多环芳烃暴露与饮酒影响非吸烟人群心理健康状况的交互作用

谭黎娜; 刘绍慧; 经嘉俊; 胡秋华; 彭阳; 张丽娥; 马小莉; 黄海峰; 邹云锋; 王明军

doi:10.16462/j.cnki.zhjbkz.2023.05.007

多环芳烃暴露与饮酒影响非吸烟人群心理健康状况的交互作用

doi: 10.16462/j.cnki.zhjbkz.2023.05.007

谭黎娜^{1, 3},
刘绍慧^{2, 3},
经嘉俊^{2, 3},
胡秋华^{1, 3},
彭阳^{2, 3},
张丽娥^{2, 3},
马小莉^{2, 3},
黄海峰^{1, 2},
邹云锋^{2, 3},
王明军^{3, 4, ,}

1.
530021 南宁，广西医科大学第一临床医学院
2.
530021 南宁，广西医科大学广西高校高发疾病预防与控制研究重点实验室，广西医科大学广西环境与健康研究重点实验室
3.
530021 南宁，广西医科大学公共卫生学院卫生毒理学教研室与环境卫生学教研室
4.
530021 南宁，广西医科大学第一附属医院肾内科

基金项目:

广西自然科学基金 2019GXNSFGA245002

详细信息

通讯作者:
王明军，E-mail: wmjwyy2002@163.com

中图分类号: R122.7
计量
- 文章访问数: 168
- HTML全文浏览量: 143
- PDF下载量: 33
- 被引次数: 0
出版历程
- 收稿日期: 2022-09-25
- 修回日期: 2023-01-15
- 刊出日期: 2023-05-10

Interaction between polycyclic aromatic hydrocarbons exposure and alcohol consumption: effects on mental health status in non-smokers

TAN Lina^{1, 3},
LIU Shaohui^{2, 3},
JING Jiajun^{2, 3},
HU Qiuhua^{1, 3},
PENG Yang^{2, 3},
ZHANG Li'e^{2, 3},
MA Xiaoli^{2, 3},
HHUANG Haifeng^{1, 2},
ZOU Yunfeng^{2, 3},
WANG Mingjun^{3, 4
, ,}

1.
The First Clinical Medical College of Guangxi Medical University, Nanning 530021, China
2.
Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning 530021, China
3.
Department of Health Toxicology and Department of Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China
4.
Department of Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China

Funds:

