Cohort profile: the Baependi Heart Study-a family-based, highly admixed cohort study in a rural Brazilian town.
Cohort profile: the Baependi Heart Study-a family-based, highly admixed cohort study in a rural Brazilian town.
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DOI：
10.1136/bmjopen-2016-011598
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发表时间：
2016-10-21
期刊：
影响因子：
2.9
通讯作者：
Pereira AC
中科院分区：
文献类型：
--
作者：
Egan KJ;von Schantz M;Negrão AB;Santos HC;Horimoto AR;Duarte NE;Gonçalves GC;Soler JM;de Andrade M;Lorenzi-Filho G;Vallada H;Taporoski TP;Pedrazzoli M;Azambuja AP;de Oliveira CM;Alvim RO;Krieger JE;Pereira AC
心血管疾病（CVD）是全球健康面临的重大挑战。随着国家的发展，同样的流行病转变情景也在重演，但因环境、文化和种族混合而有所不同。Baependi心脏研究成立于2005年，旨在开展一项基于家族的纵向队列研究，反映巴西人口的一些遗传和生活方式相关特点，以评估遗传和环境对CVD风险因素特征的影响。先证者是在巴西米纳斯吉拉斯州的一个乡村小镇Baependi招募的，随后是一级亲属，然后是越来越多的远亲。第一波后续浪潮发生在2010年，第二波发生在2016年。在基线时，该研究评估了95个家庭的1691名个体。收集了2239名参与者的横截面数据。环境和生活方式因素以及与心血管健康相关的措施已被报道。表型数据集已经扩展到心血管健康结果之外，现在包括遗传学，生物化学，人体测量学，心理健康，睡眠和昼夜节律。其中许多已经产生了遗传性估计，最近发表了焦虑和抑郁的共同遗传背景。尽管普遍获得电力，但与大都市地区相比，人口已被发现强烈转向早晨。2016年正在进行一项新的随访，标志着该研究的10年，其中收集的数据与2010年相同（神经精神病学方案除外）。除此之外，还计划编制一套收集智力、个性和精神方面信息的新问卷。将通过额外的问卷调查、活动测定、家庭睡眠EEG记录和微光褪黑激素发作（DLMO）分析来修改昼夜节律和睡眠数据集。最后，将通过增加三维面部摄影、录音和解剖大脑MRI来扩大人体测量措施。
Cardiovascular disease (CVD) is a major challenge to global health. The same epidemiological transition scenario is replayed as countries develop, but with variations based on environment, culture and ethnic mixture. The Baependi Heart Study was set up in 2005 to develop a longitudinal family-based cohort study that reflects on some of the genetic and lifestyle-related peculiarities of the Brazilian populations, in order to evaluate genetic and environmental influences on CVD risk factor traits. Probands were recruited in Baependi, a small rural town in the state of Minas Gerais, Brazil, following by first-degree and then increasingly more distant relatives. The first follow-up wave took place in 2010, and the second in 2016. At baseline, the study evaluated 1691 individuals across 95 families. Cross-sectional data have been collected for 2239 participants. Environmental and lifestyle factors and measures relevant to cardiovascular health have been reported. Having expanded beyond cardiovascular health outcomes, the phenotype datasets now include genetics, biochemistry, anthropometry, mental health, sleep and circadian rhythms. Many of these have yielded heritability estimates, and a shared genetic background of anxiety and depression has recently been published. In spite of universal access to electricity, the population has been found to be strongly shifted towards morningness compared with metropolitan areas. A new follow-up, marking 10 years of the study, is ongoing in 2016, in which data are collected as in 2010 (with the exception of the neuropsychiatric protocol). In addition to this, a novel questionnaire package collecting information about intelligence, personality and spirituality is being planned. The data set on circadian rhythms and sleep will be amended through additional questionnaires, actimetry, home sleep EEG recording and dim light melatonin onset (DLMO) analysis. Finally, the anthropometric measures will be expanded by adding three-dimensional facial photography, voice recording and anatomical brain MRI.
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影响因子：
--
作者：
Giolo SR;Pereira AC;de Andrade M;Krieger JE;Soler JP
通讯作者：
Soler JP
影响因子：
2.1
作者：
Fragoso, Tiago M.;Giolo, Suely R.;Soler, Julia M. P.
通讯作者：
Soler, Julia M. P.
影响因子：
9.6
作者：
de Paula, Lilian K. G.;Alvim, Rafael O.;Lorenzi-Filho, Geraldo
通讯作者：
Lorenzi-Filho, Geraldo
影响因子：
--
作者：
Horimoto AR;Giolo SR;Oliveira CM;Alvim RO;Soler JP;de Andrade M;Krieger JE;Pereira AC
通讯作者：
Pereira AC
人类心血管疾病的遗传学。
影响因子：
64.5
作者：
Kathiresan S;Srivastava D
通讯作者：
Srivastava D