The identification of regions of significance in the effect of multimorbidity on depressive symptoms using longitudinal data: an application of the Johnson-Neyman technique

Longitudinal changes in coping strategies across midlife and older adulthood: findings from the midlife in the United States study

OBJECTIVES

Most studies examining age differences in coping across adulthood come from cross-sectional studies and focus on the broader categories of problem- and emotion-focused coping. We aimed to establish a factor structure for coping items used in a national, longitudinal study of aging (MIDUS) and examine age patterns in coping strategies over 10 years.

METHOD

We performed exploratory and confirmatory factor analysis, and factorial invariance testing. Next we conducted a series of multilevel models for each coping factor with participants from waves II and III of the MIDUS study (N = 2,661, Mage = 55, 58% women, 84% White).

RESULTS

We found a four-factor solution: instrumental action; denial/disengagement; positive reappraisal; focus and venting of emotions. Invariance was established across time and age. At baseline, age was positively associated with the use of three strategies, though younger adults used more focus and venting of emotions. There was an overall decrease over 10 years in use of all strategies, which was moderated by age. Positive reappraisal declined more steeply among midlife participants, whereas the remaining strategies declined more for older participants.

CONCLUSION

Results highlight the multi-dimensionality of MIDUS coping items and underscores the import of age in understanding changes in coping across midlife and older adulthood.

Mean Affect Moderates the Association between Affect Variability and Mental Health

Increasing evidence suggests that within-person variation in affect is a dimension distinct from mean levels along which individuals can be characterized. This study investigated affect variability's association with concurrent and longitudinal mental health and how mean affect levels moderate these associations. The mental health outcomes of depression, panic disorder, self-rated mental health, and mental health professional visits from the second and third waves of the Midlife in the United States Study were used for cross-sectional (n = 1,676) and longitudinal outcomes (n = 1,271), respectively. These participants took part in the National Study of Daily Experiences (NSDE II), where they self-reported their affect once a day for 8 days, and this was used to compute affect mean and variability. Greater positive affect variability cross-sectionally predicted a higher likelihood of depression, panic disorder, mental health professional use, and poorer self-rated mental health. Greater negative affect variability predicted higher panic disorder probability. Longitudinally, elevated positive and negative affect variability predicted higher depression likelihood and worse self-rated mental health over time, while greater positive affect variability also predicted increased panic disorder probability. Additionally, mean affect moderated associations between variability and health such that variability-mental health associations primarily took place when mean positive affect was high (for concurrent mental health professional use and longitudinal depression) and when mean negative affect was low (for concurrent depression, panic disorder, self-rated mental health, and longitudinal self-rated mental health). Taken together, affect variability may have implications for both short- and long-term health and mean levels should be considered.

Supplementary Information

The online version contains supplementary material available at 10.1007/s42761-024-00238-0.

Perceived control across the adult lifespan: Longitudinal changes in global control and daily stressor control

Perceived control is an important psychosocial resource for health and well-being across the lifespan. Global control (i.e., overall perceived control) decreases over time in studies following people every few years to upwards of 10 years. Changes across wider intervals of the lifespan, however, have yet to be examined. Further, how perceived control changes for specific aspects of daily life, such as stressors, remains comparatively less clear. Using data from the Midlife in the United States National Study of Daily Experiences (NSDE, N = 1,940, M = 56.25 years, SD = 12.20, 57% female), we examined longitudinal changes in global control across 20 years and daily stressor control across 10 years. Global control was assessed in the first wave of the NSDE (∼1996). In follow-up waves, conducted in ∼2008 and ∼2017, participants again not only reported their global control but also reported their perceived control over stressors they experience across 8 consecutive days. Longitudinal analyses revealed differential change trajectories for global control across 20 years and stressor control across 10 years (ps < .001). Global control declined for younger and older adults but stayed relatively stable for individuals in midlife. The rate of decline in daily stressor control was steeper than the decline in global control and did not vary by age at baseline. In addition, declines were amplified among individuals with higher global control at baseline. Results suggest that daily stressor control is a specific aspect of control beliefs that follows a different rate of change than global control. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Affect variability and physical health: The moderating role of mean affect

