A five-year study of older adults’ health incongruence: Consistency, functional changes and subsequent survival

An individually adjusted approach for communicating epidemiological results on health and lifestyle to patients

If scientific research on modifiable risk factors was more accessible to the general population there is a potential to prevent disease and promote health. Mobile applications can automatically combine individual characteristics and statistical models of health to present scientific information as individually tailored visuals, and thus there is untapped potential in incorporating scientific research into apps aimed at promoting healthier lifestyles. As a proof-of-concept, we develop a statistical model of the relationship between Self-rated-health (SRH) and lifestyle-related factors, and a simple app for conveying its effects through a visualisation that sets the individual as the frame of reference. Using data from the 6th (n = 12 981, 53.4% women and 46.6% men) and 7th (n = 21 083, 52.5% women and 47.5% men) iteration of the Tromsø population survey, we fitted a mixed effects linear regression model that models mean SRH as a function of self-reported intensity and frequency of physical activity (PA), BMI, mental health symptoms (HSCL-10), smoking, support from friends, and HbA1c ≥ 6.5%. We adjusted for socioeconomic and demographic factors and comorbidity. We designed a simple proof-of-concept app to register relevant user information, and use the SRH-model to translate the present status of the user into suggestions for lifestyle changes along with predicted health effects. SRH was strongly related to modifiable health factors. The strongest modifiable predictors of SRH were mental health symptoms and PA. The mean adjusted difference in SRH between those with 10-HSCL index = 1.85 (threshold for mental distress) and HSCL-10 = 1 was 0.59 (CI 0.61-0.57). Vigorous physical activity (exercising to exhaustion ≥ 4 days/week relative to sedentary) was associated with an increase on the SRH scale of 0.64 (CI 0.56-0.73). Physical activity intensity and frequency interacted positively, with large PA-volume (frequency ⨯ intensity) being particularly predictive of high SRH. Incorporating statistical models of health into lifestyle apps have great potential for effectively communicating complex health research to a general audience. Such an approach could improve lifestyle apps by helping to make the recommendations more scientifically rigorous and personalised, and offer a more comprehensive overview of lifestyle factors and their importance.

Health asymmetry as a predictor of depressive symptomatology over time among older European adults: A growth curve analysis

OBJECTIVE

Subjective (SH) and objective health (OH) measures are associated with depressive symptomatology in older adults. We explored whether the discrepancy between SH and OH (operationalised as 'health asymmetry' with four categories: 'health optimistic', 'health pessimistic' and 'good health realistic' and 'poor health realistic') may also relate to depressive symptomatology 1) cross-sectionally, and 2) longitudinally, among older European adults.

METHODS

Adults (n = 26,520), aged 50+, from 11 European countries, were assessed over six waves of data collection (2006-2020) in the SHARE study. A hierarchical multi-level growth curve model explored whether health asymmetry was associated with depressive symptomology at baseline, and with depressive symptom trajectories across time, accounting for country of origin.

RESULTS

At baseline, 11.8% of older adults were classified as health pessimistic, with 15.5% being health optimistic, 42.9% being poor health realistic and 29.8% being good health realistic. A positive linear trend in depressive symptomatology was noted across 14 years of SHARE data (β = 0.11, p < .001). Health pessimists displayed higher levels of depressive symptoms than both health realistic groups and health optimists. However, health pessimists experienced a less steep increase in depressive symptoms across time (β = -0.10, p < .001), relative to good health realists.

CONCLUSION

Health pessimists experience elevated levels of depressive symptoms, but show less growth in depressive symptomatology than expected. Further research is required to understand the underlying causes of the varying depressive symptom trajectories among these groups.

Discordance Between Subjective and Objective Cognitive Function in Older Korean Americans

Objectives: To examine predictors of membership in discordant groups identified by subjective and objective measures of cognitive function. Methods: Participants in the Study of Older Korean Americans (N = 2046) were classified according to their subjective cognitive ratings (excellent/very good/good vs. fair/poor) and Mini-Mental State Examination scores (normal cognition vs. cognitive impairment), yielding two discordant groups: (1) positive ratings but cognitive impairment and (2) negative ratings but normal cognition. Logistic regression models examined how the discordant group membership was associated with personal resources. Results: Among those with positive cognitive ratings, the odds of belonging to the discordant group were associated with low personal resources (advanced age and lower levels of education, acculturation, and knowledge about Alzheimer's disease). However, an opposite pattern was observed among those with negative ratings. Discussion: The pattern of discordance suggests ways to promote early detection of cognitive impairment and close the gap in cognitive health care.

