Dataset Information

What are the determinants for individuals to undergo cardiovascular disease health checks? A cross sectional survey.

ABSTRACT:

Background

There is a need to improve public's participation in health checks for early identification of individuals at high risk of CVD for prevention. The objective of this study is to identify significant determinants associated with individuals' intention to undergo CVD health checks. These determinants could be used to develop effective strategies to improve CVD health check participation.

Methods

This was a cross sectional survey using mall intercept interviews. It was carried out in a hypermarket surrounded by housing estates with a population of varying socioeconomic backgrounds. Inclusion criteria were Malaysian nationality and age 30 years and older. The validated CVD health check questionnaire was used to assess participants' intention and the determinants that influenced their intention to undergo CVD health checks.

Results

A total of 413 participants were recruited. The median age of the participants was 45 years (IQR 17 years) and 60% of them were female. Participants indicated they were likely (45.0%) or very likely (38.7%) to undergo CVD health checks while 16.2% were not sure, unlikely or very unlikely to undergo health checks. Using ordinal regression analysis, perception of benefits, drawbacks of CVD health checks, perception of external barriers and readiness to handle outcomes following CVD health checks were the significant determinants of individuals' intention to undergo CVD health checks.

Conclusions

To improve individuals' participation in CVD health checks, we need to develop strategies to address their perception of benefits and drawbacks of CVD health checks, the perceived external barriers and their readiness to handle outcomes following CVD health checks.

SUBMITTER: Cheong AT

PROVIDER: S-EPMC6085058 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

What are the determinants for individuals to undergo cardiovascular disease health checks? A cross sectional survey.

Cheong Ai Theng AT Khoo Ee Ming EM Liew Su May SM Chinna Karuthan K

PloS one 20180809 8

<h4>Background</h4>There is a need to improve public's participation in health checks for early identification of individuals at high risk of CVD for prevention. The objective of this study is to identify significant determinants associated with individuals' intention to undergo CVD health checks. These determinants could be used to develop effective strategies to improve CVD health check participation.<h4>Methods</h4>This was a cross sectional survey using mall intercept interviews. It was carr ...[more]

PMID: 30092064

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Project description:BackgroundUndergo a health check for cardiovascular disease (CVD) is an important strategy to improve cardiovascular (CV) health. Men are reported to be less likely to undergo cardiovascular disease (CVD) health check than women. Gender difference could be one of the factors influencing health seeking behaviour of men and women. We aimed to identify gender differences in factors influencing the intention to undergo CVD health checks.MethodsThis was a cross-sectional survey using mall intercept interviews. Malaysians aged ≥30 years without known CVD were recruited. They were asked for their intention to undergo CVD health checks and associated factors. The factors included seven internal factors that were related to individuals' attitude, perception and preparedness for CVD health checks and two external factors that were related to external resources. Hierarchical ordinal regression analysis was used to evaluate the importance of the factors on intention to undergo CVD health checks, for men and women separately.Results397 participants were recruited, 60% were women. For men, internal factors explained 31.6% of the variances in likeliness and 9.6% of the timeline to undergo CVD health checks, with 1.2% and 1.8% added respectively when external factors were sequentially included. For women, internal factors explained 18.9% and 22.1% of the variances, with 3.1% and 4.2% added with inclusion of the external factors. In men, perceived drawbacks of health checks was a significant negative factor associated with likeliness to undergo CVD health checks (coefficient = -1.093; 95%CI:-1.592 to -0.594), and timeline for checks (coefficient = -0.533; 95%CI:-0.975 to -0.091). In women, readiness to handle outcomes following health checks was significantly associated with likeliness to undergo the checks (coefficient = 0.575; 95%CI: 0.063 to 1.087), and timeline for checks (coefficient = 0.645; 95%CI: 0.162 to 1.128). Both external factors 1) influence by significant others (coefficient = 0.406; 95%CI: 0.013 to 0.800) and 2) external barriers (coefficient = -0.440; 95%CI:-0.869 to -0.011) were also significantly associated with likeliness to undergo CVD health checks in women.ConclusionsBoth men and women were influenced by internal factors in their intention to undergo CVD health checks, and women were also influenced by external factors. Interventions to encourage CVD health checks need to focus on internal factors and be gender sensitive.

