Web-based self-assessment health tools: who are the users and what is the impact of missing input information?

BACKGROUND: Web-based health applications, such as self-assessment tools, can aid in the early detection and prevention of diseases. However, there are concerns as to whether such tools actually reach users with elevated disease risk (where prevention efforts are still viable), and whether inaccurate or missing information on risk factors may lead to incorrect evaluations. OBJECTIVE: This study aimed to evaluate (1) evaluate whether a Web-based cardiovascular disease (CVD) risk communication tool (Heart Age tool) was reaching users at risk of developing CVD, (2) the impact of awareness of total cholesterol (TC), HDL-cholesterol (HDL-C), and systolic blood pressure (SBP) values on the risk estimates, and (3) the key predictors of awareness and reporting of physiological risk factors. METHODS: Heart Age is a tool available via a free open access website. Data from 2,744,091 first-time users aged 21-80 years with no prior heart disease were collected from 13 countries in 2009-2011. Users self-reported demographic and CVD risk factor information. Based on these data, an individual's 10-year CVD risk was calculated according to Framingham CVD risk models and translated into a Heart Age. This is the age for which the individual's reported CVD risk would be considered "normal". Depending on the availability of known TC, HDL-C, and SBP values, different algorithms were applied. The impact of awareness of TC, HDL-C, and SBP values on Heart Age was determined using a subsample that had complete risk factor information. RESULTS: Heart Age users (N=2,744,091) were mostly in their 20s (22.76%) and 40s (23.99%), female (56.03%), had multiple (mean 2.9, SD 1.4) risk factors, and a Heart Age exceeding their chronological age (mean 4.00, SD 6.43 years). The proportion of users unaware of their TC, HDL-C, or SBP values was high (77.47%, 93.03%, and 46.55% respectively). Lacking awareness of physiological risk factor values led to overestimation of Heart Age by an average 2.1-4.5 years depending on the (combination of) unknown risk factors (P<.001). Overestimation was greater in women than in men, increased with age, and decreased with increasing CVD risk. Awareness of physiological risk factor values was higher among diabetics (OR 1.47, 95% CI 1.46-1.50 and OR 1.74, 95% CI 1.71-1.77), those with family history of CVD (OR 1.22, 95% CI 1.22-1.23 and OR 1.43, 95% CI 1.42-1.44), and increased with age (OR 1.05, 95% CI 1.05-1.05 and OR 1.07, 95% CI 1.07-1.07). It was lower in smokers (OR 0.52, 95% CI 0.52-0.53 and OR 0.71, 95% CI 0.71-0.72) and decreased with increasing Heart Age (OR 0.92, 95% CI 0.92-0.92 and OR 0.97, 95% CI 0.96-0.97) (all P<.001). CONCLUSIONS: The Heart Age tool reached users with low-moderate CVD risk, but with multiple elevated CVD risk factors, and a heart age higher than their real age. This highlights that Web-based self-assessment health tools can be a useful means to interact with people who are at risk of developing disease, but where interventions are still viable. Missing information in the self-assessment health tools was shown to result in inaccurate self-health assessments. Subgroups at risk of not knowing their risk factors are identifiable and should be specifically targeted in health awareness programs.

Feelings and intervention judgments as mediators in the risk perception-intention relationship.

OBJECTIVES: To explore the mediating role of measures of persuasion in the relationship between risk perceptions and intentions. METHODS: The first study included 413 obese subjects (mean age = 45.3 years); the second study, 781 overweight subjects (mean age = 46.6 years). All measures were assessed by self-report. RESULTS: Feelings and intervention judgments were mediators in the relationship between risk perceptions and intention to eat healthier, do more physical activity (study 1) and intention to reduce saturated fat (study 2). Feelings was the only mediator in the relationship between risk perceptions and intention to stop smoking (study 1). CONCLUSIONS: Future interventions targeting risk perceptions to increase intentions are likely to be more effective if subjects find the information emotionally impactful, credible, and engaging.

Trajectories of entering the metabolic syndrome: the framingham heart study.

