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      Characteristics Associated with Adults Remembering to Wash Hands in Multiple Situations Before and During the COVID-19 Pandemic — United States, October 2019 and June 2020

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          Abstract

          Washing hands often, especially during times when one is likely to acquire and spread pathogens,* is one important measure to help prevent the spread of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), as well as other pathogens spread by respiratory or fecal-oral transmission ( 1 , 2 ). Studies have reported moderate to high levels of self-reported handwashing among adults worldwide during the COVID-19 pandemic ( 3 – 5 ) † ; however, little is known about how handwashing behavior among U.S. adults has changed since the start of the pandemic. For this study, survey data from October 2019 (prepandemic) and June 2020 (during pandemic) were compared to assess changes in adults’ remembering to wash their hands in six situations. § Statistically significant increases in reported handwashing were seen in June 2020 compared with October 2019 in four of the six situations; the odds of remembering to wash hands was 2.3 times higher among respondents after coughing, sneezing, or blowing their nose, 2.0 times higher before eating at a restaurant, and 1.7 times higher before eating at home. Men, young adults aged 18–24 years, and non-Hispanic White (White) adults were less likely to remember to wash hands in multiple situations. Strategies to help persons remember to wash their hands frequently and at important times should be identified and implemented, especially among groups reporting low prevalence of remembering to wash their hands. Data from ConsumerStyles fall and summer surveys conducted by Porter Novelli Public Services in October 2019 and June 2020 were analyzed for this study. ¶ These data are collected by Porter Novelli Public Services through Ipsos’ Knowledge Panel, an online market research panel. This panel is designed to be representative of the noninstitutionalized U.S. population, and panel members are recruited randomly by mail through probability, address-based sampling. Respondents receive points for participating in the panel, which can be used to redeem cash and prizes. The samples from each year were weighted to match the U.S. population across eight characteristics: sex, age, annual household income, race/ethnicity, household size, education, U.S. Census division, and residence in a metropolitan area. Sampling weights were applied to all analyses. The fall 2019 ConsumerStyles survey was completed by 3,624 participants during October 8–22, 2019, (77.5% response rate); the summer 2020 ConsumerStyles survey was completed by 4,053 participants during June 10–25, 2020, (62.7% response rate). The same handwashing question was asked in both surveys: “In which of these situations/settings are you most likely to remember to wash your hands?” with the following response options provided in a randomized order to each participant: 1) after using the bathroom at home; 2) after using the bathroom in public; 3) after coughing, sneezing, or blowing one’s nose; 4) before eating at home; 5) before eating at a restaurant; and 6) before preparing food at home. Participants were asked to select all options for which they would be likely to remember to wash their hands and could choose as many of the six response options as were applicable. In addition to handwashing, collected data included information about demographic characteristics, household size, annual household income, employment status, and perceived health status. Differences in percentages from 2019 to 2020 were considered statistically significant when confidence intervals were not overlapping. Multivariable logistic regression was used to estimate odds ratios (ORs) for the association between remembering to wash hands and year, adjusting for sex, age group, race/ethnicity, health status, U.S. Census division, annual household income, work status, education, metro status, household size, and marital status. All analyses were performed using Stata (Version 15; Stata Corp LP). The 2019 and 2020 populations were similar in composition across all demographic and socioeconomic characteristics. Respondents frequently reported remembering to wash hands before preparing food at home in 2019 (86.5%) and 2020 (85.7%) (Table 1), after using the bathroom at home (85.9% and 89.6%), and after using the bathroom in public (95.5% and 94.8%) (Table 2). Respondents less commonly reported remembering to wash hands before eating at home in 2019 (62.8%) and 2020 (74.4%), before eating at a restaurant (55.2% and 70.6%), and after coughing, sneezing, or blowing their nose (53.3% and 71.2%). TABLE 1 Percentage of respondents who reported remembering to wash their hands before eating at home, before eating at a restaurant, and before preparing food at home, before and during the COVID-19 pandemic, by selected characteristics — ConsumerStyles fall and summer surveys, United States, October 2019 and June 2020* Characteristic Weighted % (95% CI) Before eating at home Before eating at a restaurant Before preparing food at home 2019 2020 2019 2020 2019 2020 Overall 62.8 (60.9–64.6) 74.4 (72.7–76.1) 55.2 (53.3–57.1) 70.6 (68.9–72.4) 86.5 (85.2–87.8) 85.7 (84.3–87.1) Sex Women 63.9 (61.2–66.5) 75.3 (72.9–77.6) 56.5 (53.8–59.2) 73.2 (70.8–78.6) 89.9 (88.2–91.6) 89.6 (87.8–91.5) Men 61.6 (59.0–64.2) 73.5 (71.1–75.9) 53.9 (51.2–56.6) 67.9 (65.4–70.5) 82.9 (80.9–84.9) 81.5 (79.3–83.7) Age group (yrs) 18–24 62.3 (53.9–70.7) 70.8 (61.8–78.6) 50.8 (42.2–59.5) 65.2 (56.3–74.0) 85.2 (79.1–91.3) 77.0 (69.1–84.9) 25–34 56.3 (51.5–61.2) 66.7 (62.3–71.2) 50.8 (46.0–55.7) 65.6 (61.1–70.1) 84.5 (81.0–88.0) 81.8 (78.1–85.5) 35–44 62.0 (57.6–66.4) 72.0 (68.3–75.7) 55.4 (50.8–60.0) 69.3 (65.5–73.1) 85.3 (82.2–88.4) 85.2 (82.2–88.2) 45–54 65.5 (61.4–69.7) 75.6 (71.9–79.2) 60.4 (56.1–64.7) 75.0 (71.4–78.6) 87.9 (85.1–90.8) 88.4 (85.7–91.1) 55–64 69.1 (65.9–72.3) 81.1 (78.4–83.8) 61.7 (58.3–65.1) 75.1 (72.1–78.2) 89.6 (87.3–91.8) 90.9 (88.8–92.9) 65–74 61.5 (57.6–65.3) 78.8 (75.5–82.0) 53.5 (49.5–57.5) 74.0 (70.6–77.5) 87.6 (84.9–90.4) 87.8 (85.2–90.3) ≥75 62.6 (57.3–68.0) 78.8 (73.7–84.0) 48.6 (43.0–54.2) 67.2 (61.2–72.7) 83.8 (79.6–88.0) 87.8 (83.5–92.0) Race/Ethnicity White, NH 58.0 (55.8–60.1) 71.9 (69.9–73.9) 50.6 (48.4–52.8) 68.6 (66.5–70.7) 86.9 (85.5–88.3) 86.0 (84.4–87.5) Black, NH 76.6 (71.1–82.1) 80.6 (75.5–85.8) 64.9 (58.7–71.2) 75.1 (69.7–80.4) 86.6 (81.9–91.2) 85.6 (80.9–90.4) Other, NH 69.0 (61.3–76.7) 81.2 (75.1–87.4) 61.7 (53.7–69.8) 79.0 (72.7–85.2) 84.7 (79.0–90.4) 81.5 (74.5–88.4) Hispanic or Latino 69.0 (63.7–74.4) 75.9 (71.1–80.6) 62.7 (57.1–68.3) 70.9 (65.8–76.0) 85.8 (81.6–90.0) 86.2 (82.1–90.2) Multiracial, NH 58.7 (47.7–69.8) 84.8 (76.2–93.4) 63.6 (52.9–74.3) 78.0 (69.1–87.0) 85.9 (73.0–93.2) 91.1 (84.6–97.5) Health status† Excellent 66.6 (60.8–72.3) 76.3 (71.3–81.3) 55.6 (49.3–61.9) 70.7 (65.1–76.3) 86.5 (82.3–90.6) 88.8 (85.3–92.4) Very good 65.4 (62.5–68.3) 75.0 (72.4–77.7) 58.5 (55.5–61.5) 71.7 (68.9–74.4) 88.2 (86.2–90.2) 86.1 (83.8–88.4) Good 60.6 (57.5–63.7) 75.2 (72.5–77.9) 53.2 (50.0–56.4) 71.3 (68.4–74.1) 86.1 (83.8–88.4) 84.7 (82.3–87.0) Fair 56.7 (51.4–61.9) 70.6 (65.3–75.4) 52.7 (47.4–57.9) 67.1 (62.0–72.2) 83.7 (79.8–87.7) 86.3 (82.3–90.2) Poor 66.4 (56.0–76.7) 69.6 (58.7–80.5) 49.6 (38.6–60.7) 69.6 (58.7–80.4) 82.8 (74.3–91.4) 80.9 (70.8–91.3) U.S. Census division New England 49.5 (40.8–58.1) 73.9 (66.7–81.0) 45.3 (36.7–53.5) 73.4 (66.7–80.1) 87.2 (81.8–92.7) 88.7 (84.4–93.0) Mid-Atlantic 65.6 (60.7–70.4) 73.4 (68.6–78.1) 57.4 (52.3–62.5) 69.8 (65.0–74.6) 87.9 (84.8–91.0) 87.8 (80.5–89.0) East-North Central 55.0 (50.1–59.8) 75.0 (70.8–79.2) 44.7 (39.8–49.5) 69.4 (65.0–73.8) 83.2 (79.5–87.0) 84.7 (81.2–88.2) West-North Central 56.3 (49.4–63.3) 62.1 (55.0–69.2) 51.2 (44.3–58.2) 66.6 (59.8–73.4) 83.5 (77.9–89.0) 83.0 (77.0–89.0) South Atlantic 66.6 (62.7–70.6) 74.8 (71.0–78.5) 59.0 (54.9–63.2) 71.1 (67.2–75.0) 88.3 (85.6–91.0) 82.9 (79.3–86.4) East-South Central 63.9 (56.1–71.6) 74.5 (66.9–82.1) 58.1 (49.9–66.3) 69.6 (61.3–77.9) 86.6 (80.9–92.2) 86.3 (79.9–92.6) West-South Central 69.4 (63.9–75.0) 77.1 (72.4–81.7) 59.5 (53.6–65.3) 73.3 (68.3–78.4) 84.5 (80.0–89.0) 87.0 (83.2–90.8) Mountain 59.6 (52.6–66.5) 71.5 (64.9–78.0) 54.5 (47.3–61.6) 68.6 (62.0–75.2) 87.4 (82.9–91.9) 88.5 (83.9–93.1) Pacific 64.6 (59.9–69.3) 78.2 (74.2–82.2) 58.6 (53.7–63.4) 71.7 (67.3–76.1) 88.1 (84.9–91.4) 88.7 (85.3–92.0) Annual household income (US$) <25,000 63.2 (57.8–68.5) 73.1 (67.7–78.4) 55.5 (50.0–61.0) 64.9 (59.3–70.6) 81.4 (76.9–85.9) 77.6 (72.3–83.0) 25,000–49,999 66.3 (62.0–70.6) 75.8 (71.6–79.9) 60.1 (55.5–64.7) 71.5 (67.1–76.0) 90.2 (87.9–92.6) 84.4 (80.7–88.2) 50,000–74,999 63.1 (58.6–67.5) 76.0 (72.0–80.1) 54.6 (50.0–59.3) 69.8 (65.5–74.0) 86.8 (83.8–89.8) 87.4 (84.2–90.5) 75,000–99,999 63.7 (58.9–68.5) 73.4 (69.0–77.8) 53.3 (48.3–58.4) 72.7 (68.2–77.3) 89.4 (86.3–92.6) 86.9 (83.5–90.2) 100,000–149,999 58.9 (54.7–63.1) 72.7 (69.0–76.4) 52.9 (48.6–57.2) 72.8 (69.3–76.3) 87.1 (84.2–89.9) 89.1 (86.5–91.6) ≥150,000 63.2 (58.0–68.4) 73.1 (68.6–77.7) 55.0 (49.6–60.4) 74.2 (69.7–78.8) 83.0 (78.6–87.3) 86.7 (83.0–90.4) Work status § Working 62.3 (59.9–65.6) 73.7 (71.6–75.9) 55.6 (53.2–58.0) 70.8 (68.6–73.0) 86.2 (84.5–87.9) 85.8 (84.1–87.6) Not working 63.3 (58.3–68.4) 71.1 (66.2–75.9) 55.4 (50.2–60.6) 68.8 (63.7–73.8) 88.1 (84.7–91.5) 82.6 (78.2–87.0) Retired 63.9 (60.6–67.2) 79.6 (76.8–82.4) 53.7 (50.2–57.1) 71.7 (68.6–74.8) 85.9 (83.5–88.4) 88.1 (85.8–90.4) Education Less than high school 64.0 (56.8–71.1) 72.9 (66.2–76.7) 53.7 (46.2–61.2) 65.9 (58.8–73.1) 85.0 (80.1–89.8) 79.9 (73.7–86.1) High school 65.5 (62.0–69.0) 77.5 (74.4–80.5) 59.2 (55.6–62.8) 72.1 (68.8–75.4) 87.6 (85.2–90.0) 85.9 (83.2–88.6) Some college 64.9 (61.6–68.3) 74.0 (70.7–77.3) 56.7 (53.1–60.2) 71.4 (68.0–74.8) 87.2 (84.6–89.8) 85.3 (82.4–88.1) Bachelor’s degree or higher 58.0 (55.1–60.9) 75.6 (70.1–75.1) 51.0 (48.0–53.9) 70.2 (67.7–72.7) 85.5 (83.4–87.6) 87.7 (85.9–89.5) Metro status ¶ Non-metro 64.2 (59.3–69.0) 69.3 (64.4–74.2) 53.2 (48.0–58.3) 65.2 (60.0–70.4) 88.7 (85.5–91.8) 82.7 (78.4–86.9) Metro 62.6 (60.6–64.5) 75.2 (73.4–77.0) 55.6 (53.5–57.6) 71.5 (69.6–73.3) 86.2 (84.7–87.6) 86.2 (84.7–87.7) Household size 1 59.9 (56.1–63.8) 75.7 (72.1–79.3) 53.6 (49.7–57.5) 69.0 (65.2–72.9) 84.7 (82.0–87.5) 81.5 (77.9–85.2) 2 61.0 (58.2–63.7) 74.5 (72.0–77.1) 54.7 (51.8–57.5) 70.6 (67.9–73.2) 56.9 (85.0–88.9) 87.0 (84.9–89.0) 3 62.0 (57.4–66.6) 74.7 (70.5–78.9) 51.9 (47.2–56.6) 70.0 (65.6–74.7) 86.2 (82.9–89.4) 84.6 (80.8–88.5) 4 63.1 (57.9–68.2) 72.0 (67.5–76.5) 58.3 (53.0–63.5) 73.6 (69.3–78.0) 88.0 (84.4–91.6) 88.4 (85.3–94.5) ≥5 70.4 (65.1–75.8) 75.2 (70.2–80.2) 58.9 (53.0–64.7) 69.7 (64.3–75.1) 86.0 (82.0–90.1) 85.1 (80.7–89.6) Marital status Married/Living with partner 63.3 (61.2–65.4) 75.7 (73.9–77.6) 55.9 (53.7–58.1) 72.3 (70.4–74.2) 87.9 (86.4–89.3) 86.9 (85.4–88.5) Single 61.9 (58.4–65.3) 72.2 (69.0–75.4) 54.1 (50.6–57.7) 67.9 (64.5–71.3) 84.3 (81.7–86.8) 83.7 (80.9–86.5) Abbreviations: CI = confidence interval; NH = non-Hispanic. * Surveys were conducted during October 8–22, 2019 (N = 3,624), and June 10–25, 2020 (N = 4,053). † Health status was self-reported. Participants answered the question, “In general, would you say your health is…?” and were instructed to choose one answer. § Work status was defined as working (as a paid employee or self-employed); not working (looking for work, on temporary layoff from a job, disabled, or other); and not working, retired. ¶ Metro status was defined by U.S. Office of Management and Budget core-based statistical area. TABLE 2 Percentage of respondents who reported remembering to wash their hands after using the bathroom at home, after using the bathroom in public and after coughing, sneezing or blowing their nose, before and during the