Gender difference in the relationship between personality traits and changes in depressive symptoms before and after the COVID-19 outbreak: A follow-up study among Chinese adults

The Relationship between Big Five Personality Traits and Depression in the German-Speaking D-A-CH Region Including an Investigation of Potential Moderators and Mediators

Considerable evidence links the "Big Five" personality traits (neuroticism, extroversion, conscientiousness, agreeableness, and openness) with depression. However, potential mediating and moderating factors are less well understood. We utilized data from a cross-sectional survey of 3065 German-speaking adults from the D-A-CH region to estimate multivariable-adjusted odds ratios and 95% confidence intervalsbetween personality traits and lifetime prevalence of depression (overall and stratified by sex and age). We further explored proportions mediated by psychosocial factors optimism, empathy, perspective-taking, work-life balance, and interpersonal trust. High levels of neuroticism were associated with more than two-fold higher odds of depression, whereas higher levels of conscientiousness were associated with approximately 30% lower odds of depression. The association with neuroticism persisted in all investigated subgroups; apparently, stronger associations for females and participants aged ≥60 years did not correspond to statistically significant interactions. Overall and across all strata, the association of neuroticism with depression appeared to be mediated in part by the considered psychosocial factors; optimism explained the largest proportion of the association. Our results provide empirical evidence for the dynamic predisposition model. Further investigations of these relationships are warranted in longitudinal data with more precise outcome assessments.

Personality traits and depressive symptoms among Chinese older people: A network approach

BACKGROUND

The present study aims to investigate the network structure of depressive symptoms, the interrelationships between individual personality traits and depressive symptoms, and gender differences among Chinese older people aged 60 and above.

METHOD

We performed network analyses with a regularized Graphical Gaussian Model and a case-dropping bootstrap approach. A sample of 4876 older Chinese people aged 60+ was included in the analyses. We investigated the central symptoms in the depression network and the bridge nodes that connect personality facets and depressive symptoms. Gender differences were investigated by testing the global strength, network invariance, and edge weights.

RESULTS

Sadness and depressed mood were the most central depressive symptoms, while somatic symptoms such as restless sleep were the least central. Neurotic facets, particularly "worry a lot" and "get nervous easily", played significant bridging roles in the web of personality traits and depressive symptoms. Gender differences were observed in three edges among different personality traits (rude-worried, original-worried, and forgiving-nervous).

LIMITATION

The study adopts a cross-sectional dataset, and therefore, cannot track the network changes over time or conclude a causal relationship.

DISCUSSION

The study calls for more focus and prioritization on sadness, depressed mood and neurotic traits in the identification of depression among older Chinese people. Future researchers and practitioners should better understand of older Chinese adults' worry and nervousness to develop appropriate practices and policies.

Physical activity and its fluctuations in relation to depressive symptoms: A national longitudinal study among Chinese adults

BACKGROUND

Physical activity (PA) may prevent depressive symptoms, however, PA fluctuations may have different effects. Using three waves of nationally representative data, this study aimed to examine the effects of PA fluctuations on depressive symptoms.

METHODS

Participants comprised 7633 adults free of depressive symptoms at the first two waves (Mage = 45.26, 54.70 % males). They completed the China Family Panel Study in 2016 (T1), 2018 (T2), and 2020 (T3), respectively. Depressive symptoms were measured by the Center for Epidemiologic Studies Depression (CES-D) scale using a cutoff of 16. Participants' PA levels were split into regular PA or infrequent PA groups. Changes in PA levels between T1 and T2 were classified into four groups: maintained infrequent PA, initiated regular PA, ceased regular PA, and persisted regular PA.

RESULTS

The incidence of depressive symptoms was 20.22 % (19.05 % possible and 1.17 % severe depression). After multivariate adjustment, Poisson regression showed that persistent regular PA had 17.8 % (95 % CI: 0.724, 0.934) lower risks of incident depressive symptoms compared to maintained infrequent PA. And adults who ceased regular PA were more likely to experience depressive symptoms than those who persisted in regular PA (RR = 1.188, 95 % CI: 1.010, 1.398).

LIMITATIONS

All items were self-reported. CES-D only examined self-diagnosed depressive symptoms, not medical diagnoses.

CONCLUSION

Adults who persisted in regular PA may have a lower possibility of developing depressive symptoms. The finding might serve as an empirical reference to depression prevention.