Factors associated with self-rated health in a Norwegian population of older people participating in a preventive home visit program: a cross-sectional study

Background Assessing self-rated health by preventive home visits of older people can provide information about the person’s well-being, quality of life and risk of developing illness. The aim of this study was to examine associations between self-rated health and factors related to demographics, lifestyle, health conditions and medical diagnoses by older people participating in a preventive home visit program. Methods A cross-sectional study including 233 participants (age 75–79) from three municipalities of Western Norway was conducted. Data were collected through preventive home visits performed by six nurses, using a questionnaire including self-rated health assessment and questions and tests related to demographics (e.g. education and housing), lifestyle (e.g. social activities, alcohol and smoking), health conditions (e.g. sensory impairment, pain and limited by disease) and medical diagnoses. Descriptive and inferential statistics including linear block-wise regression model were applied. Results The block-wise regression model showed that the variables Limited by disease and Pain were negatively associated with self-rated health and Use internet was positively associated. The model had a R2 0.432. The variable that contributed to largest change in the model was Limited by disease (R2 Change; 0.297, p-value< 0.001). Conclusions In the present study, being limited by disease and pain were strongly associated with poor self-rated health, indicating that these are important factors to assess during a preventive home visit. Also, digital competence (Use internet) was associated with a better self-rated health, suggesting that it could be useful to ask, inform and motivate for the use of digital tools that may compensate for or improve social support, social contact and access to health -related information.publishedVersio

Developing teachers’ responsive pedagogy in mathematics, does it lead to short-term effects on student learning?

In this study, we examine the short-term effects of an intervention aimed at developing teachers’ responsive pedagogy in mathematics. The study analyses how an emphasis on responsive pedagogy in 9th grade classrooms over a period of seven months might strengthen students’ self-regulated learning using learning strategies, self-efficacy and achievement in mathematics. Nine schools attended as intervention group (N=40 classes; 1003 students). 11 compatible schools (N=37 classes; 896 students) were recruited as a control group. Students responded to a pre-post questionnaire and conducted a pre-post achievement test. Results show small, significant differences between the total scores for the pre- and post-measures in the intervention group for the variables elaboration, task value motivation, effort and persistence, self-efficacy and self-conception. Significant differences between the treatment and control group is found for the achievement emotions anxiety and enjoyment. No significant difference is found for achievement in mathematics

Developing teachers’ responsive pedagogy in mathematics, does it lead to short-term effects on student learning?

In this study, we examine the short-term effects of an intervention aimed at developing teachers’ responsive pedagogy in mathematics. The study analyses how an emphasis on responsive pedagogy in 9th grade classrooms over a period of seven months might strengthen students’ self-regulated learning using learning strategies, self-efficacy and achievement in mathematics. Nine schools attended as intervention group (N=40 classes; 1003 students). 11 compatible schools (N=37 classes; 896 students) were recruited as a control group. Students responded to a pre-post questionnaire and conducted a pre-post achievement test. Results show small, significant differences between the total scores for the pre- and post-measures in the intervention group for the variables elaboration, task value motivation, effort and persistence, self-efficacy and self-conception. Significant differences between the treatment and control group is found for the achievement emotions anxiety and enjoyment. No significant difference is found for achievement in mathematics

Factors associated with self-rated health in a Norwegian population of older people participating in a preventive home visit program: a cross-sectional study

