Prevention of Cardiovascular Diseases in Deprived Neighbourhoods

Worldwide, cardiovascular diseases (CVD) remain the leading cause of morbidity and mortality even though mortality rates in the industrialised countries have declined over the past decades. Recent WHO reports show that an estimated 17 million people die every year of CVD, particularly from myocardial infarction and strokes [1]. In Western countries, such as the Netherlands, discrepancies in cardiovascular morbidity and mortality according to ethnicity and socio-economic status still exist [2,3]. Although improvements have been made in reducing cardiovascular mortality and morbidity at the national level, the prevalence of cardiovascular risk factors (such as smoking behaviour and overweight) is higher among individuals with a low socio-economic status and, more specifi cally, among ethnic minorities than those people with a high socio-economic status and the indigenous Dutch population [4-6]. Persons with a low socio-economic status and ethnic minorities mainly live in the so-called deprived neighbourhoods [7]. In the Netherlands, neighbourhoods are identifi ed as “deprived” according to an index based on income, the number of individuals that depend on social benefi ts, and the level of urbanisation [8]

Voluminous Laryngeal Schwannoma Treated with Endoscopic Laser Approach

Laryngeal schwannomas are rare benign encapsulated neurogenic tumors that represent less than 1.5% of all benign laryngeal tumors. We report a case of voluminous laryngeal schwannoma that was incidentally found during endotracheal intubation for thyroidectomy in a 43-year-old woman with clinical findings, features of radiologic and histopathologic examinations. The tumor was removed by CO2 laser during microlaryngoscopy. In this case report, we present a challenging approach that can be used in diagnosis and treatment of laryngeal schwannomas. Complete removal of the tumor should be considered as the initial approach to minimize morbidity

Different distribution of cardiovascular risk factors according to ethnicity: A study in a high risk population

This study compares the distribution of cardiovascular risk factors in different ethnic groups at high risk of developing cardiovascular diseases within general practices. A total of 430 patients (179 Dutch, 126 Turks, 50 Surinamese, 23 Moroccans, 23 Antilleans and 29 from other ethnic groups) were included in the study. Data collection consisted of questionnaires and physical and clinical examinations. 54% was female. The mean age was 53.1 (sd 9.9) years. There were important ethnic differences in the distribution of cardiovascular risk factors. Compared to the Dutch, ethnic minorities had significantly greater odds of being diabetic (OR = 3.2-19.4); but were less likely to smoke (OR = 0.10-0.53). Turkish individuals had a lower prevalence of hypercholesterolemia but were 2.4 times more likely to be obese than the Dutch. Hypertension was very common in all ethnic groups and no significant ethnic differences were found. These findings provide additional evidence of the need for tailored interventions for different ethnic groups in general practices

Gender Differences in Risk Factors for Single and Recurrent Falls Among the Community-Dwelling Elderly

The purpose of this study was to identify gender differences in risk factors of fall accidents among older people, and whether these factors differ between single and recurrent fallers. A total of 4,426 individuals aged ≥65 years from two large-scale health surveys provided data. Logistic regression analyses were used to identify risk factors and to determine the risk model for falling and recurrent falling in men and women separately. Three major risk factors for falling regardless of gender or fall history are fear of falling, limitations in activities of daily living (ADL), and age ≥75 years. Fear of falling remains one of the common modifiable risk factors. Among those without a fall history, the use of sedatives or tranquilizers increases the risk of falling. Regarding gender differences, ADL limitations and fear of falling appear to be stronger fall risk factors for men than for women. Among women, alcohol use and educational level are significant risk factors for falling, while loneliness is associated with recurrent falling. Men with fear of falling or ADL limitations are at higher risk to have a recurrent fall accident than women with these conditions. Having a visual impairment or living with someone is associated with recurrent falling among men. Our findings emphasize the importance of multifactorial fall interventions, taking into account a variety of subgroup characteristics such as gender and fall history

Ethnic differences in functional limitations: a comparison of older migrants and native Dutch older population

BACKGROUND: Although the older migrants population in Europe is expected to grow substantially in the coming years, there is little information about their health status and particularly functional limitations. This study examined the association of ethnicity and mobility, hearing and visual limitations in comparison to the general population in the Netherlands, and whether relevant characteristics explained the potential differences between older migrants and non-migrants. METHODS: Secondary data analysis of 12 652 subjects 55 years and older who participated in the health survey in the four largest Dutch cities. To establish limitations in vision, hearing and mobility, the Organization for Economic Co-operation and Development (OECD) questionnaire was used. Logistic regression analysis was used to examine the association between limitations and ethnic background, subsequently adjusting for demographic and socio-economic characteristics and relevant health- and lifestyle-related factors. RESULTS: Older migrants had higher prevalences of functional limitations. The age- and- gender adjusted ORs were 2 to 8-fold compared with older non-migrants. After adjusting for socioeconomic status and health-and lifestyle indicators, Moroccan, Turkish and Surinamese migrants still had increased ORs for visual limitations [ORs (95% CI), respectively: 2.48 (1.49-4.14), 3.08 (1.75-5.41) and 1.97 (1.33-2.91)] compared with the Dutch. For mobility limitations, only the Turkish migrants had an OR twice as high (2.19; 1.08-4.44) as the non-migrants. No significant differences were found between Antillean/Aruban migrants and non-migrants. CONCLUSIONS: Important ethnic inequalities exist in various functional limitations, particularly in vision. These results underline the importance of tailored preventive interventions in older migrants to detect and prevent these limitations at an early stage

