Health-related quality of life (HRQL) for individuals with self-reported chronic physical and/or mental health conditions: panel survey of an adult sample in the United States

Daily Functionality of People with Low Vision: The Impact of Visual Acuity, Depression, and Life Orientation-A Cross-Sectional Study

Background

Low vision (LV) has a significant negative impact on the activities of daily life as well as on the psychological health of patients.

Objectives

The objective of this study is to investigate psychological, clinical, and demographic factors that may impact the daily functionality of patients with LV.

Methods

A convenience sample of 53 patients, meeting the WHO criteria for LV, was recruited. Questionnaires on daily functionality, depression, and life orientation (in terms of optimism/pessimism) were administered along with a semistructured personal interview. Key Findings. The main results revealed a significant negative correlation between daily functionality and depression (r = -0.423, p < 0.001). Conversely, there is a positive correlation between daily functionality and visual acuity (r = 0.415, p < 0.001), while years since diagnosis were negatively correlated with depression (r = -0.345, p < 0.001). Depression seems to be a moderate predictor of a person's daily functionality (β = -0.389, p < 0.002), followed by visual acuity (β = -0.344, p = 0.006), explaining the 31.1% of the total variance.

Conclusions

The study supports a correlation between daily functionality and both depression and visual acuity. Optimism as a personality characteristic did not factor into the prediction model for daily functionality, but it showed a strong correlation with lower levels of depressive symptoms. This highlights the potential for developing coping strategies for chronic disease management. Recommendations. The study could serve as a useful guide and may urge clinicians to pay attention to the psychological evaluation of these patients, supporting their unique emotional needs. Mental health professionals can use patients' positive resources to provide appropriate counseling and embrace the coping skills that encourage their engagement in activities of daily life.

HIV, multimorbidity, and health-related quality of life in rural KwaZulu-Natal, South Africa: A population-based study

Health-related quality of life (HRQoL) assesses the perceived impact of health status across life domains. Although research has explored the relationship between specific conditions, including HIV, and HRQoL in low-resource settings, less attention has been paid to the association between multimorbidity and HRQoL. In a secondary analysis of cross-sectional data from the Vukuzazi ("Wake up and know ourselves" in isiZulu) study, which identified the prevalence and overlap of non-communicable and infectious diseases in the uMkhanyakunde district of KwaZulu-Natal, we (1) evaluated the impact of multimorbidity on HRQoL; (2) determined the relative associations among infectious diseases, non-communicable diseases (NCDs), and HRQoL; and (3) examined the effects of controlled versus non-controlled disease on HRQoL. HRQoL was measured using the EQ-5D-3L, which assesses overall perceived health, five specific domains (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression), and three levels of problems (no problems, some problems, and extreme problems). Six diseases and disease states were included in this analysis: HIV, diabetes, stroke, heart attack, high blood pressure, and TB. After examining the degree to which number of conditions affects HRQoL, we estimated the effect of joint associations among combinations of diseases, each HRQoL domain, and overall health. Then, in one set of ridge regression models, we assessed the relative impact of HIV, diabetes, stroke, heart attack, high blood pressure, and tuberculosis on the HRQoL domains; in a second set of models, the contribution of treatment (controlled vs. uncontrolled disease) was added. A total of 14,008 individuals were included in this analysis. Having more conditions adversely affected perceived health (r = -0.060, p<0.001, 95% CI: -0.073 to -0.046) and all HRQoL domains. Infectious conditions were related to better perceived health (r = 0.051, p<0.001, 95% CI: 0.037 to 0.064) and better HRQoL, whereas non-communicable diseases (NCDs) were associated with worse perceived health (r = -0.124, p<0.001, -95% CI: 0.137 to -0.110) and lower HRQoL. Particular combinations of NCDs were detrimental to perceived health, whereas HIV, which was characterized by access to care and suppressed viral load in the large majority of those affected, was counterintuitively associated with better perceived health. With respect to disease control, unique combinations of uncontrolled NCDs were significantly related to worse perceived health, and controlled HIV was associated with better perceived health. The presence of controlled and uncontrolled NCDs was associated with poor perceived health and worse HRQoL, whereas the presence of controlled HIV was associated with improved HRQoL. HIV disease control may be critical for HRQoL among people with HIV, and incorporating NCD prevention and attention to multimorbidity into healthcare strategies may improve HRQoL.

Peripheral Nervous, Hepatic, and Gastrointestinal Endpoints for AL Amyloidosis Clinical Trials: Report from the Amyloidosis Forum Multi-organ System Working Group

Systemic immunoglobulin light chain (AL) amyloidosis is a heterogeneous rare disease driven by a destructive monoclonal gammopathy and typified by misfolded immunoglobulin light and/or heavy chains which aggregate and deposit in organs as insoluble amyloid fibrils. Disease heterogeneity is driven by the degree of multi-systemic involvement; cardiac, renal, neurological, and gastrointestinal (GI) systems are affected to varying degrees in different patients. While prognosis is primarily driven by hematologic response to treatment and outcomes associated with cardiac events and overall survival, the involvement of the peripheral nervous, hepatic, and GI systems can also have a significant impact on patients. The Amyloidosis Forum ( https://amyloidosisforum.org ) is a public-private partnership between the nonprofit Amyloidosis Research Consortium ( www.arci.org ) and the US Food and Drug Administration (FDA) Center for Drug Evaluation and Research formed to advance drug development for the treatment of systemic amyloid disorders. A series of virtual workshops focused on the development of novel, patient-relevant endpoint components and analytical strategies for clinical trials in AL amyloidosis. This review summarizes the proceedings and recommendations of the Multi-Systemic Working Group which identified, reviewed, and prioritized endpoints relevant to the impacts of AL amyloidosis on the peripheral nervous, hepatic, and GI systems. The Working Group comprised amyloidosis experts, patient representatives, statisticians, and representatives from the FDA, Medicines and Healthcare products Regulatory Agency (MHRA), and pharmaceutical companies. Prioritized neuropathy/autonomic endpoints included a modified form of the Neuropathy Impairment Score (NIS + 7) and the Composite Autonomic Symptom Score (COMPASS-31), respectively. Alkaline phosphatase was identified as the most relevant indicator of liver involvement and disease progression. Following extensive review of potential GI endpoints, the Working Group identified multiple exploratory endpoints. These recommended components will be further explored through evaluation of clinical trial datasets and possible integration into composite endpoint analysis.

Does Biological Sex Matter in Lyme Disease? The Need for Sex-Disaggregated Data in Persistent Illness

Background

Biological sex should be included as an important variable in clinical research studies to identify outcome differences between men and women. Very few Lyme disease studies were designed to consider sex-based differences or gender bias as an important component of the research design.

Methods

To assess sex-based differences in Lyme disease patients who were clinically diagnosed and reported remaining ill for six or more months after receiving antibiotic treatment, we analyzed self-reported clinical data from 2170 patients in the MyLymeData patient registry. We also reviewed previous Lyme disease studies for distribution of patients by biological sex according to stage of illness, data source, and definition of disease used as enrollment criteria.

Results

In MyLymeData, women reported more tick-borne coinfections, worse symptoms, longer diagnostic delays, more misdiagnoses, and worse functional impairment than men. No differences were reported in antibiotic treatment response or side effects. In our review, of clinical research trials and data sources, we identified a smaller percentage of women in studies of acute Lyme disease and a larger percentage of women in studies of persistent illness. Samples and data sources that were more reflective of patients seen in clinical practice had a higher percentage of women than randomized controlled trials and post-treatment Lyme disease studies.

Conclusion

Our results indicate that biological sex should be integrated into Lyme disease research as a distinct variable. Future Lyme disease studies should include sex-based disaggregated data to illuminate differences that may exist between men and women with persistent illness.

The impact of depression and physical multimorbidity on health-related quality of life in China: a national longitudinal quantile regression study

The co-occurrence of mental and physical chronic conditions is a growing concern and a largely unaddressed challenge in low-and-middle-income countries. This study aimed to investigate the independent and multiplicative effects of depression and physical chronic conditions on health-related quality of life (HRQoL) in China, and how it varies by age and gender. We used two waves of the China Health and Retirement Longitudinal Study (2011, 2015), including 9227 participants aged ≥ 45 years, 12 physical chronic conditions and depressive symptoms. We used mixed-effects linear regression to assess the effects of depression and physical multimorbidity on HRQoL, which was measured using a proxy measure of Physical Component Scores (PCS) and Mental Component Scores (MCS) of the matched SF-36 measure. We found that each increased number of physical chronic conditions, and the presence of depression were independently associated with lower proxy PCS and MCS scores. There were multiplicative effects of depression and physical chronic conditions on PCS (- 0.83 points, 95% CI - 1.06, - 0.60) and MCS scores (- 0.50 points, 95% CI - 0.73, - 0.27). The results showed that HRQoL decreased markedly with multimorbidity and was exacerbated by the presence of co-existing physical and mental chronic conditions.

