Changes in loneliness prevalence in Denmark in the 21st century: Age-period-cohort analysis.

AIM: The aim of this study was to investigate changes in the prevalence of loneliness in Denmark from 2000 to 2021 by conducting age-period-cohort analysis. METHODS: Our study was based on a sample (N=83,437; age: ⩾16 years) of the Danish Health and Morbidity Surveys conducted in Denmark in 2000, 2005, 2010, 2013, 2017 and 2021. We used logistic regression models by gender to estimate the age-period-cohort effects, with loneliness as the dependent variable and age, survey year and birth cohort as independent variables, mutually adjusted. RESULTS: The prevalence of adult loneliness increased by each survey year over the entire period (from 13.2% in 2000 to 27.4% in 2021 among men and from 18.8% to 33.7% among women). Overall, a U-shaped curve, for the prevalence of loneliness among different age groups, was observed, which was most pronounced among women. The greatest increase in the prevalence of loneliness from 2000 to 2021 was observed among the youngest age group (16-24 years), with 28.4 and 30.7 percentage points for men and women. No significant cohort effect was observed. CONCLUSIONS: The observed increase in loneliness prevalence from 2000 to 2021 was driven by period and age effects rather than cohort effects. It should be noted that data from 2021 were collected during a national lockdown due to an outbreak of COVID-19, which could explain part of the large increase in loneliness from 2017 to 2021.

Changes in adult obesity prevalence in Denmark, 1987-2021: age-period-cohort analysis of nationally representative data.

BACKGROUND: During the last decades, the prevalence of obesity [body mass index (BMI): weight/height2), ≥30.00 kg/m2] among adults has increased considerably. We examined whether this increase in a high-income, welfare state, like Denmark was driven by age, period or cohort effects, which would inform preventive strategies aiming at reducing the prevalence. METHODS: We used data from the National Representative Health and Morbidity Studies, which are representative surveys of the Danish adult population (age 16 years and above), conducted in 1987, 1994, 2000, 2005, 2010, 2013, 2017 and 2021 (N = 91 684). Participants reported height and weight, from which BMI was calculated after correction for systematic bias in self-reported data and non-response. Age, survey year and birth cohorts were mutually adjusted and adjusted for sex in generalized linear models. RESULTS: The obesity prevalence increased from 6.1% in 1987 to 18.4% in 2021, similarly in men (18.8%) and women (18.0%) and in all age groups. Age had an inverted u-shaped effect on the prevalence. Compared with individuals aged 16-24 years, the highest rate of obesity was seen for the age group 55-64 years [rate ratio 3.27, 95% confidence interval (CI): 2.58; 4.14]. The increasing rate for each recent survey year over time was compatible with a period effect without any birth cohort effects. The rate for obesity in 2021 was 4.16 in 1987 vs. 1987 (95% CI: 3.10; 5.59). CONCLUSIONS: Obesity prevalence in Denmark increased steadily during the period 1987 through 2021, primarily driven by secular changes over time across all ages and birth cohorts.

Post-conflict household structures and underweight: a multilevel analysis of a community-based study in northern Uganda.

OBJECTIVE: To examine associations between household-level characteristics and underweight in a post-conflict population. DESIGN: Nutritional status of residents in the Gulu Health and Demographic Surveillance Site was obtained during a community-based cross-sectional study, ~6 years after the civil war. Household-level factors included headship, polygamy, household size, child-to-adult ratio, child crowding, living with a stunted or overweight person, deprived area, distance to health centre and socio-economic status. Multilevel logistic regression models examined associations of household and community factors with underweight, calculating OR, corresponding 95 % CI and intraclass correlation coefficients. Effect modification by gender and age was examined by interaction terms and stratified analyses. SETTING: Rural post-conflict area in northern Uganda. SUBJECTS: In total, 2799 households and 11 312 individuals were included, representing all age groups. RESULTS: Living in a female-headed v. male-headed household was associated (OR; 95 % CI) with higher odds for underweight among adult men (2·18; 1·11, 4·27) and girls <5 years (1·51; 0·97, 2·34), but lower odds among adolescent women aged 13-19 years (0·46; 0·22, 0·97). Higher odds was seen for residents living in deprived areas (1·37; 0·97, 1·94), with increasing distance to health services (P-trend <0·05) and among adult men living alone v. living in an average-sized household of seven members (3·23; 1·22, 8·59). Residents living in polygamous households had lower odds for underweight (0·79; 0·65, 0·97). CONCLUSIONS: The gender- and age-specific associations between household-level factors and underweight are likely to reflect local social capital structures. Adapting to these is crucial before implementing health and nutrition interventions.

Gender and age disparities in adult undernutrition in northern Uganda: high-risk groups not targeted by food aid programmes.