COVID-19 pandemic, by selected characteristics — ConsumerStyles fall and summer surveys, United States, October 2019 and June 2020* Characteristic Weighted % (95% CI) After using the bathroom at home After using the bathroom in public After coughing, sneezing, or blowing nose 2019 2020 2019 2020 2019 2020 Overall 85.9 (84.6–87.2) 89.6 (88.5–90.8) 95.5 (94.6–96.3) 94.8 (93.8–95.8) 53.3 (51.4–55.2) 71.2 (69.5–72.9) Sex Women 88.8 (87.1–90.5) 91.4 (89.8–92.9) 96.5 (95.4–97.6) 94.9 (93.5–96.4) 59.7 (57.0–62.4) 76.6 (74.3–78.9) Men 82.8 (80.7–84.8) 87.8 (86.1–89.6) 94.4 (93.1–95.7) 94.6 (93.3–95.9) 46.4 (43.7–49.1) 65.4 (62.9–68.0) Age group (yrs) 18–24 84.6 (78.5–90.8) 88.0 (82.0–94.0) 95.7 (92.1–99.3) 90.7 (85.2–96.2) 48.4 (39.7–57.1) 70.5 (62.0–78.9) 25–34 81.8 (78.1–85.5) 88.0 (84.9–91.0) 93.6 (91.1–96.2) 94.7 (92.4–97.1) 50.0 (45.1–54.9) 64.0 (59.5–68.6) 35–44 85.8 (82.8–88.8) 86.7 (83.9–89.6) 97.3 (95.7–98.8) 94.1 (91.8–96.4) 54.9 (50.3–59.4) 70.9 (67.2–74.7) 45–54 86.4 (43.5–89.3) 91.1 (88.7–93.5) 94.9 (92.9–96.8) 95.3 (93.4–97.2) 61.4 (57.1–65.7) 73.8 (70.2–77.4) 55–64 89.5 (87.5–91.6) 91.5 (89.7–93.4) 95.9 (94.3–97.4) 96.5 (95.2–97.9) 55.5 (52.0–59.1) 74.6 (71.6–77.6) 65–74 87.3 (84.8–89.9) 91.9 (89.8–94.0) 96.1 (94.5–97.6) 96.7 (95.2–98.2) 51.7 (47.7–55.7) 75.3 (72.0–78.7) ≥75 86.1 (82.2–89.9) 91.1 (87.7–94.4) 95.1 (92.7–97.4) 93.5 (89.6–97.1) 44.0 (38.4–49.6) 69.2 (63.7–74.7) Race/Ethnicity White, NH 84.4 (82.8–85.9) 89.5 (88.1–90.8) 96.4 (95.6–97.1) 96.1 (95.2–97.1) 49.6 (47.4–51.8) 68.9 (66.8–70.9) Black, NH 88.0 (83.6–92.5) 91.3 (87.9–94.8) 93.2 (89.6–96.9) 91.9 (88.4–95.4) 65.5 (59.4–71.6) 83.2 (78.8–87.5) Other, NH 90.0 (85.0–95.1) 89.6 (85.2–94.0) 96.4 (93.5–99.3) 95.7 (92.6–98.8) 50.7 (42.4–59.1) 70.3 (63.1–77.4) Hispanic or Latino 88.8 (85.1–92.5) 89.0 (85.4–92.7) 93.4 (90.5–96.3) 90.8 (87.3–94.4) 60.2 (54.6–65.9) 72.0 (67.0–77.0) Multiracial, NH 82.9 (73.1–92.8) 90.6 (82.8–98.5) 92.7 (86.4–99.1) 99.4 (98.2–100.0) 49.2 (38.5–60.0) 73.5 (62.7–84.3) Health status† Excellent 85.2 (81.0–89.3) 90.1 (86.4–93.9) 95.2 (92.7–97.7) 95.1 (92.1–98.1) 55.6 (49.3–61.9) 71.3 (66.0–76.7) Very Good 87.8 (85.9–89.7) 89.8 (88.0–91.7) 97.2 (96.2–98.2) 96.2 (94.8–97.6) 55.6 (52.6–58.7) 72.1 (69.4–74.8) Good 85.7 (83.3–88.0) 89.6 (87.7–91.6) 94.7 (93.1–96.3) 94.5 (92.9–96.1) 50.9 (47.7–54.2) 71.4 (68.6–74.3) Fair 82.7 (78.6–86.7) 90.6 (87.7–93.5) 94.3 (91.5–97.1) 93.7 (90.9–96.5) 51.6 (46.3–56.8) 69.0 (63.3–73.5) Poor 81.6 (72.5–90.6) 84.3 (76.4–92.3) 89.7 (82.3–97.0) 87.0 (78.6–95.4) 47.2 (36.2–58.2) 69.4 (58.8–80.1) U.S. Census division New England 82.5 (76.0–88.9) 92.3 (88.4–96.3) 95.1 (91.8–98.3) 96.3 (93.9–98.7) 55.7 (47.0–64.4) 77.9 (71.2–84.6) Mid-Atlantic 89.7 (86.5–93.0) 90.6 (87.4–93.7) 96.9 (95.3–98.5) 94.4 (91.7–97.1) 55.5 (50.3–60.8) 72.7 (68.0–77.4) East-North Central 83.9 (80.4–87.4) 92.2 (89.8–94.7) 94.3 (91.9–96.8) 96.6 (94.7–98.5) 49.0 (44.1–53.9) 72.2 (67.9–76.4) West-North Central 79.8 (74.1–85.5) 88.0 (83.5–92.5) 96.6 (93.9–99.4) 96.1 (93.5–98.6) 48.4 (41.4–55.4) 71.6 (65.4–77.8) South Atlantic 86.0 (83.1–88.9) 88.7 (86.1–91.4) 97.1 (95.5–98.7) 94.4 (92.0–96.8) 56.2 (52.1–60.4) 73.2 (69.5–77.0) East-South Central 87.0 (81.7–92.2) 82.4 (76.0–88.7) 96.1 (93.2–99.0) 91.5 (86.3–96.7) 60.0 (52.1–68.0) 61.9 (53.2–70.6) West-South Central 85.7 (81.5–89.9) 89.4 (85.7–93.0) 91.2 (87.5–94.8) 94.3 (91.0–97.5) 55.1 (49.2–60.9) 72.0 (66.9–77.1) Mountain 85.7 (80.6–90.1) 90.2 (85.8–94.5) 95.8 (92.9–98.7) 95.3 (92.0–98.7) 45.2 (38.1–52.4) 69.9 (63.5–76.2) Pacific 87.5 (84.3–90.8) 89.7 (86.5–92.8) 95.7 (93.6–97.8) 94.2 (91.6–96.8) 52.8 (47.8–57.7) 67.2 (62.8–71.7) Annual household income (US$) <25,000 82.1 (77.7–86.5) 85.9 (81.7–90.0) 89.8 (86.3–93.4) 85.7 (81.1–90.3) 57.9 (52.5–63.4) 70.2 (64.6–75.8) 25,000–49,999 89.2 (86.5–91.8) 90.2 (87.4–93.0) 96.8 (95.4–98.2) 95.8 (93.6–98.1) 56.0 (51.3–60.6) 73.5 (69.3–77.7) 50,000–74,999 86.2 (83.2–89.2) 91.0 (88.5–93.5) 95.2 (93.1–97.2) 95.5 (93.4–97.5) 54.2 (49.6–58.9) 71.5 (67.3–75.7) 75,000–99,999 87.1 (83.8–90.4) 90.7 (87.8–93.7) 96.2 (94.5–97.9) 95.8 (93.9–97.7) 53.3 (48.3–58.3) 72.6 (68.1–77.1) 100,000–149,999 85.9 (82.9–88.8) 91.7 (88.4–93.0) 97.7 (96.5–98.9) 97.1 (95.7–98.5) 49.8 (45.6–54.1) 70.9 (67.3–74.5) ≥150,000 87.6 (80.5–88.6) 87.8 (84.3–91.2) 96.7 (94.5–99.0) 95.2 (92.5–97.9) 50.3 (44.9–55.8) 72.6 (68.2–77.1) Work status § Working 85.2 (83.5–86.9) 89.3 (87.8–90.8) 95.9 (94.8–96.9) 95.1 (93.9–96.3) 53.2 (50.8–55.6) 70.7 (68.5–72.8) Not working 86.4 (82.9–89.9) 88.0 (84.5–91.5) 94.8 (92.5–97.1) 93.0 (90.1–95.9) 56.4 (51.2–61.7) 70.7 (65.9–75.6) Retired 87.7 (85.4–90.0) 92.2 (90.4–94.0) 94.9 (93.4–96.5) 95.4 (93.6–97.1) 50.3 (46.8–53.8) 73.5 (70.4–76.5) Education Less than high school 85.9 (81.2–90.7) 88.0 (82.3–92.4) 90.5 (86.5–94.4) 87.8 (82.6–93.1) 58.2 (50.8–65.7) 71.6 (64.7–78.5) High school 87.7 (85.3–90.1) 90.3 (88.1–92.5) 94.5 (92.8–96.3) 92.9 (90.8–95.0) 59.1 (55.5–62.7) 75.3 (72.1–78.4) Some college 85.5 (82.8–88.1) 89.0 (86.6–91.3) 96.0 (94.5–97.5) 96.2 (94.7–97.7) 53.0 (49.4–56.6) 72.5 (69.1–78.8) Bachelor’s degree or higher 84.7 (82.6–86.7) 90.4 (88.8–91.9) 97.5 (96.6–98.4) 97.3 (96.4–98.3) 46.7 (43.8–49.7) 66.7 (64.1–69.3) Metro status ¶ Non-metro 82.4 (78.5–86.2) 86.4 (82.7–90.0) 96.6 (95.0–98.3) 94.5 (91.5–97.4) 52.3 (47.2–57.4) 68.7 (63.6–73.7) Metro 86.5 (85.4–87.9) 90.2 (88.9–91.4) 95.3 (94.4–96.2) 94.8 (93.8–95.9) 53.4 (51.4–55.5) 71.6 (69.8–73.4) Household size 1 84.4 (81.6–87.3) 87.0 (84.0–89.9) 94.3 (92.5–96.2) 92.9 (90.4–95.4) 51.1 (47.2–55.0) 69.5 (65.6–73.4) 2 85.1 (83.1–87.1) 89.7 (87.9–91.5) 96.2 (95.1–97.3) 95.5 (93.9–97.0) 51.3 (48.5–54.1) 71.2 (68.6–73.8) 3 86.3 (83.1–89.6) 90.2 (87.2–93.2) 93.4 (90.7–96.1) 94.6 (92.0–97.1) 54.4 (49.2–59.1) 72.6 (68.5–76.8) 4 85.7 (81.9–89.6) 90.6 (88.0–93.3) 95.4 (93.1–97.8) 96.1 (94.1–98.0) 54.8 (49.4–60.1) 71.9 (67.3–76.5) ≥5 88.8 (85.2–92.5) 90.3 (86.7–93.8) 97.6 (96.0–99.1) 94.0 (90.9–97.0) 56.6 (50.2–62.8) 70.5 (65.2–75.8) Marital status Married/Living with partner 86.2 (84.7–87.7) 