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Associations of psychological factors with atherosclerosis and cardiovascular health in middle-age: the population-based Swedish CArdioPulmonary bioImage study (SCAPIS)

BMC Public Health volume 24, Article number: 1455 (2024) Cite this article

Abstract

Background

Cardiovascular disease (CVD) is a major global health issue, primarily caused by atherosclerosis. Psychological factors may play a role in the development and progression of CVD. However, the relationship between psychological factors and atherosclerosis is complex and poorly understood. This study, therefore, aimed to examine the association of psychological factors with (i) coronary and carotid atherosclerosis and (ii) cardiovascular health according to Life’s Essential 8, in a large Swedish cohort.

Methods

This study utilized data from the Swedish CArdioPulmonary bioImage Study (SCAPIS), a large population-based project including individuals aged 50 to 65 years. Several psychological factors were analysed: general stress, stress at work, financial stress, major adverse life events, locus of control, feeling depressed, and depression. Coronary atherosclerosis was assessed as the degree of stenosis by coronary computed tomography angiography (CCTA) and coronary artery calcification (CAC) scores. Carotid atherosclerosis was examined using ultrasound. In addition, cardiovascular health was examined using the Life’s Essential 8 concept created by the American Heart Association, which includes four health behaviors and four health factors. Associations were examined through binomial logistic regression (atherosclerosis variables) and linear regression (Life’s Essential 8).

Results

A total of 25,658 participants were included in the study. The presence of financial stress, higher locus of control, and depression was weakly associated with increased odds of CCTA stenosis, CAC ≥ 1 and the presence of carotid plaques (all odds ratios: 1.10–1.21, 95% CI: 1.02–1.32) after adjusting for sex, age, and study site. However, these associations were attenuated and not statistically significant after additional adjustments for socioeconomic factors and health behaviors. Conversely, we observed inverse associations between the worst category for all psychological factors and cardiovascular health according to Life’s Essential 8 score (all standardized β-Coefficient ≤-0.033, p < 0.001).

Conclusion

While there were no strong and consistent associations between psychological factors and atherosclerosis, the consistent associations of psychological factors with cardiovascular health by Life’s Essential 8 may have relevance for future CVD risk. However, further studies are needed to elucidate the long-term effects of psychological factors on atherosclerosis development and cardiovascular health.

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Background

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide, and the prevalence of CVD continues to increase, despite advances in medical treatments and interventions [1, 2]. An underlying pathological basis of CVD is atherosclerosis, a chronic inflammatory disease characterized by the build-up of plaques in arterial walls, leading to the narrowing and hardening of the arteries [3]. While traditional risk factors for atherosclerosis, including smoking, hypertension, dyslipidaemia, or diabetes, are well established [4,5,6,7,8], recent research has highlighted the potential role of psychological factors in the development and progression of CVD, emphasizing the concept of integral health [9, 10]. However, the relationship between psychological factors and atherosclerosis is complex and multifaceted, and several mechanisms have been proposed to explain this association. For instance, psychological stress appears to cause increased sympathetic activity, which, in turn, may lead to an increase in cardiovascular risk factors and biological dysfunction [11,12,13]. Furthermore, a potential mechanism linking psychological factors and atherosclerosis is through the influence of psychological stress on health behaviors, such as diet, physical activity, and sleep [14]. For example, individuals experiencing high levels of stress may engage in unhealthy behaviors that contribute to the development of atherosclerosis.

Although several studies have suggested that chronic stress, depression, and anxiety may play a role in the development and progression of subclinical atherosclerosis, the evidence is not consistent [15, 16]. A few studies have investigated the association between psychological factors and subclinical atherosclerosis measured as coronary artery calcification (CAC), carotid intima media thickness (CIMT) and ankle-brachial index [16,17,18,19]. However, these studies did not use the non-invasive gold standard coronary computed tomography angiography (CCTA) imaging technique. In contrast to CAC, which only provides information about calcified plaques, CCTA provides anatomical information of both calcified and non-calcified plaques and stenosis [20]. This increased sensitivity for detecting CVD makes CCTA a more reliable imaging tool for assessing the presence and severity of subclinical atherosclerosis in patients with psychological risk factors [21].

