Prevalence of multimorbidity in the adult population attending primary care in Portugal: a cross-sectional study

PROMIS-29 in rheumatoid arthritis patients who screen positive or negative for fibromyalgia on MDHAQ FAST4 (fibromyalgia assessment screening tool) or 2011 fibromyalgia criteria

BACKGROUND

PROMIS-29 T-scores query health-related quality of life (HRQL) in 7 domains, physical function, pain, fatigue, anxiety, depression, sleep quality, and social participation, to establish population norms. An MDHAQ (multidimensional health assessment questionnaire) scores these 7 domains and includes medical information such as a FAST4 (fibromyalgia assessment screening tool) index. We analyzed PROMIS-29 T-scores in rheumatoid arthritis (RA) patients vs population norms and for positive vs negative fibromyalgia (FM) screens and compared PROMIS-29 T-scores to MDHAQ scores to assess HRQL.

METHODS

A cross-sectional study was performed at one routine visit of 213 RA patients, who completed MDHAQ, PROMIS-29, and reference 2011 FM Criteria. PROMIS-29 T-scores were compared in RA vs population norms and in FM+ vs FM- RA patients, based on MDHAQ/FAST4 and reference criteria. Possible associations between PROMIS-29 T-scores and corresponding MDHAQ scores were analyzed using Spearman correlations and multiple regressions.

RESULTS

Median PROMIS-29 T-scores indicated clinically and statistically significantly poorer status in 26-29% FM+ vs FM- RA patients, with larger differences than in RA patients vs population norms for 6/7 domains. MDHAQ scores were correlated significantly with each of 7 corresponding PROMIS-29 domains (|rho|≥0.62, p<0.001). Linear regressions explained 55-73% of PROMIS-29 T-score variation by MDHAQ scores and 56%-70% of MDHAQ score variation by PROMIS-29 T-scores.

CONCLUSIONS

Scores for 7 PROMIS-29 domains and MDHAQ were highly correlated. The MDHAQ is effective to assess HRQL and offers incremental medical information, including FAST4 screening. The results indicate the importance of assessing comorbidities such as fibromyalgia screening in interpreting PROMIS-29 T-scores.

A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population

Comorbidity is widespread in the ageing population, implying multiple and complex medical needs for individuals and a public health burden. Determining risk factors and predicting comorbidity development can help identify at-risk subjects and design prevention strategies. Using socio-demographic and clinical data from approximately 11,000 subjects monitored over 11 years in the English Longitudinal Study of Ageing, we develop a dynamic Bayesian network (DBN) to model the onset and interaction of three cardio-metabolic comorbidities, namely type 2 diabetes (T2D), hypertension, and heart problems. The DBN allows us to identify risk factors for developing each morbidity, simulate ageing progression over time, and stratify the population based on the risk of outcome occurrence. By applying hierarchical agglomerative clustering to the simulated, dynamic risk of experiencing morbidities, we identified patients with similar risk patterns and the variables contributing to their discrimination. The network reveals a direct joint effect of biomarkers and lifestyle on outcomes over time, such as the impact of fasting glucose, HbA1c, and BMI on T2D development. Mediated cross-relationships between comorbidities also emerge, showcasing the interconnected nature of these health issues. The model presents good calibration and discrimination ability, particularly in predicting the onset of T2D (iAUC-ROC = 0.828, iAUC-PR = 0.294) and survival (iAUC-ROC = 0.827, iAUC-PR = 0.311). Stratification analysis unveils two distinct clusters for all comorbidities, effectively discriminated by variables like HbA1c for T2D and age at baseline for heart problems. The developed DBN constitutes an effective, highly-explainable predictive risk tool for simulating and stratifying the dynamic risk of developing cardio-metabolic comorbidities. Its use could help identify the effects of risk factors and develop health policies that prevent the occurrence of comorbidities.

Bidirectional association between falls and multimorbidity in middle-aged and elderly Chinese adults: a national longitudinal study

This study explores the bidirectional association between multimorbidity and falls in Chinese middle-aged and elderly adults. Participants aged 45 and above from the China Health and Retirement Longitudinal Study were included. Binary logistic regression assessed the impact of chronic conditions on fall incidence (stage I), while multinomial logistic regression examined the relationship between baseline falls and multimorbidity (stage II). The fully adjusted odds ratios (ORs) for one, two, or three or more chronic conditions were 1.34, 1.65, and 2.02, respectively. Among participants without baseline falls, 28.61% developed two or more chronic conditions during follow-up, compared to 37.4% of those with a history of falls. Fully adjusted ORs for one, two, or three or more chronic conditions in those with a history of falls were 1.21, 1.38 and 1.70, respectively. The bidirectional relationship held in sensitivity and subgroup analyses. A bidirectional relationship exists between multimorbidity and falls in Chinese middle-aged and elderly adults. Strengthening chronic condition screening and treatment in primary healthcare may reduce falls risk, and prioritizing fall prevention and intervention in daily life is recommended.

Utilization of Primary Healthcare Services in Patients with Multimorbidity According to Their Risk Level by Adjusted Morbidity Groups: A Cross-Sectional Study in Chamartín District (Madrid)

Patients with multimorbidity have increased and more complex healthcare needs, posing their management a challenge for healthcare systems. This study aimed to describe their primary healthcare utilization and associated factors. A population-based cross-sectional study was conducted in a Spanish basic healthcare area including all patients with chronic conditions, differentiating between having multimorbidity or not. Sociodemographic, functional, clinical and service utilization variables were analyzed, stratifying the multimorbid population by the Adjusted Morbidity Groups (AMG) risk level, sex and age. A total of 6036 patients had multimorbidity, 64.2% being low risk, 28.5% medium risk and 7.3% high risk. Their mean age was 64.1 years and 63.5% were women, having on average 3.5 chronic diseases, and 25.3% were polymedicated. Their mean primary care contacts/year was 14.9 (7.8 with family doctors and 4.4 with nurses). Factors associated with primary care utilization were age (B-coefficient [BC] = 1.15;95% Confidence Interval [CI] = 0.30-2.01), female sex (BC = 1.04; CI = 0.30-1.78), having a caregiver (BC = 8.70; CI = 6.72-10.69), complexity (B-coefficient = 0.46; CI = 0.38-0.55), high-risk (B-coefficient = 2.29; CI = 1.26-3.32), numerous chronic diseases (B-coefficient = 1.20; CI = 0.37-2.04) and polypharmacy (B-coefficient = 5.05; CI = 4.00-6.10). This study provides valuable data on the application of AMG in multimorbid patients, revealing their healthcare utilization and the need for a patient-centered approach by primary care professionals. These results could guide in improving coordination among professionals, optimizing multimorbidity management and reducing costs derived from their extensive healthcare utilization.

Multimorbidity patterns in the German general population aged 40 years and over

AIM

The aim of this study was to identify and describe multimorbidity patterns among middle-aged and older community-dwelling individuals in Germany. Moreover, we aimed to determine potential gender differences in multimorbidity patterns.

METHODS

We analysed data from the most recent (sixth) wave (2017) of the large nationally representative German Ageing Survey (DEAS). Altogether n = 6,554 individuals participated, mean age was 62.0 (ranging from 43 to 92 years). Latent Class Analysis was performed to identify multimorbidity patterns, based on 13 chronic conditions and diseases. Multimorbidity was defined as the presence of at least two chronic conditions.

RESULTS

Altogether, 53.3% of individuals were multimorbid. We identified and clinically described five multimorbidity patterns: the relatively healthy class (45.1%), the high morbidity class (10.8%), the arthrosis/inflammatory/mental illnesses class (20.6%), the hypertension-metabolic illness class (21.7%), and the cardiovascular/cancer class (1.7%). Our analysis revealed that women compared to men have higher relative risk (IRR = 1.61, 95% CI 1.25-2.06) of being in the arthrosis/inflammatory/mental illnesses class, compared to the relatively healthy class. Furthermore, we found that, depending on which multimorbidity pattern individuals belong to, they differ greatly in terms of socio-demographic factors, health behaviour, and lifestyle factors.

CONCLUSIONS

We showed that the many chronic diseases cluster in a non-random way. Five clinically meaningful multimorbidity patterns were identified. Gender differences were apparent only in one class, namely in the arthrosis/inflammatory/mental illnesses class.

Quality of Life in the Face of Depression Among Older People: A Cross-Sectional Study in Brazil and Portugal

Background

This study aimed to analyze and compare the association of depression levels with quality of life among older people in primary health care in Brazil and Portugal.

Methods

This was a cross-sectional study conducted with older people in primary health care. The Medical Outcomes Short-Form Health Quality of Life (SF-36) instrument was used to measure the quality of life, and the Beck Depression Inventory was used to evaluate depression. We grouped the depression level variables into "absent/mild" and "moderate/severe" and tested their association with the categorical variables of quality of life ("better quality of life" and "worse quality of life").

Results

The total sample was 150 participants (Brazil n = 100 and Portugal n = 50). Each group results in the subcategory of absent/mild depression (n = 129) indicated better quality of life in Portugal in physical role functioning (P = .027/odds ratio = 2.768), physical functioning (P < .001/odds ratio = 5.864), and the physical health dimension (P = .002/odds ratio = 3.752). The binary logistic regression analysis highlighted the domains physical role functioning (odds ratio = 1.01/CI for 95% = 1.00-1.03), physical functioning (odds ratio = 1.02/CI for 95% = 1.01-1.03), and the physical health dimension (odds ratio = 1.09/CI for 95% = 1.04-1.13).

