RESUMO
BACKGROUND AND OBJECTIVE: Exercise referral schemes and self-management strategies have shown positive effects on patient-reported and objectively measured outcomes, such as increased functional capacity and physical activity level. However, the impact of these interventions on analgesic use remains uncertain. We hypothesised that exercise referral schemes, either utilised alone or in combination with self-management strategies, is more effective in reducing use of prescription analgesics compared with a self-management strategy only. SUBJECTS AND METHODS: We utilised data from two completed randomised controlled trials, namely The Welfare Innovation in Primary Prevention (n = 121) and The SITLESS project (n = 338), and information from the national Danish health registries, including the National Prescription Registry. The two trials have investigated the effectiveness of interventions, which include exercise referral schemes and self-management strategies, on various aspects such as physical function and levels of physical activity among community-dwelling older adults. The studies were conducted in the period 2015-2020 and comprised older adults aged 65+ years, living in three different Danish municipalities. Participants were recruited through nationally regulated preventive home-visits. To estimate changes in use of prescription analgesics over time, a linear fixed effects regression model was applied. The outcome measure was the mean total yearly defined daily dose of analgesics. RESULTS: All intervention groups showed a within-group increase in overall analgesic use, though not statistically significantly different from zero. There were no differences in estimated changes in mean total yearly defined daily dose when comparing the intervention groups to the group receiving the least extensive intervention (self-management strategies/control). The findings indicated that exercise referral schemes and self-management strategies, whether administrated individually or in combination, did not result in a reduction in analgesic use over time.
Assuntos
Analgésicos , Vida Independente , Ensaios Clínicos Controlados Aleatórios como Assunto , Sistema de Registros , Autogestão , Humanos , Idoso , Masculino , Feminino , Autogestão/métodos , Dinamarca/epidemiologia , Analgésicos/administração & dosagem , Analgésicos/uso terapêutico , Ensaios Clínicos Controlados Aleatórios como Assunto/métodos , Encaminhamento e Consulta , Idoso de 80 Anos ou mais , Terapia por Exercício/métodos , Exercício Físico/fisiologiaRESUMO
BACKGROUND: Having an unhealthy lifestyle is associated with a higher risk of developing lifestyle-related diseases. Current evidence suggests that interventions targeting health-risk behaviors can help people improve their lifestyles and prevent lifestyle-related diseases. However, preventive programs are often challenged by low participation rates. Reasons for non-participation include lack of time and/or interest, and/or no perceived need for lifestyle intervention. This study explores causes for non-participation in a sample of people who chose not to take up a targeted preventive program (TOF pilot2 study). Patient-reported reasons as well as sociodemographic characteristics and lifestyle factors are in focus. METHODS: A total of 4633 patients from four Danish GP clinics received an invitation to take part in the TOF pilot2 study. Patients who chose not to participate in the TOF pilot2 study were asked to fill in a questionnaire concerning reasons for non-participation, lifestyle, BMI and self-rated health. Descriptive analyses were used to summarize the results. RESULTS: A total of 2462 patients (53.1%) chose not to participate in the TOF pilot2 study. Among these, 84 (3.4%) answered the full questionnaire on reasons for not participating, lifestyle, BMI and self-rated health. The most common reasons for non-participation were lack of time, having an already healthy lifestyle, and feeling healthy. Based on their self-reported lifestyle 45 (53.6%) of the non-participants had one or more health-risk behaviors including smoking, unhealthy diet, BMI ≥ 35 and/or sedentary lifestyle and were therefore eligible to receive the targeted intervention at the GP or the MHC in the original TOF pilot2 study. CONCLUSION: When planning future preventive programs it is important to know the main reasons for patients to not participate. This study provides rare insight into why people opt out of health interventions and advances the evidence base in this area. Our results may inform efforts to better involve these patients in preventive health programs. TRIAL REGISTRATION: Trial registration number: NCT02797392 .
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Estilo de Vida , Serviços Preventivos de Saúde , Comportamentos de Risco à Saúde , Humanos , Medidas de Resultados Relatados pelo Paciente , Serviços Preventivos de Saúde/métodos , Inquéritos e QuestionáriosRESUMO
The present study investigates whether social networks mediate the well-established positive association between religiosity and health behaviour. Most research has focused on traditional public religiosity (e.g. regular church attendance). This study, however, focuses on the Danish population in which non-traditional and private religiosity is common. We utilise data from the Danish population-based project, Early Detection and Prevention. Our results suggest that religiosity is linked to health behaviour; however, this association is not mediated by social network.