Research has only begun to explore how affect variability relates to physical health and has typically not assessed long-term associations nor considered the moderating role of mean affect. Therefore, we used data from the Midlife in the United States Study waves 2 (N = 1512) and 3 (N = 1499) to test how affect variability predicted concurrent and long-term physical health while also testing the moderating role of mean affect. Results indicated that greater negative affect variability was associated concurrently with a greater number of chronic conditions (p = .03) and longitudinally with worse self-rated physical health (p < .01). Greater positive affect variability was associated concurrently with more chronic conditions (p < .01) and medications (p < .01) and longitudinally with worse self-rated physical health (p = .04). Further, mean negative affect played a moderating role such that at lower levels of mean negative affect, as affect variability increased, so did the number of concurrent chronic conditions (p < .01) and medications (p = .03) and the likelihood of reporting worse long-term self-rated physical health (p < .01). Thus, the role of mean affect should be considered when testing short- and long-term associations between affect variability and physical health.

Growing old and being old: Emotional well-being across adulthood

The present study examines change in reports of daily, weekly, and monthly psychological distress over 20 years, and of negative and positive affect over 10 years, using data from the Midlife in the United States study. The study includes three waves of data collection on adults ranging from 22 to 95 years old. Cross-sectional findings reveal that older age is related to lower levels of psychological distress and negative affect and to higher levels of positive affect across each successive age group. Yet, longitudinal findings vary across younger, middle-aged, and older adults. Psychological distress decreases over time among younger adults (although only until age 33 for weekly reports), remains stable in midlife, and is stable (monthly) or slightly increases (daily and weekly) among older adults. For negative affect, levels decrease over time for younger and middle-aged adults, and only increase for the oldest adults for daily and monthly affect. Positive affect is stable over time among younger adults, but decreases in midlife starting in the mid-fifties. In conclusion, overall patterns of findings suggest that being old (assessed cross-sectionally) is related to higher levels of emotional well-being. Growing old (assessed longitudinally) is related to improvements in emotional well-being across younger and early middle adulthood, which mirrors cross-sectional findings. There is relative stability in later midlife, however, and continued stability or slight declines across older age. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Childhood adversity and emotion regulation strategies as predictors of psychological stress and mental health in American Indian adults during the COVID-19 pandemic

Life events, such as the Coronavirus disease 2019 (COVID-19) pandemic, elicit increases in psychological stress and symptoms of anxiety and depression. In turn, these outcomes have negative implications for mental health. Emotion regulation strategies and prior adversity may moderate the degree to which life events affect outcomes that are linked to mental health. The purpose of the current study was to evaluate whether childhood adversity and emotion regulation strategy use interactively informed changes in outcomes linked to mental health following the onset of the pandemic in American Indian (AI) adults. AI adults (N = 210) reported levels of childhood adversity, emotion regulation strategy use, symptoms of anxiety and depression, and psychological stress 1 month prior to the onset of the COVID-19 pandemic. One month following the declaration of the pandemic, they reported on their stress, symptoms of anxiety and depression once again. The interaction between expressive suppression and childhood adversity predicted changes in psychological stress and symptoms of depression (B = .26, t(198) = 4.43 p < .001, R² change = .06) and (B = .23 t(199) = 4.14, p < .001, R² change = .05) respectively. The findings indicate that expressive suppression may be a maladaptive emotion regulation strategy for AI adults who experienced high levels of childhood adversity. This work represents a first step in understanding the role of emotion regulation strategy use in predicting mental health-relevant outcomes in the context of a life event, in a community that is disproportionately affected by chronic mental health conditions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Childhood environments and their relationship with sleep and ambulatory blood pressure in college students

Objective: Investigate whether psychosocial risk in the childhood family environment moderates the relationship between childhood socioeconomic status (SES) and sleep, and the relationship between childhood SES and ambulatory blood pressure (ABP) in college students, two factors that are linked to future risk for cardiovascular disease. Participants: 124 American college students. Methods: Childhood SES and psychosocial risk in childhood family environments were measured by self-report instruments. Sleep was measured with self-report and actigraphy (over 5 days) and ABP over a 2-day period. Results: Linear regressions adjusting for age, sex, current SES, and current depressive symptoms indicated that SES and psychosocial risk in family environments during childhood interact to inform sleep quality, actigraphy derived wake after sleep onset (WASO), actigraphy derived Sleep Efficiency (SE) and ABP. Conclusions: Psychosocial risk in the childhood family environment may offset previously documented relationships between childhood SES and health-relevant outcomes in college students.