Conclusion

There was an association between better assessments of the physical and functional aspects of quality of life and lower levels of depression, in which we could highlight those aspects related to physical health and functionality. Among the groups studied, Portugal had better quality of life evaluations than Brazil. However, none of the groups overlapped the other in levels of depression.

Self-reported psychological symptoms and severe stress events, but not patients' gender, affect illness representation and medical advice by lay-referral network advisors

People who experience symptoms tend to discuss their ailments with other individuals who create their own illness representations, acting as intuitive physicians. We conducted two experimental studies to examine lay-referral network advisors' (i.e., acquaintances) representation of illness etiology and their recommendation to undergo health screenings for a man or woman with physical (vs. both physical and psychological) symptoms and a severe stressful (vs. no stressful) period in life. The presence of psychological and physical symptoms (Studies 1 and 2) and severe stressful life events (Study 2) affects lay-referral network advisors' disease representation. These factors cause participants to attribute symptoms etiology to psychological rather than organic factors and recommend more psychological screenings rather than physical ones. The simultaneous presence of psychological and physical symptoms and severe stressful events increases the likelihood of attributing the illness etiology to psychological factors, which increases participants' willingness to recommend psychological screenings. Study variables were unaffected by patient gender. The main findings, limitations, and future directions are discussed.

Association of lifestyle and sociodemographic factors on multimorbidity: a cross-sectional study in Portugal

Background

Lifestyle factors are widely recognized as modifiers and major risk factors for non-communicable diseases. Previous studies on the prevalence of multimorbidity in Portugal predict an unfavourable reality. The aim of the present study was to analyse 1) the prevalence of multimorbidity in Portugal and 2) the association of individuals’ lifestyles and sociodemographic factors with multimorbidity.

Methods

A cross-sectional, population-wide study was conducted on a representative sample of the general population of Portuguese adults aged ≥ 20 years. Categorical variables were described by their respective absolute and relative frequencies (n (%)). All variables with a p-value < 20% were included in the multiple logistic regression model. The variables were removed one by one in descending order of p-value (p) until the model contained only significant variables. The results are presented using the odds ratio and 95% confidence intervals. P-values ​​ < 5% were considered significant.

Results

The prevalence of multimorbidity was 48.9% (n = 436), and the odds of multimorbidity increased 4% (p < 0.001) for each year of increase in age. Participants with reasonable general health status had higher odds of multimorbidity (Odds ratio (OR) = 3.04; p < 0.001), and those with poor or very poor general health status had even higher odds (OR = 9.14; p < 0.001). Compared to those who never smoked, participants who quit smoking ≥ 1 year presented an increase of 91% (p = 0.005) in the odds of multimorbidity. Individuals with no good-quality sleep, non-moderate screen time, or non-moderate stress level had higher odds of multimorbidity (OR = 1.98; OR = 1.88; OR = 2.22, respectively. p < 0.001).

Conclusions

This study presented a new approach to multimorbidity in Portugal. Population-based, multidimensional lifestyle interventions are needed. It seems necessary to optimize and adjust measures to prevent non-communicable diseases to improve health in Portugal. In the future, longitudinal studies will be an asset to reinforce and clarify these conclusions.

Epidemiology and predictors of multimorbidity in Kharameh cohort study: A population-based cross-sectional study in southern Iran

Background and Aim

Multimorbidity is one of the problems and concerns of public health. The aim of this study was to estimate the prevalence and identify the risk factors associated with multimorbidity based on the data of the Kherameh cohort study.

Methods

This cross-sectional study was performed on 10,663 individuals aged 40-70 years in the south of Iran in 2015 to 2017. Demographic and behavioral characteristics were investigated. Multimorbidity was defined as the coexistence of two or more of two chronic diseases in a person. In this study, the prevalence of multimorbidity was calculated. Logistic regression was used to identify the predictors of multimorbidity.

Results

The prevalence of multimorbidity was 24.4%. The age-standardized prevalence rate was 18.01% in males and 29.6% in females. The most common underlying diseases were gastroesophageal reflux disease with hypertension (33.5%). Multiple logistic regression results showed that the age of 45-55 years (adjusted odds ratio [OR_adj]] = 1.22, 95% confidence interval [CI], 1.07-1.38), age of over 55 years (OR_adj = 1.21, 95% CI, 1.06-1.37), obesity (OR_adj = 3.65, 95% CI, 2.55-5.24), and overweight (OR_adj = 2.92, 95% CI, 2.05-4.14) were the risk factors of multimorbidity. Also, subjects with high socioeconomic status (OR_adj = 1.27, 95% CI, 1.1-1.45) and very high level of socioeconomic status (OR_adj = 1.53, 95% CI, 1.31-1.79) had a higher chance of having multimorbidity. The high level of education, alcohol consumption, having job, and high physical activity had a protective role against it.

Conclusion

The prevalence of multimorbidity was relatively high in the study area. According to the results of our study, age, obesity, and overweight had an important effect on multimorbidity. Therefore, determining interventional strategies for weight loss and control and treatment of chronic diseases, especially in the elderly, is very useful.

Quality of Life in Community-Dwelling Older People with Functional and Nutritional Impairment and Depressive Symptoms: A Comparative Cross-Sectional Study in Brazil and Portugal

Background: The interaction of quality of life (QoL) with functionality, nutrition and depression has been studied, but few studies have compared different realities. Our objective was to compare the associations of QoL with impaired functionality, nutritional status and depressive symptoms among older people patients treated in primary health care (PHC) in Brazil and Portugal. Methods: Cross-sectional, comparative study was conducted with primary data from PHC services in Brazil and Portugal with users over 65 years old. Participants’ scores were classified as “impaired” and “preserved” for QoL, functional decline, nutrition and depression. We used Pearson’s chi-square test, Fisher’s exact test and the Mann–Whitney U test. Results: Our sample had a total of 150 PHC users. We found lower QoL scores in Brazil, which were associated with the risk of functional decline for the domains Physical Functioning, General Health Perceptions, Mental Health dimensions and Physical Health. Nutritional impairment in the group from Portugal included the domains of Vitality and Social Role Functioning. For depressive impairment, Portugal showed an association with the domains Mental Health, Vitality and Social Role Functioning. Conclusions: QoL was associated with functional and nutritional impairment and depressive symptoms, highlighting physical, mental and social characteristics related to the perception of well-being.

Dietary patterns and prevalence of multimorbidity in women in southern Brazil

OBJECTIVE

This study aimed to investigate the association between dietary patterns and prevalence of multimorbidity in women.

METHODS

This population-based cross-sectional study was conducted in 2015 and included 1,128 women aged 20 to 69 years living in the urban area of São Leopoldo municipality, southern Brazil. Multimorbidity was defined as the presence of two or more chronic conditions, among the 26 identified. Poisson regression with robust variance was used to investigate the association between the three dietary patterns (healthy, risk, and Brazilian), using different models adjusted for sociodemographic, behavioral, and nutritional status variables.

RESULTS

The results showed differences in the prevalence of adherence to different dietary patterns and multimorbidity across age groups, with a prevalence of multimorbidity and a healthy dietary pattern showing a direct linear trend with age, whereas the risk dietary pattern showed an inverse linear trend with age. The prevalence of the Brazilian dietary pattern remained constant despite differences in age. After adjustment, we found that women with greater adherence to the Brazilian dietary pattern showed a 40% reduction in the prevalence of multimorbidity compared with those with less adherence (prevalence ratio, 0.60; 95% confidence interval, 0.40-0.86).

CONCLUSION

The results revealed that the prevalence of multimorbidity was significantly lower in women with greater adherence to the Brazilian dietary pattern and highlight the importance of dietary interventions in early adulthood as a way to prevent multimorbidity in women.

Multimorbidity

Multimorbidity (two or more coexisting conditions in an individual) is a growing global challenge with substantial effects on individuals, carers and society. Multimorbidity occurs a decade earlier in socioeconomically deprived communities and is associated with premature death, poorer function and quality of life and increased health-care utilization. Mechanisms underlying the development of multimorbidity are complex, interrelated and multilevel, but are related to ageing and underlying biological mechanisms and broader determinants of health such as socioeconomic deprivation. Little is known about prevention of multimorbidity, but focusing on psychosocial and behavioural factors, particularly population level interventions and structural changes, is likely to be beneficial. Most clinical practice guidelines and health-care training and delivery focus on single diseases, leading to care that is sometimes inadequate and potentially harmful. Multimorbidity requires person-centred care, prioritizing what matters most to the individual and the individual's carers, ensuring care that is effectively coordinated and minimally disruptive, and aligns with the patient's values. Interventions are likely to be complex and multifaceted. Although an increasing number of studies have examined multimorbidity interventions, there is still limited evidence to support any approach. Greater investment in multimorbidity research and training along with reconfiguration of health care supporting the management of multimorbidity is urgently needed.

