ORIGINAL ARTICLE

Int. J. Public Health, 23 January 2024

Volume 69 - 2024 | https://doi.org/10.3389/ijph.2024.1606790

Public Expectations and Needs Related to Type 2 Diabetes Prevention: A Population-Based Cross-Sectional Study in Poland

  • School of Public Health, Centre of Postgraduate Medical Education, Warsaw, Poland

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Abstract

Objective: This study aimed to understand the public’s expectations regarding type 2 diabetes prevention and to identify factors associated with willingness to participate in preventive activities among adults in Poland.

Methods: A cross-sectional survey was carried out using a computer-assisted web interview (CAWI) on a representative sample of 1,046 adults in Poland. A non-probability quota sampling method was used. A study tool was a self-prepared questionnaire.

Results: Most respondents (77.3%) declared willingness to participate in preventive activities. Consultation with a diabetologist (75.1%) or family doctor consultation (74.9%) were the most often selected. Lifestyle interventions in the form of dietary and culinary workshops (58.1%) were the least chosen. Having higher education (OR = 3.83, 1.64–8.94, p = 0.002), chronic diseases (OR = 1.36, 1.01–1.85, p = 0.04), and a history of diabetes in the family (OR = 1.67, 1.21–2.30, p = 0.002) were significantly associated with a higher interest in type 2 diabetes prevention.

Conclusion: The adults in Poland are keen on participating in diabetes prevention programs, mostly those based on medical counselling rather than lifestyle-oriented interventions. Educational level was the most important factor associated with willingness to participate in type 2 diabetes prevention.

Introduction

Type 2 diabetes, a prevalent chronic disease, imposes a substantial burden on individuals and societies worldwide, resulting in multifaceted health, social, and economic costs. The prevalence of type 2 diabetes has reached pandemic proportions, with an estimated global prevalence of 9.3% in 2019, affecting over 463 million people, and is projected to rise to 10.9% by 2045 [1]. The health-related consequences of type 2 diabetes encompass a range of complications, including cardiovascular disease, neuropathy, nephropathy, and retinopathy, all of which contribute to reduced quality of life and increased mortality rates [1].

Beyond the direct health impact, type 2 diabetes exerts substantial social and economic costs [2, 3]. It necessitates ongoing medical care, including medication and monitoring, straining healthcare systems and increasing healthcare expenditures [2]. Furthermore, individuals with type 2 diabetes often experience reduced productivity and missed workdays due to illness and medical appointments, affecting their economic wellbeing and placing a financial burden on society [3].

The preventable nature of type 2 diabetes underscores the pivotal role of patient involvement in effective diabetes prevention strategies [1, 4]. Recent research has demonstrated that lifestyle modifications, including dietary improvements, increased physical activity, and weight management, can significantly reduce the risk of developing type 2 diabetes among high-risk individuals [4, 5]. These interventions necessitate active patient engagement, demanding sustained behavioral changes and adherence to health-promoting practices. Patient involvement extends beyond mere compliance with medical recommendations; it encompasses education, empowerment, and self-management skills, all of which are integral to the success of diabetes prevention efforts [6]. Encouraging individuals to take an active role in their health and providing them with the necessary tools and support to make informed decisions and sustain healthy lifestyles are paramount in the fight against type 2 diabetes.

There is an increasing recognition of the need to take measures to reduce the risk, detect early, and limit the consequences of type 2 diabetes. Diabetes prevention has become a priority at the global [7], regional [8], and national levels.

In Poland, central and local authorities are taking action to prevent diabetes under The National Health Programme 2021–2025 [9]. Nonetheless, type 2 diabetes prevalence in Poland is on the rise [10]. It is estimated that the number of patients diagnosed with diabetes exceeds 2.5 million [11], and up to a million are unaware of the diagnosis [12].

Preventing type 2 diabetes involves two main strategies: primary and secondary prevention. Primary prevention aims to reduce the occurrence and progression of the condition in individuals without diabetes who are at risk due to factors such as obesity, physical inactivity, and poor dietary habits [13]. Lifestyle modification programs are crucial in primary prevention, focusing on behavioural changes like healthy eating, regular exercise, and weight management to lower the risk of developing type 2 diabetes [14]. Secondary prevention involves early detection of the disease in seemingly healthy individuals who have subclinical forms of diabetes. Secondary prevention strategies often involve targeted [15] or opportunistic [16] screening (mainly blood sugar testing) and advice or counselling provided by medical professionals (i.e., brief intervention) [17].

Barriers to effective preventive actions include organizational issues such as administrative or financial limitations [18, 19], as well as participants’ dependent factors that limit attendance in offered activities [20, 21]. The importance of determining the scope/method of intervention following participant expectations and capabilities [22] and selecting the appropriate outreach [23] strategies to reach the proper target population was underlined.

Therefore, the objective of this study was to characterize public expectations and needs relating to type 2 diabetes prevention and identify factors associated with willingness to participate in activities aimed at type 2 diabetes prevention among adults in Poland as determinants of the effectiveness of preventive measures.

Methods

Study Design and Sample

This cross-sectional study was conducted between 15 and 18 September 2023 on a representative sample of 1,046 adults in Poland.

