Predictors of successful, self-reported lifestyle changes in a defined middle-aged population: the Soderakra Cardiovascular Risk Factor Study, Sweden

An Assessment of Health Behaviours in Primary Care Patients: A Cross-Sectional Study

A healthy lifestyle is a key determinant of health, especially for people with chronic diseases such as diabetes or hypertension. The health behaviours which contribute to a healthy lifestyle include the following: regular physical activity, preventive examinations, maintaining a proper diet and avoiding the consumption of alcohol or cigarettes. They have a significant impact on the disease process, controlling symptoms and preventing complications. The aim of this study was to examine the health behaviours related to diet, physical activity and prevention among Polish primary health care patients and to identify predictors of health behaviours. For this reason, the standardized Health Behaviour Scale (HBS) questionnaire was used. The study was conducted among 269 patients (including 61.71% women) in primary health care facilities. The mean age of participants was 52.89 years (±17.76). The mean HBS score was 36.93 ± 9.66. A statistically significant association was found between HBS scores and such sociodemographic variables as education (p = 0.0061, r = 0.17), body mass index (p = 0.0018, r = -0.20, β = -0.36) and self-assessed economic status (p = 0.0094, r = 0.16). Women's health behaviours as measured by HBS were significantly better than men's (p < 0.001, β = -6.82). A special focus should be given to the groups manifesting poorer health behaviours (e.g., men, older people and persons with low socioeconomic status) by offering them tailored health-promoting interventions.

Development and Validation of a Health Behaviour Scale: Exploratory Factor Analysis on Data from a Multicentre Study in Female Primary Care Patients

Health behaviours are the most important proximal determinants of health that can be either promoting or detrimental to the health of individuals. To assess and compare health behaviours in different socioeconomic groups within the population, a comprehensive, valid, reliable, and culturally appropriate measure is needed. This study aimed to develop a health behaviour questionnaire and validate it in a sample of female patients over 45 years of age with cardiovascular disease (CVD). The development procedure encompassed the following stages: literature search and item generation, content validity testing (focus group and expert evaluation), and field testing. A preliminary 38-item Health Behaviour Scale (HBS) was developed and tested in a group of 487 female primary care patients over 45 years of age. An exploratory factor analysis (EFA) yielded a four-factor structure. Factors jointly accounted for 47% of the variance observed. The results confirmed very good internal consistency of the questionnaire. The Cronbach's alpha and McDonald's omega coefficients for the entire scale were 0.82 and 0.84, respectively. The factor and item structure of the final 16-item HBS reflects the specificity of the studied sample. This measure can be a useful tool for primary care practitioners and public health researchers by helping them to develop interventions and strategies to reinforce health-promoting behaviours.

The Role of Physical Activity in the Association Between Smoking Status and Quality of Life

OBJECTIVES

Nonsmoking status and physical activity have, individually, been shown to be associated with health-related quality of life (HRQoL). The objective of this study was to assess whether the relationship between smoking status and HRQoL is modified or influenced by physical activity.

METHODS

Data were extracted from the 2014 Behavioral Risk Factor Surveillance Survey dataset (N = 332680) in 2015. Logistic regression models were used to address study objectives. Health-related quality of life (HRQoL), measured using eight domains (general health, physical health, mental health, activity limitations, pain, depressive symptoms, anxiety, and vitality), was regressed on smoking status without and with adjustment for age, race, gender, education, marital status, income, employment, healthcare coverage, comorbidity, body mass index, flu vaccination, alcohol use, and physical activity. Smoking status by physical activity interaction term was added to the adjusted model and evaluated for significance.

RESULTS

There were significant smoking status by physical activity interaction effects on general health, physical health, activity limitations, and depressive symptoms domains. Among those who exercised, relative differences in the odds of a high HRQoL was smaller between former smokers and nonsmokers and larger between current smokers and nonsmokers when compared to those who did not exercise. Similarly, there were sharper relative differences between those who exercised and those who did not exercise among former smokers than among current smokers.

CONCLUSIONS

Smokers who successfully quit smoking (former smokers) may benefit from enhanced HRQoL that tends towards that of nonsmokers if they adopt physical activity in their daily routine.

IMPLICATIONS

Behavioral interventions that combine smoking cessation and physical activity may be more effective than either smoking cessation or physical activity alone in improving the quality of life measures such as overall, physical and mental health, and degree of limitation to activities due to poor health. Health care providers can support patients who successfully quit smoking to add exercise to their daily routine with the expectation of enhanced HRQoL.

Healthy lifestyles reduce suPAR and mortality in a Danish general population study

Background

The plasma level of the inflammatory biomarker soluble urokinase plasminogen activator receptor (suPAR) is a strong predictor of disease development and premature mortality in the general population. Unhealthy lifestyle habits such as smoking or unhealthy eating is known to elevate the suPAR level. We aimed to investigate whether change in lifestyle habits impact on the suPAR level, and whether the resultant levels are associated with mortality.

Results

Paired suPAR measurements from baseline- and the 5-year visit of the population-based Inter99 study were compared with the habits of diet, smoking, alcohol consumption, and physical activity. Paired suPAR measurements for 3225 individuals were analyzed by linear regression, adjusted for demographics and lifestyle habits. Compared to individuals with a healthy lifestyle, an unhealthy diet, low physical activity, and daily smoking were associated with a 5.9, 12.8, and 17.6% higher 5-year suPAR, respectively. During 6.1 years of follow-up after the 5-year visit, 1.6% of those with a low suPAR (mean 2.93 ng/ml) died compared with 3.8% of individuals with a high suPAR (mean 4.73 ng/ml), P <  0.001. In Cox regression analysis, adjusted for demographics and lifestyle, the hazard ratio for mortality per 5-year suPAR doubling was 2.03 (95% CI: 1.22-3.37).