Inappropriate Prescriptions in Older People-Translation and Adaptation to Portuguese of the STOPP/START Screening Tool

Inappropriate prescribing, which encompasses the prescription of potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), is a common problem for older people. The STOPP/START tool enables general practitioners, who are the main prescribers, to identify and reduce the incidence of PIMs and PPOs and appraise an older patient’s prescribed drugs during the diagnosis process to improve the clinical care quality. This study aimed to translate and validate the STOPP/START screening tool to enable its use by Portuguese physicians. A translation-back translation method including the validation of the obtained Portuguese version was used. Intra- and inter-rater reliability and agreement analyses were used in the validation process. A dataset containing the information of 334 patients was analyzed by one GP twice within a 2-week interval, while a dataset containing the information of 205 patients was independently analyzed by three GPs. Intra-rater reliability assessment led to a Kappa coefficient (κ) of 0.70 (0.65−0.74) for the STOPP criteria and 0.60 (0.52−0.68) for the START criteria, considered to be substantial and moderate values, respectively. The results of the inter-rater reliability rating were almost perfect for all combinations of raters (κ > 0.93). The version of the STOPP/START criteria translated into Portuguese represents an improvement in managing the medications prescribed to the elderly. It provides clinicians with a screening tool for detecting potentially inappropriate prescribing in patients older than 65 years old that is reliable and easy to use.

Sociodemographic factors affect the quality of life and burden of caregivers in special care in dentistry

AIMS

To analyze the epidemiological profile and quality of life (QoL) of patients with special needs and overload their caregivers.

METHODS AND RESULTS

Health-related QoL was assessed in a quantitative, observational, cross-sectional study of prospective characteristics using the WHOQOL-BREF and ZARIT-22 questionnaires. This study included 122 patients were included; they were divided into patients without caregiver assistance (n = 63) who answered WHOQOL-BREF, 49 caregivers (n = 49) who responded to ZARIT-22, and 10 patients were secondarily caregivers of their parents and answered the ZARIT-22 + WHOQOL-BREF questionnaires. The WHOQOL-BREF general score was 71.94 ± 10.58, and patients born in urban areas and married had positive correlations (p < .05) with the QoL scores in the physical and social domains. ZARIT-22 scores showed an average of 58.63 ± 14.07. Data cross-checking revealed that patients of white races (p = .030) and who lived in urban regions (p = .003) generated less overload to caregivers.

CONCLUSION

In the WHOQOL-BREF analysis, family income was a factor with direct impact, and all caregivers referred to moderate-to-high overload, with an increase in prevalence as far away from the service the patient resides.

The Perceived Risk of Hospitalization in Primary Health Care – The Importance of Multidimensional Assessment

Ageing has increased the use of health services, with a corresponding rise in avoidable hospitalizations. We aimed to assess and characterize the perceived risk of hospitalization in primary health care (PHC). 118 individuals aged ≥65 years, PHC patients, were assessed using the Community Risk Assessment Instrument by their General Practitioner, who identified their perceived risk of hospitalization, at one year. The instrument is composed of three domains (mental state, daily living activities (ADLs) state and medical state). Multivariate logistic regression was used to identify the best model to predict the risk of hospitalization. Four models were estimated, one for each domain and one with all the variables of the instrument. 58.5% were identified as being at risk of hospitalization. The best predictive models are those that include functionality assessment variables (ADL model and Community Assessment of Risk Instrument model). The model that includes all the variables of three domains presents the best predictive value. Mobility problems (Odds Ratio (OR) 16.18 [CI: 1.63–160.53]), meal preparation (OR 10.93 [CI: 1.59–75.13]), communication (OR 6.91 [CI: 1.37–34.80]) and palliative care (OR 4.84 [CI: 1.14–20.58]) are the best predictors of hospitalization risk. The use of multidimensional assessment tools can allow the timely identification of people at risk, contributing to a reduction in hospitalizations.

Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review

OBJECTIVE

To document socioepidemiological theories used to explain the relationship between socioeconomic disadvantage and multimorbidity.

DESIGN

Scoping review.

METHODS

A search strategy was developed and then applied to multiple electronic databases including Medline, Embase, PsychInfo, Web of Science, Scielo, Applied Social Sciences, ERIC, Humanities Index and Sociological Abstracts. After the selection of studies, data were extracted using a data charting plan. The last search was performed on the 28 September 2021. Extracted data included: study design, country, population subgroups, measures of socioeconomic inequality, assessment of multimorbidity and conclusion on the association between socioeconomic variables and multimorbidity. Included studies were further assessed on their use of theory, type of theories used and context of application. Finally, we conducted a meta-narrative synthesis to summarise the results.

RESULTS

A total of 64 studies were included in the review. Of these, 33 papers included theories as explanations for the association between socioeconomic position and multimorbidity. Within this group, 16 explicitly stated those theories and five tested at least one theory. Behavioural theories (health behaviours) were the most frequently used, followed by materialist (access to health resources) and psychosocial (stress pathways) theories. Most studies used theories as post hoc explanations for their findings or for study rationale. Supportive evidence was found for the role of material, behavioural and life course theories in explaining the relationship between social inequalities and multimorbidity.

CONCLUSION

Given the widely reported social inequalities in multimorbidity and its increasing public health burden, there is a critical gap in evidence on pathways from socioeconomic disadvantage to multimorbidity. Generating evidence of these pathways will guide the development of intervention and public policies to prevent multimorbidity among people living in social disadvantage. Material, behavioural and life course pathways can be targeted to reduce the negative effect of low socioeconomic position on multimorbidity.

COVID-19 patients followed in Portuguese Primary Care: a retrospective cohort study based on the national case series

BACKGROUND

The pandemic state caused by SARS CoV-2 came to overburden all levels of healthcare, including Primary Care. In Portugal, most patients were followed in ambulatory, monitored by phone calls or face-to-face visits by their General Practitioner.

OBJECTIVE

The aim was to characterize the pathway of COVID-19 outpatients in Primary Care and establish the risk factors that mostly influences the need for hospitalization or death during the follow-up.

METHODS

A retrospective cohort study was established, based on the official Portuguese dataset of the first wave between March 2nd and June 30th 2020. The predictive effects of variables, including age, gender, residency and clinical features, were analysed using Cox regression analysis.

RESULTS

A total of 38,545 patients infected with SARS-CoV-2 was included for analysis (56.3% female), with a median age of 47 years old. There were 4,327 hospitalized patients, 253 in intensive care units and 1,153 deaths. Females present lower risk of hospitalization (HR = 0.78; 95% CI: 0.73-0.82; P < 0.001) and age is associated with higher risk (HR = 7.08; 95% CI: 6.68-7.50; P < 0.001), as well as the presence of at least one comorbidity (HR = 7.03; 95% CI: 6.43-7.69; P < 0.001). Multivariate analysis showed that cardiovascular disease, diabetes, smoking, obesity, chronic kidney disease, cancer, chronic obstructive pulmonary disease, HIV and other immunodeficiencies, transplant or immunosuppression, haematological disorders, neurological disorders and liver disease increased the risk of hospitalization.

CONCLUSION

Male gender, age and the presence of comorbidities are the main determinants for hospitalization and death. These COVID-19 patients should receive a higher attention when they come to primary care for assistance.

Sociodemographic determinants of multimorbidity in Brazilian adults and older adults: a cross-sectional study

BACKGROUND

Multimorbidity due to non-communicable chronic diseases (NCDs) constitutes a significant challenge for healthcare systems. To attenuate its impacts, it is essential to identify the sociodemographic determinants of this condition, which can discriminate against population segments that are more exposed.

OBJECTIVE

To identify associations between multimorbidity conditions and sociodemographic indicators among Brazilian adults and older adults.

DESIGN AND SETTING

Cross-sectional telephone-based survey in 26 Brazilian state capitals and the federal district.

METHODS

The Vigitel 2013 survey was used, with data collected via a questionnaire. The outcome was multimorbidity (2, 3 or 4 NCDs), and the exposures were sociodemographic indicators (age, sex, skin color, marital status and education). The analysis consisted of multinomial logistic regression (odds ratio), stratified by age.

RESULTS

Among adults, multimorbidity comprising two, three or four diseases was associated with advancing age (P < 0.001); two and three diseases, with having a partner (P = 0.004 and P < 0.001, respectively); and two, three or four diseases, with lower education (P < 0.001). Among older adults, two, three or four diseases were associated with female sex (P < 0.001); three diseases, with living with a partner (P = 0.018); two diseases, with black skin color (P = 0.016); and two or three diseases, with lower education (P < 0.001).

CONCLUSIONS

To control and prevent multimorbidity, strategies for individuals with existing chronic diseases, with partners and with lower education levels are needed. Particularly for adults, advancing age should be considered; and for older adults, being a woman and having black skin color.

The impact on health-related quality of life of mixed mental and physical multimorbidity in adults aged 60 years and older: secondary analysis of primary care data

INTRODUCTION

Given the number of patients with mental conditions who receive treatment within the primary care (PC) context, and the high prevalence of multimorbidity (especially in older people), there is a need to study mental-physical multimorbidity (MPM) in this population and context. This study sought to identify the impact on health-related quality of life (QoL) of MPM in adults aged 60 years and older.

MATERIAL AND METHODS

Secondary analysis of data derived from 251 primary health individuals. Data were collected via a sociodemographic and clinical questionnaire. Health-related QoL was assessed using the SF-12 instrument. Multiple linear regressions were performed for physical and mental health in MPM patients and in patients with physical-only multimorbidity.

