Holiday weight gain is often smaller than expected, yet some can remain for months. Research helps separate a temporary rise from a lasting change.
On the morning you return to work, the scale seems to have an opinion about every meal you enjoyed during the break. Perhaps there was Christmas dinner, a visit to family, or osechi, the assortment of traditional dishes served at Japanese New Year. The scale does not display the holiday calendar. We supply the explanation ourselves: holiday weight gain.
Weight gain during holidays has been observed in several adult studies, but this does not mean everyone gains a large amount. A review of adult research reported winter holiday increases of roughly 0.4–0.9 kg. The participants and measurement periods differed between studies, so this range cannot be treated as a standard for New Year in Japan. These are published averages; they cannot predict your own January weigh-in.[4]
The useful question goes beyond the highest reading after the celebrations. How much has changed since before the break, and what remains after ordinary life resumes? Following that sequence turns the topic into something more practical than an annual exercise in regret. The research invites us to plan around a disrupted routine, then check what happens afterward, rather than assume either disaster or an automatic return to normal.[3][5]

Average holiday gains are smaller than the popular story
One frequently cited prospective study followed 195 adults in the United States, weighing them before, during and after the holiday period. A prospective study observes the same people as time passes. This was a convenience sample of people who could readily participate; it was not a randomly selected national sample. Its results describe those participants and should not be presented as the average for all Americans.[5]
The researchers were examining a familiar claim that people gain at least 2.3 kg between Thanksgiving and New Year. The measured average holiday gain was 0.37 kg, with a standard deviation of 1.52 kg. Standard deviation describes the spread of individual changes around the average. The relatively small average therefore did not mean that everyone had a similarly small change. A headline about the mean can conceal quite different individual experiences.[5]
The observation window also matters. The holiday period ran from mid-November to early or mid-January. The researchers compared it with an earlier period in the fall and a later period ending in late February or early March. They were studying changes across a stretch of the calendar, without isolating the effect of a particular meal. For readers in Tokyo, this is closer to considering the run of year-end gatherings and the return to work than examining only the short New Year break.[5]
Another observational study measured 148 men and women aged 18–65 before and after the holidays. Their average gain was 0.78 kg, with a 95% confidence interval of 0.57–0.99 kg. The interval gives a range of plausible values for the group average, reflecting uncertainty in the estimate. It is not a boundary within which every participant’s weight gain fell. Comparing your change with a study average is already a limited exercise; treating its confidence interval as your personal expected range makes that comparison less useful.[18]
The same study found an average increase in body fat percentage of 0.5 percentage points. Its 95% confidence interval was 0.12–0.77 percentage points, and the increase was statistically significant. Body fat percentage is the proportion of body weight represented by fat. Participants with obesity had a larger increase in this measure than participants of normal weight. Compared with participants with overweight, however, the larger increase was only a trend and was not statistically significant. Those distinctions should remain visible when the result is discussed.[18]
These findings let us ask separate questions about the amount gained, the variation between people and changes in body composition. They do not identify one food as the cause or justify dividing holiday dishes into a simple list of acceptable and unacceptable choices. This feature focuses on what happens across a break and afterward. The broader questions of eating out and food environments belong to their own discussions. Here, the calendar and the sequence of measurements are central to interpreting the evidence.
初日の汗は、予約した人だけが持ち帰れる。
A return to work does not guarantee a return to baseline
In the study of 195 adults, average weight decreased by 0.07 kg after the holidays, but that change was not statistically significant. Statistical significance indicates whether a result is difficult to explain by chance variation under the analysis used; it does not tell us whether a change feels important to an individual. Compared with the preceding fall, participants still had an average net increase of 0.48 kg by late February or March.[5]
The researchers also weighed 165 returning participants the following fall. There was no statistically significant additional change between spring and fall. Because the fall and winter gain was not reversed during the spring and summer, the authors suggested that it could contribute to the weight gain often seen during adulthood. This is a finding about a group followed over time. It does not say that an individual who gains weight during a break can never lose it.[5]
European weight-maintenance data offer another view of persistence. The Christmas analysis included 1,062 participants and found an average increase of 1.35% in body weight. That increase was not fully compensated for in the following months. Even among people participating in a program intended to support weight maintenance after weight loss, the festive change did not simply disappear once the holiday ended.[3]
This group also needs to be described accurately. Participants were involved in a weight-loss maintenance trial and had a weight history that distinguished them from the general population. Differences between countries were observed. Their percentage change cannot be used to forecast the result for someone of a different age or living in a different setting. It does challenge the assumption that motivation and previous weight-management experience inevitably protect people from holiday disruption.[3]
