| Literature DB >> 32265238 |
Faith Alele1, Bunmi Malau-Aduli2, Aduli Malau-Aduli3, Melissa Crowe4.
Abstract
OBJECTIVES: This review aimed to describe the epidemiology of all heat-related illnesses in women compared with men in the armed forces and to identify gender-specific risk factors and differences in heat tolerance.Entities:
Keywords: accident & emergency medicine; armed forces; heat stroke; occupational & industrial medicine; women
Mesh:
Year: 2020 PMID: 32265238 PMCID: PMC7245403 DOI: 10.1136/bmjopen-2019-031825
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Preferred reporting items for systematic review and meta-analysis flow chart of the study selection protocol.
Figure 2The incidence rate of exertional heat stroke between men and women in the armed forces from 2006 to 2018.
Figure 3Incidence rate of other heat illnesses (including heat exhaustion and unspecified effects of heat and light) between men and women in the armed forces from 2006 to 2018.
Incidence and proportion of all heat-related illnesses in women and men in the armed force
| Reference, year | Country | Study design | Study duration | Population | ICD codes | All heat injuries | |
| Women | Men | ||||||
| Dickson, 1994 | UK | Descriptive epidemiology | 1981–1991 | Royal Air force, Royal Navy and Army (1448 cases) | ICD-9-CM: 992.0–992.9 | 11.43* | 41.87* |
| Army Medical Surveillance Activity, 1998 | USA | Descriptive epidemiology | 1997–1998 | US Army (1433 cases) | ICD-9-CM: 992.0–992.9 | 12.8† | 8.6† |
| 1998 | 15.8† | 12.0† | |||||
| Army Medical Surveillance Activity, 2000 | USA | Descriptive epidemiology | 1997–1999 | US Army and Marine Corps (3386 cases) | ICD-9-CM: 992.0–992.9 | ||
| Army (1896 cases) | 2.0‡ | 1.5‡ | |||||
| Marine Corps (1104 cases) | 4.4‡ | 2.0‡ | |||||
| Army Medical Surveillance Activity, 2002 | USA | Descriptive epidemiology | 1990–1997 | US Army (2290 cases) | ICD-9-CM: 992.0–992.9 | 14.0%§ | 86.0%§ |
| Case–control | 1998–2001 | US Army (5021 cases and 10 042 controls) | 20.7%§ | 79.3%§ | |||
| Army Medical Surveillance Activity, 2003 | USA | Descriptive epidemiology | 2002 | US Army (1816 cases) | ICD-9-CM: 992.0–992.9 | 3.5‡ | 5.1‡ |
| Carter | USA | Cross-sectional | 1980–2002 | US Army (5246 cases) | ICD-9-CM: 992.0–992.9 | 13.7%§ | 86.3%§ |
| Bedno | USA | Analytical cross-sectional | 2005–2006 | US Armed Forces (80 exertional heat illness cases) | ICD-9-CM: 992.0–992.9 | 0.680% | 0.71% |
| 9455 men | |||||||
| 1913 women | |||||||
*Incidence rate reported per 100 000 person-years.
†Incidence rate per 100 000 person-months.
‡Incidence rate reported per 1000 person-years.
§Proportions and incidences reported are of the total cases reported in the articles.
ICD, International Classification of Disease.
Gender-specific risk factors associated with heat illness
| Reference, year | Country | Study design and duration | Study population | Risk factors | OR or IDR (95% CI) |
| Army Medical Surveillance Activity, 2002 | USA | Case–control | US Army | Female | 1.5 (1.4 to 1.7) |
| Carter | USA | Cross-sectional | US Army | Female | 1.21 (1.09 to 1.40) |
| 1980–2002 | 5246 cases of heat illness; | ||||
| Wallace | USA | Case–control | US Marine Corps | BMI ≥26 kg/m2 (males) | 2.10 (1.59 to 2.78) |
| 1988–1996 | Male (627 cases and 1679 controls) | Run time ≥12.9 min (males) | 5.61 (3.73 to 8.45) | ||
| Female (49 cases and 123 controls) | Run time ≥6.9 min (females) | 5.30 (1.59 to 17.64) |
BMI, body mass index; IDR, incidence density ratio.
Heat tolerance in women and men
| Reference, year | Country | Study design and duration | Study population | Heat in tolerance rate | |
| Women (%) | Men (%) | ||||
| Druyan | Israel | Retrospective cross-sectional 2008–2010 | 170 males and nine females | 66.67 | 25.79 |
| Lisman | USA | Analytical cross-sectional | Military and university community members; | 42 | 27 |
| Kazman | USA | Analytical cross-sectional | Military and university community members; | 45 | 18 |