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Background Multimorbidity is an increasing public health concern and is associated with a range of further adverse outcomes. Identification of disease patterns as well as characteristics of populations affected by multimorbidity is important for prevention strategies to identify those at risk. Aim The aim of the study was to identify and describe demographic characteristics of multimorbidity classes in three age groups (16-44 years, 45-64 years, and 65+ years). Methods Based on register information on 47 chronic diseases and conditions, we used latent class analysis to identify multimorbidity classes in a random sample of the Danish population (n = 470,794). Information on sociodemographic characteristics (age, sex, region of origin, educational level, employment status, and marital status) was obtained from registers and linked to the study population. Age-and sex-adjusted multinomial logistic regression models were used to examine associations between multimorbidity classes and sociodemographic characteristics. Results We identified seven classes among individuals in the age groups 45-64 years and 65+ years and five classes in the age group 16-44 years. Overall, the classes were similar in the three age groups, but varied in size, i.e. the class 'No or few diseases' was larger in the younger age group. The class 'Many diseases' (a class with both somatic diseases and mental illnesses) was only seen in individuals aged 45-64 years and 65+ years. There were social inequalities in odds of belonging to the multimorbidity classes compared to the healthier class. These social inequalities varied but were especially strong in the classes named 'Many diseases' and 'Mental illness, epilepsy'.

Aims: This study aimed to describe the study design and respondent characteristics (including non-response analyses) of the Danish Health and Wellbeing Surveys in 2015 and 2019 and a follow-up survey that was carried out during the COVID-19 pandemic in 2020. Methods: The Danish Health and Wellbeing Survey is the Danish part of the European Health Interview Survey (EHIS). The samples in 2015 ( N=12,000) and 2019 ( N=14,000) were both based on a simple random selection of individuals aged ⩾15 years from the Danish Civil Registration System. All individuals from the sample in 2019 who were still alive and living in Denmark were reinvited for a follow-up survey in 2020 ( N=13,474). Data in all surveys were collected via self-administered questionnaires (web or paper based). The questionnaires in 2015 and 2019 included the EHIS model questionnaire as well as national questions, whereas the questionnaire in 2020 mainly focused on physical and mental health, employment and working lives, and health behaviour. Results: The overall response proportion declined slightly between 2015 (48.4%) and 2019 (47.4%) but went up to 49.8% in the follow-up survey in 2020. Unit non-response was associated with, for example, male sex, younger age, being unmarried and lower educational level but not with degree of urbanisation. In all, 5000 individuals completed the questionnaire in both 2019 and 2020. Conclusions: The results are in line with most previous research on non-response in health surveys. However, an association between degree of urbanisation and non-response has been suggested in previous studies. This association was not found in our study.

Meat intake has been linked to increased risk of colorectal cancer (CRC) and mortality. However, diet composition may affect the risks. We aimed to estimate associations between red and processed meat and poultry intake and risk of CRC and all-cause mortality and if they are modified by dietary quality using Cox regression analyses. Baseline dietary data were obtained from three survey rounds of the Danish National Survey on Diet and Physical Activity. Data on CRC and all-cause mortality were extracted from national registers. The cohort was followed from date of survey interview—or for CRC, from age 50 years, whichever came last, until 31 December 2017. Meat intake was analysed categorically and continuously, and stratified by dietary quality for 15–75-year-old Danes at baseline, n 6282 for CRC and n 9848 for mortality analyses. We found no significant association between red and processed meat intake and CRC risk. For poultry, increased CRC risk for high versus low intake (HR 1.62; 95%CI 1.13–2.31) was found, but not when examining risk change per 100 g increased intake. We showed no association between meat intake and all-cause mortality. The association between meat intake and CRC or mortality risk was not modified by dietary quality.

•Uptake of immunisation and child health examination is associated with low household income, unemployment and low educational status among the parents. •Uptake may be even lower among refugee families as they constitute a vulnerable group regarding access to healthcare. What is New: •Refugee children had lower uptake of immunisations and child health examinations compared to Danish-born children. •Several predictors of uptake were identified including region of origin and duration of residence.