Therefore, the aim of this study, conducted within the large population-based Swedish CArdioPulmonary bioImage Study (SCAPIS) was twofold: (i) to examine the association between psychological factors and coronary and carotid atherosclerosis and (ii) to examine the association between psychological factors and cardiovascular health according to Life’s Essential 8 (LE8).

Methods

Study design and population

We used data from SCAPIS, including 30,154 individuals (51.4% women) aged 50 to 64 years randomly recruited from 6 university cities in Sweden (Gothenburg, Linköping, Malmö/Lund, Stockholm, Umeå, and Uppsala) [3, 22]. Study methods have been reported in detail elsewhere [22]. The SCAPIS project aimed to characterize a large general population sample to improve prevention strategies for CVD. Participants were included between 2013 and 2018; the final study response rate was 50.3%.

Of the 30,154 participants in the SCAPIS project, 25,658 participants had data on at least one psychological factor and had complete covariates. Additionally, 3,610 participants had missing data on any of the four proximal coronary segments, leaving a final sample size of 22,048, 21,727, 25,534, and 25,622 participants with data on CCTA coronary stenosis, CAC score, carotid plaque and LE8 score, respectively (see Supplementary Fig. 1).

Ethical approval

was obtained from the Swedish Ethical Review Board (reference numbers: 2021-06408-01 and 2022-04375-02), and all participants provided written informed consent.

Psychological factors

The present study analysed several psychological variables, related to stress and mental health, that have been previously associated to cardiovascular diseases [15] including: general stress, stress at work, financial stress, major adverse life events, locus of control, feeling depressed, and depression. General stress was defined as “feeling tense, irritable, anxious, or having sleep problems due to conditions at work or home” [15]. Stress at work was assessed with an adaptation of the Copenhagen Psychosocial Questionnaire [23]. The original version comprises 30 questions. In SCAPIS, 10 questions were selected, and the following three main clusters of scales were developed: (i) demands at work, (ii) work organization and content, and (iii) interpersonal relations and leadership. Participants were asked to report how frequently they had felt stressed for each question, using the following response options: a) always; b) often; c) sometimes; d) seldom; e) and never. The score was added to a score of 0–40, and responses were classified as 0–10 never; 11–20 sometimes; ≥ 21 several or permanent. We analysed the level of financial stress through two questions: a) ‘If you should suddenly find yourself in a situation where you had to find 20,000 Swedish kronor in one week, would you manage it?’ (yes was scored as 0 and no as 1) and b) ‘During the last 12 months, have you ever had difficulty managing regular expenses for food, rent, bills, etcetera?’ (yes was scored as 1 and no as 0). The scores were then summed up to create a financial stress score categorized as 0 for ‘no/low,’ 1 for ‘medium,’ and 2 for ‘high’ financial stress [15]. The occurrence of major adverse life events was assessed by asking participants if they had experienced any of the following life events in the previous 12 months or before: serious illness or accident in the family, concerns for someone close, death of someone close, own divorce or separation, had to change housing, had to change job, loss of job, felt insecure at work, serious financial problems, or received a criminal penalty. In the main analysis, only major adverse life events occurred in the last 12 months were considered. We used a questionnaire to determine the generalized locus of control or the perception of being able to control life circumstances in six areas (at work, in life, positive expectations in the next 5–10 years, feeling of being treated unfairly, unexpected changes in the last 10 years, and giving up trying to improve in life for a long time). To create a summary score, Likert-type responses of the 6 components in the locus of control were scored from 1 to 6, resulting in a total score ranging from 1 to 36, which was divided into quartiles. The first quartile represented the highest score (more internal control) and the fourth quartile the lowest locus of control (less internal control). Feeling depressed was assessed by asking if the participant had felt sad, blue, or depressed for two weeks or more in a row in the previous 12 months and if the answer was yes, a set of 7 additional questions were asked: loss of interest in things, feeling tired or having low energy, weight gain or loss, difficulty falling asleep, difficulty concentrating, thinking about death, and feeling worthless. For this set of questions, five or more affirmative responses were categorised as depression [15].