90.1 (88.8–91.4) 96.0 (95.0–96.9) 95.9 (94.9–96.9) 54.0 (51.8–56.2) 71.5 (69.6–73.5) Single 85.4 (83.0–87.9) 88.9 (86.6–91.1) 94.7 (93.1–96.3) 93.0 (90.9–95.0) 52.1 (48.6–55.7) 70.7 (67.4–73.9) Abbreviations: CI = confidence interval; NH = non-Hispanic. * Surveys were conducted during October 8–22, 2019 (N = 3,624), and June 10–25, 2020 (N = 4,053). † Health status was self-reported. Participants answered the question, “In general, would you say your health is…?” and were instructed to choose one answer. § Work status was defined as working (as a paid employee or self-employed); not working (looking for work, on temporary layoff from a job, disabled, or other); and not working, retired. ¶ Metro status was defined by U.S. Office of Management and Budget core-based statistical area. In 2020, both men and women more frequently reported remembering to wash hands before eating at home and at a restaurant, and after coughing, sneezing, or blowing their nose than they did in 2019. When stratified by age group, a higher percentage of young adults (aged 18–24 years) in 2020 reported remembering to wash hands after having respiratory symptoms compared with 2019, and higher percentages of adults aged ≥25 years reported remembering to wash hands before eating at home and in a restaurant and after having respiratory symptoms in 2020 than did in 2019. In 2020, White participants more frequently reported remembering to wash hands before eating at home, before eating in a restaurant, after using the bathroom at home, and after having respiratory symptoms than they did in 2019. Non-Hispanic Black (Black) and Hispanic or Latino (Hispanic) participants more frequently reported remembering to wash hands after having respiratory symptoms in 2020 than they did in 2019. Compared with 2019 responses, the odds of reporting remembering to wash hands before eating at home, before eating in a restaurant, after using the bathroom at home, and after coughing, sneezing, or blowing one’s nose were significantly higher in 2020, after controlling for demographic and socioeconomic factors (aOR = 1.72, 2.01, 1.41, and 2.28, respectively) (Table 3). Regardless of year, men were significantly less likely than were women to remember to wash hands before eating at a restaurant, before preparing food, after using the bathroom at home, and after experiencing respiratory symptoms. In addition, young adults (aged 18–24 years) were less likely to remember to wash their hands before eating in a restaurant, before food preparation, and after having respiratory symptoms than were adults aged 45–74 years. Finally, compared with White participants, Black participants were more likely to remember to wash their hands before eating at home, before eating in a restaurant, after using the bathroom at home, and after experiencing respiratory symptoms. Hispanic participants were more likely than were White participants to remember to wash their hands before eating at home, before eating at a restaurant, and after experiencing respiratory symptoms, regardless of year. TABLE 3 Odds of remembering to wash hands before and after six situations, by respondent characteristics — ConsumerStyles fall and summer surveys — United States, October 2019 and June 2020* Characteristic aOR (95% CI) Before eating at home Before eating at a restaurant Before preparing food at home After using the bathroom at home After using the bathroom in public After coughing, sneezing, or blowing nose Overall, year 2019 Referent Referent Referent Referent Referent Referent 2020 1.72 (1.56–1.89) 2.01 (1.84–2.20) 0.90 (0.78–1.03) 1.41 (1.24–1.60) 0.79 (0.63–0.98) 2.28 (2.08–2.50) Sex Women Referent Referent Referent Referent Referent Referent Men 0.94 (0.82–1.06) 0.85 (0.75–0.96) 0.53 (0.44–0.63) 0.67 (0.56–0.80) 0.84 (0.62–1.13) 0.58 (0.51–0.66) Age group (yrs) 18–24 Referent Referent Referent Referent Referent Referent 25–34 0.86 (0.61–1.19) 1.04 (0.75–1.43) 1.26 (0.83–1.92) 0.91 (0.58–1.42) 1.12 (0.56–2.26) 1.02 (0.74–1.42) 35–44 1.09 (0.78–1.52) 1.25 (0.90–1.72) 1.46 (0.95–2.25) 0.97 (0.62–1.54) 1.33 (0.64–2.76) 1.38 (0.99–1.93) 45–54 1.29 (0.92–1.81) 1.56 (1.13–2.16) 1.83 (1.19–2.83) 1.29 (0.81–2.04) 1.35 (0.65–2.81) 1.71 (1.23–2.38) 55–64 1.79 (1.29–2.50) 1.72 (1.25–2.38) 2.53 (1.63–3.94) 1.66 (1.05–2.62) 1.94 (0.90–4.21) 1.54 (1.11–2.13) 65–74 1.34 (0.93–1.92) 1.51 (1.06–2.13) 2.01 (1.23–2.37) 1.39 (0.85–2.26) 2.17 (0.95–4.96) 1.44 (1.01–2.05) ≥75 1.43 (0.95–2.14) 1.14 (0.78–1.67) 1.74 (1.02–2.95) 1.31 (0.76–2.25) 1.34 (0.55–3.27) 1.12 (0.76–1.65) Race/Ethnicity White, NH Referent Referent Referent Referent Referent Referent Black, NH 2.00 (1.56–2.55) 1.60 (1.29–1.99) 1.05 (0.77–1.42) 1.39 (1.01–1.92) 0.61 (0.40–0.92) 2.00 (1.59–2.51) Other, NH 1.64 (1.19–2.26) 1.60 (1.19–2.14) 0.63 (0.43–0.91) 1.26 (0.81–1.95) 0.73 (0.39–1.40) 1.11 (0.82–1.49) Hispanic or Latino 1.34 (1.09–1.66) 1.32 (1.08–1.62) 0.96 (0.72–1.27) 1.20 (0.88–1.62) 0.59 (0.40–0.88) 1.39 (1.14–1.71) Multiracial, NH 1.37 (0.92–2.03) 1.50 (1.04–2.18) 1.11 (0.61–2.03) 0.91 (0.50–1.64) 1.10 (0.41–2.94) 1.12 (0.78–1.60) Health status † Excellent Referent Referent Referent Referent Referent Referent Very good 0.90 (0.71–1.15) 1.01 (0.80–1.27) 0.86 (0.62–1.20) 1.07 (0.78–1.46) 1.33 (0.76–2.34) 0.92 (0.73–1.17) Good 0.72 (0.57–0.92) 0.84 (0.67–1.07) 0.73 (0.52–1.02) 0.93 (0.67–1.29) 0.99 (0.57–1.73) 0.75 (0.59–0.96) Fair 0.55 (0.41–0.72) 0.73 (0.56–0.97) 0.72 (0.49–1.05) 0.81 (0.55–1.18) 1.08 (0.82–2.01) 0.62 (0.47–0.82) Poor 0.67 (0.44–1.04) 0.78 (0.51–1.20) 0.69 (0.39–1.22) 0.68 (0.38–1.22) 0.65 (0.29–1.48) 0.63 (0.41–0.96) U.S. Census division New England Referent Referent Referent Referent Referent Referent Mid-Atlantic 1.34 (0.97–1.85) 1.17 (0.85–1.61) 0.87 (0.56–1.39) 1.30 (0.81–2.10) 1.04 (0.53–2.06) 0.82 (0.59–1.14) East-North Central 1.06 (0.77–1.44) 0.89 (0.66–1.21) 0.68 (0.44–1.05) 1.03 (0.67–1.60) 1.12 (0.59–2.14) 0.65 (0.48–0.90) West-North Central 0.85 (0.60–1.21) 1.00 (0.71–1.41) 0.59 (0.36–0.98) 0.78 (0.48–1.26) 1.05 (0.49–2.25) 0.69 (0.49–0.99) South Atlantic 1.31 (0.96–1.78) 1.22 (0.90–1.64) 0.78 (0.50–1.20) 0.94 (0.61–1.44) 1.15 (0.59–2.24) 0.75 (0.55–1.03) East-South Central 1.25 (0.85–1.83) 1.19 (0.82–1.74) 0.88 (0.52–1.51) 0.77 (0.46–1.29) 0.79 (0.37–1.68) 0.65 (0.44–0.96) West-South Central 1.50 (1.07–2.10) 1.24 (0.89–1.73) 0.83 (0.53–1.31) 0.93 (0.59–1.49) 0.83 (0.44–1.59) 0.70 (0.50–0.98) Mountain 1.08 (0.75–1.53) 1.08 (0.76–1.53) 1.00 (0.61–1.65) 1.01 (0.61–1.68) 1.09 (0.52–2.31) 0.61 (0.42–0.87) Pacific 1.31 (0.95–1.81) 1.16 (0.85–1.60) 1.11 (0.70–1.75) 1.11 (0.70–1.75) 1.11 (0.57–2.15) 0.66 (0.48–0.91) Annual household income (US$) <25,000 Referent Referent Referent Referent Referent Referent 25,000–49,999 1.09 (0.86–1.38) 1.23 (0.97–1.55) 1.75 (1.28–2.40) 1.63 (1.19–2.24) 3.74 (2.27–6.16) 1.01 (0.79–1.28) 50,000–74,999 1.00 (0.78–1.28) 1.02 (0.80–1.30) 1.62 (1.17–2.23) 1.41 (1.03–1.94) 2.22 (1.41–3.47) 0.93 (0.73–1.20) 75,000–99,999 0.92 (0.70–1.20) 1.02 (0.79–1.31) 1.77 (1.25–2.52) 1.43 (1.01–2.01) 2.53 (1.57–4.09) 0.95 (0.73–1.24) 100,000–149,999 0.84 (0.65–1.09) 1.02 (0.79–1.30) 1.67 (1.19–2.36) 1.36 (0.97–1.90) 3.13 (1.83–5.38) 0.88 (0.68–1.14) ≥150,000 0.91 (0.68–1.21) 1.10 (0.83–1.46) 1.27 (0.85–1.87) 1.08 (0.74–1.59) 1.85 (0.95–3.60) 0.94 (0.71–1.26) Work status § Working Referent Referent Referent Referent Referent Referent Not working 0.97 (0.79–1.18) 0.98 (0.84–1.19) 1.13 (0.85–1.51) 1.07 (0.81–1.41) 1.48 (0.96–2.29) 0.67 (0.79–1.18) Retired 1.13 (0.93–1.37) 0.99 (0.82–1.19) 0.93 (0.70–1.75) 1.28 (0.97–1.69) 0.87 (0.55–1.38) 1.01 (0.84–1.21) Education Less than high school Referent Referent Referent Referent Referent Referent High school 1.20 (0.91–1.58) 1.27 (0.97–1.65) 1.23 (0.87–1.73) 1.18 (0.82–1.68) 1.45 (0.93–2.25) 1.06 (0.81–1.40) Some college 1.09 (0.83–1.44) 1.19 (0.91–1.55) 1.19 (0.83–1.69) 1.01 (0.70–1.44) 2.35 (1.41–3.91) 0.88 (0.67–1.16) Bachelor’s degree or higher 0.91 (0.68–1.21) 1.00 (0.76–1.31) 1.22 (0.85–1.76) 1.03 (0.71–1.50) 2.94 (1.72–5.05) 0.70 (0.53–0.93) Metro status ¶ Non-metro Referent Referent Referent Referent Referent Referent Metro 0.98 (0.81–1.18) 1.11 (0.93–1.34) 0.91 (0.71–1.17) 1.19 (0.94–1.51) 0.74 (0.48–1.13) 1.06 (0.88–1.27) Household size 1 Referent Referent Referent Referent Referent Referent 2 0.98 (0.81–1.17) 1.07 (0.90–1.28) 1.38 (1.07–1.78) 1.23 (0.95–1.60) 1.38 (0.91–2.09) 1.10 (0.91–1.32) 3 1.14 (0.92–1.42) 1.06 (0.85–1.31) 1.39 (1.03–1.88) 1.60 (1.17–2.18) 1.23 (0.75–2.00) 1.19 (0.95–1.48) 4 1.06 (0.83–1.36) 1.34 (1.05–1.71) 1.69 (1.19–2.41) 1.58 (1.12–2.24) 1.46 (0.82–2.62) 1.21 (0.95–1.55) ≥5 1.39 (1.07–1.82) 1.25 (0.97–1.61) 1.31 (0.92–1.87) 1.82 (1.24–2.67) 1.75 (0.93–3.28) 1.19 (0.92–1.54) Marital status Married/Living with partner Referent Referent Referent Referent Referent Referent Single 0.88 (0.74–1.03) 0.95 (0.81–1.10) 1.04 (0.83–1.30) 1.09 (0.87–1.36) 1.13 (0.78–1.65) 0.93 (0.79–1.10) Abbreviations: aOR = adjusted odds ratio; CI = confidence interval; NH = non-Hispanic. * Surveys were conducted during October 8–22, 2019 (N = 3,624), and June 10–25, 2020 (N = 4,053). † Health status was self-reported. Participants answered the question, “In general, would you say your health is…?” and were instructed to choose one answer. § Work status was defined as working (as a paid employee or self-employed); not working (looking for work, on temporary layoff from a job, disabled, or other); and not working, retired. ¶ Metro status was defined by U.S. Office of Management and Budget core-based statistical area. Discussion The findings in this report suggest that the percentage of U.S. adults who reported remembering to wash their hands in certain circumstances has increased during the COVID-19 pandemic compared with prepandemic levels. In June 2020, more U.S. adults reported remembering to wash their hands after coughing, sneezing, or blowing their nose, before eating in a restaurant, before eating at home, and after using the bathroom at home compared with responses in October 2019. The most substantial increases were in the percentages of those remembering to wash their hands after experiencing respiratory symptoms. Despite these increases, however, fewer than 75% of respondents reported remembering to wash their hands after having respiratory symptoms, before eating in a restaurant, and before eating at home. Efforts are needed to communicate the importance of handwashing during these specific situations as well as before food preparation and after using the bathroom. In both 2019 (prepandemic) and 2020 (during the pandemic), higher percentages of older adults, women, Black persons, and Hispanic persons reported remembering to wash their hands in multiple situations than did young adults, men, and White adults. Because older adults, Black persons, and Hispanic persons have been disproportionately affected by COVID-19 ( 6 ), engagement in preventive behaviors by these persons is particularly important. The findings of this study are consistent with other studies conducted during the COVID-19 pandemic ( 3 , 7 ) and past respiratory pandemics ( 8 ) that have found an association between self-reported handwashing behavior and demographic factors such as sex and age. Although the current study did not explore the reasons for differences in remembering to wash hands among groups, previous work has indicated that older adults perceive personal risks of COVID-19 to be higher than do younger adults, and women have perceived themselves to be at higher risk of infection during respiratory pandemics than have men ( 3 , 8 ). Also, men and younger adults have less knowledge about symptoms and transmission compared with other groups ( 7 ), which might affect their handwashing behaviors. The findings in this report are subject to at least six limitations. First, the cross-sectional design does not allow for assessment of whether the changes in reported remembering to wash hands was directly related to the pandemic or whether respondents might