Project description:BackgroundInterest in and funding for digital health interventions have rapidly grown in recent years. Despite the increasing familiarity with mobile health from regulatory bodies, providers, and patients, overarching research on digital health adoption has been primarily limited to morbidity-specific and non-US samples. Consequently, there is a limited understanding of what personal factors hold statistically significant relationships with digital health uptake. Moreover, this limits digital health communities' knowledge of equity along digital health use patterns.ObjectiveThis study aims to identify the social determinants of digital health tool adoption in Georgia.MethodsWeb-based survey respondents in Georgia 18 years or older were recruited from mTurk to answer primarily closed-ended questions within the following domains: participant demographics and health consumption background, telehealth, digital health education, prescription management tools, digital mental health services, and doctor finder tools. Participants spent around 15 to 20 minutes on a survey to provide demographic and personal health care consumption data. This data was analyzed with multivariate linear and logistic regressions to identify which of these determinants, if any, held statistically significant relationships with the total number of digital health tool categories adopted and which of these determinants had absolute relationships with specific categories.ResultsA total of 362 respondents completed the survey. Private insurance, residence in an urban area, having a primary care provider, fewer urgent emergency room (ER) visits, more ER visits leading to inpatient stays, and chronic condition presence were significantly associated with the number of digital health tool categories adopted. The separate logistic regressions exhibited substantial variability, with 3.5 statistically significant predictors per model, on average. Age, federal poverty level, number of primary care provider visits in the past 12 months, number of nonurgent ER visits in the past 12 months, number of urgent ER visits in the past 12 months, number of ER visits leading to inpatient stays in the past 12 months, race, gender, ethnicity, insurance, education, residential area, access to the internet, difficulty accessing health care, usual source of care, status of primary care provider, and status of chronic condition all had at least one statistically significant relationship with the use of a specific digital health category.ConclusionsThe results demonstrate that persons who are socioeconomically disadvantaged may not adopt digital health tools at disproportionately higher rates. Instead, digital health tools may be adopted along social determinants of health, providing strong evidence for the digital health divide. The variability of digital health adoption necessitates investing in and building a common framework to increase mobile health access. With a common framework and a paradigm shift in the design, evaluation, and implementation strategies around digital health, disparities can be further mitigated and addressed. This likely will begin with a coordinated effort to determine barriers to adopting digital health solutions.

Project description:ObjectivesOur objective was to determine the relationship between osteoarthritis (OA) and heart diseases (myocardial infarction (MI), angina, congestive heart failure (CHF)) and stroke using population-based survey data.DesignCross-sectional study.SettingCanadian Community Health Survey (CCHS).ParticipantsAdult participants in the CCHS cycles 1.1, 2.1 and 3.1 were included. CCHS provides nationally representative data on health determinants, health status and health system utilisation. We have identified 40 817 self-reported OA subjects and selected 1:1 matched non-OA respondents by age, sex and CCHS cycles.Main outcome measuresSelf-reported heart disease was the primary outcome and MI, angina, CHF and stroke were considered as secondary outcomes. Multivariable logistic regression models were used to estimate the ORs after adjusting for sociodemographic status, obesity, physical activity, smoking status, fruit and vegetable consumption, medication use, diabetes, hypertension and chronic obstructive pulmonary disease.ResultsThe mean age of OA cases was 66 years and 71.6% were women. OA exhibited increased odds of prevalent heart disease, and adjusted overall OR (95% CI) was 1.45 (1.36 to 1.54), 1.35 (1.21 to 1.50) among men and 1.51 (1.39 to 1.64) among women with OA. OA showed increased ORs for angina and CHF in both men and women, and for MI in women. ORs (95% CI) for men and women, respectively, were 1.08 (0.91 to 1.28) and 1.49 (1.28 to 1.75) for MI, 1.76 (1.43 to 2.17) and 1.84 (1.59 to 2.14) for angina, 1.50 (1.13 to 1.97) and 1.81 (1.49 to 2.21) for CHF, and 1.08 (0.83 to 1.40) and 1.13 (0.93 to 1.37) for stroke.ConclusionsPrevalent OA was associated with self-reported heart disease, particularly angina, and CHF in both men and women, after controlling for established risk factors for these conditions. This study provides a rationale for further investigation of the association between OA and heart disease in longitudinal studies for investigating possible biological and behavioural mechanisms.

Project description:Objective: To test whether demographic and health-related characteristics are associated with non-attendance of preventive health checks offered to individuals with low levels of education using proactive recruitment by the general practitioners. Design: A cross-sectional study. Setting: 32 general practice clinics in Copenhagen, Denmark. Subjects: A total of 549 individuals aged 45-64, with low levels of education, enrolled in the intervention group of a randomised controlled trial on preventive health checks offered by general practitioner. Main outcome measures: Non-attendance of the preventive health checks. Methods: (i) Descriptive characteristics of attendees and non-attendees and (ii) crude and adjusted multi-level logistic regression to examine associations of individual characteristics with non-attendance of preventive health checks. Results: Overall, 33% did not attend the prescheduled preventive health checks at their general practitioners. Non-attendees were more likely to live without a partner, be of non-Western origin, be daily smokers, have poor self-rated health, have higher pulmonary symptoms score, have increased level of stress, have low levels of self-efficacy, have metabolic risk factors or non-communicable diseases and have had no contact with their general practitioner within the past year. Conclusion: The findings suggest that, it is feasible to use general practitioners for recruiting individuals for preventive health checks. However, even in a trial targeting individuals with low levels of education, there are differences between attendees and non-attendees, with a more adverse health behaviour profile and worse health status observed among the non-attendees. KEY POINTS Current awareness • Non-attendance of preventive health checks offered to the general population is associated with low socioeconomic position and adverse health behaviours. Main statements • It is feasible to use general practitioners proactively in recruitment to preventive health checks offered to individuals with low socioeconomic positions. • In a trial targeting individuals with low levels of education, there were differences between attendees and non-attendees. • Non-attendance was associated with daily smoking, poor self-rated health, high stress and no contact with the general practitioner within the last year.

