Citation
How are Coloradans Coping with Covid?

Material Information

Title:
How are Coloradans Coping with Covid?
Creator:
Koprowicz, Nick
Place of Publication:
Denver, CO
Publisher:
University of Colorado Denver
Publication Date:
Language:
English
Physical Description:
Video

Notes

Abstract:
Throughout the pandemic, the US Census Bureau, in collaboration with multiple federal agencies, has been collecting data to measure household experiences through the Household Pulse Survey. One of the many questions asked of respondents is the state of their mental health; specifically, how often throughout the last week did the respondent experience feelings of depression? We use this survey to examine what factors may be contributing to more frequent feelings of depression among Colorado respondents. We consider individual factors such as age, race, and educational attainment, as well as factors related to the pandemic such as whether the respondent experienced recent job loss, or whether the respondent has experienced a delay in medical care.
Acquisition:
Collected for Auraria Institutional Repository by the Self-Submittal tool. Submitted by Nick Koprowicz.

Record Information

Source Institution:
Auraria Institutional Repository
Holding Location:
Auraria Library
Rights Management:
All applicable rights reserved by the source institution and holding location.

Downloads

This item is only available as the following downloads:


Full Text

PAGE 1

Throughout the pandemic, the US Census Bureau, in collaboration with multiple federal agencies, has been collecting data to measure household experiences through the Household Pulse Survey. One of the many questions asked of respondents is the state of their mental health; specifically, how often throughout the last week did the respondent experience feelings of depression? We use this survey to examine what factors may be contributing to more frequent feelings of depression among Colorado respondents. We consider individual factors such as age, race, and educational attainment, as well as f actors related to the pandemic such as whether the respondent experienced recent job loss, or whether the respondent has experienced a delay in medical care.



PAGE 1

How are Coloradans Coping With COVID 19? An examination of the factors associated with feelings of depression during the pandemic By Nick Koprowicz

PAGE 2

Question What factors are associated with more frequent feelings of depression among Coloradans during the pandemic? ! If we can understand what groups of people are more likely to experience frequent depression, we can better allocate mental health resources

PAGE 3

Data ! US Census Bureau collects household sentiment during the pandemic via the Household Pulse Survey ! Questions regarding healthcare, housing, employment status, mental health, etc. ! We use the 16 th week of the survey (Sept. 30 Ð Oct. 12 ) for Colorado residents ! Factors considered: ! Age, race, education, gender, marriage status, number of kids, recent household job loss, delayed medical care, rent/mortgage, and income ! Want to predict whether respondents felt depressed "several days or more" or "not at all" during last 7 days

PAGE 4

Methods: Build a Bayesian Logistic Regression Model Our model using the estimates for posterior means is: where ! ! is the probability that the " "# respondent reports feeling depressed several days or more during the last 7 days. !"# ! ! " # ! ! $ % & %' ( ) & %* + NUM_KIDS ! , ) & -+ WRKLOSS ! , % & .. + DELAY ! ( ) & ). + AGE ! ( ) & /0 + INCOME_2 ! ( ) & 10 + INCOME_3 !

PAGE 5

Drawing Inference !"# ! ! " # ! ! $ % & %' ( ) & %* + NUM_KIDS ! , ) & -+ WRKLOSS ! , % & .. + DELAY ! ( ) & ). + AGE ! ( ) & /0 + INCOME_2 ! ( ) & 10 + INCOME_3 !

PAGE 6

Drawing Inference ! We expect more frequent feelings of depression if: ! Recent work loss ! Delayed medical care due to pandemic !"# ! ! " # ! ! $ % & %' ( ) & %* + NUM_KIDS ! , ) & -+ WRKLOSS ! , % & .. + DELAY ! ( ) & ). + AGE ! ( ) & /0 + INCOME_2 ! ( ) & 10 + INCOME_3 !

PAGE 7

Drawing Inference ! We expect more frequent feelings of depression if: ! Recent work loss ! Delayed medical care due to pandemic ! We expect less frequent feelings of depression if: ! More children in the household ! Older ! Higher income !"# ! ! " # ! ! $ % & %' ( ) & %* + NUM_KIDS ! , ) & -+ WRKLOSS ! , % & .. + DELAY ! ( ) & ). + AGE ! ( ) & /0 + INCOME_2 ! ( ) & 10 + INCOME_3 !

PAGE 8

Drawing Inference ! We expect more frequent feelings of depression if: ! Recent work loss ! Delayed medical care due to pandemic ! We expect less frequent feelings of depression if: ! More children in the household ! Older ! Higher income ! Most significant effects ! Delayed medical care due to pandemic ! Household income > $100,000 !"# ! ! " # ! ! $ % & %' ( ) & %* + NUM_KIDS ! , ) & -+ WRKLOSS ! , % & .. + DELAY ! ( ) & ). + AGE ! ( ) & /0 + INCOME_2 ! ( ) & 10 + INCOME_3 !

PAGE 9

Drawing Inference ! Consider a ! 35 year old ! no kids ! no lost work, ! no delayed medical care ! household income of $60,000. Scenario Estimated probability of feeling depressed several days or more Default 0 . 512

PAGE 10

Drawing Inference ! Consider a ! 35 year old ! no kids ! not lost work, ! no delayed medical care ! household income of $60,000. Scenario Estimated probability of feeling depressed several days or more Default 0 . 512 If the person had 3 kids 0 . 376 If the person lost work 0 . 646 If the person had delayed medical care 0 . 781 If the person was 18 years old 0 . 604 If the person was 60 years old 0 . 377 If the person had household income less than $ 50 , 000 0 . 596 If the person had household income greater than $ 100 , 000 0 . 413 If the person had household income less than $ 50 , 000 , lost work, and has delayed medical care 0 . 897 If the person had household income greater than $ 100 , 000 , and 3 kids, and was 60 years old 0 . 189

PAGE 11

Drawing Inference ! Consider a ! 35 year old ! no kids ! not lost work, ! no delayed medical care ! household income of $60,000. Scenario Estimated probability of feeling depressed several days or more Default 0 . 512 If the person had 3 kids 0 . 376 If the person lost work 0 . 646 If the person had delayed medical care 0 . 781 If the person was 18 years old 0 . 604 If the person was 60 years old 0 . 377 If the person had household income less than $ 50 , 000 0 . 596 If the person had household income greater than $ 100 , 000 0 . 413 If the person had household income less than $ 50 , 000 , lost work, and has delayed medical care 0 . 897 If the person had household income greater than $ 100 , 000 , and 3 kids, and was 60 years old 0 . 189

PAGE 12

Drawing Inference ! Consider a ! 35 year old ! no kids ! not lost work, ! no delayed medical care ! household income of $60,000. Scenario Estimated probability of feeling depressed several days or more Default 0 . 512 If the person had 3 kids 0 . 376 If the person lost work 0 . 646 If the person had delayed medical care 0 . 781 If the person was 18 years old 0 . 604 If the person was 60 years old 0 . 377 If the person had household income less than $ 50 , 000 0 . 596 If the person had household income greater than $ 100 , 000 0 . 413 If the person had household income less than $ 50 , 000 , lost work, and has delayed medical care 0 . 897 If the person had household income greater than $ 100 , 000 , and 3 kids, and was 60 years old 0 . 189

PAGE 13

Conclusion We should consider age, delayed medical care, and number of people in the household (in addition to income and work loss) while allocating mental health resources during the pandemic.

PAGE 14

Thank You! Project: How are Coloradans Coping with Covid 19? Presenter: Nick Koprowicz Email: Nicholas.koprowicz@ucdenver.edu