Subclinical atherosclerosis

The SCAPIS imaging protocol has been described in detail elsewhere and meets relevant guidelines [22]. In accordance with the Society of Cardiovascular Computed Tomography guidelines, an 18-segment coronary artery tree model was used to report coronary atherosclerosis from CCTA [24]. Only the 11 most relevant segments were considered in the analysis. Each segment was classified into categories including no stenosis, 1–49% stenosis, ≥ 50% stenosis, not assessable due to calcium blooming, technical failure, or segment missing [3]. Calcium blooming was rated as “1–49% stenosis” due to its tendency to overestimate stenosis, and the presence of a stent was rated as “≥ 50% stenosis”. In the present study, the participant’s level of coronary stenosis was dichotomized as no stenosis or ≥ 1% stenosis based on the segment with the highest level of stenosis. CAC images were analysed using an international standard protocol, and the calcium content in each coronary artery was measured to produce a total CAC score in Agatston units. CAC scores were categorized as 0 or ≥ 1 Agatston units [25, 26].

For carotid artery imaging, a standardized protocol was used with a Siemens Acuson S2000 ultrasound scanner equipped with a 9L4 linear transducer (Siemens, Forchheim, Germany) and analysed by regularly trained operators [22, 27]. Two-dimensional greyscale images were used to identify extracranial carotid plaques in the common carotid artery, bulb, and internal carotid artery on both the right and left sides. Only participants with valid readings for both carotid arteries were included in the analysis. In accordance with the Mannheim consensus, carotid plaque was defined as “any focal structure that encroaches into the arterial lumen of at least 0.5 mm or 50% of the surrounding intima-media thickness value or demonstrates a thickness > 1.5 mm as measured from the media-adventitia interface to the intima-lumen interface” [27]. Participants in SCAPIS were classified as having no plaque or any carotid plaque; based on the absence or presence of carotid plaques.

Covariates

Age, sex (woman or man), site (Gothenburg, Linköping, Malmö/Lund, Stockholm, Umeå, and Uppsala), educational level (achieved highest level of education: no formal, primary, secondary, or university level), current marital status (single, divorced, married, or widow/widower) and alcohol intake (frequency, and number of drinks in a typical day) were registered.

Cardiovascular health assessed by Life’s Essential 8

Associations with health behaviors and health factors which are linked to CVD were assessed using the LE8 cardiovascular health score developed by the American Heart Association [28]. The LE8 score consists of four behaviors (diet, physical activity, nicotine exposure, and sleep health), and four factors (body mass index [BMI], non-high-density lipoprotein cholesterol [non-HDL], blood glucose, and blood pressure).

A detailed protocol about the measurement and calculation of LE8 health behaviors and health factors in SCAPIS has been previously published [29]. Diet score was calculated using the Mediterranean Eating Pattern for Americans score [30] using a web-based questionnaire (MiniMeal-Q), and physical activity was assessed using a tri-axial accelerometer (Actigraph GT3X+, wGT3X+, and wGT3X-BT) worn by participants during seven days [31]. Nicotine exposure was assessed using questions about the current and former smoking status, and information about the smoking habit of cohabitants. Sleep health was measured by asking about the number of hours of sleep per night and problems during sleep time.

Factors were measured using standardized methods and laboratory techniques for BMI, blood lipids, blood glucose, and blood pressure [29]. According to the American Heart Association, the 8 components of LE8 were ranked from 0 to 100, with the higher scores indicating better cardiovascular health. In consonance with the American Heart Association, the LE8 score was calculated as the unweighted average of all present components, and a minimum of 7 components was considered necessary to compute the overall LE8 score.

Furthermore, two separate scores were calculated for LE8 behaviors and LE8 factors, with a range from 0 to 100. These scores were determined by taking the unweighted average of all present components in behaviors and factors, respectively.

