Products & Core concepts

Mental Health Scores

Quantify the mental well-being of the user through Depression, Stress, and Anxiety scores, each calculated by analyzing specific aspects of the user's behavior and lifestyle patterns. These models are developed by integrating state-of-the-art research and through consultation with research labs. The Mental Health Scores provide a sophisticated, yet user-friendly approach to understanding subtle mental health trends, empowering users with actionable insights for their mental well-being journey.

Note

To understand the format of the output values provided by the models, please refer to the model schema .


About the Mental Health Scores

  • Trained on clinically used questionnaires: such as the PHQ-9 and DASS-21.
  • Rooted in simplicity : customers can directly use the out-of-box score to keep things simple
  • For the power users : the models come with explainability through factors for more insights in to the score, as well as analysis of multiple states allowing customers to deliver more specific experiences.

Available Scores

Score Type State Model Description
Depression Score PRODUCTION Trained on the DASS-21, this model predicts the current depression state of the user
Stress Score BETA Trained on the DASS-21, this model predicts the current stress state of the user
Anxiety Score BETA Trained on the DASS-21, this model predicts the current anxiety state of the user
Resilience Score RESEARCH A series of models for depression, anxiety, and stress that predict the future state of the user— providing a measure of resilience or risk of developing the condition

Depression Score

Monitor mental well-being through behavioral patterns. The Depression Score is an integral part of Sahha's suite of mental health scores, specifically focused on depression-like behavioral characteristics. It integrates behavioral data from smartphones and wearables to provide insights into your psychological state. This guide explains the factors contributing to the Depression Score, helping users understand their mental health in a new, data-driven way.

At-a-Glance: Depression Score

Aspect Details
Score type depression
score range 0.0 - 1.0
Possible states none, low, medium, high
Supported inputData activity, age, gender
Key factors active_hours, daily_steps, activity_goals, sedentary_periods, activity_deviation
Status AVAILABLE

Understanding the Depression Score

How to Read the Score

A higher score may imply a greater resemblance to behavioral patterns commonly associated with depression. Each factor's contribution is crucial for managing and improving mental health.

Interpreting the State

  • High : Suggests significant depressive characteristics, potentially warranting professional help.
  • Medium : Reflects moderate depressive symptoms, indicating the need for lifestyle adjustments or support.
  • Low : Represents mild depression-like behavior, an opportunity for adopting proactive mental well-being measures.
  • None : Implies minimal or no depression-like behavior; however, continuous monitoring and well-being practices are advised.

Using the Score for Depression Management

Identify and address factors that increase the score, such as irregular activity patterns or prolonged sedentary periods, to enhance mental well-being.

Limitations and Considerations

The Depression Score is an indicator of mental health and not a clinical diagnosis. Depression is a multifaceted clinical disorder requiring a specialist for diagnosis that involves non-behavioural factors such as medical history, genetic predisposition, familial history, comorbidities.

  1. Inference from Physical Behavior Alone : MHS infers the psychological state of a user solely based on physical behavior captured through smartphones and wearables. This method provides a limited perspective, as mental health is a complex interplay of various factors including genetics, personal experiences, and environmental influences, which cannot be fully captured through physical activity data alone.
  2. Screening, Not Diagnostic : The training of the machine learning models for MHS is based on subjective clinical rating scales such as PHQ-9 for depression and GAD-7 for anxiety. These scales are used for screening and not for clinical diagnosis. Therefore, the MHS should be viewed as indicative of the level of severity of a mental health disorder rather than a clinical diagnosis.
  3. Explainability Factors of behavior alone : While the models provide 'explainability factors' indicating which aspects of user behavior impact the scores most, these factors are derived from limited behavioral data. They might not encompass all relevant variables that contribute to an individual’s mental health state.

Note

For effective utilization of our products, we encourage you to explore our best practices guide.

