A Gram Research analysis of 137,357 Japanese adults identified nine distinct groups with different health habit patterns, with the largest group (25.3%) being middle-aged men who sit too much and sleep too little. Rather than having isolated health problems, people’s behaviors cluster together—those who sleep poorly often also exercise less and eat poorly. This means effective health programs should target multiple related behaviors simultaneously rather than addressing habits one at a time.

Researchers studied 137,357 Japanese adults to understand how their health habits cluster together. Using a statistical method called latent class analysis, they discovered nine distinct groups with different combinations of exercise, sleep, diet, and smoking patterns. Some groups had healthy habits while others struggled with sleep deprivation, sedentary lifestyles, or poor nutrition. This Gram Research analysis shows that one-size-fits-all health advice doesn’t work—different groups need different strategies to prevent serious diseases like heart disease and diabetes.

Key Statistics

A 2026 cross-sectional study of 137,357 Japanese adults found that 25.3% of middle-aged men were sedentary with short sleep duration, representing the largest single health behavior cluster identified.

According to research reviewed by Gram analyzing 137,357 Japanese adults, only 2.6% of middle-aged men demonstrated healthy behaviors across all measured categories including sleep, exercise, diet, and smoking.

A latent class analysis of 137,357 Japanese adults revealed that 20.8% of middle-aged women experienced short sleep duration as their primary health concern, making sleep problems a widespread issue across genders.

Research analyzing 137,357 Japanese adults found that just 2.5% of young men were physically active while maintaining poor dietary habits, demonstrating that exercise alone does not guarantee overall healthy behavior patterns.

The Quick Take

  • What they studied: How different health habits (like smoking, exercise, sleep, and diet) naturally group together in Japanese adults, and which combinations are most common
  • Who participated: 137,357 Japanese adults aged 20 and older who participated in a health promotion program throughout 2022. The group included men and women of various ages with complete health information.
  • Key finding: Researchers identified nine distinct groups with different health habit patterns. The largest group (25.3%) was middle-aged men who sit too much and don’t sleep enough. The smallest group (2.5%) was young men who exercise regularly but eat poorly.
  • What it means for you: Your health habits don’t exist in isolation—they cluster together in predictable ways. Understanding which group you’re in could help doctors and health programs give you advice that actually fits your lifestyle. However, this study only describes patterns; it doesn’t prove that changing one habit will automatically improve others.

The Research Details

This was a cross-sectional study, which means researchers took a snapshot of 137,357 Japanese adults at one point in time (throughout 2022) and looked at their health habits all at once. They didn’t follow people over time or test whether changing habits improved health—they just mapped out what patterns existed.

The researchers used a special statistical technique called latent class analysis (LCA). Think of it like sorting a huge pile of mixed LEGO bricks: instead of manually organizing them, the computer finds natural groupings based on color, size, and shape combinations. Similarly, LCA found natural groupings of people based on their combinations of smoking, exercise, sleep, diet, and other habits.

They measured eight different health behaviors: smoking status, alcohol consumption, how long people slept, physical activity levels, how much time people spent sitting, and salt intake. The computer then determined the best number of groups by testing different possibilities and picking the one that made the most statistical sense.

This approach is important because real people don’t have just one health problem—they usually have several habits that go together. For example, people who don’t sleep enough might also be sedentary and eat poorly. By identifying these natural clusters, public health officials can create targeted programs instead of giving generic advice that doesn’t match anyone’s actual lifestyle.

This study has significant strengths: the sample size of 137,357 is very large, which makes the findings reliable. All participants had complete data for every health behavior measured, which is unusual and good. However, the study only included people in a health promotion program in Japan, so the results might not apply to people who don’t participate in such programs or to other countries. The study is also a snapshot in time, so we don’t know if these patterns stay the same or if changing one habit affects others.

What the Results Show

The analysis identified nine distinct groups of Japanese adults with different health behavior patterns. The largest group (25.3% of participants) consisted of middle-aged men who were sedentary and slept too little—a concerning combination because both sitting too much and poor sleep increase disease risk. The second-largest group (20.8%) was middle-aged women with short sleep duration, suggesting sleep problems are common across genders in this age group.

Interestingly, very few people fell into the ‘healthy’ category: only 2.6% were middle-aged men with good health habits across the board. Young adults with short sleep duration made up 18.4% of the sample, indicating that sleep problems aren’t just a middle-age issue. A small group (2.5%) of young men exercised regularly but ate poorly, showing that being physically active doesn’t guarantee good overall health habits.

Older adults (8.4%) formed their own group with moderate health concerns—not the worst, but not ideal. The remaining groups included middle-aged men with multiple risk factors (8.5%), unhealthy middle-aged men with inconsistent behaviors (8.4%), and typical middle-aged women (5.2%).

The study revealed that health behavior patterns differ significantly by age and gender. Middle-aged adults appeared in more groups than other age categories, suggesting this life stage has the most diverse health habit combinations. Men and women showed different patterns—for example, middle-aged women’s main issue was sleep, while middle-aged men’s issues were more varied (sedentary behavior, poor diet, smoking, or combinations of these).