Data were collected using a computer-assisted web interview (CAWI) technique by the professional public opinion research company (Nationwide Research Panel Ariadna, Warsaw, Poland), which acted on behalf of the research team [24]. The participants in the survey were chosen from a pool of over 100,000 registered and verified individuals who actively participate in web-based surveys conducted by the public opinion research company [24]. A non-probability quota sampling method was used, with a stratification model that accounted for variables such as gender, age, size, and location of the place of residence. This stratification was based on sociodemographic datasets collected and published by the Central Statistical Office of the Republic of Poland in Warsaw. Similar methods were used in previous population-based cross-sectional studies in Poland [25, 26].

This study was approved by the Ethical Review Board at the Centre of Postgraduate Medical Education, decision number 404/2023 as of 23 August 2023.

Participants and Public Involvement

Participants in this study were not involved in developing the design or recruitment. Results will be disseminated via publication in an open-access journal.

Measures

The questionnaire was self-prepared and based on a literature review [1520]. The study questionnaire included ten questions on public health interventions related to type 2 diabetes prevention. Additionally, questions on sociodemographic characteristics were addressed. A pilot survey was carried out. A group of 11 adults (aged from 19 to 73 years) filled out the questionnaire twice, 7 days apart. Responses from the pilot survey were analyzed and two questions (including answer options) were modified to clarify the text.

Willingness to participate in activities aimed at type 2 diabetes prevention: Respondents were asked about their willingness to participate in activities aimed at type 2 diabetes prevention, using the question: „Would you like to take advantage of activities aimed at preventing type 2 diabetes?” with a 5-point Likert scale.

Public interest in various activities aimed at type 2 diabetes prevention: Respondents were asked about their interest in various activities aimed at type 2 diabetes prevention, using the question: “Which activities aimed at type 2 diabetes prevention would you like to take advantage of?” with ten mutually nonexclusive answers. Respondents were asked to select “yes” or “no” for each answer choice.

Health status: Respondents were asked about their health status, using the following questions: “Has ever doctor said that you had diabetes?” (If yes, which type of diabetes you had diagnosed: type 1, type 2, gestational diabetes, other types of diabetes, I do not remember), and “Do you have chronic diseases or health problems lasting at least 6 months (yes/no). Moreover, respondents were asked about the history of diabetes in the family, using the question: “Does anyone in your immediate family have diabetes (e.g., children, parents, siblings, grandparents)?” (yes/no).

Sociodemographic characteristics included gender, age, educational level, marital status, having children, place of residence, number of household members, occupational status (active—currently employed or self-employed or passive—unemployed, retired, student), and self-declared financial status.

Data Analysis

Data were analyzed using SPSS package version 28 (IBM, Armonk, NY, USA). The distribution of categorical variables was presented with frequencies and proportions. Cross-tabulations and chi-square tests were used to compare categorical variables. The statistical significance level was set at p < 0.05.

Results

Characteristics of the Study Population

This study is based on responses from 1,046 adults in Poland (53.4% were females). Among the respondents, 43.6% had chronic diseases, and 14.1% were diagnosed with diabetes (Table 1). Over one-third of respondents (36.7%) declared a history of diabetes in the immediate family (Table 1).

TABLE 1

VariableTotal sample N = 1,046
n%
Gender
 Female55953.4
 Male48746.6
Age (years)
 18–2917917.1
 30–3923022.0
 40–4918017.2
 50–5912211.7
 60+33532.0
Educational level
 Primary252.4
 Vocational1029.8
 Secondary45043.0
 Higher46944.8
Marital status
 Single28026.8
 Married55252.8
 Informal relationship17316.5
 Divorced/widowed413.9
Having children
 Yes69666.5
 No35033.5
Place of residence
 Rural area37836.1
 City below 20,000 inhabitants12712.1
 City from 20,000 to 99,999 inhabitants21520.6
 City from 100,000 to 499,999 inhabitants19118.3
 City above 500,000 inhabitants13512.9
Number of household members
 117616.8
 236935.3
 3 or more50147.9
Occupational status
 Active59657.0
 Passive45043.0
Financial status
 Good46544.5
 Moderate37135.5
 Bad21020.1
History of diabetes in the family
 Yes38436.7
 No66263.3
Presence of chronic diseases
 Yes45643.6
 No59056.4
Having diabetes diagnosed by a doctor
 Yes14814.1
 No89885.9

Characteristics of the study population (N = 1,046) (Warsaw, Poland, 2023).

Public Expectations and Needs Related to Type 2 Diabetes Prevention

Most of the respondents (77.3%) declared willingness (definitely yes or rather yes) to take advantage of activities aimed at preventing type 2 diabetes (Table 2). Out of 10 different diabetes prevention measures analyzed in this study, having a blood glucose level measurement performed at a pharmacy (75.4%), medical consultation with a diabetologist (75.1%), family doctor consultation (74.9%), dietary consultation (71.8%), and BMI calculation (70.6%) were the most common type 2 diabetes prevention measures expected by public in Poland (Table 2).