Multimorbidity and health-related quality of life among patients attending chronic outpatient medical care in Bahir Dar, Northwest Ethiopia: The application of partial proportional odds model

BACKGROUND

Multimorbidity, the presence of two or more chronic non-communicable diseases (NCDs) in a given person affects all aspects of people's lives. Poor quality of life (QoL) is one of the major consequences of living with multimorbidity. Although healthcare should support multimorbid individuals to achieve a better quality of life, little is known about the effect of multimorbidity on the QoL of patients living with chronic conditions. This study aimed to determine the influence of multimorbidity on QoL among clients attending chronic outpatient medical care in Bahir Dar, Northwest Ethiopia.

METHODOLOGY

A multi-centered facility-based study was conducted among 1440 participants aged 40+ years. Two complementary methods were employed to collect sociodemographic and disease related data. We used the short form (SF-12 V2) instrument to measure quality of life (QoL). The data were analyzed by STATA V.16, and a multivariate partial proportional odds model was fitted to identify covariates associated with quality of life. Statistical significance was considered at p-value <0.05.

PRINCIPAL FINDINGS

Multimorbidity was identified in 54.8% (95% CI = 52.2%-57.4%) of the sample. A significant proportion (33.5%) of the study participants had poor QoL and a quarter (25.8%) of them had moderate QoL. Advanced age, obesity and living with multimorbidity were the factors associated with poor QoL. Conversely, perceived social support and satisfaction with care were the variables positively associated with better QoL.

CONCLUSION

The magnitude of multimorbidity in this study was high and individuals living with multimorbidity had a relatively poorer QoL than those without multimorbidity. Care of people with chronic multiple conditions has to be oriented to the realities of multimorbidity burden and its implication on QoL. It is also imperative to replicate the methods we employed to measure and analyze QoL data in this study for facilitating comparison and further development of the approaches.

Research on the Relationship between Chinese Elderly Health Status, Social Security, and Depression

(1) Background: To explore the relationship between health status, social security status, and the occurrence of depression in older adults and provide a basis for mental health care services for the elderly population; (2) Methods: This study used the 2018 China Health and Senior Care Tracking Survey (CHARLS) data to select 8383 older people aged over 60 years old as the research subjects. The two-category Logistic model was used to analyze the research problem; (3) Results: Older adults with depressive tendencies accounted for 34.1% of the total older adults. The incidence of depression among female older adults reached 41.51%. The risk of depression in the elderly population was 40.3% lower in males than in females (OR = 0.597, 95% CI: 0.539−0.662). Self-rated health status, physical disability, and receipt of pensions affected the incidence of depression in older adults (all p < 0.05); (4) Conclusions: Focus on and intervene in the mental status of elderly females and disabled elderly people. Provide mental and economic support and mental health care services to the elderly at the family and social levels. Promote the healthy development of the mental health of the elderly and promote active aging.

Proposed Cardiac End Points for Clinical Trials in Immunoglobulin Light Chain Amyloidosis: Report From the Amyloidosis Forum Cardiac Working Group

Immunoglobulin light chain amyloidosis is a rare, multisystemic, phenotypically heterogenous disease affecting cardiovascular, renal, neurological, and gastrointestinal systems to varying degrees. Its underlying cause is a plasma cell dyscrasia characterized by misfolding of monoclonal immunoglobulin light chains which leads to aggregation and deposition of insoluble amyloid fibrils in target organs. Prognosis is primarily dependent on extent of cardiac involvement and depth of hematologic response to treatment. To facilitate development of new therapies, a public-private partnership was formed between the nonprofit Amyloidosis Research Consortium and the US Food and Drug Administration Center for Drug Evaluation and Research. In 2020, the Amyloidosis Forum launched an initiative to identify novel/composite end points and analytic strategies to expedite clinical trials for development of new therapies for the primary hematologic disorder and organ system manifestations. Specialized working groups identified organ-specific end points; additional working groups reviewed health-related quality of life measures and statistical approaches to data analysis. Each working group comprised amyloidosis experts, patient representatives, statisticians, and representatives from the Food and Drug Administration, the UK Medicines and Healthcare Products Regulatory Agency, and pharmaceutical companies. This review summarizes the proceedings and recommendations of the Cardiac Working Group. Using a modified Delphi method, the group identified, reviewed, and prioritized cardiac end points relevant to immunoglobulin light chain amyloidosis in the context of an antiplasma cell therapy. Prioritized cardiovascular end points included overall survival, hospitalization, N-terminal pro-B-type natriuretic peptide level, 6-minute walk test, Kansas City Cardiac Questionnaire, and cardiac deterioration progression-free survival. These recommended components will be further explored through evaluation of clinical trial datasets and formal guidance from regulatory authorities.

Multimorbidity and leisure-time physical activity over the life course: a population-based birth cohort study

BACKGROUND

We aimed to test which life course model best described the association between leisure-time physical activity (LTPA) and multimorbidity at age 55. We analyzed data from birth to age 55 using the database from the 1958 National Child Development Survey.

METHODS

Multimorbidity was considered as the presence of more than one chronic condition. LTPA was measured through questionnaires from 1965 (age 7) to 2013 (age 55), which were applied in eight different occasions. We compared the fit of a series of nested adjusted logistic regression models (representing either the critical, accumulation or sensitive period models) with a fully saturated model. Data were reported as odds ratio (OR) and 95% confidence interval (CI).

RESULTS

From an eligible sample of 15,613 cohort members, 9137 were interviewed in the latest sweep (58.5%). Men were more physically active than women at ages 11, 16, and 23 (p < 0.001). LTPA every day in the week was more frequent in women than men in ages 33, 42, and 50 (p < 0.001). The prevalence of multimorbidity at age 55 was 33.0% (n = 2778). The sensitive analysis revealed that LTPA during adolescence (OR: 0.83; 95% CI: 0.70, 0.98) and mid adult life (age 50 and 55; OR: 0.82; 95%CI: 0.69, 0.98) have a stronger effect on the risk for multimorbidity at age 55 considering all other life stages in the model. Also, adolescence showed a critical independent effect on the risk for multimorbidity (OR: 0.82; 95%CI: 0.70, 0.97). No difference was found between those models.

CONCLUSIONS

These data support the notion of a protective physical activity "legacy" at early ages of childhood against multimorbidity at older ages. We highlight the need for LTPA promotion through intervention tailored especially on schooling and older ages in order to reduce the burden of multimorbidity.

Training results in increased practitioner confidence and identification of depression in people with low vision: a mixed methods study

PURPOSE

The prevalence of depression in people with low vision is high and often goes undiagnosed. There is the potential for those who provide low vision services to perform concurrent depression screening. However, prior training in depression identification and suitable referral pathways is required. The aims of this study were: (1) to assess the impact of a training programme on practitioners' confidence and behaviour in addressing depression in patients with low vision, and (2) to review the training programme and identify areas for further development.

METHODS

A convergent mixed methods approach was used. Questionnaires were completed by practitioners pre-, immediately post- and 6 months post- training (n = 40) to assess practitioner confidence in approaching depression in patients with low vision. Qualitative interviews were performed with a subset of practitioners 6 months post-training (n = 9). Additionally, routine data from the Low Vision Service Wales (LVSW) database was used to determine the change in the number of practitioners identifying depression in patients, and the change in the number of patients identified at risk of depression 6 months post-training.

RESULTS

Of the 148 practitioners who completed low vision assessments pre- and post-training, 28 (18.9%) documented risk of depression in their patients pre-training, which increased substantially to 65 (43.9%) post-training (p < 0.0001). Mixed methods analysis confirmed increased documentation of depressive symptoms by practitioners. Practitioner confidence increased following training, with 92.3% feeling more confident to approach emotional issues with patients and 92.2% intending to use the recommended screening tool to identify depression. Interviews provided insight into areas where confidence was still lacking. Quantitative questionnaires revealed that training content was considered appropriate by 91% of participants. Interviews confirmed these findings while expanding upon possibilities for programme improvement.

