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. 2024 Jul 17;4(7):e0003194. doi: 10.1371/journal.pgph.0003194

Table 1. Demographic characteristics of HIV negative adults aged 15–54 in Manicaland, prior to and during the Covid-19 pandemic.

A) Males B) Females
Cross-sectional analysis Cohort analysis Cross-sectional analysis Cohort analysis
Pre-Covid During Covid Pre-Covid During Covid Pre-Covid During Covid Pre-Covid During Covid
% (95%CI)* % (95%CI) AOR (95%CI) p % (95%CI) % (95%CI) AOR (95%CI) p % (95%CI)* % (95%CI) AOR (95%CI) p % (95%CI) % (95%CI) AOR (95%CI) p
15-54yrs N = 3181 N = 2773 N = 1171 N = 1171 N = 4135 N = 3541 N = 1997 N = 1997
Age Group
15–19 26.4 (25.0–27.9) 25.8 (24.2–27.5) 25.8 (23.4–28.4) 17.8(15.7–20.1) 21.5(20.4–22.7) 20.7 (19.4–22.1) 15.7 (14.2–17.4) 10.6 (9.34–12.0)
20–24 17.6 (16.4–18.9) 16.1 (14.8–17.5) 12.7 (10.9–14.8) 15.5(13.6–17.7) 18.8(17.7–19.9) 15.9 (14.7–17.1) 14.6 (13.1–16.2) 12.8 (11.4–14.3)
25–29 11.7 (10.7–12.8) 12.3 (11.1–13.5) 9.74 (8.16–11.6) 10.8 (9.19–12.8) 13.8(12.7–15.0) 14.5(13.4–15.7) 13.8(12.3–15.4) 15.2(13.7–16.8)
30–34 12.3 (11.1–13.7) 10.4 (9.34–11.6) 11.5 (9.82–13.5) 10.6 (8.95–12.5) 13.7(12.6–14.9) 12.5(11.4–13.6) 15.7(14.1–17.3) 13.9 (12.5–15.5)
35–44 20.2 (18.7–21.8) 21.8 (20.3–23.4) 24.4 (22.0–27.0) 25.7(23.3–28.3) 20.2(18.9–21.5) 22.7 (21.3–24.1) 25.2 (23.3–27.1) 27.6 (25.7–29.6)
45–54 11.8 (10.6–13.1) 13.6 (12.3–14.9) 15.8 (13.8–18.0) 16.5(14.5–18.7) 12.0(10.9–13.1) 13.7 (12.6–14.9) 15.0 (13.5–16.7) 16.4 (14.9–18.1)
55+ 3.07(2.22–4.23) 3.51 (2.78–4.41)
Site Type
Urban 14.5 (13.3–15.7) 20.6 (19.1–22.1) 1.53 (1.33–1.75) <0.001 14.8 (12.9–16.9) 14.8(12.9–16.9) 0.99(0.78–1.25) 0.93 18.7(17.6–20.0) 19.5 (18.2–20.8) 1.06 (0.95–1.19) 0.32 15.6 (14.0–17.2) 15.6 (14.0–17.2) 1.04 (0.87–1.23) 0.69
Periurban 23.1 (21.6–24.6) 27.8 (26.1–29.5) 1.28 (1.14–1.44) <0.001 25.7 (23.3–28.3) 25.7(23.3–28.3) 1.03(0.85–1.24) 0.75 28.1(26.7–29.5) 30.3 (28.8–31.9) 1.12 (1.01–1.24) 0.03 30.2 (28.3–32.3) 30.2 (28.3–32.3) 1.01 (0.88–1.16) 0.84
Estates 32.6 (30.9–34.3) 24.8 (23.3–26.5) 0.68 (0.61–0.77) <0.001 30.3 (27.7–33.0) 30.3(27.7–33.0) 1.00(0.83–1.20) 0.99 21.9(20.7–23.3) 21.2 (19.9–22.6) 0.95 (0.85–1.06) 0.34 21.1 (19.4–23.0) 21.1 (19.4–23.0) 0.98 (0.84–1.14) 0.78
Rural 29.9(28.3–31.5) 26.8 (25.2–28.5) 0.86 (0.76–0.96) 0.01 29.2 (26.7–31.9) 29.2(26.7–31.9) 0.98(0.82–1.17) 0.81 31.2(29.8–32.7) 29.0 (27.5–30.5) 0.89 (0.81–0.99) 0.03 33.0 (31.0–35.1) 33.0 (31.0–35.1) 0.98 (0.86–1.12) 0.79
Marital Status
Never married 43.7 (42.0–45.5) 43.3 (41.5–45.2) 1.08 (0.91–1.29) 0.36 38.4 (35.7–41.3) 33.7(31.1–36.5) 1.13(0.83–1.55) 0.44 23.8 (22.6–25.1) 23.9 (22.5–25.3) 1.17 (1.02–1.35) 0.03 17.7 (16.1–19.4) 15.2 (13.7–16.9) 1.34 (1.05–1.71) 0.02
Married/cohabiting 52.5 (50.8–54.3) 53.4 (51.5–55.3) 0.97 (0.83–1.14) 0.69 59.1 (56.2–61.9) 62.9(60.0–65.6) 0.83(0.63–1.10) 0.20 64.8 (63.3–66.2) 63.0 (61.4–64.6) 0.85 (0.76–0.95) 0.003 71.6 (69.6–73.5) 73.1 (71.1–75.0) 0.92 (0.78–1.08) 0.30