BACKGROUND: We evaluated the progression of the metabolic syndrome (MetS) and its components, the trajectories followed by individuals entering MetS, and the manner in which different trajectories predict cardiovascular disease and mortality. METHODS AND RESULTS: Using data from 3078 participants from the Framingham Offspring Study (a cohort study) who attended examinations 4 (1987), 5 (1991), and 6 (1995), we evaluated the progression of MetS and its components. MetS was defined according to the Adult Treatment Panel III criteria. Using logistic regression, we evaluated the predictive ability of the presence of each component of the MetS on the subsequent development of MetS. Additionally, we examined the probability of developing cardiovascular disease or mortality (until 2007) by having specific combinations of 3 that diagnose MetS. The prevalence of MetS almost doubled in 10 years of follow-up. Hyperglycemia and central obesity experienced the highest increase. High blood pressure was most frequently present when a diagnosis of MetS occurred (77.3%), and the presence of central obesity conferred the highest risk of developing MetS (odds ratio, 4.75; 95% confidence interval, 3.78 to 5.98). Participants who entered the MetS having a combination of central obesity, high blood pressure, and hyperglycemia had a 2.36-fold (hazard ratio, 2.36; 95% confidence interval, 1.54 to 3.61) increase of incident cardiovascular events and a 3-fold (hazard ratio, 3.09, 95% confidence interval, 1.93 to 4.94) increased risk of mortality. CONCLUSIONS: Particular trajectories and combinations of factors on entering the MetS confer higher risks of incident cardiovascular disease and mortality in the general population and among those with MetS. Intense efforts are required to identify populations with these particular combinations and to provide them with adequate treatment at early stages of disease.

Using hypothetical data to assess the effect of numerical format and context on the perception of coronary heart disease risk.

PURPOSE: To test the hypothesis that responses to coronary heart disease (CHD) risk estimates are heightened by use of ratio formats, peer group risk information, and long time frames. DESIGN: Cross-sectional, experimental, between-factors design. SETTING: Three regions in England. SUBJECTS: A total of 740 men and women ages 30 to 70 years. MEASURES: Risk perception, "emotional" response, intention to change lifestyle. ANALYSIS: Logistic regression was used to investigate the impact of numerical format (ratio vs. percentage), peer group risk (personal vs. peer group), and time frame (10-year vs. 30-year) on risk perception. Analysis of variance was used to investigate the impact of these factors on emotional response and intention to change lifestyle questions. RESULTS: Higher perceived risk was observed when risk was presented as a ratio (p < .001) and when it was supplemented with peer group risk estimates (p = .006). Emotional responses to risk information were heightened when risk was presented as a ratio (p = .0004) and supplemented with peer group risk estimates (p = .002). Presentation with ratios also increased intention to make lifestyle changes (p = .047). CONCLUSION: Perception of CHD risk information is affected by the presentation format. Where absolute risks may appear low, use of ratios and supplementation of personal risk estimates with peer group risk may increase risk perception.

Rates and determinants of uptake and use of an internet physical activity and weight management program in office and manufacturing work sites in England: cohort study.

BACKGROUND: Internet-based physical activity (PA) and weight management programs have the potential to improve employees' health in large occupational health settings. To be successful, the program must engage a wide range of employees, especially those at risk of weight gain or ill health. OBJECTIVE: The aim of the study was to assess the use and nonuse (user attrition) of a Web-based and monitoring device-based PA and weight management program in a range of employees and to determine if engagement with the program was related to the employees' baseline characteristics or measured outcomes. METHODS: Longitudinal observational study of a cohort of employees having access to the MiLife Web-based automated behavior change system. Employees were recruited from manufacturing and office sites in the North West and the South of England. Baseline health data were collected, and participants were given devices to monitor their weight and PA via data upload to the website. Website use, PA, and weight data were collected throughout the 12-week program. RESULTS: Overall, 12% of employees at the four sites (265/2302) agreed to participate in the program, with 130 men (49%) and 135 women (51%), and of these, 233 went on to start the program. During the program, the dropout rate was 5% (11/233). Of the remaining 222 Web program users, 173 (78%) were using the program at the end of the 12 weeks, with 69% (153/222) continuing after this period. Engagement with the program varied by site but was not significantly different between the office and factory sites. During the first 2 weeks, participants used the website, on average, 6 times per week, suggesting an initial learning period after which the frequency of website log-in was typically 2 visits per week and 7 minutes per visit. Employees who uploaded weight data had a significant reduction in weight (-2.6 kg, SD 3.2, P< .001). The reduction in weight was largest for employees using the program's weight loss mode (-3.4 kg, SD 3.5). Mean PA level recorded throughout the program was 173 minutes (SE 12.8) of moderate/high intensity PA per week. Website interaction time was higher and attrition rates were lower (OR 1.38, P= .03) in those individuals with the greatest weight loss. CONCLUSIONS: This Web-based PA and weight management program showed high levels of engagement across a wide range of employees, including overweight or obese workers, shift workers, and those who do not work with computers. Weight loss was observed at both office and manufacturing sites. The use of monitoring devices to capture and send data to the automated Web-based coaching program may have influenced the high levels of engagement observed in this study. When combined with objective monitoring devices for PA and weight, both use of the website and outcomes can be tracked, allowing the online coaching program to become more personalized to the individual.