TABLE 2

VariableTotal sample N = 1,046
n%
Would you like to take advantage of activities aimed at preventing type 2 diabetes?
 Definitely yes40939.1
 Rather yes40038.2
 Rather no817.7
 Definitely no323.1
 Difficult to tell12411.9
Which activities aimed at type 2 diabetes prevention, would you like to take advantage of? – positive answers
 Blood glucose level measurement performed at a pharmacy78975.4
 Medical consultation with a diabetologist78675.1
 Family doctor consultation78374.9
 Dietary consultation75171.8
 height and weight measurement (BMI calculation)73870.6
 Sports activities67364.3
 Advice on physical activity64561.7
 Consultation with a health educator or nurse63360.5
 Dietary or culinary workshops60858.1
 Outdoor events or stands during special events (e.g., “health picnic”)60257.6

Public expectations and needs related to type 2 diabetes prevention (N = 1,046) (Warsaw, Poland, 2023).

Sociodemographic Differences in Public Expectations Towards Type 2 Diabetes Prevention

There were sociodemographic differences in public expectations towards participation in activities aimed at preventing type 2 diabetes (Table 3). Respondents with higher education (84.0%) more often declared interest in type 2 diabetes prevention measures compared to other educational groups (p < 0.001). The lowest percentage of respondents who declared willingness to participate in activities aimed at preventing type 2 diabetes was observed among respondents who declared being single (68.2%; <0.001). Respondents with a history of diabetes in the family more often declared willingness to participate in activities aimed at preventing type 2 diabetes compared to those without a history of diabetes in the family (82.8% vs. 74.2%; p = 0.001). Moreover, respondents with chronic diseases more often declared interest in type 2 diabetes prevention measures (80.9% vs. 74.6%; p = 0.02) compared to healthy individuals (Table 3).

TABLE 3

VariableWould you like to take advantage of activities aimed at preventing type 2 diabetes? – responses definitely yes or rather yes
Total sample (N = 1,046)
n%p
Gender
 Female43177.10.8
 Male37877.6
Age (years)
 18–2913877.10.8
 30–3917475.7
 40–4914580.6
 50–599678.7
 60+25676.4
Educational level
 Primary1456.0<0.001
 Vocational7371.6
 Secondary32872.9
 Higher39484.0
Marital status
 Single19168.2<0.001
 Married44480.4
 Informal relationship14282.1
 Divorced/widowed3278.0
Having children
 Yes54778.60.2
 No26274.9
Place of residence
 Rural area30279.90.2
 City below 20,000 inhabitants8970.1
 City from 20,000 to 99,999 inhabitants17179.5
 City from 100,000 to 499,999 inhabitants14575.9
 City above 500,000 inhabitants10275.6
Number of household members
 112973.30.2
 229479.7
 3 or more38677.0
Occupational status
 Active46878.50.3
 Passive34175.8
Financial status
 Good37179.80.2
 Moderate27975.2
 Bad15975.7
History of diabetes in the family
 Yes31882.80.001
 No49174.2
Presence of chronic diseases
 Yes36980.90.02
 No44074.6
Having diabetes diagnosed by a doctor
 Yes12081.10.2
 No68976.7

Sociodemographic differences in public expectations towards participation in activities aimed at preventing type 2 diabetes (N = 1,046) (Warsaw, Poland, 2023).

Bold font was used to mark the results that met the statistical significance criteria (p < 0.05).

There were sociodemographic differences in public expectations towards activities aimed at type 2 diabetes prevention (Table 4). Having a family member diagnosed with diabetes had a significant influence on the likelihood of choosing all but one (consultation with a family doctor, p = 0.1) preventive services. Marital status was also linked to significant differences in preferences. Single respondents were less likely to opt for all but two (advice on physical activity, p = 0.3 and sports activities, p = 0.08) preventive actions. People diagnosed with diabetes more often than healthy respondents declared a willingness to participate in 6 out of 10 preventive activities. The self-declared financial status of respondents had no significant influence on their preferences, and the place of residence was linked only with a higher interest in outdoor events or stands during special events (61.1% vs. 48.9% in the biggest cities, p = 0.03).

TABLE 4

VariableDietary consultationDietary or culinary workshopsAdvice on physical activitySports activitiesBMI calculation
n%pn%pn%pn%pn%p
Gender
 Female42475.80.00236164.6<0.00135463.30.237567.10.0440672.60.1
 Male32767.124750.729159.829861.233268.2
Age (years)
 18–2912770.90.911865.90.211765.40.612167.60.0111564.20.2
 30–3916672.213659.114864.316170.016772.6
 40–4912871.110256.710759.412167.212569.4
 50–598670.56553.37359.87964.88368.0
 60+24472.818755.820059.719157.024874.0
Educational level
 Primary1768.00.041560.00.41664.00.41352.00.011560.00.6
 Vocational6260.85251.05553.95352.06967.6
 Secondary32171.326057.827761.628663.631970.9
 Higher35174.828159.929763.332168.433571.4
Marital status
 Single18064.30.0114551.80.0216057.10.316458.60.0816960.4<0.001
 Married41374.832558.934963.236165.441675.4
 Informal relationship12572.310862.411063.612169.912270.5
 Divorced/widowed3380.53073.22663.42765.93175.6
Having children
 Yes51373.70.0540458.00.943662.60.444964.50.951273.60.003
 No23868.020458.320959.722464.022664.6
Place of residence
 Rural area28876.20.222860.30.624364.30.425066.10.727272.00.8
 City below 20,000 inhabitants8970.16853.57357.57659.88466.1
 City from 20,000 to 99,999 inhabitants14868.812357.213160.913462.315270.7
 City from 100,000 to 499,999 inhabitants13470.210756.012263.912565.413671.2
 City above 500,000 inhabitants9268.18260.77656.38865.29469.6
Number of household members
 112168.80.610258.00.810157.40.210861.40.111565.30.3
 226571.821056.922260.222761.526471.5
 3 or more36572.929659.132264.333867.535971.7
Occupational status
 Active42170.60.334758.20.936761.60.941068.8<0.00141669.80.5
 Passive33073.326158.027861.826358.432271.6
Financial status
 Good34073.10.727559.10.529363.00.731467.50.233271.40.9
 Moderate26471.221959.022460.422961.726070.1
 Bad14770.011454.312861.013061.914669.5
History of diabetes in the family
 Yes29576.80.00625265.6<0.00125566.40.0227671.9<0.00128975.30.01
 No45668.935653.839058.939760.044967.8
Presence of chronic diseases
 Yes34675.90.0127560.30.229564.70.0829564.70.832972.10.3
 No40568.633356.435059.337864.140969.3
Having diabetes diagnosed by a doctor
 Yes11879.70.029866.20.0310772.30.0110067.60.411779.10.01
 No63370.551056.853859.957363.862169.2
(Continued on following page)

