Associations of traffic noise with self-rated health and psychotropic medication use

Halonen, Jaana I.; Lanki, Timo; Yli‐Tuomi, Tarja; Turunen, Anu W.; Pentti, Jaana; Kivimäki, Mika; Vahtera, Jussi

doi:10.5271/sjweh.3408

Cited by 34 publications

(33 citation statements)

References 30 publications

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“…Another research deployed by Halonen et al . () in Finland noted down that road traffic noise is a general environmental inconvenience and it has been known to spread the danger of many kinds of health issues. Their work analysed whether transportation noise is correlated with self‐assessed health, the outcomes indicating that noise level over 60 decibels was connected to poor self‐assessed health for male respondents with no relationship being determined among female respondents.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

A Social Systems Approach to Self‐assessed Health and Its Determinants in the Digital Era

et al. 2018

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Placing self-assessed health (SAH) and its determinants within a social systems framework, the current paper aims to investigate the influences of individual characteristics, environmental and socio-economic factors on the way people rate their own health. The multiplexity and dynamics of social structures are examined through the lens of the digital era, which exerts a substantive impact on the individuals' appraisal of reality and capacity of adjusting to the unfolding of the world. Thus, given the digital-centric environment contextualizing the activity of white-collar workers, the study scrutinizes SAH and its determinants based on over 54 000 observations. The findings support the inferred relationships, supporting that SAH is determined by multifield variables to a great extent.

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Section: Theoretical Backgroundmentioning

confidence: 99%

A Social Systems Approach to Self‐assessed Health and Its Determinants in the Digital Era

et al. 2018

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“…For instance, sleep medication use may be an indicator of sleeping problems. Previous studies in the field of environmental epidemiology have used various medications as the outcome including antihypertensives, antiasthmatics, and psychotropic medications including sleep medications and anxiolytics . In these studies, the medication use has either been self‐reported or drawn from a prescription registry.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies in the field of environmental epidemiology have used various medications as the outcome including antihypertensives, [2][3][4] antiasthmatics, 3 and psychotropic medications including sleep medications and anxiolytics. [3][4][5][6][7][8] In these studies, the medication use has either been self-reported or drawn from a prescription registry. Self-reported medication use has typically been collected via postal questionnaires or phone interviews.…”

Section: Introductionmentioning

confidence: 99%

Agreement between self‐reported and registry‐based use of sleep medications and tranquilizers

Evandt

Oftedal

Krog

et al. 2019

Pharmacoepidemiology and Drug

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Purpose The purpose of the present study was to assess the agreement between self‐reported use of sleep medications and tranquilizers and dispensed hypnotics and anxiolytics. Methods Self‐reported medication use was obtained from the population‐based survey Health and Environment in Oslo (HELMILO) (2009‐2010) (n = 13 019). Data on dispensed hypnotics and anxiolytics were obtained from the Norwegian Prescription Database (NorPD). As measures of validity, we calculated sensitivity and specificity using both self‐reports and prescription records as the reference standard. Furthermore, we calculated Cohen's kappa. Current self‐reported medication use was compared with prescription data in time windows of both 100 and 200 days preceding questionnaire completion. Results The highest sensitivity was observed for current sleep medication use in the 100‐day time window (sensitivity = 0.76, 95% confidence interval [CI]: 0.74, 0.79) when using prescription records as the reference standard. Sensitivity was generally lower for tranquilizers compared with sleep medications. Cohen's kappa showed the highest agreement for the 200‐day time window with substantial agreement for sleep medications (kappa = 0.64; 95% CI: 0.62, 0.67) and moderate agreement for tranquilizers (kappa = 0.45; 95% CI: 0.41, 0.48). Conclusions The present study suggests moderate to substantial agreement between self‐reported use of sleep medications and tranquilizers and dispensed drugs in a general adult population. The magnitude of agreement varied according to drug category and time window. Since self‐reported and registry‐based use of these drug classes does not match each other accurately, limitations of each data source should be considered when such medications are applied as the exposure or outcome in epidemiologic studies.

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“…Although there are strong indications of an association between traffic noise and sleep disturbances, studies on the association between road traffic noise and sleep medication use are scarce. In previous studies of noise and sleep medication use, the medication use has either been reported subjectively [ 10 , 18 , 19 ] or been drawn from a registry recording individual purchase of medications [ 20 , 21 ]. The registry based studies have, however, not exclusively studied sleep medication use, but have also included other types of medication such as antidepressants and anxiolytics.…”

Section: Introductionmentioning

confidence: 99%

Road traffic noise and registry based use of sleep medication

et al. 2017

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BackgroundRoad traffic noise has been associated with adverse health effects including sleep disturbances. Use of sleep medication as an indicator of sleeping problems has rarely been explored in studies of the effects of traffic noise. Furthermore, using registry data on sleep medications provides an opportunity to study the effects of noise on sleep where attribution of sleep problems to noise is not possible.MethodsWe used questionnaire data from the population-based study Health and Environment in Oslo (HELMILO) (2009–10) (n = 13,019). Individual data on sleep medications was obtained from the Norwegian Prescription Database (NorPD). Noise levels (L night) were modeled for the most exposed façade of the building at each participant’s home address. Logistic regression models adjusted for potential confounders were used to analyze the association between traffic noise and sleep medication use both for one whole year and for the summer season. The results were reported as changes in the effect estimate per 5 decibel (dB) increase in noise level.ResultsWe observed no association between traffic noise and sleep medication use during one year [odds ratio (OR) = 1.00; 95% confidence interval (CI): 0.96, 1.04]. For sleep medication use in the summer season, there was a positive, however non-significant association (OR = 1.04; 95% CI: 0.99, 1.10). Among individuals sleeping with the bedroom window open, the association increased slightly and was borderline statistically significant (OR = 1.06; 95% CI: 1.00, 1.12).ConclusionsWe found no evidence of an association between traffic noise and sleep medication use during one year. However, for the summer season, there was some suggestive evidence of an association. These findings indicate that season may play a role in the association between traffic noise and sleep, possibly because indoor traffic noise levels are likely to be higher during summer due to more frequent window opening. More studies are, however, necessary in order to confirm this.Electronic supplementary materialThe online version of this article (10.1186/s12940-017-0330-5) contains supplementary material, which is available to authorized users.

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Associations of traffic noise with self-rated health and psychotropic medication use

Cited by 34 publications

References 30 publications

A Social Systems Approach to Self‐assessed Health and Its Determinants in the Digital Era

A Social Systems Approach to Self‐assessed Health and Its Determinants in the Digital Era

Agreement between self‐reported and registry‐based use of sleep medications and tranquilizers

Road traffic noise and registry based use of sleep medication

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