have been influenced by other factors, such as community hygiene promotion activities. However, the same question was asked using the same platform and data collection strategy, which facilitated comparisons over time. Second, the use of overlapping confidence intervals to determine whether the difference between years was statistically significant might result in false negatives, indicating that characteristics did not statistically differ from 2019 to 2020. This methodology is a very conservative approach intended to assess the relationship before estimating aORs. Third, despite weighting to make survey responses nationally representative, persons who agree to participate in online surveys could differ systematically from other members of the public. Fourth, the survey relied on self-report, which could be affected by recall bias or social desirability bias ( 9 ), resulting in falsely lowered or elevated percentages of those reporting remembering to wash their hands. Fifth, this survey did not assess whether participants had access to handwashing supplies, which might affect the ability to wash one’s hands frequently. Finally, the survey question did not specify how handwashing was performed (e.g., with soap and water) and did not consider hand sanitizer use, which is a recommended method of hand hygiene if soap and water are unavailable. These findings underscore the importance of promoting frequent handwashing during the ongoing COVID-19 pandemic, especially after coughing, sneezing, and blowing one’s nose. Men, young adults, and White adults continue to be less likely to remember to wash their hands, despite improvements made from 2019 to 2020. Additional work is needed to identify strategies to remind and motivate persons to wash their hands, not only for the prevention of COVID-19, but also to reduce transmission of other infectious diseases transmitted via respiratory or fecal-oral routes. Strategies that have been used in the past to promote handwashing have included active and passive hygiene education, provision of handwashing supplies, environmental cues, and health communication ( 2 ). These types of efforts should be tailored to resonate with men, young adults, and White adults and continue to specify important times when persons should wash their hands, such as before eating and after coughing, sneezing, or blowing their nose. Summary What is already known about this topic? Hand hygiene is one important measure to prevent the spread of COVID-19 and other pathogens. What is added by this report? U.S. adult Internet survey respondents in June 2020 were more likely to remember to wash their hands after experiencing respiratory symptoms, before eating in a restaurant, and before eating at home than were October 2019 survey respondents. Despite improvements, <75% of survey respondents reported remembering to wash their hands in these situations in 2020. What are the implications for public health practice? Public health efforts should promote frequent handwashing for all, with attention to tailoring messaging to men, young adults, and non-Hispanic White adults. Particular focus should be placed on encouraging handwashing at important times such as before eating and after experiencing respiratory symptoms.

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          Demographic and attitudinal determinants of protective behaviours during a pandemic: A review

          Purpose. A new strain of H1N1 influenza, also known as swine flu was confirmed in the UK in May 2009 and has spread to over 100 countries around the world causing the World Health Organization to declare a global flu pandemic. The primary objectives of this review are to identify the key demographic and attitudinal determinants of three types of protective behaviour during a pandemic: preventive, avoidant, and management of illness behaviours, in order to describe conceptual frameworks in which to better understand these behaviours and to inform future communications and interventions in the current outbreak of swine flu and subsequent influenza pandemics. Methods. Web of Science and PubMed databases were searched for references to papers on severe acute respiratory syndrome, avian influenza/flu, H5N1, swine influenza/flu, H1N1, and pandemics. Forward searching of the identified references was also carried out. In addition, references were gleaned from an expert panel of the Behaviour and Communications sub‐group of the UK Scientific Pandemic Influenza Advisory Group. Papers were included if they reported associations between demographic factors, attitudes, and a behavioural measure (reported, intended, or actual behaviour). Results. Twenty‐six papers were identified that met the study inclusion criteria. The studies were of variable quality and most lacked an explicit theoretical framework. Most were cross‐sectional in design and therefore not predictive over time. The research shows that there are demographic differences in behaviour: being older, female and more educated, or non‐White, is associated with a higher chance of adopting the behaviours. There is evidence that greater levels of perceived susceptibility to and perceived severity of the diseases and greater belief in the effectiveness of recommended behaviours to protect against the disease are important predictors of behaviour. There is also evidence that greater levels of state anxiety and greater trust in authorities are associated with behaviour. Conclusions. The findings from this review can be broadly explained by theories of health behaviour. However, theoretically driven prospective studies are required to further clarify the relationship between demographic factors, attitudes, and behaviour. The findings suggest that intervention studies and communication strategies should focus on particular demographic groups and on raising levels of perceived threat of the pandemic disease and belief in the effectiveness of measures designed to protect against it.
