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1.
Eur J Public Health ; 30(2): 270-275, 2020 04 01.
Article in English | MEDLINE | ID: mdl-31981359

ABSTRACT

BACKGROUND: It is unclear to what extent socioeconomic inequalities exist in common infectious diseases in high-income countries. We aimed to explore educational differences in five common acute infectious diseases in adults in the Netherlands. METHODS: As part of a year-round repeated cross-sectional health survey, adults aged 25 and older were asked if they had experienced acute upper or lower respiratory tract infections, acute otitis media, urinary tract infections or gastro-enteritis in the two previous months. If so, participants were asked whether they had consulted their general practitioner and if they had been unable to perform their normal daily activities. These outcomes were analyzed per highest attained level of education. RESULTS: Data of 18 629 survey respondents were used in the analyses. People with a low educational level had lower odds of upper respiratory tract infections (OR 0.88, 95% CI 0.81-0.95), but higher odds of lower respiratory tract infections (OR 1.57, 95% CI 1.16-2.11). After adjustment for several covariates, the differences in upper respiratory tract infections remained statistically significant (aOR 0.84, 95% CI 0.77-0.91). The educational differences in lower respiratory tract infections were mitigated by adjusting for chronic diseases and health behaviours. For all infectious diseases, the likelihood of general practitioner consultation was highest for the lower educated group. Inability to work or perform normal daily activities due to an infectious disease was similar across all levels of education. CONCLUSION: This study shows that educational differences in incidence and care seeking behaviours exist for common acute infectious diseases in the Netherlands.


Subject(s)
Communicable Diseases , Respiratory Tract Infections , Adult , Communicable Diseases/epidemiology , Cross-Sectional Studies , Health Surveys , Humans , Netherlands/epidemiology , Respiratory Tract Infections/epidemiology
2.
PLoS One ; 10(7): e0134650, 2015.
Article in English | MEDLINE | ID: mdl-26225435

ABSTRACT

[This corrects the article DOI: 10.1371/journal.pone.0125083.].

3.
PLoS One ; 10(5): e0125083, 2015.
Article in English | MEDLINE | ID: mdl-25933361

ABSTRACT

BACKGROUND: Health related quality of life is the functional effect of a medical condition and/or its therapy upon a patient, and as such is particularly suitable for describing the general health of children. The objective of this study was to identify and confirm potential determinants of health-related quality of life in children aged 4-11 years in the general population in the Netherlands. Understanding such determinants may provide insights into more targeted public health policy. METHODS: As part of a population based cross sectional study, the Child Health Questionnaire (CHQ) Parental Form 28 was used to measure health-related quality of life in school-aged children in a general population sample. Parents of 10,651 children aged 4-11 years were interviewed from January 2001 to December 2009. RESULTS: Multivariate and regression analyses demonstrated a declined CHQ Physical Summary score for children who had >1 conditions, disorders or acute health complaints and who were greater consumers of healthcare; children with a non-western immigrant background; and children whose parents did not work. Lower CHQ Psychosocial Summary score was reported for children who had >1 conditions, disorders or acute health complaints, boys, children of single parents and obese children. CONCLUSION: The best predictors of health-related quality of life are variables that describe use of health care and the number of disorders and health complaints. Nonetheless, a number of demographic, socio-economic and family/environmental determinants contribute to a child's health-related quality of life as well.


Subject(s)
Health , Quality of Life , Schools/statistics & numerical data , Child , Child, Preschool , Female , Humans , Male , Multivariate Analysis , Netherlands/epidemiology , Regression Analysis , Surveys and Questionnaires
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