CONCLUSIONS

Training for depression screening was found to be time-efficient and acceptable for LVSW practitioners and shown to increase practitioner confidence in the identification of depression. Additionally, the programme changed behaviour, resulting in an increase in the identification of depression in patients with low vision. However, this is a complex topic and ongoing development is required to embed depression screening as an integral part of low vision services.

Particulate matter pollution and risk of outpatient visits for psychological diseases in Nanjing, China

Exposure to air pollution has been associated with increased risk for a range of adverse mental health conditions. Less is known about whether air pollution is also associated with increases in the utilization of mental health services, especially outpatient mental health service utilization. This study aimed to examine the association between the number of daily outpatient visits at the psychological disease departments of two major hospitals (PSYC) and daily average concentrations of PM_2.5 and PM₁₀ in a heavily polluted city in China, Nanjing, from 2013/7/1 to 2019/2/28, using generalized additive models with a quasi-Poisson regression. Results showed that each 10 μg/m³ increase in PM_2.5 concentration on lag0 day was associated with a 0.40% increase (95% CI: 0.07-0.72) in PSYC visits, and each 10 μg/m³ increase in PM₁₀ concentration on the same day a 0.31% increase (95% CI: 0.09-0.54) in PSYC visits. Exposure-response curves suggested linear relationships between PM concentration and daily PSYC outpatient visits, without evidence of a threshold. Associations remained positive, but were non-significant, with adjustment for co-pollutants, SO₂, NO₂ and CO. Significantly larger effects were found for older and male participants, vs. their counterparts. These findings add to the growing literature linking air pollution to mental health service utilization, demonstrating the critical need for both air pollution mitigation measures and increased capacity of the mental health system in China.

Antibiotic Treatment Response in Chronic Lyme Disease: Why Do Some Patients Improve While Others Do Not?

There is considerable uncertainty regarding treatment of Lyme disease patients who do not respond fully to initial short-term antibiotic therapy. Choosing the best treatment approach and duration remains challenging because treatment response among these patients varies: some patients improve with treatment while others do not. A previous study examined treatment response variation in a sample of over 3500 patients enrolled in the MyLymeData patient registry developed by LymeDisease.org (San Ramon, CA, USA). That study used a validated Global Rating of Change (GROC) scale to identify three treatment response subgroups among Lyme disease patients who remained ill: nonresponders, low responders, and high responders. The present study first characterizes the health status, symptom severity, and percentage of treatment response across these three patient subgroups together with a fourth subgroup, patients who identify as well. We then employed machine learning techniques across these subgroups to determine features most closely associated with improved patient outcomes, and we used traditional statistical techniques to examine how these features relate to treatment response of the four groups. High treatment response was most closely associated with (1) the use of antibiotics or a combination of antibiotics and alternative treatments, (2) longer duration of treatment, and (3) oversight by a clinician whose practice focused on the treatment of tick-borne diseases.

The Amyloidosis Forum: a public private partnership to advance drug development in AL amyloidosis

BACKGROUND

Immunoglobulin light chain (AL) amyloidosis is a rare, multi-systemic disorder characterized by two disease processes: an underlying plasma cell dyscrasia that provides the source of pathologic light chains, and the resulting organ dysfunction caused by deposition of amyloid light chain fibrils. There are no FDA approved treatments for AL amyloidosis; regimens developed for multiple myeloma are used off-label to treat the plasma cell disorder and no therapies are directed at organ deposition. Thus, an unmet medical need persists despite advances in disease management. A public-private partnership was recently formed between the Amyloidosis Research Consortium (ARC) and the US Food and Drug Administration (FDA) to bridge scientific gaps in drug development for the treatment of AL amyloidosis.

MAIN BODY

The inaugural Amyloidosis Forum was convened at FDA on 12 November 2019 and led by a multidisciplinary panel of physicians, health outcomes professionals, and representatives from the FDA, ARC, and pharmaceutical companies. Patients provided important perspectives on the pathway to diagnosis, challenges of rigorous treatment, and the burden of disease. The panel reviewed the epidemiology, pathobiology, and clinical features of AL amyloidosis. Hematologic characteristics, staging systems, and response criteria were examined with clear consensus that a "deep response" to plasma cell-directed treatments was critical to overall survival. Emphasis was placed on the heterogeneous clinical phenotypes of AL amyloidosis, including cardiovascular, renal, neurological, and gastrointestinal system manifestations that contribute to morbidity and/or mortality, but render challenges to clinical trial endpoint selection. FDA representatives discussed regulatory perspectives regarding demonstration of clinical benefits of investigational therapies in the context of a rare disease with multi-systemic manifestations. The panel also highlighted the potential importance of well-designed health-related quality of life instruments, quantification of system organ effects, the potential of advanced imaging technologies, and survival prediction models.

CONCLUSIONS

The Amyloidosis Forum identified a clear need for novel trial designs that are scientifically rigorous, feasible, and incorporate clinically meaningful endpoints based on an understanding of the natural history of the disease in an evolving therapeutic landscape. Future forums will delve into these issues and seek to include participation from additional stakeholders.

Depression treatment preferences by race/ethnicity and gender and associations between past healthcare discrimination experiences and present preferences in a nationally representative sample

BACKGROUND

Depression treatment disparities are well documented. Differing treatment preferences across social groups have been suggested as a cause of these disparities. However, existing studies of treatment preferences have been limited to individuals currently receiving clinical care, and existing measures of depression treatment preferences have not accounted for factors that may be disproportionately relevant to the preferences of disparities populations. This study therefore aimed to assess depression treatment preferences by race/ethnicity and gender in a representative community sample, while accounting for access to healthcare, provider characteristics, and past experiences of discrimination in healthcare settings.

METHODS

We conducted a nationally representative study of individuals with depression in and out of clinical care. Treatment preferences (medication versus talk therapy) were elicited through a discrete choice experiment that accounted for tradeoffs with factors related to access and provider characteristics deemed relevant by community stakeholders. Past discrimination was assessed through questions about unfair treatment from medical providers and front desk staff due to personal characteristics (e.g., race, gender). We used conditional logit models to assess treatment preferences by race/ethnicity and gender and examined whether preferences were associated with past experiences of healthcare discrimination.

RESULTS

Non-Hispanic white respondents (OR-here, the odds of a talk therapy preference over the odds of a medication preference: 0.80, 95% CI: 0.64, 0.99) and men (OR 0.76, 95% CI: 0.60, 0.96) preferred medication over talk therapy, while non-Hispanic black respondents, Hispanic respondents, and women did not prefer one over the other. Past discrimination in healthcare settings was associated with lower preferences for talk therapy and greater preferences for medication, particularly among non-Hispanic black respondents and women respondents.

CONCLUSIONS

Addressing previous methodological limitations yielded estimates for depression treatment preferences by race/ethnicity and gender that differed from past studies. Also, past discrimination in healthcare settings was associated with current treatment preferences.

Development of a mental health recovery module for the WHOQOL

PURPOSE

The WHOQOL tools are widely used, multi-faceted, patient-rated, quality of life (QoL) measures, developed by the World Health Organization. The WHOQOL questionnaires are used to assess generic quality of life issues affected by all health problems. This study developed a module to use with the WHOQOL tools to improve their sensitivity to Health Related QoL issues relevant to mental health recovery.

METHODS

Using a sequential mixed-methods approach, two research stages occurred. A qualitative stage invited 88 participants with experience of mental health recovery, into focus groups and importance rating activities, to identify candidate items for the new module. Following this, a quantitative stage involved 667 participants with, and without, mental health/addiction issues completing online or paper-based questionnaires to analyze which candidate items differentiated between those with and without mental health/addiction issues. Classical test theory and iterative Partial Credit Rasch Analysis were used to identify the most suitable candidate items for a reliable and valid mental health recovery module to be used with the WHOQOL tools.

RESULTS

Seventeen candidate items captured important HRQoL facets relevant to mental health recovery. Rasch analysis removed 10 misfitting items. The final 7-item module, which demonstrated the best Rasch model fit, enquires about recovery beliefs, identifying strengths, self-awareness, acceptance, capacity to relate, feeling understood, and recovery progress. Ordinal-to-interval conversion tables have been developed to optimize measurement precision when using the module.

CONCLUSIONS

Important HRQoL issues central to mental health recovery can be reliably evaluated by using the recovery module with the WHOQOL tools.

Emotional problems and health-related quality of life: population-based study

PURPOSE

The aim of the present study was to evaluate the influence of emotional problems on health-related quality of life (HRQoL) according to the type of emotional problem, degree of limitation, and perceived control of the problem with treatment.

