Prevalence of Obesity Among Adults From Rural and Urban Areas of the United States: Findings From NHANES (2005‐2008)
Open accessAbstract
Purpose: Rural residents have higher rates of chronic diseases compared to their urban counterparts, and obesity may be a major contributor to this disparity. This study is the first analysis of obesity prevalence in rural and urban adults using body mass index classification with measured height and weight. In addition, demographic, diet, and physical activity correlates of obesity across rural and urban residence are examined. Methods: Analysis of body mass index (BMI), diet, and physical activity from 7,325 urban and 1,490 rural adults in the 2005‐2008 National Health and Nutrition Examination Survey (NHANES). Findings: The obesity prevalence was 39.6% (SE = 1.5) among rural adults compared to 33.4% (SE = 1.1) among urban adults (P= .006). Prevalence of obesity remained significantly higher among rural compared to urban adults controlling for demographic, diet, and physical activity variables (odds ratio = 1.18, P= .03). Race/ethnicity and percent kcal from fat were significant correlates of obesity among both rural and urban adults. Being married was associated with obesity only among rural residents, whereas older age, less education, and being inactive was associated with obesity only among urban residents. Conclusions: Obesity is markedly higher among adults from rural versus urban areas of the United States, with estimates that are much higher than the rates suggested by studies with self‐reported data. Obesity deserves greater attention in rural America.
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Claims the paper makes
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- Findingown data
Among non-Hispanic White adults, obesity prevalence was higher in rural than urban participants (38.4% vs 32.1%, P = .02).
“Obesity prevalence was higher for rural non-Hispanic Whites (38.4% [SE = 1.6]) compared to urban non-Hispanic Whites (32.1% [SE = 1.6]; P = .02)”
Quote in the paperSubstantial claim - Findingown data
Among active participants, obesity prevalence was higher in rural than urban residents (36.3% vs 25.5%, P = .03).
“Among participants who were active, obesity prevalence was higher among rural compared to urban residents (36.3% [SE = 4.5] and 25.5% [SE = 1.6], respectively; P = .03).”
Quote in the paperNot a substantial claim - Findingown data
Among men, the rural-urban difference in obesity prevalence approached significance (37.8% vs 31.6%, P = .08).
“and approached significance for men (37.8% [SE = 2.8] and 31.6% [SE = 1.4], respectively; P = .08).”
Quote in the paperNot a substantial claim - Findingown data
The interaction between rural-urban residence and age categories was significant (P = .02).
“When including interaction terms in the model, the interaction between rural-urban residence and age categories was significant (P = .02).”
Quote in the paperSubstantial claim - Findingown data
The percentage of rural and urban participants meeting physical activity recommendations was not significantly different.
“The percentage of rural and urban participants meeting physical activity recommendations was not significantly different”
Quote in the paperNot a substantial claim
- Findingown data
Older age, less education, and being inactive were associated with obesity only among urban residents.
“whereas older age, less education, and being inactive was associated with obesity only among urban residents.”
Quote in the paperSubstantial claim - Findingown data
Rural residence remained a significant determinant of obesity controlling for sociodemographic, physical activity, and diet variables (OR = 1.18, 95% CI = 1.01-1.38; P = .03).
“Rural residence remained a significant determinant of obesity controlling for sociodemographic, physical activity, and diet variables (odds ratio = 1.18 [95% CI = 1.01–1.38]; P = .03).”
- Also stated in: § Findings · plain
“Prevalence of obesity remained significantly higher among rural compared to urban adults controlling for demographic, diet, and physical activity variables (odds ratio = 1.18, P = .03).”
Quote in the paperSubstantial claim - Also stated in: § Findings · plain
- Findingown data
Race/ethnicity was a significant correlate of obesity among both rural and urban adults.
“Race/ethnicity and percent kcal from fat were significant correlates of obesity among both rural and urban adults.”
Quote in the paperSubstantial claim - Findingown data
Rural participants reported a higher percent kcal from fat than urban participants (P = .02).
“In addition, rural participants reported a higher percent kcal from fat compared to urban participants (P = .02).”
Quote in the paperNot a substantial claim - Findingown data
Being married was associated with obesity only among rural residents.
