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An analysis of 400 people with diabetes found that more time in the normal glucose range on one day was associated with better reported quality of life the next day. Greater glucose variability on the previous day was also linked to better next-day well-being, a result researchers say may reflect the burden of trying to suppress every fluctuation. The study does not show that poor glucose control improves health or quality of life.
Researchers studying 400 people with type 1 or type 2 diabetes found that greater glucose variability on one day was associated with better reported quality of life the next day, even as more time in the normal glucose range also had a positive association. The findings, due to be presented at the European Association for the Study of Diabetes (EASD) Annual Meeting in Milan, raise questions about how the effort to limit glucose swings may affect daily life; they do not show that less stable blood sugar is beneficial.
The analysis drew on the PRO-MENTAL study, funded by the German Center for Diabetes Research. Participants wore continuous glucose monitors and rated their well-being each day for 14 consecutive days using ecological momentary assessments based on the WHO-5 questionnaire. The questionnaire covered feeling cheerful, calm, active, rested and interested in daily life. Participants also reported on sleep, stress, mood and energy.
The researchers examined time below 70 mg/dl, time above 180 mg/dl, time in the 70–140 mg/dl range, and glucose variability, which describes how much glucose rises and falls. Statistical models looked at whether these measures on one day were associated with quality-of-life ratings the following day. The team accounted for age, sex, diabetes type and the prior day’s quality-of-life rating. A separate analysis compared glucose readings and well-being measured on the same day.
The sample was 72% people with type 1 diabetes and 28% with type 2; 55% were female. Participants’ median age was reported as 47, with a range of 32 to 63, and mean HbA1c was 7.6%. More time in the normal range on one day was associated with better quality of life the next day. Greater-than-usual variability also had a positive association. Prior-day time above or below the specified ranges was not significantly associated with next-day quality of life. Same-day glucose measures were not associated with same-day quality-of-life ratings.
Balancing Glucose Goals and Daily Life
The results point to a question that glucose readings alone cannot answer: how diabetes management affects a person’s ability to take part in ordinary activities. The researchers suggest that trying to eliminate every fluctuation may bring restrictions or effort that weigh on well-being for some people. That is an interpretation of the observed association; the analysis did not establish that strict management caused lower quality of life.
The findings also do not argue against glucose control. More time in the study’s normal range was associated with better next-day well-being, and the study did not test health outcomes from changing treatment. Its contribution is to show that daily quality of life and glucose patterns may relate in more than one way. A measure such as variability cannot be read in isolation as a reason to relax an individual’s care plan.
For clinicians and researchers, the result highlights the value of asking about the practical burden of diabetes management alongside glucose metrics. The authors say some people may feel unable to take part in certain activities safely when trying to minimize fluctuations. The data do not identify which activities, restrictions or management choices were involved, so those possible explanations need further study.
Fourteen Days of Daily Reports
The study focused on a short period of everyday life rather than a single clinic measurement. Continuous glucose monitoring recorded patterns around the clock, while daily questionnaires captured participants’ own assessments of mood, energy, sleep, stress and well-being. This approach allowed the researchers to compare changes from one day to the next within the same participants.
The distinction between glucose measures matters. Time in range tracks how long readings fall within a defined band; time above or below range tracks readings outside specified thresholds; variability describes the size of rises and falls. In this study, the normal band was 70–140 mg/dl, while the thresholds for time below and above range were under 70 and over 180 mg/dl. These measures were analyzed as associations with reported well-being, not as treatment recommendations.
The research was conducted by Professor Dominic Ehrmann of FIDAM, the Research Institute Diabetes Academy Mergentheim in Bad Mergentheim, Germany, and colleagues. Its findings are being presented at the EASD meeting in Milan, scheduled for Sept. 28 through Oct. 2, 2026. The source material describes the work as research to be presented at the meeting.
““Days with higher time in the normal safe range for blood sugar were followed by days on which individuals with type 1 and type 2 diabetes reported better quality of life.””
— The study authors
What the Data Cannot Establish
The analysis found associations, not proof that glucose variability changes quality of life or that attempts to limit variation reduce it. The source material does not report the size of the associations, so readers cannot tell how large the differences in well-being ratings were. It also does not provide details on how participants’ diabetes treatments or daily activities varied during the two-week observation period.
The study included people with both major diabetes types, but the reported summary does not say whether the observed associations differed between type 1 and type 2 diabetes. It also does not establish whether the pattern would hold over longer periods, in other groups, or for people with different glucose-management approaches. The finding that time above or below range was not associated with next-day quality of life in this analysis does not establish that those readings are harmless.
Presentation and Further Research
The researchers are scheduled to present the findings at the EASD Annual Meeting in Milan, running Sept. 28 to Oct. 2, 2026. The source report does not describe a specific next study or say whether additional analyses are planned. Meeting presentation may provide more detail on the statistical results and study methods.
Further research would need to test the proposed explanation that strict efforts to reduce fluctuations can add burden or limit activities. Longer follow-up, more detail about participants’ daily choices and treatment, and results separated by diabetes type could help show how broadly the association applies. For now, the findings describe a relationship observed over 14 days and do not change individual treatment guidance.
Key Questions
What did the diabetes study find?
In 400 people with diabetes, more time in the 70–140 mg/dl glucose range on one day was associated with better reported quality of life the next day. Greater glucose variability on the prior day was also associated with better next-day ratings.
Does the study say glucose swings are good for people with diabetes?
No. It found an association, not proof that glucose swings improve well-being. The researchers suggest that trying to suppress every fluctuation might add burden for some people, but the study did not establish that explanation or test changes to treatment.
How was quality of life measured?
Participants completed daily assessments for 14 days based on the WHO-5 questionnaire, rating areas such as mood, calm, energy, rest and interest in daily activities. They also reported sleep, stress, mood and energy.
Did high or low glucose readings predict next-day well-being?
Time above 180 mg/dl and time below 70 mg/dl on the prior day were not significantly associated with next-day quality of life in this analysis. That result does not show that readings outside those thresholds are harmless.
When are the findings being presented?
The researchers are due to present the findings at the EASD Annual Meeting in Milan, scheduled for Sept. 28 to Oct. 2, 2026.
Source: rss
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