Weighted neighbourhood level hazard ratios4-152 for injury mortality by cause of death and type of model used for persons aged 18–64 who responded to the National Health Interview Survey 1987–1994 with follow up until 1995 and linked to the 1990 US Census (n=472 364)
Homicide | Suicide | Motor vehicle | Other external | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Demo§ | Full¶ | Demo | Full | Demo | Full | Demo | Full | ||||||||
Socioeconomic status | |||||||||||||||
Family income | |||||||||||||||
$0–25 953 | 3.96† | 2.66** | 1.08 | 0.95 | 2.23† | 1.73** | 2.61† | 1.46 | |||||||
$25 953–33 271 | 2.02* | 1.64 | 1.53* | 1.46* | 2.19† | 1.89† | 1.78** | 1.24 | |||||||
$33 271–42 933 | 2.99** | 2.67** | 1.04 | 1.01 | 1.50* | 1.38* | 1.60* | 1.28 | |||||||
$42 933–150 001 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
Poverty | |||||||||||||||
0–13.6% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
13.6–24.8% | 2.03** | 1.81* | 0.99 | 0.95 | 1.24 | 1.13 | 1.47* | 1.20 | |||||||
24.8–38.1% | 1.61 | 1.27 | 1.53* | 1.44* | 2.26† | 1.93† | 2.06† | 1.44* | |||||||
38.1–100% | 3.08† | 2.00* | 1.05 | 0.91 | 1.94** | 1.48* | 2.81† | 1.57* | |||||||
Education | |||||||||||||||
0–14.9% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
14.9–24.0% | 2.05* | 1.92* | 0.90 | 0.87 | 1.39 | 1.30 | 1.25 | 1.07 | |||||||
24.0–35.6% | 2.34** | 1.99* | 1.18 | 1.10 | 1.84** | 1.60** | 1.60* | 1.19 | |||||||
35.6–83.1% | 3.92† | 2.73** | 0.90 | 0.77 | 2.26† | 1.75** | 2.29† | 1.36 | |||||||
Housing value | |||||||||||||||
$0–46 200 | 2.21** | 1.65* | 1.28 | 1.22 | 1.91† | 1.60** | 1.65** | 1.10 | |||||||
$46 200–68 400 | 1.59 | 1.39 | 0.99 | 0.98 | 1.63** | 1.49** | 1.13 | 0.90 | |||||||
$68 400–121 000 | 1.70* | 1.61 | 1.02 | 1.03 | 1.29 | 1.24 | 0.81 | 0.72 | |||||||
$121 000–500 001 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
Crowded housing | |||||||||||||||
0–1.2% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
1.2–2.7% | 1.29 | 1.20 | 1.30 | 1.27 | 1.16 | 1.08 | 1.99** | 1.78** | |||||||
2.7–5.8% | 1.31 | 1.11 | 1.45* | 1.38 | 1.43* | 1.27 | 2.53† | 2.07** | |||||||
5.8–69.4% | 2.24** | 1.70* | 0.96 | 0.86 | 1.42* | 1.16 | 2.75† | 1.96** | |||||||
Blue collar | |||||||||||||||
0–33.9% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
33.9–45.7% | 1.64 | 1.46 | 0.94 | 0.91 | 1.55** | 1.43* | 1.13 | 0.92 | |||||||
45.7–56.7% | 1.69 | 1.33 | 1.12 | 1.05 | 2.07† | 1.80† | 1.63** | 1.17 | |||||||
56.7–100% | 2.32** | 1.64 | 1.00 | 0.92 | 2.32† | 1.88† | 1.92† | 1.21 | |||||||
Racial concentration | |||||||||||||||
Black | |||||||||||||||
0–0.4% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
0.4–2.3% | 1.18 | 1.23 | 1.10 | 1.10 | 0.71* | 0.73* | 0.98 | 1.06 | |||||||
2.3–13.1% | 1.07 | 1.06 | 1.48* | 1.43* | 0.74* | 0.74* | 1.18 | 1.17 | |||||||
13.1–100% | 2.51** | 2.16** | 1.20 | 1.11 | 0.96 | 0.87 | 1.42 | 1.20 | |||||||
Hispanic | |||||||||||||||
0–0.5% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
0.5–1.7% | 1.14 | 1.27 | 1.38 | 1.40 | 0.81 | 0.86 | 0.58** | 0.64** | |||||||
