Authors:  Eva O Melin; Ralph Svensson; Sven-Åke Gustavsson; Agneta Winberg; Ewa Denward-Olah; Mona Landin-Olsson; Hans O Thulesius
Journal:  Trials       Date:  2016-04-27       Impact factor: 2.279

10.  Changes in waist circumference and the prevalence of abdominal obesity during 1994-2008 - cross-sectional and longitudinal results from two surveys: the Tromsø Study.

Authors:  Bjarne K Jacobsen; Nils Abel Aars
Journal:  BMC Obes       Date:  2016-09-21
View more
  11 in total

Review 1.  Strategically Playing with Fire: SGLT Inhibitors as Possible Adjunct to Closed-Loop Insulin Therapy.

Authors:  Melissa-Rosina Pasqua; Michael A Tsoukas; Ahmad Haidar
Journal:  J Diabetes Sci Technol       Date:  2021-09-24

2.  Rotator Cuff Lesion and Obesity: A Demographic and Metabolic Evaluation.

Authors:  Saulo Teixeira Pansiere; Arlane Carvalho de Oliveira; Alberto de Castro Pochini; Benno Ejnisman; Paulo Santoro Belangero; Carlos Vicente Andreoli
Journal:  Rev Bras Ortop (Sao Paulo)       Date:  2022-01-27

3.  Impact of Obesity on Measures of Cardiovascular and Kidney Health in Youth With Type 1 Diabetes as Compared With Youth With Type 2 Diabetes.

Authors:  Kalie L Tommerdahl; Karl Baumgartner; Michal Schäfer; Petter Bjornstad; Isabella Melena; Shannon Hegemann; Amy D Baumgartner; Laura Pyle; Melanie Cree-Green; Uyen Truong; Lorna Browne; Judith G Regensteiner; Jane E B Reusch; Kristen J Nadeau
Journal:  Diabetes Care       Date:  2021-01-05       Impact factor: 19.112

4.  Soluble CD163 was linked to galectin-3, diabetic retinopathy and antidepressants in type 1 diabetes.

Authors:  Eva O Melin; Jonatan Dereke; Maria Thunander; Magnus Hillman
Journal:  Endocr Connect       Date:  2018-12       Impact factor: 3.335

5.  Obstetric and perinatal outcomes in pregnancies complicated by diabetes, and control pregnancies, in Kronoberg, Sweden.

Authors:  Anna Stogianni; Lena Lendahls; Mona Landin-Olsson; Maria Thunander
Journal:  BMC Pregnancy Childbirth       Date:  2019-05-07       Impact factor: 3.007

6.  Midnight salivary cortisol secretion and the use of antidepressants were associated with abdominal obesity in women with type 1 diabetes: a cross sectional study.

Authors:  Eva Olga Melin; Magnus Hillman; Maria Thunander; Mona Landin-Olsson
Journal:  Diabetol Metab Syndr       Date:  2019-10-30       Impact factor: 3.320

7.  The contribution of syndemic conditions to cardiovascular disease risk.

Authors:  Violeta J Rodriguez; Antonio Chahine; Manasi S Parrish; Maria L Alcaide; Tae Kyoung Lee; Barry Hurwitz; Manisha Sawhney; Stephen M Weiss; Deborah L Jones; Mahendra Kumar
Journal:  AIDS Care       Date:  2020-05-13

8.  Inhibition of autophagy promoted high glucose/ROS-mediated apoptosis in ADSCs.

Authors:  Qiang Li; Yating Yin; Yuqing Zheng; Feifei Chen; Peisheng Jin
Journal:  Stem Cell Res Ther       Date:  2018-10-25       Impact factor: 6.832

9.  Female sex, high soluble CD163, and low HDL-cholesterol were associated with high galectin-3 binding protein in type 1 diabetes.

Authors:  Eva Olga Melin; Jonatan Dereke; Magnus Hillman
Journal:  Biol Sex Differ       Date:  2019-11-21       Impact factor: 5.027

10.  A SGLT2 Inhibitor Dapagliflozin Alleviates Diabetic Cardiomyopathy by Suppressing High Glucose-Induced Oxidative Stress in vivo and in vitro.

Authors:  Yu-Jie Xing; Biao-Hu Liu; Shu-Jun Wan; Yi Cheng; Si-Min Zhou; Yue Sun; Xin-Ming Yao; Qiang Hua; Xiang-Jian Meng; Jin-Han Cheng; Min Zhong; Yan Zhang; Kun Lv; Xiang Kong
Journal:  Front Pharmacol       Date:  2021-07-12       Impact factor: 5.810

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.