Organizational and Geographic Nursing Home Characteristics Associated With Increasing Prevalence of Resident Obesity in the United States

Harris, John A.; Engberg, John; Castle, Nicholas G.

doi:10.1177/0733464819843045

Cited by 2 publications

(6 citation statements)

References 27 publications

(34 reference statements)

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“…The aim of this study was to describe obesity and associated care relevant factors of obesity amongst nursing home residents in three European countries. The median BMI in our sample in all three countries can be categorised as “normal weight”, which reaches up to 25 kg/m 2 , and the proportion of obese residents was relatively low in the examined countries, compared to obesity rates in American nursing homes, which are over 30% (Harris et al, 2020).…”

Section: Discussionmentioning

confidence: 68%

“…The few existing studies show that there is a significant association between obesity in older adults and increasing inability to perform activities that are essential to independent living (The GBD 2015Obesity Collaborators, 2017. This activity limitation requires assistance from caregivers in nursing home setting (Harris et al, 2018(Harris et al, , 2020. Harris et al (2020) elected that as body mass index (BMI) increases, more care is needed in the form of extra staff and equipment to provide support with almost all investigated activities of daily living.…”

Section: How Could the Findings Be Used To Influence Policy Or Practi...mentioning

confidence: 99%

“…This activity limitation requires assistance from caregivers in nursing home setting (Harris et al, 2018(Harris et al, , 2020. Harris et al (2020) elected that as body mass index (BMI) increases, more care is needed in the form of extra staff and equipment to provide support with almost all investigated activities of daily living. Nevertheless, more insight into the care needs of older people with obesity in nursing homes is needed to enable precise planning of care, targeted action related to obesity, and to support independence amongst residents (Großschädl & Stronegger, 2019).…”

Section: How Could the Findings Be Used To Influence Policy Or Practi...mentioning

confidence: 99%

“…The prevalence of obesity is increasing amongst nursing home residents (Cai et al, 2013;Harris et al, 2020). Harris et al (2020) reported a mean obesity prevalence rate in nursing homes in the United States of 31.1% (standard deviation 8.8). The increase in obesity prevalence could have a significant impact on the care Conclusions: This study identified several factors that are associated with obesity amongst older nursing home residents in selected European countries.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Obesity and its associated factors in older nursing home residents in three European countries—Secondary data analyses from the “International Prevalence Measurement of Care Quality”

Großschädl

Schoberer

Eglseer

et al. 2023

Int J Older People Nursing

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Background:The prevalence of obesity has risen in recent decades and reached epidemic proportions worldwide. The proportion of those living with obesity is also increasing in nursing homes. This could impact the nursing care required, equipment and facilities provided, and morbidity in these settings. Limited evidence exists on clinical consequences of obesity in nursing home residents and their care.Objective: Therefore, the aim was to examine the rate and associated factors of obesity (BMI ≥30; class I (BMI 30.0-34.9 kg/m 2 ), class II (BMI 35.0-39.9 kg/m 2 ), and class III (BMI >40.0 kg/m 2 )) amongst older nursing home residents in European countries. Methods:We analysed data from 21,836 people who reside in nursing homes in Austria, the Netherlands, and the United Kingdom. They participated in the "International Prevalence Measurement of Care Quality", a cross sectional study between 2016 and 2019, where trained nurses interviewed the residents, reviewed care records, and conducted clinical examinations. A tested and standardised questionnaire comprised questions on demographic data, measured BMI, medical diagnosis according to ICD-10, and care dependency. Descriptive and logistic regression analyses were performed. Results:Obesity rates were highest in Austria (17.1%) and lowest in the UK (13.0%) (p = .006). Residents with obesity were younger and less likely to be care dependent or living with dementia and had more often diabetes mellitus, endocrine, metabolic, and skin diseases compared to residents without obesity (p < .05). Most obese residents had obesity class I. Therefore, two subgroups were built (class I vs. class II + III). Residents with obesity class II + III were more frequently care dependent for mobility, getting dressed and undressed, and personal hygiene compared to residents with class I (p < .05).

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Section: Discussionmentioning

confidence: 68%

Section: How Could the Findings Be Used To Influence Policy Or Practi...mentioning

confidence: 99%

Section: How Could the Findings Be Used To Influence Policy Or Practi...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Obesity and its associated factors in older nursing home residents in three European countries—Secondary data analyses from the “International Prevalence Measurement of Care Quality”

Großschädl

Schoberer

Eglseer

et al. 2023

Int J Older People Nursing

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Obesity in European nursing homes participating in nutritionDay 2016–2021—Prevalence and resident characteristics

Galicia Ernst,

Worf,

Tarantino

et al. 2024

Clinical Obesity

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SummaryThe objective of this study is to assess obesity prevalence and characterize European nursing home (NH) residents with obesity comprehensively. Cross‐sectional nutritionDay data from 2016 to 2021. Descriptive characterization of European NH residents ≥65 years with and without obesity. Binomial logistic regression to identify factors associated with obesity. A total of 11 327 residents (73.8% female, 86.4 ± 7.9 years, mean body mass index 25.3 ± 5.4 kg/m2) from 12 countries were analysed. Obesity prevalence was 17.7%, mostly class I (13.0%). Taking ≥5 drugs/day (OR 1.633; 95% confidence intervals 1.358–1.972), female sex (1.591; 1.385–1.832), being bed/chair‐bound (1.357; 1.146–1.606), and having heart/circulation/lung disease (1.276; 1.124–1.448) was associated with increased obesity risk, older age (0.951; 0.944–0.958), mild (0.696; 0.601–0.805) and severe (0.591; 0.488–0.715) dementia, eating less than ¾ of lunch on nutritionDay (0.669; 0.563–0.793), needing assistance for eating (0.686; 0.569–0.825), and being identified by NH staff at risk for (0.312; 0.255–0.380) or with malnutrition (0.392; 0.236–0.619) decreased obesity risk. Almost one in five residents in European NH participating in nutritionDay is affected by obesity. Through a wide exploratory analysis, including data from 12 European countries, we confirmed previous findings and identified additional factors associated with obesity that should be considered in the daily care of affected residents.

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Organizational and Geographic Nursing Home Characteristics Associated With Increasing Prevalence of Resident Obesity in the United States

Cited by 2 publications

References 27 publications

Obesity and its associated factors in older nursing home residents in three European countries—Secondary data analyses from the “International Prevalence Measurement of Care Quality”

Obesity and its associated factors in older nursing home residents in three European countries—Secondary data analyses from the “International Prevalence Measurement of Care Quality”

Obesity in European nursing homes participating in nutritionDay 2016–2021—Prevalence and resident characteristics

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