No abstract

Background: There is accumulating evidence in the literature that leisure engagement has a beneficial effect on dementia. Most studies have grouped activities according to whether they were predominantly mental, physical or social. Since many activities contain more than one component, we aimed to verify the effect of all three major components on the dementia risk, as well as their combined effect. Methods: A mental, social and physical component score was estimated for each activity by the researchers and a sample of elderly persons. The correlation between the ratings of the authors and the means of the elderly subjects’ ratings was 0.86. The study population consisted of 776 nondemented subjects, aged 75 years and above, living in Stockholm, Sweden, who were still nondemented after 3 years and were followed for 3 more years to detect incident dementia cases. Results: Multi-adjusted relative risks (RRs) of dementia for subjects with higher mental, physical and social component score sums were 0.71 (95% CI: 0.49–1.03), 0.61 (95% CI: 0.42–0.87) and 0.68 (95% CI: 0.47–0.99), respectively. The most beneficial effect was present for subjects with high scores in all or in two of the components (RR of dementia = 0.53; 95% CI: 0.36–0.78). Conclusions: These findings suggest that a broad spectrum of activities containing more than one of the components seems to be more beneficial than to be engaged in only one type of activity.

The objective of this study is to describe the pattern of participation in leisure activities in an older population in relation to contextual factors as well as to mental and physical health. A cohort of 1,623 participants aged 75 or older living in Stockholm, Sweden was asked to list all the leisure activities they were engaged in. These were successively organised into 31 major categories and further grouped into mental, social, physical, productive and recreational types. The pattern of participation was examined in relation to age, gender, contextual factors (education, social network) and health status (depressive symptoms, cognitive impairment, dementia, somatic diseases and physical limitation). In spite of their advanced age, the majority of the population was active, as 70 per cent had participated in at least one activity. Reading (19%) was the most prevalent individual activity, and mental activities (43%) the most prevalent activity type. Older age, female gender, low education status, having a poor or limited social network, mental disorders, and physical limitation, were all factors correlated with a decreased engagement in ‘at least one activity’. Contextual factors and health-related factors were related to the five activity types in different ways. The pattern of participation in leisure activities is associated with multiple factors and their recognition is essential to the facilitation of an active lifestyle in the older population.

The purpose of this study was to test the hypothesis that an active lifestyle delays age at dementia onset. This study included 388 incident dementia cases (DSM-III-R criteria) that developed over a 9-year follow-up period among 1,375 baseline dementia-free community dwellers with good cognitive function (MMSE >23) (mean age = 81.2) from the Kungsholmen Project. An active lifestyle was defined as participation in mental, physical, or social activity. We used linear regression models to estimate influence of baseline active lifestyle on age at onset of incident dementia and general linear models to estimate mean age at dementia onset. Age at onset of dementia was significantly older in persons who had higher levels of participation in mental, physical, or social activity (β: 0.18, 0.29 and 0.23 respectively, p < 0.001 for all the activities) independent of education, medical condition, functional status, and other confounders including APOE. When the three types of activities were integrated into an index, we found that the broader the spectrum of participation in the activities, the later the onset of disease (β = 0.93, p = 0.01 for participating in two activities, and β = 1.42, p < 0.001 for three activities). There were 17 months difference in mean age at dementia onset between the inactive group and the most active group. An active lifestyle operates as a protective factor for dementia by delaying the clinical onset of the disease. These findings highlight the relevance of encouraging old adults to have active lifestyles, which could have a great impact on public health.

Aims: To explore the underlying dimensions of a set of interrelated lifestyle factors and test the hypothesis that an active lifestyle may protect against dementia. Methods: The study population consisted of 776 participants aged ≥75 years who were dementia-free at both baseline and the first follow-up examinations. Participation in leisure activities was assessed at baseline of the survey, and principal component analysis was used to identify their underlying factors. Results: During the 9-year follow-up from exposure assessment, 212 subjects developed dementia. Higher factor scores of physical, mental, and social dimensions of an active lifestyle was each related to a lower dementia risk. A significant dose-response association between participation in the diverse dimensions and lower dementia risk was observed. Conclusion: An active lifestyle may protect older people against dementia, and the higher level of engagement the stronger protection.