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Análise de Mediação , Religião , Dinamarca/epidemiologia , Comportamentos Relacionados com a Saúde , Humanos , Rede SocialRESUMO
In the present study, we examine the correlation between religiosity and health-related risk behaviours among citizens aged 29-60 based on a cross-sectional survey in Denmark, known for its more secular culture. Health-related risk behaviours such as smoking and alcohol intake are known to increase the risk of developing one or more chronic or life-threatening diseases. In this study religiosity, in a random sample of Danes, seems to be associated with healthier lifestyle, such as a healthier dietary pattern and less smoking, as is found in more religious cultures. Our study suggests that religious practice among Danish citizens seems to be correlated with health behaviours and that healthcare professionals should pay more attention to the connection between religiosity and health.
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Comportamentos Relacionados com a Saúde , Religião , Adulto , Estudos Transversais , Humanos , Pessoa de Meia-Idade , Assunção de Riscos , FumarRESUMO
BACKGROUND: Preventive primary care programs that aim to reduce morbidity and mortality from lifestyle-related diseases are often affected by low-to-moderate participation rates. Improving participation rates is essential for clinical effectiveness and cost-effectiveness. In 2016-2017, we conducted a pilot study (TOF pilot1) for a preventive primary care intervention (TOF is the Danish abbreviation for "Early Detection and Prevention"). Among 8814 invited patients, 3545 (40.22%) consented to participate, with the highest participation rates among women and patients with higher income, education, and employment. OBJECTIVE: The aim of this study was to evaluate the effects of a revised invitation strategy on invitation comprehensibility, the overall participation rate, and participant demography. The new strategy specifically targeted men and patients of low educational attainment. METHODS: This study was embedded in the second TOF pilot study (TOF pilot2, initiated in October 2018) that tested an adjusted intervention. The revised invitation strategy comprised a prenotification postcard and a new invitation that specifically targeted men and patients of low educational attainment. The new invitation was developed in a co-design process that included communication professionals and target-group representatives. The study sample consisted of 4633 patients aged between 29 and 59 years, who resided in one of two municipalities in the Region of Southern Denmark. Eligible patients were randomly assigned to one of four invitation groups. The control group (Group 1) received the original invitation used in TOF pilot1. The intervention groups received the original invitation and the prenotification postcard (Group 2), the new revised invitation and the prenotification postcard (Group 3), or the new invitation but no prenotification postcard (Group 4). RESULTS: Overall, 2171 (46.86%) patients consented to participate. Compared to the control group, participation rates increased significantly in all three intervention groups (all P<.001). Participation across the three intervention groups increased for women and men, as well as for patients with high and low educational attainment and high and low family income. The largest relative increase in participation rates occurred among men, patients with low educational attainment, and patients with low family income. No increase in participation was detected for unemployed patients or patients of non-Danish origin. Most participants found the original (813/987, 82.37%) and new (965/1133, 85.17%) invitations easy to understand with no significant difference (P=.08) in comprehensibility between invitations. CONCLUSIONS: The results suggest that participation in preventive primary care interventions can be greatly increased by implementing a co-design-based invitation strategy that includes prenotification postcards and targeted invitations. Although firm conclusions cannot be made from this study, the observed increased participation rates for men and patients of low socioeconomic status may be relevant in programs that aim to reduce social inequality in health. TRIAL REGISTRATION: ClinicalTrials.gov NCT03913585; https://clinicaltrials.gov/ct2/show/NCT03913585.