Sociodemographic differences in public expectations towards activities aimed at type 2 diabetes prevention (N = 1,046) (Warsaw, Poland, 2023).

Bold font was used to mark the results that met the statistical significance criteria (p < 0.05).

Factors Associated With Public Expectations Towards Participation in Activities Aimed at Preventing Type 2 Diabetes

In multivariable logistic regression, having higher education (OR: 3.83, 95% CI: 1.64–8.94, p = 0.002), having chronic diseases (OR: 1.36, 95% CI: 1.01–1.85, p = 0.04), and history of diabetes in the family (OR: 1.67, 95% CI: 1.21–2.30, p = 0.002) were significantly associated with higher interest in participation in activities aimed at preventing type 2 diabetes (Table 5). A separated analysis was performed for participants without diagnosis of diabetes (n = 898), also confirmed that having higher education (OR: 3.84, 95%CI: 1.53–9.68, p = 0.004), history of diabetes in the family (OR: 1.86, 95%CI: 1.30–2.65, p < 0.001) and presence of chronic diseases (OR: 1.64, 95%CI: 1.16–2.30, p = 0.01) were significantly associated with higher interest in participation in activities aimed at preventing type 2 diabetes (Table 6).

TABLE 5

VariableFactors associated with public expectations towards participation in activities aimed at preventing type 2 diabetes (N = 1,046)
Univariable logistic regressionMultivariable logistic regression
OR95%CIpOR95% CIp
Gender
 Female0.970.73–1.300.8
 MaleReference
Age (years)
 18–291.040.68–1.600.9
 30–390.960.65–1.420.8
 40–491.280.82–2.000.3
 50–591.140.69–1.880.6
 60+Reference
Educational level
 PrimaryReferenceReference
 Vocational1.980.80–4.860.11.810.72–4.560.2
 Secondary2.110.93–4.780.072.000.87–4.620.09
 Higher4.131.81–9.44<0.0013.831.64–8.940.002
Marital status
 Married1.451.09–1.940.011.310.98–1.770.08
 UnmarriedReferenceReference
Having children
 Yes1.230.91–1.670.2
 NoReference
Place of residence
 Rural area1.290.81–2.050.3
 City below 20,000 inhabitants0.760.44–1.310.3
 City from 20,000 to 99,999 inhabitants1.260.75–2.100.4
 City from 100,000 to 499,999 inhabitants1.020.61–1.710.9
 City above 500,000 inhabitantsReference
Number of household members
 10.820.55–1.210.3
 21.170.84–1.620.4
 3 or moreReference
Occupational status
 Active1.170.87–1.560.3
 PassiveReference
Financial status
 Good1.270.86–1.870.2
 Moderate0.970.66–1.440.9
 BadReference
History of diabetes in the family
 Yes1.681.22–2.300.0011.671.21–2.300.002
 NoReferenceReference
Presence of chronic diseases
 Yes1.451.07–1.950.021.361.01–1.850.04
 NoReferenceReference
Having diabetes diagnosed by a doctor
 Yes1.300.84–2.020.2
 NoReference

Factors associated with public expectations towards participation in activities aimed at preventing type 2 diabetes (N = 1,046) (Warsaw, Poland, 2023).

Bold font was used to mark the results that met the statistical significance criteria (p < 0.05).

TABLE 6

VariableFactors associated with public expectations towards participation in activities aimed at preventing type 2 diabetes among those without diabetes (N = 898)
Univariable logistic regressionMultivariable logistic regression
OR95%CIpOR95% CIp
Gender
 Female1.020.75–1.400.9
 MaleReference
Age (years)
 18–291.100.69–1.750.7
 30–390.890.58–1.370.6
 40–491.180.73–1.910.6
 50–591.040.61–1.760.9
 60+Reference
Educational level
 PrimaryReferenceReference
 Vocational2.390.90–6.340.082.200.80–6.040.1
 Secondary2.481.02–6.010.042.320.93–5.770.07
 Higher4.221.73–10.310.0023.841.53–9.680.004
Marital status
 Married1.421.04–1.930.031.260.91–1.740.2
 UnmarriedReferenceReference
Having children
 Yes1.140.83–1.570.4
 NoReference
Place of residence
 Rural area1.360.82–2.260.2
 City below 20,000 inhabitants0.710.39–1.270.2
 City from 20,000 to 99,999 inhabitants1.230.71–2.140.5
 City from 100,000 to 499,999 inhabitants0.960.55–1.670.9
 City above 500,000 inhabitantsReference
Number of household members
 10.820.54–1.250.4
 21.170.82–1.660.4
 3 or moreReference
Occupational status
 Active1.100.80–1.510.6
 PassiveReference
Financial status
 Good1.110.73–1.680.6
 Moderate0.880.57–1.340.5
 BadReference
History of diabetes in the family
 Yes1.831.29–2.59<0.0011.861.30–2.65<0.001
 NoReferenceReference
Presence of chronic diseases
 Yes1.741.25–2.440.0011.641.16–2.300.01
 NoReferenceReference