Objectives: The role of different body fat indicators and age in assessing the prevalence of obesity is unclear. We aimed to examine to what extent different body fat indicators including BMI, waist circumference (WC) and waist-to-hip ratio (WHR) affect the prevalence of overweight and obesity among Chinese adults taking age into account. Methods: This population-based cross-sectional study included a random sample of 7,603 adults aged 20-79 years across entire Tianjin, China. BMI, WC, and WHR were used to define overweight and obesity following standard criteria. Prevalence rates were calculated and standardized using local age- and gender-specific census data. Logistic regression was used in data analysis. Results: Using the combination of BMI, WC, and WHR, the prevalence of overweight and obesity was 69.8%, and increased with age till the age of 60 and a decline thereafter. The prevalence of overweight assessed by BMI was higher than that assessed by WC and WHR, while the prevalence of obesity defined by BMI was much lower than that defined by WC or WHR. Conclusion: The prevalence of overweight and obesity is about 70% among Chinese adults. Adiposity indicators and age play an important role in the prevalence of overweight and obesity.

Background: Nurses are on the forefront and play a key role in global disaster responses. Nevertheless, they are often not prepared for the challenges they are facing and research is scarce regarding the nursing skills required for first responders during a disaster situation. Objectives: To investigate how returnee nursing staff experienced deployment before, during and after having worked for the Red Cross at an Ebola Treatment Center in Kenema, West Africa, and to supply knowledge on how to better prepare and support staff for viral haemorrhagic fever outbreaks. Methods: A descriptive, cross-sectional approach. Questionnaires were administered to nurses having worked with patients suffering from Ebola in 2014 and 2015. Data collection covered aspects of pre-, during and post-deployment on clinical training, personal health, stress management, leadership styles, socio-cultural exposure and knowledge transfer, as well as attitudes from others. Data was analysed using both quantitative and qualitative methods. Results: Response-rate was 88%: forty-four nurses from 15 different countries outside West Africa answered the questionnaire. The respondents identified the following needs for improvement: increased mental health and psychosocial support and hands-on coping strategies with focus on pre- and post-deployment; more pre-deployment task-oriented clinical training; and workload reduction, as exhaustion is a risk for safety. Conclusions: This study supplies knowledge on how to better prepare health care staff for future viral haemorrhagic fever outbreaks and other disasters. Participants were satisfied with their pre-deployment physical health preparation, whereas they stressed the importance of mental health support combined with psychosocial support after deployment. Furthermore, additional pre-clinical training was requested.

Hypertension is common in adults and often undiagnosed, and the prevalence of pre- and undiagnosed-hypertension remains unclear. We aimed to investigate the prevalence of pre- and undiagnosed-hypertension and their correlates among urban Chinese adults. A total of 7435 participants aged 20-79 were included in this study. Data on demographics, lifestyle and medical history were collected through a structured interview. Pre- and undiagnosed-hypertension was defined as systolic blood pressure/ diastolic blood pressure (SBP/DBP) of 120-139/80-89 mm Hg and SBP⩾140 mm Hg and/or DBP⩾90 mm Hg, respectively, in participants without a history of hypertension and use of antihypertensive medication. Prevalence rates were calculated and standardized using local age- and gender-specific census data. Data were analysed using multinomial logistic regression with adjustment for potential confounders. Of all the participants, 2726 (36.7%) were diagnosed with pre-hypertension and 919 (12.3%) with undiagnosed-hypertension. Undiagnosed-hypertension accounted for 37.3% of all participants with hypertension. The prevalence of pre-hypertension gradually decreased with age, while undiagnosed-hypertension increased, although presenting different changing patterns among men and women. In a fully adjusted multinomial logistic regression, age, male sex, low socio-economic status (SES), abdominal obesity, alcohol drinking, physical inactivity and type 2 diabetes mellitus (T2DM) were significantly associated with increased odds of pre- and undiagnosed-hypertension. In conclusions, the prevalence of pre- and undiagnosed-hypertension was ~50% among urban Chinese adults. Abdominal obesity, low SES, alcohol drinking, physical inactivity and T2DM may be indicators for pre- and undiagnosed-hypertension.