“Being married was associated with obesity only among rural residents”
Quote in the paperNot a substantial claim - Findingown data
Percent kcal from fat was a significant correlate of obesity among both rural and urban adults.
“Race/ethnicity and percent kcal from fat were significant correlates of obesity among both rural and urban adults.”
Quote in the paperNot a substantial claim - Findingown data
Among non-Hispanic Black adults, obesity prevalence was higher in rural than urban participants (55.6% vs 43.2%, P = .03).
“and for rural non-Hispanic Blacks (55.6% [SE = 2.8]) compared to urban non-Hispanic Blacks (43.2% [SE = 1.4]; P = .03).”
Quote in the paperNot a substantial claim - Findingown data
Among women, obesity prevalence was higher in rural than urban participants (41.3% vs 35.1%, P = .003).
“The rural-urban difference in obesity prevalence was significant among women (41.3% [SE = 1.5] and 35.1% [SE = 1.2], respectively; P = .003)”
Quote in the paperSubstantial claim - Premisecitation
Self-reported height and weight underestimates obesity prevalence.
“both the BRFSS and NHIS rely on self-reported height and weight, which underestimates obesity prevalence7”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] source
Not checked in the free run.
- Premisecitation
Prior BRFSS and NHIS data showed higher obesity prevalence in rural compared to urban counties.
“Data from the 2000–2001 Behavior Risk Factor Surveillance System (BRFSS)5 and the 1997–1998 National Health Interview Survey (NHIS)6 revealed higher obesity prevalence in rural compared to urban counties.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Rural residents traditionally consumed high fat, high calorie diets that were offset to some extent by high caloric expenditure during vigorous physical labor.
“Rural residents traditionally have consumed high fat, high calorie diets that were offset to some extent by high caloric expenditure during vigorous physical labor necessary for farming, logging, and other activities.24,25”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [24] source
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- cites [25]
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- Study design and conductown data
The rural sample size was not large enough for rural-urban comparison across racial/ethnic groups other than non-Hispanic White and non-Hispanic Black.
“The rural sample size was not large enough for rural-urban comparison across racial/ethnic groups other than non-Hispanic White and non-Hispanic Black.”
Quote in the paperNot a substantial claim - Interpretationown data
The rural-urban difference in obesity prevalence observed with measured height and weight was larger than previously reported using self-reported data from NHIS and BRFSS.
“Although a significant rural-urban difference in obesity prevalence has been previously reported using self-reported data from NHIS 1997–1998 and BRFSS 2000–2001 (20–23% and 18–20% for rural and urban, respectively),5,6 the difference in percentage points we observed with measured height and weight was larger (39.6% versus 33.4% for rural and urban, respectively).”
Quote in the paperSubstantial claim0 of 2 sources checked- Rests on an assumption: Self-reported height and weight may influence the degree to which obesity rates differ across rural and urban settings.
- May combine two claims. 16
- Classified as probably not a substantial claim. 11
May combine two claims.
Findingown dataUsing BMI ≥ 25 kg/m2, 70.8% of rural residents were overweight/obese compared to 67.1% of urban residents, a non-significant difference (P = .09).
“Using BMI ≥ 25 kg/m2 as the cut point, 70.8% (SE = 1.9) of rural residents were overweight/obese, compared to 67.1% (SE = 1.0) of urban residents (P = .09).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the weighted sample, 80.3% were urban residents and 19.7% were rural residents.
“In the weighted sample, 80.3% (SE = 3.7) were urban residents and 19.7% (SE = 3.7) were rural residents.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataRural participants were more likely than urban participants to be older, married, White non-Hispanic, and to report lower income.
“Compared to urban participants, rural participants were more likely to be older, married, White non-Hispanic, and to report lower income (Table 1).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataDaily energy intake did not differ significantly between rural and urban participants.
“nor was daily energy intake.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataObesity prevalence was 39.6% among rural adults and 33.4% among urban adults, with rural prevalence significantly higher (P = .006).
“Obesity prevalence significantly differed across rural and urban participants with 39.6% (SE = 1.5) of rural participants being obese compared to 33.4% (SE = 1.1) of urban participants (P = .006).”