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Serviços Preventivos de Saúde/métodos , Serviços Preventivos de Saúde/organização & administração , Atenção Primária à Saúde/organização & administração , Adulto , Cidades , Dinamarca , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Projetos Piloto , Avaliação de Programas e Projetos de Saúde , Fatores SocioeconômicosRESUMO
Importance: Low socioeconomic status (SES) has been identified as a risk factor for the development of dementia. However, few studies have focused on the association between SES and dementia diagnostic evaluation on a population level. Objective: To investigate whether household income (HHI) is associated with dementia diagnosis and cognitive severity at the time of diagnosis. Design, Setting, and Participants: This population- and register-based cross-sectional study analyzed health, social, and economic data obtained from various Danish national registers. The study population comprised individuals who received a first-time referral for a diagnostic evaluation for dementia to the secondary health care sector of Denmark between January 1, 2017, and December 17, 2018. Dementia-related health data were retrieved from the Danish Quality Database for Dementia. Data analysis was conducted from October 2019 to December 2020. Exposures: Annual HHI (used as a proxy for SES) for 2015 and 2016 was obtained from Statistics Denmark and categorized into upper, middle, and lower tertiles within 5-year interval age groups. Main Outcomes and Measures: Dementia diagnoses (Alzheimer disease, vascular dementia, mixed dementia, dementia with Lewy bodies, Parkinson disease dementia, or other) and cognitive stages at diagnosis (cognitively intact; mild cognitive impairment but not dementia; or mild, moderate, or severe dementia) were retrieved from the database. Univariable and multivariable logistic and linear regressions adjusted for age group, sex, region of residence, household type, period (2017 and 2018), medication type, and medical conditions were analyzed for a possible association between HHI and receipt of dementia diagnosis. Results: Among the 10â¯191 individuals (mean [SD] age, 75 [10] years; 5476 women [53.7%]) included in the study, 8844 (86.8%) were diagnosed with dementia. Individuals with HHI in the upper tertile compared with those with lower-tertile HHI were less likely to receive a dementia diagnosis after referral (odds ratio, 0.65; 95% CI, 0.55-0.78) and, if diagnosed with dementia, had less severe cognitive stage (ß, -0.16; 95% CI, -0.21 to -0.10). Individuals with middle-tertile HHI did not significantly differ from those with lower-tertile HHI in terms of dementia diagnosis (odds ratio, 0.92; 95% CI, 0.77-1.09) and cognitive stage at diagnosis (ß, 0.01; 95% CI, -0.04 to 0.06). Conclusions and Relevance: The results of this study revealed a social inequality in dementia diagnostic evaluation: in Denmark, people with higher income seem to receive an earlier diagnosis. Public health strategies should target people with lower SES for earlier dementia detection and intervention.
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Demência/diagnóstico , Demência/epidemiologia , Vigilância da População/métodos , Índice de Gravidade de Doença , Classe Social , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Estudos Transversais , Dinamarca/epidemiologia , Feminino , Humanos , Masculino , Fatores de RiscoRESUMO
BACKGROUND: Recent evidence suggests the effectiveness of stepwise, targeted approaches for the prevention of lifestyle-related diseases with combinations of web-based and face-to-face interventions showing promising results. OBJECTIVE: This paper reports on 1-year changes in health-risk behaviors, BMI, self-rated health, mental well-being, and risk of disease at 1-year follow-up after participation in a stepwise intervention that targeted persons at high risk of disease and persons with health-risk behavior. To this end, we distinguish between participants who took up the full intervention (web-based plus face-to-face) and those who received only the web-based intervention. METHODS: The Early Detection and Prevention (Danish acronym: TOF) pilot study was conducted as a nonrandomized, 1-year follow-up intervention study in two municipalities in the Region of Southern Denmark. A total of 9400 citizens born between 1957 and 1986 (aged 29 to 60 years) were randomly sampled from participating general practitioner (GP) patient-list systems and were invited to take part in the study. Participants were subsequently stratified into risk groups based on their responses to a questionnaire on health-risk behavior and data from their GP's electronic patient record (EPR) system. All participants received a digital personal health profile with individualized information on current health-risk behavior and targeted advice on relevant health-risk behavior changes. In addition, patients at high risk of disease, as indicated by their digital health profile, were offered a targeted intervention at their GP. Patients who were not deemed at high risk of disease but who exhibited health-risk behaviors were offered a targeted intervention at their municipal health center (MHC). At 1-year follow-up, health-risk behaviors, self-rated health, BMI, and mental well-being were reassessed by questionnaire, and current information on diagnoses and medical treatment was retrieved from the EPRs. RESULTS: Of 598 patients at high risk of disease or with health-risk behavior, 135 took up the targeted intervention at their GP or MHC and 463 received the personal health profile only. From baseline to 1-year follow-up, the number of patients with unhealthy eating habits decreased, mean mental well-being increased, and smoking prevalence decreased in patients who had received the digital personal health profile alone. Among patients who took up the targeted intervention, unhealthy eating habits and sedentary lifestyles decreased and significant reductions in mean BMI were observed. At 1-year follow up, no health-risk behaviors were detected among 17.4% of patients who at baseline had exhibited health-risk behaviors or high risk of disease. CONCLUSIONS: A stepwise targeted preventive approach using web-based and face-to-face elements may lead to favorable lifestyle changes. Specifically, a web-based approach may improve smoking and eating habits and mental well-being, whereas supplementary face-to-face interventions may be necessary to improve exercise habits and BMI. TRIAL REGISTRATION: ClinicalTrials.gov NCT02797392; https://clinicaltrials.gov/ct2/show/NCT02797392. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12875-018-0820-8.