A Longitudinal Investigation of Resilience as a Protective Factor During the COVID-19 Pandemic

COVID-19 is a global stressor that has been shown to impact mental health outcomes. Given that COVID-19 is a unique stressor that has been shown to have mental health consequences, identifying protective factors is imperative. The protective influences of resilience are demonstrated through the extant literature, though less is known about resilience and COVID-19 impact. The current study seeks to expand the existing literature on resilience, and on mental health outcomes influenced by COVID-19, by longitudinally investigating relative resilience as a buffer against posttraumatic stress disorder (PTSD) symptoms and alcohol consumption, in the wake of a global pandemic. Participants included 549 undergraduates with a history of lifetime trauma exposure. Using a longitudinal path model, we tested the interaction between relative resilience (i.e., an individual's deviation from distress levels predicted by prior trauma exposure relative to other individuals in the same cohort) and COVID-19 impact domains (i.e., social media use, worry, exposure, change in substance use, and housing/food insecurity) on PTSD symptoms and alcohol consumption. Findings demonstrate a significant interaction between the COVID-19 worry impact domain and baseline resilience on later PTSD symptoms, whereby COVID-19 worry impacts PTSD symptoms at low levels of resilience (β = .26, p < .001), marginally impacts PTSD symptoms at mean levels of resilience (β = .09, p = .05), and does not impact PTSD symptoms at high levels of resilience (β = -.08, p = .16). There were no significant main effects nor interaction effects of resilience on alcohol consumption. This article adds to the literature on resilience and COVID-19 through examining both internalizing (i.e., PTSD) and substance use outcomes, using longitudinal data, and using a quantitative measure of resilience.

Resting Tendon Cross-Sectional Area Underestimates Biceps Brachii Tendon Stress: Importance of Measuring During a Contraction

Force produced by the muscle during contraction is applied to the tendon and distributed through the cross-sectional area (CSA) of the tendon. This ratio of force to the tendon CSA is quantified as the tendon mechanical property of stress. Stress is traditionally calculated using the resting tendon CSA; however, this does not take into account the reductions in the CSA resulting from tendon elongation during the contraction. It is unknown if calculating the tendon stress using instantaneous CSA during a contraction significantly increases the values of in vivo distal biceps brachii (BB) tendon stress in humans compared to stress calculated with the resting CSA. Nine young (22 ± 1 years) and nine old (76 ± 4 years) males, and eight young females (21 ± 1 years) performed submaximal isometric elbow flexion tracking tasks at force levels ranging from 2.5 to 80% maximal voluntary contraction (MVC). The distal BB tendon CSA was recorded on ultrasound at rest and during the submaximal tracking tasks (instantaneous). Tendon stress was calculated as the ratio of tendon force during contraction to CSA using the resting and instantaneous measures of CSA, and statistically evaluated with multi-level modeling (MLM) and Johnson–Neyman regions of significance tests to determine the specific force levels above which the differences between calculation methods and groups became statistically significant. The tendon CSA was greatest at rest and decreased as the force level increased (p < 0.001), and was largest in young males (23.0 ± 2.90 mm²) followed by old males (20.87 ± 2.0 mm²) and young females (17.08 ± 1.54 mm²) (p < 0.001) at rest and across the submaximal force levels. Tendon stress was greater in the instantaneous compared with the resting CSA condition, and young males had the greatest difference in the values of tendon stress between the two conditions (20 ± 4%), followed by old males (19 ± 5%), and young females (17 ± 5%). The specific force at which the difference between the instantaneous and resting CSA stress values became statistically significant was 2.6, 6.6, and 10% MVC for old males, young females, and young males, respectively. The influence of using the instantaneous compared to resting CSA for tendon stress is sex-specific in young adults, and age-specific in the context of males. The instantaneous CSA should be used to provide a more accurate measure of in vivo tendon stress in humans.

Associations Between Childhood Abuse and COVID-19 Hyperarousal in Adulthood: The Role of Social Environment

Background

Childhood abuse increases risk for high levels of distress in response to future stressors. Interpersonal social support is protective for health, particularly during stress, and may be particularly beneficial for individuals who experienced childhood abuse.

Objective

Investigate whether childhood abuse predicts levels of posttraumatic stress disorder (PTSD) symptoms related to the COVID-19 pandemic, and test whether the perceived availability of social companionship preceding the pandemic moderates this relationship.

Methods

During Phase 1, adults (N = 120; Age M[SD] = 19.4 [0.94]) completed a retrospective measure of childhood adversity along with a measure of perceived availability of opportunities for social engagement immediately preceding the pandemic. Two weeks after the COVID-19 pandemic declaration, participants completed the Impact of Event Scale-Revised (IES-R) with respect to the pandemic. Hierarchical linear regression analyses examined the interaction between childhood abuse and the perceived availability of social companionship preceding the pandemic as a predictor of PTSD symptoms.

Results

Adjusting for covariates, the interaction between childhood abuse and perceived availability of others to engage with before the onset of the pandemic was a significant predictor of IES-hyperarousal (β = −0.19, t = −2.06, p = 0.04, ΔR² = 0.032, CI: [−0.31 to −0.01]).

Conclusion

Levels of perceived opportunities for social companionship before the pandemic associates with levels of hyperarousal related to the pandemic, particularly for individuals who experienced high levels of childhood abuse. More research is needed to understand how to mitigate the higher levels of distress related to the pandemic for these individuals in order to reduce risk for future psychiatric disorders.

Adverse Childhood Experiences and Immune System Inflammation in Adults Residing on the Blackfeet Reservation: The Moderating Role of Sense of Belonging to the Community

BACKGROUND

Previous research documents an association between adverse childhood experiences (ACEs) and immune system inflammation. High chronic inflammation is believed to be one biological pathway through which childhood adversity may affect health into adulthood. The Blackfeet tribal community has high rates of childhood trauma and community members are disproportionately affected by inflammatory diseases.

PURPOSE

To investigate whether belonging to the tribal community may moderate the relationship between childhood trauma and immune system inflammation in the Blackfeet tribal community.

METHODS

In a sample of 90 adults residing on the Blackfeet reservation, we measured ACEs belonging to the tribal community and two markers of immune system inflammation, interleukin-6 (IL-6) and C-reactive protein (CRP).

RESULTS

We found that independent of age, gender, annual income, body mass index, and depressive symptoms, belonging to the tribal community and ACEs interacted to predict levels of both IL-6 and CRP (B= -.37, t[81] = -3.82, p < .001, R2 change = .07 and B = -.29, t[81] = -2.75, p = .01, R2 change = .08, respectively). The association between ACEs and markers of immune system inflammation was statistically significant for community members who reported low levels of belonging to the community.

CONCLUSIONS

The findings of this study have important implications for intervention research seeking to reduce risk for inflammatory diseases for at-risk populations. Fostering stronger connections to the larger tribal community may positively affect risk for inflammatory diseases. Future work should examine the behavioral and psychosocial pathways through which stronger connections to community may confer health benefits.

Historical trauma and social support as predictors of psychological stress responses in American Indian adults during the COVID-19 pandemic

BACKGROUND

American Indians (AIs) live with historical trauma, or the cumulative emotional and psychological wounding that is passed from one generation to the next in response to the loss of lives and culture. Psychological consequences of historical trauma may contribute to health disparities.

PURPOSE

Here, we investigate whether historical trauma predicts changes in psychological stress associated with the onset of the COVID-19 pandemic in AI adults. Based on the stress-sensitization theory, we hypothesize that greater historical trauma will predict greater increases in levels of psychological stress from before the onset of the pandemic to after.

METHOD

Our analytic sample consisted of 205 AI adults. We measured historical trauma and levels of psychological stress before and after the onset of the pandemic.

RESULTS

Using hierarchical regression models controlling for age, biological sex, income, symptoms of depression and anxiety, psychological stress at Time 1, COVID-19 specific stress, and childhood trauma, we found that greater historical trauma preceding the pandemic predicted greater increases in psychological stress (β = 0.38, t = 5.17 p < .01, ΔR² = 0.12), and levels of social support interacted with historical trauma to predict changes in psychological stress (β = -0.19, t = -3.34, p = .001, ΔR² = 0.04). The relationship between historical trauma and changes in stress was significant for individuals with low levels of social support.

CONCLUSIONS

Historical trauma may contribute to AI mental health disparities, through heightened psychological stress responses to life stressors and social support appears to moderate this relationship.

Probing curvilinear-by-linear interactions when the predictors are randomly sampled

Curvilinear effects and curvilinear-by-linear interactions are hypothesized, tested, and probed in various fields of the social and behavioral sciences. When such effects are found, researchers traditionally have tested the simple slope, and more recently have utilized the Johnson-Neyman technique, often at the values of the sample statistics of the predictor(s). Both approaches implicitly assume that values on the predictors have been sampled according to a fixed sampling plan. More typically in social and behavioral research, however, values on the predictors can be more appropriately considered as randomly sampled from a multivariate population distribution. I show analytically and through simulation that for regression models containing a curvilinear-by-linear interaction, fixed and random regression models produce the same estimates but different standard errors of the simple slope at values of the sample statistics of the predictors. When values on the predictors are randomly sampled, treating them as fixed when testing the simple slope or generating conditional Johnson-Neyman confidence bands at values of the sample statistics of the predictors can lead to inflated Type I error rates and inaccurate coverage rates. Recommendations for researchers are provided, and directions for future research are discussed.

