Table 1.
Characteristics | Number of studies (N = 82) | (%) |
---|---|---|
Publication year | ||
2000 |
2 |
(2) |
2001 |
4 |
(5) |
2002 |
4 |
(5) |
2003 |
5 |
(6) |
2004 |
6 |
(7) |
2005 |
8 |
(10) |
2006 |
11 |
(13) |
2007 |
13 |
(16) |
2008 |
13 |
(16) |
2009 |
16 |
(20) |
Number of participants recruited at baseline | ||
Not stated in paper |
4 |
(5) |
1,000–2,000 |
15 |
(18) |
2,000–3,000 |
13 |
(16) |
3,000–5,000 |
14 |
(17) |
5,000–10,000 |
13 |
(16) |
10,000–20,000 |
14 |
(17) |
20,000 + |
9 |
(11) |
Date of baseline recruitment (decade recruitment started) | ||
Not stated in paper |
5 |
(6) |
Before 1970 |
9 |
(11) |
1970–1979 |
9 |
(11) |
1980–1989 |
25 |
(30) |
1990–1999 |
30 |
(37) |
2000–2009 |
4 |
(5) |
Number of follow-up waves used in the analysis | ||
Number not stated |
12 |
(15) |
Mean or range given |
7 |
(9) |
1 |
10 |
(12) |
2 |
9 |
(11) |
3 |
18 |
(22) |
4 |
12 |
(15) |
≥5 |
14 |
(17) |
Statistical methods for epidemiological analysis† | ||
Cox proportional hazards regression^ |
37‡ |
|
Time-varying covariates |
35 |
|
Time-invariant covariates |
3 |
|
Generalised Estimating Equations |
12* |
|
Linear regression |
3 |
|
Logistic regression |
10 |
|
Generalised linear mixed-effects modelling |
16 |
|
Linear regression |
13 |
|
Logistic regression |
3 |
|
Standard linear regression |
3 |
|
Standard logistic regression |
9 |
|
Other methods | 6 |
† The total number of papers is 83 because one paper used two analysis models: a Cox proportional hazards model for a time to event outcome and a linear mixed effects model for a numerical outcome.
^ Note one paper used a parametric survival model.
‡ One paper incorporated their repeated measures of exposures using both a time varying covariate and time-invariant covariates.
*One paper had a numerical and binary outcome.