Modifiable Health Risk Factors Research Articles

The prevalence of chronic conditions associated with modifiable health risk factors in corporate employees in South Africa

The Sunday Times Discovery Healthiest Company Index Survey collected a dataset of 13 578 responses from corporate employees in 101 companies. This dataset has been used to assess the prevalence of self-reported modifiable health-risk factors and the association with chronic conditions. The analysis indicates that there is a greater likelihood of an individual reporting a chronic condition where their lifestyle risk factors are outside of the healthy range. This suggests that there are opportunities to manage the costs of health insurance, medical expenses and productivity losses by applying risk management tools aimed at addressing modifiable risk factors.

Understanding the Early Signs of Chronic Disease by Investigating the Overlap of Mental Health Needs and Adolescent Obesity.

ObjectiveChildhood obesity has reached epidemic proportions with two to three-fold increases in prevalence in the past three decades. Sedentary lifestyles and nutrition have been linked to these increases though little is known about mental health illnesses in children and teens which may be precursors to negative modifiable health risk factors. The objective of this study was to investigate for a potentially more clinically practical indicator of depression over a multi-item screen in respect to reporting of overweight and obesity in adolescents. This study further investigated modifiers to this association and stability of association.MethodThis cross-sectional study aggregated 2007/2009 California Health Interview Survey data (n = 6,917 adolescents). Univariate analyses of population characteristics and modifiable behaviors with obesity/overweight and depression are presented. Multivariable weighted logistic regression was used to compare the adjusted odds of overweight and obesity for those children with reported depression.ResultsAfter controlling for gender, race/ethnicity, age, and modifiable behaviors, there was a statistically significant relationship between reported depression and overweight/obesity (OR = 1.24; 95% CI = 1.04, 1.49). This effect size was consistent in hierarchical models overall and stratified by gender.ConclusionsOverweight and obesity in adolescents should be understood clinically in the context of depression and other mental health illness. This study highlights a routine primary care or parental screening assessment that could indicate tendencies in adolescent boys and girls which may be precursors to overweight or obesity. Further research should be conducted to identify ways for integrating adolescent mental health screens into primary care.

Sociodemographic and socioeconomic patterns of chronic non-communicable disease among the older adult population in Ghana

BackgroundIn Ghana, the older adult population is projected to increase from 5.3% of the total population in 2015 to 8.9% by 2050. National and local governments will need information about non-communicable diseases (NCDs) in this population in order to allocate health system resources and respond to the health needs of older adults.DesignThe 2007/08 Study on global AGEing and adult health (SAGE) Wave 1 in Ghana used face-to-face interviews in a nationally representative sample of persons aged 50-plus years. Individual respondents were asked about their overall health, diagnosis of 10 chronic non-communicable conditions, and common health risk factors. A number of anthropometric and health measurements were also taken in all respondents, including height, weight, waist and hip circumferences, and blood pressure (BP).ResultsThis paper includes 4,724 adults aged 50-plus years. The highest prevalence of self-reported chronic conditions was for hypertension [14.2% (95% CI 12.8–15.6)] and osteoarthritis [13.8%, (95% CI 11.7–15.9)]. The figure for hypertension reached 51.1% (95% CI 48.9–53.4) when based on BP measurement. The prevalence of current smokers was 8.1% (95% CI 7.0–9.2), while 2.0 (95% CI 1.5–2.5) were infrequent/frequent heavy drinkers, 67.9% (95% CI 65.2–70.5) consume insufficient fruits and vegetables, and 25.7% (95% CI 23.1–28.3) had a low level of physical activity. Almost 10% (95% CI 8.3–11.1) of adults were obese and 77.6% (95% CI 76.0–79.2) had a high-risk waist-to-hip ratio (WHR). Risks from tobacco and alcohol consumption continued into older age, while insufficient fruit and vegetable intake, low physical activity and obesity increased with increasing age. The patterns of risk factors varied by income quintile, with higher prevalence of obesity and low physical activity in wealthier respondents, and higher prevalence of insufficient fruit and vegetable intake and smoking in lower-income respondents. The multivariate analysis showed that only urban/rural residence and body mass index (BMI) were common determinates of both self-reported and measured hypertension, while all other determinants have differing patterns.ConclusionsThe findings show a high burden of chronic diseases in the older Ghanaian population, as well as high rates of modifiable health risk factors. The government could consider targeting these health behaviors in conjunction with work to improve enrolment rates in the National Health Insurance Scheme.

