Validation of the Farsi version of the medical outcomes study-social support survey for mammography

Social support and cervical cancer screening among sub-Saharan African immigrant (SAI) women

BACKGROUND

Low rates of Papanicolaou (Pap) screening among sub-Saharan African immigrant (SAI) women in the US contribute to cancer diagnoses at late stages and high mortality rates. This study was conducted to examine if social support, positively associated with preventive health practices, was predictive of Pap screening in a sample of SAI women.

METHODS

We conducted a cross-sectional study with SAI women who recently immigrated to the US. Participants completed a survey to assess ever having had Pap screening and social support using the Medical Outcomes Study Social Support Survey.

RESULTS

Among the 108 SAI women in our study, Pap screening uptake was 65.7%. Affectionate and positive social support were each associated with Pap screening [adjusted odds ratio (AOR) = 1.73 (1.05, 2.87) and 1.68 (1.01, 2.78), respectively].

DISCUSSION

These findings suggest that consideration should be given to strengthening certain aspects of social support to increase uptake of Pap screening among SAI women.

Status of breast cancer screening strategies and indicators in Iran: A scoping review

Background:

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Psychological impact of COVID-19 on health-care workers: A multicenter cross-sectional study

BACKGROUND

Health-care workers (HCWs) as frontline soldiers are involved in the war against COVID-19. Not only their protection from COVID-19 is important but also their mental health is a concern. This study aimed to measure the psychological distress among HCWs in the time of COVID-19 in Isfahan, Iran.

MATERIALS AND METHODS

A cross-sectional study was conducted in the 2nd month of the spread of COVID-19 in Isfahan, Iran (March 16 to April 3). A total of 321 HCWs participated in an online survey and answered the General Health Questionnaire, the Insomnia Severity Index, and the Medical Outcomes Study Social Support Survey. t-test and ANOVA were used for comparing variables between groups. Multiple linear regression was used to evaluate the predictive factors of psychological distress.

RESULTS

About 34% of our HCWs suffer from some levels of psychological distress. The result of multiple linear regression (R 2: 0.41) shows that the predictive variables with the highest value were insomnia, working as a medical resident, and lack of social support (standardized coefficient of beta: 0.51, 0.25, and 0.16, respectively; P < 0.05).

CONCLUSION

The result of our study shows that about one-third of HCWs in COVID-19 special hospitals have some psychological problems. Being a medical resident, suffering from insomnia, and lack of social support are predictive variables.