The Environment and Children’s Health Care in Northwest China

BMC Pediatrics

Table 5 Significant multivariable predictors of self-efficacy in managing environmental exposures

Exposure	Predictor (comparison group)	Odds of one point increase in Likert score (95% CI)
Lead	Xinjiang providers (compared with Gansu providers)	0.16 (0.06, 0.38)
Lead	Qinghai providers (compared with Gansu providers)	0.36 (0.18, 0.74)
Lead	Ningxia providers (compared with Gansu providers)	0.53 (0.32, 0.89)
Lead	Training in previous environmental history taking	1.99 (1.23, 3.22)
Mercury	Xinjiang providers (compared with Gansu providers)	0.11 (0.05, 0.27)
Mercury	Training in previous environmental history taking	2.12 (1.30, 3.47)
Pesticide	Xinjiang providers (compared with Gansu providers)	0.10 (0.04, 0.26)
Pesticide	Training in previous environmental history taking	2.52 (1.54, 4.11)
Air pollution	Xinjiang providers (compared with Gansu providers)	0.16 (0.06, 0.39)
Air pollution	Ningxia providers (compared with Gansu providers)	0.53 (0.31, 0.92)
Air pollution	Training in previous environmental history taking	2.70 (1.65, 4.44)
Mold	Xinjiang providers (compared with Gansu providers)	0.13 (0.05, 0.33)
Mold	Training in previous environmental history taking	2.23 (1.38, 3.61)
PCB	Xinjiang providers (compared with Gansu providers)	0.17 (0.06, 0.42)
PCB	Training in previous environmental history taking	2.72 (1.67, 4.42)

For all Likert scales, multinomial logistic analyses were performed to predict odds of higher (or lower) beliefs/attitudes/practices towards the environment and children’s health, in relation to each of the following: age, gender, province, years in practice, practice type, percent public assistance and previous training in environmental history taking (except when previous training was the outcome), while controlling for all other variables. Results not listed imply p > 0.05.

ISSN: 1471-2431