Study analysis · The lancet. Diabetes & endocrinology · 2026
New data from 55 million adults reveals England's obesity crisis is worsening—and the sharpest rises are in young adults and the most deprived groups.
In England, about 30 in 100 adults had obesity by 2025, up from 26 in 100 in 2019, with new cases rising fastest in people in their 20s and 30s and in poorer and some ethnic minority groups.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
In simple terms
This study looked at health records for almost everyone in England to see how common obesity was and how it changed over time. Because it just observed people without changing anything, it can show us patterns and links—like obesity being more common in some groups—but it can't prove what causes obesity. Think of it like watching traffic: you can see which roads are busy, but you can't prove why people chose those roads.
What’s the bottom line?
Researchers looked at health records for nearly 55 million adults in England from 2019 to 2025 to see how many people were newly recorded as obese and how many had obesity overall. They found that obesity is common and rising slightly, with bigger increases in younger adults and much higher rates in poorer groups and some ethnic groups.
How strong is this study?
The study is huge—it includes over 54 million adults—and uses official health records, which makes its numbers about obesity trends pretty reliable for England. However, because it's based on records and we only have the summary, we can't check for all possible mistakes or missing information, so we should be careful about trusting every detail. It's like having a very large photo of a crowd: you can count people, but you might miss some who are hidden.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
38 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control groupno control group
- Sample size (n=54892390)+20/20
- Follow-up+10/10
100 / 100
54 / 100
- P-valuesno p-values reported
- Effect size+20/20
- Confidence intervals+15/15
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 547 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
This design cannot establish causation — the findings describe an association, not a cause. Observational cohort design without randomization; cannot control for unmeasured confounding; temporal associations may be influenced by reverse causation or secular trends; no experimental manipulation; findings show associations and trends, not cause-effect.
No Conflicts
No conflicts of interest identified
No conflicts of interest identified. Study funded by non-commercial research organizations with no industry involvement.
Funders
No author list or competing interests section provided. Funding from non-commercial sources; no industry ties evident. The study uses national electronic health records, but independent analysis safeguards are not described.
Key takeaways
- 01
About 22 out of every 1,000 adults were newly recorded as obese each year.
- 02
The rate was 4% higher relatively by the end of the study compared with the start (IRR 1.04), which is about 1 extra new case per 1,000 adults per year.
- 03
Overall, 30.3% of adults had obesity by 2025, up from 26.3% in 2019—an absolute increase of 4.0 percentage points.
- 04
The poorest group had a 35% higher relative incidence than the least poor group (IRR 1.35); the absolute extra number of cases was not reported.
- 05
The relative increase was 16% in adults aged 20-29 and 19% in those aged 30-39.
- 06
For every 1,000 adults, about 22 were newly recorded with obesity each year, and the 4% relative rise means about 1 extra new case per 1,000 adults per year by the end.
- 07
Overall, about 30 in 100 adults had obesity by 2025, compared with about 26 in 100 in 2019—a 4 percentage point absolute increase.
- 08
The poorest groups had a 35% higher relative incidence, but the study did not report the absolute extra number of cases for that disparity.
- 09
The data show clear inequalities but cannot prove what caused them.
Surprising findings
- Geographical disparities were striking, with obesity prevalence varying nearly 6-fold across areas (8.5% to 48.1%).The abstract explicitly calls these disparities 'striking,' suggesting they exceeded typical expectations for regional variation.
Practical takeaways
Public health efforts should target young adults (20–39) and the most deprived groups, including Asian women, to address widening inequalities.
Based on abstract only; observational cohort cannot prove causation. Absolute excess cases for disparities not reported. Full methodology not verifiable.
low confidenceUse the 30.3% prevalence figure to communicate that nearly 1 in 3 adults in England has obesity, but avoid claiming causes.
Prevalence is based on BMI ≥30 or clinician diagnosis in EHR; first-recorded obesity may reflect new diagnosis/recording, not new biological onset.
low confidenceWhen interpreting trends, distinguish relative from absolute changes: the 4% rise is relative and equals about 1 extra case per 1000 person-years.
Absolute numbers for many subgroup disparities were not reported.
low confidenceWhy this study matters
A whole-population snapshot: 55 million adults
The study analysed anonymised electronic health records for 54,892,390 adults in England from Nov 2019 to Apr 2025. During that time, 4,131,555 people had a first presentation of obesity; 55.1% were women, 75.2% White, 11.7% Asian, and 7.1% Black.
This is not a sample—it's essentially every adult in England, giving an unprecedented view of obesity trends.
Overall rise is small but significant—and prevalence is already high
First-recorded obesity incidence was 22 per 1000 person-years and rose 4% relatively by 2024-25 vs 2019-20 (IRR 1.04, 95% CI 1.01–1.07), about 1 extra case per 1000 person-years. Prevalence rose from 26.3% to 30.3%—an absolute increase of 4.0 percentage points.
