Visit Experience and Fulfillment of Care Needs in Primary Care Differs for Video Visits Compared to In-person and Chat Visits.

BACKGROUND: There is a lack of research comparing patient experience and to what extent patients' care needs are fulfilled in telemedicine compared to in-person care. OBJECTIVE: To investigate if patient experience and fulfillment of care needs differ between video and chat visits with direct to consumer telemedicine providers compared to in-person visits. DESIGN: Cross-sectional study. PARTICIPANTS: Adults visiting a primary care physician in person or via chat or video in Region Stockholm, Sweden, October 2020-May 2021. MAIN MEASURES: Patient-reported visit experience and fulfillment of care needs. KEY RESULTS: The sample included 3315 patients who had an in-person (1950), video (844), or chat (521) visit. Response rates were 42% for in-person visitors and 41% for telemedicine visitors. Patients were 18-97 years old, mean age of 51 years, and 66% were female. In-person visitors reported the most positive patient experience ("To a very high degree" or "Yes, completely") for being listened to (64%), being treated with care (64%), and feeling trust and confidence in the health care professional (76%). Chat visitors reported the most positive patient experience for being given enough time (61%) and having care needs fulfilled during the care visit (76%). Video visitors had the largest proportion of respondents choosing "To a very low degree" or "No, not at all" for all visit experience measures. There were statistically significant differences in the distribution of visit experiences between in-person, video, and chat visits for all visit experience measures (P < 0.001). CONCLUSIONS: Video visits were associated with a more negative visit experience and lower fulfillment of care needs than in-person visits. Chat visits were associated with a similar patient experience and fulfillment of care needs as in-person visits. Chat visits may be a viable alternative to in-person visits for selected patients.

Individual Patient Factors Associated with the Use of Physical or Digital Primary Care in Sweden.

Introduction: Little is known about factors that influence patients' choice to use physical or digital primary care. This study aimed to compare self-rated health, internet habits, and what patients deem important when choosing health care between users of physical and digital primary health care. Methods: We recruited 2,716 adults visiting one of six physical or four digital primary health care providers in Stockholm, Sweden, October 2020 to May 2021. Participants answered a questionnaire with questions about sociodemography, self-rated health, internet habits, and what they considered important when seeking care. We used logistic regression and estimated odds ratios (ORs) for choosing digital care. Results: Digital users considered themselves healthier and used the internet more, compared with physical users (p < 0.001). Competence of health care staff was the most important factor when seeking care to both physical and digital users (90% and 78%, respectively). Patients considering it important to avoid leaving home were more likely to seek digital care (OR 29.55, 95% confidence interval [CI] 12.65-69.06), while patients valuing continuity were more likely to seek physical care (OR 0.25, 95% CI 0.19-0.32). These factors were significant also when adjusting for self-rated health and sociodemographic characteristics. Conclusion: What patients considered important when seeking health care was associated with what type of care they sought. Patient preferences should be considered when planning health care to optimize resource allocation.

Nordic Nutrition Recommendations and risk of myocardial infarction and stroke: a prospective cohort study.

PURPOSE: The Nordic Nutrition Recommendations (NNR) are developed to prevent diet-related diseases. This study aimed to examine adherence to the NNR and risk of myocardial infarction (MI) and stroke among women and men in Sweden. METHODS: We followed 34,898 adults from 1997 to 2016. Dietary intake was assessed once at baseline using a food frequency questionnaire. Adherence scores corresponding to NNR-editions from 2023, 2012, 2004 and 1996 were calculated. Scores were categorized into low (reference category), moderate and high adherence. Cox proportional hazards regression models adjusted for potential confounders were used to estimate hazards ratios (HR) with 95% confidence intervals (CI). RESULTS: We identified 1649 incident cases of MI and 2071 incident cases of stroke during follow-up (mean 17.9 years). For each 1-point increase in the NNR2023-score (range 0-9), the rate of MI decreased by 14% (HR: 0.86; 95% CI 0.78-0.95). High adherence was associated with a lower rate of MI (HR: 0.72; 95% CI 0.59-0.87) (p-trend = 0.01). Moderate adherence was associated with a lower rate of stroke (HR: 0.88; 95% CI 0.78-0.99) (p-trend = 0.31). Among women, a 23% lower rate of MI (HR: 0.77; 95% CI 0.67-0.89) was observed for each 1-point increase, and high adherence was associated with a lower rate of MI (HR: 0.59; 95% CI 0.45-0.78). No associations were found in men. The results were similar, though attenuated, for earlier NNR-editions. CONCLUSION: Adherence to the NNR was associated with a reduced risk of MI. This association was more pronounced among women than among men and in more recent NNR-editions. The findings for stroke need further investigation.