NIMH Fosters ‘Practice-Ready’ Solutions to Integrating Primary, MH Care

Research at the interface of mental health and primary care should focus on generating knowledge that decision makers need and incorporating practice-based evidence.

Ten Modifiable Health Risk Factors Are Linked To More Than One-Fifth Of Employer-Employee Health Care Spending

An underlying premise of the Affordable Care Act provisions that encourage employers to adopt health promotion programs is an association between workers' modifiable health risks and increased health care costs. Employers, consultants, and vendors have cited risk-cost estimates developed in the 1990s and wondered whether they still hold true. Examining ten of these common health risk factors in a working population, we found that similar relationships between such risks and total medical costs documented in a widely cited study published in 1998 still hold. Based on our sample of 92,486 employees at seven organizations over an average of three years, $82,072,456, or 22.4 percent, of the $366,373,301 spent annually by the seven employers and their employees in the study was attributed to the ten risk factors studied. This amount was similar to almost a quarter of spending linked to risk factors (24.9 percent) in the 1998 study. High risk for depression remained most strongly associated with increased per capita annual medical spending (48 percent, or $2,184, higher). High blood glucose, high blood pressure, and obesity were strongly related to increased health care costs (31.8 percent, 31.6 percent, and 27.4 percent higher, respectively), as were tobacco use, physical inactivity, and high stress. These findings indicate ongoing opportunities for well-designed and properly targeted employer-sponsored health promotion programs to produce substantial savings.

Prevalence of smoking and other health risk factors in people attending residential substance abuse treatment

People attending substance abuse treatment have an elevated risk of developing cardiovascular disease (CVD) and cancer. Consequently, there have been increasing calls for substance abuse treatment services to address smoking. The current study examined smoking behaviours of people attending residential substance abuse treatment. Additionally, the study examined rates of other potentially modifiable health risk factors for the development of CVD and cancer. A cross-sectional survey was completed by participants attending Australian Salvation Army residential substance abuse treatment services (n = 228). Rates of smoking, exercise, dietary fat intake, body mass index and depression were identified and compared with representative community populations. The relationship between length of treatment and changes in these variables was also examined. When compared with the Australian population, participants were much more likely to be current smokers. They also showed higher rates of dietary fat intake, and having had a previous diagnosis of a depressive disorder. Encouragingly, participants were more likely to be engaging in regular exercise. Over a third of all smokers reported having increased their smoking since attending the residential program, with correlational analysis suggesting that nicotine dependence was increasing the longer participants were in treatment. People attending substance abuse treatment show extremely high rates of smoking (77%). With the large majority of participants showing multiple risk factors for CVD, it is important that residential services consider strategies to address smoking and the other potentially modifiable health risk factors in an integrated fashion.

Lifestyle Risk Factors Predict Disability and Death in Healthy Aging Adults

Background Associations between modifiable health risk factors during middle age with disability and mortality in later life are critical to maximizing longevity while preserving function. Positive health effects of maintenance of normal weight, routine exercise, and nonsmoking are known for the short and intermediate term. We studied the effects of these risk factors into advanced age. Methods A cohort of 2327 college alumnae aged 60 years or more was followed annually (1986-2005) by questionnaires addressing health risk factors, history, and Health Assessment Questionnaire disability. Mortality data were ascertained from the National Death Index. Low-, medium-, and high-risk groups were created on the basis of the number (0, 1, ≥2) of health risk factors (overweight, smoking, inactivity) at baseline. Disability and mortality for each group were estimated from unadjusted data and regression analyses. Multivariable survival analyses estimated time to disability or death. Results The medium- and high-risk groups had higher disability than the low-risk group throughout the study ( P < . 001). Low-risk subjects had onset of moderate disability delayed 8.3 years compared with high-risk subjects. Mortality rates were higher in the high-risk group (384 vs 247 per 10,000 person-years). Multivariable survival analyses showed the number of risk factors to be associated with cumulative disability and increased mortality. Conclusion Seniors with fewer behavioral risk factors during middle age have lower disability and improved survival. These data document that the associations of lifestyle risk factors on health continue into the ninth decade.

