Association between biopsychosocial factors and self-reported COVID-19 clinical complications in a Brazilian city

Nascimento, Murilo César do; Fava, Silvana Maria Coelho Leite; Dázio, Eliza Maria Rezende; Silva, Simone Albino da; Silva, Kênia Lara; Oliveira, Alexandre Balsanuf; Delpino, Felipe Mendes; Fronteira, Inês; Arcêncio, Ricardo Alexandre; Sawada, Namie Okino

doi:10.1590/1980-549720220033

Murilo César do Nascimento CORRESPONDING AUTHOR: Murilo César do Nascimento. Rua Gabriel Monteiro da Silva, s/n, Centro, CEP: 37130-001, Alfenas (MG), Brazil. E-mail: murilo.nascimento@unifal-mg.edu.br

conceptualization, data curation, formal analysis, investigation, methodology, software, validation, visualization, writing riting atiodraft, writing – review & editing.

Universidade Federal de Alfenas, School of Nursing – Alfenas (MG), Brazil.

Universidade de São Paulo, School of Nursing – Ribeirão Preto (SP), Brazil.

http://orcid.org/0000-0002-3436-2654

Silvana Maria Coelho Leite Fava

conceptualization, investigation, methodology, supervision, validation, visualization, writing riting atiodraft, writing – review & editing.

Universidade Federal de Alfenas, School of Nursing – Alfenas (MG), Brazil.

http://orcid.org/0000-0003-3186-9596

Eliza Maria Rezende Dázio

conceptualization, investigation, methodology, validation, visualization, writing – review & editing.

Universidade Federal de Alfenas, School of Nursing – Alfenas (MG), Brazil.

http://orcid.org/0000-0001-9216-6283

Simone Albino da Silva

conceptualization, investigation, methodology, validation, visualization, writing – review & editing.

Universidade Federal de Alfenas, School of Nursing – Alfenas (MG), Brazil.

http://orcid.org/0000-0002-2725-8832

Kênia Lara Silva

conceptualization, investigation, methodology, validation, visualization, writing – review & editing.

Universidade Federal de Minas Gerais – Belo Horizonte (MG), Brazil.

http://orcid.org/0000-0003-3924-2122

Alexandre Balsanuf Oliveira

investigation, methodology, validation, visualization, writing – review & editing.

Universidade Federal de Alfenas, School of Nursing – Alfenas (MG), Brazil.

http://orcid.org/0000-0002-2967-9024

Felipe Mendes Delpino

methodology, validation, visualization, writing – original draft, writing – review & editing.

Universidade de São Paulo, School of Nursing – Ribeirão Preto (SP), Brazil.

Universidade Federal de Pelotas – Pelotas (RS), Brazil.

http://orcid.org/0000-0002-3562-3246

Inês Fronteira

methodology, software, validation, visualization, writing – original draft, writing – review & editing.

Global Health and Tropical Medicine (GHTM).

Universidade NOVA de Lisboa, Instituto de Higiene e Medicina Tropical – Lisboa, Portugal.

http://orcid.org/0000-0003-1406-4585

Ricardo Alexandre Arcêncio

investigation, methodology, supervision, validation, visualization, writing – review & editing.

Universidade de São Paulo, School of Nursing – Ribeirão Preto (SP), Brazil.

http://orcid.org/0000-0003-4792-8714

Namie Okino Sawada

conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, supervision, validation, visualization, writing – original draft, writing – review & editing.

Universidade Federal de Alfenas, School of Nursing – Alfenas (MG), Brazil.

http://orcid.org/0000-0002-1874-3481

CORRESPONDING AUTHOR: Murilo César do Nascimento. Rua Gabriel Monteiro da Silva, s/n, Centro, CEP: 37130-001, Alfenas (MG), Brazil. E-mail: murilo.nascimento@unifal-mg.edu.br

CONFLICT OF INTEREST: nothing to declare.

Variables		n	%
Sex
	Female	121	55.8
	Male	96	44.2
Age groups (years)
	20–29	09	4.1
	30–39	21	9.7
	40–49	34	15.7
	50–59	38	17.5
	60–69	65	30.0
	70–79	38	17.5
	≥80	12	5.5
Marital status
	Without partner	67	30.9
	With partner	150	69.1
Education (years)
	0–3	30	13.8
	4–7	74	34.2
	8–12	63	29.0
	≥13	50	23.0
Household density
	<0.5 people/room	69	31.8
	0.5–1.0 people/room	125	57.6
	>1.0 people/room	23	10.6
Per capita income^* * According to the cutoff points defined by tertiles of the distribution, loss of information is 25.
	1^st tertile (<R$ 712.66)	62	32.3
	2^nd tertile (R$ 712.66–1156.33)	64	33.3
	3^rd tertile (≥R$ 1156.33)	66	34.4
Number of self-reported clinical complications by COVID-19^† † According to the cutoff points defined by tertiles of the distribution, loss of information is 14.
	None	01	0.5
	2	01	0.5
	3	09	4.4
	4	37	18.2
	5	65	32.0
	6	90	44.4
Total		217	100

