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In conclusion, during the COVID-19 outbreak, public health decision makers may use e-government and social media platforms as effective tools to improve public engagement on protective behavior. This, in turn, will help the country to contain the transmission of the virus.China owns a huge labor force of around half billion workers in 2018. However, little is known about the prevalence of obesity and the association between obesity and economic status in this special population. By employing the concentration index (CI) and decomposition analysis, this paper addresses this knowledge gap by using the most recent nationally representative dataset. In specific, this study examines the prevalence of obesity and the socioeconomic gradient in the probability of obesity among Chinese workers between 16 and 65. Our results show that the prevalence of obesity is completely different by using a different measure the overall prevalence of being general obesity (measured by body mass index, BMI ≥ 28) varies by gender and residency from a minimum of 5.88% to a maximum of 9.46%, whereas abdominal obesity (measured by waist circumference, WCmale ≥ 85 cm & WCfemale ≥ 80 cm) prevalence presents a socking level from 64.53% to 67.69%. Moreover, the results show a pro-rich distribution of obesity (general and abdominal) among male workers (CIBMI = 0.112; CIWC = 0.057) and a pro-poor distribution among female workers (CIBMI = -0.141; CIWC = -0.166). We also find that the direction of the contribution of socioeconomic factors to income-related inequalities in obesity differs by gender. These results have substantial implications for the measurement of socioeconomic inequality in adiposity and for improving health-related policies targeting the Chinese labor force.Background A significant proportion of individuals exposed to maltreatment in childhood adapt positively in adulthood despite the adversities, i.e., show resilience. Little is known about resources and processes related to adulthood that promote resilience. Since women are overrepresented as victims of intrafamilial violence, understanding resilience among adult women is important. Objective To explore experiences of resilience among adult women who perceive well-being and well-functioning although being exposed to maltreatment during childhood. Participants and Setting This study included 22 women with experiences of childhood maltreatment, mean age of 48 years, living in Sweden. Methods Individual interviews were conducted and analyzed according to constructivist grounded theory. Results The process of resilience was experienced as an ongoing endeavor to live, not only survive, an internal process that interacted with external processes involving social relations and conditions. This endeavor was built on four interrelated resources establishing and maintaining command of life; employing personal resources; surrounding oneself with valuable people; and reaching acceptance. These worked together, not in a linear or chronological order, but in up and down ways, turns and straight lines (now and then), through the process from maltreatment to well-being. Conclusion Resilience was found to rest on intrapersonal and interpersonal resources. Individual's inherent capabilities can be, depending on life circumstances and available resources, realized in a way that promote well-being and well-functioning despite severe adversities. Therefore, public health initiatives, social services, and policies should provide conditions that help women maltreated in childhood to live fully rather than merely to survive.Introduction The Västerbotten Intervention Programme (VIP) in the Region Västerbotten Sweden is one of the very few cardiovascular disease (CVD) prevention programmes globally that is integrated into routine primary health care. The VIP has been shown as a cost-effective intervention to significantly reduce CVD mortality. However, little is known about the effectiveness of a digital solution to tailor risk communication strategies for supporting behavioral change. STAR-C aims to develop and evaluate a technical platform for personalized digital coaching that will support behavioral change aimed at preventing CVD. Methods STAR-C employs a mixed-methods design in seven multidisciplinary projects, which runs in two phases during 2019-2024 (i) a formative intervention design and development phase, and (ii) an intervention implementation and evaluation phase. In the 1st phase, STAR-C will model the trajectories of health behaviors and their impact on CVDs (Project 1), evaluate the role of the social environment anR-C has received approval from the Swedish Ethical Review Authority (Dnr. 2019-02924;2020-02985). Dissemination The collaboration between Umeå University and Region Västerbotten will ensure the feasibility of STAR-C in the service delivery context. Results will be communicated with decision-makers at different levels of society, stakeholders from other regions and healthcare professional organizations, and through NGOs, local and social media platforms.In this paper, quantitative and qualitative measurements of maternal psychosocial wellbeing were utilized in three districts in Malawi that guided decision-making to increase the wellbeing of adolescent mothers and promote the healthy upbringing of their children. The 1-year design stage of the study relied on several sources of information literature search, prior project implementation of similar projects, discussions with officials at the Malawi Department of Social Welfare, and observation visits in the targeted districts. The approaches for collecting data mentioned were triangulated for the development of a baseline survey. The baseline survey generated systematically collected data of the experiences and recalls as well as the missing data from the preliminary evaluation of the existing data. The baseline data gave the Young Women's Christian Association (YWCA) insight on the type of intervention required in order to give a greater and more holistic effect on the beneficiaries. SC-43 mouse We also discuss the lessons we learned as to whether the assumptions we had made at the onset were correct. If they were not correct, we explained the measures we took to correct the design or implementation of the project. Finally, the data provided benchmarks for project monitoring and evaluation.