RESULTS

Mean age of participants was 70.6 years; 57.8% were female. Quality of life was lower in MPM patients than in those with physical-only multimorbidity. Regarding MPM patients, female sex, 75 years and over, and low income were associated with worse physical health. Female sex was also associated with worse mental health.

CONCLUSIONS

This study contributes to the global knowledge of MPM in older people, illuminates health-related QoL differences among MPM and physical-only multimorbidity patients, and highlights the importance of non-modifiable characteristics associated with deterioration of health-related QoL. Team collaboration between primary care physicians, psychiatrists (and other mental health providers), and social workers may be necessary to assess psychiatric and physical symptoms and provide for the care needs of older people with MPM.

Factors Associated With Clinical and Radiographic Severity in People With Osteoarthritis: A Cross-Sectional Population-Based Study

Background: Hip/knee osteoarthritis (HKOA) is a leading cause of disability and imposes a major socioeconomic burden. The aim of this study is to estimate the prevalence of HKOA in Portugal, characterised the clinical severity of HKOA in the population, and identified sociodemographic, lifestyle, and clinical factors associated with higher clinical and radiographic severity.

Methods: Participants with a diagnosis of HKOA from the EpiReumaPt study (2011–2013) were included (n = 1,087). Hip/knee osteoarthritis diagnosis was made through a structured evaluation by rheumatologists according to American College of Rheumatology criteria. Clinical severity was classified based on Hip Disability and Osteoarthritis Outcome Scale (HOOS) and Knee Injury and Osteoarthritis Outcome Scale (KOOS) score tertiles. Radiographic severity was classified based on the Kellgren-Lawrence grades as mild, moderate, or severe. Sociodemographic lifestyle and clinical variables, including the presence of anxiety and depression symptoms, were analysed. Factors associated with higher clinical and radiographic severity were identified using ordinal logistic regression models.

Results: Hip/knee osteoarthritis diagnosis was present in 14.1% of the Portuguese population [12.4% with knee osteoarthritis (OA) and 2.9% with hip OA]. Clinical severity was similar between people with hip (HOOS = 55.79 ± 20.88) and knee (KOOS = 55.33 ± 20.641) OA. People in the high HOOS/KOOS tertile tended to be older (64.39 ± 0.70 years), female (75.2%), overweight (39.0%) or obese (45.9%), and had multimorbidity (86.1%). Factors significantly associated with higher clinical severity tertile were age [55–64 years: odds ratio (OR) = 3.18; 65–74 years: OR = 3.25; ≥75 years: OR = 4.24], female sex (OR = 1.60), multimorbidity (OR = 1.75), being overweight (OR = 2.01) or obese (OR = 2.82), and having anxiety symptoms (OR = 1.83). Years of education was inversely associated with higher clinical severity. Factors significantly associated with higher radiographic severity were age (65–74 years: OR = 3.59; ≥75 years: OR = 3.05) and being in the high HOOS/KOOS tertile (OR = 4.91). Being a female and live in Lisbon or in the Centre region were inversely associated with the higher radiographic severity.

Conclusion: Hip/knee osteoarthritis is present in ~1.1 million of Portuguese people. Age, educational level, and obesity are independently associated with HKOA clinical severity, whereas age, sex, geographic location, and clinical severity are independently associated with radiographic severity.

Multimorbidity is associated with fragility fractures in women 50 years and older: A nationwide cross-sectional study

INTRODUCTION

Multimorbidity is a worldwide health problem, especially in elderly patients who have a higher risk of fragility fracture. Currently, there is insufficient knowledge about the burden of multimorbidity in patients with previous fragility fracture. The aim of this study was to evaluate the association between multimorbidity and previous fragility fracture, and to assess the effect of fragility fracture and/or multimorbidity in the perception of quality-of-life and physical function, in women 50 years of age and older.

METHODS

Women aged ≥50 years from the EpiReumaPt study (2011-2013), a nationwide population-based study, were evaluated. Self-reported data regarding sociodemographics, health-related quality of life, physical functioning, fragility fracture, and multimorbidity were collected using a semi-structured questionnaire. Multimorbidity was defined as 2 or more chronic non-communicable diseases. Descriptive exploratory analysis of the data was performed using hypothesis testing. Multiple logistic regression modelling was used to assess the association between multimorbidity and fragility fractures, and linear regression was used for the quality-of-life and physical function outcomes.

RESULTS

The estimated prevalence of fragility fracture in women older than 50 years was 17.5%. A higher prevalence of multimorbidity (74.6%) was found in the group of women with previous fragility fracture than in those without previous fragility fracture. Multivariate logistic regression analysis revealed that women with multimorbidity had a higher odds of fragility fracture (adjusted odds ratio, 1.38; 95% confidence interval, 1.12-1.69), compared with women with 1 or no self-reported non-communicable chronic diseases. In women with previous fragility fracture, rheumatic diseases (62.7%) and hypertension (58.6%) were the most frequently self-reported non-communicable chronic diseases. The combination of fragility fracture and multimorbidity was associated with a lower quality of life and higher degree of disability.

CONCLUSIONS

Women 50 years and older with multimorbidity had a significantly increased odds of fragility fracture. Fragility fracture combined with multimorbidity was negatively associated with quality of life and positively associated with disability. This study emphasizes the need to redesign health services to care for patients to prevent non-communicable chronic diseases and fragility fracture, particularly in women 50 years and older, in whom these diseases are likely to potentiate the risk of fragility fracture.

Depression and quality of life in Brazilian and Portuguese older people communities: Analysis of association

We aimed to compare the association of depression with aspects of quality of life (QoL) among older people users of primary health care (PHC) living in Brazil and Portugal.We carried out an observational, cross-sectional and comparative study with a quantitative approach in the PHC scope in Brazil and Portugal, where we obtained a nonrandom sample of 150 participants aged 65 years or older (100 Brazilians and 50 Portuguese). We used the socioeconomic and health data questionnaire, the Medical Outcomes Short-Form Health Survey QoL (SF-36) questionnaire and the Beck Inventory.Among the socioeconomic profiles, most were females aged between 65 and 80 years in both countries. There was a significant difference between groups in the income variable, with 100.0% of Portuguese people earning up to 1 minimum wage (P value <.001), and the presence of chronic diseases in 92.0% of respondents in Portugal (P value = .033). In the association analysis, most aspects of QoL had a higher median score (>50.0) within the categorical variables of "absent" and "mild" depression. The Emotional role functioning, Physical role functioning, Physical functioning, Mental health, Total score domains and the Mental health and Physical health summary measures stood out with this behavior in Brazil and in Portugal, where these latter 2 presented moderate to strong correlation values (ρ > 0.400) in Portugal. Greater associations of depression on QoL were revealed in Portugal than in Brazil. Among their most expressive associations, the Physical role functioning (odds ratio [OR] = 4.776; 95.0% confidence interval [CI]: 2.41-9.43), Physical functioning (OR = 3.037; 95.0% CI: 3.037), Vitality (OR = 6.000; 95.0% CI: 1.56-23.07) and Total score (OR = 3.727; 95.0% CI: 2.24-6.17) domains and the Mental health summary measure (OR = 3.870; 95.0% CI: 2.13-7.02) stood out.Aspects related to the emotional, physical, functional and mental health components stood out. The association and correlation with depression were more expressive in Portugal compared to Brazil. However, similar results were obtained in Brazil but with less relevance.

Persistence of Multimorbidity Among Women Aged 15-49 Years in India: An Analysis of Prevalence, Patterns and Correlation

Objectives: The present study has examined the patterns and possible correlates of coexisting morbidities among women aged 15–49 years based on biomarker measurement data at the national level in India.

Methods: National Family Health Survey conducted during 2015–16 used in the present study. Simple disease count approach was used to calculate the multimorbidity among women. Multinomial logistic regression was applied to analyze the predictors of multimorbidity among women.

Results: Almost 30% of the women had any of the selected morbidity and 9% of them had two or more morbidities. Hypertension and overweight combination (3%) was the most prevalent among women. The risk of having two or more morbidities was predominantly high among women aged above 30 years, low educated women, women from the wealthier group, ever-married women and women who were consuming tobacco as compared to their counterparts.

Conclusions: From the policy perspective, the identification of groups of women vulnerable to multimorbidity will help in the selection of programmatic focus and preventive public health intervention in adult phase to reduce the multimorbidity burden among women in old ages.

Driving factors for the utilisation of healthcare services by people with osteoarthritis in Portugal: results from a nationwide population-based study

Background

Worldwide, the current management of knee osteoarthritis appears heterogeneous, high-cost and often not based on current best evidence. The absence of epidemiological data regarding the utilisation of healthcare services may conceal the need for improvements in the management of osteoarthritis. The aim of this study is to explore the profiles of healthcare services utilisation by people with knee osteoarthritis, and to analyse their determinants, according to Andersen’s behavioural model.

Methods

We analysed a sample of 978 participants diagnosed with knee osteoarthritis from the population-based study EpiReumaPt, in Portugal. Data was collected with a structured interview, and the diagnosis of knee osteoarthritis was validated by a rheumatologist team. With the Two-step Cluster procedure, we primarily identified different profiles of healthcare utilisation according to the services most used by patients with knee osteoarthritis. Secondly, we analysed the determinants of each profile, using multinomial logistic regression, according to the predisposing characteristics, enabling factors and need variables.

