Sentence examples for morbidity indicators were from inspiring English sources

Several demographic and morbidity indicators were used in the univariate comparison between participants and non-participants.

Changes of mortality and morbidity indicators were additionally described by confidence intervals using STATA 8.0 and only those with statistically significant changes, non-overlapping confidence intervals were considered for Auto Regressive Iintegarted Moving Average (ARIMA) model.

Morbidity indicators were: any ill health on the day of visit; any serious illness in the past month requiring care-seeking outside the home; and occurrence in the past 24 h of diarrhoea, vomiting, cough, fever and frequent crying.

The fact that questionnaire data were not particularly reliable as morbidity indicators is not surprising.

However, due to insufficient concordance with their diagnoses-based analogues, their use for morbidity indicators is limited.

Finally, how the questionnaire scores were influenced by socio-demographic and morbidity indicators was studied by univariate and multivariate analysis, using the nonparametric quantile (Least Absolute Value) regression.

The present study shows some limitations: (1) all the information about morbidity indicators is self-reported by patients so they could be misclassified; (2) participation was voluntary so there could be selection bias; (3) refusals were not recorded so it was impossible to assess whether people who refused to answer the questionnaires differed from people who agreed.

Since the morbidity and healthcare indicators were of concerns, the interviewers were trained with special focus on these issues.

If linearity was not assumed, other trend-line options (trend/regression types) including polynomial, logarithmic, exponential and power were considered Here morbidity and mortality indicators were considered as outcome variables and any indicator that affected the outcome variables was taken as independent variables.

Morbidity indicators will be constructed from APDC and EDDC diagnoses for important childhood conditions that may impact on development, such as age of first ventilation tube insertion (to drain middle ear fluid for children with otitis media), number of ventilation tube insertion procedures and number of condition-specific hospital admissions (eg, asthma, injury, gastroenteritis).

All indicators were dichotomized such that each participant either did or did not exhibit morbidity according to the indicator.