No abstract

2016-11-03T14:11:40

Stress and coping abilities influence the health and work performance of nurses. However, little is known about the combined influence of stress perception and perceived coping adequacy and its impact on the health of nurses. This study examined the relationship between stress, coping, and the combined influences of perceived stress and coping abilities on health and work performance. A valid and reliable questionnaire was completed by 120 nurses in a Midwestern hospital in the USA. In general, the nurses were not healthy: 92% had moderate-to-very high stress levels; 78% slept less than 8 hours of sleep per night; 69% did not exercise regularly; 63% consumed less than 5 servings of fruits and vegetables per day; and 22% were classified as binge drinkers. When confronted with workplace stress, 70% of nurses reported that they consumed more junk food and 63% reported that they consumed more food than usual as a way of coping. Nurses in the “high stress/poor coping” group had the poorest health outcomes and highest health risk behaviors compared to those in other groups. The combined variables of perceived stress and perceived coping adequacy influenced the health of nurses. Therefore, worksite health promotion programs for nurses should focus equally on stress reduction, stress management, and the development of healthy coping skills.

Background The mental health impact of the pandemic after the initial lockdowns has not been well studied in the USA. Thus, the purpose of this study was to conduct a comprehensive and systematic national assessment of the prevalence of depression and anxiety in the adult US population. Methods A multi-item, valid and reliable questionnaire was deployed online via mTurk and social media sites to recruit adult US participants in the general population across the USA. A total of 1978 individuals participated in the study, where the majority were: females (51%), whites (74%), non-Hispanic (81%), married (56%), employed full time (68%) and with a bachelor’s degree or higher (78%). Results The prevalence of depression (39%), anxiety (42%) and psychological distress (39%) were computed from the PHQ-4 scale. In multiple regression analyses, depression, anxiety and psychological distress burden (assessed by PHQ-4 scale) was predicted significantly based on race, ethnicity, age, having children at home, employment as a healthcare worker, annual household income and area of residence. Males were more likely to have depression, and females were more likely to have anxiety symptoms. Conclusions Given the high prevalence of depression and anxiety, interdisciplinary and multisectoral approaches are recommended in the USA along with population-based interventions on mental health improvement.

Background The COVID-19 pandemic has affected the lives of people in many ways. However, little is known about weight gain in American adults during the pandemic. Aims and methods The purpose of this study was to conduct a national assessment of weight gain in adult Americans after the first year of the pandemic. An online questionnaire was employed to explore perceptions of adults regarding pandemic weight gain and the relationship between weight gain and sociodemographic characteristics, pre-pandemic weight status, and psychological distress. Multiple methods were used to assess the psychometric properties of the questionnaire (i.e., face validity, content validity, and internal consistency reliability testing). Chi-Square tests and logistic regression analysis were used to assess group differences and predictors of weight gain in the study participants. Results A total of 3473 individuals participated in the study with weight changes distributed as: gained weight (48%), remained the same weight (34%), or lost weight (18%). Those who reported being very overweight before the pandemic were most likely to gain weight (65%) versus those who reported being slightly overweight (58%) or normal weight before the pandemic (40%). Weight gain was statistically significantly higher in those with anxiety (53%), depression (52%), or symptoms of both (52%). The final multiple regression model found that the statistically significant predictors of pandemic weight gain were psychological distress, pre-pandemic weight status, having children at home; and time since last bodyweight check. Conclusions Population health promotion strategies in the pandemic should emphasize stress reduction to help individuals manage body weight and avoid chronic diseases in the future.