It is reported that Facebook could be a key in mapping which geographical areas have the most overweight and obese people. Resea

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问题     It is reported that Facebook could be a key in mapping which geographical areas have the most overweight and obese people. Researchers have found that the higher the percentage of people in a city or town with Facebook "interests" suggesting a healthy lifestyle, the lower that area’s obesity rate. At the same time, areas with a large percentage of Facebook users with television-related "interests" tend to have higher rates of obesity.

    Researchers at Boston Children’s Hospital, in the US, drew these conclusions after comparing Facebook user data with data from national and New York City-focused health surveys. They looked at what Facebook users posted to their timeline, "liked" and shared with others. They then compared the percentage of users interested in healthy activities or television with details of Body Mass Index in the same area. The comparison revealed close geographic relationships between Facebook "interests" and obesity rates.
    For instance, the obesity rate was 12 per cent lower in the region in the United States where the highest percentage of Facebook users expressed activity-related "interests", compared with that in the location with the lowest percentage.
    Similarly, the obesity rate in the location with the highest percentage of users with television-related interests nationally was 3.9 per cent higher than the location with the lowest percentage.
    The same correlation was reflected significantly in the New York City neighbourhood data as well, showing that the approach can scale from national to local-level data.
    The obesity rate on Coney Island, which had the highest percentage of activity-related "interests" in the city, was 7.2 per cent lower than Southwest Queens, the neighbourhood with the lowest percentage. At the same time, the obesity rate in Northeast Bronx, the neighbourhood with the highest percentage of television-related "interests", was 27. 5 per cent higher than that in the neighbourhood with the lowest percentage—Greenpoint.
    They now believe that people’s online "interests" could help public health researchers predict, tract and map obesity rates by area. The amount of data available from social networks like Facebook makes it possible to efficiently carry out research with cohorts of a size that was previously impossible. Dr. John Brownstein, from Boston Children’ s Hospital, explained: "Online social networks like Facebook represent a new high-value, low-cost data stream for looking at health at a population level. The tight correlation between Facebook users’ ’interests’ and obesity data suggests that this kind of social network and analysis could help generate real-time estimates of obesity levels in an area, target public health campaigns that would promote healthy behaviour change, and assess the success of those campaigns."
    Complete the summary below with information from the passage, using no more than three words for each blank.
    Recent research in a number of cities and neighbourhoods in the us has discovered a 【R1】_________between official figures for the number of people who are 【R2】_________and the type of leisure interests registered by users of Facebook in that area.   In districts where Facebook users expressed a preference for sporting activities, 【R3】_________of obesity were recorded than cities where users had more passive interests like watching television. This close correlation between official 【R4】_________ and information collected from Facebook promises to facilitate research into 【R5】_________health patterns, and will, in turn, assist local authorities in targeting their public health programmes more strategically.
【R1】

选项

答案significant relationship

解析 文章第一段指出,据报道,脸书可能是绘制哪些地区超重和肥胖人数最多的关键。研究人员发现,在一个城市或城镇中,对脸书“感兴趣”的人中表示对健康生活方式感兴趣的比例越高,该地区的肥胖率就越低。与此同时,那些对电视相关感兴趣的脸书用户比例较高的地区,肥胖率也更高。由此可知,超重和肥胖人数的官方数字与该地区脸书用户注册的休闲兴趣类型之间存在重大关系。故空格处应填significant relationship。
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