[Detection and prevention in later life: risk profiles for physical, psychological, social and environmental frailty.] / Detectie en preventie van kwetsbaarheid: Op zoek naar risicoprofielen voor fysieke, psychische, sociale en omgevingskwetsbaarheid.

In order to provide proactive care and support for older people attention is needed for the prevention of frailty among older adults. Subsequently, accurate case finding of those who are more at risk of becoming frail is crucial to undertake specific preventive actions. This study investigates frailty and risk profiles of frailty among older people in order to support proactive detection. Hereby, frailty is conceived not only as a physical problem, but also refers to emotional, social, and environmental hazards. Using data generated from the Belgian Ageing Studies (N = 21,664 home-dwelling older people), a multinomial logistic regression model was tested which included socio-demographic and socio-economic indicators as well as the four dimensions of frailty (physical, social, psychological and environmental). Findings indicate that for both men and women having moved in the previous 10 years and having a lower household income are risk factors of becoming multidimensional frail. However, studying the different frailty domains, several risk profiles arise (e. g. marital status is important for psychological frailty), and gender-specific risk groups are detected (e. g. non-married men). This paper elaborates on practical implications and formulates a number of future research recommendations to tackle frailty in an ageing society.

Correction to: Prevalence of musculoskeletal complaints in urban communities in multi-ethnic Suriname: a cross-sectional study with the COPCORD methodology (stage 1, phase 1 and 2).

The footnote of Fig. 2 in the published original version of the above article went missing and the correct figure is presented in this article.].

Prevalence of musculoskeletal complaints in urban communities in multi-ethnic Suriname: a cross-sectional study with the COPCORD methodology (stage 1, phase 1 and 2).

INTRODUCTION/OBJECTIVES: Musculoskeletal complaints (MSCs) are a major burden worldwide. In Suriname, a South American developing country, the epidemiology of MSCs and its related disorders is still unknown. Therefore, a cross-sectional survey was carried out to determine prevalence and risk factors of MSCs in urban areas of Suriname. METHODS: This is the first Community Oriented Program for the Control of Rheumatic Diseases survey in a Caribbean Community. Trained interviewers collecting self-reported data conducted this house-to-house community-based survey. Data was analyzed using SPSS version 23 and Stata version 14.1. RESULTS: The prevalence of MSCs was 62.1% with a higher prevalence rate among women compared with men (resp. 64.3% vs. 58.6%) (Odds ratio = 1.185; p ≤ 0.05). The most decisive self-reported variables associated with MSCs were older age (defined as ≥ 45 years) and moderate to heavy physical workload. The prevalence of MSCs was also associated with women, low educational level, smoking, alcohol use, high-intensity physical activity level, and body mass index (≥ 25 kg/m2). The highest prevalence of MSCs was found among African descendants (Maroons (68.8%) and Creoles (68.0%)), followed by the Indigenous (65.0%) and Asian descendants (Hindustani (64.3%) and Javanese (49.5%)). Most persons with MSCs (75.7%) reported multisite complaints with lower back, knee, and shoulder being the most frequently reported sites. In our study population, MSCs were not considered disabling (mean Health Assessment Questionnaire Disability Index score of 0.23). CONCLUSIONS: The prevalence of MSCs in this urban multi-ethnic Surinamese community is high; therefore, future research is needed to further explore the burden of MSCs in Suriname.Key Points• Musculoskeletal complaints are highly prevalent in different ethnic groups in an urban Surinamese community; almost two-thirds of the population reported MSCs with the highest prevalence rate among women and African descendants.• The most decisive self-reported variables associated with MSCs were older age (defined as ≥ 45 years) and moderate to heavy physical workload. Gender, educational level, smoking, alcohol use, high-intensity physical activity, and body mass index were also significantly associated with musculoskeletal complaints.