METHOD

A population-based cross-sectional study with probabilistic stratified cluster sampling was conducted in 2014 and 2015 in the city of Campinas, Brazil. A total of 2145 individuals aged 18 years or older participated in the study. HRQoL was evaluated using the SF-36^® questionnaire. The dependent variables were the score of the eight scales of the SF-36^®. The independent variables were self-perceived emotional problems, type of emotional problem (according to ICD 10), degree of limitation, and perceived control of the problem with treatment. Mean scores were calculated and regression coefficients were adjusted for sex, age, number of health problems, and chronic diseases using multiple linear regression analysis.

RESULTS

The prevalence of emotional problems was 32.7%. Among the individuals with a problem, the mean SF-36^® scores were lower on all domains. Regarding the type of emotional problem, a complaint of depression exerted a stronger negative impact on HRQoL scores than anxiety. Moreover, a greater degree of limitation caused by the problem led to lower mean SF-36^® scores. The negative impact on HRQoL was substantially greater among those who did not have the problem under control.

CONCLUSION

In conclusion, the findings underscore the importance of the prevention and control of emotional problems with the aim of reducing the impact on HRQoL.

Social determinants of multimorbidity and multiple functional limitations among the ageing population of England, 2002-2015

This study explores longitudinal relationships between material, psycho-social and behavioural social determinants of health and multimorbidity of people aged 50 years or older in England. We used data from the English Longitudinal Study of Ageing collected biannually between 2002 and 2015. Apart from the basic measure of multimorbidity (two or more diseases within a person) we constructed two distinct measures of health in order to take into account the biology of ageing (complex multimorbidity and multiple functional limitations).

We found that the likelihood of multimorbidity and multiple functional limitations was consistently associated with the levels of household wealth, sense of control over one's life, physical activity and loneliness. Larger health inequalities were observed when health was measured as complex multimorbidity and multiple functional limitations than basic multimorbidity. Compared to the population group with the highest wealth, those with the lowest wealth had 47% higher odds of basic multimorbidity (95% C.I. 1.34-1.61), 73% higher odds of complex multimorbidity (95% C.I. 1.52-1.96) and 90% higher odds of having 10 or more functional limitations (95% C.I. 1.59-2.26). We did not find a dose-response relationship between alcohol consumption, smoking and multimorbidity but rather evidence of people in ill health actively moderating their health behaviour.

We suggest that materialist models of multimorbidity and functional limitation at older age can not, on their own, explain the health inequalities as the behavioural and psycho-social factors play an important role. Policies aiming to reduce the risk of multimorbidity and functional limitation should address the issue at these three levels simultaneously, using the existing national infrastructure of General Practices.

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Multimorbidity and functional limitation were associated with household wealth, sense of control over life, physical activity, loneliness.

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We observed larger health inequalities for complex multimorbidity and multiple functional limitation than basic multimorbidity.

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Materialist models of multimorbidity do not explain inequalities.

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Behavioural and psycho-social factors play an important role.

Perceived Health Status in Rural Manufacturing Workers

Manufacturing workers comprise 8.8% of the total U.S. workforce representing a sizable population for disease prevention and health promotion by occupational health nurses within worksite wellness programs. The purpose of this study was to examine the relationship between perceived health status and objective health status including existing chronic disease among rural manufacturing workers. Rural manufacturing workers ( n = 114) completed a general health survey and consented to a retrospective chart review. All were participants in a direct incentive wellness program with biometric data available. The majority of participants were males between the ages of 46 and 60 years, and nearly half of the sample had a college degree. A statistically significant difference was observed between number of chronic diseases and lower perceived health status. These findings have implications for occupational health nurses and other health care providers to identify workers at risk for chronic illness through self-perceived health status assessment.

Effects of chronic diseases on health-related quality of life and self-rated health among three adult age groups

Little is known about whether there is any difference in associations of chronic diseases with health-related quality of life and self-rated health across age groups. The purpose of the present study was to examine the associations of one specific and multiple chronic diseases with health-related quality of life and self-rated health (measured using the 5-level EQ-5D version) in three age groups: young (21-44 years), middle-aged (45-64 years), and older adults (≥65 years). Secondary data analysis of 1932 participants in the Population Health Index Survey was performed. Linear regression results showed that different chronic diseases had a characteristic effect on health-related quality of life and self-rated health among different age groups. The presence of a single chronic disease was associated with lower health-related quality of life and self-rated health in young adults. Multi-morbidity was consistently associated with decreased health-related quality of life and self-rated health in all age groups. Our findings suggest that although young adults have a lower prevalence of chronic diseases, their impacts on health-related quality of life and self-rated health can be as significant as that in middle-aged and older adults.

Removing the Mask of Average Treatment Effects in Chronic Lyme Disease Research Using Big Data and Subgroup Analysis

Lyme disease is caused by the bacteria borrelia burgdorferi and is spread primarily through the bite of a tick. There is considerable uncertainty in the medical community regarding the best approach to treating patients with Lyme disease who do not respond fully to short-term antibiotic therapy. These patients have persistent Lyme disease symptoms resulting from lack of treatment, under-treatment, or lack of response to their antibiotic treatment protocol. In the past, treatment trials have used small restrictive samples and relied on average treatment effects as their measure of success and produced conflicting results. To provide individualized care, clinicians need information that reflects their patient population. Today, we have the ability to analyze large data bases, including patient registries, that reflect the broader range of patients more typically seen in clinical practice. This allows us to examine treatment variation within the sample and identify groups of patients that are most responsive to treatment. Using patient-reported outcome data from the MyLymeData online patient registry, we show that sub-group analysis techniques can unmask valuable information that is hidden if averages alone are used. In our analysis, this approach revealed treatment effectiveness for up to a third of patients with Lyme disease. This study is important because it can help open the door to more individualized patient care using patient-centered outcomes and real-world evidence.

Health-related quality of life of people with multimorbidity at a community-based, interprofessional student-assisted clinic: Implications for assessment and intervention

Objective This study examined the relationship between the number of comorbidities and health-related quality of life (HRQoL) and between select physical conditions and HRQoL. Differences in HRQoL in comparison to a normative sample were also examined. Method A cross-sectional study among people with multimorbidity ( n = 401) attending a community-based, interdisciplinary health clinic was conducted. HRQoL was measured using the eight dimensions of the SF-36. Multiple linear regression and t-tests were used to analyse the data. Results A downward trend in HRQoL continued from 2 to 14 concurrent comorbidities. Patients with a higher number of comorbidities reported greater deficits in HRQoL, when age, gender, education and perceived social support were controlled for (beta = -0.11 to -0.31). The impact of the number of comorbidities was greatest for the bodily pain dimension of the SF-36 (beta = -0.31). Deficits were greatest for people with gastrointestinal conditions and back pain or sciatica. Moderate to large deficits in HRQoL compared to a normative population were found (Cohen's d = 0.54-1.16). Discussion Understanding associations between the number and type of physical comorbidities and HRQoL may assist clinical services to design broad but targeted interventions to optimize HRQoL in this group of people.

Effect of Hope Therapy on the Mood Status of Patients with Diabetes

Background:

Diabetes mellitus (DM) is a chronic disease which imposes high costs on patients and society and results in complications in patients. One of these complications includes issues related to mood. Thus, the present study was conducted with the aim to determine the effect of hope therapy on the mood status of patients with DM.

Materials and Methods:

This quasi-experimental study was performed with two groups in three stages in the summer of 2015 on 38 individuals. The study population consisted of all individuals with DM who referred to and had a medical record at Shahid Asghar Shabani Clinic (Isfahan, Iran) affiliated with the social security organization. From among the 350 individuals with medical records at the clinic, 38 who had the inclusion criteria were selected through simple random sampling. Participants were randomly assigned to control (n = 19) and experimental (n = 19) groups. The Zung Self-Rating Depression Scale was completed by both groups before, after, and 1 month after the intervention.

Results:

There was a significant difference in the mean scores of depression in the intervention group before (F = 19.48, p = 0.001), immediately after (t = 3.30, p = 0.002), and 1 month after the intervention (t = 3.09, p = 0.004), whereas there was no significant difference in the mean scores of depression before, immediately after, and 1 month after the intervention in the control group.

Conclusions:

The obtained results showed that hope therapy can reduce depression in patients with DM.

Quality of life and burden of morbidity in primary care users with multimorbidity

Purpose

The aim of this study was to assess the quality of life, number of diseases and burden of morbidity of multimorbid primary care users and whether a simple disease count or a multimorbidity burden score is more predictive of quality of life.