A Collaborative University Model for Employee Wellness

Universities are taking a more active approach in understanding and monitoring employees’ modifiable health risk factors and chronic care conditions by developing strategies to encourage employees to start and sustain healthy behaviors. WellBama, the University of Alabama's signature health and wellness program, utilizes a collaborative model in partnership with select colleges and departments to implement strategies to improve employees’ health status. The program provides onsite health screenings and assessments, timely health advising sessions, assistance in setting and monitoring individual health goals to promote improved health, and preventive examination referrals.

Pathways between socioeconomic status and modifiable risk factors among African American smokers.

Although socioeconomic status is a major contributing factor to health disparities, the mechanisms through which socioeconomic status influences health remain unclear. The purpose of the present study was to evaluate an a priori conceptual model of the pathways between socioeconomic status and modifiable health risk factors in a sample of 399 African Americans seeking smoking cessation treatment. A latent variable modeling approach was utilized to characterize the interrelationships among socioeconomic status, neighborhood disadvantage, social support, negative affect/perceived stress, and three specific modifiable risk factors (i.e., overweight/obesity, insufficient physical activity, at-risk drinking). Findings indicated that neighborhood disadvantage, social support, and negative affect/perceived stress function as pathways linking socioeconomic status and modifiable risk factors among African American smokers, and negative affect/perceived stress appears to play a key mediating role. Policy, community, and individual-level interventions may attenuate the impact of socioeconomic status on health by targeting intermediate psychosocial, environmental, and behavioral pathways.

Creating a Health Care Team to Manage Chronic Medical Illnesses in Patients With Severe Mental Illness

Patients with severe mental illnesses have higher morbidity rates and shorter life spans than the general population, due in part to modifiable risk factors. Psychiatrists should understand the increased health risks that patients with severe mental illness face due to their psychiatric diagnoses, personal health behaviors, and genetic risks, and how these risks are exacerbated by a fragmented health care system. Professional societies should develop guidelines for monitoring these health risks, and accrediting bodies should monitor adherence to these guidelines. Mental health providers should help improve the integration of primary care and mental health care and implement treatment strategies for changing modifiable health risk factors in their patients with severe mental illness.

The Relationship Between Modifiable Health Risk Factors and Medical Expenditures, Absenteeism, Short-Term Disability, and Presenteeism Among Employees at Novartis

To quantify the impact of health risks on medical care and productivity costs in an employed population. Health risk, medical care, and productivity data were obtained for 5875 Novartis employees in 2005-2006. Factor analysis was performed to identify relationships among health risks. Multiple regression analyses were applied to estimate relationships between combined risk factors and costs. We found a significant and consistent association among three factors (high biometric laboratory values, cigarette and alcohol use, and poor emotional health) and increased presenteeism for both men and women and increased absenteeism for women. Medical care expenditures were 13-22% higher for men and women at risk for the high biometric laboratory values and the emotional health factor. There is a potential for medical and productivity savings for employers able to reduce health risks among their workers.

Modifiable health risk factors and medical expenditures – The case of Taiwan

To contain escalating healthcare spending has become a great challenge for many countries around the world. Among all factors influencing medical costs, extensive studies have shown that adoption of healthy lifestyles such as not smoking, moderate drinking, eating healthy food, and exercising regularly can contribute to good health and lower the odds of having diseases that result in higher medical spending. The goal of this paper is to explore the relationship between modifiable risk factors and healthcare costs in Taiwan. A two-part model is employed to estimate the association between modifiable risk factors and medical expenditures. A logit model is used in the first stage of estimation and a generalized linear model is used in the second stage of estimation. Linking the 2001 National Health Interview Survey (NHIS) and the claims data in the National Health Insurance Research Database (NHIRD) in Taiwan, I find some significant associations between several lifestyle variables and medical expenditures. Former smokers are found to have higher probability of using medical care and incur higher medical expenses. People with exercise habits are less likely to use inpatient care services, and they incur lower inpatient expenses. Therefore, healthcare policies promoting non-smoking and physical activities should be used in Taiwan to curb rising expenditures and to achieve better care for people with chronic diseases.