Results

In our sample, a high proportion of participants are overweight or obese (82,6%, n = 748) and physically inactive (20,6%, n = 201) and a small proportion had physiotherapy management (14,4%, n = 141). We identified three profiles of healthcare utilisation: “HighUsers”; “GPUsers”; “LowUsers”. “HighUsers” represents more than 35% of the sample, and are also the participants with higher utilisation of medical appointments. “GPUsers” represent the participants with higher utilisation of general practitioner appointments. Within these profiles, age and geographic location – indicated as predisposing characteristics; employment status and healthcare insurance - as enabling factors; number of comorbidities, physical function, health-related quality of life, anxiety and physical exercise - as need variables, showed associations (p < 0,05) with the higher utilisation of healthcare services profiles.

Conclusions

Healthcare utilisation by people with knee osteoarthritis is not driven only by clinical needs. The predisposing characteristics and enabling factors associated with healthcare utilisation reveal inequities in the access to healthcare and variability in the management of people with knee osteoarthritis. Research and implementation of whole-system strategies to improve equity in the access and quality of care are paramount in order to diminish the impact of osteoarthritis at individual-, societal- and economic-level.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-07045-4.

Effects of Living Alone and Sedentary Behavior on Quality of Life in Patients With Multimorbidities: A Secondary Analysis of Cross-Sectional Survey Data Obtained From the National Community Database

BACKGROUND

Having multimorbidities may increase health problems. Moreover, health-related quality of life correlates negatively with the number of chronic conditions a patient has. Living alone has been identified as a predictor of poorer quality of life, and a sedentary lifestyle is widely known to increase health problems and mortality.

PURPOSE

This study was designed to identify the effects of living alone and of sedentary behavior on health-related quality of life in patients with multimorbidities using nationally representative community data.

METHODS

A secondary data analysis of the Korea National Health and Nutrition Examination Survey was conducted. In this study, 1,725 adult patients aged 19 years and above with two or more chronic diseases were selected for the analysis. Health-related quality of life was measured using the European Quality of Life-5 Dimensions. Multiple logistic regression was performed to identify the effects of living alone and of sedentary behavior on health-related quality of life. The statistical analyses took into account the components of the complex sampling design such as the strata, clusters, weights, and adjustment procedures, and missing data were treated in a valid manner.

RESULTS

After adjusting for gender, age, employment status, and number of chronic diseases, it was found that the odds of having a high health-related quality of life were lower in single households than in multiperson households (odds ratio = 0.62, 95% confidence interval [0.46, 0.84]). In addition, after adjusting for gender, age, employment status, number of chronic diseases, and living arrangement, the odds of having a high health-related quality of life decreased as sedentary time increased (odds ratio = 0.93, 95% confidence interval [0.89, 0.96]).

CONCLUSIONS/IMPLICATIONS FOR PRACTICE

To improve quality of life in patients with multimorbidities, nursing interventions that support patients who live alone and have complicated disease-related issues and that reduce sedentary behavior should be developed.

The prevalence of multimorbidity in primary care: a comparison of two definitions of multimorbidity with two different lists of chronic conditions in Singapore

Background

The prevalence of multimorbidity varies widely due to the lack of consensus in defining multimorbidity. This study aimed to measure the prevalence of multimorbidity in a primary care setting using two definitions of multimorbidity with two different lists of chronic conditions.

Methods

We conducted a cross-sectional study of 787,446 patients, aged 0 to 99 years, who consulted a family physician between July 2015 to June 2016. Multimorbidity was defined as ‘two or more’ (MM2+) or ‘three or more’ (MM3+) chronic conditions using the Fortin list and Chronic Disease Management Program (CDMP) list of chronic conditions. Crude and standardised prevalence rates were reported, and the corresponding age, sex or ethnic-stratified standardised prevalence rates were adjusted to the local population census.

Results

The number of patients with multimorbidity increased with age. Age-sex-ethnicity standardised prevalence rates of multimorbidity using MM2+ and MM3+ for Fortin list (25.9, 17.2%) were higher than those for CDMP list (22.0%; 12.4%). Sex-stratified, age-ethnicity standardised prevalence rates for MM2+ and MM3+ were consistently higher in males compared to females for both lists. Chinese and Indians have the highest standardised prevalence rates among the four ethnicities using MM2+ and MM3+ respectively.

Conclusions

MM3+ was better at identifying a smaller number of patients with multimorbidity requiring higher needs compared to MM2+. Using the Fortin list seemed more appropriate than the CDMP list because the chronic conditions in Fortin’s list were more commonly seen in primary care. A consistent definition of multimorbidity will help researchers and clinicians to understand the epidemiology of multimorbidity better.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11464-7.

Functioning and Cognition of Portuguese Older Adults Attending in Residential Homes and Day Centers: A Comparative Study

The functioning and cognition of older adults can be influenced by different care contexts. We aimed to compare the functioning profiles and cognition of institutionalized and noninstitutionalized older adults and to evaluate the effect of sociodemographic factors on the functioning and cognition. This is a cross-sectional study that included 593 older adults. The data were collected using the Elderly Nursing Core Set and Mini Mental State Examination. Women, older adults who did not attend school and those live in Residential Homes are more likely to have a higher degree of cognitive impairment than men, those who attended school and those frequent Day Centre. The chances of an older adult with moderate or severe cognitive impairment increases with age. Older women, older adults who did not attend school, and older adults who live in Residential Homes had a higher degree of functional problem than men, those who attended school and those who frequent a Day Centre, independently to age. It is necessary to promote the health literacy of older adults throughout life. The implementation of social and health responses should allow older adults to remain in their homes, given the influence of functioning and cognition on self-care and quality of life.

Translation and adaptation of the STOPP-START screening tool to Portuguese for detecting inappropriate prescriptions in older people: a protocol

INTRODUCTION

Rational prescribing for older adults is a challenge because they usually exhibit multimorbidity and multimedication. One available and reliable tool to tackle this issue consists of the Screening Tool of Older People's Prescriptions (STOPP) and the Screening Tool to Alert to Right Treatment (START), which has been associated with improvements in clinical outcomes. Our goal here is to translate and validate the STOPP-START screening tool for use with Portuguese general practitioners/family physicians.

METHODS AND ANALYSIS

The study will be conducted in four phases: phase I-translation of the STOPP-START screening tool to Portuguese; phase II-data collection of patient data; phase III-intrarater reliability and agreement study; and phase IV-inter-rater reliability and agreement study.

ETHICS AND DISSEMINATION

This study was approved by the Ethics Committee of the Central Health Region of Portugal (where the study will take place). Every participant will sign a written consent form. We intend to publish the full article in a related peer-reviewed journal, conference presentations, reports and in a PhD thesis.

The Elderly Nursing Core Set and the cognition of Portuguese older adults: a cross-sectional study

BACKGROUND

The aging population and its associated health needs require specific nursing care. The aim of this study was to draw an epidemiological profile of Portuguese elderly adults attending in residential homes and day centers and to evaluate the association between the functioning and cognition of these older adults and their sociodemographic characteristics and presence of multimorbidity.

METHODS

This was a cross-sectional study of 613 older adults. Functioning was assessed using the Elderly Nursing Core Set, and cognition was assessed using the Mini Mental State Examination. Descriptive and inferential analyses were performed.

RESULTS

The mean age was 85.73 years; the majority of the participants were female (69.3 %), widowed (67.0 %) and over 85 years old (60.4 %). A total of 68.2 % of the sample presented multimorbidity. A total of 54.5 % had cognitive impairment, and the average functional profile was classified as "moderate difficulty". Institutionalized older adults had more diseases than those who attended the day center. Women, those who were illiterate, those who were institutionalized and older adults who had diseases of the nervous system had a worse functional profile and greater cognitive impairment. Those with multimorbidity had a worse functional profile, and those without a spouse had greater cognitive impairment.

CONCLUSIONS

Given the functional and cognitive profile of older adults, it is necessary to adopt care practices focused on the rehabilitation/maintenance of self-care and affective relationships. This care must be provided by highly qualified professionals. Therefore, it is necessary to increase the ratio of nurses per older adult in these institutions.

Multimorbidity patterns in old adults and their associated multi-layered factors: a cross-sectional study

BACKGROUND

Influenced by various factors such as socio-demographic characteristics, behavioral lifestyles and socio-cultural environment, the multimorbidity patterns in old adults remain complex. This study aims to identify their characteristics and associated multi-layered factors based on health ecological model.

METHODS

In 2019, we surveyed a total of 7480 participants aged 60+ by using a multi-stage random cluster sampling method in Shanxi province, China. Latent class analysis was used to discriminate the multimorbidity patterns in old adults, and hierarchical regression was performed to determine the multi-layered factors associated with their various multimorbidity patterns.

RESULTS

The prevalence of multimorbidity was 34.70% among the old patients with chronic disease. Over half (60.59%) of the patients with multimorbidity had two co-existing chronic diseases. "Degenerative/digestive diseases", "metabolic diseases" and "cardiovascular diseases" were three specific multimorbidity patterns. Behavioral lifestyles-layered factors had the most explanatory power for the three patterns, whose proportions of explanatory power were 54.00, 43.90 and 48.15% individually. But the contributions of other multi-layered factors were different in different patterns; balanced diet, medication adherence, the size of family and friendship network, and different types of basic medical insurance might have the opposite effect on the three multimorbidity patterns (p < 0.05).