Statistical analysis

We conducted a complete case analysis on all 25,658 participants having data on at least one psychological factor, and complete covariates. Descriptive characteristics of study participants are presented as mean ± standard deviation or frequencies (percentages). The associations between psychological factors and coronary atherosclerosis and carotid plaques were analysed through logistic regression and expressed as odds ratios (ORs) with their 95% confidence intervals (95% CI). For each psychological factor we fit an individual model. Three models with progressive adjustment for potential confounders were fitted. Model 1 was adjusted for sex, age, and site and model 2 was adjusted for model 1 plus educational level and marital status. To examine whether the association between psychological factors and subclinical atherosclerosis was independent of health behaviors, we also fitted a model 3 in which we accounted for model 2 plus alcohol, smoking, BMI, diet, physical activity, and sleep. A linear regression analysis was done as well, adjusted for model 2 (sex, age, site, educational level, and marital status), to examine the associations of psychological factors on cardiovascular health according to LE8 components. The results are presented in the form of standardized beta coefficients (β) and their corresponding p-values. To test whether sex or socioeconomic status modify the association between psychological factors and the outcomes (atherosclerosis y LE8 score), we examined the interactions between psychological factors in relation to sex, education level and unemployment in adjusted models (model 2 and model 3). In general, we found very little evidence of an interaction between phycological factors and sex, educational level, or unemployment in relation to atherosclerosis or cardiovascular health. Therefore, we performed the analyses without stratifying the sample. Finally, we performed a sensitivity analysis for the associations of a stressful life event on life events that occurred less or more than 12 months ago. The analyses were performed using IBM SPSS version 28 (Armonk, NY: IBM Corp). All statistical tests were two-sided and p < 0.05 was considered statistically significant.

Results

Descriptive statistics

Table 1 presents descriptive data on the study population. A total of 25,658 participants were included in the analyses, with 13,388 women (52.2%) and 12,270 men (47.8%). The mean age of the population was 57.5 ± 4.3 years. Approximately, 12.0% of the participants were current smokers, while 36.6% were ex-smokers, and more than half had never smoked. Almost half of the participants had a university degree, and 74.8% of the participants were married. In relation to psychological factors, most participants reported experiencing periods of stress in their lives, both overall and at work, with a high percentage reporting permanent stress at work. Feeling depressed was reported by 27.7% of the participants, with a higher proportion among women compared to men (34.6% vs. 20.1%). Among those who presented depressive feelings, 14.9% of the participants reported having 5 or more indicators of depression.

Table 1 Clinical characteristics of the study sample by sex
Full size table

For subclinical atherosclerosis, 42.1% of participants had any coronary stenosis measured by CCTA, with a higher proportion in men (55.5%) than women (29.1%). Similarly, CAC score ≥ 1 was found in 39.8% of participants, with a higher proportion of men (53.2%) than women (27.1%). In addition, some type of carotid plaques was present in 54.9% of the participants.

Psychological factors and coronary atherosclerosis

Figure 1 presents data on the associations between psychological factors and subclinical coronary atherosclerosis measured as CCTA stenosis and CAC scores (detailed data in Supplementary Table 1). In model 1, general stress or stress at work did not show a statistically significant association with subclinical coronary atherosclerosis. However, individuals experiencing little or moderate/severe financial stress had significantly greater odds of having CCTA stenosis (OR: 1.15, 95% CI: 1.04–1.28) and an elevated CAC score (OR: 1.17, 95% CI: 1.05–1.31). Furthermore, the highest category of locus of control (more internal) was associated with greater odds of CCTA stenosis (OR: 1.21, 95% CI: 1.10–1.32) and an elevated CAC score (OR: 1.18, 95% CI: 1.07–1.29) compared to the lowest category. Finally, feeling depressed was related to have higher ORs of CCTA stenosis (OR: 1.12, 95% CI: 1.05–1.20) and an elevated CAC score (OR: 1.12, 95% CI: 1.05–1.20). However, all the abovementioned associations in model 1 for CCTA stenosis and CAC were attenuated and not statistically significant in model 3. In a sensitivity analysis, we separated the associations of a stressful life event into life events that took place less or more than 12 months ago (Supplementary Table 2) and in agreement with our main analyses, there were no associations between stressful life events and CCTA stenosis.