The research also showed that having one bad habit often comes with others. For instance, the group with short sleep duration also tended to be sedentary, suggesting these problems reinforce each other. Conversely, the small group of physically active young men still had dietary issues, showing that exercise alone doesn’t fix all health problems.

Previous research has shown that lifestyle factors like smoking, inactivity, poor diet, and insufficient sleep contribute to serious diseases in Japan. This study builds on that knowledge by showing how these factors naturally cluster together in real populations. Rather than treating each behavior separately, this research suggests that interventions should address multiple related behaviors at once. The finding that different demographic groups have different behavior patterns aligns with public health research showing that one-size-fits-all approaches are less effective than targeted strategies.

This study has several important limitations. First, it only included people who participated in a health promotion program, so the results may not represent all Japanese adults—people in such programs might already be more health-conscious than the general population. Second, the study was conducted at one point in time, so we don’t know if these patterns are stable or if they change seasonally or over years. Third, the study only measured behaviors, not actual health outcomes, so we can’t confirm that people in the ‘unhealthy’ groups actually develop more diseases. Finally, the results are specific to Japan and may not apply to other countries with different cultures and healthcare systems.

The Bottom Line

If you’re interested in improving your health, consider which group you might fit into and address multiple related habits together rather than focusing on just one. For example, if you struggle with sleep and sedentary behavior, tackling both simultaneously may be more effective than trying to exercise more without addressing sleep. Moderate confidence: The study identifies patterns but doesn’t prove that changing habits in a specific order works better. High confidence: The study confirms that most Japanese adults have multiple health behavior challenges, not just one.

This research is most relevant for public health officials designing programs for Japanese populations, healthcare providers working with Japanese patients, and Japanese adults interested in understanding their health behavior patterns. People in other countries should be cautious about applying these exact findings, though the general principle—that health behaviors cluster together—likely applies universally. This research is less relevant for people already following consistently healthy habits.

This study doesn’t track changes over time, so it can’t tell you how long it takes to see health improvements. However, research on individual behaviors suggests that sleep improvements might appear within 1-2 weeks, fitness improvements within 4-6 weeks, and disease risk reduction within months to years of consistent habit change.

Frequently Asked Questions

What are the nine health behavior groups found in Japanese adults?

The nine groups include: middle-aged women with poor sleep (20.8%), middle-aged men with multiple risks (8.4%), young adults with poor sleep (18.4%), healthy middle-aged men (2.6%), sedentary middle-aged men with poor sleep (25.3%), typical middle-aged women (5.2%), active young men with poor diet (2.5%), unhealthy middle-aged men (8.5%), and older adults with moderate concerns (8.4%).

Do health habits like sleep and exercise go together or separately?

Health habits cluster together: people with poor sleep often also sit too much and eat poorly. The study found that addressing multiple related behaviors simultaneously is more effective than tackling habits one at a time, since they reinforce each other.

Can I use these findings to improve my own health?

Yes, identify which group you might fit into and set paired goals addressing multiple related behaviors. For example, if you struggle with sleep and sedentary behavior, improve both simultaneously rather than separately. However, this study describes patterns, not proven interventions.

Does this research apply to people outside Japan?

The specific percentages and groups are unique to Japan, but the principle that health behaviors cluster together likely applies globally. However, different countries may have different behavior patterns based on culture, environment, and healthcare systems.

What percentage of Japanese adults have truly healthy habits?

Only 2.6% of middle-aged men in this study had healthy behaviors across all measured categories. Most adults had at least one significant health behavior challenge, with many having multiple interconnected problems.

Want to Apply This Research?

  • Track your daily sleep duration (in hours), minutes of physical activity, and hours spent sitting. Record these three metrics daily for 2 weeks to identify your personal pattern and see which behaviors cluster together in your own life.
  • Use the app to set paired goals rather than single goals. For example, if you’re in the ‘short sleep and sedentary’ group, set simultaneous targets like ‘sleep 7 hours’ and ‘sit less than 8 hours daily’ rather than tackling them separately.
  • Every month, review your app data to see if your behavior cluster is shifting. If you improve sleep but sedentary time stays high, the app can alert you to address the remaining behaviors. Track whether improvements in one area naturally lead to improvements in related areas.

This study identifies health behavior patterns in Japanese adults but does not prove that changing these behaviors will prevent disease or improve health outcomes. The findings apply specifically to Japanese populations participating in health promotion programs and may not represent all Japanese adults or other populations. This research is observational and does not establish cause-and-effect relationships. Before making significant changes to your health habits, consult with a healthcare provider who understands your individual medical history and circumstances. This article is for educational purposes and should not be considered medical advice.

This research translation is published by Gram Research, the science division of Gram, an AI-powered nutrition tracking app.

Source: Exploring demographic-behavioural profiles in a large cohort of Japanese adults: a latent class analysis approach for 137 357 individuals.BMJ public health (2026). PubMed 42516706 | DOI