| Literature DB >> 24884549 |
Timothy J Steiner1, Lars Jacob Stovner, Zaza Katsarava, Jose Miguel Lainez, Christian Lampl, Michel Lantéri-Minet, Daiva Rastenyte, Elena Ruiz de la Torre, Cristina Tassorelli, Jessica Barré, Colette Andrée.
Abstract
BACKGROUND: European data, at least from Western Europe, are relatively good on migraine prevalence but less sound for tension-type headache (TTH) and medication-overuse headache (MOH). Evidence on impact of headache disorders is very limited. Eurolight was a data-gathering exercise primarily to inform health policy in the European Union (EU). This manuscript reports personal impact.Entities:
Mesh:
Year: 2014 PMID: 24884549 PMCID: PMC4045992 DOI: 10.1186/1129-2377-15-31
Source DB: PubMed Journal: J Headache Pain ISSN: 1129-2369 Impact factor: 7.277
Summary of data collection methods in each country, excluding samples drawn through patients’ organizations
| Lithuania | 1,137 | Sample drawn from inhabitants of Kaunas city and Kaunas region using Residents’ Register Service, reflecting age (in range 18–65 y) and gender composition of Lithuania and proportions living in rural (33%) or urban (67%) areas. Data collection face-to-face, conducted by medical students “cold-calling” door-to-door. |
| Luxembourg | 6,498 | Sample aged 18–65 y, stratified for age, gender, region and nationality, drawn from general population via national social security registry (IGSS). Questionnaires distributed and returned by post. Reminders sent one month later to non-responders. |
| Spain | 1,700 | Random sample of employees of various companies operating in national postal services in 10 areas of Spain, stratified to be representative of general working population with regard to gender, age (within range 18–65 y) and education. Ten occupational health physicians delivered and took return of questionnaires. One reminder by telephone to non-responders. |
| Germany | 3,000 | Random urban (50%) and rural (50%) samples aged 18–65 y from general population listings supplied by local municipal authority. Questionnaires distributed and returned by post. No reminders sent. |
| Italy | 3,500 | Random urban (70%) and rural (30%) samples drawn from general population using listings supplied by Azienda Sanitaria Locale of Pavia, stratified with regard to gender, age (in range 18–65 y) and education. Questionnaires distributed and returned by post. No reminders sent. |
| France | 2,400 | Consecutive patients aged 18–65 y attending any of cooperative of 80 general practitioners (GPs) on a pre-specified day. Questionnaires to be completed and returned immediately or later by post. One reminder by email after one week to non-responders. |
| Austria | up to 6,000 | Up to 10 consecutive patients aged 18–65 y visiting any of 400 GPs and 200 neurologists for any reason on a pre-specified day. Questionnaires to be completed and returned later. One reminder after one month to non-responders. |
| Netherlands | unknown | Survey conducted by TNS-NIPO, a market research company with access to a population sample of 200,000, representative with regard to gender, age (in range 18–65 y), region and education. Questionnaire distributed by internet, to be completed on-line. Study stopped when >2,000 received back. |
| UK | 720 | Modified population-based sampling attempted through 12 GP practices in 11 areas (in UK, virtually all residents are registered with local GP). Questionnaire given to consecutive patients aged 18–65 y attending for any reason over a period of time, to be completed and returned immediately, or later by post. |
*Listed in descending order corresponding to how well the sample was population-based.