There is also evidence of weight falling after a holiday. In a trial of daily self-weighing, the control group lost an average of 1.14 kg over the subsequent 14 weeks. Nevertheless, 57% of its holiday increase remained. From before the holiday to the end of follow-up, its average net gain was 1.51 kg. Losing some of the gain and returning fully to the starting point are different outcomes, and both parts of this finding matter.[13]
For everyday use, this suggests keeping the preholiday comparison in view. Starting work again is an event on your calendar; returning to your earlier weight is an outcome that has to be checked. The studies do not require treating a small gain as a crisis. They do make it unwise to dismiss it solely because the holiday is over. A later measurement answers a question that the date alone cannot settle.[3][5][13]
The social calendar matters as well as the season
A study of Australian adults used repeated weight records to investigate weekly, seasonal and festive patterns. The analysis included 368 people, whose average age was 40.2 years; 56.8% were women. Researchers examined changes around Christmas and New Year and Easter, as well as across days of the week and seasons. They removed each individual’s gradual longer-term upward or downward trend before comparing recurring patterns. This approach helped distinguish periodic changes from the broader direction of someone’s weight over the year.[1]
The average increase around Christmas and New Year was 0.65%. In Australia, those celebrations take place in summer. Participants were heaviest in summer and lightest in fall, although some weight was regained in winter. The authors identified Christmas and New Year, weekends and winter as higher-risk periods for weight gain. This was not a study conducted under the same temperature conditions as a Japanese winter. Its festive increase cannot be explained simply by saying that cold weather causes holiday gain.[1]
There was also a weekly pattern. Weight fluctuated by approximately 0.3%, or 252 g, with Monday and Tuesday the heaviest days. It declined toward Friday and rose across the weekend into Monday. In a group with that recurring pattern, comparing only a Friday before a break with a Monday afterward could mix a weekday difference with a holiday difference. Check the days being compared before attributing the change to the most memorable meal.[1]
European maintenance data similarly showed within-week fluctuations of 0.35%, characterized by weekend increases and weekday decreases. Seasonal patterns were mainly shaped by Christmas weight gain. The shared lesson is that weight need not move evenly through the year. It can follow recurring features of ordinary life, including the rhythm of workdays and days off. A season’s name alone is therefore an incomplete description of the period in which a change occurred.[3]
There is a clue involving Japan, too. An international report used wireless-scale data from 2,924 people and observed increases around Christmas, as well as Golden Week in Japan, Easter in Germany and Thanksgiving in the United States. Golden Week is Japan’s cluster of spring public holidays. The report does not give a separate estimate for Japanese New Year or detailed information about the Japanese participants. It therefore cannot establish how many kilograms adults in Japan typically gain during New Year.[20]
What the report does support is a connection between festive periods and observed weight changes in different national calendars. When considering your own break, look at gatherings, visits and interruptions to your usual routine alongside the weather. A family celebrating both Christmas and Japanese New Year may find the sequence of events more relevant than the formal length of any single holiday. That is an application of the research question to a personal calendar, rather than a quantified forecast from the studies.[1][20]
There is no need to mark every holiday as a problem day. Instead, identify the periods when your meals and activity are organized differently, then compare what happens before and after them. The recurring patterns in the research help frame questions about your own life. They do not establish that a particular celebration must cause you to gain weight. Making room for individual observation preserves the distinction between a group pattern and a personal outcome.[1][3]
Annual and festive changes also should not be treated as interchangeable numbers. In the Australian study, median weight change over the year was 0.26%, or 218 g. The median is the middle value when individual changes are arranged in order. The Christmas and New Year figure of 0.65% was an average, and the periodic analysis had removed longer-term trends. Subtracting one from the other would not reveal how much weight participants lost after the festivities. They summarize different aspects of the data.[1]
The people providing those records wore activity trackers and were encouraged to weigh themselves, preferably daily but at least weekly. They were taking part in a study that involved monitoring everyday life. The same detailed pattern cannot simply be asserted for people who do not keep records. Frequent measurements revealed regularities in this group; those regularities can help readers consider the timing of comparisons without pretending that everyone follows the same weekly curve.[1]
Numbers: holiday weight gain and what remains
0.37 kg: average holiday gain in the US study of 195 adults; the standard deviation was 1.52 kg, indicating substantial variation between people.[5]
0.48 kg: average net gain from the preceding fall to the following spring in that study; a substantial spontaneous postholiday decline was not observed.[5]
1.35%: average Christmas weight increase among 1,062 European weight-maintenance participants; it was not fully compensated for in the following months.[3]
0.65%: average Christmas and New Year increase among the Australian adults, whose festive season occurred under different seasonal conditions from Japan’s.[1]
−0.99 kg: pooled difference between adult holiday-prevention intervention and comparison groups; the 95% confidence interval of −2.15 to 0.18 kg included no difference.[2]
初日の汗は、予約した人だけが持ち帰れる。
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