Cargando…
Quantifying the effect of body mass index, age, and depression severity on 24-h activity patterns in persons with a lifetime history of affective disorders
BACKGROUND: Patients with affective disorders of different ages have been found to present weight changes and different circadian activity patterns. This study assessed the effects of age, Body Mass Index (BMI) and depression severity on the activity-rest cycle in persons with affective disorders us...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017039/ https://www.ncbi.nlm.nih.gov/pubmed/27612556 http://dx.doi.org/10.1186/s12888-016-1023-2 |
_version_ | 1782452669205446656 |
---|---|
author | Banihashemi, Nahid Robillard, Rébecca Yang, Jean Carpenter, Joanne S. Hermens, Daniel F. Naismith, Sharon L. Terpening, Zoe White, Django Scott, Elizabeth M. Hickie, Ian B. |
author_facet | Banihashemi, Nahid Robillard, Rébecca Yang, Jean Carpenter, Joanne S. Hermens, Daniel F. Naismith, Sharon L. Terpening, Zoe White, Django Scott, Elizabeth M. Hickie, Ian B. |
author_sort | Banihashemi, Nahid |
collection | PubMed |
description | BACKGROUND: Patients with affective disorders of different ages have been found to present weight changes and different circadian activity patterns. This study assessed the effects of age, Body Mass Index (BMI) and depression severity on the activity-rest cycle in persons with affective disorders using a novel multifactorial 24-h analysis method. METHODS: Two hundred and thirty-six participants aged between 14 and 85 years underwent 5 to 22 days of actigraphy monitoring (mean duration = 14 days). BMI was also recorded and symptom severity was assessed with the Hamilton Depression Rating Scale (HDRS). Participants were divided into two groups: healthy controls (n = 68) and participants with a lifetime diagnosis of affective disorders (n = 168). First, the multiple regression method was employed to formulate the circadian activity pattern in term of the factors age, BMI and HDRS. For each group, the functional linear analysis method was applied to assess the relative effects of the factors. Finally, Wald-tests were used to assess the contribution of each factor on the circadian activity pattern. RESULTS: In the affective disorders group, higher BMI was associated with higher activity levels from 3 am until 5.30 am and with lower activity levels from 10 am until 10.30 pm. Older age was associated with less activity across the day, evening, and night - from 11 am until 5.30 am. Higher HDRS scores were associated with higher activity around 1:30 am. In healthy controls, the effects of BMI and age on activity patterns were less pronounced and affected a narrower portion of the 24-h period. CONCLUSION: These findings suggest that older age and higher BMI are linked to lower daytime activity levels. Higher BMI and worse symptom severity were also associated with nocturnal activity patterns suggestive of sleep disturbances. The influence of age and BMI on 24-h activity profiles appear to be especially pronounced in people with affective disorders. |
format | Online Article Text |
id | pubmed-5017039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50170392016-09-10 Quantifying the effect of body mass index, age, and depression severity on 24-h activity patterns in persons with a lifetime history of affective disorders Banihashemi, Nahid Robillard, Rébecca Yang, Jean Carpenter, Joanne S. Hermens, Daniel F. Naismith, Sharon L. Terpening, Zoe White, Django Scott, Elizabeth M. Hickie, Ian B. BMC Psychiatry Research Article BACKGROUND: Patients with affective disorders of different ages have been found to present weight changes and different circadian activity patterns. This study assessed the effects of age, Body Mass Index (BMI) and depression severity on the activity-rest cycle in persons with affective disorders using a novel multifactorial 24-h analysis method. METHODS: Two hundred and thirty-six participants aged between 14 and 85 years underwent 5 to 22 days of actigraphy monitoring (mean duration = 14 days). BMI was also recorded and symptom severity was assessed with the Hamilton Depression Rating Scale (HDRS). Participants were divided into two groups: healthy controls (n = 68) and participants with a lifetime diagnosis of affective disorders (n = 168). First, the multiple regression method