Bio-psychosocial study on the impact of the COVID-19 lockdown on depression and anxiety in a sample of 1753 French-speaking subjects.

UNLABELLED

The aim of this article was to study the impact of the COVID19 lockdown on anxiety and depressive symptoms on the basis of responses to an online survey from 1753 French-speaking subjects, conducted between April 27 and May 11, 2020.

METHOD

Using a biopsychosocial model, the effects of socio-demographic characteristics (age, gender at birth, socio-professional category, sexual orientation), lockdown conditions (material factors: urban density of the place of residence, surface area of the place of residence during lockdown), social characteristics: living with a partner during lockdown, presence of children during lockdown) and psychosocial history (attachment styles) on anxiety - evaluated on the GAD7 - and depression - evaluated on the MDI - were investigated. Ordinal regression analyses were conducted.

RESULTS

The rates of depression observed (moderate or severe depression: 22.5%) and anxiety (moderate or severe anxiety: 18.4%) were higher than usual but lower than what has been documented in other studies on the effects of lockdown. Women appeared to be more vulnerable than men (Anxiety: AOR=1.647, CI 95%=1.647-2.530; Depression: AOR=1.622, CI 95%=1.274-2.072). Bisexual individuals had an increased likelihood of anxiety symptoms (AOR=1.962, CI 95%=1.544-2.490) and depression (AOR=1.799, CI 95%=1.394-2.317). For homosexuals, only links with depression were observed (AOR=1.757, CI 95%=1.039-2.906). People in a situation of economic vulnerability were more prone to anxiety disorders (e.g. people with no working activity: AOR=1.791, CI 95%=1.147-2.790) or depression (e.g. people with no working activity: AOR=2.581, CI 95%=1.633-4.057). Links with attachment styles were also found. Fearful subjects were particularly vulnerable (anxiety: AOR=2.514, CI 95%=1.985-3.190; depression: AOR=2.521, CI 95%=1.938-3.289), followed by subjects with an anxious attachment style (anxiety: AOR=1.949, CI 95%=1.498-2.540; depression: AOR=1.623, CI 95%=1.207-2.181). The impact of lockdown on avoidant subjects only concerned depression (AOR=1.417, CI 95%=1.034-1.937). Being with a partner during lockdown appeared to have a protective effect against depression (AOR=.693, CI 95%=.555-.866). Neither the presence of children, the surface area of the lockdown residence, nor the population density of the place of residence was associated with anxiety or depression.

CONCLUSION

The impact of lockdown on mental health depends on a range of dimensions that need to be apprehended in order to tailor post-lockdown psychological and social support. Management based on a biopsychosocial approach should be favored.