Association Between Speed of Multimorbidity Accumulation in Old Age and Life Experiences: A Cohort Study

Rapidly accumulating multiple chronic conditions (multimorbidity) during aging are associated with many adverse outcomes. We explored the association between 4 experiences throughout life-childhood socioeconomic circumstances, early-adulthood education, midlife occupational stress, and late-life social network-and the speed of chronic disease accumulation. We followed 2,589 individuals aged ≥60 years from the Swedish National Study on Aging and Care in Kungsholmen for 9 years (2001-2013). Information on life experiences was collected from detailed life-history interviews. Speed of disease accumulation was operationalized as the change in the count of chronic conditions obtained from clinical examinations, medical histories, laboratory data, drug use, and register linkages over 9 years. Linear mixed models were used to analyze the data. Speed of disease accumulation was lower in individuals with more than elementary education (for secondary, β × time = -0.065, 95% CI: -0.126, -0.004; for university, β × time = -0.118, 95% CI: -0.185, -0.050); for active occupations compared with high-strain jobs (β × time = -0.078, 95% CI: -0.138, -0.017); and for richer social networks (for moderate tertile, β × time = -0.102, 95% CI: -0.149, -0.055; for highest tertile, β × time = -0.135, 95% CI: -0.182, -0.088). The association between childhood circumstances and speed of disease accumulation was attenuated by later-life experiences. Diverse experiences throughout life might decelerate chronic disease accumulation during aging.

Associations between prevalent multimorbidity combinations and prospective disability and self-rated health among older adults in Europe

Background

Multimorbidity is associated with greater likelihood of disability, health-related quality of life, and mortality, greater than the risk attributable to individual diseases. The objective of this study is to examine the association between unique multimorbidity combinations and prospective disability and poor self-rated health (SRH) in older adults in Europe.

Methods

We conducted a prospective analysis using data from the Survey of Health, Ageing and Retirement in Europe in 2013 and 2015. We used hierarchical models to compare respondents with multiple chronic conditions to healthy respondents and respondents reporting only one chronic condition and made within-group comparisons to examine the marginal contribution of specific chronic condition combinations.

Results

Less than 20% of the study population reported having zero chronic conditions, while 50% reported having at least two chronic conditions. We identified 380 unique disease combinations among people who reported having at least two chronic conditions. Over 35% of multimorbidity could be attributed to five specific multimorbidity combinations, and over 50% to ten specific combinations. Overall, multimorbidity combinations that included high depressive symptoms were associated with increased odds of reporting poor SRH, and increased rates of ADL-IADL disability.

Conclusions

Multimorbidity groups that include high depressive symptoms may be more disabling than combinations that include only somatic conditions. These findings argue for a continued integration of both mental and somatic chronic conditions in the conceptualization of multimorbidity, with important implications for clinical practice and healthcare delivery.

Electronic supplementary material

The online version of this article (10.1186/s12877-019-1214-z) contains supplementary material, which is available to authorized users.

Importance of modelling decisions on estimating trajectories of depressive symptoms and co-morbid conditions in older adults: Longitudinal studies from ten European countries

Background

International comparisons of trajectories of depressive symptoms in older adults are scarce and longitudinal associations with co-morbid conditions not fully understood.

Objective

To compare trajectories of depressive symptoms from participants living in 10 European Countries and identify ages at which the associations of co-morbid conditions with these trajectories become more relevant.

Methods

Latent growth curve models were fitted to depressive symptoms scores from participants of the Survey of Health and Retirement in Europe (SHARE) initiative (combined n = 21,253) and co-morbid conditions modelled as time varying covariates. To identify the ages at which the association between co-morbid conditions and depressive symptoms was significant the Johnson-Neyman (JN) technique was used.

Results

The shape of depressive symptoms trajectories varied between countries, and was highly dependent on modelling decisions. The association between the average number of co-morbidities reported over time and depressive symptoms was consistent and positive across countries and ages.

