A, Presentation of the choroidal thickness with an Early Treatment Diabetic Retinopathy Study grid. B, Segmentation of choroid in an individual who had no exposure to secondhand smoking. C, Segmentation of choroid in an individual who had exposure to secondhand smoking.
eFigure. The position and degree of influence of choroidal thickness affected by second-hand smoke between smoking non-exposure and smoking exposure group
eTable 1. Association between Central subfield choroidal thickness and its potential determinants
eTable 2. Associations between axial length and choroidal thickness in each sector
eTable 3. Comparison between included and excluded subjects
eTable 4. Reliability with inter grader and intra grader (5% of subjects N=70)
eTable 5. Associations between exposure in smoking and choroidal thickness (exclude those pregnant smoking subjects N=14)
eTable 6. Association between choroidal thickness and the number of smokers in family
eTable 7. Association between choroidal thickness and each secondhand smoking
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Yuan N, Li J, Tang S, et al. Association of Secondhand Smoking Exposure With Choroidal Thinning in Children Aged 6 to 8 Years: The Hong Kong Children Eye Study. JAMA Ophthalmol. 2019;137(12):1406–1414. doi:10.1001/jamaophthalmol.2019.4178
Is there an association between secondhand smoking and choroidal thickness in children?
In this cross-sectional study of 1400 Hong Kong children, choroidal thickness was associated with the number of smokers and quantity of smoking in the family.
The data provide information to suggest that exposure to secondhand smoking in children is associated with choroidal thinning along a dose-dependent effect; avoidance of cigarette smoking in living environments of children should be advocated.
Secondhand smoking is a risk to adult ocular health, but its effect on children’s ocular development is not known.
To assess the association between choroidal thickness and secondhand smoking exposure in children.
Design, Setting, and Participants
Children aged 6 to 8 years were consecutively recruited from January 2016 to July 2017 from the population-based Hong Kong Children Eye Study at the Chinese University of Hong Kong Eye Centre. All participants underwent detailed ophthalmic investigations. Choroidal thickness was measured by swept-source optical coherence tomography, with built-in software that automatically segmented the choroid layer to analyze its terrain imagery. History of secondhand smoking was obtained from a questionnaire. Multiple linear regression analyses were performed to assess the correlation between choroidal thickness and secondhand exposure when controlling for confounding factors. Analysis began July 2018 and ended in April 2019.
Main Outcomes and Measurements
The association between children’s choroidal thickness and their exposure to secondhand smoking.
Of 1400 children, 941 (67.2%) had no exposure to secondhand smoking, and 459 (32.8%) had exposure to secondhand smoking. The mean (SD) age was 7.65 (1.09) years for children in the nonexposure group and 7.54 (1.11) years for children in the exposure group. After adjustment for age, sex, body mass index, axial length, and birth weight, exposure to secondhand smoking was associated with a thinner choroid by 8.3 μm in the central subfield, 7.2 μm in the inner inferior, 6.4 μm in the outer inferior, 6.4 μm in the inner temporal, and 7.3 μm in the outer temporal. Choroidal thinning with also associated with increased number of family smokers and increased quantity of secondhand smoking. An increase of 1 family smoker was associated with choroidal thinning by 7.86 μm in the central subfield, 4.51 μm in the outer superior, 6.23 μm in the inner inferior, 5.59 μm in the outer inferior, 6.06 μm in the inner nasal, and 6.55 μm in the outer nasal. An increase of exposure to 1 secondhand cigarette smoke per day was associated with choroidal thinning by 0.54 μm in the central subfield, 0.42 μm in the inner temporal, and 0.47 μm in the outer temporal.
Conclusions and Relevance
This investigation showed that exposure to secondhand smoking in children was associated with choroidal thinning along with a dose-dependent effect. These results support evidence regarding the potential hazards of secondhand smoking to children.
