Frailty among inpatients with Schizophrenia: Status, influencing factors, and their correlation with quality of life

Yang, Cui; Hou, Xiaojuan; Ma, Xiucheng; Wu, Dongmei

doi:10.3389/fpsyt.2022.1067260

Cited by 11 publications

(4 citation statements)

References 57 publications

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“…Notably, several studies have indicated a high prevalence of frailty among individuals diagnosed with schizophrenia, including those in younger age groups (39,40). Recent studies also have demonstrated strikingly similar patterns of gene activity in aging and schizophrenic patients, particularly in neurons and astrocytes in the prefrontal cortex (41).…”

Section: Discussionmentioning

confidence: 99%

“…Studies have demonstrated that pre-existing frailty in older adults was correlated with increased likelihood of enduring and abrupt MI during the initial wave of the COVID-19 pandemic, and this association persisted ( 37 , 38 ). Notably, several studies have indicated a high prevalence of frailty among individuals diagnosed with schizophrenia, including those in younger age groups ( 39 , 40 ). Recent studies also have demonstrated strikingly similar patterns of gene activity in aging and schizophrenic patients, particularly in neurons and astrocytes in the prefrontal cortex ( 41 ).…”

Section: Discussionmentioning

confidence: 99%

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Bidirectional causal relational between frailty and mental illness: a two-sample Mendelian randomization study

Ma,

Liu,

et al. 2024

Front. Psychiatry

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BackgroundFrailty has been associated with mental illness (MI) observational studies, but the causal relationship between these factors remains uncertain. We aimed to assess the bidirectional causality between frailty and MI by two-sample Mendelian randomization (MR) analyses.MethodsTo investigate the causal relationship among them, summary statistics of frailty index (FI) and six types of MI: anxiety, depression, affective disorder, mania, schizophrenia, and obsessive-compulsive disorder (OCD) were included in this MR study. This MR analysis was performed using inverse variance weighting (IVW), MR-Egger regression, and weighted median. The stability of the results was evaluated using Cochran’s Q test, MR-Egger intercept test, Funnel Plots, and leave-one-out analysis.ResultsGenetic predisposition to FI was significantly associated with increased anxiety (odds ratio [OR] = 1.62, 95% confidence interval [CI] 1.13-2.33, P = 8.18E-03), depression (OR = 1.88, 95% CI 1.30-2.71, P = 8.21E-04), affective disorder (OR = 1.70, 95% CI 1.28-2.27, P = 2.57E-04). However, our study findings do not demonstrate a causal relationship between FI and mania (OR = 1.02, 95% CI 0.99-1.06, P = 2.20E-01), schizophrenia (OR = 1.02, 95% CI 0.07-0.86, P = 9.28E-01). In particular, although the IVW results suggest a potential causal relationship between FI and OCD (OR = 0.64, 95% CI 0.07-0.86, P = 2.85E-02), the directions obtained from the three methods we employed ultimately show inconsistency. Therefore, the result must be interpreted with caution. The results of the reverse MR analysis indicated a statistically significant and causal relationship between anxiety (OR = 1.06, 95% CI 1.01-1.11, P = 2.00E-02), depression (OR = 1.14, 95% CI 1.04-1.26, P = 7.99E-03), affective disorder (OR = 1.15, 95% CI 1.09-1.21, P = 3.39E-07), and schizophrenia (OR = 1.02, 95% CI 1.01-1.04, P = 1.70E-03) with FI. However, our findings do not provide support for a link between mania (OR = 1.46, 95% CI 0.79-2.72, P = 2.27E-01), OCD (OR = 1.01, 95% CI 1.00-1.02, P = 2.11E-01) and an increased risk of FI.ConclusionThe MR results suggest a potential bidirectional causal relationship between FI and anxiety, depression, and affective disorder. Schizophrenia was found to be associated with a higher risk of FI. The evidence was insufficient to support a causal relationship between Fl and other Ml. These findings offer new insights into the development of effective management strategies for frailty and MI.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Bidirectional causal relational between frailty and mental illness: a two-sample Mendelian randomization study

Ma,

Liu,

et al. 2024

Front. Psychiatry

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“…Structural abnormalities of the cortex are associated with several diseases and conditions 16 – 19 . Neuropsychiatric diseases cause structural changes in the brain; schizophrenia and Parkinson’s disease are associated with frailty 20 , 21 . There have been scattered reports that exercise can improve cortical thinning in patients with schizophrenia 22 and that cortical thickness can predict motor responsiveness in patients with Parkinson's 23 .…”

