Tag Archives: social networks

Sociologists’ claim: interactions with others is how religion leads to greater life satisfaction

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A new study in the American Sociological Review looks at why religious people have higher levels of life satisfaction. The conclusion: it is about the networks that form among people who attend services.

Here is a short description of the study:

Many studies have uncovered a link between religion and life satisfaction, but all of the research faced a “chicken-and-egg problem,” Lim said. Does religion make people happy, or do happy people become religious? And if religion is the cause of life satisfaction, what is responsible — spirituality, social contacts, or some other aspect of religion?

Lim and his colleague, Harvard researcher Robert Putnam, tackled both questions with their study. In 2006, they contacted a nationally representative sample of 3,108 American adults via phone and asked them questions about their religious activities, beliefs and social networks. In 2007, they called the same group back and got 1,915 of them to answer the same batch of questions again.

The surveys showed that across all creeds, religious people were more satisfied than non-religious people…

But the satisfaction couldn’t be attributed to factors like individual prayer, strength of belief, or subjective feelings of God’s love or presence. Instead, satisfaction was tied to the number of close friends people said they had in their religious congregation. People with more than 10 friends in their congregation were almost twice as satisfied with life as people with no friends in their congregation.

A few thoughts based on the description of this study:

1. This would seem to support arguments within faith traditions, such as evangelicalism, about the need for religious community.

2. The study suggests these friendships form around “a sense of belonging to a moral faith community.” This sounds like Durkheim and his ideas about people coming together and forming a collective.

3. This sounds like a worthwhile study because it helps explain the causal mechanism between greater life satisfaction and religion: it is about friendships. But, this doesn’t say much about how these friendships lead to greater life satisfaction. Is it because there is someone to share one’s burdens with? Is it because these friends provide spiritual guidance?

4. Are there substitutes for this kind of boost to life satisfaction? That is, are there functionally equivalent things people could do to get the same benefits that religious people get from friendships with people who share their faith?

5. The findings were primarily about the large American religious groups: “Catholics and mainline and evangelical Protestants.” Would these findings hold for other groups in America? Would they hold in other countries?

Obesity as “social contagion”

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Findings in recent years that certain medical conditions, such as obesity, are strongly influenced by social networks have seemed to shake up thinking about how such conditions spread. A new model that explores obesity as a “social contagion” suggests obesity will eventually “spread” to at least 42% of the US population:

The social contagion hypothesis garnered widespread attention in 2007 when researchers from UC San Diego, documented that obesity can spread through a social network — just like viruses spread — because people “infect” each other with their perceptions of weight. That study was published in the New England Journal of Medicine, and subsequent research has confirmed the validity of the social contagion theory.

In a paper published Thursday in the journal PLoS Computational Biology, Harvard scientists applied a mathematical model of social contagion to 40 years of data from the Framingham Heart Study, a study that has followed more than 5,000 adult residents of Framingham, Mass., since 1948 to assess their heart health. Among the participants of that study, obesity increased from 14% in the 1970s to 30% in 2000 and continues to increase. Based on that data, the rapid upswing in obesity rates is due largely to social-network influence, said the authors of the new study. But, they noted, any subsequent rise in obesity rates will be slower than it has in the past. It may take another 40 years to reach that 42% obesity mark.

Interesting findings and I bet it is a complicated (but interesting) method by which such models are constructed.

If similar models were applied to other conditions or diseases, what are the results? In addition to obesity, what conditions are strongly influenced by social networks? Additionally, how can social networks be changed or altered so that an issue like obesity is combated?

How the honeybee problem was identified: through the social networks of scientists

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Learning about how exactly scientific advances are made can be very interesting. While people might have images of people squirreled away in offices feverishly conducting experiments and reading articles, social networks play a large role in solving problems. Buried in this story about the discovery of the fungus and virus combination that is killing honeybees is how the two teams that solved the problem came together:

But it took a family connection — through David Wick, Charles’s brother — to really connect the dots. When colony collapse became news a few years ago, Mr. Wick, a tech entrepreneur who moved to Montana in the 1990s for the outdoor lifestyle, saw a television interview with Dr. Bromenshenk about bees.

Mr. Wick knew of his brother’s work in Maryland, and remembered meeting Dr. Bromenshenk at a business conference. A retained business card and a telephone call put the Army and the Bee Alert team buzzing around the same blossom.

The first steps were awkward…The process eventually was refined.

By working through this family connection, two teams that each had their own expertise were able to pool their knowledge and resources and come to a solution.

The “friendship paradox” and the spread of disease

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The social dimensions of diseases and medical conditions continue to draw research attention, particularly for those interested in mapping and understanding fast-spreading illnesses. A recent study, undertaken by a sociologist and medical geneticist/political scientist, explores how the flu spreads:

The persons at the center of a social network are exposed to diseases earlier than those at the margins states the paradox. Again, your friends are probably more popular than you are, and this “friendship paradox” may help predict the spread of infectious disease. However, Christakis and Fowler found that analyzing a social network and monitoring the health of members is an optimal way to predict a wave of influenza, detailed information simply doesn’t exist for most social groups, and producing it is time-consuming and expensive…

[Sociologist Nicholas] Christakis states: We think this may have significant implications for public health. Public health officials often track epidemics by following random samples of people or monitoring people after they get sick. But that approach only provides a snapshot of what’s currently happening. By simply asking members of the random group to name friends, and then tracking and comparing both groups, we can predict epidemics before they strike the population at large. This would allow an earlier, more vigorous, and more effective response.

This sounds like it has more promise than recently proposed techniques like monitoring Google searches or Twitter feeds.

Additionally, more and more research suggests that monitoring and analyzing social networks is critical for understanding the complex world. Rather than simply examining individuals, we now have some tools to map and model more complex social relationships.