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            Faking it: Social Desirability Response Bias in Self-Report Research

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              Characteristics Associated with Hospitalization Among Patients with COVID-19 — Metropolitan Atlanta, Georgia, March–April 2020

              On June 17, 2020, this report was posted online as an MMWR Early Release. The first reported U.S. case of coronavirus disease 2019 (COVID-19) was detected in January 2020 ( 1 ). As of June 15, 2020, approximately 2 million cases and 115,000 COVID-19–associated deaths have been reported in the United States.* Reports of U.S. patients hospitalized with SARS-CoV-2 infection (the virus that causes COVID-19) describe high proportions of older, male, and black persons ( 2 – 4 ). Similarly, when comparing hospitalized patients with catchment area populations or nonhospitalized COVID-19 patients, high proportions have underlying conditions, including diabetes mellitus, hypertension, obesity, cardiovascular disease, chronic kidney disease, or chronic respiratory disease ( 3 , 4 ). For this report, data were abstracted from the medical records of 220 hospitalized and 311 nonhospitalized patients aged ≥18 years with laboratory-confirmed COVID-19 from six acute care hospitals and associated outpatient clinics in metropolitan Atlanta, Georgia. Multivariable analyses were performed to identify patient characteristics associated with hospitalization. The following characteristics were independently associated with hospitalization: age ≥65 years (adjusted odds ratio [aOR] = 3.4), black race (aOR = 3.2), having diabetes mellitus (aOR = 3.1), lack of insurance (aOR = 2.8), male sex (aOR = 2.4), smoking (aOR = 2.3), and obesity (aOR = 1.9). Infection with SARS-CoV-2 can lead to severe outcomes, including death, and measures to protect persons from infection, such as staying at home, social distancing ( 5 ), and awareness and management of underlying conditions should be emphasized for those at highest risk for hospitalization with COVID-19. Measures that prevent the spread of infection to others, such as wearing cloth face coverings ( 6 ), should be used whenever possible to protect groups at high risk. Potential barriers to the ability to adhere to these measures need to be addressed. Patients were selected from six acute care hospitals and associated outpatient clinics affiliated with a single academic health care system in metropolitan Atlanta. Hospitalized patients were selected sequentially from hospital-provided lists of patients aged ≥18 years who were hospitalized with laboratory-confirmed COVID-19 (defined as a positive real-time reverse transcription–polymerase chain reaction [RT-PCR] test result for SARS-CoV-2) during March 1–30. The 220 selected hospitalized patients were described previously ( 2 ); hospitalizations included stays for observation and deaths that occurred in an emergency department (ED). All 311 nonhospitalized patients (i.e., evaluated at outpatient clinics or an ED and not admitted) aged ≥18 years with laboratory-confirmed COVID-19 during March 1–April 7, were included, unless they stayed for observation or died in an ED. During April 8–May 1, trained personnel abstracted information from electronic medical records on patient demographics, occupation, underlying conditions, and symptoms using REDCap software (version 8.8.0; Vanderbilt University) ( 7 ). This investigation was determined by CDC to be public health surveillance and by the Georgia Department of Public Health as an institutional review board–exempt public health evaluation. During March 1–April 7, 2020, the health care system operated a telephone triage line to manage incoming patients with COVID-19–compatible symptoms. Patients with signs of severe illness (e.g., severe shortness of breath, confusion, or hemoptysis) were directed to an ED. Other symptomatic persons could receive outpatient SARS-CoV-2 testing; however, testing was limited, and appointments were prioritized for health care personnel and persons considered to be at higher risk for severe COVID-19–associated illness (e.g., persons aged ≥65 years and those with underlying conditions, including diabetes mellitus, cardiovascular disease, and chronic respiratory disease). For analyses, race was categorized as black or other race; obesity was defined as body mass index ≥30 kg/m2; age was categorized as 18–44, 45–64, and ≥65 years; smoking was defined as being a current or former smoker; cardiovascular disease excluded hypertension alone; and chronic kidney disease included end stage renal disease. Health care personnel were classified as persons whose occupations included patient contact or possible exposure to infectious agents in a health care setting. † Univariable and multivariable logistic regressions were used to compare hospitalized with nonhospitalized patients; variables included age group, race, sex, smoking status, insurance status, obesity, hypertension, diabetes mellitus, cardiovascular disease, chronic respiratory disease, and chronic kidney disease. These variables were selected based upon risk factors for severe COVID-19 identified in other studies ( 3 , 4 ) rather than a defined statistical endpoint. Persons lacking a health care visit during which a medical history could be recorded (25) were excluded from analyses. Because of small sample sizes for some variables, Firth’s correction was used to provide bias-reduction ( 8 ). Because information on race was missing for nearly one quarter (23%) of nonhospitalized patients, sensitivity analyses were performed. Multivariable analyses were repeated and any patient with missing race was reclassified, first as black, then as other race. This method of sensitivity analysis was used to avoid implicit assumptions about the nature of missing data. Data were analyzed using SAS statistical software (version 9.4; SAS Institute). Compared with nonhospitalized patients (311), hospitalized patients (220) were older (median age = 61 years) and more frequently male (52%) and black (79%) (Table). Obesity, smoking, hypertension, diabetes mellitus, and chronic kidney disease were more prevalent among hospitalized patients than among nonhospitalized patients. Among those whose occupations were reported, nonhospitalized patients were more likely to be health care personnel (54%) than were hospitalized patients (4%). Fever or cough were commonly reported among both hospitalized and nonhospitalized patients, whereas shortness of breath was reported more often among hospitalized patients. Chills, headache, loss of smell or taste, or sore throat were reported more often among nonhospitalized patients. TABLE Characteristics of hospitalized and nonhospitalized patients with COVID-19 treated at six acute care hospitals and associated outpatient clinics in metropolitan Atlanta, Georgia, March 1–April 7, 2020 Demographic characteristic No. (%) of patients Nonhospitalized
(n = 311) Hospitalized
(n = 220) Sex Male 114 (36.7) 114 (51.8) Female 197 (63.3) 106 (48.2) Age group (yrs) Median age, yrs (IQR) 45.0 (33.0–58.0) 61.0 (45.0–70.0) 18–44 151 (48.6) 54 (24.6) 45–64 120 (38.6) 76 (34.6) ≥65 years 40 (12.9) 90 (40.9) Race White 90 (28.9) 29 (13.2) Black 139 (44.7) 174 (79.1) Other 10 (3.2) 7 (3.2) Missing race 72 (23.2) 10 (4.6) Ethnicity Hispanic 10 (3.2) 6 (2.7) Non-Hispanic* 197 (63.3) 203 (92.3) Missing ethnicity 104 (33.4) 11 (5.0) Occupation Health care personnel† 168 (54.0) 8 (3.6) Non-health care personnel 78 (25.1) 50 (22.7) Missing occupation 65 (20.9) 162 (73.6) Other characteristic Uninsured 20 (6.4) 22 (10.0) Missing insurance status 6 (1.9) 3 (1.4) Lives in a congregate living facility§ 1 (0.3) 12 (5.5) Pregnant 4 (1.3) 3 (1.4) Past or current smoking 37 (11.9) 54 (24.6) Missing smoking status 52 (16.7) 9 (4.1) Underlying condition Obesity¶ 104 (33.4) 123 (55.9) Missing BMI 84 (27.0) 11 (5.0) Cardiovascular disease 12 (3.9) 8 (3.6) Hypertension 101 (32.5) 142 (64.6) Diabetes mellitus 30 (9.7) 81 (36.8) Type 1 2 (0.6) 2 (0.9) Type 2 28 (9.0) 74 (33.6) Chronic respiratory disease 56 (18.0) 45 (20.5) Chronic kidney disease 7 (2.3) 38 (17.3) Chronic kidney disease without dialysis 6 (1.9) 24 (10.9) End stage renal disease 1 (0.3) 14 (6.4) Any transplant 1 (0.3) 10 (4.6) Liver disease 4 (1.3) 5 (2.3) HIV infection 10 (3.2) 5 (2.3) Cancer 28 (9.0) 6 (2.7) Rheumatological disease 4 (1.3) 6 (2.7) No. of underlying conditions** 0 169 (54.3) 44 (20.0) 1 88 (28.3) 77 (35.0) 2 44 (14.2) 65 (29.6) ≥3 10 (3.2) 34 (15.5) Symptoms at initial evaluation Fever†† 240 (77.2) 188 (85.5) Cough 275 (88.4) 180 (81.8) Shortness of breath (dyspnea) 135 (43.4) 149 (67.7) Headache 171 (55.0) 35 (15.9) Chills 178 (57.2) 58 (26.4) Arthralgia 44 (14.2) 9 (4.1) Myalgia 184 (59.2) 69 (31.4) Sore throat 146 (47.0) 21 (9.6) Loss of smell§§ 130 (41.8) 4 (1.8) Loss of taste 106 (34.1) 6 (2.7) Gastrointestinal symptoms¶¶ 137 (44.1) 88 (40.0) Median interval between symptom onset and testing, days (IQR) 4.0 (2.0–7.0) 6.0 (3.0–9.5) Abbreviations: BMI = body mass index; HIV = human immunodeficiency virus; IQR = interquartile range. * Includes non-Hispanic white and other races/ethnicities. † Includes any occupation with patient contact. § Includes nursing homes, assisted living facilities, shelters, and dormitories. ¶ BMI ≥30.0 kg/m2. ** Includes cardiovascular disease, hypertension, diabetes, chronic respiratory disease, and chronic kidney disease. †† Includes subjective or objective fever (≥100.4°F [38°C]). §§ Loss of smell or taste was first widely reported on April 23, 2020; differences in the periods of investigations between hospitalized and nonhospitalized patients might be responsible for differences in proportions reported. ¶¶ Includes abdominal pain, diarrhea, nausea, or vomiting. After controlling for age, sex, race, obesity, smoking status, insurance status, hypertension, diabetes mellitus, cardiovascular disease, chronic respiratory