Project description:ObjectivesCardiovascular disease is a major cause of morbidity and mortality worldwide. Cardiovascular disease was responsible for over 17.9 million deaths in 2016, accounting for 31% of deaths globally and 37% of deaths in Saudi Arabia. With a lifetime risk exceeding 60% for the general population, healthcare professionals are continuously monitoring the health of others but often do not find time to care for themselves. This study aimed to assess the prevalence of cardiovascular risk factors; medical conditions, such as, hypertension and diabetes mellitus; stress; and attitudes and barriers against healthy lifestyle choices among healthcare professionals at King Abdulaziz University Hospital.MethodsA cross-sectional study based on a self-administered questionnaire was conducted among the staff at King Abdulaziz University Hospital over a period of 12 weeks. A validated questionnaire was adopted from a study that had previously been conducted in the United Kingdom.ResultsThe study included 400 healthcare workers, of whom, 78% were clinical staff and 22% were non-clinical staff. Approximately, two-thirds of the clinical staff were aged ⩽25 years, whereas 43.2% of the non-clinical staff were aged 26-35 years. Most of the clinical staff (70.5%) were female, compared to 56.8% of the non-clinical staff. Significantly higher rates of hypertension and smoking were observed among the non-clinical staff than among the clinical staff. However, no other significant differences were observed in the prevalence of diseases between the groups. Overall, poor lifestyle, in terms of low compliance with the recommended dietary and physical activity guidelines, was observed in both groups.ConclusionThe prevalence of cardiovascular risk factors among the clinical staff at King Abdulaziz University Hospital was not markedly different from that among the non-clinical staff, except the prevalence of hypertension and smoking, which was significantly higher among the non-clinical staff. Further studies that include staff from other institutions are recommended.

Project description:OBJECTIVE:The objective of this study is to assess the determinants of BCG vaccination in Ethiopia from 2016 Ethiopia Demographic and Health Survey (EDHS). SETTING:Since Ethiopia has nine regional states and two administrative cities, sample was taken from all the divisions. The population-based sample was intended to provide estimates of key indicators for the country. PARTICIPANT:The sampling frame used for the 2016 EDHS is the Ethiopia Population and Housing Census. From 15 683 women recorded in EDHS dataset, women with no child (n=10 379) were excluded from the study. Therefore, the total sample size for this study was 5304 women. The outcome variable was BCG immunisation status of children. RESULT:Out of the study participants (n=5304), the majority were in between 20 and 34 years of age (73.8%). The median age of the respondents was 28.4 (SD=±6.5) years old. Prevalence of BCG vaccination was 63.6% (n=3373) and BCG vaccination coverage in urban residents was higher (88%) than rural residents (57.3%). Mothers' age between 20 up to 34 (Adjusted odds ratio (AOR)=1.48; 95% CI: 1.13 to 1.93) and between 35 up to 49 (AOR=1.83; 95% CI: 1.35 to 2.46) were more likely to vaccinate their child's than those mothers' age less than 20. Mothers settled in urban areas were two times more likely to vaccinate their child's than those living in rural areas (AOR=1.94; 95% CI: 1.45 to 2.60). Mothers with greater antenatal visits show higher BCG vaccination, Antenatal Care (ANC) 4 and above (AOR=3.48; 95% CI: 2.91 to 4.15). BCG vaccination is higher for mothers delivered at non-governmental organisation health facility than home (AOR=2.9; 95% CI: 1.69 to 4.96). Maternal occupation and wealth index also had a significant association with BCG vaccination. CONCLUSION:BCG vaccination coverage, in this study, was lower and determinant factors for BCG vaccination were residence, mother's age, place of delivery, mother's antenatal visit, wealth index and mother's occupation.

Dataset Information

What are the determinants for individuals to undergo cardiovascular disease health checks? A cross sectional survey.

Background

Methods

Results

Conclusions

Publications

What are the determinants for individuals to undergo cardiovascular disease health checks? A cross sectional survey.

Similar Datasets

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