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Increased Screen Time and Wellbeing Decline in Youth

【A】Have young people never had it so good? Or do they face more challenges than any previous generation? Our current era in the West is one of high wealth. This means minors enjoy material benefits and legal protections that would have been the envy of those living in the past. But there is an increasing suspicion that all is not well for our youth. And one of the most popular explanations, among some experts and the popular media, is that excessive “screen time” is to blame. (This refers to all the attention young people devote to their phones, tablets and laptops.) However, this is a contentious theory and such claims have been treated skeptically by some scholars based on their reading of the relevant data.

【B】Now a new study has provided another contribution to the debate, uncovering strong evidence that adolescent wellbeing in the United States really is experiencing a decline and arguing that the most likely cause is the electronic riches we have given them. The background to this is that from the 1960s into the early 2000s, measures of average wellbeing went up in the US. This was especially true for younger people. It reflected the fact that these decades saw a climb in general standards of living and avoidance of mass societal traumas like full-scale war or economic deprivation. However, the “screen time” hypothesis, advanced by researchers such as Jean Twenge, is that electronic devices and excessive time spent online may have reversed these trends in recent years, causing problems for young people’s psychological health.

【C】To investigate, Twenge and her colleagues dived into the “Monitoring the Future” dataset based on annual surveys of American school students from grades 8, 10, and 12 that started in 1991. In total, 1.1 million young people answered various questions related to their wellbeing. Twenge’s team’s analysis of the answers confirmed the earlier, well-established wellbeing climb, with scores rising across the 1990s, and into the later 2000s. This was found across measures like self-esteem, life satisfaction, happiness and satisfaction with individual domains like job, neighborhood, or friends. But around 2012 these measures started to decline. This continued through 2016, the most recent year for which data is available.

【D】Twenge and her colleagues wanted to understand why this change in average wellbeing occurred. However, it is very hard to demonstrate causes using non-experimental data such as this. In fact, when Twenge previously used this data to suggest a screen time effect, some commentators were quick to raise this problem. They argued that her causal-sounding claims rested on correlational data, and that she had not adequately accounted for other potential causal factors. This time around, Twenge and her team make a point of saying that they are not trying to establish causes as such, but that they are assessing the plausibility of potential causes.

【E】First, they explain that if a given variable is playing a role in affecting wellbeing, then we should expect any change in that variable to correlate with the observed changes in wellbeing. If not, it is not plausible that the variable is a causal factor. So the researchers looked at time spent in a number of activities that could plausibly be driving the wellbeing decline. Less sport, and fewer meetings with peers correlated with lower wellbeing, as did less time reading print media (newspapers) and, surprisingly, less time doing homework. (This last finding would appear to contradict another popular hypothesis that it is our burdening of students with assignments that is causing all the problems.) In addition, more TV watching and more electronic communication both correlated with lower wellbeing. All these effects held true for measures of happiness, life satisfaction and self-esteem, with the effects stronger in the 8th and 10th-graders.

【F】Next, Twenge’s team dug a little deeper into the data on screen time. They found that adolescents who spent a very small amount of time on digital devices—a couple of hours a week—had the highest wellbeing. Their wellbeing was even higher than those who never used such devices. However, higher doses of screen time were clearly associated with lower happiness. Those spending 10-19 hours per week on their devices were 41 percent more likely to be unhappy than lower-frequency users. Those who used such devices 40 hours a week or more (one in ten teenagers) were twice as likely to be unhappy. The data was slightly complicated by the fact that there was a tendency for kids who were social in the real world to also use more online communication, but by bracketing out different cases it became clear that the real-world sociality component correlated with greater wellbeing, whereas greater time on screens or online only correlated with poorer wellbeing.

【G】So far, so plausible. But the next question is, are the drops in average wellbeing happening at the same time as trends toward increased electronic device usage? It looks like it—after all, 2012 was the tipping point when more than half of Americans began owning smartphones. Twenge and her colleagues also found that across the key years of 2013-16, wellbeing was indeed lowest in years where adolescents spent more time online, on social media, and reading news online, and when more youth in the United States had smartphones. And in a second analysis, they found that where technology went, dips in wellbeing followed. For instance, years with a larger increase in online usage were followed by years with lower wellbeing, rather than the other way around. This does not prove causality, but is consistent with it. Meanwhile, TV use did not show this tracking. TV might make you less happy, but this is not what seems to be driving the recent declines in young people’s average happiness.

【H】A similar but reversed pattern was found for the activities associated with greater wellbeing. For example, years when people spent more time with friends were better years for wellbeing (and followed by better years). Sadly, the data also showed face-to-face socializing and sports activity had declined over the period covered by the survey.

【I】There is another explanation that Twenge and her colleagues wanted to address: the impact of the the great recession of 2007-2009, which hit a great number of American families and might be affecting adolescents. The dataset they used did not include economic data, so instead the researchers looked at whether the 2013-16 wellbeing decline was tracking economic indicators. They found some evidence that some crude measures, like income inequality, correlated with changes in wellbeing, but economic measures with a more direct impact, like family income and unemployment rates (which put families into difficulties), had no relationship with wellbeing. The researchers also note that the recession hit some years before we see the beginning of the wellbeing drop, and before the steepest wellbeing decline, which occurred in 2013.

