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Volume 26, Number 9—September 2020
Dispatch

Updated Estimates of Chronic Conditions Affecting Risk for Complications from Coronavirus Disease, United States

Mary L. AdamsComments to Author , David L. Katz, and Joseph Grandpre
Author affiliations: On Target Health Data LLC, Suffield, Connecticut, USA (M.L. Adams); True Health Initiative, Derby, Connecticut, USA (D.L. Katz); Wyoming Department of Health, Cheyenne, Wyoming, USA; (J. Grandpre)

Main Article

Table 1

Comparison of population demographics for 2 studies of chronic conditions affecting risk for complications from coronavirus disease, United States*

Population group Previous % Previous 95% CI Updated % Updated 95% CI Updated sample size
Total
45.4
45.1–45.7
56.0
55.7–56.3
398,865
Sex
M 45.4 44.9–45.9 56.7 56.2–57.2 183,097
F
45.4
45.0–45.9
55.3
54.8–55.8
215,768
Age, y
18–29 19.8 19.1–20.4 33.7 32.9–34.5 42,434
30–39 26.8 26.0–27.5 45.0 44.2–45.9 44,676
40–49 38.1 37.3–39.0 53.6 52.7–54.5 49,449
50–59 55.1 54.3–55.9 63.4 62.6–64.1 73,839
60–69 68.0 67.3–68.6 71.4 70.8–72.1 90,088
70–79 79.5 78.7–80.2 78.8 78.0–79.6 63,627
>80
80.7
79.5–81.8
79.1
77.9–80.2
31,915
Race/ethnicity
White (non-Hispanic) 48.0 47.7–48.4 56.7 56.3–57.0 307,282
Black 52.1 51.1–53.1 65.8 64.7–66.8 31,939
Hispanic 35.5 34.5–36.5 52.3 51.2–53.5 26,837
American Indian/Alaska Native 55.5 52.9–58.1 67.7 65.3–70.1 7,468
Asian/Pacific Islander 27.8 25.9–29.7 34.1 32.1–36.3 9,108
Other
46.5
44.5–48.4
57.0
55.0–59.0
10,089
Employment
Employed/self-employed 35.4 35.0–35.8 49.2 48.7–49.6 201,050
Out of work 47.0 45.5–48.5 59.2 57.7–60.7 17,003
Homemaker 39.6 38.2–41.0 52.7 51.1–54.3 19,710
Student 18.1 16.9–19.4 28.1 26.6–29.7 10,804
Retired 75.7 75.1–76.3 76.3 75.6–76.9 119,720
Unable to work
79.3
78.3–80.3
84.5
83.6–85.4
28,472
Insurance status
Insured 47.1 46.8–47.5 56.9 56.5–57.2 367,956
Uninsured
33.4
32.4–34.4
50.1
48.9–51.2
29,804
State
AL 54.2 52.6–55.9 65.6 63.9–67.3 6,083
AK 43.6 40.7–46.5 56.5 53.4–59.5 2,961
AZ 44.6 43.6–45.6 55.5 54.4–56.6 13,824
AR 53.3 50.7–55.8 65.1 62.5–67.7 4,713
CA 41.0 39.6–42.4 50.2 48.7–51.7 8,304
CO 40.0 38.8–41.2 47.6 46.3–48.9 8,812
CT 45.0 43.7–46.3 54.0 52.5–55.4 9,302
DE 48.7 46.5–50.9 59.2 56.9–61.5 3,554
DC 38.3 36.4–40.1 45.6 43.5–47.6 4,012
FL 46.9 45.4–48.5 57.4 55.7–59.0 19,402
GA 45.6 44.0–47.2 57.3 55.5–59.1 5,247
HI 44.0 42.5–45.5 52.5 50.9–54.1 7,226
ID 42.6 40.7–44.5 53.3 51.2–55.3 4,535
IL 44.9 43.3–46.6 56.8 55.1–58.6 5,208
IN 48.7 47.5–49.8 59.7 58.5–60.9 12,676
IA 44.9 43.6–46.2 58.6 57.2–59.9 6,991
KS 45.9 45.1–46.8 58.0 57.1–58.9 19,304
KY 53.2 51.5–55.0 62.7 60.9–64.5 7,826
LA 51.6 49.7–53.5 61.9 60.0–63.9 4,328
ME 49.9 48.3–51.5 58.4 56.8–60.0 9,141
MD 44.9 43.5–46.2 56.4 55.0–57.9 12,056
MA 43.4 41.5–45.4 52.1 50.1–54.2 6,086
MI 49.4 48.2–50.6 59.4 58.1–60.6 9,863
MN 38.8 37.9–39.7 49.9 48.9–50.9 15,155
MS 51.9 49.8–54.0 63.3 61.1–65.5 4,627
MO 46.2 44.6–47.8 57.9 56.2–59.5 6,828
MT 44.0 42.3–45.8 51.4 49.5–53.3 5,409
NE 43.4 42.2–44.6 56.6 55.3–57.9 14,059
NV 46.1 43.7–48.5 55.9 53.3–58.4 3,427
NH 45.9 44.0–47.8 54.5 52.4–56.6 5,077
NJ 45.6 44.0–47.1 55.2 53.5–56.8 10,160
NM 45.3 43.5–47.0 56.1 54.3–58.0 5,908
NY 42.2 41.0–43.4 51.5 50.2–52.8 10,937
NC 47.5 45.6–49.3 59.2 57.2–61.1 4,386
ND 42.0 40.5–43.6 55.4 53.7–57.1 6,430
OH 48.3 46.9–49.6 59.4 58.0–60.8 11,138
OK 50.7 49.0–52.3 62.7 61.0–64.4 5,891
OR 44.7 43.1–46.3 54.7 53.0–56.4 4,757
PA 47.8 46.2–49.5 57.3 55.6–59.0 6,022
RI 47.8 45.9–49.8 56.9 54.8–58.9 4,987
SC 49.9 48.6–51.3 61.6 60.2–63.0 10,191
SD 43.3 41.2–45.5 55.2 52.9–57.5 6,382
TN 51.1 49.3–53.0 61.1 59.2–63.0 5,215
TX 43.7 41.8–45.5 56.5 54.5–58.4 10,972
UT 37.3 36.2–38.5 47.4 46.1–48.7 9,115
VT 45.8 44.1–47.5 54.2 52.4–56.0 5,852
VA 45.2 43.8–46.6 55.8 54.3–57.3 8,630
WA 44.0 42.9–45.1 53.6 52.4–54.8 11,694
WV 58.7 57.0–60.4 68.8 67.1–70.5 4,999
WI 43.9 42.1–45.7 55.4 53.5–57.3 5,269
WY
44.0
42.2–45.9
53.6
51.7–55.6
4,084
Census region
Northeast NI NI 54.0 53.3–54.8 67,564
Midwest NI NI 57.4 56.9–58.0 119,303
South NI NI 58.9 58.3–59.5 122,132
West
NI
NI
51.6
50.8–52.4
90,056
Risk factors
Ever smoked
Yes NI NI 64.3 63.8–64.8 170,149
No NI NI 50.5 50.0–51.0 219,779
Sedentary lifestyle
Yes NI NI 67.8 67.2–68.5 100,438
No NI NI 52.3 51.9–52.7 276,037
Eat <5 times/day
Yes NI NI 57.0 56.6–57.4 300,938
No
NI
NI
50.0
49.0–50.9
58,286
No. risk factors
0 NI NI 42.8 41.6–44.0 31,529
1 NI NI 48.9 48.4–49.5 146,808
2 NI NI 62.1 61.5–62.7 133,833
3 NI NI 73.2 72.3–74.1 43,147

