Introduction: To clarify the gap between user satisfaction with home-visit nursing services and nurses' recognition of such satisfaction.Methods: A questionnaire survey on user satisfaction with home-visit nursing services was conducted involving 716 users and 112 nurses in charge, and the obtained data were analyzed to calculate the agreement rate between the users' satisfaction and the nurses' recognition.Results: The response rate was 61.1%. In total, 438 respondents were analyzed. Many users chose as an unsatisfactory nursing point. The percent agreement for satisfaction was 93.2%. The prevalence- and bias-adjusted kappa was 0.863. The users were satisfied and deemed so by the nurses in 92.5% of all cases, the former were not satisfied and deemed so by the latter in 0.7%, and the former were not satisfied, but they were deemed satisfied by the latter in 1.6%.Conclusion: This survey clarified nursing points not satisfying home-visit nursing service users, and the gap between users' satisfaction with these services and nurses' recognition of such satisfaction.

Purpose: The purpose of this study was to develop an interprofessional collaboration (IPC) scale for home health care for frail elderly. Methods: The first items of the IPC scale included collaboration members' attitudes, awareness, motivation, team strength, communication, relationships, information, care recipients' interests, effects, development, utilization of social resources, contributions to the community, and crisis management. The subjects were 512 care managers who work in home care support offices across Japan. They manage interprofessional collaboration in home health care for frail elderly who need care at 65 years old and above. The scale's construct validity, internal consistency, the validity of known groups, concurrent validity, and test-retest reliability (193 subjects) were examined. Results: The final IPC scale's items consisted of four factors (37 items): the strength of interprofessional teams (16), the management of collaborative systems (7), effects of collaboration (8), and communication (6). Four factors explained 58.6% of the total explained variance. The modified model fit of the scale achieved acceptable levels. The Cronbach's α coefficient for all items was .97. The sum of communication factor in the cities/wards group was lower than those in the towns/villages group. There were differences between the sum and each factor with different levels of ease to collaborate. The intraclass correlation coefficient for all items in the first and second assessments was .875. Conclusions The validity and reliability of the IPC scale have been verified. This scale can be used to assess the IPC for home health care for frail elderly.

BACKGROUND/OBJECTIVES: There are concerns about the adverse health effects of behavioral changes linked to coronavirus disease 2019 (COVID-19). We conducted a survey to investigate changes in lifestyle habits, including exercise and eating, during the COVID-19 pandemic and their association with changes in weight. SUBJECTS/METHODS: We conducted a survey of 5,000 people in Hakui City, Japan, to assess their lifestyles and diets during the COVID-19 pandemic. A total of 3,992 complete responses were received. We also obtained pre- and post-pandemic health check-up data for 704 of the respondents. These health data were combined with the results of the questionnaire survey to identify factors associated with weight changes. Data were analyzed for 704 individuals. RESULTS: The mean body mass index was 22.5 ± 3.1 kg/m 2 for respondents whose weight did not change and 25.1 ± 2.7 kg/m 2 for respondents whose weight increased. The pre-pandemic mean values for abdominal circumference in females and for gamma-glutamyl transferase in males tended to be higher in those whose weight increased. Those with decreased weight tended to be older. Respondents who were already overweight were more likely to gain weight because of COVID-19-related changes in their lifestyle. In males, alcohol consumption was directly associated with weight, and in females, abdominal circumference was more important. CONCLUSION The study found pre-pandemic overweight individuals likely gained more weight during it, with alcohol consumption being a significant factor for males. Weight loss was more crucial for those over 70, rather than weight gain.

BACKGROUND/OBJECTIVES: There are concerns about the adverse health effects of behavioral changes linked to coronavirus disease 2019 (COVID-19). We conducted a survey to investigate changes in lifestyle habits, including exercise and eating, during the COVID-19 pandemic and their association with changes in weight. SUBJECTS/METHODS: We conducted a survey of 5,000 people in Hakui City, Japan, to assess their lifestyles and diets during the COVID-19 pandemic. A total of 3,992 complete responses were received. We also obtained pre- and post-pandemic health check-up data for 704 of the respondents. These health data were combined with the results of the questionnaire survey to identify factors associated with weight changes. Data were analyzed for 704 individuals. RESULTS: The mean body mass index was 22.5 ± 3.1 kg/m 2 for respondents whose weight did not change and 25.1 ± 2.7 kg/m 2 for respondents whose weight increased. The pre-pandemic mean values for abdominal circumference in females and for gamma-glutamyl transferase in males tended to be higher in those whose weight increased. Those with decreased weight tended to be older. Respondents who were already overweight were more likely to gain weight because of COVID-19-related changes in their lifestyle. In males, alcohol consumption was directly associated with weight, and in females, abdominal circumference was more important. CONCLUSION The study found pre-pandemic overweight individuals likely gained more weight during it, with alcohol consumption being a significant factor for males. Weight loss was more crucial for those over 70, rather than weight gain.

BACKGROUND/OBJECTIVES: There are concerns about the adverse health effects of behavioral changes linked to coronavirus disease 2019 (COVID-19). We conducted a survey to investigate changes in lifestyle habits, including exercise and eating, during the COVID-19 pandemic and their association with changes in weight. SUBJECTS/METHODS: We conducted a survey of 5,000 people in Hakui City, Japan, to assess their lifestyles and diets during the COVID-19 pandemic. A total of 3,992 complete responses were received. We also obtained pre- and post-pandemic health check-up data for 704 of the respondents. These health data were combined with the results of the questionnaire survey to identify factors associated with weight changes. Data were analyzed for 704 individuals. RESULTS: The mean body mass index was 22.5 ± 3.1 kg/m 2 for respondents whose weight did not change and 25.1 ± 2.7 kg/m 2 for respondents whose weight increased. The pre-pandemic mean values for abdominal circumference in females and for gamma-glutamyl transferase in males tended to be higher in those whose weight increased. Those with decreased weight tended to be older. Respondents who were already overweight were more likely to gain weight because of COVID-19-related changes in their lifestyle. In males, alcohol consumption was directly associated with weight, and in females, abdominal circumference was more important. CONCLUSION The study found pre-pandemic overweight individuals likely gained more weight during it, with alcohol consumption being a significant factor for males. Weight loss was more crucial for those over 70, rather than weight gain.

BACKGROUND/OBJECTIVES: There are concerns about the adverse health effects of behavioral changes linked to coronavirus disease 2019 (COVID-19). We conducted a survey to investigate changes in lifestyle habits, including exercise and eating, during the COVID-19 pandemic and their association with changes in weight. SUBJECTS/METHODS: We conducted a survey of 5,000 people in Hakui City, Japan, to assess their lifestyles and diets during the COVID-19 pandemic. A total of 3,992 complete responses were received. We also obtained pre- and post-pandemic health check-up data for 704 of the respondents. These health data were combined with the results of the questionnaire survey to identify factors associated with weight changes. Data were analyzed for 704 individuals. RESULTS: The mean body mass index was 22.5 ± 3.1 kg/m 2 for respondents whose weight did not change and 25.1 ± 2.7 kg/m 2 for respondents whose weight increased. The pre-pandemic mean values for abdominal circumference in females and for gamma-glutamyl transferase in males tended to be higher in those whose weight increased. Those with decreased weight tended to be older. Respondents who were already overweight were more likely to gain weight because of COVID-19-related changes in their lifestyle. In males, alcohol consumption was directly associated with weight, and in females, abdominal circumference was more important. CONCLUSION The study found pre-pandemic overweight individuals likely gained more weight during it, with alcohol consumption being a significant factor for males. Weight loss was more crucial for those over 70, rather than weight gain.