Christakis Nicholas A, Fowler James H
Department of Health Care Policy, Harvard Medical School, Boston, MA 02115, USA.
N Engl J Med. 2007 Jul 26;357(4):370-9. doi: 10.1056/NEJMsa066082. Epub 2007 Jul 25.
The prevalence of obesity has increased substantially over the past 30 years. We performed a quantitative analysis of the nature and extent of the person-to-person spread of obesity as a possible factor contributing to the obesity epidemic.
We evaluated a densely interconnected social network of 12,067 people assessed repeatedly from 1971 to 2003 as part of the Framingham Heart Study. The body-mass index was available for all subjects. We used longitudinal statistical models to examine whether weight gain in one person was associated with weight gain in his or her friends, siblings, spouse, and neighbors.
Discernible clusters of obese persons (body-mass index [the weight in kilograms divided by the square of the height in meters], > or =30) were present in the network at all time points, and the clusters extended to three degrees of separation. These clusters did not appear to be solely attributable to the selective formation of social ties among obese persons. A person's chances of becoming obese increased by 57% (95% confidence interval [CI], 6 to 123) if he or she had a friend who became obese in a given interval. Among pairs of adult siblings, if one sibling became obese, the chance that the other would become obese increased by 40% (95% CI, 21 to 60). If one spouse became obese, the likelihood that the other spouse would become obese increased by 37% (95% CI, 7 to 73). These effects were not seen among neighbors in the immediate geographic location. Persons of the same sex had relatively greater influence on each other than those of the opposite sex. The spread of smoking cessation did not account for the spread of obesity in the network.
Network phenomena appear to be relevant to the biologic and behavioral trait of obesity, and obesity appears to spread through social ties. These findings have implications for clinical and public health interventions.
在过去30年中,肥胖症的患病率大幅上升。我们对肥胖症在人际间传播的性质和程度进行了定量分析,将其作为导致肥胖症流行的一个可能因素。
作为弗雷明汉心脏研究的一部分,我们评估了一个由12067人组成的紧密相连的社会网络,这些人在1971年至2003年期间接受了多次评估。所有受试者的体重指数均可用。我们使用纵向统计模型来检验一个人的体重增加是否与其朋友、兄弟姐妹、配偶和邻居的体重增加有关。
在所有时间点的网络中都存在明显的肥胖人群集群(体重指数[体重(千克)除以身高(米)的平方],≥30),并且这些集群扩展到了三度分隔。这些集群似乎并非仅仅归因于肥胖者之间社交关系的选择性形成。如果一个人在给定时间段内有一个朋友变得肥胖,那么其自己变得肥胖的几率会增加57%(95%置信区间[CI],6至123)。在成年兄弟姐妹对中,如果一个兄弟姐妹变得肥胖,另一个变得肥胖的几率会增加40%(95%CI,21至60)。如果一方配偶变得肥胖,另一方配偶变得肥胖的可能性会增加37%(95%CI,7至73)。在直接地理位置的邻居中未观察到这些影响。同性别的人相互之间的影响相对大于异性。戒烟的传播并不能解释网络中肥胖症的传播。
网络现象似乎与肥胖症的生物学和行为特征相关,并且肥胖症似乎通过社会关系传播。这些发现对临床和公共卫生干预具有启示意义。