CONCLUSIONS

In management of old patients with multimorbidity, we should prioritize both the "lifestyle change"-centered systematic management strategy and group-customized intervention programs.

Priorities and preferences for care of people with multiple chronic conditions

Background

To guide the development of high‐quality care for people with multiple chronic conditions, partners of the European Joint Action CHRODIS developed the Integrated Multimorbidity Care Model. To assess its suitability for improving care for people with multimorbidity in the Netherlands, the model was piloted in a primary care setting with both patients and care providers.

Aim

This paper reports on the patient perspective, and aims to explore the priorities, underlying values and preferences for care of people with multimorbidity.

Participants and methods

Twenty persons with multimorbidity (selected from general practice registries) participated in a focus group or telephone interview. Subsequently, a questionnaire was completed by 863 persons with multimorbidity registered with 14 general practices. Qualitative data were thematically analysed and quantitative data by means of descriptive statistics.

Results

Frequently prioritized elements of care were the use of shared electronic health records, regular comprehensive assessments, self‐management support and shared decision making, and care coordination. Preferences for how these elements should be specifically addressed differed according to individual values (eg weighing safety against privacy) and needs (eg ways of coping with multimorbidity).

Conclusion

The JA‐CHRODIS Integrated Multimorbidity Care Model reflects the priorities and preferences for care of people with multimorbidity in the Netherlands, which supports its relevance to guide the development of person‐centred integrated care for people with multiple chronic conditions in the Netherlands.

Patient contribution

European patient experts contributed to the development and applicability assessment of the JA‐CHRODIS Integrated Multimorbidity Care Model; Dutch patients participated in focus groups, interviews and a survey.

Multimorbidity in Canadians living in the community: Results from the Canadian Longitudinal Study of Aging

OBJECTIVE

To determine the mean number of chronic diseases in Canadians aged 45 to 85 years who are living in the community, and to characterize the association of multimorbidity with age, sex, and social position.

DESIGN

An analysis of data from the Canadian Longitudinal Study on Aging. The number of self-reported chronic diseases was summed, and then the mean number of chronic health problems was standardized to the 2011 Canadian population. Analyses were conducted stratified on sex, age, individual income, household income, and education level.

SETTING

Canada.

PARTICIPANTS

A total of 21 241 community-living Canadians aged 45 to 85 years.

MAIN OUTCOME MEASURES

Overall, 31 chronic diseases (self-reported from a list) were considered, as were risk factors that were not mental health conditions or acute in nature. Age, sex, education, and household and individual incomes were also self-reported.

RESULTS

Multimorbidity was common, and the mean number of chronic illnesses was 3.1. Women had a higher number of chronic illnesses than men. Those with lower income and less education had more chronic conditions. The number of chronic conditions was strongly associated with age. The mean number of conditions was 2.1 in those aged 45 to 54; 2.9 in those 55 to 64; 3.8 in those aged 65 to 74, and 4.8 in those aged 75 and older (P < .05, ANOVA [analysis of variance]).

CONCLUSION

Multimorbidity is common in the Canadian population and is strongly related to age.

Household and area-level social determinants of multimorbidity: a systematic review

BACKGROUND

No clear synthesis of evidence examining household and area-level social determinants of multimorbidity exists. This study aimed to systematically review the existing literature on associations between household and area-level social determinants of health (SDoH) and multimorbidity prevalence or incidence in the general population.

METHODS

Six databases (MedLine, EMBASE, PsychINFO, Web of Science, CINAHL Plus and Scopus) were searched. The search was limited to peer-reviewed studies conducted in high-income countries and published in English between 2010 and 2019. A second reviewer screened all titles with abstracts and a subset of full texts. Study quality was assessed and protocol pre-registered (CRD42019135281).

RESULTS

41 studies spanning North America, Europe and Australasia were included. Household income and area-level deprivation were the most explored with fairly consistent findings. The odds of multimorbidity were up to 4.4 times higher for participants with the lowest level of income compared with the highest level. Those living in the most deprived areas had the highest prevalence or incidence of multimorbidity (pooled OR 1.42, 95% CI 1.41 to 1.42). Associations between deprivation and multimorbidity differed by age and multimorbidity type. Findings from the few studies investigating household tenure, household composition and area-level rurality were mixed and contradictory; homeownership and rurality were associated with increased and decreased multimorbidity, while living alone was found to be associated with a higher risk of multimorbidity and not associated.

CONCLUSION

Improving our understanding of broader social determinants of multimorbidity-particularly at the household level-could help inform strategies to tackle multimorbidity.

Prevalence of multimorbidity and associated factors in the Brazilian working population

INTRODUCTION

According to the World Health Organization (2018), recent changes in the epidemiological profile of working populations point to an increase in non-communicable chronic illnesses and a decrease in communicable chronic illnesses.

OBJECTIVES

To estimate the prevalence of multimorbidity in the Brazilian working population (≥18 years) and identify associated factors based on data from the 2013 national health survey (Pesquisa Nacional de Saúde).

METHODS

This was a cross sectional study based on data from the 2013 national health survey, which included n = 47,629 people aged 18 years or older. As part of the survey, participants were asked whether they had ever been diagnosed with any of several chronic diseases. The prevalence of multimorbidity in this population and its association with socioeconomic, lifestyle and occupational characteristics were examined. Bivariate analyses were used to calculate prevalence ratios and 95% confidence intervals. Multivariate analyses were conducted using Poisson regression and Wald's tests to estimate the coefficients of significant variables.

RESULTS

The prevalence of multimorbidity was 19.98% (95% confidence interval: 19.29%-20.70%). Higher rates of multimorbidity were associated with female gender, age 60 years or older, living with a spouse, past history of smoking, low education levels (illiterate/primary), living in urban areas, having medical or dental insurance and a history of work accidents.

CONCLUSIONS

The prevalence of multimorbidity in the Brazilian population is low. When present, multimorbidity is associated with specific occupational, socioeconomic and lifestyle characteristics.

Does socioeconomic inequality occur in the multimorbidity among Brazilian adults?

OBJECTIVE

To assess the prevalence of multimorbidity among Brazilian adults and its association with socioeconomic indicators.

METHODS

Cross-sectional study that used data from the Pesquisa Nacional Sobre Acesso, Utilização e Promoção do Uso Racional de Medicamentos no Brasil (PNAUM - Brazilian National Survey on Access, Use and Promotion of Rational Use of Medicines), carried out between 2013 and 2014. The definition of multimorbidity was the coexistence, in a single individual, of two or more chronic diseases, measured through a list of 14 morbidities (self-reported medical diagnosis throughout life). Economic status and educational level were the socioeconomic indicators used, being the inequalities assessed through the Slope Index of Inequality (SII) and the Concentration Index, stratified by gender.

RESULTS

The study comprehended 23,329 adults (52.8% of which were women), with an average age of 37.9 years. Hypertension and high cholesterol levels were the most prevalent conditions. The prevalence of multimorbidity was of 10.9% (95%CI 10.1-11.7) representing nearly 11 million individuals in Brazil, of which 14.5% (95%CI 13.5-15.4) were women and 6.8% (95%CI 5.9-7.8) were men. The occurrence of multimorbidity was similar according to the socioeconomic indicators. In the inequality analysis, we observed absolute and relative differences in men with a higher purchasing power (SII = 3.7; 95%CI 0.3-7.0) and higher educational level (CIX = 7.1; 95%CI 0.9-14.7), respectively.

CONCLUSIONS

The frequency of comorbidities in Brazilian adults is high, especially in absolute terms. We only observed socioeconomic inequalities in multimorbidities among men.

Multimorbidity among persons aged 25-64 years: a population-based study of social determinants and all-cause mortality

BACKGROUND

Despite increasing multimorbidity across the lifespan, little is known about the co-occurrence of conditions and risk factors among younger adults. This population-based study examines multimorbidity, social determinants and associated mortality among younger and middle-age adults.

METHOD

Analysis was based on the Northern Ireland population aged 25-64 years enumerated in the 2011 Census (n = 878 345), with all-cause mortality follow-up to 2014 (8659 deaths). Logistic regression was used to examine social determinants and Cox proportional hazards models in the analysis of associated mortality.

RESULTS

Prevalence of multimorbidity was 13.7% in females and 12.7% in males. There was a strong association between multimorbidity that included mental/cognitive illness and deprivation. Among those never married, multimorbid physical conditions were less likely [relative risk ratios (RRR) = 0.92: 95% confidence interval (CI) = 0.88, 0.95 for males; and RRR = 0.90: 0.87, 0.94 for females]. Rurality was associated with lower physical multimorbidity (RRR = 0.92: 0.89, 0.95) but higher mental/cognitive multimorbidity (RRR = 1.35: 1.12, 1.64) among females. All multimorbid categories were associated with elevated risk of mortality.

CONCLUSION

The health and economic challenges created by multimorbidity should be addressed further 'upstream'. Future multimorbidity research should include younger adults to inform the development of preventative interventions and align health and social care services more closely with patients' needs.

Neighborhood's locality, road types, and residents' multimorbidity: evidence from China's middle-aged and older adults

Background

Neighborhood factors have gained increasing attention, while the association between the neighborhood’s characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types.

Methods

The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively.