Lifetime risk for developing dyslipidemia: the Framingham Offspring Study.

BACKGROUND: High serum low-density lipoprotein(LDL) cholesterol and low high-density lipoprotein (HDL) cholesterol are major vascular risk factors. National surveys indicate that 40% of individuals in the United States have borderline-high LDL cholesterol, and 13-34% have low HDL. The lifetime risk of developing dyslipidemia is unknown, however. METHODS: We estimated the 10- to 30-year long-term risks of developing "borderline-high" LDL cholesterol (> or =130 mg/dL [3.4 mmol/L]), "high" LDL cholesterol (> or =160 mg/dL [4.1 mmol/L]) and "low" HDL cholesterol (<40 mg/dL [1.0 mmol/L]) in 4701 Framingham Offspring Study participants (53% women) who attended at least 2 examinations between 1971 and 2000. We performed sex-specific analyses (for age groups 30-34, 40-44, 50-54 years), and estimated risks conditional on surviving without the lipid abnormality up to the baseline age. We also estimated risks accounting for baseline prevalence of dyslipidemia (elevated LDL, low HDL). RESULTS: Over a 30-year period, approximately 6 of 10 participants developed borderline-high LDL, 4 of 10 people developed high LDL, and 2 (women) to 4 (men) of 10 individuals developed low HDL levels; estimates were generally similar for different age groups. Adjustment for baseline prevalence of dyslipidemia increased these estimates: 30-year risks exceeded 80% for borderline-high LDL, 50% for high LDL, and 25% (women) to 65% (men) for low HDL; 20-50% had or developed a low HDL along with a high LDL level. The 30-year estimates approximate the lifetime risk in 50-year-olds. CONCLUSIONS: The long term risks of developing dyslipidemia are substantial in both sexes, and considerably exceed prevalence estimates from cross-sectional surveys.

Estimating lifetime risk of developing high serum total cholesterol: adjustment for baseline prevalence and single-occasion measurements.

The lifetime risk statistic is a powerful tool in epidemiology. It has been successfully applied to estimate and highlight the risks of numerous diseases, including breast cancer, Alzheimer's disease, stroke, and coronary heart disease and some of its risk factors. Application of this method to health-related conditions that may have an onset early in young adulthood or to measurements that can fluctuate over time introduces problems of under- or overestimation of risk. To correctly quantify the long-term risk of developing high serum total cholesterol (> or =240 mg/dl or use of lipid-lowering medication), the authors propose a key modification of the lifetime risk statistic: adjustment for baseline prevalence. It accounts for the fact that many people already have the condition at a young age (an age often chosen as baseline). The authors derive point estimators and confidence intervals and supply a SAS macro (SAS Institute, Inc., Cary, North Carolina). For assessment of the risk inflation due to single-occasion measurement, the authors suggest two diagnostic tools, one requiring the condition to be present on two consecutive occasions and the other taking into account intrasubject variability. As an illustration, the authors calculate risk estimates for US Caucasians based on hypercholesterolemia incidence (1971-early 2001) from the Framingham Heart Study and prevalence data from the 1999-2000 National Health and Nutrition Examination Survey.

Lipoprotein particle profiles mark familial and sporadic human longevity.