Divorced/separated 3.51 (2.88–4.28) 2.92 (2.36–3.62) 0.86 (0.63–1.17) 0.34 2.22 (1.52–3.24) 3.07(2.22–4.23) 1.29(0.77–2.17) 0.33 8.58 (7.73–9.52) 9.86 (8.92–10.9) 1.14 (0.97–1.33) 0.12 7.66 (6.57–8.91) 7.41 (6.34–8.65) 0.88 (0.69–1.13) 0.32
Widowed 0.23 (0.10–0.51) 0.36 (0.19–0.67) 1.35 (0.48–3.78) 0.57 0.26 (0.08–0.79) 0.34(0.13–0.91) 1.30(0.29–5.85) 0.73 2.80 (2.30–3.40) 3.28 (2.74–3.92) 1.10 (0.82–1.46) 0.53 3.05 (2.38–3.91) 4.26 (3.45–5.24) 1.04 (0.72–1.51) 0.83
Household Wealth Index §
Poorest 9.81 (8.79–10.9) 5.59 (4.80–6.51) 0.55 (0.45–0.68) <0.001 9.65 (8.08–11.5) 7.34 (5.98–8.99) 0.72 (0.53–0.99) 0.04 8.97 (8.12–9.90) 6.70 (5.92–7.57) 0.74 (0.62–0.88) 0.001 9.51 (8.30–10.9) 8.17 (7.04–9.45) 0.84 (0.67–1.06) 0.15
2nd poorest 46.5 (44.8–48.3) 42.1 (40.3–44.0) 0.98 (0.88–1.10) 0.77 42.7 (39.9–45.6) 42.5 (39.7–45.4) 1.00 (0.84–1.19) 0.99 40.3 (38.8–41.9) 41.4 (39.8–43.1) 1.11 (1.00–1.22) 0.04 41.5 (39.4–43.7) 42.9 (40.7–45.1) 1.06 (0.93–1.22) 0.38
3rd poorest 22.3 (20.8–23.8) 29.3 (27.7–31.1) 1.41 (1.25–1.59) <0.001 24.0 (21.6–26.5) 28.4 (25.9–31.1) 1.26 (1.04–1.52) 0.02 24.0 (22.7–25.4) 28.1 (26.7–29.6) 1.22 (1.10–1.36) <0.001 24.3 (22.5–26.2) 26.2 (24.3–28.1) 1.11 (0.96–1.28) 0.17
4th poorest 20.1 (18.8–21.6) 22.2 (20.7–23.8) 0.90 (0.78–1.03) 0.12 22.1 (19.8–24.6) 20.9 (18.7–23.3) 0.91 (0.73–1.13) 0.40 25.0 (23.7–26.3) 22.7 (21.4–24.1) 0.81 (0.72–0.91) <0.001 23.3 (21.5–25.2) 21.8 (20.0–23.7) 0.89 (0.76–1.05) 0.18
Least poor 1.25 (0.91–1.70) 0.76 (0.49–1.16) 0.52 (0.30–0.89) 0.02 1.54 (0.97–2.43) 0.77 (0.40–1.47) 0.91 (0.73–1.13) 0.40 1.70 (1.34–2.15) 1.02 (0.73–1.41) 0.58 (0.39–0.88) 0.01 1.40 (0.97–2.02) 1.00 (0.65–1.55) 0.74 (0.41–1.32) 0.31
Employment
Professional or managerial 4.03 (3.35–4.85) 6.31 (5.46–7.28) 1.48 (1.15–1.91) 0.00 4.95 (3.85–6.36) 6.40 (5.14–7.96) 1.20 (0.83–1.73) 0.33 3.63 (3.06–4.30) 4.69 (4.04–5.44) 1.21 (0.95–1.54) 0.12 3.61 (2.87–4.52) 4.61 (3.77–5.62) 1.20 (0.87–1.66) 0.27
Self-employed: small business 1.17 (0.83–1.63) 1.33 (0.97–1.84) 0.96 (0.60–1.55) 0.87 1.20 (0.71–2.01) 1.28 (0.77–2.11) 1.03 (0.49–2.15) 0.95 0.46 (0.29–0.76) 1.47 (1.12–1.92) 3.36 (1.90–5.93) <0.001 0.60 (0.34–1.06) 1.60 (1.14–2.26) 2.48 (1.26–4.88) 0.01
Skilled labour 7.40 (6.48–8.43) 14.3 (13.1–15.7) 2.42 (2.01–2.92) <0.001 8.28 (6.83–10.0) 15.8 (13.8–18.0) 1.96 (1.49–2.58) <0.001 2.34 (1.90–2.89) 4.52 (3.88–5.25) 1.97 (1.50–2.58) <0.001 2.40 (1.82–3.18) 3.76 (3.00–4.69) 1.47 (1.01–2.15) 0.04
Manual/unskilled labour 18.8 (17.5–20.3) 15.5 (14.2–16.9) 0.99 (0.84–1.16) 0.86 13.8 (12.0–15.9) 17.6 (15.5–19.9) 1.32 (1.03–1.69) 0.03 4.42 (3.80–5.13) 7.79 (6.96–8.72) 1.90 (1.55–2.34) <0.001 4.36 (3.54–5.35) 8.21 (7.09–9.50) 2.00 (1.51–2.65) <0.001
Informal employment 15.0 (13.7–16.3) 14.1 (12.8–15.4) 0.81 (0.69–0.94) 0.01 17.0 (14.9–19.3) 16.0 (14.0–18.2) 0.84 (0.67–1.06) 0.14 13.7 (12.6–14.8) 18.8 (17.6–20.1) 1.41 (1.24–1.60) <0.001 15.9 (14.4–17.6) 23.6 (21.8–25.6) 1.56 (1.33–1.84) <0.001