- Also stated in: § Findings · plain
“The obesity prevalence was 39.6% (SE = 1.5) among rural adults compared to 33.4% (SE = 1.1) among urban adults (P = .006).”
Quote in the paperSubstantial claim- Also stated in: § Findings · plain
May combine two claims.
Findingown dataThe rural-urban obesity difference was significant among adults age 20-39 but not for adults age 40-59 or 60-75.
“Rural adults age 20–39 had higher obesity prevalence than their urban counterparts (38.1% [SE = 3.8] and 27.9% [SE = 1.4], respectively; P = .002), but the rural-urban difference was not significant for adults age 40–59 or 60–75.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationRural residents have higher rates of chronic diseases and higher all-cause mortality than urban residents.
“Compared to their urban counterparts, rural residents experience higher rates of chronic diseases and higher prevalence of all-cause mortality.2–4”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [2]
Not checked in the free run.
- cites [3]
Not checked in the free run.
- cites [4] source
Not checked in the free run.
May combine two claims.
PremisecitationA recent direct comparison of NHANES, BRFSS, and NHIS physical activity data revealed different prevalence estimates ranging from 30% to 48%, making comparisons across studies difficult.
“However, a recent direct comparison of NHANES, BRFSS, and NHIS physical activity data revealed different prevalence estimates for physical activity across the different surveillance systems, ranging from 30% to 48%,23 making comparisons across studies difficult.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] source
Not checked in the free run.
May combine two claims.
Interpretationown dataPercent kcal from fat was one of the strongest determinants of obesity and is a likely contributor to the rural-urban obesity disparity.
“Percent kcal from fat was one of the strongest determinants of obesity and is a likely contributor to the rural-urban obesity disparity.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningIn rural environments with limited resources, education may have less impact on diet and physical activity behavior, whereas marital status may have greater impact.
“In a rural environment where resources for healthy eating and physical activity may be more limited, factors related to access to resources such as education may have less impact on diet and physical activity behavior, whereas marital status (and corresponding lifestyle surrounding family meals) may have greater impact.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationOlder age and heavier weight are associated with inaccurate reporting of height and weight.
“Rural populations are older8 and appear to be heavier, and both of these factors are associated with inaccurate reporting of height and weight.9,10”
Quote in the paperSubstantial claim0 of 2 sources checked- Rests on an assumption: Rural populations appear to be heavier than urban populations.
May combine two claims.
InterpretationreasoningMedical factors associated with higher co-morbid diseases among rural adults may play a causal role in their higher obesity prevalence, but the authors believe obesity is more likely driving rural-urban chronic disease disparities.
“Medical factors associated with higher co-morbid diseases among rural adults4 may also be playing a causal role in their higher obesity prevalence; however, we believe the reverse is more likely with obesity being one of the driving forces for rural-urban chronic disease disparities.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] source
Not checked in the free run.
- Rests on an assumption: Rural-urban differences in obesity may be a major contributor to geographic health disparities.
Classified as probably not a substantial claim.
PremisecitationNHANES uses a multistage, stratified, clustered probability design to assess a representative civilian, non-institutionalized US population.
“NHANES is conducted by the National Center for Health Statistics to assess the health and nutritional status of a representative civilian, non-institutionalized US population using a multistage, stratified, clustered probability design.12”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12]
Not checked in the free run.
May combine two claims.
InterpretationcitationObesity prevalence estimates from measured height and weight were dramatically higher than self-reported estimates and consistent with overall national obesity prevalence of 34% from NHANES 2007-2008.
“In addition, rates were dramatically higher compared to self-reported estimates and were consistent with overall national obesity prevalence of 34% from NHANES 2007–2008.17”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17] source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataMultiple logistic regression controlled for demographic, diet, and physical activity variables to examine rural-urban residence as a determinant of obesity.
“Controlling for demographic, diet and physical activity variables, multiple logistic regression was used to examine rural-urban residence as a determinant of obesity.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningYounger adults in rural areas may be more susceptible to weight gain due to changes in the environment over the past 30 years.
