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Abstract Background It is important to identify and evaluate cardiovascular risk factors at an early stage to address them accordingly. Among the younger population, the metabolic syndrome is less common than in older ages. However, each separate metabolic risk factor still has an additive effect on cardiovascular risk factor burden. Non-metabolic risk factors that occur in the younger population include family history, smoking, psychological distress and socioeconomic vulnerability. In 2021 a voluntary health intervention program was introduced in an urban area in Sweden where a cohort of 40-year-olds was invited for cardiovascular risk identification. The aim of this study was to identify how cardiovascular risk factors tend to aggregate in individuals participating in a voluntary health screening program and how the metabolic risk factors associate with non-metabolic cardiovascular risk factors. Methods This was a cross-sectional study with 1831 participants. Data from questionnaires and baseline measurements were used to calculate the prevalence of metabolic- (blood pressure, lipids, fasting plasma glucose, BMI, waist-hip ratio) and non-metabolic risk factors (family history of CVD, smoking, psychological distress, socioeconomic vulnerability) for CVD. SCORE2 was calculated according to the algorithm provided by the SCORE2 working group and ESC (European Society of Cardiology) Cardiovascular Risk Collaboration. Associations among each of the metabolic risk factors and non-metabolic risk factors were estimated using logistic regression and presented as odds ratios (ORs) with 95% confidence intervals (CIs). Results More than half of the study population had at least one metabolic risk factor, and more than 1/3 was considered to be suffering from psychological distress. Furthermore, obesity or central obesity demonstrated individual associations with all of the non-metabolic risk factors in the study; smoking (1.49; 1.32–2.63), family history of CVD (1.41; 1.14–1.73), socioeconomic vulnerability (1.60; 1.24–2.07), and psychological distress (1.40; 1.14–1.72). According to SCORE2 25% of the men were at moderate risk (2.5–7.5%) of developing a cardiovascular event within 5–10 years, but only 2% of the women. Conclusions Obesity/central obesity should be a prioritized target in health screening programs. The non-metabolic risk factors, socioeconomic vulnerability, and psychological distress should not be ignored and addressed with adequate guidance to create health equity.

Background: Hypertension is an important cardiovascular risk factor with potentially harmful consequences. Home blood pressure monitoring is a promising method for following the effect of hypertension treatment. The use of technology-enabled care and increased patient involvement might contribute to more effective treatment methods. However, more knowledge is needed to explain the motivations and consequences of patients engaging in what has been called ‘do-it-yourself healthcare’. Aim: This study aimed to investigate patients’ experiences of home blood pressure monitoring through the theoretical frame of the Unified Theory of Acceptance and Use of Technology (UTAUT 2). Methods: The study had a qualitative design, with focus group interviews using the web-based platform Zoom. The data were analysed using qualitative deductive content analysis, inspired by Graneheim and Lundman. Results: The results are presented using the seven theoretical constructs of UTAUT 2: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonistic Motivation, Price Value and Habit. We found one overarching theme ‒ ‘It’s all about the feeling of security’. The patients were influenced by relatives or healthcare personnel and experienced the home monitoring process as being easy to conduct. The patients emphasised that the quality of the blood pressure monitor was more important than the price. Patients reported home monitoring of blood pressure as a feasible method to follow-up care of their hypertension. Discussion: This study indicates that among motivated patients, home blood pressure measurement entails minimal effort, increases security, and leads to better communication about blood pressure between healthcare personnel and patients.

Abstract Background Evidence concerning health care use related to virtual visits is conflicting. More research has been called for regarding the effectiveness of text-based virtual visits (eVisits). Therefore, we investigated patient characteristics, diagnoses, and subsequent health care contacts after eVisits to primary care. Methods We conducted a register-based cohort study of eVisits to an all-virtual public primary care unit in Sweden and subsequent health care contacts within 14 days. Data for 2021 were acquired from the regional health care databases. Diagnoses were sorted into relevant diagnostic groups, such as skin diagnoses and respiratory tract diagnoses. Multiple logistic regression was performed with subsequent health care contact as the outcome variable and diagnostic group for the eVisit as the predictor variable. Analyses were adjusted for age, sex, and socioeconomic index. Results There were 5817 eVisits to a nurse and 4267 eVisits to a general practitioner (N = 10 084). Most patients were 20 to 39 years of age (41.8%). Skin diagnoses were most frequent (47.3%), followed by respiratory tract diagnoses (19.9%). Approximately one-fourth (25.8%) of the patients who completed an eVisit with a nurse or a general practitioner had a subsequent face-to-face visit within 14 days, mostly in primary care. Subsequent contacts were more frequent after an eVisit to a nurse than to a general practitioner. After an eVisit to a general practitioner, patients with infections (especially respiratory tract but also urinary tract) and unspecified diagnoses (especially skin-related) were more likely to require further health care contact compared to a group with various other diagnoses. Conclusions eVisits to an all-virtual primary care unit may be appropriate for uncomplicated medical complaints. Nonetheless, the effectiveness of eVisits in terms of substitution of physical visits, and resource utilization in relation to the more complex care needs of a primary care population, should be further studied.

