According to Gram Research analysis, a study of 1,358 adults found that men and women may need different strategies to eat healthier. While motivation was the strongest factor influencing diet quality for both genders, the specific elements that matter differed: men’s eating was more influenced by automatic habits and what others eat, while women’s choices involved more personal identity. The COM-B model explained 22 percent of diet quality variation in men, suggesting that tailored, gender-specific nutrition programs may be more effective than one-size-fits-all approaches.
A new study found that men and women may need different strategies to eat healthier foods. Researchers tested a popular health behavior model with over 1,300 people, mostly men, and compared the results to earlier research done mostly with women. The study shows that while the basic framework for understanding healthy eating works for both genders, the specific factors that matter most differ between men and women. For example, men’s eating habits are more influenced by their daily routines and what they see others eating, while women’s choices involve more personal identity and decision-making. These findings suggest that health programs should be tailored differently for men versus women to be most effective.
Key Statistics
A 2026 study of 1,358 adults published in Appetite found that the COM-B behavior model explained 22 percent of the variation in diet quality among men, with motivation emerging as the strongest predictor of healthy eating choices.
Research comparing male-dominant and female-dominant samples revealed that men’s eating habits were more influenced by automatic routines and descriptive norms (what others eat), while women’s choices involved greater personal identity factors, suggesting gender-specific differences in dietary decision-making.
In a conceptual replication study, factors important for women’s healthy eating such as identity and instrumental attitudes did not remain significant in the male-dominant sample, indicating that gender-specific intervention design may improve nutrition program effectiveness.
The Quick Take
- What they studied: Whether the same factors that influence healthy eating in women also apply to men, using a framework called the COM-B model that looks at capability (skills and knowledge), opportunity (environment and social factors), and motivation (desire and intention).
- Who participated: 1,358 adults, with about 67 percent men. This was a replication study comparing results to earlier research that had mostly women participants.
- Key finding: The COM-B model explained 22 percent of why people eat healthier or less healthy diets in the male-dominant group. While the overall framework worked for both genders, the specific factors that mattered most were different. Motivation was the strongest predictor of diet quality for men, just as it was for women.
- What it means for you: If you’re a man trying to eat healthier, focusing on building motivation and intention may be more effective than other approaches. However, this is early-stage research, and individual differences matter. Talk to a healthcare provider about what strategy might work best for your situation.
The Research Details
Researchers used a study design called a conceptual replication, which means they took an earlier study that worked mostly with women and repeated it with a group that was mostly men. They used the same measurement tools and similar analysis methods so they could fairly compare the results. The study involved 1,358 participants who answered detailed questions about their eating habits, their confidence in making healthy choices, their home food environment, what they saw others eating, and their intentions around food. The researchers then used a statistical method called structural equation modeling to see how all these factors connected to each other and to actual diet quality.
The COM-B model is a framework that organizes factors into three main categories. Capability includes your knowledge and skills around healthy eating. Opportunity includes your environment, like what food is available at home, and social factors, like what your friends eat. Motivation includes your desire to eat well, your intentions, and your confidence that you can do it. The researchers tested whether these three categories predicted diet quality in the same way for men as they had for women.
Most health behavior research has been done with women, so we don’t always know if the findings apply equally to men. This study is important because it directly tests whether the same model works for both genders using the exact same tools. Understanding how men and women differ in what influences their eating choices helps researchers and health professionals design better programs. A one-size-fits-all approach to nutrition education might not work as well as programs tailored to how different groups actually make food decisions.
This study has several strengths. It used a large sample size of over 1,300 people, which makes the results more reliable. It directly compared results to an earlier study using the same methods, which is a rigorous approach. The researchers were transparent about limitations they found, including some overlap between concepts that should have been distinct. However, the study is observational, meaning it shows associations but not cause-and-effect relationships. The researchers also note that their findings about gender differences should be treated as hypothesis-generating, meaning they suggest directions for future research rather than definitive conclusions.
What the Results Show
The COM-B model explained 22 percent of the variation in diet quality among men, which is considered acceptable but means many other factors also influence eating habits. Motivation emerged as the strongest direct predictor of diet quality, just as it had in the earlier female-dominant study. This suggests that helping people build stronger intentions and confidence around healthy eating may be particularly important.
However, the specific factors within each category that mattered differed between men and women. For men, the capability factors that stuck out were action control (the ability to stick to plans) and habits (automatic eating patterns). For opportunity, descriptive norms (what you see others eating) and the home food environment (what food is available at home) were important. For motivation, self-efficacy (confidence you can eat well), intentions, affective attitudes (how you feel about healthy food), and perceived behavioral control all mattered.
Some factors that were important in the female-dominant study did not remain important in the male-dominant study. These included identity (how much healthy eating is part of your self-image), decision-making barriers (obstacles you face when choosing food), instrumental attitudes (practical beliefs about food), and the shopping environment. This suggests that men and women may think about food choices differently.