Cigarette smoking is an important risk factor of systemic and ocular vascular diseases and poses a threat to public health globally.1,2 It may impose pathologic effects by causing anatomical alterations of the arterial system in thickening the arterial wall as in atherosclerosis and affecting both the microvascular and macrovascular structures.3 It is a potent risk factor of cardiovascular diseases with high mortalities, such as myocardial infarction,4 and serious lung diseases, such as chronic obstructive pulmonary disease and lung cancer.5 Notably, cigarette smoking is also associated with many eye diseases,6,7 including age-related macular degeneration (AMD),8 cataracts,9 retinal ischemia,6 anterior ischemic optic neuropathy,10 Graves ophthalmopathy,11 tobacco-alcohol amblyopia,12 glaucoma,13 and ocular inflammation.6
Secondhand smoking also imposes health hazards and has been associated with serious diseases, including lung cancer,14 asthma,15 cardiovascular diseases,16 and sudden infant death syndrome.17 Among young people in Spain, 27.8% and 33.6% were exposed to secondhand smoke at home and outside, respectively.18 They have 2- to 6-times higher risk of many diseases compared with people who never smoke or were not exposed to secondhand smoking.12 A 2018 national survey in the United States reported that up to 25.2% of the population has been exposed to secondhand smoking and, alarmingly, 37.9% in children aged 3 to 11 years and teenagers 12 to 19 years had exposure.19 In 2006, there were 42 000 deaths attributed to secondhand smoking in the United States; among them, 900 were infants younger than 1 year.20 Combining 192 countries from all parts of the world, as high as 28% of deaths in children and morbidity of 1% of the total population are due to secondhand smoking. Therefore, secondhand smoking remains a global health threat in children.21
Association of secondhand smoking has also been reported for eye diseases of variable pathology and affecting different parts of the eye, including cataracts,12 AMD,22 and Graves ophthalmopathy.12 There are choroidal changes in active smokers.23 Smoking-associated choroidal changes were linked with the development of AMD.23,24 Nearly 90% of ocular artery blood flow comes from the choroid layer. Its primary functions are to supply oxygen and nutrients to the outer retina and to regulate temperature and intraocular pressure.25 In Europe, maternal secondhand smoking or pregnancy smoking is linked to low birth weight, preterm birth, and hospital admissions due to asthma; the latter 2 conditions improved significantly after smoke-free legislation.26 So far, however, the effect of secondhand smoking on children’s ocular development is not known. We hypothesize that secondhand smoking may affect the choroid from early childhood, similar to direct smoking in adults. Long-term exposure may lead to ocular complications. In view of its potentially serious consequences in children and the vulnerability of the choroid to the development of eye diseases, we investigate the association of secondhand smoking with choroidal thickness in school-aged children in the population-based Hong Kong Children Eye Study.
All the school-aged children who were recruited from the Hong Kong Children Eye Study underwent comprehensive ophthalmic examination and physical examination. They were aged 6 to 8 years. Their parents or legal guardians were given a standardized questionnaire.27,28 The study procedure was performed with adherence to the Declaration of Helsinki.29 The protocol was approved by the Ethic Committee Board of the Chinese University of Hong Kong. Written informed consent was obtained from all children and their legal guardians. All the participants understood the study procedures. The exclusion criteria included having prior eye trauma, congenital malformations, ocular diseases (except myopia and hypermetropia), history of ocular surgery, and/or incapability to complete optical coherence tomography or other optical examination. The study individuals were recruited consecutively from January 2016 to July 2017 at the Chinese University of Hong Kong Eye Centre. Only right eyes were included for analysis in this study. Analysis began July 2018 and ended in April 2019.
A logMAR chart (Nidek) was used to measure visual acuity with or without spectacles. Complete ocular examinations including anterior segment, posterior segment, and ocular motility examinations for each individual were conducted by trained ophthalmologists (J.C.Y. and L.J.C.). Refraction was measured before and after cycloplegia by autorefractor (Nidek ARK-510A). Cycloplegia was performed by 2 cycles of cyclopentolate, 1% (Alcon), and tropicamide, 1% (Santen), which were applied 10 minutes apart. Axial length was evaluated by an intraocular lens master (Carl Zeiss Meditec). Blood pressure was measured with a digital automatic blood pressure monitor (Spacelabs Medical). Height and weight were measured using a professional integrated set (Seca). Body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared.
Swept-source optical coherence tomography (Triton DRI OCT; Topcon) was used for choroidal imaging (Figure). A 1050-nm wavelength light source was used at a scanning speed of 100 000 A-scans per second to investigate the deep layers of choroid. A 12-line radial scan pattern with a resolution of 1059 × 400 was also used. Each image was an average of 32 overlapped consecutive scans focused on the fovea, covering an area of 12 × 9 mm. A built-in software was used to segment the choroid layers and to construct the topographic map. All images were inspected and manually corrected by 2 trained researchers (N.Y. and J.L.) to ensure an accurate automated segmentation. Choroidal thickness was defined as the distance between the outer border of the retinal pigment epithelium and the inner border of the sclera.30 Choroidal thickness map was presented by using the Early Treatment Diabetic Retinopathy Study grid. The mean regional thickness was calculated for each of the 9 sectors in the grid.31 The diameters for central foveal circle, parafoveal circle, and perifoveal circle were 1 mm, 3 mm, and 6 mm, respectively. Intragrader and intergrader reliability was assessed. A subset of images was randomly selected and independently measured by 2 graders (N.Y. and F.F.L.).32
Questionnaires were administered to parents or legal guardians for their completion with assistance by a trained staff in presence or on the telephone.27,28 Smoking habits of parents and other family members were obtained through the following questions: (1) Is the mother smoking at home after the child is born? How long does she smoke and how many cigarettes a day? (2) Is the father smoking at home after the child is born? How long does he smoke and how many cigarettes a day? (3) Do the other members of the family smoke at home after the child is born? How long does he or she smoke and how many cigarettes a day? Number of cigarettes smoked per day was documented. Information about daily living including living environment, children’s lifestyle, and children’s time spent in outdoor activities and near work was also obtained. Parents’ medical conditions, including mother’s obstetric history, child’s birth history, past and current medical history, and a thorough family history of eye disorders, were also recorded.