Measuring frailty in Dutch community-dwelling older people:Reference values of the Tilburg Frailty Indicator (TFI)

Objectives:  The objectives of this study were to provide reference values of the Tilburg Frailty Indicator (TFI) for community-dwelling older people by age, sex, marital status, ethnicity, education, income, and residence, and examine the effects of these seven socio-demographic variables on frailty. Methods:  47,768 individuals aged 65 years and older living in the Netherlands completed a health questionnaire (58.5% response rate), including the TFI. The TFI is a self-report questionnaire for measuring frailty, developed from an integral approach of frailty, including physical, psychological, and social domains. Results:  Reference values were provided for men and women separately, as a function of age. We found associations of all socio-demographic variables with frailty, also after controlling for the effects of age. These associations held for both sexes and for big cities as wells as more rural areas. For instance, the effect of age was large for total and physical frailty, women were more frail than men, and some very large average frailty differences between the ethnic groups were found, with autochthon people having the lowest frailty score. Conclusions:  In conclusion, this study offers reference values of the TFI by socio-demographic characteristics and explains frailty using these characteristics. This information will support researchers, policymakers and health care professionals in interpreting scores of the TFI, which may guide their efforts to reduce frailty and its adverse outcomes. (C) 2016 Elsevier Ireland Ltd. All rights reserved

Contact patterns of older adults with and without frailty in the Netherlands during the COVID-19 pandemic

Abstract Background During the COVID-19 pandemic, social distancing measures were imposed to protect the population from exposure, especially older adults and people with frailty, who have the highest risk for severe outcomes. These restrictions greatly reduced contacts in the general population, but little was known about behaviour changes among older adults and people with frailty themselves. Our aim was to quantify how COVID-19 measures affected the contact behaviour of older adults and how this differed between older adults with and without frailty. Methods In 2021, a contact survey was carried out among people aged 70 years and older in the Netherlands. A random sample of persons per age group (70–74, 75–79, 80–84, 85–89, and 90 +) and gender was invited to participate, either during a period with stringent (April 2021) or moderate (October 2021) measures. Participants provided general information on themselves, including their frailty, and they reported characteristics of all persons with whom they had face-to-face contact on a given day over the course of a full week. Results In total, 720 community-dwelling older adults were included (overall response rate of 15%), who reported 16,505 contacts. During the survey period with moderate measures, participants without frailty had significantly more contacts outside their household than participants with frailty. Especially for females, frailty was a more informative predictor of the number of contacts than age. During the survey period with stringent measures, participants with and without frailty had significantly lower numbers of contacts compared to the survey period with moderate measures. The reduction of the number of contacts was largest for the eldest participants without frailty. As they interact mostly with adults of a similar high age who are likely frail, this reduction of the number of contacts indirectly protects older adults with frailty from SARS-CoV-2 exposure. Conclusions The results of this study reveal that social distancing measures during the COVID-19 pandemic differentially affected the contact patterns of older adults with and without frailty. The reduction of contacts may have led to the direct protection of older adults in general but also to the indirect protection of older adults with frailty

Measuring frailty in Dutch community-dwelling older people: reference values of the Tilburg Frailty Indicator (TFI)

Objectives The objectives of this study were to provide reference values of the Tilburg Frailty Indicator (TFI) for community-dwelling older people by age, sex, marital status, ethnicity, education, income, and residence, and examine the effects of these seven socio-demographic variables on frailty. Methods 47,768 individuals aged 65 years and older living in the Netherlands completed a health questionnaire (58.5% response rate), including the TFI. The TFI is a self-report questionnaire for measuring frailty, developed from an integral approach of frailty, including physical, psychological, and social domains. Results Reference values were provided for men and women separately, as a function of age. We found associations of all socio-demographic variables with frailty, also after controlling for the effects of age. These associations held for both sexes and for big cities as wells as more rural areas. For instance, the effect of age was large for total and physical frailty, women were more frail than men, and some very large average frailty differences between the ethnic groups were found, with autochthon people having the lowest frailty score. Conclusions In conclusion, this study offers reference values of the TFI by socio-demographic characteristics and explains frailty using these characteristics. This information will support researchers, policymakers and health care professionals in interpreting scores of the TFI, which may guide their efforts to reduce frailty and its adverse outcomes