【J】The researchers conclude that electronic communication was the only adolescent activity that increased at the same time psychological wellbeing declined. I suspect that some experts in the field will be keen to address alternative explanations, such as unassessed variables playing a role in the wellbeing decline. But the new work does go further than previous research and suggests that screen time should still be considered a potential barrier to young people’s flourishing.

40. In the last few decades of the 20th century, living standards went up and economic depressions were largely averted in the US.

A
A
B
B
C
C
D
D
E
E
F
F
G
G
H
H
I
I
J
J
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答案:

B

解析:

36. 大多数美国人开始使用智能手机的那一年被看作是美国年轻人幸福水平的转折点。

解析:G。根据题干中的smartphones 和 a turning point可以定位至G段第三句。该句表明,2012年是一个转折点,在这一年,超过一半的美国人开始拥有智能手机,题干中的turning point是对原文中tipping point的同义替换,之后接着说2013年到2016年,幸福指数是最低的,即2012年是幸福指数发展趋势的转折点,题干是对这一内容的同义转述,故G正确。

37. 近年来,美国年轻人在幸福感的各项指标方面的分值开始下降。

解析:C。根据题干中的measures和go downward可以定位到C段倒数第二句。该句表明,但在2012年左右,这些指数开始下降。这种情况一直持续到2016年,这是目前获得的最新数据。题干中的go downward是对原文中decline的同义替换,题干是对C段最后两句的概括总结,故C正确。

38. 涉及人与人之间直接交流的活动可以增强人们的幸福感,而不幸的是,这类活动正在减少。

解析:H。根据题干中的activities involving direct contact with people定位至H段的第二句,人们花更多时间和朋友在一起的年份,幸福感更高,题干中的定位词是对本句people spent more time with friends的近义替换。H段最后一句提到,在调查期间,面对面的社交和体育活动均有所减少。因此题干是对H段的概括总结,故H项正确。

39. 针对过去遭受的批评,特温格和她的同事强调,他们并没有试图证明使用电子设备会降低年轻人的幸福感。

解析:D。根据题干中的past critics和not trying to prove可定位至D段。该段的最后一句说,这一次,特温格和她的团队强调,他们并不是试图建立这样的因果关系,而是在评估潜在原因的合理性。该段中间部分指出,一些评论家提出特温格研究中的问题,题干中的past critics是对此内容的概括,题干中not trying to prove是对本句中they are not trying to establish causes as such的同义转述,题干是对D段的概括总结,故D项正确。

40. 在20世纪最后的几十年里,美国人民的生活水平提高了,基本上没有出现经济萧条。

解析:B。根据题干中的last few decades of 20th century、 living standards went up和economic depressions可定位至B段的第四句。在这几十年里,人们的总体生活水平不断提高,没有经历像全面战争或是经济衰退那样的大规模社会创伤,题干定位词是对本句中a climb in general standards of living和avoidance of mass societal traumas的同义替换,题干是对本句的同义转述,故B项正确。

41. 与人们普遍认为的相反,做家庭作业可能会增加学生的幸福感。

解析:E。根据题干中的Contrary to popular belief可定位至E段第四、五句。该部分提到,令人惊讶的是,做家庭作业时间减少也会导致幸福感降低。最后一项似乎与“作业负担是导致一切问题的根源”这一人们普遍认为的观点相矛盾,题干中的homework是对本句中assignment的同义替换,题干是对本句的概括总结,故E项正确。

42. 作者认为,研究人员的新研究在探索屏幕使用时间对幸福感的影响方面更进了一步。

解析:J。根据题干中的has gone a step further可定位至J段最后一句,这项新的研究确实比以前的研究更深入,并且表明,仍然应该把屏幕使用时间视为阻碍年轻人发展的潜在因素,题干定位词是对句中does go further than previous research的同义替换,题干是对本句的同义转述,故J项正确。

43. 研究人员发现,使用屏幕时间过长会让年轻人感到不快乐。

解析:F。根据题干中extended screen time定位至F段第四句,题干中的extended screen time对应本句中的higher doses of screen time,第五句接着举例说在电子设备上花10-19个小时的人比那些花的时间少的人更可能感到不快乐,题干是对此内容的同义概述,故F项正确。

44. 数据显示,可能会影响人们幸福指数的是贫富差距,而不是家庭收入情况。

解析:I。根据题干中economic inequality rather than family income可定位至I段第三句,有证据表明,一些粗略的衡量指标,如收入不平等,与幸福感的变化相关;但具有更直接影响的经济指标,如家庭收入和失业率,则与幸福感没有关系,题干中的定位词是本句提到的两个因素,题干是对本句的概括总结,故I项正确。

45. 人们普遍认为,过多的屏幕使用时间是当今年轻人不快乐的原因。

解析:A。根据题干中too much screen time可定位至A段第六句,而在一些专家和大众媒体中,最普遍的一种说法是,过多的“屏幕时间”是引起未成年人不如意的罪魁祸首。题干中定位词是对本句中excessive “screen time”的同义替换,而题干是对本句的同义转述,故A正确。

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