“Younger adults in rural areas may be more susceptible to weight gain due to changes in the environment over the past 30 years.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn prior studies, rural adults were less likely to meet physical activity recommendations than urban adults.
“In contrast, the 1998 NHIS6 and 2 national physical activity surveys conducted in the late 1990s based on modified BRFSS physical activity items21,22 showed rural adults were less likely to meet physical activity recommendations than urban adults.”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationThe only published analysis of objectively measured rural and urban obesity prevalence is over 3 decades old and used an outdated weight classification.
“The only published analysis of objectively measured rural and urban obesity prevalence is over 3 decades old (NHANES II, 1976–1980) and used an outdated weight classification based on percentile scores.11”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenHeight and weight were collected in a mobile examination center using standardized protocols.
“Height and weight were collected in a mobile examination center using standardized protocols.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAnalyses used combined sample weights for 2005-2006 and 2007-2008 to provide nationally representative results.
“All analyses were performed using the combined sample weights for 2005–2006 and 2007–2008 to provide nationally representative results.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenNHANES 2005-2008 received ethics approval and written informed consent was obtained.
“NHANES 2005–2008 received approval from the National Center for Health Statistics research ethics review board. Written informed consent was obtained.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningIncreased mechanization of rural occupations has reduced caloric expenditure, which may impact younger working adults most.
“Increased mechanization of rural occupations has reduced these levels of caloric expenditure, which may impact the younger working adults the most.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe response rate including interview and examination completion across 2005-2008 was 71%.
“The response rate including completion of interview and examination across years was 71%.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenBy collapsing across 2 NHANES survey years, estimates were stable for the subgroup comparisons conducted.
“The sample size was larger for urban participants; however, by collapsing across 2 NHANES survey years, estimates were stable for the subgroup comparisons conducted.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenNHANES is cross-sectional, and diet and physical activity measures do not necessarily represent usual patterns over time that led to weight status.
“NHANES is a cross-sectional survey, and diet and physical activity measures do not necessarily represent usual patterns over time that led to the individual’s weight status at the time of the survey.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Rural-urban differences in obesity may be a major contributor to geographic health disparities.
“Rural-urban differences in obesity may be a major contributor to these geographic health disparities.”
The paper relies on this without support.
Self-reported height and weight may influence the degree to which obesity rates differ across rural and urban settings.
“which underestimates obesity prevalence7 and may influence the degree to which obesity rates differ across rural and urban settings.”
The paper relies on this without support.
Rural populations appear to be heavier than urban populations.
“Rural populations are older8 and appear to be heavier”
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- Authors
- Befort, C. A., Nazir, N., & Perri, M. G.
- Affiliations
- University of Kansas Medical Center (US)
- University of Florida Health (US)
- Corresponding author
- Befort, Christie A.
- Venue
- The Journal of Rural Health
- Publisher
- Wiley
- Published
- 2012-05-31
- Volume
- 28
- Issue
- 4
- Pages
- 392-397
- ISSN
- 0890-765X (ISSN-L)
- 1748-0361
- PMC
- PMC3481194
- OpenAlex
- W2126842485
- Cited by
- 578
- References
- 26
- Citations by year
- 2026: 18 · 2025: 26 · 2024: 26 · 2023: 33 · 2022: 39 · 2021: 39 · 2020: 51 · 2019: 71 · 2018: 59 · 2017: 60 · 2016: 54 · 2015: 45 · 2014: 38 · 2013: 17 · 2012: 2
- FWCI
- 31.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Journal of Rural Health (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (UL1TR000064, NIH K12)
- National Institute on Aging (P30AG028740)
- National Center for Advancing Translational Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (K12HD052027)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Health Professions › Pharmacy › Obesity and Health Practices
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Keywords
- obesity prevalence, urban-rural differences, rural health, body mass index, diet, physical activity, race and ethnicity, marital status, educational attainment, dietary fat intake
- MeSH terms
- Adult, Aged, Diet Surveys, Female, Humans, Male, Middle Aged, Motor Activity, Nutrition Surveys, Obesity, Rural Population, Socioeconomic Factors, United States, Urban Population, Body Mass Index, Prevalence, Health Status Disparities, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-09-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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