How Leisure Contributes to Well-Being: Explainable Machine Learning and QCA Findings from Nine Waves of the CGSS

Happiness is often measured by what we have: our income, our health, our status. But for decades, researchers have known that how we spend our free time matters just as much. This field of study, known as subjective well-being, looks at how people evaluate their own lives and the emotions they feel day to day. While some activities are clearly good for us, like exercise, and others are clearly harmful, like chronic stress, the middle ground is messy. We know that leisure time is a powerful tool for a good life, yet we rarely know exactly which activities work best, or if they work better when combined. Does reading a book help more than watching a movie? Does meeting a friend matter more than listening to music? And does the answer change depending on who you are or what year it is?

A new study set out to map this territory with unprecedented precision. Instead of asking a small group of people or looking at just one year of data, the researchers analyzed a massive collection of surveys from China spanning thirteen years, from 2010 to 2023. They looked at nearly 86,000 adults, asking them about their happiness and how often they participated in twelve different types of leisure, from physical exercise and reading to watching television and visiting relatives. To make sense of such a complex web of data, the team used advanced computer learning tools that can spot patterns humans might miss. They didn't just look for simple cause-and-effect; they asked how different activities might work together to create a happy life. The result is a clear picture of what actually contributes to well-being in modern China, revealing that there is no single "best" activity, but rather several distinct ways to build a satisfying life.

The researchers started by teaching a computer program to predict whether a person would report being happy or not, based solely on their leisure habits. They tested this against nine different years of data to see if the rules of happiness changed over time. The computer found that leisure activities do have a real, measurable ability to predict happiness, though they are not the only factor. When the team broke down which activities mattered most, five stood out consistently across all the years: physical exercise, watching television or videos, reading books or newspapers, listening to music at home, and meeting friends. Together, these five activities accounted for roughly two-thirds of the predictive power that leisure offered. The ranking of these activities remained remarkably stable over more than a decade, suggesting that these are fundamental pillars of well-being rather than fleeting trends.

One of the most interesting findings concerned television. In many Western studies, watching TV is often linked to lower well-being, viewed as a passive or isolating habit. However, in this large Chinese dataset, watching television or videos was one of the top five most important activities for predicting happiness. The researchers were careful to explain what this means. It does not necessarily mean that watching more TV causes people to be happier. Instead, the data suggests that television is so common and accessible in China that it appears in almost every path to a happy life. It acts as a background presence, a shared cultural experience that is part of the daily fabric for many people, especially older adults and those in rural areas. The computer learned that if you want to predict happiness in this population, you must account for TV, but the study explicitly ruled out the idea that TV is a unique magic bullet that makes people happy on its own.

To understand how these activities work together, the researchers moved beyond simple lists and looked at combinations. They asked: what specific mix of activities leads to a happy life? Using a method that looks for patterns of conditions, they discovered that there is no single recipe. Instead, there are three distinct "portfolios" or styles of leisure that consistently lead to high well-being. The first is the "active-engaged" style, which combines physical exercise with watching television. The second is the "social-relational" style, built on meeting friends and visiting relatives, often alongside watching TV. The third is the "cultural-cognitive" style, which pairs reading and listening to music with television. This discovery is crucial because it shows that people can achieve a high level of well-being through very different lifestyles. A person who loves sports and a person who loves reading might both be very happy, but they get there through different combinations of activities.

The study also looked at how these patterns have shifted over time. While the top activities remained stable, the frequency of certain social interactions saw a notable rise in the years following the pandemic, from 2021 to 2023. Meeting friends and visiting relatives became even more prominent contributors to well-being during this period, suggesting a strong human desire to reconnect after a time of isolation. The researchers noted that while physical exercise and reading have been steady contributors for over a decade, the social aspect of leisure has gained ground, reinforcing the idea that human connection is a vital component of a good life.

These findings offer a clear guide for how societies can support the well-being of their citizens. The study argues against the idea that there is one perfect activity that everyone should do. Instead, it suggests that the most effective approach is to provide a diverse range of options. For younger, active adults, this means investing in community sports facilities and public spaces for exercise. For older adults, it means creating accessible places for social gathering, such as community gardens and senior centers. For those who prefer quiet engagement, it means ensuring access to libraries and cultural programs. The researchers emphasize that television, despite its complex role, remains a vital part of the infrastructure of daily life, serving as a low-cost resource that connects people, particularly during times of crisis.

Ultimately, the study concludes that well-being is not about finding a single perfect hobby. It is about having the freedom and the means to assemble a personal portfolio of activities that fits one's life. Whether that portfolio is built around running and music, friends and family, or books and movies, the path to happiness is diverse. The data shows that as long as people have access to a variety of meaningful ways to spend their time, they can build a life that feels good to them. This approach respects individual differences and acknowledges that what works for one person may not work for another, but that all these paths are valid and powerful ways to thrive.