disease, and chronic kidney disease, characteristics independently associated with hospitalization were age ≥65 years (aOR = 3.4, 95% confidence interval [CI] = 1.6–7.4); black race (aOR = 3.2, 95% CI = 1.8–5.8); having diabetes mellitus (aOR = 3.1, 95% CI = 1.7–5.9); lack of insurance (aOR = 2.8, 95% CI 1.1–7.3); male sex (aOR = 2.4, 95% CI = 1.4–4.1); smoking (aOR = 2.3, 95% CI = 1.2–4.5); and obesity (aOR = 1.9, 95% CI = 1.1–3.3) (Figure). When missing race was reclassified as black or other race in sensitivity analyses, associations with hospitalization did not appreciably change for any variables. FIGURE Unadjusted and adjusted* odds ratios and 95% confidence intervals for hospitalizations in COVID-19 patients (n = 506 † ) evaluated at six acute care hospitals and associated outpatient clinics, by selected characteristics — metropolitan Atlanta, Georgia, March 1–April 7, 2020 Abbreviation: COVID-19 = coronavirus disease 2019. * Adjusted for age, sex, race, obesity, past or current smoking, insurance status, obesity, and other underlying conditions (hypertension, diabetes mellitus, cardiovascular disease, chronic respiratory disease, and chronic kidney disease). † Complete case analysis was used for multivariable analyses; therefore, n = 368 for the multivariable model. The figure is a logarithmic plot showing unadjusted and adjusted odds ratios and 95% confidence intervals for hospitalizations in 506 COVID-19 patients evaluated at six acute care hospitals and associated outpatient clinics in metropolitan Atlanta, Georgia, during March 1–April 7, 2020, by selected characteristics. Discussion Older age, as measured by age ≥65 years, was associated with hospitalization, consistent with previous findings ( 3 , 4 ). Hospitalized patients with COVID-19 were more likely to have diabetes mellitus and obesity than were nonhospitalized patients, suggesting a relationship between these underlying conditions and increased severity of illness. Diabetes mellitus has been determined to be associated with more severe illness in hospitalized patients with COVID-19 ( 4 ) and in persons with illness caused by Middle East respiratory syndrome coronavirus ( 9 ). Obesity has previously been reported to be overrepresented in hospitalized patients with COVID-19 ( 3 ) and associated with hospitalization ( 4 ). After controlling for other underlying conditions and patient characteristics, hypertension was no longer associated with hospitalization, suggesting that other underlying conditions or factors associated with hypertension might be partially responsible for the higher prevalence of hypertension in hospitalized COVID-19 patients. The COVID-19 pandemic has highlighted persistent health disparities in the United States. In a previous investigation of hospitalized patients in Georgia, including the subset of hospitalized patients reported here, the proportion of patients who were black was higher than expected based on overall hospitalizations during the same period ( 2 ). Racial and ethnic minority groups are at higher risk for severe complications from COVID-19 because of the increased prevalence of diabetes, cardiovascular disease, and other underlying conditions among racial and ethnic minority groups. § Social determinants of health might also contribute to the disproportionate incidence of COVID-19 in racial and ethnic minority groups, including factors related to housing, economic stability, and work circumstances. ¶ In the United States, black workers are more likely than other workers to be frontline industry or essential workers,** which increases their likelihood of infection with SARS-CoV-2 while performing their jobs. This and other social factors could contribute to the disproportionate diagnoses of COVID-19 among black persons in metropolitan Atlanta. Black race has previously been associated with increased hospitalization among COVID-19 patients ( 10 ); however, race has not been associated with mortality among patients who were hospitalized ( 2 , 10 ). The independent association between black race and hospitalization in this investigation remained, even when the analysis controlled for other characteristics (including diagnosed underlying conditions), suggesting underlying conditions alone might not account for the higher rate of hospitalization among black persons. This might indicate that black persons are more likely to be hospitalized because of more severe illness, or it might indicate that black persons are less likely to be identified in the outpatient setting, potentially reflecting differences in health care access or utilization or other factors not identified through medical record review. Additional research is needed to more fully understand the association between black race and hospitalization. CDC and state and local partners are working to ensure completeness of race and ethnicity data and will continue to analyze and report on racial and ethnic disparities to further elucidate factors and health disparities associated with COVID-19 incidence and illness severity. The findings in this report are subject to at least five limitations. First, although this investigation identified COVID-19 patients from a single health care system, hospitalized patients likely represent a broader population than nonhospitalized patients because those experiencing mild illness might have accessed outpatient services outside of this health care system or chosen not to seek care. Differences in these two populations caused by selection bias might therefore result in nonhospitalized patients differing beyond having milder illness than hospitalized patients. Thus, in this report, hospitalization status might not only represent severity of illness but also care seeking and potentially other confounding characteristics. Second, given that outpatient testing was prioritized for certain persons, older patients and those with underlying conditions might be overrepresented among outpatients receiving testing, resulting in underestimated odds ratios for hospitalization. In addition, overrepresentation of health care personnel in the outpatient setting could result in overestimation of odds ratios if health care personnel were disproportionately young or healthy. Third, outpatient visits did not always include a full medical history; thus, underlying conditions and other characteristics might be underreported. Fourth, data on age was stratified into groups, and because of sample size, smaller age group categories could not be explored. Finally, data on race, body mass index, and smoking status were missing for a substantial proportion of nonhospitalized patients. Data could not be disaggregated for other races or analyzed by ethnicity because of small sample sizes. This investigation found that age ≥65 years, black race, and having diabetes mellitus were independently associated with hospitalization. Among the underlying conditions included in the multivariable analysis, diabetes mellitus was most strongly associated with hospitalization. The reported association between black race and hospitalization, which remained even after controlling for diagnosed underlying conditions, suggests that underlying conditions alone might not account for the higher rate of hospitalization among black persons. Other factors that might explain higher rates of hospitalization include health care access, other social determinants of health, or the possibility of bias. Infection with SARS-CoV-2 can lead to severe outcomes, including death, and measures to protect persons from infection such as staying at home, social distancing ( 5 ), and awareness and management of underlying conditions should be emphasized for those at highest risk for hospitalization with COVID-19. To protect groups at high risk, measures that prevent the spread of infection to others, such as wearing cloth face coverings ( 6 ), should be used whenever possible. Potential barriers to the ability to adhere to these measures need to be addressed. Summary What is already known about this topic? Hospitalized COVID-19 patients are more commonly older, male, of black race, and have underlying conditions. Less is known about factors increasing risk for hospitalization. What is added by this report? Data for 220 hospitalized and 311 nonhospitalized COVID-19 patients from six metropolitan Atlanta hospitals and associated outpatient clinics found that older age, black race, diabetes, lack of insurance, male sex, smoking, and obesity were independently associated with hospitalization. What are the implications for public health practice? To reduce severe outcomes from COVID-19, measures to prevent infection with SARS-COV-2 should be emphasized for persons at highest risk for hospitalization with COVID-19. Potential barriers to the ability to adhere to these measures need to be addressed.
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                Author and article information

                Journal
                MMWR Morb Mortal Wkly Rep
                MMWR Morb Mortal Wkly Rep
                WR
                Morbidity and Mortality Weekly Report
                Centers for Disease Control and Prevention
                0149-2195
                1545-861X
                09 October 2020
                09 October 2020
                : 69
                : 40
                : 1443-1449
                Affiliations
                CDC COVID-19 Response Team; Epidemic Intelligence Service, CDC; Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Immunization and Respiratory Diseases, CDC; Eagle Medical Services, LLC, Atlanta, Georgia.
                Author notes
                Corresponding author: Julia C. Haston, jhaston@ 123456cdc.gov .
                Article
                mm6940a2
                10.15585/mmwr.mm6940a2
                7561222
                33031363
                397ffc6a-2030-4d84-b968-e90ded1b7383

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