It shows obesity is common and slowly rising, not exploding, but the absolute burden is large.
Young adults are driving the relative increase
The steepest relative increases in first-recorded obesity were in ages 20–29 (IRR 1.16, 95% CI 1.08–1.25) and 30–39 (IRR 1.19, 95% CI 1.13–1.25). These are relative increases of 16% and 19%, not absolute case numbers.
Obesity is often framed as an older-adult issue, but the fastest relative growth is in people of childbearing age.
Inequalities are stark and widening
Incidence was 35% higher relatively in the most deprived vs least deprived quintile (IRR 1.35, 95% CI 1.28–1.42). Disparities were larger in women (IRR 1.54) and particularly Asian women (IRR 1.94, 95% CI 1.86–2.02). Absolute excess cases were not reported.
It highlights that obesity is not evenly distributed—socioeconomic and ethnic inequalities are central.
Where you live matters—a lot
Geographical prevalence varied from 8.5% to 48.1%, nearly a 6-fold difference. The lowest group was least deprived White men aged 18–19 (4.3%); the highest was most deprived Black women aged 60–69 (66.1%).
Your postcode and demographics are strongly linked to obesity prevalence.
Prevention and intergenerational risk
The authors conclude obesity is 'preventable' and that rising rates in childbearing-age adults risk 'perpetuating intergenerational cycles of health inequality.'
It frames obesity as a solvable public health issue with long-term consequences.
Want the whole report?
Detailed mode opens the full scientific breakdown — every score component, the methodology, conflicts of interest, the evidence analysis behind each claim, and the raw study data.
Overview
What the study found
The study in plain English — the bottom line, every takeaway we extracted, and what to do with them.
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Researchers looked at health records for nearly 55 million adults in England from 2019 to 2025 to see how many people were newly recorded as obese and how many had obesity overall. They found that obesity is common and rising slightly, with bigger increases in younger adults and much higher rates in poorer groups and some ethnic groups.
Research results
About 22 out of every 1,000 adults were newly recorded as obese each year. The rate was 4% higher relatively by the end of the study compared with the start (IRR 1.04), which is about 1 extra new case per 1,000 adults per year. Overall, 30.3% of adults had obesity by 2025, up from 26.3% in 2019—an absolute increase of 4.0 percentage points. The poorest group had a 35% higher relative incidence than the least poor group (IRR 1.35); the absolute extra number of cases was not reported. The relative increase was 16% in adults aged 20-29 and 19% in those aged 30-39.
What this means - more context
For every 1,000 adults, about 22 were newly recorded with obesity each year, and the 4% relative rise means about 1 extra new case per 1,000 adults per year by the end. Overall, about 30 in 100 adults had obesity by 2025, compared with about 26 in 100 in 2019—a 4 percentage point absolute increase. The poorest groups had a 35% higher relative incidence, but the study did not report the absolute extra number of cases for that disparity. The data show clear inequalities but cannot prove what caused them.
To investigate trends in the incidence and prevalence of obesity among adults in England from 2019 to 2025, and to examine variation by age, sex, socioeconomic status, ethnicity, and geographical region.
In a whole-population retrospective cohort of 54,892,390 adults in England, age- and sex-standardised incidence of first-recorded obesity was 22 per 1000 person-years and was 4% higher relatively by 2024-25 vs 2019-20 (IRR 1.04, 95% CI 1.01-1.07; absolute difference about 0.9 extra cases per 1000 person-years, roughly 1 extra case per 1000 person-years). Obesity prevalence rose from 26.3% to 30.3% (absolute increase 4.0 percentage points). Relative incidence was 35% higher in the most deprived vs least deprived quintile (IRR 1.35, 95% CI 1.28-1.42), with larger relative disparities in women (IRR 1.54) and Asian women (IRR 1.94); absolute excess cases for these disparities were not reported. Steepest relative increases were in ages 20-29 (IRR 1.16) and 30-39 (IRR 1.19).
Methods Used
Retrospective, longitudinal cohort study using whole-population, individual-level, anonymised electronic health records from the NHS England Secure Data Environment for all adults aged 18-99 years in England, Nov 1, 2019 to Apr 30, 2025. Obesity defined as BMI >=30.0 kg/m2 or clinician-assigned diagnosis. Age- and sex-standardised incidence and prevalence estimated; negative binomial regression used to examine trends by age, sex, socioeconomic status, ethnicity, and geographical region (middle layer super output areas).