A validation study comparing energy and nutrient intake between a web-based food frequency questionnaire and a 4-d dietary record.

OBJECTIVE: Reliable assessments of dietary intake is crucial when examining associations between dietary factors and different outcomes. Today, web-based instead of paper-based food frequency questionnaires (FFQs) are common. A web-based FFQ implies a different experience (including design differences, the possibility only to show relevant questions, and automatic checks for completeness) and may capture dietary intake differently. The aim of this study was to validate a well-used paper-based FFQ transferred to a web-based version against a 4-d dietary record. METHODS: Baseline data from a dietary intervention study comprising women and men with type 2 diabetes were used. Diet was assessed with the web-based FFQ and a 4-d dietary record. Energy intake and energy-adjusted nutrient intakes were assessed and compared using Spearman's rank correlation and Bland-Altman analysis. The analysis included 101 participants. RESULTS: The average energy intake with the FFQ was 2068 kcal, 157 kcal higher than the average from the dietary record. Significant deattenuated correlations were found for intake of energy (r = 0.37; 95% confidence interval [CI],0.19-0.53), carbohydrates (r = 0.85; 95% CI, 0.78-0.89), protein (r = 0.53; 95% CI, 0.38-0.66) and fat (r = 0.59; 95% CI, 0.44-0.70). Significant deattenuated correlations (ranging r = 0.26-0.73) were found for intake of alcohol, whole grain, fiber, saturated fat, monounsaturated fat, polyunsaturated fat, cholesterol, vitamins A, B12, C, D, and E, folate, iron, potassium, magnesium, and calcium. Bland-Altman analyses showed no clear trends but wide limits of agreement. CONCLUSION: Overall, the web-based FFQ performed well and is similar to the paper-based version. It can be a useful tool for dietary assessments.

The effect of an app-based dietary intervention on diet-related greenhouse gas emissions - results from a randomized controlled trial.

BACKGROUND: Dietary change towards a diet low in greenhouse gas emissions (GHGEs) can reduce climate impact and improve individual-level health. However, there is a lack of understanding if diet interventions can achieve low-GHGE diets. METHODS: A randomized controlled trial was conducted to assess the effects of an app-based intervention. The intervention was designed to improve dietary intake of people with Type 2 diabetes, and was delivered via an app over 12 weeks, with each week covering one diet-related topic. Dietary intake was assessed at baseline and 3-month follow up by a 95-item food frequency questionnaire and linked to GHGE values. A total of n = 93 participants (n = 46 and n = 47 for the intervention and control group, respectively) were included in the analysis. Changes to GHGEs within and between the groups were analysed with inferential statistics. RESULTS: The majority (60%) of participants were male, with a mean age of 63.2 years and body mass index of 30 kg/m2. At baseline, diet-related GHGEs were 4.8 and 4.9 kg CO2-eq/day in the intervention and control group, respectively. At 3-month follow up the corresponding GHGEs were 4.7 and 4.9 kg CO2-eq/day. We found no statistically significant changes to diet-related GHGEs within or between groups, or within food categories, from baseline to 3-month follow up. CONCLUSION: No evidence was found for the effectiveness of the app-based intervention to generate changes to diet-related GHGEs in a population of people with Type 2 diabetes. However, future interventions that target reducing meat consumption specifically may have the potential to result in a reduction of individual-level diet-related GHGEs. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03784612. Registered 24 December 2018. www. CLINICALTRIALS: gov/ct2/show/NCT03784612 .

Dietary habits after a physical activity mHealth intervention: a randomized controlled trial.