Results

First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95–1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78–0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63–0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55–0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51–0.89), digestive disease (OR = 0.82, 95% CI, 0.69–0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55–0.87), and asthma (OR = 0.67, 95% CI, 0.51–0.88).

Conclusions

Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.

Prevalence and Patterns of Multimorbidity Among Rural Elderly: Findings of the AHSETS Study

Introduction: In India, the proportion of older population is projected to increase from 8% in 2015 to 19% in 2050 and a third of the country's population will be older adults by end of the century. Multimorbidity is common among the elderly and the prevalence increases with age. Chronic conditions are most often present as clusters and it's critical to explore the prevalent pattern of clustering for better public health strategies. Method: A cross-sectional study was conducted among 725 rural older adults (>60 years) in Tigiria block of Odisha, India. Multimorbidity status was assessed using the prior validated MAQ-PC tool. Survey was conducted using android tablets installed with open data kit software. While Euclidean distances using K-means clustering algorithm were used to estimate the similarity or dissimilarity of observations. The optimum numbers of clusters were determined using silhouette method. Data were analyzed using multiple open source packages of R statistical programming software ver-3.6.3. Result: The overall prevalence of multimorbidity was 48.8% of which dyads (25%) were the most common form, followed by triads (15.2%). The prevalence of multimorbidity was higher in females (50.4%) than males (47.4%). The optimal number of clusters was found to be 3. While arthritis alone was a separate cluster, hypertension and acid peptic disease were in another cluster and all the rest conditions were included in the third cluster. Conclusion: The cluster analysis to measure of proximity suggested arthritis, hypertension, and acid peptic disease are the diseases that occur mostly in isolation with the other chronic conditions in the rural elderly.

Patients' and tutors' evaluations of medicine students' consultations in general practice/family medicine in Coimbra

BACKGROUND

Undergraduate teaching of General Practice/Family Medicine (GP/FM) must ensure students acquire the necessary competencies and skills to perform an adequate GP/FM consultation with adequate annotations (the SOAP model) and classifications. So aimed to study and to correlate students' evaluation by tutors and patients in specific consultations in the formal practical evaluation of GP/FM Curricular Unit of the Integrated Masters on Medicine at the Faculty of Medicine of the University of Coimbra (IMM-FMUC) in the academic years of 2017-2018 and 2018-2019.

METHODS

Observational study of the 2017-2018 and 2018-2019 academic years of the assessment grids for tutor's evaluation of SOAP performance and fluency in consultation and for patient's evaluation of the student 'performance, in the convenience sample of those who chose to be so evaluated.

RESULTS

We studied a population of 435 (67,7%) out of a universe of 646 students, 125 (28,7%) males, ns by sex and academic year who performed this evaluation. In a mark up to 20 from tutors, difference was found for Plan (P) mark, higher in 2018-2019 (18,38 ± 2,18vs18,54 ± 2,11, p = 0,005) of the SOAP methodology evaluation. Patients' evaluation was not different 19,34 ± 1,70vs19,35 ± 1,40, p = 0,091. A positive significant correlation was found between tutors and patients marks (ρ = 0,278; p < 0,001), as well as between tutor mark and final mark (ρ = 0,958; p < 0,001) and patient and final marks (ρ = 0,465; p < 0,001). Final marks were not different in both years, 18,61 ± 1,38vs18,78 ± 1,15, p = 0,158.

CONCLUSIONS

This innovative model of evaluation of student's performance in medical appointment, showed a significant positive moderate correlation between patients' and tutors' marks in the setting of GP/FM at the IMM-FMUC, and was not different between years. Yearly evaluation must be continued.

Difficulties that patients with chronic diseases face in the primary care setting in Singapore: a cross-sectional study

INTRODUCTION

Patients with chronic diseases face difficulties when navigating the healthcare system. Using the Healthcare System Hassles Questionnaire (HSHQ) developed by Parchman et al, this study aimed to explore the degree of hassles faced by primary care patients in Singapore and identify the characteristics associated with higher hassles.

METHODS

A cross-sectional study was conducted among patients with chronic disease at Hougang Polyclinic, Singapore, using interviewer-administered HSHQ. Mean HSHQ score was compared with Parchman et al's study. The associations between number of chronic diseases, demographic variables and healthcare hassles were assessed using multivariate linear logistic regression analysis.

RESULTS

217 outpatients aged 21 years and above were enrolled. Our overall mean HSHQ score (4.77 ± 6.18) was significantly lower than that in Parchman et al's study (15.94 ± 14.23, p < 0.001). Participants with five or more chronic diseases scored 3.38 (95% confidence interval [CI] 0.11-6.65, p = 0.043) points higher than those with one chronic disease. With each increasing year of age, mean HSHQ score decreased by 0.17 (95% CI -0.26 to -0.08, p = 0.001) points. Those with polytechnic/diploma/university education and higher scored 2.65 (95% CI 0.19-5.11, p = 0.035) points higher than those with primary education and lower.

CONCLUSION

Patients in our population reported lower hassles than those in Parchman et al's study. Increasing age and lower education level were associated with lower hassles. Further analysis of the types of chronic diseases may yield new information about the association of healthcare hassles with the number and types of chronic diseases.

Prevalence of acute and chronic wounds - with emphasis on pressure ulcers - in integrated continuing care units in Alentejo, Portugal

The aim of the study was to describe the prevalence and general characteristics of acute and chronic wounds in 2018 in Alentejo (Portugal) continuing care units. In order to look at associations, wound characteristics studied were location, type, place of acquisition, number, and duration, and patient characteristics were sex, age, and presence of risk factors. During the first 2 weeks of February 2018, a total of 770 patients were assessed at continuing care units of Alentejo. Of these, 135 exhibited wounds, a prevalence of 17.5%. Almost two out of three patients (63%) had arterial hypertension, slightly more than one in three (37%) had a stroke and/or immobility and 30% had diabetes. Of the total wounds identified, 18% were acute wounds and 82% were chronic wounds. Of the 24 acute wounds, traumatic wounds (76%), and surgical wounds (22%) were the most prevalent. The four types of pressure ulcers represented 80% of the chronic wounds. The median duration of the pressure ulcers was 5.5 months and 25% had duration over 10 months.

Patterns of Multimorbidity in Adults: An Association Rules Analysis Using the Korea Health Panel

This study aimed to identify the prevalence and patterns of multimorbidity among Korean adults. A descriptive study design was used. Of 11,232 adults aged 18 and older extracted from the 2014 Korean Health Panel Survey, 7118 had one or more chronic conditions. The chronic conditions code uses the Korean Standard Classification of Diseases. Association rule analysis and network analysis were conducted to identify patterns of multimorbidity among 4922 participants with multimorbidity. The prevalence of multimorbidity in the overall population was 34.8%, with a higher prevalence among women (40.8%) than men (28.6%). Hypertension had the highest prevalence in both men and women. In men, diabetes mellitus and hypertension yielded the highest probability of comorbidity (10.04%). In women, polyarthrosis and hypertension yielded the highest probability of comorbidity (12.51%). The results of the network analysis in four groups divided according to gender and age showed different characteristics for each group. Public health practitioners should adopt an integrated approach to manage multimorbidity rather than an individual disease-specific approach, along with different strategies according to age and gender groups.

Healthcare use in patients with multimorbidity

BACKGROUND

The existence of multiple chronic conditions in the same patient is a public health problem increasingly recognized as relevant to health systems. Individuals with multimorbidity have additional health needs, which imply a heavy burden in healthcare use. It is estimated that between 70% and 80% of the total health expenditure is used with chronic conditions. Patients with multimorbidity are responsible for up to 75% of primary care appointments. These patients are also high hospital users, with up to 14.6 times more risk of hospitalization.

METHODS

This study analyses the association between healthcare use and multimorbidity in the Portuguese population aged 25-74 years old. The association between socioeconomic variables and healthcare use was studied, based on data from the first Portuguese Health Examination Survey using a logistic regression model, stratified by sex and adjusted for socioeconomic confounding variables.

RESULTS

In patients with multimorbidity, there was a greater use of primary healthcare consultations, medical or surgical specialist consultations and hospitalizations. An association was established between female, older age groups and lower educational levels, and increased healthcare use. When adjusted to socioeconomic variables, the likelihood of using healthcare services can be as high as 3.5 times, when compared to patients without chronic conditions.

CONCLUSION

Our results show a greater healthcare use in multimorbidity patients, both in primary and hospital care. The availability of scientific evidence regarding the use of healthcare services by multimorbidity patients may support health policy changes, which could allow a more efficient management of these patients.

Urban-rural and socioeconomic status: Impact on multimorbidity prevalence in hospitalized patients

OBJECTIVE

The aim of this study was to describe multimorbidity prevalence in hospitalized adults, by urban-rural area of residence and socioeconomic status (SES).

METHODS

Linked hospital episode data were used. Adults (≥18 years) admitted to hospital as an inpatient during 2014 in Grampian, Scotland, were included. Conditions were identified from admissions during the 5 years prior to the first admission in 2014. Multimorbidity was defined as ≥2 conditions and measured using Tonelli et al. based on International Classification of Diseases-10 coding (preselected list of 30 conditions). We used proportions and 95% confidence intervals (CIs) to summarize the prevalence of multimorbidity by age group, sex, urban-rural category and deprivation. The association between multimorbidity and patient characteristics was assessed using the χ 2 test.

