| Title: | Longitudinal Changes in Fat Mass and the Hippocampus |
| Journal: | Obesity |
| Published: | 19 May 2020 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/32427420/ |
| DOI: | https://doi.org/10.1002/oby.22819 |
| URL: | https://ueaeprints.uea.ac.uk/id/eprint/75922/1/Accepted_Manuscript.pdf |
Publication 2484
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Abstract
OBJECTIVE: This study aimed to investigate cross-sectional and longitudinal associations between fat mass (i.e., body mass index [BMI], waist circumference [WC], and waist to hip ratio [WTHR]) and hippocampal volumes.</p>
METHODS: UK Biobank participants (N = 20,395) aged 40 to 70 years (mean follow-up = 7.66 years), were included and categorized into one of four groups, which represented their baseline fat mass status and trajectory of change by follow-up assessment: normal weight to overweight/obesity, overweight/obesity to normal weight (ON), normal weight stable (NS), or overweight/obesity stable (OS). Regression models used NS (WC < 80 cm in women and < 94 cm in men; WTHR < 0.85 in women and < 0.90 in men; BMI < 25 kg/m2 in women and men) as the reference group. Hippocampal volumes were automatically segmented using the FMRIB Software Library.</p>
RESULTS: Compared with NS, OS (BMI: B = -62.23 [SE = 16.76]; WC: B = -145.56 [SE = 16.97]; WTHR: B = -101.26 [SE = 19.54]) and ON (BMI: B = -61.1 [SE = 30.3]; WC: B = -93.77 [SE = 24.96]; WTHR: B = -69.92 [SE = 26.22]) had significantly lower hippocampal volumes.</p>
CONCLUSIONS: The detrimental effects of overweight/obesity may extend beyond the duration of overweight/obesity itself.</p>
19 Keywords
- Adipose Tissue
- Adiposity
- Adult
- Aged
- Body Mass Index
- Cross-Sectional Studies
- Female
- Hippocampus
- Humans
- Ideal Body Weight
- Longitudinal Studies
- Male
- Middle Aged
- Obesity
- Organ Size
- Overweight
- United Kingdom
- Waist Circumference
- Waist-Hip Ratio
5 Authors
- Ananthan Ambikairajah
- Hossein Tabatabaei-Jafari
- Erin Walsh
- Michael Hornberger
- Nicolas Cherbuin
1 Application
| Application ID | Title |
|---|---|
| 47813 | Towards a comprehensive predictive model of the contribution of individual and combination of risk factors to brain ageing, neurodegeneration, and cognitive decline. |
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