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ObjectiveTo develop a psychometrically reliable instrument to assess psychological distress during the COVID-19 pandemic across Arab countries.DesignThe new instrument was developed through the review of relevant literature. We adapted multiple items from the following tools: The Fear of COVID-19 Scale, Social Phobia Inventory, Health Anxiety Inventory, Swine Influenza Anxiety Scale and the Arabic Scale of Death Anxiety to design our new assessment tool which is called COVID-19 Psychological Distress Scale (CPDS). For psychometric analyses and validation, we conducted a cross-sectional study that solicited data through a web-based survey using the newly developed CPDS.Setting and participantsThis validation study was conducted in four Arab countries, including Algeria, Kuwait, Saudi Arabia and Yemen. A total of 1337 participants from these countries have voluntarily responded to our survey questionnaire that included the newly developed scale.ResultsThe final version of the CPDS comprised 12 items. Participants from Algeria (n=447), Kuwait (n=437), Saudi Arabia (n=160) and Yemen (n=293) have completed the 12-item CPDS. Exploratory factor analysis (used on the Algerian sample) suggested a two-factor structure of the CPDS. The two-factor structure was then supported by the confirmatory factor analysis with an independent sample. Additionally, Rasch analyses showed that all the items fit well in their embedded construct; only one item showed somewhat substantial differential item functioning across gender and country.ConclusionThe 12-item CPDS was found to be measurement invariant across country and gender. The CPDS, with its promising psychometric properties, might help healthcare professionals to identify people with COVID-19-induced psychological distress.

It has been documented that social support influences health outcomes of persons with chronic illnesses. The incidence of HIV and AIDS among minority women is growing at an alarming rate, but little is known about social support in this vulnerable population, and even less is known about the social network conveying that support. Guided by the convoy of social networks model, this study describes the social networks in a sample of HIV-positive, urban-dwelling mothers (N = 147) by stage of disease (i.e., asymptomatic, symptomatic, AIDS) and examines relationships between social network structure and social support. Hierarchical linear modeling showed that women's social networks were disproportionately populated by children, and network members of women with AIDS were significantly older than network members of HIV-positive women with or without symptoms. Profile analyses showed that women's perceptions of the quality of social support differed according to the proportion of family members populating different segments of the social network.

Contextual factors appear to play a significant role in explaining bipolar patients' functioning after controlling for socio-demographic and clinical factors. These findings suggest that psychosocial interventions might be helpful to reduce or prevent disability associated to bipolar disorder. From an ICF model, understanding those factors may be useful to produce policy recommendations and guidelines.