Factors associated with public expectations towards participation in activities aimed at preventing type 2 diabetes among those without diabetes (N = 898) (Warsaw, Poland, 2023).

Bold font was used to mark the results that met the statistical significance criteria (p < 0.05).

Discussion

To the authors’ best knowledge, this is the first study on the expectations and needs relating to type 2 diabetes prevention and on factors associated with willingness to participate in activities aimed at type 2 diabetes prevention among adults in Poland. Most of the respondents declared interest in diabetes-preventing activities was high. Out of Educational level, history of diabetes in the family and presence of chronic diseases were significantly associated with expectations towards participation in activities aimed at preventing type 2 diabetes among those without diabetes, both among all participants as well as those without diabetes.

Those results correspond to the previously published data [27] on the awareness of diabetes in Polish adults. As it was recently confirmed by Sękowski et al. [11], knowledge of diabetes in Poland is strongly related to the patient’s level of education. Rising awareness of diabetes among Polish adults, its risk factors and symptoms results in higher readiness to participate in diabetes prevention actions. However, an educational gradient of this attitude may result in greater health inequalities [28], as only a part of the population is ready to take advantage of such preventive measures. This is especially of consideration in the case of Poland, where a substantial part of the population had never undergone a blood glucose test [29], and the number of undiagnosed patients with type 2 diabetes is estimated to be up to 1 million [30].

Most of the respondents declared willingness to participate in diabetes prevention activities based on healthcare services such as blood sugar tests, consultations with specialists (diabetologists) and family doctors. Lifestyle-related interventions were the least chosen. Those preferences towards medical services and, in consequence, secondary prevention may be due to two reasons.

The Polish health system is considered to have problems in meeting the health needs of the society [31, 32]. Therefore, patients may prefer actions that provide them with the opportunities to meet the demand for health services. This seems especially true for the oldest patients (60+ age group), who most often choose the medical interventions through consultations with a family doctor or a diabetologist (89.5% and 80%, respectively). The inadequate availability of medical services is also perceived as a problem by doctors who provide such services to senior patients [33].

On the other hand, the knowledge of lifestyle-related risk factors for diabetes remains inadequate in Poland [12]. This may result in higher demand for services that meet the social notion of effective diabetes prevention.

Numerous studies have determined the influence of physical activity and exercise on health outcomes. The research indicates that physical activity increases the quality of life and lowers death rates with little to no safety issues [34]. A recent study by Biernat et al. [35] revealed low declared physical activity levels among Poland’s adults. It showed that the likelihood of participation in physical activities depends among other things, on age and education level. Those findings correspond with the results of this study in which sports activities, as a form of diabetes prevention, were chosen mostly by younger participants (70% in the 30–39 age group) with higher education (68.4%) and active occupational status (68.8%). The latter correlates with the findings of Meyer et al. [36], who showed that higher socio-economic status was associated with involvement in all intensity levels of physical activity.

The diet is a second lifestyle factor considered key in diabetes prevention and mitigation of its complications [37]. Some studies show that due to dietary intake, never-married men in Poland manifest, on average, higher systolic and diastolic blood pressure [38] – as risk factors for diabetes [39] and common comorbidities [40]. Despite those circumstances, single respondents were less willing to participate in all diet-related activities (culinary workshops, dietary consultations). Moreover, being single was also negatively correlated with lower preferences towards all consultations with healthcare professionals (family doctors, diabetologists, nurses and educators). Contrasted with, on average, lower quality of life and perceived health condition observed among non-married adults in Poland [41], the attitude of single adults towards preventive health services identified in this study poses a serious challenge.

The results of this study also demonstrated that having a family member with diabetes increases the willingness to participate in all but one (consultation with family doctor) activities. We can hypnotically assume that this is because diabetes has a particular characteristic in that it is a chronic disease that typically manifests in older age, and the patient frequently needs family support and involvement in disease management. Therefore, the patient’s family may have a higher-than-average understanding of this disease (its risk factors and its prevention), as reported by Sękowski et al. [12]. These may complement proper diabetic education that should be offered as part of a public health intervention on diabetes but should not be used in its place. This study has practical implications for the implementation of a community pharmacist-physician collaborative working model in Poland. This study revealed that there is a need to strengthen the role of pharmacists in interprofessional care. Pharmacists should be encouraged to perform drug reviews and report drug interactions and polypharmacy. Pharmacist-physician collaborative working should be included in postgraduate training programs. Both groups should improve communication skills and learn how to build proper relationships based on respect and trust. There is also a need to promote the role of the pharmacist in the healthcare system - no longer as a distributor of drugs, but as an advisor and consultant in matters related to pharmacotherapy [18]. Public authorities should remove barriers to pharmacist-physician collaborative working. Pharmacists should gain access to basic electronic health records that are necessary for pharmaceutical care [16, 42]. Moreover, the development of clear guidelines on what information should be recorded in the patients’ records from the point of view of optimizing pharmacotherapy will also contribute to better cooperation between pharmacists and physicians.

