Bridging the mental–physical divide in health care

Sinyor, Mark; Goldstein, Benjamin I.; Schaffer, Ayal

doi:10.1503/cmaj.190709

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…The concept was created to substitute the idea of co-morbidity, emphasizing the importance of addressing all patients' health conditions 10 . A consequence of this shift towards the concept of multimorbidity is that the pattern in which these conditions appear is now fundamental to tailor the treatment to the patient's needs and to better match the health professional's skills with the patient's diseases 11 , 12 . Nevertheless, multimorbidity can be prevented by targeting and managing factors associated with multimorbidity in health interventions.…”

Section: Introductionmentioning

confidence: 99%

Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity

Griselda,

Alfian,

Wicaksono

et al. 2023

Sci Rep

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The prevalence of multimorbidity tends to increase with age, but it is now also reported in the middle-aged population, which has a negative impact on healthcare systems and health outcomes. This study aims to analyze the patterns and factors associated with multimorbidity in Indonesia. This national cross-sectional population-based survey used publicly available data from the Indonesian Family Life Survey (IFLS-5) for 2014 among middle-aged (40–59 years old) and elderly (≥ 60 years old) respondents. Information on all chronic diseases was assessed using a self-reported questionnaire. Sociodemographic and health-related behavioral factors were obtained from self-reported data. Binary logistic regression analysis was used to identify the factors associated with multimorbidity. Adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were reported. The study recruited 11,867 respondents. The prevalence of multimorbidity was 18.6% (95% CI 17.9–19.3) with which 15.6% among middle age (95% CI 14.95–16.25) and 24.9% among the elderly (95% CI 24.12–25.68). Hypertension was the most commonly reported disease (23.2%) in all combinations of multimorbidity and among all age groups. Socio-demographic factors: elderly (AOR: 1.66; 95% CI 1.46–1.89), female (AOR: 1.42; 95% CI 1.20–1.69), living in the urban area (AOR: 1.22; 95% CI 1.09–1.38), higher educational level (AOR: 2.49; 95% CI 1.91–3.26), unemployed (AOR: 1.63; 95% CI 1.44–1.84), and higher economic level (AOR: 1.41; 95% CI 1.18–1.68) were associated with multimorbidity. Poor health behavior factors: being former smokers (AOR: 2.03; 95% CI 1.65–2.51) and obesity (AOR: 1.53; 95% CI 1.35–1.75) were also associated with multimorbidity. The prevalence of multimorbidity in the middle-aged and elderly population in Indonesia is relatively high, particularly in populations with poor health behaviors. Therefore, healthcare professionals should integrate more patient-specific factors when designing and implementing tailored interventions to manage multimorbidity in Indonesia.

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Section: Introductionmentioning

confidence: 99%

Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity

Griselda,

Alfian,

Wicaksono

et al. 2023

Sci Rep

View full text Add to dashboard Cite

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“…This shift toward the MM concept has implications in several areas. It requires that specialists interact and communicate efficiently with staff from other background training (Sinyor et al, 2019). This type of more integrative care is costly (Valderas et al, 2009), may require reorganizing mental health and general practices (Sinyor et al, 2019) to a more holistic care (arguably simplified in places where a universal health system exists, such as in UK), and impacts research itself, as traditional association statistical methods are better suited for comparisons between two variables.…”

Section: Introductionmentioning

confidence: 99%

Patterns of multimorbidity and some psychiatric disorders: A systematic review of the literature

Castro-de-Araujo

Cortés²,

Filha

et al. 2022

Front. Psychol.

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Objective: The presence of two or more chronic diseases results in worse clinical outcomes than expected by a simple combination of diseases. This synergistic e ect is expected to be higher when combined with some conditions, depending on the number and severity of diseases. Multimorbidity is a relatively new term, with the first fundamental definitions appearing in . Studies usually define it as the presence of at least two chronic medical illnesses. However, little is known regarding the relationship between mental disorders and other non-psychiatric chronic diseases. This review aims at investigating the association between some mental disorders and non-psychiatric diseases, and their pattern of association.Methods: We performed a systematic approach to selecting papers that studied relationships between chronic conditions that included one mental disorder from to . These were processed using Covidence, including quality assessment.Results: This resulted in the inclusion of papers in this study. It was found that there are strong associations between depression, psychosis, and multimorbidity, but recent studies that evaluated patterns of association of diseases (usually using clustering methods) had heterogeneous results. Quality assessment of the papers generally revealed low quality among the included studies.Conclusions: There is evidence of an association between depressive disorders, anxiety disorders, and psychosis with multimorbidity. Studies that tried to examine the patterns of association between diseases did not find stable results.Systematic review registration: https://www.crd.york.ac.uk/prospero/display _record.php?ID=CRD , identifier: CRD .

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Why religion and spirituality are important in human biological research

Lynn,

Schell

2024

American J Hum Biol

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The study of human biology includes exploration of all the genetic and environmental influences on human variation and life history, including impacts of sociocultural and physical environments. Religious practice and spirituality may be one of these influences. There are more than 5.8 billion religiously affiliated adults and children, accounting for 84% of the world's 6.9 billion people. Furthermore, 70% of Americans consider themselves spiritual in some way, including 22% who do not consider themselves religious, and the numbers for Europe are lower but proportionally similar. Such a high rate of religious affiliation and spiritual belief suggests that religion and spirituality could be sociocultural influences on human variation, but human biologists have scarcely attended to their impacts, as indicated by the limited numbers of relevant articles in the two flagship human biology journals. In this article, we discuss why human biologists may have overlooked this important force for human variability and highlight foundational work from human biology and other disciplines that can give our colleagues directions forward. We review the impacts of religion and spirituality at population and individual levels and call for human biologists to attend to the many aspects of religion and spirituality that can impact human biology and are much more than simply influences of denominational affiliation.

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Bridging the mental–physical divide in health care

Cited by 5 publications

References 7 publications

Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity

Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity

Patterns of multimorbidity and some psychiatric disorders: A systematic review of the literature

Why religion and spirituality are important in human biological research

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