BACKGROUND: Genetic and biochemical studies have indicated an important role for lipid metabolism in human longevity. Ashkenazi Jewish centenarians and their offspring have large low-density lipoprotein (LDL) and high-density lipoprotein (HDL) particles as compared with control individuals. This profile also coincided with a lower prevalence of disease. Here, we investigate whether this observation can be confirmed for familial longevity in an outbred European population and whether it can be extended to sporadic longevity in the general population. METHODS AND FINDINGS: NMR-measured lipoprotein profiles were analyzed in 165 families from the Leiden Longevity Study, consisting of 340 long-lived siblings (females >91 y, males >89 y), 511 of their offspring, and 243 partners of the offspring. Offspring had larger (21.3 versus 21.1 nm; p = 0.020) and fewer (1,470 versus 1,561 nmol/l; p = 0.011) LDL particles than their same-aged partners. This effect was even more prominent in the long-lived siblings (p < 10(-3)) and could be pinpointed to a reduction specifically in the concentration of small LDL particles. No differences were observed for HDL particle phenotypes. The mean LDL particle sizes in 259 90-y-old singletons from a population-based study were similar to those in the long-lived siblings and thus significantly larger than in partners of the offspring, suggesting that the relevance of this phenotype extends beyond familial longevity. A low concentration of small LDL particles was associated with better overall health among both long-lived siblings (p = 0.003) and 90-y-old singletons (p = 0.007). CONCLUSIONS: Our study indicates that LDL particle profiles mark both familial and sporadic human longevity already in middle age.

Dietary quality predicts adult weight gain: findings from the Framingham Offspring Study.

OBJECTIVE: We tested the hypothesis that dietary quality, measured by adherence to the Dietary Guidelines, was related to weight change in adults. RESEARCH METHODS AND PROCEDURES: Dietary intake was assessed among 2245 adult men and women (average age, 49 to 56 years) in the Framingham Offspring cohort. Three-day dietary records were collected in 1984 to 1988 and again in 1991 to 1996. Weight change was measured over 8 years after each assessment. A five-point diet quality index (DQI) was computed based on mean nutrient intake levels from each set of diet records. One DQI point was contributed for each of five nutrients if intake met Dietary Guidelines for total and saturated fat, cholesterol, sodium, and carbohydrate. Gender-specific generalized estimating equations pooled data across the two assessments to relate DQI to 8-year weight gain. RESULTS: Men and women with higher DQI scores gained less weight during follow-up (p < 0.05). Average gain over 8 years was approximately 3 pounds among those with highest scores, compared with 5 to 8 pounds among those with lower scores. Smoking cessation was an important predictor of weight gain, accounting for about a 5- to 9-pound difference in weight gain. DISCUSSION: A high-quality diet, one that is consistent with the Dietary Guidelines, may help curb rising rates of obesity at the population level. Poor compliance with the Guidelines, rather than the guidelines themselves, is likely responsible for the weight gain observed in the American population. Adoption of an eating pattern consistent with the Dietary Guidelines should facilitate population weight control if sustained long term.

Designing "lifestyle interventions" with the brain in mind.

The central hypothesis examined in this issue is that insulin resistance promotes maladaptive brain function and contributes to reduced neuronal plasticity, potentially accelerating brain aging. Therefore, if we were to prevent or treat insulin resistance, through weight loss and exercise, cognitive function would be improved. In this article, we argue that successful interventions influencing these outcomes depend upon overriding maladaptive neurobiology. This maladaptation may have developed over the course of the lifespan through interaction with modern environments. Furthermore, we emphasize the need to take this emergent neurobiology into account when designing interventions.

Impairments in working memory associated with naturalistic dieting in women: no relationship between task performance and urinary 5-HIAA levels.

The present study investigated the question of whether the previously observed impairments of working memory characteristic of dieting to lose weight can be explained in terms of preoccupying cognitions relating to body shape or to alterations in serotonergic function resulting from a low dietary intake of tryptophan. The population comprised female non-dieting, lower restrained eaters (N=23), non-dieting higher restrained eaters (N=11) and current dieters (N=19). Each participant completed three tasks, each of which selectively loaded on to a different sub-component of working memory. The tasks comprised the Tower of London task, a letter string recall task and a mental rotation task. In addition, all participants completed self-report measures of body shape concern and affective state. Serotonin turnover was assessed by means of 24 h urine sample collection for each participant on their day of testing. This was analysed (via HPLC) for levels of the main serotonin metabolite 5-HIAA.The results of the present study broadly replicated previous findings of a Central Executive and Phonological Loop (but not Visuo-Spatial Sketchpad) deficit in those subjects who reported themselves to be currently dieting. Tower of London task performance also significantly correlated with self-reported feelings of fatness and body shape disparagement. There were no group differences in 5-HIAA levels nor did 5-HIAA levels correlate with task performance. However, there was a significant negative correlation between 5-HIAA levels and self-reported depression. These results support the hypothesis that the variables mediating this deficit are preoccupying cognitions concerning body shape. They do not support the hypothesis that the serotonergic function of dieters is compromised, although this conclusion is tentative.