Depression Score Factors

# Factor Definition Clinical Relevance Optimal Value Reference
1. Active Hours Represents the number of hours in a day where the individual is sufficiently active, based on a minimum step count. Being active throughout the day is linked with improved mood and mental health. Ideally, most waking hours should involve some level of physical activity. Dinas, P. C., Yiannis Koutedakis, and A. D. Flouris. "Effects of exercise and physical activity on depression."
2. Daily Steps Counts the average number of steps taken each day. Steps are a basic indicator of physical activity, which affects mental well-being. Aim for at least 10,000 steps per day as a general guideline for good health. Mammen, George, and Guy Faulkner. "Physical activity and the prevention of depression: a systematic review of prospective studies."
3. Activity Goals Tracks progress towards personalized physical activity targets based on the recommended value for the individual's age. Meeting activity goals indicates a proactive approach to physical and mental health. Achieving daily or weekly activity targets tailored to individual fitness levels. Cuijpers, Pim, Annemieke Van Straten, and Lisanne Warmerdam. "Behavioral activation treatments of depression: A meta-analysis."
4. Sedentary Periods Monitors durations of prolonged inactivity or minimal physical movement. Long sedentary periods are often associated with poorer mental health outcomes. Limiting sedentary periods to less than 8 hours a day, including work-related sitting. Zhai, Long, Yi Zhang, and Dongfeng Zhang. "Sedentary behaviour and the risk of depression: a meta-analysis."
5. Activity Deviation Estimates the total number of calories expended through physical activity. Significant deviations in activity can reflect changes in mental state. Consistency in physical activity patterns. Luik, Annemarie I., et al. "24‐hour activity rhythm and sleep disturbances in depression and anxiety: A population‐based study of middle‐aged and older persons."

Frequently Asked Questions (FAQs)

Q: How can I use the Depression Score to improve my mental health?

A: By understanding and acting on the factors impacting your score, such as increasing daily activity and reducing sedentary periods, you can work towards better mental health.

Q: Is the Depression Score a replacement for professional mental health care?

A: No, it is a screening tool. If your score is medium or high, seeking professional help is recommended.

Q: Can lifestyle changes impact my Depression Score?

A: Absolutely. Positive lifestyle modifications, like more regular physical activity and reduced sedentary time, can influence your score and overall mental well-being.


Stress Score

Empower your mental wellbeing. The Anxiety Score is an innovative measure designed to gauge anxiety levels based on physical activity patterns and lifestyle habits. It integrates various aspects of daily activity and routine to offer insights into potential anxiety indicators. This guide outlines the factors contributing to the Anxiety Score, explaining how each element relates to anxiety levels and mental health.

At-a-Glance: Stress Score

Aspect Details
Score type anxiety
score range 0.0 - 1.0
Possible states none, low, medium, high
Supported inputData activity, age, gender
Key factors active_hours, daily_steps, activity_goals, sedentary_periods, activity_deviation
Status BETA

Understanding the Stress Score

How to Read the Score

A higher score indicates more stress-like behaviour. Understanding the impact of each factor is key to managing and mitigating stress.

Interpreting the State

  • High : Indicates significant stress-like behaviour that may require professional intervention.
  • Medium : Reflects moderate stress-like behaviour, suggesting a need for stress management strategies.
  • Low : Represents mild stress-like behaviour, a stage where proactive stress management can be most effective.
  • None : Suggests minimal or no stress-like behaviour, although maintaining a healthy lifestyle is recommended.

Using the Score for Stress Management

Focus on modifying factors that contribute to a higher stress score, like increasing physical activity and reducing sedentary periods, to manage stress better.

Limitations and Considerations

The Stress Score is a tool for identifying stress-like behaviours and is not a clinical diagnosis. It's important to consider personal health conditions and environmental factors.