Conclusion

Lifestyle has a considerable impact on suPAR levels; the combination of unhealthy habits was associated with 44% higher 5-year suPAR values and the 5-year suPAR was a strong predictor of mortality. We propose suPAR as a candidate biomarker for lifestyle changes as well as the subsequent risk of mortality.

Difficulties of Portuguese Patients Following Acute Myocardial Infarction: Predictors of Readmissions and Unchanged Lifestyles

PURPOSE

Myocardial infarction can occur due to known risk factors and lifestyle choices. The difficulties that patients experience after discharge can lead to readmission and nonadherence to lifestyle change. The purpose of this study was to analyze the difficulties experienced by patients after hospitalization due to myocardial infarction and to identify the predictors of readmission and unchanged lifestyles.

METHODS

The study used a mixed-methods design across 106 patients who had experienced a first episode of acute myocardial infarction. The data were collected from two patient interviews and the patients' medical records. A logistic regression was used to predict unchanged lifestyle and readmission.

RESULTS

In the first interview, 74.5% of the patients reported receiving information prior to discharge. Six months after discharge, 80.2% mentioned that they had changed their lifestyles, but only 59.4% reported that their health had improved, and 75.5% continued to have concerns regarding their health. Patients described difficulties with regard to psychological problems, family dynamics, professional issues, problems with managing cardiovascular symptoms, and complications associated with hospital interventions. A follow-up assessment revealed that 12.3% of patients had been readmitted for cardiovascular disease.

CONCLUSIONS

The analysis revealed significant predictors of readmission amongst patients with hypertension and three-vessel disease. Specifically, the number of people in the household, per capita income, and a lack of information/education provided at discharge as well as problems related to mental health after discharge predicted unchanged lifestyle. An educational program might be advantageous to clarify doubts and involve patients in their own disease management.

Barriers and Facilitators to the Uptake and Maintenance of Healthy Behaviours by People at Mid-Life: A Rapid Systematic Review

BACKGROUND

With an ageing population, there is an increasing societal impact of ill health in later life. People who adopt healthy behaviours are more likely to age successfully. To engage people in health promotion initiatives in mid-life, a good understanding is needed of why people do not undertake healthy behaviours or engage in unhealthy ones.

METHODS

Searches were conducted to identify systematic reviews and qualitative or longitudinal cohort studies that reported mid-life barriers and facilitators to healthy behaviours. Mid-life ranged from 40 to 64 years, but younger adults in disadvantaged or minority groups were also eligible to reflect potential earlier disease onset. Two reviewers independently conducted reference screening and study inclusion. Included studies were assessed for quality. Barriers and facilitators were identified and synthesised into broader themes to allow comparisons across behavioural risks.

FINDINGS

From 16,426 titles reviewed, 28 qualitative studies, 11 longitudinal cohort studies and 46 systematic reviews were included. Evidence was found relating to uptake and maintenance of physical activity, diet and eating behaviours, smoking, alcohol, eye care, and other health promoting behaviours and grouped into six themes: health and quality of life, sociocultural factors, the physical environment, access, psychological factors, evidence relating to health inequalities. Most of the available evidence was from developed countries. Barriers that recur across different health behaviours include lack of time (due to family, household and occupational responsibilities), access issues (to transport, facilities and resources), financial costs, entrenched attitudes and behaviours, restrictions in the physical environment, low socioeconomic status, lack of knowledge. Facilitators include a focus on enjoyment, health benefits including healthy ageing, social support, clear messages, and integration of behaviours into lifestyle. Specific issues relating to population and culture were identified relating to health inequalities.

CONCLUSIONS

The barriers and facilitators identified can inform the design of tailored interventions for people in mid-life.

Persistent pathogens linking socioeconomic position and cardiovascular disease in the US

BACKGROUND

Numerous studies have documented a strong inverse association between cardiovascular disease and socioeconomic position (SEP). Several infections are associated with both cardiovascular disease and SEP; hence infection may form an important link between SEP and cardiovascular disease. This study examines whether seropositivity to cytomegalovirus (CMV), to herpes simplex virus type-1 (HSV-1), and/or to both pathogens mediates the relationship between SEP and cardiovascular disease history in a nationally representative sample of the United States.

METHODS

We conducted a cross-sectional study of subjects > or =45 years of age, who were tested for seropositivity to CMV, HSV-1 or both pathogens and assessed for cardiovascular disease history in the National Health and Nutrition Examination Survey III. Cardiovascular disease history was defined as history of stroke, heart attack and/or congestive heart failure and SEP as education level.

RESULTS

SEP was associated with CMV, HSV-1 and seropositivity to both pathogens. CMV seropositivity was associated with cardiovascular disease history even after adjusting for confounders as well as SEP. The odds of reporting a history of cardiovascular disease for those with less than a high school education compared with those with more than a high school education decreased by 7.7% after adjusting for CMV (Sobel mediation test for CMV, P = 0.0006). In contrast, neither seropositivity to HSV-1 nor to both pathogens was associated with cardiovascular disease history after adjusting for SEP.

CONCLUSIONS

Persistent pathogens such as CMV infection may explain a portion of the relationship between SEP and cardiovascular disease in the United States. Further studies examining additional pathogens and sociobiological mechanisms are warranted.