Cited by 578Obesity, Physical Activity, DietObesity and Health PracticesNutrition, Health and Food Behavior

Prevalence of Obesity Among Adults From Rural and Urban Areas of the United States: Findings From NHANES (2005‐2008)

Open access
Befort, Christie A., Nazir, Niaman, Perri, Michael G.·2012·The Journal of Rural Health

Abstract

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.

Integrity signals

Registry

Crossref · 10.1111/j.1748-0361.2012.00411.x

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 20 cited sources checked · 0 supported · 0 flagged

  • 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
  • May combine two claims. 16
  • Classified as probably not a substantial claim. 11
  • May combine two claims.

    Findingown data

    Using 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    Rural 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Daily energy intake did not differ significantly between rural and urban participants.

    “nor was daily energy intake.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Obesity 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
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Premisecitation

    Rural 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]

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  • May combine two claims.

    Premisecitation

    A 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

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  • May combine two claims.

    Interpretationown data

    Percent 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 claim
  • May combine two claims.

    Interpretationreasoning

    In 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 claim
  • May combine two claims.

    Premisecitation

    Older 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
    • cites [9] source

      Not checked in the free run.

    • cites [10] source

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    • Rests on an assumption: Rural populations appear to be heavier than urban populations.
  • May combine two claims.

    Interpretationreasoning

    Medical 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.

    Premisecitation

    NHANES 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.

    Interpretationcitation

    Obesity 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 data

    Multiple 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    Younger 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    In 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 checked
    • cites [6] source

      Not checked in the free run.

    • cites [21] source

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    • cites [22] source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    The 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 given

    Height 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 claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    Analyses 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    NHANES 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 claim
  • May combine two claims.

    Interpretationreasoning

    Increased 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    By 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    NHANES 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
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  • 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”
3 of 3

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. United States Census Bureau, 2008, Total population
  2. Eberhardt MS, 2001, Urban and Rural Health Chartbook. Health, United States, 2001
  3. Rogers C, 2002, The older population in 21st century rural America, Rural America., 17, 1

Cited by

Sorted by citations

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
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
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

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