Student 22.2 (20.8–23.6) 19.8 (18.4–21.4) 0.77 (0.64–0.92) 0.004 24.2 (21.8–26.7) 11.7 (10.0–13.7) 0.32 (0.23–0.45) <0.001 15.2 (14.3–16.3) 15.3 (14.2–16.6) 1.13 (0.96–1.32) 0.15 12.7 (11.3–14.2) 8.06 (6.95–9.34) 0.78 (0.58–1.04) 0.09
Unemployed 24.8 (23.3–26.4) 28.6 (27.0–30.3) 1.20 (1.06–1.35) 0.004 23.7(21.3–26.2) 31.3(28.7–34.0) 1.44 (1.18–1.74) <0.001 52.5 (51.0–54.1) 47.4 (45.7–49.0) 0.82 (0.75–0.90) <0.001 52.8 (50.6–55.0) 50.1 (47.9–52.3) 0.84 (0.73–0.95) 0.01
Other: unspecified 6.61 (5.76–7.57) 6.92 (5.60–8.52) 7.64 (6.84–8.53) 7.61 (6.53–8.86)
Alcohol/Drugs
Drank alcohol in the past year 26.9 (25.3–28.5) 21.7 (20.2–23.2) 0.73 (0.64–0.84) <0.001 27.3 (24.8–30.0) 26.5 (24.0–29.1) 0.86 (0.71–1.05) 0.13 2.01 (1.62–2.50) 2.40 (1.94–2.96) 1.19 (0.87–1.62) 0.27 2.10 (1.56–2.83) 1.85 (1.35–2.55) 0.84 (0.53–1.33) 0.46
Visited bar, beerhall or shebeen in past month 31.0 (29.3–32.7) 16.9 (15.6–18.4) 0.44 (0.39–0.51) <0.001 31.4 (28.8–34.1) 21.4 (19.1–23.9) 0.52 (0.43–0.63) <0.001 0.62 (0.42–0.91) 0.62 (0.41–0.94) 0.97 (0.55–1.71) 0.91 0.40 (0.20–0.80) 0.60 (0.34–1.06) 1.42 (0.57–3.55) 0.45
Using drugs for pleasure 4.78 (4.08–5.61) 2.92 (2.36–3.62) 0.60 (0.45–0.79) <0.001 3.76 (2.81–5.01) 3.67 (2.73–4.92) 0.90 (0.58–1.39) 0.63 0.19 (0.10–0.39) 0.34 (0.19–0.60) 1.81 (0.73–4.48) 0.20 0.05 (0.01–0.35) 0.30 (0.13–0.67) 6.50 (0.78–54.27) 0.08
15-19yrs N = 986 N = 716 N = 302 N = 302 N = 1112 N = 734 N = 314 N = 314
Currently Enrolled in Education 73.2 (70.4–75.9) 64.0 (60.4–67.4) 0.64 (0.50–0.82) <0.001 84.4 (79.9–88.1) 37.7 (32.4–43.4) 0.33 (0.21–0.52) <0.001 57.7 (54.8–60.6) 57.1 (53.5–60.6) 1.06 (0.84–1.33) 0.64 69.4 (64.1–74.3) 36.0 (30.8–41.5) 0.90 (0.59–1.37) 0.62

* In the cross-sectional analysis of the pre-covid survey, proportions are weighted to account for age bias in selection

† Odds ratios are adjusted for 5 year age group and site type. For variables limited to 15–19 year olds odds ratios are adjusted for site type and age in years.

‡ Note that no specific procedures were followed to identify individuals moving to different study site between the survey rounds

§Household wealth was estimated for each individual by assessing asset ownership within their household and attributing a score as described by Schur et al.19 Each asset variable was transformed into scores between 0 and 1. The values of each asset variable were then summed and divided by the total number of assets giving an overall score between 0 and 1. Equally spaced cut offs (0,0.2, 0.4, 0.6, 0.8) were used to categorise the overall wealth of a household into five groups.

‖ These individuals answered ’other’ for their category of employment but then did not specify in the follow up question so they could not be recoded to any of the other categories.