Numbers of participants, participation rates and demographic characteristics of samples per country
| Austria† | 644 | unknown, but not >6,000 | not calculable | 70 | 48.8 [16.0] | 57 | 75 |
| France† | 876 | 2,400 | 36.5 | 68 | 50.2 [16.7] | 52 | 80 |
| Germany | 318 | 3,000 | 10.6 | 57 | 44.6 [12.5] | 70 | 65 |
| Italy | 487 | 3,500 | 13.9 | 58 | 43.4 [12.6] | 68 | 92 |
| Lithuania | 573 | 1,137 | 50.4 | 59 | 40.9 [13.8] | 65 | 67 |
| Luxembourg | 1,833 | 6,498 | 28.2 | 59 | 40.5 [12.7] | 67 | 71 |
| Netherlands | 2,414 | unknown | not calculable | 50 | 42.6 [13.2] | 69 | 69 |
| Spain | 999 | 1,700 | 58.8 | 59 | 42.7 [11.9] | 83 | 69 |
| UK† | 127 | 720 | 17.6 | 65 | 48.0 [18.3] | 54 | 67 |
| Overall | 8,271 | 27.5* | 58 | 43.4 | 65 | 72 |
Sample derived from health-care setting (see Table 1). *Excluding Austria and Netherlands.
One-year prevalences (unadjusted) of specific headache types in the main sample (n = 8,271)
| Any headache | 79.6 [78.7-80.5] | 71.1 [69.6-72.6] | 86.0 [85.0-87.0] |
| All migraine | 36.6 [35.6-37.6] | 26.9 [25.4-28.4] | 43.6 [42.2-45.0] |
| Definite migraine | 22.2 [21.3-23.1] | 14.8 [13.6-16.0] | 27.7 [26.4-29.0] |
| Probable migraine | 14.3 [13.6-15.1] | 12.1 [11.0-13.2] | 15.9 [14.9-16.9] |
| All TTH | 37.6 [36.6-38.6] | 40.7 [39.1-42.3] | 35.7 [34.3-37.1] |
| Definite TTH | 30.8 [29.8-31.8] | 33.8 [32.2-35.4] | 28.9 [27.6-30.2] |
| Probable TTH | 6.8 [6.3-7.3] | 6.9 [6.1-7.7] | 6.8 [6.1-7.5] |
| Headache on ≥15 d/mo | 7.6 [7.0-8.2] | 4.9 [4.2-5.6] | 9.5 [8.7-10.3] |
| Probable MOH | 3.3 [2.9-3.7] | 1.8 [1.4-2.2] | 4.3 [3.7-4.9] |
CI: confidence interval; TTH: tension-type headache; MOH: medication-overuse headache.
Personal impact of headache assessed by seven questions
| 1. Have your headaches interfered with your education? | 9.2 | 7.9 | 9.9 |
| 2. Do you believe your headaches have made you less successful in your career? | 7.7 | 7.0 | 8.1 |
| 3. Have your headaches resulted in reduced earnings? | 8.4 | 8.0 | 8.7 |
| 4. Do you avoid telling people that you have headaches? | 31.4 | 30.1 | 32.1 |
| 5. Do you feel that your employer and work colleagues understand and accept your headaches? | 36.3† | 38.9† | 34.9† |
| 6. Do you feel that your family and friends understand and accept your headaches? | 10.8 | 10.5 | 10.9 |
| 7. Taking into account everything you do to treat your headaches, do you feel you are in control of your headaches? | 13.5 | 13.0 | 13.7 |
*“Yes” to questions 1–4; “no” to questions 5 and 6; “rarely” or “never” to question 7.
Of those to whom the question was applicable (ie, having headache and being employed).
Figure 1Personal impact of headache assessed by HALT index (days lost in preceding 3 months), by country.
Personal impact of headache assessed by HALT index (days lost in preceding 3 months), by diagnosis and gender
| Migraine | | | | |
| Males | 73.0 [±3.0] | 9.3 [±2.0] | 7.8 [±1.8] | 9.9 [±2.0] |
| Females | 57.7 [±2.3] | 14.4 [±1.6] | 12.2 [±1.5] | 15.8 [±1.7] |
| Tension-type headache | | | | |
| Males | 92.0 [±1.5] | 3.3 [±1.0] | 2.2 [±0.8] | 2.5 [±0.8] |
| Females | 87.5 [±1.7] | 5.4 [±1.1] | 3.4 [±0.9] | 3.7 [±1.0] |
| Probable medication-overuse headache | | | | |
| Males | 34.0 [±13.5] | 10.6 [±8.8] | 10.6 [±8.8] | 44.7 [±14.2] |
| Females | 31.4 [±8.3] | 6.6 [±4.4] | 8.3 [±4.9] | 53.7 [±8.9] |
CI: confidence interval.