Patients and methods

Primary care patients with at least 1 of 11 specified chronic conditions were invited to participate in a postal survey. Participants completed the Disease Burden Impact Scale (DBIS) questionnaire, the five dimension-five level Euro-Qol (EQ-5D-5L) and standard demographics questions. The DBIS asks participants to self-report chronic conditions and to rate the impact of each condition. Descriptive statistics and analysis of variance were used to determine quality of life, count of diseases and burden of morbidity. Multiple linear regression analyses determined whether disease count or the DBIS, adjusted for demographics, was more predictive of the EQ-5D-5L scores.

Results

Thirty-one percent (n=917) responded, from which 69 were excluded as they reported no or only one condition, leaving 848 (92%) in the analysis. Slightly more women (50.9%) participated; the mean age was 67.0 (SD 13.9) and the mean number of conditions was 6.5 (SD 3.49). The mean scores were: DBIS 15.5 (SD 12.00; score range 0–140, with higher scores indicating higher multimorbidity burden), EQ-5D-5L score 0.69 (SD 0.28; score range −0.28 [a state worse than death] to 1 [best possible health state]) and EQ-5D Visual Analog Scale (EQ-VAS) 65.44 (SD 23.66; score range 0–100 with higher scores meaning better health). The model using the DBIS score was more predictive of the EQ-5D-5L score and EQ-VAS than the model using the disease count (R²_adj=0.53 using DBIS and R²_adj=0.42 using disease count for EQ-5D-5L score, and R²_adj=0.44 using DBIS versus R²_adj=0.34 using disease count for EQ-VAS). All models were statistically significant (p<0.001).

Conclusion

The DBIS is a useful measure for assessing multimorbidity from the perspective of primary care users in particular, as it is more predictive of health outcomes than a simple count of conditions.

Beyond Return to Work: The Effect of Multimorbidity on Work Functioning Trajectories After Sick Leave due to Common Mental Disorders

Objectives Patients with common mental disorders (CMDs) often suffer from comorbidities, which may limit their functioning at work. We assessed the longitudinal impact of multimorbidity, defined as two or more co-occurring chronic health conditions, on work functioning over time among workers who had returned to work after sick leave due to CMDs. Methods Prospective cohort study of 156 workers followed for 1 year after return to work from sick leave due to CMDs. A multimorbidity score was computed by counting severity-weighted chronic health conditions measured at baseline. Work functioning was measured at baseline and at 3, 6 and 12 months follow-up with the Work Role Functioning Questionnaire. Work functioning trajectories, i.e. the course of work functioning after return to work over time, were identified through latent class growth analysis. Results A total of 44 % of workers had multimorbidity. Four work functioning trajectories were identified: one (12 % of the workers) showed increasing work functioning scores during follow-up, whereas the other trajectories showed low, medium and high scores (23, 41 and 25 %, respectively) that remained stable across time points. Although multimorbidity did not predict membership in any trajectory, within the increasing score trajectory levels of work functioning were lower among those with high baseline multimorbidity score (p < 0.001). Conclusions Over time, multimorbidity negatively impacts work functioning after return to work from sick leave due to CMDs.

The Pediatric International Knee Documentation Committee (Pedi-IKDC) Subjective Knee Evaluation Form: Normative Data

BACKGROUND

Children are participating in sports at an increasingly younger age, which has contributed to an increased incidence of knee injuries among this population. Because of increased interest in the application of patient-reported outcome measures in orthopaedic surgery to evaluate treatment results, numerous knee outcome scores, including the International Knee Documentation Committee Subjective Form (IKDC), have been used to evaluate the knee. Although the IKDC has been validated only in adults, it is also being used for children because of a lack of appropriate outcome scores in the pediatric population. To address this concern, a pediatric version of the IKDC (Pedi-IKDC) was developed and evaluated for reliability, validity, and responsiveness. However, normative data for the Pedi-IKDC have not been established.

PURPOSE

We aimed to aid the interpretation of Pedi-IKDC scores by characterizing normative data in children and adolescents and to validate the Pedi-IKDC by examining differences in scores among children who had a history of knee surgery or limited activity compared with those who did not.

STUDY DESIGN

Cross-sectional study; Level of evidence, 3.

METHODS

We conducted a cross-sectional survey of 2000 children and adolescents aged 10 to 18 years living in the United States, who were recruited by ORC International to obtain equal numbers of participants by sex and by integer age group. Participants were asked to complete the Pedi-IKDC for 1 study-designated "index" knee (right or left) and to provide demographic data and information on their knee surgery history and recent (4-week) activity limitations. Raw Pedi-IKDC total scores were rescaled to a 0 to 100 scale. We used nonparametric Wilcoxon or Kruskal-Wallis tests to compare subgroup scores, and we used the van Elteren test to adjust for age. Unadjusted and adjusted P values were similar, and only unadjusted values are reported.

RESULTS

The number of respondents (N = 2000) was uniform with respect to age and sex, with 11% in each age represented (10-18 years). Fifty percent of respondents were female. Forty-nine states plus Washington, DC, were represented. In addition, 68% and 86% of respondents identified themselves as white and non-Hispanic, respectively. Seven percent of respondents (n = 136) respondents reported having prior surgery in 1 or both knees; 4% of these surgeries (n = 79) were in the index knee. The Pedi-IKDC score distribution was skewed left (mean ± SD score, 86.7 ± 16.8; median, 94.6) and 34% of scores reached the ceiling value of 100. Participants who reported prior surgery or limited activity in the index knee had median Pedi-IKDC scores that were approximately 25 points lower than participants without these histories ( P < .0001 for both comparisons). In contrast, although it was statistically significant, the variation by age ( P = .02), race ( P = .02), ethnicity ( P = .01), and level of sports/exercise participation ( P = .04) was much smaller (all ranges of median scores <4.5). There were no significant differences in scores in terms of respondent sex or geographic region.

CONCLUSION

Normative Pedi-IKDC scores were determined in this study. The strong association between Pedi-IKDC scores and prior knee surgery as well as recent activity limitations in the index knee can be used to evaluate clinical outcomes and supports the construct validity of the Pedi-IKDC. There was a large ceiling effect, with 34% of scores at the maximum value of 100. The lack of a sex-based effect and the minor variation with age both simplify the interpretation and use of the Pedi-IKDC. Therefore, Pedi-IKDC score distributions can provide assumptions for use in sample size or power calculations for research.

Parent Physical and Mental Health Comorbidity and Adolescent Behavior

The objectives of this study were to ascertain behavioral outcomes 10-11 years after 9/11 in adolescents ages 11-18 years (0-8 years old at the time of 9/11) enrolled in the World Trade Center Health Registry (Registry), and relate these outcomes to their 9/11-exposures and to parent health. Behavioral difficulties among adolescents were assessed using the adolescent-reported Strengths and Difficulties Questionnaire (SDQ). Parental post-traumatic stress disorder (PTSD) was assessed using a 9/11-specific PTSD Checklist-Civilian Version, a cut-off score of 44 or greater was considered probable PTSD. Multivariable logistic regression was used to estimate associations of 9/11-exposure and parental health with abnormal/borderline SDQ scores, adjusting for demographic variables that were significantly associated with the SDQ score in bivariate analyses. Of the 449 adolescents, 12.5% (n=56) had abnormal/borderline SDQ scores. In the multivariable model, adolescents with severe/ moderate 9/11-exposures were 2.4 times more likely to have abnormal/borderline SDQ scores compared to adolescents with mild 9/11-exposures (95% Confidence Interval (CI): 1.1-6.4). Adolescents who had a parent with 9/11-related PTSD and at least one comorbid chronic condition were 4.2 times more likely to have abnormal/borderline SDQ scores compared to adolescents with a parent who had no reported chronic health conditions. Adolescents whose parent reported 14 or more poor mental health days in the preceding 30 days were 3.4 times more likely to have abnormal/borderline SDQ scores (95% CI: 1.2-9.5) The finding that parents' health appears to influence adolescent behavior problems 10-11 years following a disaster may have implications for healthcare practitioners and disaster response planners.

Depression with pain co morbidity effect on quality of life among HIV positive patients in Uganda: a cross sectional study

Background

Depression with pain comorbidity (DPC) has not been clearly defined among HIV positive patients in sub-Saharan Africa. It still remains a challenge despite many studies in Africa documenting a high prevalence of pain and depression among people living with HIV/AIDS. Both are associated with a grave impact on the health related outcomes in this pandemic. This study aimed at determining the prevalence, factors associated and effect on quality of life of DPC among HIV positive patients.