Self-rated general and oral health and associated factors in independently-living older individuals

The aim of this study was to verify the association between sociodemographic, general health, and oral health data with self-rated general health (SRGH) and self-rated oral health (SROH) in independent-living older Brazilians. This cross-sectional study was part of a larger study with older individuals living independently in the city of Campinas, Brazil - the "Rede FIBRA" Study (the Frailty in Brazilian Elderly Study). A random sample of 688 older individuals responded the SRGH and 673, the SROH. SRHG and SROH were both assessed using a single item. The questionnaire included sociodemographic, general, and oral health data. The mean age was 72.28 ± 5.4 years. The adjusted analysis revealed that the probability of rating general health as bad was higher for illiterate participants (PR: 1.77, 95%CI: 1.13-2.77) or with low educational level (PR: 1.76, 95%CI: 1.17-2.65), those with depressive symptoms (PR: 1.45, 95%CI:1.21-1.74), participants that self-reported food limitation due to problems with denture or lack of it (PR: 1.29, 95%CI: 1.05-1.56), and those with xerostomia (PR 1.40, 95%CI: 1.17-1.67). The probability of rating general health as bad was lower for participants that presented 0-2 chronic diseases (PR: 0.64, 95%CI: 0.53-0.78) and were pre-frail (PR: 0.76, 95%CI: 0.61-0.96). With regard to SROH, the probability of rating oral health as bad was higher for participants with natural teeth (PR:1.61, 95%CI: 1.24-2.08), that reported xerostomia (PR: 1.44, 95%CI: 1.13-1.84), and food limitation due to problems with denture or lack of it (PR: 1.43, 95%CI: 1.07-1,91), and lower for participants that reported having enough money to cover daily expenses (PR: 0.78, 95%CI: 0.61-0.99). Oral health data and income seem to be related to self-perceptions of general and oral health.

Psychological factors and self-rated health: An observative study on cardiological patients

This study investigated the association of illness representations, awareness of bodily states and health complaints to self-rated health in N = 150 consecutive patients with heart disease (ischaemic disease, heart failure and heart valve disease) and explored differences between ‘health optimist’ and ‘health pessimist’ patients. After controlling for medical variables, health complaints accounted for 14.2 per cent of patients’ self-rated health, and illness representations contributed for another 16.2 per cent; body awareness was not associated with self-rated health. Also, ‘optimists’ tended to see less negative consequences from their illness and perceived greater control over illness treatment compared to ‘pessimists’. Targeting symptoms and illness representations may optimize rehabilitation outcomes.

Identifying modifiable factors associated with health optimism in older adults

OBJECTIVE

Despite the documented importance of health optimism for enhancing health outcomes, very little work has been done to examine who experiences health optimism and under what conditions. The present study sought to identify modifiable factors associated with health optimism that could constitute the focus of future intervention efforts designed to promote health optimism among older people.

DESIGN

Participants were 453 (44% males) community-based Western Australians aged 60+ years (M = 70.39 years, SD = 6.06). Participants completed questionnaires to assess sociodemographic characteristics and provided information relating to physical and psychological health status.

RESULTS

Almost a quarter of participants (24%; n = 108) were classified as health optimists. Results from a multivariate regression analysis found quality of life, psychological well-being, and age to be directly and positively associated with health optimism. A subsequent path analytic model found depression (negatively) and self-efficacy (positively) to be indirectly associated with health optimism via both psychological well-being and quality of life.

CONCLUSION

These findings extend the limited evidence on health optimism in older adults by identifying various modifiable factors that may constitute potential areas of focus for future interventions designed to enhance health outcomes via the fostering of health optimism.

The association between life satisfaction, vitality, self-rated health, and risk of cancer

PURPOSE

Only few prospective studies have been conducted on the contribution of quality of life-related factors to the risk of cancer. The aim of this study was to investigate the prospective associations of three quality of life-related factors with the risk of cancer; life satisfaction, vitality, and self-rated health.

METHODS

In 2009-2011, 7189 participants in the Copenhagen Aging and Midlife Biobank were asked to rate their life satisfaction, their vitality, and their health. The study population was followed until the end of 2015 for registration of cancer in the Danish National Patient Register.

RESULTS

During the follow-up period, cancer was diagnosed in 312 individuals. Life satisfaction was not associated with the risk of cancer. Vitality was significantly associated with the risk of cancer, but the association became non-significant after adjustment for age, sex, socioeconomic position, and lifestyle factors. However, when additionally adjusting for life satisfaction, individuals who rated their vitality as low had a hazard ratio of 1.46 (95% confidence interval [CI] 1.04-2.07) for the development of cancer. Individuals who rated their health as poor had a hazard ratio of 1.70 (95% CI 1.27-2.26) for the development of cancer, compared with individuals with good, very good, or excellent self-rated health. The association remained significant after adjustment for basic confounders, life satisfaction, and vitality.