BACKGROUND: A healthy diet and a sufficient amount of physical activity are important factors to reduce complications of type 2 diabetes. Diet and physical activity are associated behaviours. Individuals who are physically active have also been shown to have healthier eating habits than sedentary individuals. We aimed to evaluate the indirect effect of a smartphone-based physical activity intervention on dietary habits in patients with type 2 diabetes. METHODS: We performed analyses of secondary outcomes in a randomized controlled trial. The active intervention was use of a smartphone application to promote physical activity during 12 weeks. Dietary intake was assessed at baseline and after three months using a validated semi-quantitative food frequency questionnaire comprising 94 items. We analysed changes in the intake of fruit and vegetables, snacks, fibre, whole grains, vitamin C, saturated fat, unsaturated fat and total energy. We also assessed overall dietary habits using a dietary index developed by the Swedish National Board of Health and Welfare. Results were compared between the intervention and control group, as well as stratified by sex within the study groups. Paired t-tests and analysis of covariance were performed. RESULTS: A total of 181 patients were recruited to the DiaCert-study, whereof 146 patients had complete dietary data and were included in the analyses. Women in the intervention group had a higher fruit and vegetable intake (p = 0.008) and a higher dietary index (p = 0.007), at three-months compared to women in the control group. They had increased their daily intake of fruit and vegetables by on average 87.4 g/day (p = 0.04) and improved their dietary index by on average 0.8 points (p = 0.01) from baseline to follow-up. No effect was found in men. CONCLUSIONS: Women, but not men, receiving a smartphone-based physical activity intervention improved their total intake of fruit and vegetables. The transfer effect, i.e. an intervention aimed at promoting one health behavior that facilitates changes in other health behaviors, may differ between the sexes. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03053336; 15/02/2017.

Does eating behaviour among adolescents and young adults seeking obesity treatment differ depending on sex, body composition, and parental country of birth?

BACKGROUND: Adolescents and young adults around the world experience high rates of weight gain. The underlying eating behaviours that may lead to overconsumption of energy are complex and can depend on a number of factors. The aim of this study was to explore if eating behaviour among adolescents and young adults referred to specialized obesity treatment differed depending on sex, body composition, and parental country of birth. METHODS: Adolescents and young adults aged 16-25 years, referred for obesity treatment in 2018-2021 were included in the study. Eating behaviour was assessed using the Three Factor Eating Questionnaire, comprising domains of uncontrolled-, emotional- and cognitive restraint eating. Student's t-test was used to compare differences in eating behaviour scores between males and females, and between those having at least one parent born in a Nordic country and those with both parents born outside the Nordic countries. Associations between BMI, waist circumference, and body fat percentage, and eating behaviour as the dependent variable, were examined using linear regression. RESULTS: A total of 463 participants, mean age 21 years and mean BMI 41.3 kg/m2, were included in the analysis. Females scored statistically significantly higher than males on emotional eating (45.8 vs. 35.4, p = 0.002) and cognitive restraint eating (45.4 vs. 39.2, p = 0.009). Participants with at least one parent born in a Nordic country reported a statistically significantly lower score of uncontrolled eating (45.7 vs. 51.3, p = 0.02) compared to participants with both parents born outside the Nordic countries. Further, there were statistically significant inverse associations between cognitive restraint eating scores and BMI (ß=-0.64, 95%CI: -0.97 to -0.31), waist circumference (ß=-0.44, 95%CI: -0.61 to -0.27) and body fat percentage (ß=-0.57, 95%CI: -1.01 to -0.14) in models adjusted for age, sex, smoking, and civil status. CONCLUSION: Our findings suggest that sex and parental country of birth may influence eating behaviours among adolescents and young adults referred for specialist obesity treatment. We also found that cognitive restraint eating decreased with increasing BMI, waist circumference, and body fat percentage. This indicates that there may be an inverse association between the ability to restrain oneself from eating and gaining weight, however, the direction of the association must be investigated further. Increased knowledge about eating behaviours may be valuable in the clinical setting.

Screen time and physical activity in children and adolescents aged 10-15 years.