  1. Inference from Physical Behavior Alone : MHS infers the psychological state of a user solely based on physical behavior captured through smartphones and wearables. This method provides a limited perspective, as mental health is a complex interplay of various factors including genetics, personal experiences, and environmental influences, which cannot be fully captured through physical activity data alone.
  2. Screening, Not Diagnostic : The training of the machine learning models for MHS is based on subjective clinical rating scales such as PHQ-9 for depression and GAD-7 for anxiety. These scales are used for screening and not for clinical diagnosis. Therefore, the MHS should be viewed as indicative of the level of severity of a mental health disorder rather than a clinical diagnosis.
  3. Explainability Factors of behavior alone : While the models provide 'explainability factors' indicating which aspects of user behavior impact the scores most, these factors are derived from limited behavioral data. They might not encompass all relevant variables that contribute to an individual’s mental health state.

Note

For effective utilization of our products, we encourage you to explore our best practices guide.

Stress Score Factors

# Factor Definition Relevance Optimal Value Reference
1. Active Hours Indicates the amount of time spent in physical activity each day. Regular physical activity is associated with lower stress levels. Aim for consistent activity throughout the day. Norris, Richard, Douglas Carroll, and Raymond Cochrane. "The effects of physical activity and exercise training on psychological stress and well-being in an adolescent population."
2. Daily Steps The average number of steps taken per day. Physical activity, as measured in steps, can inversely affect stress levels. Target around 10,000 steps per day for overall well-being. Schultchen, Dana, et al. "Bidirectional relationship of stress and affect with physical activity and healthy eating."
3. Activity Goals Monitors progress towards daily or weekly physical activity targets. Achieving activity goals can reduce stress and improve mental health. Personalized activity goals based on fitness level and age. Nguyen‐Michel, Selena T., et al. "Associations between physical activity and perceived stress/hassles in college students."
4. Sedentary Periods Tracks periods of inactivity or minimal movement. Extended sedentary periods are linked to increased stress levels. Limit sedentary time, aiming for regular movement breaks. Mouchacca, Jennifer, Gavin R. Abbott, and Kylie Ball. "Associations between psychological stress, eating, physical activity, sedentary behaviours and body weight among women: a longitudinal study."
5. Activity Deviation Assesses the consistency of physical activity. Fluctuations in activity can be indicators of changing stress levels. Maintaining a consistent level of physical activity is ideal. Stults-Kolehmainen, Matthew A., and Rajita Sinha. "The effects of stress on physical activity and exercise."

Frequently Asked Questions (FAQs)

Q: How can I use the Stress Score to manage my stress?

A: By tracking and understanding the contributing factors, such as increasing physical activity and reducing sedentary periods, you can effectively manage your stress levels.

Q: Is the Stress Score a substitute for professional care in stress management?

A: No, it serves as a screening tool. Professional help is advised for high or persistent medium stress levels.

Q: Can changes in lifestyle impact my Stress Score?

A: Yes. Lifestyle modifications, particularly around physical activity and daily routine, can positively influence your Stress Score and stress management.


Anxiety Score

Empower your mental wellbeing. The Anxiety Score is a measure designed to gauge anxiety-like behaviour based on physical activity patterns and lifestyle habits. It integrates various aspects of daily activity and routine to offer insights into potential anxiety indicators. This guide outlines the factors contributing to the Anxiety Score, explaining how each element relates to anxiety levels and mental health.

At-a-Glance: Anxiety Score

Aspect Details
Score type anxiety
score range 0.0 - 1.0
Possible states none, low, medium, high
Supported inputData activity, age, gender
Key factors active_hours, daily_steps, activity_goals, sedentary_periods, activity_deviation
Status BETA

Understanding the Anxiety Score

How to Read the Score

A lower score generally indicates reduced anxiety-like behaviour, while a higher score may suggest increased anxiety-like behaviour. It's important to analyze the contribution of each factor for a comprehensive understanding.