Personal impact of headache assessed as headache-attributed lost work, housework and social days in preceding 3 months, by diagnosis and gender
| Migraine | 3.2 [8.6] | 0-120 | 0 | 3 | 4.6 [9.2] | 0-115 | 1 | 6 | 2.1 [5.0] | 0-90 | 0 | 2 |
| Males | 2.9 [9.4] | 0-120 | 0 | 2 | 3.3 [8.7] | 0-100 | 0 | 2 | 1.7 [4.8] | 0-90 | 0 | 2 |
| Females | 3.4 [8.3] | 0-90 | 0 | 3 | 5.2 [9.4] | 0-115 | 2 | 6 | 2.3 [5.1] | 0-90 | 0 | 3 |
| Tension-type headache | 1.0 [5.7] | 0-90 | 0 | 0 | 1.3 [5.7] | 0-90 | 0 | 0 | 0.6 [3.9] | 0-90 | 0 | 0 |
| Males | 1.0 [6.0] | 0-90 | 0 | 0 | 1.0 [5.5] | 0-90 | 0 | 0 | 0.6 [3.9] | 0-90 | 0 | 0 |
| Females | 1.0 [5.5] | 0-90 | 0 | 0 | 1.6 [5.8] | 0-90 | 0 | 1 | 0.7 [3.8] | 0-86 | 0 | 0 |
| Probable MOH | 14.2 [26.1] | 0-180 | 3 | 17 | 21.4 [26.7] | 0-155 | 12 | 30 | 9.0 [16.2] | 0-90 | 3 | 10 |
| Males | 15.1 [32.7] | 0-180 | 2 | 10 | 20.0 [31.5] | 0-150 | 6 | 24 | 9.7 [18.6] | 0-90 | 2 | 10 |
| Females | 13.9 [23.3] | 0-155 | 5 | 20 | 21.9 [25.3] | 0-155 | 14 | 30 | 8.8 [15.3] | 0-90 | 3 | 10 |
MOH: medication-overuse headache; SD: standard deviation.
Interictal burden assessed by three questions
| Migraine | | | | |
| Males | 17.3 | 70.8 | 9.5 | 2.4 |
| Females | 15.1 | 71.5 | 11.4 | 2.0 |
| Tension-type headache | | | | |
| Males | 18.7 | 76.3 | 4.7 | 0.4 |
| Females | 14.9 | 81.2 | 3.6 | 0.4 |
| Probable medication-overuse headache | | | | |
| Males | 15.0 | 60.0 | 20.0 | 5.0 |
| Females | 18.2 | 50.5 | 24.4 | 6.8 |
Impact of headache on others assessed by seven questions in three areas of family life
| | | | |
| 1. Have your headaches affected your family planning (fewer children, or avoided having children)? | 5.5† | 1.1† | 21.1† |
| 2. During the last 3 months, have your headaches caused difficulties in your love life? | 17.8† | 5.5† | 48.6† |
| 3. Have your headaches caused a relationship to break down (separation or divorce)? | 0.7 | 0.3 | 7.0 |
| | | | |
| 4. During the last 3 months, have your headaches caused one or more of your children to miss school? | 1.7† | 1.5† | 5.0† |
| 5. During the last 3 months, have your headaches prevented you from caring for your children? | 18.2† | 7.9† | 50.0† |
| | | | |
| 6. During the last 3 months, have your headaches caused your partner to lose time from work? | 2.6† | 0.9† | 10.7† |
| 7. During the last 3 months, have your headaches caused your partner to miss social activities? | 9.1† | 2.9† | 24.6† |
TTH: tension-type headache, MOH: medication-overuse headache.
Of those to whom the question was applicable (ie, having headache and a household partner and/or children).