队列简介:晚年更健康

IF 3.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Henrik Toft Sørensen, Tina Christensen, Hans Erik Bøtker, Christian Fynbo Christiansen, Cecilia H Fuglsang, Sigrid B Gribsholt, Frederik Pagh Bredahl Kristensen, Kristina Laugesen, Anne Sofie D Laursen, Mette Nørgaard, Morten Schmidt, Nils Skajaa, Frederikke S Troelsen, Lars Pedersen
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引用次数: 0

摘要

目的:人类寿命越来越长,晚年可能会患上多种慢性疾病。晚年更健康 "队列研究旨在增进我们对丹麦人口中多病风险和结果的了解:随机抽样的 50-65 岁丹麦居民收到了一份调查问卷和参与本研究的邀请。受访者在 2021 年 10 月至 2022 年 1 月期间完成了一项在线调查,调查内容包括自我健康评估、心理健康、睡眠、特定医疗状况、止痛药使用、饮食、饮酒、吸烟、体育锻炼和身体成分。这些信息与丹麦健康和社会登记处(部分登记处成立于 1943 年及以后)的数据相链接,这些登记处保存了有关已开具处方、住院记录、社会经济状况和医疗保健使用情况的数据:在应邀参加调查的 301,244 位居民中,有 115,431 位(38%)做出了回答。我们排除了未回答任何问题的受访者,以及未提供性别信息或年龄在 50-65 岁之间的受访者。在 114283 名符合条件的受访者中,54.8% 为女性,30.3% 超重,16.7% 肥胖。大多数受访者表示每周饮酒量少于 7 个单位,13.3% 的受访者目前吸烟;5.2% 的受访者曾因实体肿瘤住院治疗,3.0%、2.3%、2.0% 和 0.9% 的受访者表示患有慢性肺病、糖尿病、中风和心肌梗塞。最常见的处方是治疗神经系统和心血管疾病的药物(分别占 38.1% 和 37.4%)。关键词:老龄化、流行病学、健康登记、生命过程流行病学、多病症、前瞻性队列
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cohort Profile: Better Health in Late Life
Purpose: Humans are living longer and may develop multiple chronic diseases in later life. The Better Health in Late Life cohort study aims to improve our understanding of the risks and outcomes of multimorbidity in the Danish population.
Methods: A randomly-selected sample of Danish residents who were 50– 65 years of age received a questionnaire and an invitation to participate in this study. Respondents completed an online survey between October 2021 and January 2022 which addressed topics that included self-assessed health, mental health, sleep, specific medical conditions, use of painkillers, diet, alcohol consumption, smoking, physical activity, and body composition. This information was linked to the Danish health and social registries (some established in 1943 and onwards) that maintain data on filled prescriptions, hospital records, socioeconomic status, and health care utilization.
Results: Responses were received from 115,431 of the 301,244 residents invited to participate (38%). We excluded respondents who answered none of the questions as well as those who provided no information on sex or indicated an age other than 50– 65 years. Of the 114,283 eligible respondents, 54.8% were female, 30.3% were overweight, and 16.7% were obese. Most participants reported a weekly alcohol consumption of less than seven units and 13.3% were current smokers; 5.2% had a history of hospitalization for solid cancer, and 3.0%, 2.3%, 2.0%, and 0.9% reported chronic pulmonary disease, diabetes, stroke, and myocardial infarction, respectively. The most frequently filled prescriptions were for medications used to treat the nervous system and cardiovascular diseases (38.1% and 37.4%, respectively).

Keywords: aging, epidemiology, health registries, life course epidemiology, multimorbidity, prospective cohort
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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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