Research

Longitudinal trends in symptom and mood during pregnancy: a retrospective study from digital health app

Abstract

Authors
Authors
Authors
Mia Charifson
https://www.delfina.com/resource/longitudinal-trends-in-symptom-and-mood-during-pregnancy-a-retrospective-study-from-digital-health-app

Authors: Mia Charifson, Timothy Wen, Bonnie Zell, Isabel Fulcher

Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2025 

Objective: Pregnancy symptomatology and mood are routinely captured during prenatal care, however, little data exists on how their trajectories vary throughout pregnancy. The use of mobile pregnancy trackers presents new opportunities to study symptom and mood trajectories throughout pregnancy. 

Study Design: Pregnant patients from three clinics enrolled in a pregnancy mobile application between January 2023 and July 2024 and were instructed by their care team to track weekly pregnancy symptoms (100 unique symptoms available to select) and daily mood rating (1 to 5) in the application. We plot the trajectories of the top five symptom groups and average mood throughout pregnancy using cubic splines. We perform statistical tests for linear and quadratic terms in regression models to describe trends by gestational week. 

Results: By July 2024, there were n=1445 patients using the application. 1073 users reported a total of 24,273 symptoms (average 22.62 symptoms per user) and 1100 reported a total of 29,148 mood measures (average 26.5 moods per user). The top five symptom groups ever reported in our cohort were constitutional, musculoskeletal, gastrointestinal, obstetric, and genitourinary symptoms (Table 1). Each symptom group had a unique trajectory throughout pregnancy (Figure 1). Musculoskeletal symptoms increased linearly (p<0.01) and gastrointestinal symptoms decreased linearly (p<0.01). Constitutional (p<0.01), obstetric (p<0.01), and genitourinary (p<0.01) all had U-shaped curves throughout pregnancy. Average mood also exhibited a slight inverted U-shaped curve (p<0.01), although variation throughout pregnancy was low overall (SD = 0.15).

Conclusions: We observed distinct trajectories of symptoms and mood throughout pregnancy. Such information could improve personalized pregnancy care, use evidence-based knowledge to normalize pregnancy experiences, and may be potentially informative for early detection of adverse outcomes.

Figure 1: Symptom and mood trajectories throughout pregnancy

The proportion of users who experienced that symptom in each week of gestation is presented for the top five symptom groups (y-axis is from 0 to 1). The average weekly mood across users is presented for each week of gestation (y-axis is from 1 to 5, where 1 = Terrible and 5 = Great).

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Research

Longitudinal trends in symptom and mood during pregnancy: a retrospective study from digital health app

Abstract

Authors
Authors
Authors
Mia Charifson
https://www.delfina.com/resource/longitudinal-trends-in-symptom-and-mood-during-pregnancy-a-retrospective-study-from-digital-health-app

Authors: Mia Charifson, Timothy Wen, Bonnie Zell, Isabel Fulcher

Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2025 

Objective: Pregnancy symptomatology and mood are routinely captured during prenatal care, however, little data exists on how their trajectories vary throughout pregnancy. The use of mobile pregnancy trackers presents new opportunities to study symptom and mood trajectories throughout pregnancy. 

Study Design: Pregnant patients from three clinics enrolled in a pregnancy mobile application between January 2023 and July 2024 and were instructed by their care team to track weekly pregnancy symptoms (100 unique symptoms available to select) and daily mood rating (1 to 5) in the application. We plot the trajectories of the top five symptom groups and average mood throughout pregnancy using cubic splines. We perform statistical tests for linear and quadratic terms in regression models to describe trends by gestational week. 

Results: By July 2024, there were n=1445 patients using the application. 1073 users reported a total of 24,273 symptoms (average 22.62 symptoms per user) and 1100 reported a total of 29,148 mood measures (average 26.5 moods per user). The top five symptom groups ever reported in our cohort were constitutional, musculoskeletal, gastrointestinal, obstetric, and genitourinary symptoms (Table 1). Each symptom group had a unique trajectory throughout pregnancy (Figure 1). Musculoskeletal symptoms increased linearly (p<0.01) and gastrointestinal symptoms decreased linearly (p<0.01). Constitutional (p<0.01), obstetric (p<0.01), and genitourinary (p<0.01) all had U-shaped curves throughout pregnancy. Average mood also exhibited a slight inverted U-shaped curve (p<0.01), although variation throughout pregnancy was low overall (SD = 0.15).

Conclusions: We observed distinct trajectories of symptoms and mood throughout pregnancy. Such information could improve personalized pregnancy care, use evidence-based knowledge to normalize pregnancy experiences, and may be potentially informative for early detection of adverse outcomes.

Figure 1: Symptom and mood trajectories throughout pregnancy

The proportion of users who experienced that symptom in each week of gestation is presented for the top five symptom groups (y-axis is from 0 to 1). The average weekly mood across users is presented for each week of gestation (y-axis is from 1 to 5, where 1 = Terrible and 5 = Great).

