Trends in diabetes prevalence, awareness, treatment, and control in French-speaking Switzerland

Diabetes is increasing in Switzerland, but whether its management has improved is unknown. We aimed to assess diabetes prevalence, diagnosis, treatment, and control in French-speaking Switzerland. Our study used cross-sectional data for years 2005–2019 from a population-based study in Geneva, Switzerland. Overall prevalence (self-reported diagnosis and/or fasting plasma glucose level ≥ 7 mmol/L), diagnosed, treated (among diagnosed participants) and controlled diabetes (defined as a fasting plasma glucose FPG < 6.7 mmol/L among treated participants) were calculated for periods 2005–9, 2010–4 and 2015–9. Data from 12,348 participants (mean age ± standard deviation: 48.6 ± 13.5 years, 51.7% women) was used. Between 2005–9 and 2015–9, overall prevalence and frequency of diagnosed diabetes decreased (from 8.7 to 6.2% and from 7.0 to 5.2%, respectively). Among participants diagnosed with diabetes, treatment and control rates did not change from 44.1 to 51.9%, p = 0.251 and from 30.2 to 34.0%, p = 0.830, respectively. A trend towards higher treatment of participants with diabetes was found after multivariable adjustment, while no changes were found for overall prevalence, diagnosis, nor control. Among antidiabetic drugs, percentage of combinations increased from 12 to 23%; percentage of sulfonylureas and biguanides decreased from 15 to 6% and from 63 to 54%, respectively, while no trend was found for insulin. After multivariable analysis, women with diabetes were less likely to be treated but more likely to be controlled, the opposite association being found for obesity. In conclusion, in Canton Geneva, antidiabetic combination therapy is gaining importance, but only half of participants diagnosed with diabetes are treated, and glycaemic control remains poor.


Diabetes information
Fasting plasma blood samples were collected and glucose levels were assayed using commercially available enzymatic kits (Bayer Technicon Diagnostics, CV 1.4%).
Diagnosed diabetes was defined as the participants reporting themselves as being diagnosed with diabetes.Diabetes prevalence was defined as a fasting plasma glucose level ≥ 7 mmol/L and/or being diagnosed with diabetes.Treated diabetes was defined among participants diagnosed with diabetes as the presence of any antidiabetic drug.Controlled diabetes was defined among participants treated for diabetes as a fasting plasma glucose level < 6.7 mmol/L.Antidiabetic drugs were self-reported and categorized into sulfonylureas, biguanides, insulin, others [thiazolidines, sulphonamides, sodium-glucose cotransporter-2 (SGLT-2) inhibitors, dipeptidyl peptidase 4 (DPP4) inhibitors and glucagon-like peptide 1 (GLP-1) agonists] and combinations (medicines containing any two or more of the previous categories).

Covariates
Socio-demographic data were self-reported.Nationality was categorized as Swiss and other.Marital status was categorized as single, married or in couple, divorced, and widowed.Educational level was categorized into primary, secondary, and tertiary.Smoking status was categorized as never, former (irrespective of the time since quitting) and current.Personal history of cardiovascular disease (CVD) was categorized as present/absent.
Height and weight were measured with participants in light clothes using standard procedures.Body mass index (BMI) was calculated and categorized as normal (< 25 kgm 2 ), overweight (≥ 25 and < 30 kg/m 2 ) and obese (≥ 30 kg/m 2 ).Blood pressure (BP) was measured thrice in the sitting position on the right arm after at least 10 min rest using a standard protocol and a validated automated oscillometric sphygmomanometer.Hypertension was defined as a systolic BP ≥ 140 mm Hg and/or a diastolic BP ≥ 90 mm Hg and/or self-reported information of antihypertensive drug therapy.

Exclusion criteria
Participants were excluded if they a) missed any data about diabetes awareness and/or antidiabetic drug medication; b) had missing information for any covariate.

Statistical analysis
Descriptive results were presented as number of participants (percentage) for categorical variables or mean ± standard deviation for continuous variables.Bivariate analyses were performed using the chi-square test for categorical variables and the student's t-test for continuous variables.Multivariable analysis was performed using logistic regression overall and stratified by gender, and the results were presented as odds ratio (OR) and 95% confidence interval (CI).Possible interactions between gender and BMI categories, hypertension, and history of CVD were also assessed.Statistical analyses were conducted using Stata version 17.0 for windows (Stata Corp, College Station, Texas, USA) and statistical significance was determined with p < 0.05 in a two-sided test.

Ethical statement
The Bus Santé study was approved by the local institutional review board (Commission Cantonale d'Ethique de la Recherche de Genève; IRB00003116).All research was performed in accordance with the relevant guidelines and regulations.All participants provided written informed consent 20 .

