Mental Health Assessment Method Based on Emotion Level Derived from Voice

In many developed countries, mental health disorders have become problematic, and the economic loss due to treatment costs and interference with work is immeasurable. Therefore, we developed a method to assess individuals’ mental health using emotional components contained in their voice. We propose two indices of mental health: vitality, a short-term index, and mental activity, a long-term index capturing the trends in vitality. To evaluate our method, we used the voices of healthy individuals (n = 14) and patients with major depression (n = 30). The patients were also assessed by specialists using the Hamilton Rating Scale for Depression (HAM-D). A significant negative correlation existed between the vitality extracted from the voices and HAM-D scores (r = -0.33, p &lt; .05). We could discriminate the voice data of healthy individuals and patients having depression with a high accuracy using the vitality (p = .0085, area under the curve = 0.76). Further, we developed a method to estimate stress through emotion instead of analyzing stress directly from voice data. By daily monitoring of vitality using smartphones, we can encourage hospital visits for people before they become depressed or during the early stages of depression, to prevent adverse consequences of depression.

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A mental health assessment method based on emotion level derived from voice

10.21203/rs.2.18354/v1 ◽

2019 ◽

Author(s):

Shuji Shinohara ◽

Mitsuteru Nakamura ◽

Yasuhiro Omiya ◽

Naoki Hagiwara ◽

Shunji Mitsuyoshi ◽

...

Keyword(s):

Mental Health ◽

Rating Scale ◽

Characteristic Curve ◽

Economic Loss ◽

Developed Countries ◽

Assessment Method ◽

Treatment Costs ◽

Healthy Individuals ◽

Significant Difference ◽

Voice Data

Abstract Background: In many developed countries, mental health disorders have become a problem, and the economic loss due to treatment costs and interference with work is immeasurable. Therefore, a simple technique must be developed to determine individuals’ depressive state and stress levels. Voice analysis using smartphones is not only noninvasive, it does not require a dedicated device; thus, it can be performed conveniently and remotely. Consequently, we developed a method to assess individuals’ mental health levels using emotional components contained in the human voice. Methods: We proposed two indices of mental health: a short-term index (vitality) and mental activity calculated from long-term trends in vitality. We used the voices of healthy individuals (men: n = 10, Mage = 42.7 ± 6.0 years; women: n = 4, Mage = 35.0 ± 14.4 years) and patients with major depression (men: n = 19, Mage = 43.7 ± 11.0 years; women: n = 11, Mage = 53.9 ± 8.2 years). For patients, simultaneously with voice collection, specialists assessed current depression severity using the Hamilton Rating Scale for Depression (HAM-D). Results: A significant negative correlation existed between the vitality extracted from voice and HAM-D score (r = -0.33, p < .05). We could discriminate the voice data of healthy individuals and patients with depression (judged as moderate or severe by the specialists) with high accuracy using vitality (p = .0085, the area under the curve (AUC) of the receiver operating characteristic curve = 0.87). However, there was no significant difference between the vitality of the healthy individuals and the patients judged to be the “no depression group with almost no depressive symptoms,” even if they were outpatients with depression (p > .1, AUC = 0.64). Conclusions: We developed a method to estimate stress through emotion instead of analyzing stress directly from voice data. By daily monitoring of vitality using smartphones, we can encourage hospital visits for people before they become depressed or during the early stages of depression. This may lead to reduced economic loss due to treatment costs and interference with work.

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Depressive Mood Assessment Method Based on Emotion Level Derived from Voice: Comparison of Voice Features of Individuals with Major Depressive Disorders and Healthy Controls

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18105435 ◽

2021 ◽

Vol 18 (10) ◽

pp. 5435

Author(s):

Shuji Shinohara ◽

Mitsuteru Nakamura ◽

Yasuhiro Omiya ◽

Masakazu Higuchi ◽

Naoki Hagiwara ◽

...

Keyword(s):

Depressive Disorders ◽

Rating Scale ◽

Characteristic Curve ◽

Area Under The Curve ◽

Significant Negative Correlation ◽

Developed Countries ◽

Assessment Method ◽

Healthy Individuals ◽

Major Depressive ◽

Major Depressive Disorders

Background: In many developed countries, mood disorders have become problematic, and the economic loss due to treatment costs and interference with work is immeasurable. Therefore, a simple technique to determine individuals’ depressive state and stress level is desired. Methods: We developed a method to assess specific the psychological issues of individuals with major depressive disorders using emotional components contained in their voice. We propose two indices: vitality, a short-term index, and mental activity, a long-term index capturing trends in vitality. To evaluate our method, we used the voices of healthy individuals (n = 14) and patients with major depression (n = 30). The patients were also assessed by specialists using the Hamilton Rating Scale for Depression (HAM-D). Results: A significant negative correlation existed between the vitality extracted from the voices and HAM-D scores (r = −0.33, p < 0.05). Furthermore, we could discriminate the voice data of healthy individuals and patients with depression with a high accuracy using the vitality indicator (p = 0.0085, area under the curve of the receiver operating characteristic curve = 0.76).