BACKGROUND: Previous research studies have demonstrated a relationship between low levels of physical activity and high amounts of screen time in children and adolescents. However, this is usually based on self-reported data. Therefore, the aim of this cross-sectional study was to investigate the association between objectively measured smartphone screen time and physical activity among children and adolescents aged 10-15 years. METHODS: During seven consecutive days, we objectively assessed smartphone screen time, using the SCRIIN smartphone application, and physical activity, using the SCRIIN activity tracker, in children and adolescents recruited from two schools in Stockholm County, Sweden. Moreover, the children/adolescents and their parents responded to a questionnaire, obtaining among other things: self-reported screen time, physical activity, sleep and health-related quality of life. RESULTS: A total of 121 children and adolescents (mean age: 12.1 ± 1.5) were included in the study. Objectively measured smartphone screen time was 161.2 ± 81.1 min/day. Mean physical activity, measured with the SCRIIN activity tracker, was 32.6 ± 16.5 active min/day. Minutes of screen time and physical activity did not differ between the children and adolescents from the two schools, despite located in different socioeconomic areas. Further, we found no association between smartphone screen time and physical activity. However, girls aged 14-15 years, had more smartphone screen time (p<0.01) and were significantly more physically active (p<0.01) than girls aged 10-12 years. In addition, boys reported more than five times more time spent on computer and video games than girls did. CONCLUSION: Smartphone screen time was not associated with physical activity level among children and adolescents aged 10-15 years.

Digital Support for Healthier Eating Habits Among Patients With Type 2 Diabetes: Protocol for a Randomized Clinical Trial Within Primary Care (HAPPY Trial).

BACKGROUND: Despite the large impact that dietary habits have in the management of diabetes, few tools for supporting healthy eating habits are available for persons with diabetes. OBJECTIVE: The aim of this randomized clinical trial is to evaluate the effect of a 12-week, mobile health (mHealth), app-based intervention promoting healthy eating habits among patients with type 2 diabetes. METHODS: The HAPPY (Healthy eating using APP technologY) trial is a randomized clinical trial with two arms aiming to include 200 patients, 18 years of age or older, with type 2 diabetes. Both women and men are eligible for inclusion. Study participants are randomized 1:1 to an intervention group, where they are instructed to use a smartphone app promoting healthy eating, or to a control group, where they receive standard primary care only, for a period of 12 weeks. Each week a new topic (eg, vegetable intake) is introduced via the app. After an introduction text, the user is given a topic-related activity to perform (eg, eat one additional serving of vegetables per day during that week). The app records daily progress and sends automatic reminders or feedback to the user. Dietary intake, body composition, clinical variables, and biomarkers are measured at baseline and at 3- and 6-month follow-ups. An extensive web-based questionnaire comprising several validated questionnaires assessing a number of lifestyle factors is distributed via email at baseline and at 3-, 6-, and 12-month follow-ups; lifestyle factors include, for example, sleep, physical activity, eating behavior, and health-related quality of life. The effect of the intervention on dietary intake (primary outcome) and on glycated hemoglobin and blood lipid levels, body composition, blood pressure, other lifestyle factors, and overall health (secondary outcomes) will be assessed. RESULTS: Data collection is ongoing. Recruitment of participants started in January 2019. Findings from the study are expected to be published by the end of 2021. CONCLUSIONS: Technology development provides new ways to promote and support long-term adherence to healthier eating habits. mHealth-based approaches allow for real-time interaction and the delivery of an intervention at any time. Further, focusing on overall diet allows the user to apply new knowledge to current eating patterns, creating an individualized approach. In this study, we evaluate the effect of using a new smartphone app promoting healthy eating habits on dietary intake, clinical markers, and lifestyle factors among patients with type 2 diabetes. TRIAL REGISTRATION: ClinicalTrials.gov NCT03784612; https://clinicaltrials.gov/ct2/show/NCT03784612. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/24422.

The dioxin-like pollutant PCB 126 (3,3',4,4',5-pentachlorobiphenyl) affects risk factors for cardiovascular disease in female rats.

Epidemiological studies suggest that exposure to persistent organic pollutants such as organochlorines might induce cardiovascular disorders and diabetes. Some of these organochlorines, such as dioxins and some dioxin-like PCBs, have been characterised as anti-estrogenic due to their inhibition of estrogenic-induced responses. In the present pilot study, 40 female rats were subjected to either exposure to the dioxin-like 3,3',4,4',5-pentachlorobiphenyl (PCB 126) or vehicle, as well as ovariectomy (OVX) or sham operation in a 2 x 2 factorial design over 12 weeks to explore potential interactions between estrogen status and PCB 126 exposure on cardiovascular risk factors. PCB 126 increased heart weight and serum cholesterol levels in both groups. PCB 126 increased blood pressure in the sham-operated animals only. In conclusion, PCB 126 exposure in female rats resulted in effects on cardiovascular risk factors, such as serum cholesterol, blood pressure, and heart weight. Of these effects of PCB 126, the increase in blood pressure was dependent on estrogen status.