Variables		Crude model		Partially adjusted model
Variables		β	95%CI	β	95%CI
Sex (female)		0.069	-0.177–0.315	–	–
Age (in years)		-0.004	-0.012–0.004	–
Age groups (years)
	30–39	0.206	-0.486–0.899	–	–
	40–49	-0.255	-0.916–0.405	–	–
	50–59	-0.166	-0.814–0.481	–	–
	60–69	-0.080	-0.701–0.540	–	–
	70–79	-0.084	-0.736–0.566	–	–
	≥80	-0.389	-1.155–0.377	–	–
Marital status (with a partner)		-0.144	-0.405–0.118	–	–
Education (in complete years)		0.006	-0.013–0.024	–	–
Household density (continuous)		0.176	-0.141–0.494	–	–
Per capita income (in R$)
	2^nd tertile (712.66–1156.33)	-0.084	-0.413–0.246	–	–
	3^rd tertile (≥1156.33)	0.006	-0.332–0.319	–	–

Variables	Crude model		Partially adjusted model
Variables	β	95%CI	β	95%CI
Diabetes	0.082	-0.186–0.351	–	–
Obesity	0.089	-0.330–0.506	–	–
High blood pressure	0.282	0.038–0.525	0.186	-0.146–0.518
Heart failure	0.331	-0.076–0.737	0.230	-0.220–0.681
Asthma/bronchitis	-0.028	-0.447–0.391	–	–
Respiratory failure	0.261	-0.301–0.824	–	–
Others	0.137	-0.141–0.416	–	–
Number of comorbidities	0.115	0.012–0.218	0.299	-0.121–0.181
Sought health services for the treatment of preexisting diseases (No)	0.260	-0.254–0.774	–	–
Had dengue fever in the past 2 years	-0.396	-0.892–0.098	-0.332	-0.830–0.165
Sought health services to treat COVID-19 complications (Yes)	0.014	-0.372–0.401	–	–
Caregiver assistance (Yes)	-0.818	-1.399–-0.236	-0.818	-1.399–-0.236

Variables		Crude model		Partially adjusted model
Variables		β	95%CI	β	95%CI
WHOQOL (global score)		0.023	0.012–0.034	0.024	0.001–0.038
Physical		0.015	0.009–0.021	0.012	0.004–-0.204
Psychological		0.013	0.006–0.020	0.007	-0.003–0.016
Social relationships		0.002	-0.004–0.008	–	–
Environment		0.008	-0.001–0.017	-0.007	-0.018–0.003
BDI-II (global score)		-0.015	-0.031–0.001	0.017	-0.003–0.038
Original classification
	Mild (10–18)	-0.126	-0.42–0.17	–	–
	Moderate (19–29)	0.017	-0.552–0.587	–	–
	Severe (30–63)	-0.282	-1.075–0.510	–	–
Gorenstein classification
	Dysphoria (16–20)	-0.337	-0.804–0.128	–	–
	Depression (21–63)	0.028	-0.453–0.510	–	–
IES-R (global scores)		-0.012	-0.018–-0.006	-0.001	-0.017–-0.003
“Intrusion”		-0.032	-0.048–-0.016	-0.037	-0.071–-0.003
“Avoidance”		-0.024	-0.038–-0.009	0.000	-0.024–0.025
Hyperstimulation		-0.042	-0.066–-0.018	0.025	-0.022–0.072
SSS
	Material	-0.005	-0.047–0.036	–	–
	Affective	-0.001	-0.058–0.056	–	–
	Emotional	-0.013	-0.049–0.022	–	–
	Information	-0.002	-0.039–0.034	–	–
	Positive social interaction	0.015	-0.025–0.055	–	–

Correlated factors	β	95%CI
Caregiver (yes)	-0.662	-1.229–-0.095
Previous high blood pressure (yes)	0.228	0.006–0.463
IES-R (global score)	-0.011	-0.016–-0.004

[1] CORRESPONDING AUTHOR: Murilo César do Nascimento. Rua Gabriel Monteiro da Silva, s/n, Centro, CEP: 37130-001, Alfenas (MG), Brazil. E-mail: murilo.nascimento@unifal-mg.edu.br

Brasil

Brasil

Association between biopsychosocial factors and self-reported COVID-19 clinical complications in a Brazilian city

Associação entre características biopsicossociais e complicações clínicas por COVID-19 autorreferidas em um município brasileiro

ABSTRACT

Objective:

Methods:

Results:

Conclusion: