The impact of COVID-19 on a college freshman sample reveals genetic and nongenetic forms of susceptibility and resilience to stress
Using a longitudinal approach, we sought to define the interplay between genetic and nongenetic factors in shaping vulnerability or resilience to COVID-19 pandemic stress, as indexed by the emergence of symptoms of depression and/or anxiety. University of Michigan freshmen were characterized at base...
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| Published in: | Proceedings of the National Academy of Sciences - PNAS Vol. 120; no. 49; p. e2305779120 |
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| Main Authors: | , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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United States
05.12.2023
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| ISSN: | 1091-6490, 1091-6490 |
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| Abstract | Using a longitudinal approach, we sought to define the interplay between genetic and nongenetic factors in shaping vulnerability or resilience to COVID-19 pandemic stress, as indexed by the emergence of symptoms of depression and/or anxiety. University of Michigan freshmen were characterized at baseline using multiple psychological instruments. Subjects were genotyped, and a polygenic risk score for depression (MDD-PRS) was calculated. Daily physical activity and sleep were captured. Subjects were sampled at multiple time points throughout the freshman year on clinical rating scales, including GAD-7 and PHQ-9 for anxiety and depression, respectively. Two cohorts (2019 to 2021) were compared to a pre-COVID-19 cohort to assess the impact of the pandemic. Across cohorts, 26 to 40% of freshmen developed symptoms of anxiety or depression (N = 331). Depression symptoms significantly increased in the pandemic years and became more chronic, especially in females. Physical activity was reduced, and sleep was increased by the pandemic, and this correlated with the emergence of mood symptoms. While low MDD-PRS predicted lower risk for depression during a typical freshman year, this genetic advantage vanished during the pandemic. Indeed, females with lower genetic risk accounted for the majority of the pandemic-induced rise in depression. We developed a model that explained approximately half of the variance in follow-up depression scores based on psychological trait and state characteristics at baseline and contributed to resilience in genetically vulnerable subjects. We discuss the concept of multiple types of resilience, and the interplay between genetic, sex, and psychological factors in shaping the affective response to different types of stressors. |
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| AbstractList | Using a longitudinal approach, we sought to define the interplay between genetic and nongenetic factors in shaping vulnerability or resilience to COVID-19 pandemic stress, as indexed by the emergence of symptoms of depression and/or anxiety. University of Michigan freshmen were characterized at baseline using multiple psychological instruments. Subjects were genotyped, and a polygenic risk score for depression (MDD-PRS) was calculated. Daily physical activity and sleep were captured. Subjects were sampled at multiple time points throughout the freshman year on clinical rating scales, including GAD-7 and PHQ-9 for anxiety and depression, respectively. Two cohorts (2019 to 2021) were compared to a pre-COVID-19 cohort to assess the impact of the pandemic. Across cohorts, 26 to 40% of freshmen developed symptoms of anxiety or depression (N = 331). Depression symptoms significantly increased in the pandemic years and became more chronic, especially in females. Physical activity was reduced, and sleep was increased by the pandemic, and this correlated with the emergence of mood symptoms. While low MDD-PRS predicted lower risk for depression during a typical freshman year, this genetic advantage vanished during the pandemic. Indeed, females with lower genetic risk accounted for the majority of the pandemic-induced rise in depression. We developed a model that explained approximately half of the variance in follow-up depression scores based on psychological trait and state characteristics at baseline and contributed to resilience in genetically vulnerable subjects. We discuss the concept of multiple types of resilience, and the interplay between genetic, sex, and psychological factors in shaping the affective response to different types of stressors. Using a longitudinal approach, we sought to define the interplay between genetic and nongenetic factors in shaping vulnerability or resilience to COVID-19 pandemic stress, as indexed by the emergence of symptoms of depression and/or anxiety. University of Michigan freshmen were characterized at baseline using multiple psychological instruments. Subjects were genotyped, and a polygenic risk score for depression (MDD-PRS) was calculated. Daily physical activity and sleep were captured. Subjects were sampled at multiple time points throughout the freshman year on clinical rating scales, including GAD-7 and PHQ-9 for anxiety and depression, respectively. Two cohorts (2019 to 2021) were compared to a pre-COVID-19 cohort to assess the impact of the pandemic. Across cohorts, 26 to 40% of freshmen developed symptoms of anxiety or depression (N = 331). Depression symptoms significantly increased in the pandemic years and became more chronic, especially in females. Physical activity was reduced, and sleep was increased by the pandemic, and this correlated with the emergence of mood symptoms. While low MDD-PRS predicted lower risk for depression during a typical freshman year, this genetic advantage vanished during the pandemic. Indeed, females with lower genetic risk accounted for the majority of the pandemic-induced rise in depression. We developed a model that explained approximately half of the variance in follow-up depression scores based on psychological trait and state characteristics at baseline and contributed to resilience in genetically vulnerable subjects. We discuss the concept of multiple types of resilience, and the interplay between genetic, sex, and psychological factors in shaping the affective response to different types of stressors.Using a longitudinal approach, we sought to define the interplay between genetic and nongenetic factors in shaping vulnerability or resilience to COVID-19 pandemic stress, as indexed by the emergence of symptoms of depression and/or anxiety. University of Michigan freshmen were characterized at baseline using multiple psychological instruments. Subjects were genotyped, and a polygenic risk score for depression (MDD-PRS) was calculated. Daily physical activity and sleep were captured. Subjects were sampled at multiple time points throughout the freshman year on clinical rating scales, including GAD-7 and PHQ-9 for anxiety and depression, respectively. Two cohorts (2019 to 2021) were compared to a pre-COVID-19 cohort to assess the impact of the pandemic. Across cohorts, 26 to 40% of freshmen developed symptoms of anxiety or depression (N = 331). Depression symptoms significantly increased in the pandemic years and became more chronic, especially in females. Physical activity was reduced, and sleep was increased by the pandemic, and this correlated with the emergence of mood symptoms. While low MDD-PRS predicted lower risk for depression during a typical freshman year, this genetic advantage vanished during the pandemic. Indeed, females with lower genetic risk accounted for the majority of the pandemic-induced rise in depression. We developed a model that explained approximately half of the variance in follow-up depression scores based on psychological trait and state characteristics at baseline and contributed to resilience in genetically vulnerable subjects. We discuss the concept of multiple types of resilience, and the interplay between genetic, sex, and psychological factors in shaping the affective response to different types of stressors. |
| Author | Sen, Srijan Turner, Cortney A Tang, Yu Weinberg, Lauren Lopez, Juan F Murphy-Weinberg, Virginia Fang, Yu Samaniego, Catherine Hagenauer, Megan H Khalil, Huzefa Dokas, Thomas Watson, Jr, Stanley J Gates, Linda Akil, Huda Floran-Garduno, Leonor Grysko, Robert Zhao, Zhuo |
| Author_xml | – sequence: 1 givenname: Cortney A surname: Turner fullname: Turner, Cortney A organization: Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109 – sequence: 2 givenname: Huzefa orcidid: 0000-0001-8042-3035 surname: Khalil fullname: Khalil, Huzefa organization: Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109 – sequence: 3 givenname: Virginia surname: Murphy-Weinberg fullname: Murphy-Weinberg, Virginia organization: Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109 – sequence: 4 givenname: Megan H orcidid: 0000-0002-3715-9475 surname: Hagenauer fullname: Hagenauer, Megan H organization: Department of Psychology, University of Michigan, Ann Arbor, MI 48109 – sequence: 5 givenname: Linda surname: Gates fullname: Gates, Linda organization: Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109 – sequence: 6 givenname: Yu surname: Tang fullname: Tang, Yu organization: Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109 – sequence: 7 givenname: Lauren surname: Weinberg fullname: Weinberg, Lauren organization: Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109 – sequence: 8 givenname: Robert surname: Grysko fullname: Grysko, Robert organization: Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109 – sequence: 9 givenname: Leonor surname: Floran-Garduno fullname: Floran-Garduno, Leonor organization: Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109 – sequence: 10 givenname: Thomas surname: Dokas fullname: Dokas, Thomas organization: Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109 – sequence: 11 givenname: Catherine surname: Samaniego fullname: Samaniego, Catherine organization: Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109 – sequence: 12 givenname: Zhuo surname: Zhao fullname: Zhao, Zhuo organization: Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109 – sequence: 13 givenname: Yu surname: Fang fullname: Fang, Yu organization: Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109 – sequence: 14 givenname: Srijan surname: Sen fullname: Sen, Srijan organization: Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109 – sequence: 15 givenname: Juan F surname: Lopez fullname: Lopez, Juan F organization: Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109 – sequence: 16 givenname: Stanley J surname: Watson, Jr fullname: Watson, Jr, Stanley J organization: Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109 – sequence: 17 givenname: Huda orcidid: 0000-0003-0623-1056 surname: Akil fullname: Akil, Huda organization: Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109 |
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| SubjectTerms | Affect Anxiety - epidemiology Anxiety - genetics Anxiety Disorders COVID-19 - epidemiology COVID-19 - genetics Depression - epidemiology Depression - genetics Female Humans Pandemics |
| Title | The impact of COVID-19 on a college freshman sample reveals genetic and nongenetic forms of susceptibility and resilience to stress |
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