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Objective To determine 1) the indexes/indicators used for evaluating the “strengthening community actions” mechanism of the Ottawa Charter for Health Promotion and 2) to extract the characteristics and key components of the indexes/indicators using a scoping review. Data Source:In May 2020, the search was conducted across three databases: Medline (via PubMed), Embase, and Scopus. Inclusion and Exclusion Criteria: All primary studies relating to development, identification, and measurement of health promotion indices/indicators associated to the “strengthening community actions” were included. The review articles were excluded. Data Extraction The data were extracted to a data-charting form that was developed by the research team. Two authors reviewed the extracted data. Data Synthesis To summarize and report the data, a descriptive numerical analysis and a narrative descriptive synthesizing approach were used. Results In total, 93 study articles were included. A majority of studies (82%) were conducted in developed countries. Different types of recognized indices were categorized into seven groups: social cohesion (n = 3), community capacity (n = 1), community participation (n = 7), social capital (n = 6), social network (n = 3), social support (n = 1), and others (n = 5). Conclusions Having a collection of “strengthening community actions” indices/indicators in hand, health policymakers and health promotion specialists might be able to do their best in considering, selecting, and applying the most appropriate indices/indicators while evaluating community health promotion interventions in different settings.

Sleep is one of the most basic human requirements. This research aims at determining the status of sleep quality and its relationship with quality of life among high-risk pregnant women in Tabriz, Iran, in 2015.This research was a sectional study done on 364 qualified women in 28-36 weeks of pregnancy suffering from mild preeclampsia and gestational diabetes. The sampling was done as convenience. Personal-social-midwifery questionnaire, Pittsburg sleep quality, and quality of life in pregnancy (QOL-ORAV) were used for gathering data. Multivariate linear regression model was used for determining the relationship between sleep quality and its subsets with quality of life and controlling confounders.In the current study, the prevalence of sleep disturbance was 96.4%. Mean (SD) of the total score of sleep quality was 10.1 (4.1) and the total score of quality of life was 61.7 (17.3). According to Pearson's correlation test, there was statistically significant relationship between quality of life and sleep quality and all its subsets except sleep duration and use of sleep medication (p 0.001). Meanwhile, according to the multivariate linear regression model, sleep latency, day time dysfunction, health status, and home air-conditioning were related with quality of life.The findings of current research show that sleep quality is low among high-risk pregnant women and quality of life is medium. So, it is necessary that required training is given by health cares for improving sleep quality and quality of life to mothers.