Practical Implications

Numerous practical ramifications for public health actions in Poland can be drawn from this study. It shows a high level of interest in participating in diabetes prevention activities among adults in Poland. This interest is, however, directed towards medical services, while willingness to participate in lifestyle interventions is lower.

This finding emphasizes a need for improved education on diabetes, with special consideration for its risk factors and prevention methods. It is important to pay close attention to communication addressed to individuals with lower education, as that group was identified as less likely to participate in any diabetes prevention activities. Single males, especially those not active in the labour market, should be approached with targeted actions focusing on lifestyle risk factors and prevention methods of diabetes.

Moreover, this study provides evidence of inadequate education of patients diagnosed with diabetes in Poland and their low motivation to participate in activities that could prevent or delay complications of their disease. The results of this study also highlight the beneficial effect that having a family member with diabetes has on the degree of diabetes awareness among other family members.

The findings of this study can have implications for other countries, particularly those that are facing similar epidemics and economic challenges, like the former Eastern block countries. Nonetheless, it’s important to consider that social and cultural differences may also play a role.

Limitations

This research has several limitations. The CAWI research approach was used to conduct the study, which forgoes direct interaction between the interviewer and the respondent (for example, the ability to judge the respondents’ abilities and capacity to comprehend the questions posed). The study’s questionnaire was restricted to the most common activities offered in the Polish health system. Due to the study’s design, medical records were not validated, and participants self-reported health information and information on their family health history. Nevertheless, this is the most thorough and recent survey on the general public’s attitude towards diabetes prevention activities conducted among adults in Poland.

Conclusion

The findings of the study were unequivocal and demonstrated a remarkable level of interest among Polish adults in activities aimed at preventing diabetes. Notably, the education level of respondents emerged as a crucial and statistically significant factor linked to their willingness to participate in such activities. Additionally, the study revealed a preference for medical interventions over lifestyle-oriented interventions, with only younger, better-educated, and working respondents showing a greater inclination towards the latter.

These results underscore the importance of comprehensive diabetes education, particularly in relation to lifestyle-related risk factors and prevention methods.

Statements

Ethics statement

Ethical approval was received from the Ethics Committee at the Centre of Postgraduate Medical Education in Warsaw, Poland (approval number: 404/2023). All participants declared informed consent to participate. All methods were carried out in accordance with relevant guidelines and regulations. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

All authors JG-S, KS, JP, and MJ have contributed significantly to this work, have seen the contents of the manuscript and agreed to its submission.

Conflict of interest

The authors declare that they do not have any conflicts of interest.

References

  • 1.

    ChoNHShawJEKarurangaSHuangYda Rocha FernandesJDOhlroggeAWet alIDF Diabetes Atlas: Global Estimates of Diabetes Prevalence for 2017 and Projections for 2045. Diabetes Res Clin Pract (2018) 138:27181. 10.1016/j.diabres.2018.02.023

  • 2.

    American Diabetes Association. Economic Costs of Diabetes in the U.S. in 2017. Diabetes Care (2018) 41(5):91728. 10.2337/dci18-0007

  • 3.

    BommerCHeesemannESagalovaVManne-GoehlerJAtunRBärnighausenTet alThe Global Economic Burden of Diabetes in Adults Aged 20-79 Years: A Cost-Of-Illness Study. Lancet Diabetes Endocrinol (2017) 5(6):42330. 10.1016/S2213-8587(17)30097-9

  • 4.

    KnowlerWCBarrett-ConnorEFowlerSEHammanRFLachinJMWalkerEAet alReduction in the Incidence of Type 2 Diabetes With Lifestyle Intervention or Metformin. N Engl J Med (2002) 346(6):393403. 10.1056/NEJMoa012512

  • 5.

    LindströmJIlanne-ParikkaPPeltonenMAunolaSErikssonJGHemiöKet alSustained Reduction in the Incidence of Type 2 Diabetes by Lifestyle Intervention: Follow-Up of the Finnish Diabetes Prevention Study. Lancet (2006) 368(9548):16739. 10.1016/S0140-6736(06)69701-8

  • 6.

    LambrinouEHansenTBBeulensJW. Lifestyle Factors, Self-Management and Patient Empowerment in Diabetes Care. Eur J Prev Cardiol (2019) 26(2):5563. 10.1177/2047487319885455

  • 7.

    World Health Organisation. The WHO Global Diabetes Compact (2023). Available from: https://www.who.int/initiatives/the-who-global-diabetes-compact (Accessed October 7, 2023).

  • 8.

    MahrousehNLovasSNjugunaDWNellamkuzhiNJSoares AndradeCASackeyWEet alHow the European Union Legislations Are Tackling the Burden of Diabetes Mellitus: A Legal Surveillance Study. Front Public Health (2022) 10:1002265. 10.3389/fpubh.2022.1002265

  • 9.