Economic burden of physical inactivity: healthcare costs associated with cardiovascular disease

Increasingly important objectives for developed and especially for developing countries include increasing the numbers of individuals who do not smoke, who eat healthy diets and who are physically active at levels that are health enhancing. In developing countries, deaths from chronic disease are projected to increase from 56% of all deaths in 2005 to 65% by 2030 (driven largely driven by deaths due to cardiovascular and coronary heart disease); in developed countries, however, the increase is only from 87.5 to 88.5%. The data on physical inactivity presented in this review were derived primarily from World Health Organization (WHO) publications and data warehouses. The prevalence of physical inactivity at less than the levels recommended for enhancing health is high; from 17 to 91% in developing countries and from 4 to 84% in developed countries. In developed countries, physical inactivity is associated with considerable economic burden, with 1.5-3.0% of total direct healthcare costs being accounted for by physical inactivity. Other than on some exciting work in Brazil, there is little information on the effectiveness and cost-effectiveness of physical activity-enhancement strategies in developing countries. The WHO has signaled a shift from the treatment of illness to promotion of health, with an emphasis on changing modifiable health-risk factors, including smoking, unhealthy diets and physical inactivity: the real question, especially for developing countries, is 'what is the future healthcare cost of not encouraging healthier lifestyles today?'

Joint impact of health risks on health care charges: 7-year follow-up of National Health Insurance beneficiaries in Japan (the Ohsaki Study)

Background. The objective of this study was to examine the joint impact of modifiable health-risk factors such as smoking, obesity, and physical inactivity on direct health care charges. Method. We conducted a population-based prospective cohort study, with follow-up from 1995 to 2001. The participants were Japanese National Health Insurance (NHI) beneficiaries (26,110 men and women aged 40–79 years). Results. ‘No risk’ group defined as never-smoking, body mass index (BMI) 20.0–24.9 kg/m 2, and walking for ≥1 h/day had mean health care charges of $171.6 after adjustment for potential confounders. Compared with this group, the presence of smoking (SM; ever-smoking) alone, obesity alone (OB; BMI ≥25.0 kg/m 2), or physical inactivity (PI; walking for <1 h/day) alone were associated with a 8.3%, 7.1%, or 8.0% increase in health care charges, respectively. The combinations of the risks of SM and OB, SM and PI, OB and PI, and SM and OB and PI were associated with a 11.7%, 31.4%, 16.4%, and 42.6% increase in charges, respectively. Conclusion. Interventions to improve modifiable health-risk factors may be a cost-effective approach for reducing health care charges as well as improving people's health.

The association between work performance and physical activity, cardiorespiratory fitness, and obesity.

The purpose of this study was to test the association between lifestyle-related modifiable health risks (physical activity, cardiorespiratory fitness, and obesity) and work performance. Data were obtained from 683 workers. Dependent variables included number of work loss days, quantity and quality of work performed, overall job performance, extra effort exerted, and interpersonal relationships. Results indicated that higher levels of physical activity related to reduced decrements in quality of work performed and overall job performance; higher cardiorespiratory fitness related to reduced decrements in quantity of work performed, and a reduction in extra effort exerted to perform the work; obesity related to more difficulty in getting along with coworkers; severe obesity related to a higher number of work loss days. It is concluded that lifestyle-related modifiable health risk factors significantly impact employee work performance.

Chronic disease and injury in an agricultural county: The Keokuk County Rural Health Cohort Study.

The Keokuk County Rural Health Study (KCRHS) was designed as a 20-year, prospective cohort study focusing on chronic disease and injury in an agricultural southeastern Iowa county. The goals of the KCRHS are to prospectively describe, measure, and analyze prevalent rural and agriculturally related adverse health outcomes and their respective risk factors and to provide the basis for future community-based intervention programs to reduce disease and injury incidence. Methods of data collection included in-person interviews, medical screenings, and environmental assessments of homes and farms. All households studied were rural; comparisons were made among farm, rural nonfarm, and town households, between men and women, and between smokers and nonsmokers. The present paper reports selected adult baseline data from Round 1 of this study. Residents of farm households were somewhat younger and better educated than residents of rural nonfarm and town households; smoked less; were more likely to have ridden an all-terrain vehicle; and were more likely to report firearms in the home. Eighty-nine percent of the men and 66% of the women engaged in farming or did so in the past. Men more often reported hearing loss, were more often overweight and obese, more often reported an injury, less often reported asthma, and less often saw a medical practitioner. Women reported poorer emotional health and higher rates of depression symptoms. The KCRHS has identified several modifiable health outcomes and risk factors as candidates for further analysis and targets for community-based prevention and intervention programs.