Quiz Ref IDThe association of children’s choroidal thickness with exposure of secondhand smoking was investigated by 3 approaches: (1) comparison of choroidal thickness between secondhand smoking exposure group vs nonexposure group; (2) association of choroidal thickness with number of family smokers; and (3) association of choroidal thickness with quantity of family smoking. Quantity was measured as the total number of cigarettes for all smokers in a family per day.
Statistical analyses were performed with SPSS, version 22 (SPSS Inc). Continuous parameter was presented as mean (SD). Medians and interquartile ranges were calculated for skewed distributions. Comparisons of the parameters between smoking nonexposure and smoking exposure were performed with independent t test. χ2 Test and Fisher exact test were used to test the group difference in categorical data. Linear regression and bivariate (Pearson) correlation test were used for continuous variable and categorical data to test the association between potential confounders and central subfield choroidal thickness. Analysis of covariance was used to estimate mean choroidal thickness in associations with secondhand smoking exposure. For each choroidal thickness parameter, 2 multivariable models were constructed. In model 1, age and sex, which are known determinants of choroidal thickness,33,34 were included to serve as a basic model with minimal adjustment. In model 2, as many potential confounders as possible were included for comprehensive adjustment. First, we conducted a univariate analysis of all potential factors with choroidal thickness (eTable 1 in the Supplement). Axial length was found to be a determinant and was therefore included in model 2. Second, we included other factors that have a reported association with choroidal thickness. Therefore, birth weight and BMI were also included although they were not found significant in eTable 1 in the Supplement.35,36 Furthermore, we tested for trend by treating number of smokers (nonsmoker, 1 smoker, ≥2 smokers) as a continuous ordinal variable. We also tested for trend by treating quantity of smoking per day (nonsmoker, ≤10 cigarettes per day, >10 cigarettes per day) as a continuous ordinal variable. In all statistical analyses, the mean and sectoral choroidal thickness were compared between exposed and nonexposed secondhand smoke. Reliability was assessed using the intraclass correlation coefficient. The 2-sided P value less than .05 was considered statistically significant.
Overall, 1720 Chinese children were recruited for the ophthalmic investigations, and 320 children were excluded because of poor quality of optical coherence tomography images or because they could not complete the ophthalmic examinations. Of 1400 children who completed the examinations successfully and were included for analysis, 941 (67.2%) whose parents and other family members did not smoke were categorized into the nonexposure group and 459 (32.8%) who had at least 1 family member who was a smoker were categorized into the secondhand smoking exposure group. The mean (SD) age was 7.65 (1.09) years for children without exposure and 7.54 (1.11) years for children with exposure. Demographics of the individuals were summarized and compared between the smoking nonexposure group and exposure group in Table 1. Associations of central subfield choroidal thickness and its potential determinants were summarized in eTable 1 in the Supplement. In addition, the associations of axial length and choroidal thickness in each sector were evaluated. Of note, every 1-mm increase in axial length was associated with 18.24-μm thinning in central choroidal subfield (β = −18.24; 95% CI, −21.43 to −14.96; P < .001) (eTable 2 in the Supplement). Furthermore, demographics of excluded and included individuals were similar (eTable 3 in the Supplement). Both intragrader and intergrader reliability were high with intraclass correlation coefficient of 0.78 or greater (eTable 4 in the Supplement).
Quiz Ref IDIn the exposure group, children’s choroidal thickness was 6 μm to 8 μm thinner compared with the nonexposure group at some sectors (central subfield, inner inferior, outer inferior, inner temporal, and outer temporal) after adjusting for age, BMI, axial length, birth weight, and sex (Table 2 and eFigure in the Supplement). In addition, among 1400 children in this study, 14 children (1%) had in utero exposure to maternal smoking. We conducted a sensitivity analysis to examine the association between exposure in smoking after excluding these 14 individuals with prior in utero exposure (eTable 5 in the Supplement). The results were largely similar to our primary results.