    European Monitoring Centre for Drugs and Drug Addiction. Poland's National Health Program for 2016-20 (2023). Available from: https://www.emcdda.europa.eu/drugs-library/polands-national-health-program-2016-20_en (Accessed October 7, 2023).

  • 10.

    Topor-MadryRWojtyniakBStrojekKRutkowskiDBogusławskiSIgnaszewska-WyrzykowskaAet alPrevalence of Diabetes in Poland: A Combined Analysis of National Databases. Diabet Med (2019) 36(10):120916. 10.1111/dme.13949

  • 11.

    TowpikIWalickaMMarcinkowskaKLisickaIRaczyńskaMWierzbaWet alEpidemiology of Diabetes in Poland in 2014–2017. Clin Diabet (2020) 9(5):27985. 10.5603/dk.2020.0033

  • 12.

    SękowskiKGrudziąż-SękowskaJPinkasJJankowskiM. Public Knowledge and Awareness of Diabetes Mellitus, its Risk Factors, Complications, and Prevention Methods Among Adults in Poland-A 2022 Nationwide Cross-Sectional Survey. Front Public Health (2022) 10:1029358. 10.3389/fpubh.2022.1029358

  • 13.

    AzizZAbsetzPOldroydJPronkNPOldenburgB. A Systematic Review of Real-World Diabetes Prevention Programs: Learnings From the Last 15 Years. Implement Sci (2015) 10:172. 10.1186/s13012-015-0354-6

  • 14.

    CrandallJPKnowlerWCKahnSEMarreroDFlorezJCBrayGAet alThe Prevention of Type 2 Diabetes. Nat Clin Pract Endocrinol Metab (2008) 4(7):38293. 10.1038/ncpendmet0843

  • 15.

    PeerNBalakrishnaYDuraoS. Screening for Type 2 Diabetes Mellitus. Cochrane Database Syst Rev (2020) 5(5):CD005266. 10.1002/14651858.CD005266.pub2

  • 16.

    GnaviRSciannameoVBarattaFScarinziCParenteMManaMet alOpportunistic Screening for Type 2 Diabetes in Community Pharmacies. Results From a Region-Wide Experience in Italy. PLoS One (2020) 15(3):e0229842. 10.1371/journal.pone.0229842

  • 17.

    MerakouKKnithakiAKarageorgosGTheodoridisDBarbouniA. Group Patient Education: Effectiveness of a Brief Intervention in People With Type 2 Diabetes Mellitus in Primary Health Care in Greece: A Clinically Controlled Trial. Health Educ Res (2015) 30(2):22332. 10.1093/her/cyv001

  • 18.

    Ariel-DongesAHGordonELDixonBNEastmanAJBaumanVRossKMet alRural/Urban Disparities in Access to the National Diabetes Prevention Program. Transl Behav Med (2020) 10(6):15548. 10.1093/tbm/ibz098

  • 19.

    AliMKMcKeever BullardKImperatoreGBenoitSRRolkaDBAlbrightALet alReach and Use of Diabetes Prevention Services in the United States, 2016-2017. JAMA Netw Open (2019) 2(5):e193160. 10.1001/jamanetworkopen.2019.3160

  • 20.

    SargeantLASimmonsRKBarlingRSButlerRWilliamsKMPrevostATet alWho Attends a UK Diabetes Screening Programme? Findings From the ADDITION-Cambridge Study. Diabet Med (2010) 27(9):9951003. 10.1111/j.1464-5491.2010.03056.x

  • 21.

    GreenBBAndersonMLRalstonJDCatzSFishmanPACookAJ. Patient Ability and Willingness to Participate in a Web-Based Intervention to Improve Hypertension Control. J Med Internet Res (2011) 13(1):e1. 10.2196/jmir.1625

  • 22.

    AlmeidaFAYouWBritoFAAlvesTFGoesslCWallSSet alA Randomized Controlled Trial to Test the Effectiveness of Two Technology-Enhanced Diabetes Prevention Programs in Primary Care: The DiaBEAT-It Study. Front Public Health (2023) 11:1000162. 10.3389/fpubh.2023.1000162

  • 23.

    alkanenKJärvenpääRTilles-TirkkonenTMartikainenJAarnioEMännikköRet alComparison of Communication Channels for Large-Scale Type 2 Diabetes Risk Screening and Intervention Recruitment: Empirical Study. JMIR Diabetes (2021) 6(3):e21356. 10.2196/21356

  • 24.

    The Nationwide Research Panel Ariadna. The Nationwide Research Panel Ariadna About the Panel (2023). Available from: https://panelariadna.com/ (accessed on October 26, 2023).

  • 25.

    KamińskaAJankowskiMRejdakMBOstrowskiJRejdakRPinkasJ. An Online Questionnaire-Based Survey of 1076 Individuals in Poland to Identify the Prevalence of Ophthalmic Symptoms in Autumn 2022. Med Sci Monit (2023) 29:e939622. 10.12659/MSM.939622

  • 26.

    KamińskaAPinkasJJankowskiM. Factors Associated With the Frequency of Eye Examinations Among Adults in Poland - A Nationwide Cross-Sectional Survey, December 2022. Ann Agric Environ Med (2023) 30(2):28795. 10.26444/aaem/159152

  • 27.

