| Literature DB >> 35399063 |
Mansoureh Togha1, Mohammad Javad Karimitafti2, Zeinab Ghorbani3,4, Fatemeh Farham1, Fereshteh Naderi-Behdani5, Somayeh Nasergivehchi6, Zahra Vahabi7, Shadi Ariyanfar1,8, Elham Jafari9.
Abstract
BACKGROUND: Although headache is a common complaint in younger individuals, it is one of the most common complaints among persons over the age of 50 and is a significant cause of morbidity. As there are differences in the causes and types of headache, the diagnosis and management of headache in older adults differ from that in younger individuals.Entities:
Keywords: Depression; Headache; Medication-overuse headache; Middle-age and older; Migraine; Sleep apnea; Tension-type headache
Mesh:
Year: 2022 PMID: 35399063 PMCID: PMC8994908 DOI: 10.1186/s12877-022-03027-1
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
Overview of demographic characteristics of the study population according to headache type
| 55.53 * # ¥ ‡ | 5.21 | 59.08 * | 8.31 | 60.90 # € | 12.87 | 58.88 | 8.16 | 60.34¥ | 7.97 | 59.38 ‡ | 10.47 | 55.89 € | 5.36 | |||
| 25.94 * | 3.98 | 27.51 * | 4.19 | 26.24 | 3.81 | 26.71 | 4.57 | 27.98 | 4.29 | 27.61 | 3.71 | 27.03 | 4.56 | |||
| 8 | 4.0% | 18 | 15.0% | 13 | 33.3% | 3 | 4.9% | 5 | 11.9% | 3 | 6.4% | 9 | 14.3% | |||
| 50 | 25.3% | 51 | 42.5% | 18 | 46.2% | 28 | 45.9% | 13 | 31.0% | 21 | 44.7% | 10 | 15.9% | |||
| 56 | 28.3% | 35 | 29.2% | 10 | 25.6% | 13 | 21.3% | 11 | 26.2% | 11 | 23.4% | 21 | 33.3% | |||
| 19 | 9.6% | 9 | 7.5% | 4 | 10.3% | 6 | 9.8% | 8 | 19.0% | 9 | 19.1% | 4 | 6.3% | |||
| 47 | 23.7% | 16 | 13.3% | 4 | 10.3% | 9 | 14.8% | 7 | 16.7% | 5 | 10.6% | 18 | 28.6% | |||
| 26 | 13.1% | 9 | 7.5% | 3 | 7.7% | 5 | 8.2% | 3 | 7.1% | 1 | 2.1% | 10 | 15.9% | |||
| 43 | 21.7% | 15 | 12.5% | 9 | 23.1% | 9 | 14.8% | 10 | 23.8% | 6 | 12.8% | 15 | 23.8% | |||
| 15 | 7.6% | 26 | 21.7% | 7 | 17.9% | 7 | 11.5% | 10 | 23.8% | 5 | 10.6% | 4 | 6.3% | |||
| 40 | 20.2% | 30 | 25.0% | 11 | 28.2% | 12 | 19.7% | 12 | 28.6% | 7 | 14.9% | 17 | 27.0% | |||
| 100 | 50.5% | 49 | 40.8% | 12 | 30.8% | 33 | 54.1% | 10 | 23.8% | 29 | 61.7% | 27 | 42.9% | |||
| 5 | 2.5% | 5 | 4.2% | 1 | 2.6% | 1 | 1.6% | 0 | 0.0% | 4 | 8.5% | 1 | 1.6% | 0.237 | ||
| 175 | 88.4% | 98 | 81.7% | 36 | 92.3% | 52 | 85.2% | 39 | 92.9% | 37 | 78.7% | 61 | 96.8% | |||
| 12 | 6.1% | 11 | 9.2% | 0 | 0.0% | 5 | 8.2% | 3 | 7.1% | 4 | 8.5% | 1 | 1.6% | |||
| 6 | 3.0% | 6 | 5.0% | 2 | 5.1% | 3 | 4.9% | 0 | 0.0% | 2 | 4.3% | 0 | 0.0% | |||