Section: Discussionmentioning

confidence: 99%

Correlation between frailty and reduction in cortical thickness in patients with chronic obstructive pulmonary disease

Fukatsu-Chikumoto,

Hirano,

Takahashi

et al. 2024

Sci Rep

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Physical inactivity and cognitive impairment in patients with chronic obstructive pulmonary disease (COPD) can lead to frailty and poor prognoses. However, little is known regarding the association between frailty and the human brain. We hypothesized that the brain structure could change according to frailty in patients with COPD and focused on cortical thickness. Cortical thickness measured by magnetic resonance imaging and frailty scores using the Kihon Checklist (KCL) were assessed in 40 patients with stable COPD and 20 healthy controls. Among the 34 regions assessed, multiple regions were thinner in patients with COPD than in healthy individuals (p < 0.05). We found significant negative correlations between the eight regions and the KCL scores only in patients with COPD. After adjusting for age and cognitive impairment, the association between the left and six right regions remained statistically significant. The correlation coefficient was the strongest in the bilateral superior frontal gyrus (left: ρ = − 0.5319, p = 0.0006) (right: ρ = − 0.5361, p = 0.0005). Interestingly, among the KCL scores, the daily activity domain showed the strongest correlation (sensitivity, 90%; specificity, 73%) with the bottom quartile of the reduction in the superior frontal gyrus. Frailty in patients with COPD is associated with a thickness reduction in the cortical regions, reflecting social vulnerability.

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“…Addressing factors that contribute to frailty, with a comprehensive and multidimensional approach that considers not only the control of the symptoms but also the physical, psychological, social, and functional factors, is a necessary intervention aimed at achieving full recovery. Further research is needed to explore the biological, psychological, and sociocultural mechanisms underlying the relationship between SMI and frailty, to analyze and prevent the clinical implications of frailty across different psychiatric disorders, including schizophrenia [404], bipolar disorder, and major depressive disorder, and to develop personalized and appropriate interventions to improve quality of life and delay the onset of frailty for this vulnerable population [405].…”

Section: Frailty and Deliriummentioning

confidence: 99%

To Be Frail or Not to Be Frail: This Is the Question—A Critical Narrative Review of Frailty

Sciacchitano,

Carola,

Nicolais

et al. 2024

JCM

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Many factors have contributed to rendering frailty an emerging, relevant, and very popular concept. First, many pandemics that have affected humanity in history, including COVID-19, most recently, have had more severe effects on frail people compared to non-frail ones. Second, the increase in human life expectancy observed in many developed countries, including Italy has led to a rise in the percentage of the older population that is more likely to be frail, which is why frailty is much a more common concern among geriatricians compared to other the various health-care professionals. Third, the stratification of people according to the occurrence and the degree of frailty allows healthcare decision makers to adequately plan for the allocation of available human professional and economic resources. Since frailty is considered to be fully preventable, there are relevant consequences in terms of potential benefits both in terms of the clinical outcome and healthcare costs. Frailty is becoming a popular, pervasive, and almost omnipresent concept in many different contexts, including clinical medicine, physical health, lifestyle behavior, mental health, health policy, and socio-economic planning sciences. The emergence of the new “science of frailty” has been recently acknowledged. However, there is still debate on the exact definition of frailty, the pathogenic mechanisms involved, the most appropriate method to assess frailty, and consequently, who should be considered frail. This narrative review aims to analyze frailty from many different aspects and points of view, with a special focus on the proposed pathogenic mechanisms, the various factors that have been considered in the assessment of frailty, and the emerging role of biomarkers in the early recognition of frailty, particularly on the role of mitochondria. According to the extensive literature on this topic, it is clear that frailty is a very complex syndrome, involving many different domains and affecting multiple physiological systems. Therefore, its management should be directed towards a comprehensive and multifaceted holistic approach and a personalized intervention strategy to slow down its progression or even to completely reverse the course of this condition.

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Frailty among inpatients with Schizophrenia: Status, influencing factors, and their correlation with quality of life

Cited by 11 publications

References 57 publications

Bidirectional causal relational between frailty and mental illness: a two-sample Mendelian randomization study

Bidirectional causal relational between frailty and mental illness: a two-sample Mendelian randomization study

Correlation between frailty and reduction in cortical thickness in patients with chronic obstructive pulmonary disease

To Be Frail or Not to Be Frail: This Is the Question—A Critical Narrative Review of Frailty

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