Background: The early diagnosis and intervention of mild cognitive impairment (MCI) patients is expected to delay the progression of AD. Delayed treatment will lead to MCI patients missing the best intervention expectation. At present, the medical help-seeking behavior of this group is not optimistic. This study aimed to explore influencing factors of help-seeking behavior among patients with MCI in China based on the help-seeking behavior model. Methods: Twenty-two patients with MCI were recruited to participate in semi-structured interviews via purposeful sampling with a qualitative, descriptive design. Data were analyzed by qualitative content analysis. Results: The study revealed the main influencing factors of help-seeking behavior among MCI patients in China included perceived disease threat, symptom attribution, disease knowledge, use of cognitive compensation strategies, sense of foreseeable burden, social support, economic condition, and accessibility of medical service. Conclusions: The help-seeking behavior of patients with MCI is affected by multiple factors. There are some key factors in different stages of the help-seeking process. Healthcare providers can utilize these factors to design targeted interventions for promoting early help-seeking of patients with MCI.

Aim: Youth is a time of a significant rise in depressive symptoms, particularly impacted by anxiety in females. However, the identification of the transition from anxiety to depression in young women remains ambiguous. This study collects data on brain structure and hormone levels in young women, intending to investigate the neurophysiological differences among women with anxiety disorders and comorbid anxiety and depression (CAD). Methods: 53 young women were divided into three groups, namely an anxiety group, a CAD group, and a control group, aiming to explore the differences in brain structure and ovarian hormone levels. Results: The CAD group exhibited significantly reduced gray matter volume (GMV) in the right superior frontal gyrus (SFG; 0.38 ± 0.05) and right middle occipital gyrus (MOG; 0.37 ± 0.04) compared to the anxiety (SFG: 0.41 ± 0.04; MOG: 0.41 ± 0.04) and control groups (SFG: 0.45 ± 0.04; MOG: 0.44 ± 0.03; all p < 0.001). Cortical thickness in the right SFG was also significantly lower in the CAD group (2.81 ± 0.24) than in the anxiety (3.08 ± 0.21) and control groups (3.11 ± 0.19; p < 0.001). Progesterone was negatively correlated with GMV in the right MOG ( r = −0.48, p = 0.042) and SFG ( r = −0.53, p = 0.020) only in the CAD group. Further, no significant associations were observed between estradiol levels and brain structure, nor between anxiety/depression scores and hormone or brain data (all p > 0.070). Conclusions: The change of brain structure in the SFG and MOG may be one of the mechanisms underlying the progression of symptoms from anxiety to CAD, which may also be related to the increase in progesterone, indicating the exacerbation of emotional disorders in young women.

Prosocial behavior is fundamental for healthcare students, shaped by their traits and the external environment. Online information seeking is the most commonly used way for healthcare students to access pandemics; however, it is unclear whether the willingness of healthcare students to help others will be affected by pandemic information via the Internet environment. The current study takes the COVID-19 pandemic as an example, investigating how 81 healthcare students with varying prosocial tendencies behaved helpfully after being exposed to pandemic-related pictures online. Study 1 measured the influence of emotional contagion (positive emotion/negative emotion) from online information on students’ prosocial behavior; Study 2 examined online information’s influence on prosocial behavior by controlling individuals’ epistemic motivation (goal-directed task/no-goal-directed task) to gain pandemic information. The results indicated that negative pandemic information was more likely to influence students with low prosocial tendencies, which would then lead to a decrease in prosocial actions (F = 7.842, p = 0.005). Further, students with low prosocial tendencies were more likely to engage in prosocial behavior when they did not aim goal-directed attention to the pandemic-related information, compared to those with goal-directed attention (F = 9.159, p = 0.003). Participants with high prosocial tendencies did not differ much in helping others (p > 0.05). The results indicated that only healthcare students with limited prosocial tendencies were less inclined to assist others after receiving negative information about the pandemic. Thus, reducing their deliberate approach to online information related to the pandemic will increase their chances of taking prosocial behavior.