Research

Longitudinal trends in symptom and mood during pregnancy: a retrospective study from digital health app

Abstract

Authors
Authors
Authors
Mia Charifson
https://www.delfina.com/resource/longitudinal-trends-in-symptom-and-mood-during-pregnancy-a-retrospective-study-from-digital-health-app

Authors: Mia Charifson, Timothy Wen, Bonnie Zell, Isabel Fulcher

Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2025 

Objective: Pregnancy symptomatology and mood are routinely captured during prenatal care, however, little data exists on how their trajectories vary throughout pregnancy. The use of mobile pregnancy trackers presents new opportunities to study symptom and mood trajectories throughout pregnancy. 

Study Design: Pregnant patients from three clinics enrolled in a pregnancy mobile application between January 2023 and July 2024 and were instructed by their care team to track weekly pregnancy symptoms (100 unique symptoms available to select) and daily mood rating (1 to 5) in the application. We plot the trajectories of the top five symptom groups and average mood throughout pregnancy using cubic splines. We perform statistical tests for linear and quadratic terms in regression models to describe trends by gestational week. 

Results: By July 2024, there were n=1445 patients using the application. 1073 users reported a total of 24,273 symptoms (average 22.62 symptoms per user) and 1100 reported a total of 29,148 mood measures (average 26.5 moods per user). The top five symptom groups ever reported in our cohort were constitutional, musculoskeletal, gastrointestinal, obstetric, and genitourinary symptoms (Table 1). Each symptom group had a unique trajectory throughout pregnancy (Figure 1). Musculoskeletal symptoms increased linearly (p<0.01) and gastrointestinal symptoms decreased linearly (p<0.01). Constitutional (p<0.01), obstetric (p<0.01), and genitourinary (p<0.01) all had U-shaped curves throughout pregnancy. Average mood also exhibited a slight inverted U-shaped curve (p<0.01), although variation throughout pregnancy was low overall (SD = 0.15).

Conclusions: We observed distinct trajectories of symptoms and mood throughout pregnancy. Such information could improve personalized pregnancy care, use evidence-based knowledge to normalize pregnancy experiences, and may be potentially informative for early detection of adverse outcomes.

Figure 1: Symptom and mood trajectories throughout pregnancy

The proportion of users who experienced that symptom in each week of gestation is presented for the top five symptom groups (y-axis is from 0 to 1). The average weekly mood across users is presented for each week of gestation (y-axis is from 1 to 5, where 1 = Terrible and 5 = Great).

Research

Longitudinal trends in symptom and mood during pregnancy: a retrospective study from digital health app

Abstract

Authors
Authors
Authors
Mia Charifson
https://www.delfina.com/resource/longitudinal-trends-in-symptom-and-mood-during-pregnancy-a-retrospective-study-from-digital-health-app

Authors: Mia Charifson, Timothy Wen, Bonnie Zell, Isabel Fulcher

Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2025 

Objective: Pregnancy symptomatology and mood are routinely captured during prenatal care, however, little data exists on how their trajectories vary throughout pregnancy. The use of mobile pregnancy trackers presents new opportunities to study symptom and mood trajectories throughout pregnancy. 

Study Design: Pregnant patients from three clinics enrolled in a pregnancy mobile application between January 2023 and July 2024 and were instructed by their care team to track weekly pregnancy symptoms (100 unique symptoms available to select) and daily mood rating (1 to 5) in the application. We plot the trajectories of the top five symptom groups and average mood throughout pregnancy using cubic splines. We perform statistical tests for linear and quadratic terms in regression models to describe trends by gestational week. 

Results: By July 2024, there were n=1445 patients using the application. 1073 users reported a total of 24,273 symptoms (average 22.62 symptoms per user) and 1100 reported a total of 29,148 mood measures (average 26.5 moods per user). The top five symptom groups ever reported in our cohort were constitutional, musculoskeletal, gastrointestinal, obstetric, and genitourinary symptoms (Table 1). Each symptom group had a unique trajectory throughout pregnancy (Figure 1). Musculoskeletal symptoms increased linearly (p<0.01) and gastrointestinal symptoms decreased linearly (p<0.01). Constitutional (p<0.01), obstetric (p<0.01), and genitourinary (p<0.01) all had U-shaped curves throughout pregnancy. Average mood also exhibited a slight inverted U-shaped curve (p<0.01), although variation throughout pregnancy was low overall (SD = 0.15).

Conclusions: We observed distinct trajectories of symptoms and mood throughout pregnancy. Such information could improve personalized pregnancy care, use evidence-based knowledge to normalize pregnancy experiences, and may be potentially informative for early detection of adverse outcomes.

Figure 1: Symptom and mood trajectories throughout pregnancy

The proportion of users who experienced that symptom in each week of gestation is presented for the top five symptom groups (y-axis is from 0 to 1). The average weekly mood across users is presented for each week of gestation (y-axis is from 1 to 5, where 1 = Terrible and 5 = Great).

Research

Longitudinal trends in symptom and mood during pregnancy: a retrospective study from digital health app

Abstract

Authors
Authors
Authors
Mia Charifson
https://www.delfina.com/resource/longitudinal-trends-in-symptom-and-mood-during-pregnancy-a-retrospective-study-from-digital-health-app

Authors: Mia Charifson, Timothy Wen, Bonnie Zell, Isabel Fulcher

Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2025 

Objective: Pregnancy symptomatology and mood are routinely captured during prenatal care, however, little data exists on how their trajectories vary throughout pregnancy. The use of mobile pregnancy trackers presents new opportunities to study symptom and mood trajectories throughout pregnancy. 

Study Design: Pregnant patients from three clinics enrolled in a pregnancy mobile application between January 2023 and July 2024 and were instructed by their care team to track weekly pregnancy symptoms (100 unique symptoms available to select) and daily mood rating (1 to 5) in the application. We plot the trajectories of the top five symptom groups and average mood throughout pregnancy using cubic splines. We perform statistical tests for linear and quadratic terms in regression models to describe trends by gestational week. 

Results: By July 2024, there were n=1445 patients using the application. 1073 users reported a total of 24,273 symptoms (average 22.62 symptoms per user) and 1100 reported a total of 29,148 mood measures (average 26.5 moods per user). The top five symptom groups ever reported in our cohort were constitutional, musculoskeletal, gastrointestinal, obstetric, and genitourinary symptoms (Table 1). Each symptom group had a unique trajectory throughout pregnancy (Figure 1). Musculoskeletal symptoms increased linearly (p<0.01) and gastrointestinal symptoms decreased linearly (p<0.01). Constitutional (p<0.01), obstetric (p<0.01), and genitourinary (p<0.01) all had U-shaped curves throughout pregnancy. Average mood also exhibited a slight inverted U-shaped curve (p<0.01), although variation throughout pregnancy was low overall (SD = 0.15).

Conclusions: We observed distinct trajectories of symptoms and mood throughout pregnancy. Such information could improve personalized pregnancy care, use evidence-based knowledge to normalize pregnancy experiences, and may be potentially informative for early detection of adverse outcomes.

Figure 1: Symptom and mood trajectories throughout pregnancy

The proportion of users who experienced that symptom in each week of gestation is presented for the top five symptom groups (y-axis is from 0 to 1). The average weekly mood across users is presented for each week of gestation (y-axis is from 1 to 5, where 1 = Terrible and 5 = Great).

Research

Longitudinal trends in symptom and mood during pregnancy: a retrospective study from digital health app

Abstract

https://www.delfina.com/resource/longitudinal-trends-in-symptom-and-mood-during-pregnancy-a-retrospective-study-from-digital-health-app

Authors: Mia Charifson, Timothy Wen, Bonnie Zell, Isabel Fulcher

Conference: Society for Maternal and Fetal Medicine Annual Pregnancy Meeting 2025 

Objective: Pregnancy symptomatology and mood are routinely captured during prenatal care, however, little data exists on how their trajectories vary throughout pregnancy. The use of mobile pregnancy trackers presents new opportunities to study symptom and mood trajectories throughout pregnancy. 

Study Design: Pregnant patients from three clinics enrolled in a pregnancy mobile application between January 2023 and July 2024 and were instructed by their care team to track weekly pregnancy symptoms (100 unique symptoms available to select) and daily mood rating (1 to 5) in the application. We plot the trajectories of the top five symptom groups and average mood throughout pregnancy using cubic splines. We perform statistical tests for linear and quadratic terms in regression models to describe trends by gestational week. 

Results: By July 2024, there were n=1445 patients using the application. 1073 users reported a total of 24,273 symptoms (average 22.62 symptoms per user) and 1100 reported a total of 29,148 mood measures (average 26.5 moods per user). The top five symptom groups ever reported in our cohort were constitutional, musculoskeletal, gastrointestinal, obstetric, and genitourinary symptoms (Table 1). Each symptom group had a unique trajectory throughout pregnancy (Figure 1). Musculoskeletal symptoms increased linearly (p<0.01) and gastrointestinal symptoms decreased linearly (p<0.01). Constitutional (p<0.01), obstetric (p<0.01), and genitourinary (p<0.01) all had U-shaped curves throughout pregnancy. Average mood also exhibited a slight inverted U-shaped curve (p<0.01), although variation throughout pregnancy was low overall (SD = 0.15).

Conclusions: We observed distinct trajectories of symptoms and mood throughout pregnancy. Such information could improve personalized pregnancy care, use evidence-based knowledge to normalize pregnancy experiences, and may be potentially informative for early detection of adverse outcomes.

Figure 1: Symptom and mood trajectories throughout pregnancy

The proportion of users who experienced that symptom in each week of gestation is presented for the top five symptom groups (y-axis is from 0 to 1). The average weekly mood across users is presented for each week of gestation (y-axis is from 1 to 5, where 1 = Terrible and 5 = Great).

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Longitudinal trends in symptom and mood during pregnancy: a retrospective study from digital health app

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https://www.delfina.com/resource/longitudinal-trends-in-symptom-and-mood-during-pregnancy-a-retrospective-study-from-digital-health-app