Dataset Information

Body mass index, time of day and genetics affect perivascular spaces in the white matter.

ABSTRACT: The analysis of cerebral perivascular spaces (PVS) using magnetic resonance imaging (MRI) allows to explore in vivo their contributions to neurological disorders. To date the normal amount and distribution of PVS in healthy human brains are not known, thus hampering our ability to define with confidence pathogenic alterations. Furthermore, it is unclear which biological factors can influence the presence and size of PVS on MRI. We performed exploratory data analysis of PVS volume and distribution in a large population of healthy individuals (n = 897, age = 28.8 ± 3.7). Here we describe the global and regional amount of PVS in the white matter, which can be used as a reference for clinicians and researchers investigating PVS and may help the interpretation of the structural changes affecting PVS in pathological states. We found a relatively high inter-subject variability in the PVS amount in this population of healthy adults (range: 1.31-14.49 cm³). The PVS volume was higher in older and male individuals. Moreover, we identified body mass index, time of day, and genetics as new elements significantly affecting PVS in vivo under physiological conditions, offering a valuable foundation to future studies aimed at understanding the physiology of perivascular flow.

SUBMITTER: Barisano G

PROVIDER: S-EPMC8221772 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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Body mass index, time of day and genetics affect perivascular spaces in the white matter.

Barisano Giuseppe G Sheikh-Bahaei Nasim N Law Meng M Toga Arthur W AW Sepehrband Farshid F

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism 20201112 7

The analysis of cerebral perivascular spaces (PVS) using magnetic resonance imaging (MRI) allows to explore <i>in vivo</i> their contributions to neurological disorders. To date the normal amount and distribution of PVS in healthy human brains are not known, thus hampering our ability to define with confidence pathogenic alterations. Furthermore, it is unclear which biological factors can influence the presence and size of PVS on MRI. We performed exploratory data analysis of PVS volume and dist ...[more]

PMID: 33183133

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Project description:ObjectiveOverweight and obese women may avoid contraceptive methods they believe are associated with weight gain. The objective of this study was to examine the role of weight and weight perception on contraceptive use.Study designUsing cross-sectional data from the MyNewOptions study, we analyzed contraceptive use among 987 privately insured, sexually active women aged 18-40 years. Contraception was categorized into three groups: (1) long-acting reversible contraceptives (LARCs), (2) non-LARC prescription methods and (3) nonprescription methods/no method. Multinomial logistic regression was used to model the effect of body mass index category and weight perception on contraceptive use while controlling for pregnancy intentions, sexual behavior and sociodemographic characteristics.ResultsEighty-three (8.4%) women were using LARCs, 490 (49.6%) women were using non-LARC prescription methods and 414 (42.0%) were using nonprescription methods or no method. In the adjusted multinomial model, overweight [adjusted odds ratio (aOR) 3.84, 95% confidence interval (CI) 1.85-7.98) and obese women (aOR 2.82, 95% CI 1.18-6.72) were significantly more likely to use LARCs compared to normal-weight women. There were greater adjusted odds of overweight and obese women using nonprescription methods/no method compared with non-LARC prescription methods, but this finding did not reach statistical significance. Weight perception was not associated with contraceptive use.ConclusionIn this study sample, overweight and obese women were more likely to use LARCs than normal-weight women. It will be important to further understand how weight influences women and providers' views on contraception in order to better assist women with individualized, patient-centered contraceptive decision making.ImplicationsOverweight and obese women may be reluctant to use contraceptive methods they believe are associated with weight gain (i.e., pills, shot), but how that affects contraceptive use is unclear. Compared with normal-weight women, overweight and obese women in this study were more likely to use LARCs than non-LARC prescription methods.

Dataset Information

Body mass index, time of day and genetics affect perivascular spaces in the white matter.

Publications

Body mass index, time of day and genetics affect perivascular spaces in the white matter.

Similar Datasets

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