*Previous results were based on mortality data from China (1), and underlying conditions include cardiovascular disease, diabetes, chronic obstructive pulmonary disease, asthma, hypertension, or cancer other than skin. Updated results are based on US hospitalization data (2), and obesity is substituted for cancer as an underlying condition. Sample size in previous study was slightly larger than that for the updated study. NI, results of analysis that were not included in the original study.

Main Article

References
  1. Adams  ML, Katz  DL, Grandpre  J. Population-based estimates of chronic conditions affecting risk for complications from coronavirus disease, United States. Emerg Infect Dis. 2020;26: Epub ahead of print. DOIPubMed
  2. Garg  S, Kim  L, Whitaker  M, O’Halloran  A, Cummings  C, Holstein  R, et al. Hospitalization rates and characteristics of patients hospitalized with laboratory-confirmed coronavirus disease 2019—COVID-NET, 14 States, March 1–30, 2020. MMWR Morb Mortal Wkly Rep. 2020;69:45864. DOIPubMed
  3. Behavioral Risk Factor Surveillance System (BRFSS). Survey data and documentation [cited 2020 Mar 3]. https://www.cdc.gov/brfss/data_documentation/index.htm
  4. US Census Bureau. Geographic terms and concepts: census divisions and census regions [cited 2020 Jan 27]. https://www.census.gov/geo/reference/gtc/gtc_census_divreg.html
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  7. Adams  ML, Grandpre  J, Katz  DL, Shenson  D. The impact of key modifiable risk factors on leading chronic conditions. Prev Med. 2019;120:1138. DOIPubMed
  8. Adams  ML, Grandpre  J, Katz  DL, Shenson  D. Linear association between number of modifiable risk factors and multiple chronic conditions: Results from the Behavioral Risk Factor Surveillance System. Prev Med. 2017;105:16975. DOIPubMed
  9. Centers for Disease Control and Prevention. Overweight and obesity: obesity prevalence maps, 2018 [cited 2020 Apr 29]. https://www.cdc.gov/obesity/data/prevalence-maps.html
  10. Centers for Disease Control and Prevention. National Center for Health Statistics; Nursing Home Care [cited 2020 Jun 16]. https://www.cdc.gov/nchs/fastats/nursing-home-care.htm
  11. Pierannunzi  C, Hu  SS, Balluz  L. A systematic review of publications assessing reliability and validity of the Behavioral Risk Factor Surveillance System (BRFSS), 2004-2011. BMC Med Res Methodol. 2013;13:49. DOIPubMed

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Page created: June 18, 2020
Page updated: August 19, 2020
Page reviewed: August 19, 2020
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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