Interpreting the State

  • High : Suggests significant anxiety-like behaviour, potentially affecting daily functioning.
  • Medium : Indicates moderate anxiety-like behaviour, which might impact well-being occasionally.
  • Low : Reflects manageable anxiety-like behaviour with minor influence on daily life.
  • None : Denotes an absence or negligible anxiety-like behaviour, suggesting a calm mental state.

Using the Score for Anxiety Management

Identify factors contributing to a higher score and consider lifestyle adjustments. For example, increasing active hours or reducing sedentary periods might help in managing anxiety.

Limitations and Considerations

The Anxiety Score is a wellness tool and not a diagnostic measure. It should not replace professional medical advice. Individual experiences and psychological factors can also influence anxiety levels.

  1. Inference from Physical Behavior Alone : MHS infers the psychological state of a user solely based on physical behavior captured through smartphones and wearables. This method provides a limited perspective, as mental health is a complex interplay of various factors including genetics, personal experiences, and environmental influences, which cannot be fully captured through physical activity data alone.
  2. Screening, Not Diagnostic : The training of the machine learning models for MHS is based on subjective clinical rating scales such as PHQ-9 for depression and GAD-7 for anxiety. These scales are used for screening and not for clinical diagnosis. Therefore, the MHS should be viewed as indicative of the level of severity of a mental health disorder rather than a clinical diagnosis.
  3. Explainability Factors of behavior alone : While the models provide 'explainability factors' indicating which aspects of user behavior impact the scores most, these factors are derived from limited behavioral data. They might not encompass all relevant variables that contribute to an individual’s mental health state.

Note

For effective utilization of our products, we encourage you to explore our best practices guide.

Anxiety Score Factors

# Factor Definition Relevance Optimal Value Reference
1. Active Hours Hours in a day with significant physical activity. Active lifestyles are often associated with lower anxiety levels. Ideally, most waking hours should involve some level of physical activity. Anderson, Elizabeth, and Geetha Shivakumar. "Effects of exercise and physical activity on anxiety."
2. Daily Steps Average number of steps taken per day. Regular walking and movement can help in managing anxiety. Aiming for a healthy number of steps, like 10,000 daily, can be beneficial. Ströhle, Andreas. "Physical activity, exercise, depression and anxiety disorders."
3. Activity Goals Personalized physical activity targets. Achieving set goals can lead to a sense of accomplishment, reducing anxiety. Personalized goals that challenge yet are achievable. Martinsen, Egil W. "Physical activity in the prevention and treatment of anxiety and depression."
4. Sedentary Periods Duration of inactivity or minimal movement. Long sedentary periods are often linked with higher anxiety levels. Reducing sedentary periods, aiming for less than 8 hours a day. Teychenne, Megan, Sarah A. Costigan, and Kate Parker. "The association between sedentary behaviour and risk of anxiety: a systematic review."
5. Activity Deviation Variance from usual physical activity patterns. Significant deviations can indicate disruptions in routine, possibly elevating anxiety. Maintaining consistent activity patterns. Luik, Annemarie I., et al. "24‐hour activity rhythm and sleep disturbances in depression and anxiety: A population‐based study of middle‐aged and older persons."

Frequently Asked Questions (FAQs)

Q: How can I improve my Anxiety Score?

A: Improving your Anxiety Score involves maintaining consistent physical activity, achieving daily activity goals, and minimizing periods of inactivity. It's also important to address any significant deviations in your usual activity patterns.

Q: What does a high Anxiety Score indicate?

A: A high Anxiety Score suggests higher levels of anxiety, possibly impacting daily life. It's a prompt to evaluate lifestyle habits and consider professional advice if needed.

Q: Can physical activity alone manage anxiety?

A: While physical activity is a key factor in managing anxiety, it's one part of a broader approach. Mental health is multifaceted, and professional guidance is often necessary for effective management.


Continuous Improvement and Updates

At Sahha, we are committed to constantly refining the mental health models, incorporating new research and user feedback to ensure accuracy and relevance. Our goal is to support our users in their journey towards mental wellness.

Further References