RESULTS

Forty one thousand five hundred and forty-five patients were included (median age 62, 52.6% female). Overall, 27.4% (95% CI 27.0, 27.8) of patients were multimorbid. Multimorbidity prevalence was 28.8% (95% CI 28.1, 29.5) in large urban versus 22.0% (95% CI 20.9, 23.3) in remote rural areas and 28.7% (95% CI 27.2, 30.3) in the most deprived versus 26.0% (95% CI 25.2, 26.9) in the least deprived areas. This effect was consistent in all age groups, but not statistically significant in the age group 18-29 years. Multimorbidity increased with age but was similar for males and females.

CONCLUSION

Given the scarcity of research into the effect of urban-rural area and SES on multimorbidity prevalence among hospitalized patients, these findings should inform future research into new models of care, including the consideration of urban-rural area and SES.

Prevalence of multimorbidity among Bangladeshi adult population: a nationwide cross-sectional study

OBJECTIVE

This study aimed to report prevalence and evaluate the association between multimorbidity and associated risk factors in the adult population of Bangladesh.

DESIGN

A cross-sectional study was conducted using a multistage clustered random sampling strategy.

SETTING

The study was conducted among the general population of 58 districts in Bangladesh.

PARTICIPANTS

A total of 12 338 male and female individuals aged ≥35 were included for analysis in this study. Identified through a household listing conducted prior to the study, from 15 297 individuals meeting the inclusion criteria, 12 338 participants were included based on availability during data collection, consent and health condition.

OUTCOME MEASURES

Multimorbidity in terms of hypertension, diabetes, cancer, cardiovascular diseases, stroke and chronic obstructive pulmonary disease.

RESULTS

Approximately 8.4% (95% CI 7.0 to 9.7) of individuals suffer from multimorbidity, of which hypertension accounted for (30.1%) followed by diabetes (10.6%). The mean age of the population was 58.6 (SD ±9.2) years. The prevalence of multimorbidity was lower among men (7.7%) compared with women (8.9%). The likelihood of having multimorbidity among obese individuals were more than double than people with normal body mass index (BMI). Physical activity protected individuals from developing multimorbidity: however, the physical activity adjusted OR was 0.5 (95% CI 0.2 to 1.2). After adjusting for all covariates, higher age, higher educational status, economic status, and higher BMI were found to be significantly associated with the odds of developing multimorbidity, with an overall adjusted OR of 0.02 (95% CI 0.01 to 0.02).

CONCLUSION

This study reported a high prevalence of multimorbidity in Bangladesh, although it explored the burden and identified risk factors considering only six chronic diseases. Further detailed exploration through longitudinal studies considering a wider range of diseases is needed to document the actual burden, develop effective preventive measures and clinical guidelines to improve the quality of life of the population.

Multimorbidity and complex multimorbidity in Brazilian rural workers

OBJECTIVE

To estimate the prevalence of multimorbidity and complex multimorbidity in rural workers and their association with sociodemographic characteristics, occupational contact with pesticides, lifestyle and clinical condition.

METHODS

This is a cross-sectional epidemiological study with 806 farmers from the main agricultural municipality of the state of Espírito Santo/Brazil, conducted from December 2016 to April 2017. Multimorbidity was defined as the presence of two or more chronic diseases in the same individual, while complex multimorbidity was classified as the occurrence of three or more chronic conditions affecting three or more body systems. Socio-demographic data, occupational contact with pesticides, lifestyle data and clinical condition data were collected through a structured questionnaire. Binary logistic regression was conducted to identify risk factors for multimorbidity.

RESULTS

The prevalence of multimorbidity among farmers was 41.5% (n = 328), and complex multimorbidity was 16.7% (n = 132). More than 77% of farmers had at least one chronic illness. Hypertension, dyslipidemia and depression were the most prevalent morbidities. Being 40 years or older (OR 3.33, 95% CI 2.06-5.39), previous medical diagnosis of pesticide poisoning (OR 1.89, 95% CI 1.03-3.44), high waist circumference (OR 2.82, CI 95% 1.98-4.02) and worse health self-assessment (OR 2.10, 95% CI 1.52-2.91) significantly increased the chances of multimorbidity. The same associations were found for the diagnosis of complex multimorbidity.

CONCLUSION

We identified a high prevalence of multimorbidity and complex multimorbidity among the evaluated farmers. These results were associated with increased age, abdominal fat, pesticide poisoning, and poor or fair health self-assessment. Public policies are necessary to prevent, control and treat this condition in this population.

Reducing Potentially Inappropriate Prescriptions for Older Patients Using Computerized Decision Support Tools: Systematic Review

Background

Older adults are more vulnerable to polypharmacy and prescriptions of potentially inappropriate medications. There are several ways to address polypharmacy to prevent its occurrence. We focused on computerized decision support tools.

Objective

The available literature was reviewed to understand whether computerized decision support tools reduce potentially inappropriate prescriptions or potentially inappropriate medications in older adult patients and affect health outcomes.

Methods

Our systematic review was conducted by searching the literature in the MEDLINE, CENTRAL, EMBASE, and Web of Science databases for interventional studies published through February 2018 to assess the impact of computerized decision support tools on potentially inappropriate medications and potentially inappropriate prescriptions in people aged 65 years and older.

Results

A total of 3756 articles were identified, and 16 were included. More than half (n=10) of the studies were randomized controlled trials, one was a crossover study, and five were pre-post intervention studies. A total of 266,562 participants were included; of those, 233,144 participants were included and assessed in randomized controlled trials. Intervention designs had several different features. Computerized decision support tools consistently reduced the number of potentially inappropriate prescriptions started and mean number of potentially inappropriate prescriptions per patient. Computerized decision support tools also increased potentially inappropriate prescriptions discontinuation and drug appropriateness. However, in several studies, statistical significance was not achieved. A meta-analysis was not possible due to the significant heterogeneity among the systems used and the definitions of outcomes.

Conclusions

Computerized decision support tools may reduce potentially inappropriate prescriptions and potentially inappropriate medications. More randomized controlled trials assessing the impact of computerized decision support tools that could be used both in primary and secondary health care are needed to evaluate the use of medication targets defined by the Beers or STOPP (Screening Tool of Older People’s Prescriptions) criteria, adverse drug reactions, quality of life measurements, patient satisfaction, and professional satisfaction with a reasonable follow-up, which could clarify the clinical usefulness of these tools.

Trial Registration

International Prospective Register of Systematic Reviews (PROSPERO) CRD42017067021; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42017067021

Do replicable profiles of multimorbidity exist? Systematic review and synthesis

This systematic review aimed to synthesise multimorbidity profiling literature to identify replicable and clinically meaningful groupings of multimorbidity. We searched six electronic databases (Medline, EMBASE, PsycINFO, CINAHL, Scopus, and Web of Science) for articles reporting multimorbidity profiles. The identified profiles were synthesised with multidimensional scaling, stratified by type of statistical analysis used in the derivation of profiles. The 51 studies that met inclusion criteria reported results of 98 separate analyses of multimorbidity profiling, with a total of 407 multimorbidity profiles identified. The statistical techniques used to identify multimorbidity profiles were exploratory factor analysis, cluster analysis of diseases, cluster analysis of people, and latent class analysis. Reporting of methodological details of statistical methods was often incomplete. The discernible groupings of multimorbidity took the form of both discrete categories and continuous dimensions. Mental health conditions and cardio-metabolic conditions grouped along identifiable continua in the synthesised results of all four methods. Discrete groupings of chronic obstructive pulmonary disease with asthma, falls and fractures with sensory deficits and of Parkinson's disease and cognitive decline where partially replicable (identifiable in the results of more than one method), while clustering of musculoskeletal conditions and clustering of reproductive systems were each observed only in one statistical approach. The two most replicable multimorbidity profiles were mental health conditions and cardio-metabolic conditions. Further studies are needed to understand aetiology and evolution of these multimorbidity groupings. Guidelines for strengthening the reporting of multimorbidity profiling studies are proposed.

Health profile and medication adherence of diabetic patients in the Portuguese population

AIMS

To understand the psychological and behavioural impact of type 2 diabetes in the Portuguese Primary Care setting.

METHODS

Observational, cross-sectional study of a convenience sample of portuguese people diagnosed with type 2 diabetes mellitus. The Diabetes Health Profile (DHP-18) and the Four Item Morisky Medication Adherence Scale (MMAS-4) were applied, as well as socio-demographic and disease-related questions.

RESULTS

In a n=110 patient sample, lower education level showed a negative impact on the Psychological Distress dimension (p=0,013). In the Barriers to activity dimension, significant differences were found between different age groups (p=0,033) - a better health profile was observed in the 40-59 years group and also between gender (p=0,039) - greater impact in female subjects. Disinhibited Eating dimension wasn't associated with any of the studied variables. However, all the groups showed worse results in this domain. No associations were found between DHP and medication adherence. Worse medication adherence is more common when there is a prevailing notion of lack of control of diabetes.

DISCUSSION AND CONCLUSION

Using DHP, a larger negative impact related to type 2 diabetes mellitus is found in those with lower educational level, female and younger (20-39 years) or older (60-79 years) subjects. Broader information strategies aimed at improving the quality of life of diabetic patients is necessary, particularly those related to nutrition.