CONCLUSION

A better grasp of the significance of quality of life-related factors for the risk of cancer may be of great importance to population-based cancer prevention that aims to target early risk factors for development of cancer across widespread cancer sites.

A healthy dose of realism: The role of optimistic and pessimistic expectations when facing a downward spiral in health

RATIONALE AND OBJECTIVES

Whether expectations about future health are adaptive or maladaptive in late life likely depends on the extent to which they conform to or defy a future reality of declining health. Our premise was that, when adults face a downward spiral in health, it can be adaptive to realistically expect poorer future health and maladaptive to unrealistically expect good health.

METHOD

This 18-year-long study of community-dwelling older Canadians (n = 132, 72-98 years) involved a baseline interview to identify those who anticipated heath would decline (pessimistic expectation) or improve/remain stable (optimistic expectation). We determined initial (baseline) health status by assessing the severity of chronic conditions. An objective within-person measure of actual health change was derived by documenting hospital admissions (HAs) over time to capture a continuum that ranged from no declines (HAs remained stable) to greater declines in health (increasing numbers of HAs). Our a priori hypotheses examined the effects of health expectations (pessimistic, optimistic) and actual health change on the outcomes of depressive symptoms and mortality.

RESULTS

Support was found for our premise that it is adaptive to be realistic when forecasting future health, at least at low levels of initial chronic condition severity. Regression analyses showed that realistically pessimistic (vs. unrealistically optimistic) expectations predicted significantly fewer depressive symptoms and a lower risk of death. The results also supported our premise that it is maladaptive to be unrealistically optimistic when health subsequently declines in reality: The risk of death was 313% higher for those with optimistic expectations that were unrealistic (vs. realistic).

CONCLUSION

These findings provide insights for health care professionals regarding the messages they communicate to their patients. Together, they imply that, when good health is slipping away, it seems optimal to encourage a healthy dose of realism.

The impact of exposure-based cognitive behavior therapy for severe health anxiety on self-rated health: Results from a randomized trial

OBJECTIVE

Self-rated health (SRH) has been shown to be a stable predictor of illness and mortality. Improvement in SRH, even in the absence of change in objective health, predicts better health and reduced mortality. Severe health anxiety (SHA) is characterized by fear of illness and distorted health perception. The objective of the present study was to investigate if exposure-based cognitive behavior therapy (CBT) for SHA can lead to improvement in SRH and whether this improvement is mediated by reduced health anxiety.

METHODS

Data were collected from a randomized controlled trial where participants with SHA were allocated to 12weeks of exposure-based CBT (n=99) for SHA or to a no treatment control condition (n=33). The mediation analysis was based on SRH- and health anxiety data collected weekly during the treatment phase.

RESULTS

Linear mixed effects models analysis showed a significant interaction effect of group and time indicating superior improvements in SRH in exposure-based CBT compared to the control condition (Z=2.69, p=0.007). The controlled effect size was moderately large (d=0.64) and improvements were stable at 1-year follow-up. Reduced health anxiety was a significant mediator of improvement in SRH.

CONCLUSIONS

12weeks of exposure-based CBT for SHA can lead to significant improvements in SRH. Considering the previously established importance of SRH as a predictor for disease and mortality, exposure-based CBT for severe health anxiety may lead to improvements on several important health parameters, possibly even increasing the likelihood of longevity.

Changes over time from baseline poor self-rated health: for whom does poor self-rated health not predict mortality?

The aim of this study was to understand for whom and why poor self-rated health (SRH) is a less valid predictor of longevity or future health by examining the predictors of decline in health among people with poor baseline SRH. The sample included 409 participants in the Cross-Sectional and Longitudinal Study of the old-old (75+) in Israel, who were self-respondents and rated their health as poor at baseline and their status was known at follow-up 3.5 years later: deceased/moved to proxy interview/remained in poor SRH/or improved SRH. Baseline measures included self-reported medical status, physical, cognitive, psychological and social functioning. Findings showed that less decline in health was predicted by less difficulty in physical and cognitive functioning at baseline and by a more active physical and social life, after controlling for socio-demographics. Most of the predictors retained a unique contribution in a multivariate model, suggesting that engagement in meaningful activities serves as an indicator of better health and longer survival even within a group of old-old people in poor health. It may reflect greater social support, contribute to fitness and/or provide a sense of mastery, which could explain similar findings regarding gender and race/ethnicity groups for whom SRH is a less potent predictor of mortality.