Methods

In a cross-sectional survey, 345 HIV positive patients were enrolled into the study. Using a pre-tested standardised questionnaire the presence of DPC was assessed after a written informed consent. The associations between DPC, quality of life, depression history, severity, and cognition were determined. A p-value of <0.05 was considered to be significant.

Results

Among people living with HIV/AIDS (PLWHA), the prevalence of DPC was about 5 %. PLWHA with DPC were more likely to perceive their overall quality of life as poor and scored poorly in all the domains on the WHOQOL-BREF. They were also more likely to have more severe forms of depression and recurrent episodes of depression.

Conclusions

DPC is common, under diagnosed and undertreated in PLWHA in Uganda. Depression and pain screening as well as appropriate access to care for DPC have potential to improve quality of life and health outcomes. This calls for the integration and training of mental health services into HIV/AIDS care and future efforts by policy makers and HIV caregivers to address this treatment gap to advance the care of people living with HIV in Uganda.

IMPACT OF COMORBIDITY AND SOCIOECONOMIC STATUS ON QUALITY OF LIFE IN PATIENTS WITH CHRONIC DISEASES WHO ATTEND PRIMARY HEALTH CARE CENTRES

AIM

The aim of the study was to analyse the impact of chronic disease on the quality of life (QoL) and how QoL changes with comorbidity and socioeconomic status in persons who attend primary health care centres.

METHODS

The group of participants comprised 2,560 people who contacted six primary health care centres in Ankara. The level of QoL was determined by the World Health Organization Quality of Life Questionnaire Abbreviated Version (WHOQOL-BREF).

RESULTS

Mental disorders and diabetes-hypertension comorbidity had the most negative effect on the QoL. In the physical domain of the WHOQOL-BREF, the effect of diabetes-hypertension comorbidity is greater than the additive effect of hypertension and diabetes individually. The co-occurrence of any disease with cardiovascular disease does not change QoL within any domain, except for the co-occurrence of any disease with musculoskeletal diseases which deteriorated QoL in the physical domain. The higher income and socioeconomic status corresponded to higher QoL.

CONCLUSIONS

The effect of comorbidity on QoL can be different from the additive effects of the co-occurring diseases. Socioeconomic factors undoubtedly affect the relationship between chronic diseases and QoL, and this relationship points to health inequities among socioeconomic groups.

A nationwide assessment of asthma-mental health nexus among veterans

OBJECTIVE

In this study, we evaluated the association between both current and lifetime asthma to that of mental illness among veterans in the USA.

METHODS

We utilized the 2005-2013 National Survey on Drug Use and Health data, a national population-based survey in the USA. Mental illness was defined as past year major depressive episode and doctor diagnosis of depression. Survey-weighted univariate and multivariable regression analyses were utilized. A total of 20,581 veterans were included in the study.

RESULTS

A 4.00% and 7.50% prevalence of current and lifetime asthma were noted among veterans, respectively. A significantly higher prevalence of major depressive episode was noted among veterans with current asthma (8.23%), as compared to those without (4.68%), with a similar trend noted among those with lifetime asthma versus those without (7.84% vs. 4.58%). Doctor diagnosis of depression among veterans was higher among those with current asthma (11.83% vs. 5.86%) and lifetime asthma (10.32% vs. 5.76%), as compared to those without asthma. Upon adjusting for confounders, current asthma was significantly associated with past year major depressive episode [adjusted odds ratio (aOR) = 1.65) and depression diagnosis (aOR = 1.88). Similarly, veterans with lifetime asthma, as compared to those without, had higher odds of past year major depressive episode (aOR = 1.56) and depression diagnosis (aOR = 1.66).

CONCLUSION

The asthma/mental health nexus is significant among the US veterans. Such results warrant the need for integrated care to address mental health burden among veterans with asthma.

Multivariate assessment of health-related quality of life in Canadian Armed Forces Veterans after transition to civilian life

Introduction: The goal of this study was to identify factors associated with the SF-12 Physical Component Summary (PCS) and Mental Component Summary (MCS) measures of health-related quality of life (HRQOL) in former Canadian Armed Forces (CAF) Veterans after transition to civilian life. Methods: Data were taken from the 2010 Survey on Transition to Civilian Life, a national computer-assisted telephone survey of CAF Regular Force personnel who released during 1998–2007. Multivariate linear regression models were developed using a variety of socio-economic, military, health, and disability characteristics. Results: Mean age was 46 years (range 20–67 y), and 12% of the participants were women. Higher age was associated with lower PCS but higher MCS scores. High ratings of mastery and high satisfaction with life were strongly associated with higher scores on both the PCS and the MCS. Most chronic physical health conditions were associated with poorer PCS scores, in particular chronic pain, musculoskeletal conditions, cancer, gastrointestinal conditions, hearing problems and, to a lesser degree, chronic mental health conditions. The only chronic condition associated with poorer MCS scores was presence of one or more mental health conditions. Both activity limitation in major life domains and needing assistance with activities of daily living were negatively associated with PCS scores, whereas only the latter was negatively associated with MCS scores. Discussion: The models suggested protective factors and identified characteristics of subgroups vulnerable to poor HRQOL after accounting for confounding. Findings can be used to identify those at high risk who may benefit from targeted interventions and to develop health promotion and prevention strategies for Canadian Armed Forces personnel in transition to civilian life.

Multimorbidity and functional decline in community-dwelling adults: a systematic review

BACKGROUND

Multimorbidity affects up to one quarter of primary care populations. It is associated with reduced quality of life, an increased risk of mental health difficulties and increased healthcare utilisation. Functional decline is defined as developing difficulties with activities of daily living and is independently associated with poorer health outcomes. The aim of this systematic review was to examine the association between multimorbidity and functional decline and to what extent multimorbidity predicts future functional decline.

METHODS

A systematic literature search (1990-2014) and narrative analysis was conducted.

INCLUSION CRITERIA

Population; Community-dwelling adults (≥18 years), Risk; Multimorbidity defined as the presence of ≥2 chronic medical conditions in an individual, Primary outcome; Physical functional decline measured using a validated instrument, Study design; cross-sectional or cohort studies. The following databases were included: PubMed, EMBASE, CINAHL, the Cochrane Library and the International Research Community on Multimorbidity (IRCMo) publication list. Methodological quality assessment of included studies was conducted with a suitable risk of bias tool.

RESULTS

A total of 37 studies were eligible for inclusion (28 cross-sectional studies and 9 cohort studies). The majority of cross-sectional studies (n = 24/28) demonstrated a consistent association between multimorbidity and functional decline. Twelve of these studies reported that increasing numbers of chronic condition counts were associated with worsening functional decline. Nine cohort studies included 14,133 study participants with follow-up periods ranging from one to six years. The majority (n = 5) found that multimorbidity predicted functional decline. Of the five studies that reported the impact of increasing numbers of conditions, all reported greater functional decline with increasing numbers of conditions. One study examined disease severity and found that this also predicted greater functional decline. Overall, cohort studies were of good methodological quality but were mixed in terms of participants, multimorbidity definitions, follow-up duration, and outcome measures.

CONCLUSIONS

The available evidence indicates that multimorbidity predicts future functional decline, with greater decline in patients with higher numbers of conditions and greater disease severity. This review highlights the importance of considering physical functioning when designing interventions and systems of care for patients with multimorbidity, particularly for patients with higher numbers of conditions and greater disease severity.

Multimorbidity and functional decline in community-dwelling adults: a systematic review

BACKGROUND

Multimorbidity affects up to one quarter of primary care populations. It is associated with reduced quality of life, an increased risk of mental health difficulties and increased healthcare utilisation. Functional decline is defined as developing difficulties with activities of daily living and is independently associated with poorer health outcomes. The aim of this systematic review was to examine the association between multimorbidity and functional decline and to what extent multimorbidity predicts future functional decline.

METHODS

A systematic literature search (1990-2014) and narrative analysis was conducted.

INCLUSION CRITERIA

Population; Community-dwelling adults (≥18 years), Risk; Multimorbidity defined as the presence of ≥2 chronic medical conditions in an individual, Primary outcome; Physical functional decline measured using a validated instrument, Study design; cross-sectional or cohort studies. The following databases were included: PubMed, EMBASE, CINAHL, the Cochrane Library and the International Research Community on Multimorbidity (IRCMo) publication list. Methodological quality assessment of included studies was conducted with a suitable risk of bias tool.