The Impact of an Incentive-Based Worksite Health Promotion Program on Modifiable Health Risk Factors

A health promotion program consisting of an annual health screening and financial rebates for good health practices was offered to all 2540 employees of Salt Lake County in Utah. Changes in health risks were measured for the 304 full time employees who participated in assessments for four years. Significant improvements were seen in body fat, cholesterol, systolic and diastolic blood pressure, seat belt use, and overall physical health among the high risk group and the low risk group. There was a net increase in the number of people in the high risk group over the four year period.

Shining lights: studies that have most influenced the understanding of health promotion's financial impact.

To examine the literature from the past 20 years and identify those studies that support the economic merit of health promotion. A panel of experts was used to identify the top studies supporting the purpose of this article. Studies were chosen based on the following criteria: the study (1) examined the relationship between health risks and financial outcomes, or health promotion programs and financial outcomes; (2) provided strong and compelling financial data supporting the worth of health promotion; (3) had a high-quality methodology; (4) answered an important question or replicated important findings with superior methodology; and (5) represented U.S.-based initiatives published since 1980. After initially nominating a group of studies for consideration, panelists rated each on a scale from 1 to 3 representing their opinion of importance. Studies rating the highest were included for this discussion. Studies were analyzed by population characteristics, design, statistical tests, limitations, and results. This information was summarized for each identified article. A relationship between modifiable health risk factors and health care costs is supported by research. Health promotion interventions appear to provide positive financial returns, most notably for health care costs and absenteeism reduction. Private sector initiatives seem to be driving economic-based research. Overall, health promotion shows promising results for providing financial advantages for its sponsors; however, if this discipline is to show its true worth, considerable funding is needed from government or philanthropic sources to cover the substantial costs of quality research.

Health, safety, and productivity in a manufacturing environment.

The Health and Productivity Management model at International Truck and Engine Corporation includes the measurement, analysis, and management of the individual component programs affecting employee safety, health, and productivity. The key to the success of the program was the iterative approach used to identify the opportunities, develop interventions, and achieve targets through continuous measurement and management. In addition, the integration of multiple disciplines and the overall emphasis on employee productivity and its cost are key foci of the International Model. The program was instituted after economic and clinical services' analyses of data on International employees showed significant excess costs and a high potential for health care cost reductions based on several modifiable health risk factors. The company also faced significant challenges in the safety, workers' compensation, and disability areas. The program includes safety, workers' compensation, short-term disability, long-term disability, health care, and absenteeism. Monthly reports/analyses are sent to senior management, and annual goals are set with the board of directors. Economic impact has been documented in the categories after intervention. For example, a comprehensive corporate wellness effort has had a significant impact in terms of reducing both direct health care cost and improving productivity, measured as absenteeism. Workers' compensation and disability program interventions have had an impact on current costs, resulting in a significant reduction of financial liability. In the final phase of the program, all direct and indirect productivity costs will be quantified. The impact of the coordinated program on costs associated with employee health will be analyzed initially and compared with a "silo" approach.

Gender-specific effects of modifiable health risk factors on coronary heart disease and related expenditures. HERO Research Committee. Health Enhancement Research Organization.

There is a general lack of health-related research focusing on gender-specific differences within a working population. This research attempts to address that void. Our study relied on the Health Enhancement Research Organization (HERO) database, which consists of claims, enrollment information, and health risk data for 39,999 employees of six large employers. The research objective was to determine the gender-specific association between coronary heart disease (CHD) and (1) the prevalence of modifiable health risks and (2) medical expenditures. To accomplish this, the International Classification of Diseases, 9th Revision-Clinical Modification and Current Procedural Terminology codes were used to identify 2452 employees with CHD within the HERO database. These individuals made up the study group, which included 66% male and 34% female participants. Health risk data were obtained from voluntary participation in a health risk appraisal and biometric evaluation provided by the employers. Health risks evaluated were tobacco use, hypertension, obesity, elevated cholesterol, high blood glucose, sedentary lifestyle, stress, depression, and excessive use of alcohol. Descriptive and multivariate statistical techniques were used to analyze the HERO database. We found that obesity was the most consistent predictor of CHD. It was number one (of 10 health risks) in the male and female group, number two in the male-only group, and number one in the female-only group. High stress was the second most consistent predictor. There was no such consistency relative to medical expenditures. This lack of consistency across the male and female groups relative to the association between health risks and medical expenditures was demonstrated for nearly all other health risks evaluated. This study suggests that within a group of employees with CHD, there are important similarities and differences between men and women with respect to the prevalence of risk factors and the association between health risks and medical expenditures.