Conclusion

International differences in ageing-related trajectories of depressive symptoms emerged. The longitudinal association of co-morbid conditions with trajectories of depressive symptoms was found, but the results overall suggest that modelling decisions could greatly influence the outcomes, and should thus be interpreted with caution.

A New SEYHAN's Approach in Case of Heterogeneity of Regression Slopes in ANCOVA

In this study, when the assumptions of linearity and homogeneity of regression slopes of conventional ANCOVA are not met, a new approach named as SEYHAN has been suggested to use conventional ANCOVA instead of robust or nonlinear ANCOVA. The proposed SEYHAN's approach involves transformation of continuous covariate into categorical structure when the relationship between covariate and dependent variable is nonlinear and the regression slopes are not homogenous. A simulated data set was used to explain SEYHAN's approach. In this approach, we performed conventional ANCOVA in each subgroup which is constituted according to knot values and analysis of variance with two-factor model after MARS method was used for categorization of covariate. The first model is a simpler model than the second model that includes interaction term. Since the model with interaction effect has more subjects, the power of test also increases and the existing significant difference is revealed better. We can say that linearity and homogeneity of regression slopes are not problem for data analysis by conventional linear ANCOVA model by helping this approach. It can be used fast and efficiently for the presence of one or more covariates.

Conceptual disorganization weakens links in cognitive pathways: Disentangling neurocognition, social cognition, and metacognition in schizophrenia

Disentangling links between neurocognition, social cognition, and metacognition offers the potential to improve interventions for these cognitive processes. Disorganized symptoms have shown promise for explaining the limiting relationship that neurocognition holds with both social cognition and metacognition. In this study, primary aims included: 1) testing whether conceptual disorganization, a specific disorganized symptom, moderated relationships between cognitive processes, and 2) examining the level of conceptual disorganization necessary for links between cognitive processes to break down. To accomplish these aims, comprehensive assessments of conceptual disorganization, neurocognition, social cognition, and metacognition were administered to 67 people with schizophrenia-spectrum disorders. We found that conceptual disorganization significantly moderated the relationship between neurocognition and metacognition, with links between cognitive processes weakening when conceptual disorganization is present even at minimal levels of severity. There was no evidence that conceptual disorganization-or any other specific disorganized symptom-drove the limiting relationship of neurocognition on social cognition. Based on our findings, conceptual disorganization appears to be a critical piece of the puzzle when disentangling the relationship between neurocognition and metacognition. Roles of specific disorganized symptoms in the neurocognition - social cognition relationship were less clear. Findings from this study suggest that disorganized symptoms are an important treatment consideration when aiming to improve cognitive impairments.

Common patterns of morbidity and multi-morbidity and their impact on health-related quality of life: evidence from a national survey

Background

There is limited evidence about the impact of specific patterns of multi-morbidity on health-related quality of life (HRQoL) from large samples of adult subjects.

Methods

We used data from the English General Practice Patient Survey 2011–2012. We defined multi-morbidity as the presence of two or more of 12 self-reported conditions or another (unspecified) long-term health problem. We investigated differences in HRQoL (EQ-5D scores) associated with combinations of these conditions after adjusting for age, gender, ethnicity, socio-economic deprivation and the presence of a recent illness or injury. Analyses were based on 831,537 responses from patients aged 18 years or older in 8,254 primary care practices in England.

Results

Of respondents, 23 % reported two or more chronic conditions (ranging from 7 % of those under 45 years of age to 51 % of those 65 years or older). Multi-morbidity was more common among women, White individuals and respondents from socio-economically deprived areas. Neurological problems, mental health problems, arthritis and long-term back problem were associated with the greatest HRQoL deficits. The presence of three or more conditions was commonly associated with greater reduction in quality of life than that implied by the sum of the differences associated with the individual conditions. The decline in quality of life associated with an additional condition in people with two and three physical conditions was less for older people than for younger people. Multi-morbidity was associated with a substantially worse HRQoL in diabetes than in other long-term conditions. With the exception of neurological conditions, the presence of a comorbid mental health problem had a more adverse effect on HRQoL than any single comorbid physical condition.

Conclusion

Patients with multi-morbid diabetes, arthritis, neurological, or long-term mental health problems have significantly lower quality of life than other people. People with long-term health conditions require integrated mental and physical healthcare services.

Electronic supplementary material

The online version of this article (doi:10.1007/s11136-014-0820-7) contains supplementary material, which is available to authorized users.