The study individuals were further categorized according to the number of smokers in the family. Children’s choroidal thickness was negatively correlated with the number of family smokers, ie, children with more family smokers had thinner choroids (Table 3). For an increase of 1 family smoker, children’s choroid was associated with a thinning by 7.86 μm in the central subfield, 4.51 μm in the outer superior, 6.23 μm in the inner inferior, 5.59 μm in the outer inferior, 6.06 μm in the inner nasal, and 6.55 μm in the outer nasal (eTable 6 in the Supplement).
Furthermore, the study individuals were also categorized according to the quantity of cigarettes smoked of all smokers in a family per day. Children’s choroidal thickness were negatively associated with quantity of family smoking in most sectors, ie, the larger quantity of family smoking, the thinner of children’s choroid (Table 4). An increase of exposure to 1 secondhand cigarette smoker per day was associated with a reduction of choroid by 0.54 μm in the central subfield, 0.42 μm in the inner temporal, and 0.47 μm in the outer temporal (eTable 7 in the Supplement).
Quiz Ref IDThis population-based study provides evidence that secondhand smoking was associated with thinner choroid in children aged 6 to 8 years after adjustment for age, sex, BMI, axial length, and birth weight. The affected sectors were central subfield, inner inferior, outer inferior, inner temporal, and outer temporal. In addition, we observed that more family smokers and larger quantity of family members smoking were associated with thinner choroidal thickness in most choroidal regions. A dose-dependent association of children’s exposure to secondhand smoking with their choroidal thinning is therefore evident. There is a tangible impact of cigarette smoking on the ocular conditions of the next generation in a family. In Hong Kong, smoking in public areas has been banned since January 1, 2007.37 Therefore, children’s exposure to smoking is mainly from the home. The findings in this study provide further support regarding education of the public to avoid smoking around children.
Our study evaluated the association between children’s exposure to secondhand smoking and their choroidal thickness. A 2013 study found that there was choroidal thinning from 301.1 μm to 270.8 μm at 3 hours after active smoking in 34 healthy adults.38 Another study reported significant choroidal thinning from 337 μm to 311 μm 1 hour after oral nicotine administration in 32 healthy adults.39 Notably, in a study of an adult Greek population of 31 smokers who smoked longer than 25 years and 25 nonsmokers, long-term smokers had thinner subfoveal choroidal thickness (mean [SD], 229.1 [10.2] μm in smokers vs 257.0 [23.4] μm in nonsmokers) and around 20 μm to 30 μm thinner in the inner, outer nasal, temporal, superior, and inferior quadrants.40 Of note, choroidal thinning leads to ophthalmic diseases, including macular holes and AMD.23 In a group of 147 white patients with AMD older than 65 years, a history of smoking was associated with choroidal thinning (mean [SD], 148  μm in the smoker group vs 181  μm in the nonsmoker group).23 A strong correlation between increased pack-years and choroidal neovascularization in fellow eyes was also found, indicating a dose-dependent increased risk of late AMD in smokers and that choroidal thinning may be an early sign of AMD.23
Results in this present study suggest that exposure to secondhand smoking in children can affect the choroid thickness with a dose-dependent effect, but the associations did not prove it is a causative effect. There can be other confounding factors. Of note, the thinning effect in children is on average 6 μm to 8 μm, which is relatively small compared with those thinning in long-term smokers in adults. First, this may be due to the relatively smaller effect from secondhand smoking. Second, choroidal thinning in adults may take time to develop. It is possible that long-term exposure to secondhand smoking will lead to progressive choroidal thinning from childhood. Whether the choroidal thinning association no longer is apparent after abstinence from exposure of secondhand smoking also could be investigated.
Choroidal thinning from exposure to smoking may be associated with disruptive choroidal blood flow.23,38,39,41-43 As a highly vascular ocular structure, the choroid is directly affected by hemodynamic changes.23 Harmful substances produced by cigarette smoking could impair choroidal circulation and decrease perfusion. Smoking products include nicotine, carbon monoxide, carbon dioxide, and nitric oxide.42,43 Nicotine alters choroidal blood flow and perfusion by causing long-term and systemic vasoconstriction.23,44 Inhaled carbon monoxide caused systemic hemodynamic effect.45 Chronic vasoconstriction, coupled with direct oxidative damage to the endothelium, could lead to vascular dropout. In long-term smokers, abnormal choroidal vascular reactivity to carbogen inhalation leads to impaired endothelium cell function, vasoconstriction, and altered endothelial response.40
The strength of our study includes population-based design with relatively large sample size. Furthermore, swept-source optical coherence tomography, which uses a longer beam wavelength with less signal noise and deeper sweep depth, provides better visualization of choroidal layer.