RESULTS

A total of 37 studies were eligible for inclusion (28 cross-sectional studies and 9 cohort studies). The majority of cross-sectional studies (n = 24/28) demonstrated a consistent association between multimorbidity and functional decline. Twelve of these studies reported that increasing numbers of chronic condition counts were associated with worsening functional decline. Nine cohort studies included 14,133 study participants with follow-up periods ranging from one to six years. The majority (n = 5) found that multimorbidity predicted functional decline. Of the five studies that reported the impact of increasing numbers of conditions, all reported greater functional decline with increasing numbers of conditions. One study examined disease severity and found that this also predicted greater functional decline. Overall, cohort studies were of good methodological quality but were mixed in terms of participants, multimorbidity definitions, follow-up duration, and outcome measures.

CONCLUSIONS

The available evidence indicates that multimorbidity predicts future functional decline, with greater decline in patients with higher numbers of conditions and greater disease severity. This review highlights the importance of considering physical functioning when designing interventions and systems of care for patients with multimorbidity, particularly for patients with higher numbers of conditions and greater disease severity.

Does Multi-morbidity Mediate the Effect of Socioeconomics on Self-rated Health? Cross-country Differences

Background:

This study explored cross-country differences in how multi-morbidity explains the effects of socioeconomic characteristics on self-rated health.

Methods:

The study borrowed data from the Research on Early Life and Aging Trends and Effects. Participants were 44,530 individuals (age > 65 years) who were sampled from 15 countries (i.e. United States, China, India, Russia, Costa Rica, Puerto Rico, Mexico, Argentina, Barbados, Brazil, Chile, Cuba, Uruguay, Ghana and South Africa). Multi-morbidity was measured as number of chronic medical conditions. In Model I, main effects of socioeconomic factors on self-rated health were calculated using country-specific logistic regressions. In Model II, number of chronic conditions were also added to the models to find changes in coefficients for demographic and socioeconomic factors.

Results:

In the United States, number of chronic medical conditions explained the effect of income on subjective health. In Puerto Rico, number of chronic medical conditions explained the effect of marital status on subjective health. In Costa Rica, Argentina, Barbados, Cuba, and Uruguay, number of chronic medical conditions explained gender disparities in subjective health. In China, Mexico, Brazil, Russia, Chile, India, Ghana and South Africa, number of chronic medical conditions did not explain the effect of demographic or socioeconomic factors on subjective health.

Conclusions:

Multi-morbidity explains the effect of demographic and socioeconomic factors on subjective health in some but not other countries. Further research is needed.

The Association Between Self-Rated Mental Health Status and Total Health Care Expenditure: A Cross-Sectional Analysis of a Nationally Representative Sample

Both clinical diagnoses and self-rated measures of mental illness are associated with a variety of outcomes, including physical well-being, health utilization, and expenditure. However, much of current literature primarily utilizes clinically diagnosed data.This cross-sectional study explores the impact of mental illness and health care expenditure using 2 self-rated measures: self-rated measured of perceived mental health status (SRMH) and Kessler Screening Scale for Psychological Distress (K6).Data from the 2011 Medical Expenditure Panel Survey Household Component, a nationally representative sample of noninstitutionalized individuals (n = 18,295), were analyzed using bivariate χ tests and a 2-part model (logistics regression and generalized linear model regression for the first and second stages, respectively).Although predictive of any health expenditure, SRMH alone was not highly predictive of the dollar value of that health expenditure conditional on any spending. By comparison, the K6 measure was significantly and positively associated with the probability of any health expenditure as well as the dollar value of that spending. Taken together, both the K6 and SRMH measures suggest a positive relationship between poor mental health and the probability of any health expenditure and total expenditure conditional on any spending, even when adjusting for other confounding factors such as race/ethnicity, sex, age, educational attainment, insurance status, and some regional characteristics.Our results suggest that psychological distress and SRMH may represent potential pathways linking poor mental health to increased health care expenditure. Further research exploring the nuances of these relationships may aid researchers, practitioners, and policy makers in addressing issues of inflated health care expenditure in populations at risk for poor mental health.

Quantifying the importance of disease burden on perceived general health and depressive symptoms in patients within the Mayo Clinic Biobank

Background

Deficits in health-related quality of life (HRQOL) may be associated with worse patient experiences, outcomes and even survival. While there exists evidence to identify risk factors associated with deficits in HRQOL among patients with individual medical conditions such as cancer, it is less well established in more general populations without attention to specific illnesses. This study used patients with a wide range of medical conditions to identify contributors with the greatest influence on HRQOL deficits.

Methods

Self-perceived general health and depressive symptoms were assessed using data from 21,736 Mayo Clinic Biobank (MCB) participants. Each domain was dichotomized into categories related to poor health: deficit (poor/fair for general health and ≥3 for PHQ-2 depressive symptoms) or non-deficit. Logistic regression models were used to test the association of commonly collected demographic characteristics and disease burden with each HRQOL domain, adjusting for age and gender. Gradient boosting machine (GBM) models were applied to quantify the relative influence of contributors on each HRQOL domain.

Results

The prevalence of participants with a deficit was 9.5 % for perception of general health and 4.6 % for depressive symptoms. For both groups, disease burden had the strongest influence for deficit in HRQOL (63 % for general health and 42 % for depressive symptoms). For depressive symptoms, age was equally influential. The prevalence of a deficit in general health increased slightly with age for males, but remained stable across age for females. Deficit in depressive symptoms was inversely associated with age. For both HRQOL domains, risk of a deficit was associated with higher disease burden, lower levels of education, no alcohol consumption, smoking, and obesity. Subjects with deficits were less likely to report that they were currently working for pay than those without a deficit; this association was stronger among males than females.

Conclusions

Comorbid health burden has the strongest influence on deficits in self-perceived general health, while demographic factors show relatively minimal impact. For depressive symptoms, both age and comorbid health burden were equally important, with decreasing deficits in depressive symptoms with increasing age. For interpreting patient-reported metrics and comparison, one must account for comorbid health burden.

Variations in patient-reported physical health between cardiac and musculoskeletal diseases: systematic review and meta-analysis of population-based studies

Population-based assessments of physical health are important to evaluate healthcare resource allocation. Normative data on the level of physical impairments attributable to specific diseases and severity levels within these diseases is critical to interpreting such data. Our objective, by means of a systematic review and meta-analysis, was to test the hypothesis that specific diseases which form cardiovascular and musculoskeletal disease spectra are associated with gradients of physical impairments. We examined a cardiovascular disease spectrum which consisted of hypertension, ischaemic heart disease and heart failure, and a musculoskeletal disease spectrum of lower back pain, osteoarthritis and rheumatoid arthritis. Using Medline, EMBASE and CINAHL databases, articles which had examined these morbidities and used either the SF-12 or SF-36 in general or primary care populations were selected; data was extracted independently by three reviewers. Study characteristics were described and the mean physical component summary scores of the SF-12 or SF-36 was analysed by disease, using random-effects meta-analysis. The association between disease and physical health (mean physical component summary scores) was assessed using multilevel meta-regression analysis, adjusting for age, health setting, country, disease definition and SF-12 or 36 format. From this search, 26 articles were identified, yielding 70 separate estimates of mean physical component summary scores across the morbidities from 14 different countries. For the selected conditions, pooled unadjusted mean physical component summary scores were: 44.4 for hypertension, 38.9 for ischaemic heart disease, 35.9 for heart failure, 39.5 for lower back pain, 36.0 for osteoarthritis and 36.5 for rheumatoid arthritis. The adjusted meta-regression showed mean physical component summary score difference for ischaemic heart disease of −4.6 (95 % confidence interval −6.0 to −3.2) and heart failure −7.5 (−9.1 to −5.9) compared to the hypertension category. For osteoarthritis −4.2 (−5.3 to −3.0) and rheumatoid arthritis −3.9 (−9.5 to 1.6) compared to the lower back pain category. Our findings provide the benchmark norms for the differences in physical health within and between disease spectra. Improved characterisation of the relative impact of individual conditions on physical health will facilitate public health assessments of chronic diseases as well as assessments of interventions using functional patient-reported outcomes.

Quality of life, clinical characteristics and treatment adherence of people living with HIV/AIDS

OBJECTIVES

to assess the quality of life of people living with HIV/AIDS and verify its association with clinical characteristics and treatment adherence.

METHOD

cross-sectional study conducted in a hospital in the state of Paraíba, Brazil. A questionnaire was used to collect socio-demographic and clinical data. The quality of life scale proposed by the World Health Organization and a questionnaire to measure treatment adherence were used.