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The Cortisol Awakening Response in Patients with Poststroke Depression Is Blunted and Negatively Correlated with Depressive Mood

BioMed Research International ◽

10.1155/2015/709230 ◽

2015 ◽

Vol 2015 ◽

pp. 1-6 ◽

Cited By ~ 4

Author(s):

Oh Jeong Kwon ◽

Munsoo Kim ◽

Ho Sub Lee ◽

Kang-keyng Sung ◽

Sangkwan Lee

Keyword(s):

Rating Scale ◽

Area Under The Curve ◽

Significant Negative Correlation ◽

Depressive Mood ◽

Cortisol Awakening Response ◽

Poststroke Depression ◽

Stroke Outcomes ◽

Underlying Mechanisms ◽

Pituitary Adrenal Axis

It is important to reduce poststroke depression (PSD) to improve the stroke outcomes and quality of life in stroke patients, but the underlying mechanisms of PSD are not completely understood. As many studies implicate dysregulation of hypothalamic-pituitary-adrenal axis in the etiology of major depression and stroke, we compared the cortisol awakening response (CAR) of 28 admitted PSD patients with that of 23 age-matched caregiver controls. Saliva samples for cortisol measurement were collected immediately, 15, 30, and 45 min after awakening for two consecutive days. Depressive mood status in PSD patients was determined with Beck Depression Inventory and Hamilton Depression Rating Scale. Salivary cortisol levels of PSD patients did not rise significantly at any sampling time, showing a somewhat flat curve. Caregiver controls showed significantly higher CAR at 15 and 30 min after awakening compared to PSD patients even though the two groups did not differ at awakening or 45 min after awakening. Area-under-the-curve analysis revealed a significant negative correlation between the CAR and the degree of depression in PSD patients. Thus, our findings suggest that poststroke depression is closely related with dysfunctional HPA axis indicated by blunted CAR.

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Depression and anxiety among hyperthyroid female patients and impact of treatment

Middle East Current Psychiatry ◽

10.1186/s43045-021-00107-7 ◽

2021 ◽

Vol 28 (1) ◽

Author(s):

Sheikh Shoib ◽

Javid Ahmad ◽

Manzoor Ahmed Wani ◽

Irfan Ullah ◽

Shah Faisal Ahmad Tarfarosh ◽

...

Keyword(s):

Mental Health ◽

Psychiatric Disorders ◽

Rating Scale ◽

Psychiatric Symptoms ◽

Health Assessment ◽

Panic Attacks ◽

Mental Health Assessment ◽

Significant Difference ◽

Hamilton Anxiety Rating Scale ◽

Study Participants

Abstract Background The aim of the present study was to compare the presence of psychiatric disorders in people with hyperthyroidism and euthyroid patients attending the Endocrinology Outpatient Department at the Shri Maharaja Hari Singh Hospital in Kashmir, India. Seventy-five patients with hyperthyroidism and an equal number of euthyroid patients participated in the study. Participants were selected using stratified random sampling. All patients were female. There was no significant difference between the two groups in terms of demographic features. Hormonal screening was performed by immunoassay and haemagglutination method. For the mental health assessment, the Mini-International Neuropsychiatric Interview (MINI), Hamilton Depression Rating Scale [HAM-D], and Hamilton Anxiety Rating Scale [HAM-A] were used. Results There was a higher prevalence of psychiatric disorders among the hyperthyroidism group (60% versus 34.7%). In particular, there was a higher prevalence of major depressive disorder, suicidality, generalised anxiety disorder, panic attacks, and agoraphobia. In some cases, the prevalence of a psychiatric disorder diminished after endocrinological treatment. Conclusions Screening patients with hyperthyroid disorders for psychiatric symptoms and disorders, and providing timely care when necessary, can go a long way in improving the quality of life of this population. It is imperative to establish routine screening and timely care of mental health symptoms and disorders in patients with hyperthyroidism.

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Monocyte chemoattractant protein-1 levels are associated with major depressive disorder

10.1101/2020.11.26.20239293 ◽

2020 ◽

Author(s):

Maliha Afrin Proma ◽

Sohel Daria ◽

Salsabil Islam ◽

Zabun Nahar ◽

Sardar Mohammad Ashraful Islam ◽

...