Characteristics of participants
Comparison of the factors between included and excluded participants is summarized in Supplementary Table 1.Included participants were younger, had a lower BMI, and were more likely to have dyslipidaemia compared to excluded participants.The characteristics according to gender are summarized in Table 1.Women presented with a lower educational level, were more frequently of Swiss nationality, divorced, never smokers, with normal weight, and presented less frequently with hypertension or history of CVD.www.nature.com/scientificreports/frequently former smokers, had a higher BMI and a higher frequency of obesity, hypertension, dyslipidaemia, and history of CVD.Among participants diagnosed with diabetes, participants reporting being treated were less frequently women, were older, had a lower educational level, a higher BMI and a higher frequency of obesity, hypertension, and history of CVD (Table 3).
Among participants treated for diabetes, participants achieving adequate control were more frequently women and less frequently obese, while no significant difference was found for the other covariates (Table 3).
The results of the multivariable analysis of the factors associated with diabetes prevalence, awareness, treatment, and control are summarized in Table 4. Being a woman, increased educational level and being a Swiss national were negatively associated, while increased age, increased BMI, smoking, presence of hypertension or personal history of CVD were positively associated with diabetes prevalence.Similar findings were observed for diagnosis of diabetes, although being a woman, Swiss nationality or smoking status were no longer statistically relevant.
Being a woman was negatively associated with treatment of diabetes.Increased age, obese BMI, presence of hypertension or personal history of CVD were positively associated with treatment of diabetes.Being a woman was positively associated with diabetes control, while increased BMI was negatively associated with diabetes control.
Comparable findings were obtained when the analysis was stratified by gender (Supplementary Tables 2 and 3 for men and women, respectively), although several associations were no longer significant.Interaction analysis showed that women with hypertension had a higher likelihood of presenting with diabetes, being diagnosed, treated, and controlled than men, while men with history of CVD had a higher likelihood of presenting with diabetes than women; no significant interaction was found for BMI categories.
Multivariable analysis including dyslipidaemia is summarized in Supplementary Table 4. Presence of dyslipidaemia was positively associated with diabetes prevalence and awareness.After adjusting for dyslipidaemia, the association between diabetes prevalence and increased educational level or smoking was no longer statistically significant.After adjusting for dyslipidaemia, being a woman was additionally negatively associated with diagnosis of diabetes, while the association with educational level was no longer statistically significant.After adjusting for dyslipidaemia, divorced marital status was additionally positively associated with treatment of diabetes, while the association with presence of personal history of CVD was no longer statistically significant.After adjusting for dyslipidaemia, diabetes control remained positively associated with women gender and negatively associated with increased BMI.

Antidiabetic drugs
Trends in antidiabetic drugs expressed as percentage of all antidiabetic drugs are summarized overall and for each gender in Fig. 1.Percentage of antidiabetic combinations increased from 12% in 2005-9 to 23% in 2015-9.Percentage of sulfonylureas and biguanides decreased between 2005-9 and 2015-9 (15-6% for sulfonylureas and 63-54% for biguanides).Trends for insulin and other drugs were inconsistent.Similar findings were observed when the analysis was stratified by gender.

Discussion
This study aimed to assess diabetes prevalence, diagnosis, treatment, and control in the adult population of French-speaking Switzerland.Our results suggest that treatment and control rates among people with diabetes remain low and that the combination of different antidiabetic drugs is increasingly used in the treatment of diabetes.

Diabetes prevalence and awareness
Our results suggest that overall diabetes prevalence and awareness have decreased.Our findings do not replicate the global increasing trends in diabetes prevalence and incidence of the last decades 1 .Nevertheless, our findings are in agreement with data from some high-income countries, where diabetes incidence has been stable or decreasing for the last years 21 .A possible explanation could be the increase in physical activity levels of the Swiss population, as in 2017, almost three-quarters of the population complied with physical activity recommendations, a 14% increase from 2002 22 .Still, a recruitment bias cannot be excluded, through participation of more health-conscious people.It would thus be important to confirm our findings in other population-based surveys.
Dyslipidaemia and hypertension were positively associated with prevalence and diagnosis of diabetes.Those findings show that CVD risk factors tend to cluster among diabetic patients 23 , and that presence of one risk factor prompts the physician to search for the other ones.

Treatment and control of diabetes
Among participants diagnosed with diabetes, treatment and control rates did not change.Only one-third (34%) of treated participants was controlled, a lower rate than in a study conducted in 16 European countries, where 65.2% achieved the HbA 1 c target of < 7.0% 4 .The difference could be partly explained by the different definitions and thresholds for controlled diabetes (target of fasting plasma glucose level < 6.7 mmol/L in our study vs. HbA 1 c < 7.0% in the European study) 24 .The reasons for such a low control rate could be due to clinical inertia, participants with diabetes and their doctors not complying with treatment or not willing to intensify it 25,26 .It would be important that future studies assess compliance to treatment, by for example studying drug prescriptions.
After multivariable analysis, women with diabetes were less likely to be treated but more likely to be controlled.Findings of previous studies on gender differences in the treatment and control of diabetes are Vol:.(1234567890 inconsistent.Several studies conducted in Iran, China and the EU reported that both genders were equally treated for diabetes [27][28][29] .Regarding control levels, an Iranian study reported that women were more likely to achieve diabetes control 27 ; the opposite was reported by a Chinese and an European study 28,29 , while a Pakistani study reported that both genders had similar control levels 30 .The reasons for a lower treatment rate among women diagnosed with diabetes are currently unknown and should be further assessed.Possible explanations include the underestimation of diabetes severity in women, lack of staff for patient education, doctors' lack of updated knowledge, or patients' lack of willingness to be treated 31,32 .After multivariable analysis, obese participants with diabetes were more likely to be treated but less likely to be controlled.Those findings are in agreement with a previous study, where high BMI was a strong predictor of receiving antidiabetic treatment 33 .As obesity is frequently associated with concomitant diseases such as cardiovascular diseases and cancer 34 , doctors might feel more compelled to prescribe treatment.However, treatment of obese patients with diabetes is complicated by metabolic and drug interactions that could prevent glycaemic control 35 .