The researchers also found some overlap between concepts that should theoretically be separate. For example, habits and action control seemed to measure similar things in the male sample, as did self-efficacy and intention. This overlap suggests that the way these concepts are measured may need adjustment for men. The researchers noted that these findings are hypothesis-generating, meaning they point to areas where future research should look more closely.
This study directly compared results to earlier research using the COM-B model in a female-dominant sample. While the overall framework held up in both groups, the specific details differed. The earlier study found that identity and instrumental attitudes were important for women, but these factors did not remain important in the male-dominant sample. This suggests that gender-specific differences in how people approach healthy eating are real and measurable, not just random variation.
The study is observational, so it shows which factors are associated with healthier eating but cannot prove that one causes the other. The researchers only measured diet quality at one point in time, so they cannot track whether changes in motivation actually lead to changes in eating habits over time. The sample may not represent all men or all women, as participants self-selected to join the study. The researchers also note that the overlap they found between some concepts suggests the measurement tools may need refinement for use with men. Finally, this is a hypothesis-generating study, meaning the gender differences found should be confirmed in future research before drawing firm conclusions.
The Bottom Line
Based on this research, health professionals designing programs for men should emphasize building motivation, intention, and confidence around healthy eating. They should also pay attention to the home food environment and what eating patterns feel automatic or habitual. For women, based on the earlier study, programs should also address personal identity and how healthy eating fits into self-image. These recommendations have moderate confidence because the study is observational and hypothesis-generating. Always consult with a healthcare provider about what approach might work best for your individual situation.
This research is most relevant for health professionals, nutritionists, and public health experts designing eating behavior programs. It’s also useful for men who want to understand what factors might influence their eating choices. Women may find it interesting to understand how their decision-making around food might differ from men’s. The findings are less directly applicable to people who don’t fit neatly into gender categories, as the study focused on gender-dominant samples.
Building stronger motivation and intention around healthy eating typically takes several weeks to a few months to show results in actual diet quality. Changing automatic habits and the home food environment may take longer, often 2 to 3 months or more. Individual variation is significant, so some people may see changes faster or slower than others.
Frequently Asked Questions
Why do men and women eat differently according to this research?
Research shows men and women are influenced by different factors when choosing what to eat. Men’s eating is more shaped by automatic habits and what they see others eating, while women’s choices involve more personal identity and how healthy eating fits their self-image. These differences suggest nutrition programs should be tailored by gender.
What is the most important factor for men to eat healthier?
According to this 2026 study, motivation is the strongest predictor of diet quality in men. This includes building stronger intentions to eat well, increasing confidence that you can make healthy choices, and developing positive feelings about nutritious foods. Focusing on motivation may be more effective than other approaches.
How much of healthy eating can the COM-B model explain?
The COM-B model explained 22 percent of why men eat healthier or less healthy diets in this study. This means many other factors also influence eating choices, including genetics, income, time availability, and personal preferences. The model is useful but not a complete explanation.
Should I use different nutrition advice if I’m a man versus a woman?
This research suggests that gender-specific approaches may be more effective, but individual differences matter greatly. A healthcare provider or registered dietitian can help you identify which specific factors most influence your personal eating choices and develop a strategy tailored to you, regardless of gender.
Can this study prove that motivation causes healthier eating?
No, this observational study shows that motivation is associated with healthier eating but cannot prove cause-and-effect. Future research tracking people over time would be needed to confirm whether increasing motivation actually leads to diet improvements. The findings are hypothesis-generating rather than definitive.
Want to Apply This Research?
- Track your eating intentions daily and rate your confidence in sticking to healthy choices on a scale of 1 to 10. Also note what automatic eating habits you notice (like reaching for snacks at certain times) and what foods are easily available in your home. Over 4 weeks, watch whether increases in your confidence and intention scores correlate with improvements in your overall diet quality.
- Set a specific, measurable eating intention each week (for example, ‘I will eat vegetables with dinner 5 days this week’) and use the app to track your confidence that you can achieve it. Also use the app to log what foods are available in your home and identify one automatic eating habit you want to change. Focus on building motivation by connecting healthy eating to something you care about.
- Use the app to track motivation and intention weekly, home food environment monthly, and overall diet quality every 2 weeks. Look for patterns between weeks when your motivation is high and weeks when your diet quality improves. Adjust your approach based on what you learn about which factors most influence your personal eating choices.
This research is observational and hypothesis-generating, meaning it identifies associations but cannot prove cause-and-effect relationships. The findings about gender differences should be confirmed in future research. Individual responses to dietary interventions vary greatly based on personal circumstances, genetics, and preferences. This article is for educational purposes only and should not replace professional medical or nutritional advice. Consult with a registered dietitian or healthcare provider before making significant changes to your diet or starting a new nutrition program, especially if you have existing health conditions or take medications that affect nutrition.
This research translation is published by Gram Research, the science division of Gram, an AI-powered nutrition tracking app.