Major depressive disorder (MDD) is one of the most prevalent conditions among mental disorders in individuals over 65 years. People over 65 who suffer from MDD are often functionally impaired, chronically physically ill, and express cognitive problems. The concordance between a clinician-assessed MDD diagnosis in a primary care setting and MDD assessed with a structured clinical interview in older adults is only approximately 18%. Network analysis may provide an alternative statistical technique to better understand MDD in this population by a dimensional approach to symptomatology. The aim of this study was to carry out a network analysis of major depressive disorder (MDD) in people over 65 years old. A symptom network analysis was conducted according to age and gender in 555 people over 65, using a sample from the MentDis_ICF65+ Study. The results revealed different networks for men and women, and for the age groups 65–74 and 75–84. While depressive mood stood out in women, in men the network was more dispersed with fatigue or loss of energy and sleep disturbances as the main symptoms. In the 65–74 age group, the network was complex; however, in the 75–84 age group, the network was simpler with sleep disturbances as the central symptom. The gaps between the networks indicate the different characteristics of MDD in the elderly, with variations by gender and age, supporting the idea that MDD is a complex dynamic system that has unique characteristics in each person, rather than a prototypical classification with an underlying mental disorder. These unique characteristics can be taken into account in the clinical practice for detection and intervention of MDD.

The prevalence of anxiety disorders over the last year among seniors ranged from 3.6% to 17.2%. The most prevalent disorders are specific phobias. Data are needed concerning the consequences of specific phobia disorder on the level of functioning and quality of life of older people, the age of onset of specific phobia disorder, and the duration of episodes. In total, 555 community-dwelling people aged between 65 and 84 years who lived in Madrid (Spain) were assessed (Composite International Diagnostic Interview for people over 65 years (CIDI65+), WHO Disability Assessment Schedule (WHODAS II), Health of the Nation Outcome Scales for Older Adults (HoNOS65+), World Health Organization Quality of Life Brief (WHOQOL-BREF). Prevalence rates and odds ratio, t-tests, binary logistic regression, and point-biserial correlations were calculated. A total of 12.07% of the sample suffered a specific phobia disorder over the last year. The average age at onset of the specific phobia was 38.78 (sd = 21.61) years. The mean duration of the phobia was approximately 20 (sd = 20) years. A significant effect of the specific phobia was found for the current levels of functioning and quality of life: WHOQOL-BREF total score (p < 0.05), WHODAS II overall score (p < 0.01), and HoNOS65+ total score (p < 0.001). Having specific phobia disorder decreased the level of functioning and negatively affected the quality of life. These data suggest the need for primary healthcare professionals to include the detection of specific phobia disorders in their protocols because people do not receive treatment for this problem, and they might carry it throughout their lives.

The COVID-19 lockdown has had a massive psychological impact on mental health in the general population, with increases in anxiety, depression, and post-traumatic stress disorder. Spiritual well-being, specifically peace and meaning, has already been identified as one of the main protective factors for these disorders in the COVID-19 context. The aim of the present study is to identify facilitating elements for peace and meaning during the COVID-19 lockdown in Spain. Online surveys were used to obtain data from a sample of 3480 Spanish people. Self-compassion and social support were positively related with peace and meaning, while loneliness and perceived discrimination were negatively related. The model for peace and meaning was statistically significant, explaining 47% of the variance. The significant variables were self-kindness, family support, mindfulness, and sense of belonging having a positive association and loneliness a negative one.