Fig. 1
figure 1

Psychological factors and coronary atherosclerosis

The logistic regression models show the odds ratios for the associations between psychological factors and (coronary computed tomographic angiography) CCTA stenosis and (coronary artery calcium) CAC scores ≥ 1. Model 1 adjusted for sex, age, and site; Model 3 adjusted for model 1 plus educational level, marital status, alcohol, smoking, BMI, diet, physical activity, and sleep

Full size image

Psychological factors and carotid atherosclerosis

Associations of psychological factors with carotid atherosclerosis are presented in Figure. 2 (detailed data in Supplementary Table 3). Generally, the results were comparable to those observed for coronary atherosclerosis. Thus, there was some evidence for associations between financial stress and depression with carotid plaques. However, these associations were attenuated and not statistically significant in model 3.

Fig. 2
figure 2

Psychological factors and carotid atherosclerosis

The logistic regression model shows the odds ratios of the different psychological factors on any carotid plaques. Model 1 adjusted for sex, age, and site; Model 3 adjusted for model 1 plus educational level, marital status, alcohol, smoking, BMI, diet, physical activity, and sleep

Full size image

Psychological factors and cardiovascular health assessed by Life’s Essential 8

Table 2 presents the results of the linear regression analyses between psychological factors with LE8. The results show an inverse association between most of the psychological factors with the total LE8 score as well as with the health behavior and factor scores. For instance, experiencing constant general stress, as compared to never/one time, was associated with lower LE8 score (β = -0.090, p < 0.001), which reflects a lower score in both health behaviors (β = -0.116 p < 0.001) and health factors (β = -0.039 p < 0.001). In addition, Supplementary Tables 4 and 5 show the associations of psychological factors with the 8 individual components of LE8 behaviors and factors, respectively. Generally, higher scores in stress, locus of control or depression were associated with worse scores in most of the components of LE8, and the results when adjusting for model 2 and model 3 were quite comparable. In accordance with Table 2, the associations of psychological factors were generally stronger for LE8 behaviors than for LE8 factors.

Table 2 Linear regression to examine the relationship of psychological factors with total, behavior, and factor scores of Life’s Essential 8
Full size table

Discussion

This large population-based study investigated the association of psychological factors with coronary and carotid atherosclerosis as well as cardiovascular health measured by the LE8 concept. The results showed an association of financial stress and locus of control with coronary atherosclerosis, before adjusting for socioeconomic and important lifestyle variables. After adjustment (model 3), general stress, stress at work, financial stress, stressful life events, locus of control, feeling depressed and depression were not statistically significantly associated with an increased risk of atherosclerosis in the coronary arteries. However, an inverse association was observed between these psychological factors and the LE8 total score, as well as the LE8 behaviors and the LE8 factors scores.

Although some previous studies have established a link between psychological factors and cardiovascular disease or health [15, 32,33,34,35], few have examined the associations between psychological factors and atherosclerosis and these have reported conflicting results. For instance, in consonance with our results, a cross-sectional study of 1,849 middle-aged individuals in the United States found no significant association between perceived stress and CAC [36]. Conversely, in a study involving 5,140 adult participants without prior cardiovascular disease, a correlation between perceived stress and CIMT was observed, particularly among unemployed individuals [37]. In the present study, we did not identify a significant interaction between unemployment or educational status and psychological factors in relation to atherosclerosis or cardiovascular health. Nevertheless, further research is warranted to explore whether socioeconomic status modify the association between psychological factors and atherosclerosis.

Regarding general stress, a study involving a relatively small sample (n = 150) of managers and office workers found no evidence of an association between higher global stress levels and the presence of plaques in the carotid arteries [38]. These results are comparable to ours which reported no evidence of a positive association between general stress and atherosclerosis in a large sample of middle-aged individuals. Previous cross-sectional studies have reported no associations between work-related stress or job strain with CAC [36, 39, 40] which agrees with our findings. However, there was some evidence of a link between greater depressive symptoms and CAC in a previous study of middle-aged men and women [36]. In addition, a meta-analysis including 15 observational studies and 32,884 participants found that diagnosed depression was weakly, yet statistically significantly associated with a higher CAC scores. Nonetheless, depressive symptoms did not show a statistically significant association [41]. To summarize, the findings of these previous cross-sectional studies generally support our findings suggesting that there is little evidence to support strong and robust associations of a wide range of psychological factors with atherosclerosis. However, our study is considerably larger than most previously published studies which would have enabled detection of also relatively weak associations.

Interestingly, the few associations between psychological factors and atherosclerosis that were statistically significant in model 1 (adjusted for age, sex, and site) were attenuated after adjustments for socioeconomic factors and health behaviors. However, our study proved a consistent association between psychological factors and LE8, a novel metric created by the American Heart Association to monitor cardiovascular health [28]. Thus, although this study does not indicate a direct contribution of psychological factors on atherosclerosis, the potential indirect association between psychological factors and atherosclerosis may be relevant via modification of health behaviors and health factors. In this sense, we observed that psychological factors (i.e., general stress, stress at work, financial stress, stressful life events, locus of control, feeling depressed and depression) were generally associated with worse health behaviors (diet, physical activity, smoking, sleep) and factors (BMI, lipid level, glucose, and blood pressure) which aligns with previous literature and may be highly relevant considering the strong association between LE8 and later CVD [42,43,44,45]. Thus, the above-mentioned association between psychological factors and health behaviors and factors may be a relevant mechanism that could, at least partly, mediate a potential longitudinal association between psychological factors and atherosclerosis. However, only few studies have examined longitudinal associations of psychological factors in relation with later atherosclerosis and these studies have been relatively small (n = 149–311) [46, 47]. Thus, although our study provide evidence for a lack of direct associations (i.e., independent of socioeconomic variables and cardiovascular risk factors) between a wide range of psychological factors and atherosclerosis cross-sectionally (i.e., independent of cardiovascular risk behaviors), further studies are needed to examine the longitudinal influence of such psychological factors on atherosclerosis development and progression. Regarding sex, we did not find a clear interaction for the association between psychological factors and atherosclerosis or cardiovascular health. Previous studies have often lacked sex stratification, and among those that did, no significant differences were observed between groups, which is consistent with our findings. Nevertheless, we identified one study reporting significant differences in the association of social exposure variables with biomarkers of coronary heart disease. Specifically, in women, passive work was associated with diastolic and systolic hypertension [39]. More research is needed to clarify the different contribution of sex in the association of psychological factors and atherosclerosis.

The study has several important strengths including the population-based sampling and the sample size which is larger than most comparable studies [36, 38,39,40, 46, 47]. Furthermore, the use of high-quality imaging (CCTA) to measure subclinical coronary atherosclerosis is another strength of the study. To our knowledge, this is the first time that has been studied the associations between psychological factors and CCTA stenosis. In addition, the calculation of the LE8 score fulfils the American Heart Association criteria by incorporating 8 components and employing objective and standardized methods to assess physical activity (accelerometry), BMI, blood lipids, blood glucose, and blood pressure [29]. However, smoking, diet, and sleep were self-reported and prone to certain recall bias although objective measures like polysomnography may be impractical for population-based studies.

Our study has also several limitations. For example, the observational and cross-sectional design preclude conclusions about causal relationships and thus further studies are needed. Furthermore, despite a relatively high participation rate, and like most studies, there was an underrepresentation of low socioeconomic areas which may somewhat limit the generalizability of the results. Given the ambitious nature of the SCAPIS study, which involved time-consuming assessments, it is possible that individuals with significantly worse levels in there might be an underrepresentation of people with a high degree of psychological factors may be underrepresented. In addition, information on different plaque phenotypes or plaque burden was not available. To conclude, while the findings presented here may be generalizable to a middle-aged population, they may not extend to younger individuals who have not yet developed a high degree of subclinical atherosclerosis.

Conclusion

This large population-based study showed no strong or consistent associations of psychological factors with coronary and carotid atherosclerosis, especially not after controlling for socioeconomic factors and health behaviors. However, the consistent associations of psychological factors with cardiovascular health (measured by LE8 behaviors and LE8 factors) may be relevant for participants’ future CVD risk. Thus, further studies are needed to elucidate the long-term effects of psychological factors on later atherosclerosis and cardiovascular health.

Data availability

The data underlying this article cannot be shared publicly due to legal reasons as well as the privacy of individuals who participated in the study. However, by contacting the study organization (www.scapis.org) or corresponding author, information will be provided regarding the procedures for accessing data following Swedish legislation.

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Acknowledgements

We thank the participants and staff of the SCAPIS project for their valuable contributions.

Funding

Open access funding provided by Linköping University.

The main funding body of The Swedish CArdioPulmonary bioImage Study (SCAPIS) is the Swedish Heart-Lung Foundation. The study is also funded by the Knut and Alice Wallenberg Foundation, the Swedish Research Council and VINNOVA (Sweden‘s Innovation Agency), the University of Gothenburg and Sahlgrenska University Hospital, Karolinska Institutet and Stockholm County council, Linköping University and University Hospital, Lund University and Skåne University Hospital, Umeå University and University Hospital, Uppsala University and University Hospital. SHF is supported by a Margarita Salas grant from the Autonomous University of Madrid.

Author information

Authors and Affiliations

  1. Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden

    Sara Higueras-Fresnillo, Ángel Herraiz-Adillo, Robin Öberg, Carl Johan Östgren, Karin Rådholm & Pontus Henriksson

  2. Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain

    Sara Higueras-Fresnillo

  3. Department of Biomedicine, Aarhus University, Aarhus, Denmark

    Viktor H. Ahlqvist & Daniel Berglind

  4. Department of Clinical Sciences in Malmö, Centre for Primary Health Care Research, Lund University, Lund, Sweden

    Cecilia Lenander

  5. Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden

    Patrik Wennberg

  6. Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden

    Josefin Wångdahl

  7. Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden

    Josefin Wångdahl

  8. Centre for Epidemiology and Community Medicine, Region Stockholm, Stockholm, Sweden

    Daniel Berglind

  9. Family medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

    Bledar Daka

  10. Centre of Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden

    Carl Johan Östgren

  11. The George Institute for Global Health, University of New South Wales, Sydney, Australia

    Karin Rådholm

  12. Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden

    Viktor H. Ahlqvist

Authors
  1. Sara Higueras-Fresnillo
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  2. Ángel Herraiz-Adillo
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  12. Pontus Henriksson
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Contributions

SHF, AHA, VHA, KR, and PH contributed to the conception and design of the study. CJÖ, KR and PH contributed to data acquisition. SHF, AHA and PH conducted the statistical analysis while VHA, RÖ, CL, PW, JW, DB, BD, CJÖ, KR and PH contributed to data analysis and interpretation. SHF and PH drafted the manuscript, which was reviewed and revised by AHA, VHA, RÖ, CL, PW, JW, DB, BD, CJÖ, and KR. All authors approved the final version of the manuscript.

Corresponding author

Correspondence to Sara Higueras-Fresnillo.

Ethics declarations

Ethics approval and consent to participate

The Swedish Ethical Review Authority granted ethical approval for this work (reference numbers: 2021-06408-01 and 2022-04375-02). The participants provided their written informed consent to participate in this study.

Competing interests

The authors declare no competing interests.

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Higueras-Fresnillo, S., Herraiz-Adillo, Á., Ahlqvist, V.H. et al. Associations of psychological factors with atherosclerosis and cardiovascular health in middle-age: the population-based Swedish CArdioPulmonary bioImage study (SCAPIS). BMC Public Health 24, 1455 (2024). https://doi.org/10.1186/s12889-024-18924-w

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BMC Public Health

ISSN: 1471-2458

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