| 15 | 7.6% | 19 | 15.8% | 7 | 17.9% | 7 | 11.5% | 4 | 9.5% | 4 | 8.5% | 8 | 12.7% | 0.491 | ||
| 2 | 1.0% | 5 | 4.2% | 3 | 7.7% | 2 | 3.3% | 0 | 0.0% | 2 | 4.3% | 3 | 4.8% | 0.204 | ||
Data are presented as mean and standard deviation or number and percentage as appropriate
#Results derived from chi-square test or one-way ANOVA
* # ¥ ‡ Matching symbols indicate significant between-group differences
Comorbidities of the study population according to headache type
| 26 | 13.1% | 25 | 20.8% | 9 | 23.1% | 13 | 21.3% | 11 | 26.2% | 13 | 27.7% | 11 | 17.5% | 0.166 | ||
| 41 | 20.7% | 36 | 30.0% | 14 | 35.9% | 20 | 32.8% | 31 | 73.8% | 10 | 21.3% | 20 | 31.7% | |||
| 50 | 25.3% | 34 | 28.3% | 7 | 17.9% | 15 | 24.6% | 8 | 19.0% | 10 | 21.3% | 28 | 44.4% | |||
| 38 | 19.2% | 17 | 14.2% | 5 | 12.8% | 21 | 34.4% | 7 | 16.7% | 4 | 8.5% | 3 | 4.8% | |||
| 4 | 2.0% | 1 | 0.8% | 0 | 0.0% | 0 | 0.0% | 1 | 2.4% | 1 | 2.1% | 2 | 3.2% | |||
| 3 | 1.5% | 1 | 0.8% | 0 | 0.0% | 1 | 1.6% | 3 | 7.1% | 0 | 0.0% | 0 | 0.0% | 0.084 | ||
| 20 | 10.1% | 16 | 13.3% | 4 | 10.3% | 6 | 9.8% | 5 | 11.9% | 4 | 8.5% | 14 | 22.2% | |||
| 34 | 17.2% | 14 | 11.7% | 10 | 25.6% | 6 | 9.8% | 2 | 4.8% | 6 | 13.0% | 9 | 14.3% | 0.112 | ||
| 23 | 11.6% | 17 | 14.2% | 2 | 5.1% | 9 | 14.8% | 5 | 11.9% | 2 | 4.3% | 16 | 25.4% | |||
| 57 | 28.8% | 28 | 23.3% | 5 | 12.8% | 10 | 16.4% | 7 | 16.7% | 8 | 17.0% | 19 | 30.2% | 0.088 | ||
| 31 | 15.7% | 9 | 7.5% | 1 | 2.6% | 7 | 11.5% | 3 | 7.1% | 2 | 4.3% | 11 | 17.5% | 0.103 | ||
| 56 | 28.3% | 40 | 33.3% | 11 | 28.2% | 20 | 32.8% | 17 | 40.5% | 16 | 34.0% | 24 | 38.1% | |||
| 34 | 17.2% | 21 | 17.5% | 12 | 30.8% | 12 | 19.7% | 13 | 31.0% | 6 | 12.8% | 12 | 19.0% | 0.066 | ||
Data are presented as number and percentage
#Results derived from chi-square test
Fig. 1Distribution of patients according to categories of sleep apnea total score based on STOP-BANG questionnaire
Categories of depression based on Beck Depression Inventory (BDI) score according to headache type
| 7 | 3.6% | 5 | 4.6% | 1 | 2.7% | 5 | 8.3% | 2 | 4.8% | 7 | 15.6% | 2 | 3.3% | ||
| 14 | 7.2% | 7 | 6.5% | 3 | 8.1% | 6 | 10.0% | 3 | 7.1% | 3 | 6.7% | 0 | 0.0% | ||
| 19 | 9.7% | 11 | 10.2% | 2 | 5.4% | 11 | 18.3% | 3 | 7.1% | 0 | 0.0% | 2 | 3.3% | ||
| 78 | 40.0% | 37 | 34.3% | 13 | 35.1% | 18 | 30.0% | 17 | 40.5% | 13 | 28.9% | 19 | 31.1% | ||
| 59 | 30.3% | 34 | 31.5% | 14 | 37.8% | 13 | 21.7% | 11 | 26.2% | 20 | 44.4% | 23 | 37.7% | ||
| 18 | 9.2% | 14 | 13.0% | 4 | 10.8% | 7 | 11.7% | 6 | 14.3% | 2 | 4.4% | 15 | 24.6% | ||
#Chi-square test