RESULTS

of the 314 interviewees, 190 (60.5%) were male, aged 43 years on average, 121 (38.5%) had attended up to five years of schooling, 108 (34.4%) received up to two times the minimum wage, and 112 (35.7%) were on sick leave. In regard to clinical variables, individuals with an undetectable viral load scored higher in all the domains concerning quality of life, with statistically significant differences in three domains. Regarding treatment adherence, 235 (73.8%) presented poor adherence and those who strictly adhered to treatment obtained better scores in quality of life. The results show that quality of life is better among individuals adherent to ART. Supporting people to adhere to the antiretroviral treatment should be a persistent task of healthcare workers and other people participating in the treatment, such as family members and friends.

Improvements in depression and changes in quality of life among HIV-infected adults

Improving quality of life (QOL) for HIV-infected individuals is an important objective of HIV care, given the considerable physical and emotional burden associated with living with HIV. Although worse QOL has been associated with depression, no research has quantified the potential of improvement in depression to prospectively improve QOL among HIV-infected adults. We analyzed data from 115 HIV-infected adults with depression enrolled in a randomized controlled trial to evaluate the effectiveness of improved depression care on antiretroviral drug adherence. Improvement in depression, the exposure of interest, was defined as the relative change in depression at six months compared to baseline and categorized as full response (≥50% improvement), partial response (25-49% improvement), and no response (<25% improvement). Multivariable linear regression was used to investigate the relationship between improvement in depression and four continuous measures of QOL at six months: physical QOL, mental QOL, HIV symptoms, and fatigue intensity. In multivariable analyses, physical QOL was higher among partial responders (mean difference [MD] = 2.51, 95% CI: -1.51, 6.54) and full responders (MD = 3.68, 95% CI: -0.36, 7.72) compared to individuals who did not respond. Mental QOL was an average of 4.01 points higher (95% CI: -1.01, 9.03) among partial responders and 14.34 points higher (95% CI: 9.42, 19.25) among full responders. HIV symptoms were lower for partial responders (MD = -0.69; 95% CI: -1.69, 0.30) and full responders (MD = -1.51; 95% CI: -2.50, -0.53). Fatigue intensity was also lower for partial responders (MD = -0.94; 95% CI: -1.94, 0.07) and full responders (MD = -3.00; 95% CI: -3.98, -2.02). Among HIV-infected adults with depression, improving access to high-quality depression treatment may also improve important QOL outcomes.

Severity of chronic Lyme disease compared to other chronic conditions: a quality of life survey

Overview. The Centers for Disease Control and Prevention (CDC) health-related quality of life (HRQoL) indicators are widely used in the general population to determine the burden of disease, identify health needs, and direct public health policy. These indicators also allow the burden of illness to be compared across different diseases. Although Lyme disease has recently been acknowledged as a major health threat in the USA with more than 300,000 new cases per year, no comprehensive assessment of the health burden of this tickborne disease is available. This study assesses the HRQoL of patients with chronic Lyme disease (CLD) and compares the severity of CLD to other chronic conditions. Methods. Of 5,357 subjects who responded to an online survey, 3,090 were selected for the study. Respondents were characterized as having CLD if they were clinically diagnosed with Lyme disease and had persisting symptoms lasting more than 6 months following antibiotic treatment. HRQoL of CLD patients was assessed using the CDC 9-item metric. The HRQoL analysis for CLD was compared to published analyses for the general population and other chronic illnesses using standard statistical methods. Results. Compared to the general population and patients with other chronic diseases reviewed here, patients with CLD reported significantly lower health quality status, more bad mental and physical health days, a significant symptom disease burden, and greater activity limitations. They also reported impairment in their ability to work, increased utilization of healthcare services, and greater out of pocket medical costs. Conclusions. CLD patients have significantly impaired HRQoL and greater healthcare utilization compared to the general population and patients with other chronic diseases. The heavy burden of illness associated with CLD highlights the need for earlier diagnosis and innovative treatment approaches that may reduce the burden of illness and concomitant costs posed by this illness.

Cross-country variation in additive effects of socio-economics, health behaviors, and comorbidities on subjective health of patients with diabetes

PURPOSE

This study explored cross-country differences in the additive effects of socio-economic characteristics, health behaviors and medical comorbidities on subjective health of patients with diabetes.

METHODS

The study analyzed data from the Research on Early Life and Aging Trends and Effects (RELATE). The participants were 9,179 adults with diabetes who were sampled from 15 countries (i.e. China, Costa Rica, Puerto Rico, United States, Mexico, Argentina, Barbados, Brazil, Chile, Cuba, Uruguay, India, Ghana, South Africa, and Russia). We fitted three logistic regressions to each country. Model I only included socio-economic characteristics (i.e. age, gender, education and income). In Model II, we also included health behaviors (i.e. smoking, drinking, and exercise). Model III included medical comorbidities (i.e. hypertension, respiratory disease, heart disease, stroke, and arthritis), in addition to the previous blocks.

RESULTS

Our models suggested cross-country differences in the additive effects of socio-economic characteristics, health behaviors and comorbidities on perceived health of patients with diabetes. Comorbid heart disease was the only condition that was consistently associated with poor subjective health regardless of country.

CONCLUSION

Countries show different profiles of social and behavioral determinants of subjective health among patients with diabetes. Our study suggests that universal programs that assume that determinants of well-being are similar across different countries may be over-simplistic. Thus instead of universal programs that use one protocol for health promotion of patients in all countries, locally designed interventions should be implemented in each country.

Concepts of body constitution, health and sub-health from traditional Chinese medicine perspective

This paper described and discussed the important literature and ideas about the concepts, types and measurement of body constitution, in terms of healthy, sub-healthy and disease status. In view of traditional Chinese medicine, ‘‘healthy” state is a status of relative balance of Yin and Yang to keep our bodily homeostasis. If there are significant physical and/or psychological stressors, such as loss of a beloved one and failure in study or work, the body can no longer keep its own bodily condition balanced and subsequently enter a state of ‘‘sub-health” (sub-optimal health). ‘‘unhealthy” body constitution such as ‘‘Dampness-heat”, ‘‘Cold-dampness” and ‘‘Heat- or Cold- dryness” with a subnormal body temperature and humidity and clinical manifestations such as insomnia, malaise and overweight will be presented. Immediate, appropriate strategies such as modification of life-style and seeking medical treatment can prevent evolution of an illness. Otherwise, the body will enter a disease status with a ‘‘pathological” body constitution of ‘‘Yin or Yang deficiency’’, ‘‘Blood-stasis” and/or ‘‘Phlegm-dampness”. To be complimentary with health promotion and disease prevention in Western medicine, understanding about an individual’s body constitution, together with its determinants (e.g., healthy eating and lifestyle behaviors), can contribute to a more proactive, holistic and individualized healthcare.

Quality of life impact of cardiovascular and affective conditions among older residents from urban and rural communities

Background

The demographic, health and contextual factors associated with quality of life impairment are investigated in older persons from New South Wales, Australia. We examine the impact of cardiovascular and affective conditions on impairment and the potential moderating influence of comorbidity and remoteness.

Methods

Data from persons aged 55 and over were drawn from two community cohorts sampling from across urban to very remote areas. Hierarchical linear regressions were used to assess: 1) the impact of cardiovascular and affective conditions on physical and psychological quality of life impairment; and 2) any influence of remoteness on these effects (N = 4364). Remoteness was geocoded to participants at the postal code level. Secondary data sources were used to examine the social capital and health service accessibility correlates of remoteness.

Results

Physical impairment was consistently associated with increased age, male gender, lower education, being unmarried, retirement, stroke, heart attack/angina, depression/anxiety, diabetes, hypertension, current obesity and low social support. Psychological impairment was consistently associated with lower age, being unmarried, stroke, heart attack/angina, depression/anxiety and low social support. Remoteness tended to be associated with lower psychological impairment, largely reflecting overall urban versus rural differences. The impacts of cardiovascular and affective conditions on quality of life were not influenced by remoteness. Social capital increased and health service accessibility decreased with remoteness, though no differences between outer-regional and remote/very remote areas were observed. Trends suggested that social capital was associated with lower psychological impairment and that the influence of cardiovascular conditions and social capital on psychological impairment was greater for persons with a history of affective conditions. The beneficial impact of social capital in reducing psychological impairment was more marked for those experiencing financial difficulty.

Conclusions

Cardiovascular and affective conditions are key determinants of physical and psychological impairment. Persons affected by physical-psychological comorbidity experience greater psychological impairment. Social capital is associated with community remoteness and may ameliorate the psychological impairment associated with affective disorders and financial difficulties. The use of classifications of remoteness that are sensitive to social and health service accessibility determinants of health may better inform future investigations into the impact of context on quality of life outcomes.