OBJECTIVE: To determine the prevalence of adult malnutrition and associated risk factors in a post-conflict area of northern Uganda. METHODS: A cross-sectional community survey was performed from September 2011 to June 2013. All registered residents in Gulu Health and Demographic Surveillance System aged 15 years and older were considered eligible. Trained field assistants collected anthropometric measurements (weight and height) and administered questionnaires with information on sociodemographic characteristics, food security, smoking and alcohol. Nutritional status was classified by body mass index. RESULTS: In total, 2062 men and 2924 women participated and were included in the analyses. The prevalence of underweight was 22.3% for men and 16.0% for women, whereas the prevalence of overweight was 1.5% for men and 7.6% for women. In men, underweight was associated with younger (15-19 years) and older age (>55 years) (P < 0.001), being divorced/separated [odds ratio (OR) = 1.91 (95% confidence interval (CI): 1.21-2.99] and smoking (OR = 2.13, 95% CI: 1.67-2.73). For women, underweight was associated with older age (P < 0.001) and hungry-gap rainy season (May-July) (OR = 1.33, 95% CI: 1.04-1.69). Widowed or divorced/separated women were not more likely to be underweight. No association was found between education, alcohol consumption or food security score and underweight. CONCLUSIONS: Our findings are not in line with the conventional target groups in nutritional programmes and highlight the importance of continuous health and nutritional assessments of all population groups that reflect local social determinants and family structures.

Time trends in body mass index distribution in the general population in Denmark from 1987 to 2021.

INTRODUCTION: The epidemic increase in obesity is well documented and of intensive public health interest. Attention has almost entirely focused on a dichotomous measure of obesity such as how the prevalence of BMI ≥ 30 kg/m2 has changed over time. Less consideration has been given to how the general distribution of BMI has evolved. METHODS: We used data from the National Health and Morbidity Surveys, which are surveys of the adult Danish population (16 years or above) conducted in 1987, 2000, 2005, 2010, 2013, 2017 and 2021. Participants reported height and weight from which BMI was calculated following correction for systematic bias in self-reported data and non-response. RESULTS: The prevalence of obesity in Denmark increased from 6.1% in 1987 to 18.4% in 2021. A right shift in BMI distribution was observed with positive linear slopes for high and low BMI percentiles and for all socioeconomic groups, although with steeper slopes for high BMI percentiles and for short education. CONCLUSIONS: The right shift in the distribution curve of BMI from 1987 to 2021 with gradually higher values in all BMI percentiles and in all socioeconomic strata show that the increasing obesity prevalence may, to some extent, be attributed to a generally higher BMI in the entire Danish population. FUNDING: None. TRIAL REGISTRATION: Not relevant.

Effects of individual and parental educational levels on multimorbidity classes: a register-based longitudinal study in a Danish population.

OBJECTIVES: To assess the effects of individual educational level in adulthood and parental educational level during childhood, as well as combinations of individual and parental educational levels, on multimorbidity classes. DESIGN AND SETTING: In this longitudinal study, we used data from a random sample of the Danish population aged 32-56 years without multimorbidity in 2010 (n=102 818). The study population was followed until 2018. Information on individual and parental educational levels and chronic conditions was obtained from national registers. Multinomial logistic regression analyses were adjusted for sex, age and ethnicity. OUTCOME MEASURE: Seven multimorbidity classes were identified using latent class analysis based on 47 chronic conditions. Persons deceased during follow-up comprised a separate class. RESULTS: We found an independent effect of individual educational level on five multimorbidity groups and death, most pronounced for the multimorbidity group 'Many conditions' (OR=1.89, 95% CI 1.58 to 2.26 for medium and OR=3.22, 95% CI 2.68 to 3.87 for short compared with long educational level) and of parental education on four groups and death, most pronounced for the multimorbidity group 'Many conditions' (OR=1.36, 95% CI 1.07 to 1.73 for medium and OR=1.48, 95% CI 1.15 to 1.89 for short compared with long educational level). Odds of belonging to four multimorbidity classes increased with lower combination of individual and parental educational levels, most pronounced for the multimorbidity group 'Many conditions'. CONCLUSION: As both individual and parental educational levels contribute to the risk of multimorbidity, it is important to address inequality throughout the life course to mitigate multimorbidity. Future studies could adopt a life course approach to investigate the mediating role of behavioural, clinical, environmental and other social factors.

Patterns of multimorbidity and demographic profile of latent classes in a Danish population-A register-based study.

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'. CONCLUSION: The results of the study suggest that there are social inequalities in multimorbidity but that these inequalities are not universal to all types of multimorbidity. This supports that multimorbidity is diverse and should be prevented and treated accordingly.

Perceived barriers to utilization of antenatal care services in northern Uganda: A qualitative study.

OBJECTIVE: Antenatal care (ANC) utilization remains a challenge in efforts to reduce maternal mortality and improve maternal health in Uganda. This study aimed to identify perceived barriers to utilization of ANC services in a rural post-conflict area in northern Uganda. METHODS: A qualitative study using in-depth interviews and focus group discussions of seventeen participants (pregnant women, health workers and a traditional birth attendant). The study was informed through a phenomenological approach to capture perceived barriers to utilization of ANC. The study was carried out in post-conflict Awach sub-county, Gulu District, northern Uganda. Data was analyzed using inductive conventional content analysis. RESULTS: The main perceived barriers to ANC utilization were identified as: poor quality of care, including poor attitude of health workers; socio-cultural practices not being successfully aligned to ANC; and lack of support from the husband, including difficulties in encouraging him to attend ANC. Additionally, institutional structures and procedures at the health centers in terms of compulsory HIV testing and material requirements and transportation were perceived to prevent some pregnant women from attending ANC. CONCLUSIONS: Identifying local barriers to ANC utilization are important and should be considered when planning ANC programs. We propose that future efforts should focus on how to ensure a good patient-provider relationship and perceived quality of care, and further how to improve inter-spousal communication and sensitization of husbands for increased involvement in ANC. We recommend more research on how socio-cultural context can meaningfully be aligned to ANC to improve maternal health and reduce maternal mortality.