Trends in antidiabetic drugs
Use of antidiabetic combinations increased, while use of sulfonylureas and biguanides decreased.The trend of combination therapy has not been studied frequently, but increased use has been noted previously 15 .Sulfonylureas and biguanides are the oldest noninsulin injectable antidiabetic agents 36 .In previous studies, use of sulfonylureas decreased similarly, but contrary to our results, use of metformin (biguanide) increased 13,15,17 .
In our study, no trend was found for insulin and other drugs.Contrary to our results, insulin use increased in several other studies 12,13,15,17 38 .Although some drugs were relatively new, others could have been prescribed for almost 10 years as it is the case for GLP-1 agonists, or for five years for some SGLT-2 inhibitors.Overall, our results suggest that physicians in Geneva appear to be reluctant to prescribe the newest antidiabetic drugs.Whether such attitude is due to clinical inertia or to a constraint by health insurances (as the newest antidiabetic drugs are more expensive and thus less likely to be reimbursed) remains to be assessed.

Clinical implications
Our results suggest that certain subgroups of individuals with diabetes are more likely to be treated or to achieve diabetes control.Particular attention should be paid to patients with high BMI, who are more likely to have long-term hyperglycaemia and are therefore at higher risk of adverse diabetes-related complications.Efforts to increase diabetes control should be implemented among patients and their physicians, as inadequately controlled diabetes leads to increased health and economic costs 39,40 .
Combination therapy progressively replaced sulfonylureas and biguanides.Newer antidiabetic drugs such as SGLT-2 inhibitors and GLP-1 receptor agonists were less prescribed.These drugs reduce cardiovascular and renal damage and could be of great benefit to participants with diabetes 41 .Hence, it would be important that doctors be made aware of these benefits, and that health insurers accept to reimburse the drugs 42 .

Strengths and limitations
This study has several strengths.Firstly, it assessed four important parameters of diabetes management in Switzerland (prevalence, awareness, treatment, and control), and at three different time points.Secondly, it assessed the parameters' association with a broad spectrum of socio-demographic variables allowing better understanding of the factors that hinder or promote optimal diabetes management.
This study also has several limitations.Firstly, it was conducted in a single location, so the results may not be transferable to other environments.Secondly, antidiabetic drugs were self-reported.Self-report has overestimated medication adherence in the past 43 .Consequently, the overall results might be overoptimistic, and the true status of antidiabetic drug use might actually be worse than reported.Still, self-reporting should not affect the differences between groups and associations with different factors.Thirdly, the sample size might not be sufficient to detect minor differences in the association of the factors with diabetes prevalence, awareness, treatment, and control.Still, such small differences could be clinically irrelevant.Fourthly, no information regarding history of childbearing or gestational diabetes was available for women; hence, we could not adjust for those potential confounders.Finally, the sample size resulted low when adjusting for dyslipidaemia because participants lacked data for dyslipidaemia status.Still, only few of the significant results changed after multivariable analysis leaving out dyslipidaemia status.

Conclusion
In canton Geneva, trends in drug prescription are changing, with combination therapy gaining importance.However, only about half of participants diagnosed with diabetes receive antidiabetic treatment, and only one third of participants treated for diabetes are controlled, with no significant improvements in the last 10 years.

Table 1 .
Characteristics of the sample, by gender, overall and stratified by gender.BMI body mass index, CVD cardiovascular disease.Results are expressed as number of participants (column percentage) for categorical variables and as average ± standard deviation for continuous variables.Comparisons between genders performed using chi-square for categorical variables and student's t-test for continuous variables.

Table 2 .
Trends in diabetes prevalence, awareness, treatment and control, Bus Santé study, Geneva, Switzerland (2005-2019), overall and stratified by gender.Results are expressed as number of participants and (percentage).For treatment, the denominator is the number of participants diagnosed with diabetes; for control, the denominator is the number of participants reporting being treated.Trends were assessed using logistic regression.

Table 3 .
Bivariate analysis of the factors associated with diabetes prevalence, awareness, treatment and control, Bus Santé study, Geneva, Switzerland(2005-2019). BMI body mass index, CVD cardiovascular disease.Results are expressed as number of participants (column percentage) for categorical variables and as average ± standard deviation for continuous variables.Comparisons between groups within each status (prevalence, diagnosis, treatment, and control) performed using chi-square for categorical variables and student's t-test for continuous variables.§, among participants diagnosed with diabetes; †, among participants treated for diabetes.Vol.:(0123456789) Scientific Reports | (2024) 14:4839 | https://doi.org/10.1038/s41598-024-54856-6