Quiz Ref IDThere are a few limitations in our study. First, this is a cross-sectional study, and our findings only suggested an association and not a causative relationship. Our findings have to be replicated in further studies. Longitudinal studies are also warranted. Second, smoking status in our study was documented by questionnaires, which are prone to recall bias and inaccuracy. Urinary cotinine measurement should provide objective and solid evidence.27 Third, we had to exclude a certain number of eyes with poor image quality and missing data (18.6%), which may have introduced selection bias and limited the generalizability of results. Nevertheless, we did not find any statistically significant differences in demographics between included and excluded individuals (eTable 3 in the Supplement). Fourth, the adjusted R2 in our models were weak, suggesting that other residual confounding factors could have biased or modified the associations observed in our sample. Of note, the strength of association of choroidal thickness with secondhand smoking was stronger in model 2 than model 1, suggesting the association was affected more by additional factors including axial length, birth weight, and BMI. Moreover, results of the study were exploratory. Confirmatory studies are necessary to evaluate the findings that were considered statistically significant.
Fifth, we found the choroidal thinning only in some sectors, including central subfield, temporal, and nasal region, but not the overall mean difference. This further suggested the association is rather weak, and thus the mean difference could not reach significance. On the other hand, the exact mechanism on why only some sectors were affected needs further investigations, while it is noted that the central subfield has been consistently demonstrated to be affected in the adult direct smoking.23 Sixth, our measurements of choroidal thickness involved manual correction, which may introduce potential bias, although our reliability assessment showed that both intragrader and intergrader reliability were high with intraclass correlation coefficient of 0.78 or more.
In summary, we have shown an association of secondhand smoke to thinning of choroidal thickness by 6 μm to 8 μm among children exposed to secondhand smoking at home in Hong Kong. The thinning was associated with the number of smokers in the family and the quantity of smoking, suggesting a dose-dependent relationship. While it is unknown if there is a casual relationship from this association or if this is due to confounding factors, these findings add to the potential harmful effect of secondhand smoking on children’s ocular health and development.
Corresponding Author: Jason C. Yam, FRCSEd, Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, 4th Floor, Hong Kong Eye Hospital, 147K Argyle St, Kowloon, Hong Kong (firstname.lastname@example.org).
Accepted for Publication: August 25, 2019.
Published Online: October 17, 2019. doi:10.1001/jamaophthalmol.2019.4178
Author Contributions: Dr Yam had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Mr Yuan and Dr Li are co–first authors and contributed equally to this work.
Concept and design: Yuan, J. Li, Tang, Tham, Pang, Chen, Yam.
Acquisition, analysis, or interpretation of data: Yuan, J. Li, Tang, F. Li, Lee, Ng, Cheung, Tham, Chen, Yam.
Drafting of the manuscript: Yuan, J. Li, Tham.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Yuan, J. Li, Tang, Cheung, Yam.
Obtained funding: Tham, Pang, Yam.
Administrative, technical, or material support: J. Li, Tang, F. Li, Ng, Tham, Chen, Yam.
Supervision: Tang, Cheung, Tham, Chen, Yam.
Conflict of Interest Disclosures: Prof Tham reports consultant fees from Alcon Laboratories, Allergan, Bausch + Lomb, IOPtima, Merck, Pfizer, Santen Pharmaceutical, Sensimed, and C-MER Eye Care Holdings; nonfinancial support for serving expert testimony; grants from Aeon Astron, Alcon Laboratories, AMO Asia, Icare Finland, Pfizer, Santen Pharmaceutical, and Sensimed; lecture fees from Alcon Laboratories, Allergan, Merck, Pfizer, and Santen Pharmaceutical; and meeting fees from Alcon Laboratories, Allergan, Merck, Pfizer, and Santen Pharmaceutical outside the submitted work. No other disclosures were reported.
Funding/Support: The study was supported in part by Chinese University of Hong Kong Jockey Club Children Eye Care Programme; the General Research Fund; Research Grants Council, Hong Kong (14111515; Dr Yam); UBS Optimus Foundation (grant 8984; Dr Yam) and the direct grants of the Chinese University of Hong Kong (grants 4054121 and 4054199; Dr Yam).
Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Additional Contributions: We thank the children who participated in our study and the families who gave them support in the Hong Kong Children Eye Study.
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