Main Finding
First-recorded obesity incidence was 22 per 1000 person-years (95% CI 22-22) and increased by 4% relatively over the study period (IRR 2024-25 vs 2019-20 1.04, 95% CI 1.01-1.07), corresponding to roughly 0.9 extra cases per 1000 person-years (about 1 extra case per 1000 person-years). Prevalence reached 30.3% by 2025, up from 26.3% at the start (absolute increase 4.0 percentage points). Relative incidence was 35% higher in the most deprived vs least deprived quintile (IRR 1.35, 95% CI 1.28-1.42), with larger relative disparities in women (IRR 1.54) and Asian women (IRR 1.94); absolute excess cases for disparities were not reported. Steepest relative increases were in ages 20-29 (IRR 1.16) and 30-39 (IRR 1.19).
Confidence Level
Limited - based on abstract only, full methodology not available
Study Flags
Red Flags
- •Full text not available - methodology details cannot be verified
- •Abstract only; cannot verify data validation, missing data handling, or model adjustment
- •Observational cohort cannot establish causation
No biological mechanisms were identified in this study. This may be an epidemiological, observational, or survey-based study that reports associations rather than proposing causal biological pathways.
Surprising Findings
Geographical disparities were striking, with obesity prevalence varying nearly 6-fold across areas (8.5% to 48.1%).
The abstract explicitly calls these disparities 'striking,' suggesting they exceeded typical expectations for regional variation.
Practical Takeaways
Public health efforts should target young adults (20–39) and the most deprived groups, including Asian women, to address widening inequalities.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 547 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study looked at health records for almost everyone in England to see how common obesity was and how it changed over time. Because it just observed people without changing anything, it can show us patterns and links—like obesity being more common in some groups—but it can't prove what causes obesity. Think of it like watching traffic: you can see which roads are busy, but you can't prove why people chose those roads.
The study has a COI section but no disclosure was found. A small penalty has been applied.
Strengths
- Whole-population, individual-level electronic health records (54,892,390 adults).
- Longitudinal design spanning 2019-2025.
- Age- and sex-standardised incidence and prevalence estimates.
Weaknesses
- Observational cohort design cannot establish causation.
- Full methodology not available - based on abstract only.
- Blinding status unknown.
Methodology
Evidence Keywords
Statistical Reporting
Not medical advice. For informational purposes only. Always consult a healthcare professional. Terms
Researchers looked at health records for nearly 55 million adults in England from 2019 to 2025 to see how many people were newly recorded as obese and how many had obesity overall. They found that obesity is common and rising slightly, with bigger increases in younger adults and much higher rates in poorer groups and some ethnic groups.
Research results
About 22 out of every 1,000 adults were newly recorded as obese each year. The rate was 4% higher relatively by the end of the study compared with the start (IRR 1.04), which is about 1 extra new case per 1,000 adults per year. Overall, 30.3% of adults had obesity by 2025, up from 26.3% in 2019—an absolute increase of 4.0 percentage points. The poorest group had a 35% higher relative incidence than the least poor group (IRR 1.35); the absolute extra number of cases was not reported. The relative increase was 16% in adults aged 20-29 and 19% in those aged 30-39.
What this means - more context
For every 1,000 adults, about 22 were newly recorded with obesity each year, and the 4% relative rise means about 1 extra new case per 1,000 adults per year by the end. Overall, about 30 in 100 adults had obesity by 2025, compared with about 26 in 100 in 2019—a 4 percentage point absolute increase. The poorest groups had a 35% higher relative incidence, but the study did not report the absolute extra number of cases for that disparity. The data show clear inequalities but cannot prove what caused them.
To investigate trends in the incidence and prevalence of obesity among adults in England from 2019 to 2025, and to examine variation by age, sex, socioeconomic status, ethnicity, and geographical region.
In a whole-population retrospective cohort of 54,892,390 adults in England, age- and sex-standardised incidence of first-recorded obesity was 22 per 1000 person-years and was 4% higher relatively by 2024-25 vs 2019-20 (IRR 1.04, 95% CI 1.01-1.07; absolute difference about 0.9 extra cases per 1000 person-years, roughly 1 extra case per 1000 person-years). Obesity prevalence rose from 26.3% to 30.3% (absolute increase 4.0 percentage points). Relative incidence was 35% higher in the most deprived vs least deprived quintile (IRR 1.35, 95% CI 1.28-1.42), with larger relative disparities in women (IRR 1.54) and Asian women (IRR 1.94); absolute excess cases for these disparities were not reported. Steepest relative increases were in ages 20-29 (IRR 1.16) and 30-39 (IRR 1.19).
Methods Used
Retrospective, longitudinal cohort study using whole-population, individual-level, anonymised electronic health records from the NHS England Secure Data Environment for all adults aged 18-99 years in England, Nov 1, 2019 to Apr 30, 2025. Obesity defined as BMI >=30.0 kg/m2 or clinician-assigned diagnosis. Age- and sex-standardised incidence and prevalence estimated; negative binomial regression used to examine trends by age, sex, socioeconomic status, ethnicity, and geographical region (middle layer super output areas).