Keyword(s):

Major Depressive Disorder ◽

Depressive Disorder ◽

Rating Scale ◽

Area Under The Curve ◽

Significant Negative Correlation ◽

Characteristic Analysis ◽

Major Depressive ◽

Monocyte Chemoattractant Protein 1 ◽

Monocyte Chemoattractant ◽

Monocyte Chemoattractant Protein

AbstractMajor depressive disorder (MDD) is a distressing condition characterized by persistent low mood, loss of interest in daily activities. Many biological, psycho-social, and genetic factors are thought to be involved with depression. The present study aimed to investigate the serum levels of monocyte chemoattractant protein-1 (MCP-1) in MDD patients to explore its role in the development of depression. This case-control study recruited 114 MDD patients and 106 healthy controls (HCs) matched by age and gender. A specialized psychiatrist diagnosed the cases and evaluated the controls based on the diagnostic and statistical manual for mental disorders, 5th edition. The serum MCP-1 levels were quantified by commercially available enzyme-linked immune sorbent assay kits. The Hamilton depression rating scale (Ham-D) was applied to measure the severity of depression. We observed the decreased levels of serum MCP-1 in MDD patients compared to HCs. A significant negative correlation was obtained between serum MCP-1 levels and Ham-D scores. Also, female MDD patients with higher Ham-D scores exhibited lower serum MCP-1 levels. The receiver operating characteristic analysis demonstrated the good diagnostic value of MCP-1 with the area under the curve at 0.837. The depression-related alteration of serum MCP-1 may be more complicated than the current assumption and depends on the characteristics of the individual patients. Our study suggests that the serum MCP-1 levels might be involved in the pathophysiology and mechanism of MDD. The present findings, along with the diagnostic evaluation, might be used to assess the depression risk.

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Identifying the Mental Health Needs of Preschool Children

The Journal of School Nursing ◽

10.1177/10598405010170041001 ◽

2001 ◽

Vol 17 (4) ◽

pp. 222-226 ◽

Cited By ~ 2

Author(s):

Kathleen R. Delaney ◽

Frances Belmonte-Mann

Keyword(s):

Mental Health ◽

Health Assessment ◽

Preschool Education ◽

Assessment Method ◽

School Nurses ◽

Health Needs ◽

Nurse Consultant ◽

At Risk Children ◽

Child Psychiatric ◽

Assessment Skills

The city of Chicago offers publicly funded preschool education to 20,000 3- and 4-year-olds through its State Pre-Kindergarten program. The students attend some 300 schools, and their health needs are monitored by 11 nurses and 8 aides. In the last several years, the nursing coordinator recognized the need to improve the mental health assessment skills of the school nurses. To that end, a relationship was developed with a child psychiatric nurse who had expertise in assessing young children’s behaviors, particularly in the context of the classroom milieu. The collaboration of the school nurse and mental health nurse-consultant was structured as one-on-one sessions, each focusing on a particular child. A case is presented to illustrate the assessment method and accompanying suggestions for early intervention strategies. The case also points out how school nurses can structure assessments of at-risk children that lead to classroom-based interventions.

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Monocyte chemoattractant protein-1 levels are associated with major depressive disorder

Journal of Basic and Clinical Physiology and Pharmacology ◽

10.1515/jbcpp-2021-0132 ◽

2022 ◽

Vol 0 (0) ◽

Author(s):

Maliha Afrin Proma ◽

Sohel Daria ◽

Zabun Nahar ◽

Sardar Mohammad Ashraful Islam ◽

Mohiuddin Ahmed Bhuiyan ◽

...

Keyword(s):

Major Depressive Disorder ◽

Depressive Disorder ◽

Rating Scale ◽

Area Under The Curve ◽

Significant Negative Correlation ◽

Characteristic Analysis ◽

Major Depressive ◽

Monocyte Chemoattractant Protein 1 ◽

Monocyte Chemoattractant ◽

Monocyte Chemoattractant Protein

Abstract Objectives Major depressive disorder (MDD) is a distressing condition characterized by persistent low mood, loss of interest in daily activities. Researchers consider several biological, psycho-social, and genetic factors are involved in depression. The present study aimed to investigate the serum levels of monocyte chemoattractant protein-1 (MCP-1) in MDD patients to explore its role in depression. Methods This case-control study recruited 114 MDD patients and 106 healthy controls (HCs) matched by age and gender. A specialized psychiatrist diagnosed the cases and evaluated the controls based on the diagnostic and statistical manual for mental disorders, 5th edition. We quantified serum MCP-1 levels using commercially available enzyme-linked immune sorbent assay kits. Also, we applied the Hamilton depression rating scale (Ham-D) to measure the severity of depression. Results We observed the decreased levels of serum MCP-1 in MDD patients compared to HCs. Also, we obtained a significant negative correlation between serum MCP-1 levels and Ham-D scores. Moreover, female MDD patients with higher Ham-D scores exhibited lower serum MCP-1 levels. The receiver operating characteristic analysis demonstrated the good diagnostic value of MCP-1 with the area under the curve at 0.837. Conclusions The depression-related alteration of serum MCP-1 may be more complicated than the current assumption and depends on the characteristics of the individual patients. Our study suggests that the serum MCP-1 levels might involve in the pathophysiology and mechanism of MDD. The present findings, along with the diagnostic evaluation, might be used to evaluate depressive patients.

Download Full-text