1.7–6.7% | 0.81 | 0.94 | 1.19 | 1.20 | 0.73* | 0.79 | 0.73 | 0.84 | |||||||
6.7–98.0% | 1.37 | 1.43 | 1.17 | 1.12 | 0.75 | 0.74 | 0.94 | 0.93 | |||||||
Residential stability | |||||||||||||||
Mobility | |||||||||||||||
0–48.3% | 1.18 | 1.26 | 1.42 | 1.38 | 0.80 | 0.80 | 0.78 | 0.77 | |||||||
48.3–57.0% | 1.41 | 1.48 | 1.40 | 1.40 | 0.97 | 0.98 | 0.86 | 0.87 | |||||||
57.0–64.4% | 1.31 | 1.36 | 1.45* | 1.45* | 1.04 | 1.05 | 0.82 | 0.83 | |||||||
64.4–90.4% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
Unemployment | |||||||||||||||
0–2.6% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
2.6–3.7% | 0.84 | 0.77 | 1.04 | 1.00 | 1.00 | 0.94 | 1.51* | 1.32 | |||||||
3.7–5.4% | 1.07 | 0.91 | 1.24 | 1.16 | 1.48** | 1.32 | 1.64** | 1.31 | |||||||
5.4–26.9% | 1.83* | 1.29 | 0.97 | 0.83 | 1.61** | 1.27 | 2.27† | 1.44 | |||||||
Housing tenure | |||||||||||||||
0–19.2% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
19.2–29.2% | 1.62 | 1.53 | 1.20 | 1.17 | 1.00 | 0.95 | 0.86 | 0.78 | |||||||
29.2–46.9% | 1.61 | 1.49 | 1.25 | 1.19 | 1.03 | 0.95 | 0.83 | 0.73 | |||||||
46.9–100% | 1.82* | 1.59 | 1.36 | 1.21 | 0.82 | 0.72* | 1.30 | 1.02 | |||||||
Family structure | |||||||||||||||
Female headship | |||||||||||||||
0–6.9% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
6.9–9.7% | 1.86 | 1.82 | 1.23 | 1.21 | 0.95 | 0.92 | 1.11 | 1.07 | |||||||
9.7–14.4% | 3.05** | 2.79** | 1.47* | 1.40 | 1.01 | 0.93 | 1.18 | 1.03 | |||||||
14.4–80.1 | 4.59† | 3.50** | 1.18 | 1.05 | 0.99 | 0.80 | 1.68** | 1.17 | |||||||
Poor female headship | |||||||||||||||
0–1.0% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
1.0–2.6% | 2.11* | 1.93* | 1.22 | 1.20 | 1.52** | 1.41* | 1.68* | 1.44 | |||||||
2.6–6.3% | 1.85* | 1.55 | 1.62* | 1.54* | 1.69** | 1.47** | 1.61* | 1.21 | |||||||
6.3–74.4% | 3.30† | 2.31** | 1.20 | 1.06 | 1.87† | 1.46* | 2.47† | 1.52 | |||||||
Divorced | |||||||||||||||
0–7.5% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
7.5–10.1% | 2.67** | 2.57** | 0.94 | 0.92 | 1.01 | 0.96 | 1.28 | 1.18 | |||||||
10.1–13.6% | 1.86 | 1.79 | 1.27 | 1.22 | 1.05 | 0.98 | 1.07 | 0.96 | |||||||
13.6–38.7% | 3.00** | 2.61** | 1.45 | 1.32 | 0.83 | 0.73 | 1.42 | 1.13 | |||||||
Urbanisation | |||||||||||||||
Multi-unit housing | |||||||||||||||
0–1.5% | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||||
1.5–7.7% | 1.26 | 1.26 | 1.13 | 1.12 | 0.80 | 0.80 | 1.08 | 1.07 | |||||||
7.7–21.9% | 1.40 | 1.46 | 0.95 | 0.93 | 0.65** | 0.66** | 0.76 | 0.78 | |||||||
21.9–100 | 1.16 | 1.21 | 1.02 | 0.96 | 0.54** | 0.54** | 0.95 | 0.95 | |||||||
Urban | |||||||||||||||
Yes | 1.48 | 1.62 | 0.90 | 0.88 | 0.60† | 0.64† | 0.62** | 0.68** | |||||||
No | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
↵4-152 Estimates are adjusted for sample design and each neighbourhood variable is entered separately. §Demo = demographic model adjusting for age, gender, race/ethnicity. ¶Full = full model adjusting for demographic characteristics, marital status, income to needs, educational attainment, employment/occupational status. *p<0.05**p<0.01 †p<0.0001.