Abstract
The positive association between obesity and depressive mood in young- and middle-age individuals is a phenomenon with major clinical implications in public health. Interestingly, the trend of this association in older individuals is not clear, given the conflicting results of multiple studies. Since aging is accompanied by changes in body fat distribution, we questioned whether age is a modulator of such association. This study explores the role of age in the association between mood and general (body mass index [BMI]) and abdominal adiposity (waist circumference [WC]) in older adults characterizing the different abdominal adipose tissue compartments (subcutaneous adipose tissue [SAT] and visceral adipose tissue [VAT]) with magnetic resonance imaging (MRI) techniques. Methods: One hundred twenty aged community-dwelling individuals (≥50 y of age) were assessed regarding depressive mood (Geriatric Depression Scale) and adiposity (BMI and WC). From these, 96 were assessed for SAT and VAT using MRI. Results: Using multiple linear regression models, depressive mood was positively associated with BMI, WC, and VAT. Age was a significant moderator of the association between depressive mood and BMI, WC, and SAT: positive in younger participants and null or negative in older participants. On the other hand, higher VAT was significantly associated with a more depressive mood, independently of age. Conclusions: This study identifies age as a relevant moderator in the association between depressive mood and adiposity in the elderlies. Furthermore, the body fat compartment analysis revealed that the effect of age is specific for the SAT, suggesting its protective role in depressive mood.
| Original language | English |
|---|---|
| Pages (from-to) | 113-121 |
| Number of pages | 9 |
| Journal | International Journal of Geriatric Psychiatry |
| Volume | 35 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2020 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2019 John Wiley & Sons, Ltd.
Funding
This work was funded by the European Commission (FP7): “SwitchBox” (contract HEALTH‐F2‐2010‐259772), and co‐financed by project NORTE‐01‐0145‐FEDER‐000013, supported by the Northern Portugal Regional Operational Programme (NORTE 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (FEDER), by the Fundação Calouste Gulbenkian (Portugal) (contract grant number: P‐139977; project “Better mental health during ageing based on temporal prediction of individual brain ageing trajectories (TEMPO)”), and by the Portuguese Foundation for Science and Technology (FCT) under the project PTDC/DTP‐PIC/6936/2014. C.P.N. was supported by the Portuguese Science Foundation (FCT) doctoral scholarship PD/BD/106050/2015 via Inter‐University PhD Programme in Ageing and Chronic Diseases. T.C.C. was a recipient of a doctoral fellowship from the Portuguese Foundation for Science and Technology (FCT; SFRH/BD/90078/2012). P.S.M. was supported by the FCT fellowship grant with the reference PDE/BDE/113601/2015 from the PhDiHES program. P.M. was supported by the Fundação Calouste Gulbenkian (Portugal) grant number: P‐139977: “Better mental health during ageing based on temporal prediction of individual brain ageing trajectories (TEMPO).” R.M. was supported by the FCT fellowship grant with the reference PDE/BDE/113604/2015 from the PhDiHES program. N.C.S. was a recipient of a Research Assistantship by the through the FCT Investigator Programme 200∞Ciência. This work was funded by the European Commission (FP7): ?SwitchBox? (contract HEALTH-F2-2010-259772), and co-financed by project NORTE-01-0145-FEDER-000013, supported by the Northern Portugal Regional Operational Programme (NORTE 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (FEDER), by the Funda??o Calouste Gulbenkian (Portugal) (contract grant number: P-139977; project ?Better mental health during ageing based on temporal prediction of individual brain ageing trajectories (TEMPO)?), and by the Portuguese Foundation for Science and Technology (FCT) under the project PTDC/DTP-PIC/6936/2014. C.P.N. was supported by the Portuguese Science Foundation (FCT) doctoral scholarship PD/BD/106050/2015 via Inter-University PhD Programme in Ageing and Chronic Diseases. T.C.C. was a recipient of a doctoral fellowship from the Portuguese Foundation for Science and Technology (FCT; SFRH/BD/90078/2012). P.S.M. was supported by the FCT fellowship grant with the reference PDE/BDE/113601/2015 from the PhDiHES program. P.M. was supported by the Funda??o Calouste Gulbenkian (Portugal) grant number: P-139977: ?Better mental health during ageing based on temporal prediction of individual brain ageing trajectories (TEMPO).? R.M. was supported by the FCT fellowship grant with the reference PDE/BDE/113604/2015 from the PhDiHES program. N.C.S. was a recipient of a Research Assistantship by the through the FCT Investigator Programme 200?Ci?ncia.
| Funders | Funder number |
|---|---|
| NORTE | |
| Northern Portugal Regional Operational Programme | |
| Seventh Framework Programme | HEALTH‐F2‐2010‐259772 |
| European Commission | |
| Fundação para a Ciência e a Tecnologia | PTDC/DTP‐PIC/6936/2014, PD/BD/106050/2015, PDE/BDE/113604/2015, PDE/BDE/113601/2015, SFRH/BD/90078/2012 |
| Seventh Framework Programme | NORTE-01-0145-FEDER-000013, HEALTH-F2-2010-259772 |
| Calouste Gulbenkian Foundation | P‐139977 |
| European Regional Development Fund | P-139977 |
Keywords
- age
- magnetic resonance
- mood disorders
- subcutaneous adipose tissue
- visceral fat