Objective To examine cardiovascular risk factors in 40-year-old participants in the health screening program targeted health dialogues (THDs).Design Cross-sectional study.Setting 99 Swedish healthcare centers.Intervention Metabolic risk factors and health behaviors were assessed. THDs were provided.Subjects 1831 (62.3%) THD participants that consented to take part in the research project.Main outcome measures (1) Prevalence of metabolic risk factors (blood pressure, LDL cholesterol, fasting plasma glucose, BMI, waist-hip ratio) and unhealthy behaviors (tobacco, alcohol, diet, physical activity) by sex, education, and place of birth. (2) Associations between different health behaviors and between the number of unhealthy behaviors and prevalence of metabolic risk factors. (3) THD participation by sociodemographics compared to age-matched controls.Results Men had a higher prevalence of all metabolic risk factors, excessive alcohol use and tobacco use than women. Lower educated individuals had a higher prevalence of metabolic risk factors (except for LDL cholesterol) and tobacco use than highly educated. Participants born outside Sweden had a higher prevalence of obesity, high waist-hip ratio, and tobacco use. Participants with 3–4 unhealthy behaviors had significantly higher prevalence of each of the metabolic risk factors except BMI. Women, highly educated and Swedish-born participants were slightly over-represented in the THDs.Conclusion Considering the associations between unhealthy behaviors and metabolic risk factors, the THD method, covering lifestyle as well as objective health measures, may be an appropriate method for early identification of individuals at risk for future non-communicable diseases in the whole population with a specific focus on certain groups.ClinicalTrials.gov NCT04912739

Abstract Background Social and geographical inequity in access to primary healthcare is an ongoing concern in Sweden. Digital care can potentially decrease geographical inequity. This study aimed to evaluate how urbanicity affects the utilization of a public digital primary healthcare service - PHC Online. Methods We performed an ecological cross-sectional study of 4,482 PHC Online visits grouped by 83 public primary healthcare centers. Multiple linear regression analysis was performed with PHC Online visits per 1,000 registered patients as the dependent variable and urbanicity (municipalities grouped by number of inhabitants), socioeconomic status (Care Need Index), and morbidity (Adjusted Clinical Groups) per primary healthcare center as independent variables. Results Utilization of PHC Online was more common among those of a younger age (median 32 years) and among women (65%). Urbanicity did not affect utilization. Lower socioeconomic status and higher morbidity had negative effects on utilization (B -3.289, p = 0.001, B -7.728, p = 0.045). Conclusions Geographical differences based on urbanicity do not seem to affect the utilization of PHC Online. Further studies are needed to clarify a possible association to geographical barriers in access to primary healthcare, specifically accounting for factors associated with urbanicity and distance to physical clinics, and how age and sex affect such an association. Lower utilization of PHC Online in low socioeconomic status and high morbidity populations raises questions on the effect of digital primary care on equitable access to primary healthcare.

Objective: Targeted Health Dialogues (THD) is a public health intervention program that aims at preventing cardiovascular disease. THDs were implemented in the Swedish region Scania, in 2020, with the novelty of being conducted in a metropolitan area with a multiethnic population.This study investigated the prevalence of obesity among 40-year-old THD participants in Scania by region of birth, and its associations with self-efficacy and additional metabolic risk factors. Methods: Cross-sectional data were retrieved from measurements in the THDs. Study participants included 1831 40-year-olds. Differences in characteristics by region of birth were assessed using chi-squared and ANOVA tests. The associations between overweight, obesity, and high waist-hip ratio (WHR) and self-efficacy and metabolic risk factors (blood pressure, LDL cholesterol, plasma glucose) were assessed using binominal and ordinal logistic regression, adjusted for sex and education and tested for interactions by region of birth. Results: 35.1 % of the participants were overweight (BMI 25–29.9), and 18.7 % were obese (BMI ≥30) with the highest levels among participants born outside Sweden (p = 0.005). Abdominal obesity was also more prevalent among participants born outside Sweden (p = 0.002). Obesity was associated with increased odds of having low self-efficacy (OR per BMI-level: 1.48 (CI 1.24–1.76) and additional metabolic risk factors. No interactions with region of birth were detected. Conclusions: The prevalence of obesity differed between region of birth and obesity was associated with having low self-efficacy. These findings underline the need to customise lifestyle interventions in a multiethnic population to increase health equity.