    SobierajskiT. Coalition for Fight Against Diabetes. Report: Social Image of Diabetes (2023). Available from: https://nazdrowie.pl/wp-content/uploads/2017/11/Spo%C5%82eczny-obraz-cukrzycy_raport.pdf (Accessed October 7, 2023).

  • 28.

    Hill-BriggsFAdlerNEBerkowitzSAChinMHGary-WebbTLNavas-AcienAet alSocial Determinants of Health and Diabetes: A Scientific Review. Diabetes Care (2020) 44(1):25879. 10.2337/dci20-0053

  • 29.

    Grudziąż-SękowskaJSękowskiKBPinkasJJankowskiM. Blood Glucose Level Testing in Poland - Do Socio-Economic Factors Influence its Frequency? A Nationwide Cross-Sectional Survey. Ann Agric Environ Med (2023) 30(3):4839. 10.26444/aaem/162964

  • 30.

    ZatońskaKBasiak-RasałaARóżańskaDKarczewskiMWołyniecMSzubaAet alChanges in Diabetes Prevalence and Corresponding Risk Factors - Findings From 3- and 6-Year Follow-Up of PURE Poland Cohort Study. BMC Public Health (2020) 20(1):843. 10.1186/s12889-020-08970-5

  • 31.

    SowadaCSaganAKowalska-BobkoIBadora-MusialKBochenekTDomagalaAet alPoland: Health System Review. Health Syst Transit (2019) 21(1):1234.

  • 32.

    HoleckiTRomaniukPWoźniak-HoleckaJSzromekARSyrkiewicz-ŚwitałaM. Mapping Health Needs to Support Health System Management in Poland. Front Public Health (2018) 6:82. 10.3389/fpubh.2018.00082

  • 33.

    Krztoń-KrólewieckaAOleszczykMSchäferWBoermaWGWindakA. Quality of Primary Health Care in Poland From the Perspective of the Physicians Providing it. BMC Fam Pract (2016) 17(1):151. 10.1186/s12875-016-0550-8

  • 34.

    PosadzkiPPieperDBajpaiRMakarukHKönsgenNNeuhausALet alExercise/Physical Activity and Health Outcomes: An Overview of Cochrane Systematic Reviews. BMC Public Health (2020) 20(1):1724. 10.1186/s12889-020-09855-3

  • 35.

    BiernatEKrzepotaJSadowskaD. Active or Passive Aging? Analysis of Selected Socioeconomic Factors in the Polish Population. Int J Environ Res Public Health (2023) 20(6):4683. 10.3390/ijerph20064683

  • 36.

    MeyerKReznyLBreuerCLamprechtMStammHP. Physical Activity of Adults Aged 50 Years and Older in Switzerland. Soz Praventivmed (2005) 50(4):21829. 10.1007/s00038-005-4093-3

  • 37.

    UusitupaMKhanTAViguilioukEKahleovaHRivelleseAAHermansenKet alPrevention of Type 2 Diabetes by Lifestyle Changes: A Systematic Review and Meta-Analysis. Nutrients (2019) 11(11):2611. 10.3390/nu11112611

  • 38.

    LipowiczALopuszanskaM. Marital Differences in Blood Pressure and the Risk of Hypertension Among Polish Men. Eur J Epidemiol (2005) 20(5):4217. 10.1007/s10654-005-1752-x

  • 39.

    PetrieJRGuzikTJTouyzRM. Diabetes, Hypertension, and Cardiovascular Disease: Clinical Insights and Vascular Mechanisms. Can J Cardiol (2018) 34(5):57584. 10.1016/j.cjca.2017.12.005

  • 40.

    SękowskiKGrudziąż-SękowskaJGoryńskiPPinkasJJankowskiM. Clinical Characteristics and Factors Associated With In-Hospital Mortality in 66 755 Patients Hospitalized Due to Diabetes in Poland, January to December 2019. Med Sci Monit (2022) 28:e938550. 10.12659/MSM.938550

  • 41.

    PuciatoDRozparaMBugdolMMróz-GorgońB. Socio-Economic Correlates of Quality of Life in Single and Married Urban Individuals: A Polish Case Study. Health Qual Life Outcomes (2022) 20(1):58. 10.1186/s12955-022-01966-2

  • 42.

    Al-TaieA. Implications of Health Care Providers by Physicians’ and Pharmacists’ Attitudes and Perceptive Barriers Towards Interprofessional Collaborative Practices. Braz J Pharm Sci (2022) 58. 10.1590/s2175-97902022e20983

Summary

Keywords

prevention, health education, needs assessment, diabetes mellitus, preventive health services

Citation

Grudziąż-Sękowska J, Sękowski K, Pinkas J and Jankowski M (2024) Public Expectations and Needs Related to Type 2 Diabetes Prevention: A Population-Based Cross-Sectional Study in Poland. Int J Public Health 69:1606790. doi: 10.3389/ijph.2024.1606790

Received

31 October 2023

Accepted

11 January 2024

Published

23 January 2024

Volume

69 - 2024

Edited by

Salvatore Panico, University of Naples Federico II, Italy

Reviewed by

Anmar Al-Taie, Istinye University, Türkiye

One reviewer who chose to remain anonymous

Updates

Copyright

*Correspondence: Justyna Grudziąż-Sękowska,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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