was employed to formulate the circadian activity pattern in term of the factors age, BMI and HDRS. For each group, the functional linear analysis method was applied to assess the relative effects of the factors. Finally, Wald-tests were used to assess the contribution of each factor on the circadian activity pattern. RESULTS: In the affective disorders group, higher BMI was associated with higher activity levels from 3 am until 5.30 am and with lower activity levels from 10 am until 10.30 pm. Older age was associated with less activity across the day, evening, and night - from 11 am until 5.30 am. Higher HDRS scores were associated with higher activity around 1:30 am. In healthy controls, the effects of BMI and age on activity patterns were less pronounced and affected a narrower portion of the 24-h period. CONCLUSION: These findings suggest that older age and higher BMI are linked to lower daytime activity levels. Higher BMI and worse symptom severity were also associated with nocturnal activity patterns suggestive of sleep disturbances. The influence of age and BMI on 24-h activity profiles appear to be especially pronounced in people with affective disorders. BioMed Central 2016-09-09 /pmc/articles/PMC5017039/ /pubmed/27612556 http://dx.doi.org/10.1186/s12888-016-1023-2 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Banihashemi, Nahid Robillard, Rébecca Yang, Jean Carpenter, Joanne S. Hermens, Daniel F. Naismith, Sharon L. Terpening, Zoe White, Django Scott, Elizabeth M. Hickie, Ian B. Quantifying the effect of body mass index, age, and depression severity on 24-h activity patterns in persons with a lifetime history of affective disorders |
title | Quantifying the effect of body mass index, age, and depression severity on 24-h activity patterns in persons with a lifetime history of affective disorders |
title_full | Quantifying the effect of body mass index, age, and depression severity on 24-h activity patterns in persons with a lifetime history of affective disorders |
title_fullStr | Quantifying the effect of body mass index, age, and depression severity on 24-h activity patterns in persons with a lifetime history of affective disorders |
title_full_unstemmed | Quantifying the effect of body mass index, age, and depression severity on 24-h activity patterns in persons with a lifetime history of affective disorders |
title_short | Quantifying the effect of body mass index, age, and depression severity on 24-h activity patterns in persons with a lifetime history of affective disorders |
title_sort | quantifying the effect of body mass index, age, and depression severity on 24-h activity patterns in persons with a lifetime history of affective disorders |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017039/ https://www.ncbi.nlm.nih.gov/pubmed/27612556 http://dx.doi.org/10.1186/s12888-016-1023-2 |
work_keys_str_mv | AT banihasheminahid quantifyingtheeffectofbodymassindexageanddepressionseverityon24hactivitypatternsinpersonswithalifetimehistoryofaffectivedisorders AT robillardrebecca quantifyingtheeffectofbodymassindexageanddepressionseverityon24hactivitypatternsinpersonswithalifetimehistoryofaffectivedisorders AT yangjean quantifyingtheeffectofbodymassindexageanddepressionseverityon24hactivitypatternsinpersonswithalifetimehistoryofaffectivedisorders AT carpenterjoannes quantifyingtheeffectofbodymassindexageanddepressionseverityon24hactivitypatternsinpersonswithalifetimehistoryofaffectivedisorders AT hermensdanielf quantifyingtheeffectofbodymassindexageanddepressionseverityon24hactivitypatternsinpersonswithalifetimehistoryofaffectivedisorders AT naismithsharonl quantifyingtheeffectofbodymassindexageanddepressionseverityon24hactivitypatternsinpersonswithalifetimehistoryofaffectivedisorders AT terpeningzoe quantifyingtheeffectofbodymassindexageanddepressionseverityon24hactivitypatternsinpersonswithalifetimehistoryofaffectivedisorders AT whitedjango quantifyingtheeffectofbodymassindexageanddepressionseverityon24hactivitypatternsinpersonswithalifetimehistoryofaffectivedisorders AT scottelizabethm quantifyingtheeffectofbodymassindexageanddepressionseverityon24hactivitypatternsinpersonswithalifetimehistoryofaffectivedisorders AT hickieianb quantifyingtheeffectofbodymassindexageanddepressionseverityon24hactivitypatternsinpersonswithalifetimehistoryofaffectivedisorders |