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Table 2 Associations of premenstrual disorders (PMD) with subsequent risk of injury

From: Clinical indications of premenstrual disorders and subsequent risk of injury: a population-based cohort study in Sweden

 

Population analysis

Sibling analysis a

Reference

PMD

Model 1

P

Model 2

P

Reference

PMD

Model 1

P

Model 2

P

N (IR)

N (IR)

HR (95% CI) b

HR (95% CI) c

N (IR)

N (IR)

HR (95% CI) b

HR (95% CI) c

Any injury

336,632 (23.3)

2,390 (25.6)

1.37 (1.31–1.42)

<0.01

1.30 (1.25–1.36)

<0.01

141,677 (22.4)

973 (25.5)

1.31 (1.16–1.48)

<0.01

1.28 (1.14–1.45)

<0.01

Suicidal behavior

22,420 (1.3)

216 (2.1)

2.26 (1.97–2.59)

<0.01

1.65 (1.43–1.89)

<0.01

8,911 (1.2)

89 (2.1)

1.86 (1.21–2.87)

0.01

1.44 (0.87–2.40)

0.16

Accidents

312,971 (21.4)

2,191 (23.2)

1.32 (1.27–1.38)

<0.01

1.28 (1.23–1.34)

<0.01

132,005 (20.7)

895 (23.2)

1.29 (1.14–1.46)

<0.01

1.27 (1.12–1.44)

<0.01

  1. N number, IR crude incidence rate per 1000 person-years, HR hazard ratio, CI confidence interval
  2. aAnalyses were stratified on full sister sets
  3. bHRs were controlled for attained age as the underlying timescale, calendar year of birth (1960–1965, 1966–1970, 1971–1975, 1976–1980, 1981–1985, or 1986–1990), educational level (primary school, high school, college and beyond, or unknown), region of residence (south, middle, or north of Sweden), and history of injury (yes or no)
  4. cHRs were additionally adjusted for psychiatric comorbidities (yes or no)