Background Assessing self-rated health by preventive home visits of older people can provide information about the person’s well-being, quality of life and risk of developing illness. The aim of this study was to examine associations between self-rated health and factors related to demographics, lifestyle, health conditions and medical diagnoses by older people participating in a preventive home visit program. Methods A cross-sectional study including 233 participants (age 75–79) from three municipalities of Western Norway was conducted. Data were collected through preventive home visits performed by six nurses, using a questionnaire including self-rated health assessment and questions and tests related to demographics (e.g. education and housing), lifestyle (e.g. social activities, alcohol and smoking), health conditions (e.g. sensory impairment, pain and limited by disease) and medical diagnoses. Descriptive and inferential statistics including linear block-wise regression model were applied. Results The block-wise regression model showed that the variables Limited by disease and Pain were negatively associated with self-rated health and Use internet was positively associated. The model had a R2 0.432. The variable that contributed to largest change in the model was Limited by disease (R2 Change; 0.297, p-value< 0.001). Conclusions In the present study, being limited by disease and pain were strongly associated with poor self-rated health, indicating that these are important factors to assess during a preventive home visit. Also, digital competence (Use internet) was associated with a better self-rated health, suggesting that it could be useful to ask, inform and motivate for the use of digital tools that may compensate for or improve social support, social contact and access to health -related information

Factors associated with self-rated health in a Norwegian population of older people participating in a preventive home visit program: a cross-sectional study

Background Assessing self-rated health by preventive home visits of older people can provide information about the person’s well-being, quality of life and risk of developing illness. The aim of this study was to examine associations between self-rated health and factors related to demographics, lifestyle, health conditions and medical diagnoses by older people participating in a preventive home visit program. Methods A cross-sectional study including 233 participants (age 75–79) from three municipalities of Western Norway was conducted. Data were collected through preventive home visits performed by six nurses, using a questionnaire including self-rated health assessment and questions and tests related to demographics (e.g. education and housing), lifestyle (e.g. social activities, alcohol and smoking), health conditions (e.g. sensory impairment, pain and limited by disease) and medical diagnoses. Descriptive and inferential statistics including linear block-wise regression model were applied. Results The block-wise regression model showed that the variables Limited by disease and Pain were negatively associated with self-rated health and Use internet was positively associated. The model had a R2 0.432. The variable that contributed to largest change in the model was Limited by disease (R2 Change; 0.297, p-value< 0.001). Conclusions In the present study, being limited by disease and pain were strongly associated with poor self-rated health, indicating that these are important factors to assess during a preventive home visit. Also, digital competence (Use internet) was associated with a better self-rated health, suggesting that it could be useful to ask, inform and motivate for the use of digital tools that may compensate for or improve social support, social contact and access to health -related information

Polypharmacy and potential drug–drug interactions in home-dwelling older people – a cross-sectional study

Background: Risks associated with polypharmacy and drug–drug interactions represent a challenge in drug treatment, especially in older adults. The aim of the present study was to assess the use of prescription and non-prescription drugs and the frequency of potential drug–drug interactions in home-dwelling older individuals. Methods: A cross-sectional study design was applied. Data were collected during preventive home visits among individuals aged ≥ 75 in three separate communities of Western Norway. A questionnaire, which was filled out by the individual, their next-of-kin, and the nurse performing the home visit was used for the collection of demographic and clinical data (age, sex, medication use, diagnoses, need of assistance with drug administration). Potential drug–drug interactions were identified electronically by IBM Micromedex Drug Interaction Checking. Point prevalence of potential drug–drug interactions and polypharmacy (≥ 5 drugs) were calculated. Binary logistic regression analyses were performed to assess factors potentially associated with polypharmacy or potential drug–drug interactions. Results: Among the 233 individuals (mean age 78± 3 years, 46% male) included in the study, 43% used ≥ 5 drugs, 3.4% ≥ 10 drugs, while 4.3% used no drugs. In 54% of the 197 individuals using two or more drugs, at least one potential drug–drug interaction was detected. Low-dose aspirin and simvastatin were most frequently involved in potential drug–drug interactions. In total, 25% of the individuals reported current use of drugs sold over the counter of which more than 95% were analgesic drugs. Potential drug–drug interactions involving ibuprofen were identified in nine of 11 (82%) individuals using over-the-counter ibuprofen. Conclusion: The study revealed a high prevalence of polypharmacy and potential drug–drug interactions with both prescription and non-prescription drugs in older home-dwelling individuals. Close monitoring of the patients at risk of drug–drug interactions, and increased awareness of the potential of over-the-counter drugs to cause drug–drug interactions, is needed