Main Finding
First-recorded obesity incidence was 22 per 1000 person-years (95% CI 22-22) and increased by 4% relatively over the study period (IRR 2024-25 vs 2019-20 1.04, 95% CI 1.01-1.07), corresponding to roughly 0.9 extra cases per 1000 person-years (about 1 extra case per 1000 person-years). Prevalence reached 30.3% by 2025, up from 26.3% at the start (absolute increase 4.0 percentage points). Relative incidence was 35% higher in the most deprived vs least deprived quintile (IRR 1.35, 95% CI 1.28-1.42), with larger relative disparities in women (IRR 1.54) and Asian women (IRR 1.94); absolute excess cases for disparities were not reported. Steepest relative increases were in ages 20-29 (IRR 1.16) and 30-39 (IRR 1.19).
Confidence Level
Limited - based on abstract only, full methodology not available
Study Flags
Red Flags
- •Full text not available - methodology details cannot be verified
- •Abstract only; cannot verify data validation, missing data handling, or model adjustment
- •Observational cohort cannot establish causation
No biological mechanisms were identified in this study. This may be an epidemiological, observational, or survey-based study that reports associations rather than proposing causal biological pathways.
Surprising Findings
Geographical disparities were striking, with obesity prevalence varying nearly 6-fold across areas (8.5% to 48.1%).
The abstract explicitly calls these disparities 'striking,' suggesting they exceeded typical expectations for regional variation.
Practical Takeaways
Public health efforts should target young adults (20–39) and the most deprived groups, including Asian women, to address widening inequalities.
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 547 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
Human Cohort Study
Subject
Moderate probability
on the GRADE evidence scale
This study looked at health records for almost everyone in England to see how common obesity was and how it changed over time. Because it just observed people without changing anything, it can show us patterns and links—like obesity being more common in some groups—but it can't prove what causes obesity. Think of it like watching traffic: you can see which roads are busy, but you can't prove why people chose those roads.
The study has a COI section but no disclosure was found. A small penalty has been applied.
Strengths
- Whole-population, individual-level electronic health records (54,892,390 adults).
- Longitudinal design spanning 2019-2025.
- Age- and sex-standardised incidence and prevalence estimates.
Weaknesses
- Observational cohort design cannot establish causation.
- Full methodology not available - based on abstract only.
- Blinding status unknown.
Methodology
Evidence Keywords
Statistical Reporting
Scoring
How strong is this study?
The study is huge—it includes over 54 million adults—and uses official health records, which makes its numbers about obesity trends pretty reliable for England. However, because it's based on records and we only have the summary, we can't check for all possible mistakes or missing information, so we should be careful about trusting every detail. It's like having a very large photo of a crowd: you can count people, but you might miss some who are hidden.
0 / 100
- COI disclosureconflicts of interest not disclosed
- Data availabilitydata not shared
- Code availabilitycode not shared
38 / 100
- Randomizationnot randomized
- Blindingblinding unclear
- Control groupno control group
- Sample size (n=54892390)+20/20
- Follow-up+10/10
100 / 100
54 / 100
- P-valuesno p-values reported
- Effect size+20/20
- Confidence intervals+15/15
- Pre-registrationnot pre-registered
Each component is scored out of 100 and then capped by the study design — a case series cannot reach the ceiling a randomised trial can, however well it is reported.
Where it sits
RCT reviewsReviews of RCTs (Meta-analyses)
Max 100Randomized TrialsRandomized Trials
Max 90Reviews of Cohort StudiesReviews of Cohort Studies
Max 85Cohort StudiesCohort Studies
Max 72Reviews of Case-Control StudiesReviews of Case-Control Studies
Max 63Case-Control StudiesCase-Control Studies
Max 58Cross-Sectional & Case SeriesCross-Sectional & Case Series
Max 50Expert OpinionExpert Opinion
Max 547 / 100
Probability of being correct
Groups of people are followed over time to see who develops an outcome. Strong for identifying risk factors and associations, but cannot prove causation as firmly as RCTs.
This design cannot establish causation — the findings describe an association, not a cause. Observational cohort design without randomization; cannot control for unmeasured confounding; temporal associations may be influenced by reverse causation or secular trends; no experimental manipulation; findings show associations and trends, not cause-effect.
No Conflicts
No conflicts of interest identified
No conflicts of interest identified. Study funded by non-commercial research organizations with no industry involvement.
Funders
No author list or competing interests section provided. Funding from non-commercial sources; no industry ties evident. The study uses national electronic health records, but independent analysis safeguards are not described.
Standing
The people behind it
The researchers who wrote the study this analysis is built on.
Authored by
17 researchersIf this is your work, this is how we attribute it on Fit Body Science. Robert A. Fletcher is listed as the lead author.