Guangxi Natural Science Foundation 2019GXNSFGA245002

More Information

Corresponding author: WANG Mingjun, E-mail: wmjwyy2002@163.com

摘要

摘要: 目的探讨多环芳烃(polycyclic aromatic hydrocarbons, PAHs)暴露与饮酒影响非吸烟人群心理健康的独立与交互作用。方法本研究对513名广西壮族自治区(简称广西)某大型企业非主动吸烟员工进行问卷调查、心理健康评估。使用一般心理健康问卷量表评估研究对象心理健康状况；尿中羟基多环芳烃(hydroxypolycyclic aromatic hydrocarbons, OH-PAHs)水平作为PAHs的内暴露指标；采用logistic回归分析模型和广义线性模型分析PAHs与饮酒的独立和交互作用对心理健康状况的影响。结果本组研究对象年龄为(39.60±6.60)岁，44.2%的职工饮酒，饮酒者多为未婚、男性、有二手烟暴露(均有P < 0.05)。logistic回归分析模型结果显示，总体研究对象尿液1-羟基萘(1-hydroxynaphthalene, 1-OHNAP)和总羟基萘(total hydroxynaphthalene, ∑OHNAPs)浓度增加会引起人群心理健康状况不良的发生风险增高(OR=1.23, 95% CI：1.01~1.49；OR=1.10，95% CI：1.00~1.21；均有P < 0.05)。交互分析结果显示，与不饮酒组及低水平尿OH-PAHs相比，尿中1-OHNAP、2-羟基萘(2-hydroxynaphthalene, 2-OHNAP)、∑OHNAPs和总羟基多环芳烃(total hydroxypolycyclic aromatic hydrocarbons, ∑OHPAHs)浓度与饮酒的交互作用增加中老年人发生心理健康状况不良的风险(OR=3.91, 95% CI: 1.01~15.11; OR=3.69, 95% CI: 1.05~12.98; OR=1.96, 95% CI: 1.01~3.80; OR=1.73, 95% CI: 1.06~2.93；均有P_int＜0.05)。结论 PAHs暴露是非吸烟人群心理健康状况不良的危险因素，并且饮酒会增加PAHs对非吸烟中老年人不良心理健康状况的发生风险。
- 多环芳烃 /
- 饮酒 /
- 心理健康 /
- 12项一般健康问卷 /
- 交互作用 /
- 非吸烟人群
Abstract: Objective To explore the effects of polycyclic aromatic hydrocarbons (PAHs) exposure and its interaction with alcohol consumption on the mental health of non-smokers. Methods A questionnaire survey and mental health assessment were conducted among 513 non-active smokers in a large enterprise in Guangxi. The general mental health questionnaire was used to evaluate the mental health status of the subjects. Urinary hydroxypolycyclic aromatic hydrocarbons (OH-PAHs) levels were employed as an indicator of internal exposure to PAHs. Logistic regression model and generalized linear model were employed to analyze effects of PAHs exposure and its interaction with alcohol consumption on mental health status. Results The average age of the subjects in this study was (39.60±6.60) years old. 44.2% of the subjects were drinkers, with most being unmarried, male, and exposed to secondhand smoke (P < 0.05). Logistic regression analysis showed that the increase of urine concentration of 1-hydroxynaphthalene (1-OHNAP) and total hydroxynaphthalene (∑OHNAPs) was associated with the risk of poor mental health (OR=1.23, 95% CI: 1.01-1.49; OR=1.10, 95% CI: 1.00-1.21; all P < 0.05). Interaction analysis showed that compared with non-drinking and low level OH-PAHs group, the concentration of 1-OHNAP, 2-hydroxynaphthalene (2-OHNAP), ∑OHNAPs and total hydroxypolycyclic aromatic hydrocarbons (∑OHPAHs) in urine and alcohol consumption increased the risk of poor meatal health in middle-aged and older adults (OR=3.91, 95% CI: 1.01-15.11; OR=3.69, 95% CI: 1.05-12.98; OR=1.96, 95% CI: 1.01-3.80; OR=1.73, 95% CI: 1.06-2.93; all P_int < 0.05). Conclusions PAHs exposure is a risk factor for poor mental health in non-smoking populations, and alcohol consumption can exacerbate the risk of poor mental health in middle-aged and elderly non-smokers exposed to PAHs.
- Polycyclic aromatic hydrocarbons /
- Alcohol consumption /
- Mental health /
- 12-item General Health Questionnaire /
- Interactions /
- Non-smoking population

HTML全文

表 1 一般人口学特征比较[n(%)]

Table 1. Comparison of the sociodemographic information[n(%)]

变量	合计(N=513)	饮酒(n=227)	不饮酒(n=286)	t/x²值	P值
年龄(x±s, 岁)	39.60±6.60	39.28±6.17	39.86±6.94	0.98	0.328
年龄分组				3.53	0.060
青年	403(78.6)	187(82.4)	216(75.5)
中老年	110(21.4)	40(17.6)	70(24.5)
性别				87.00	< 0.001
男	348(67.8)	203(89.4)	145(50.7)
女	165(32.2)	24(10.6)	141(49.3)
文化程度				1.15	0.564
初中及以下	307(59.8)	130(57.3)	177(61.9)
高中及以上	200(39.0)	94(41.4)	106(37.1)
缺失	6(1.2)	3(1.3)	3(1.0)
婚姻状况				6.14	0.040
未婚	466(90.8)	199(87.7)	267(93.4)
已婚	32(6.2)	21(9.3)	11(3.8)
离异或丧偶	15(2.9)	7(3.1)	8(2.8)
民族				1.91	0.385
汉族	125(24.4)	55(24.2)	70(24.5)
壮族	329(64.1)	141(62.1)	188(65.7)
其他民族	59(11.5)	31(13.7)	28(9.8)
二手烟暴露情况				14.13	< 0.001
有	215(41.9)	116(51.1)	99(34.6)
无	298(58.1)	111(48.9)	187(65.4)

下载: 导出CSV

表 2 饮酒对心理健康状况的影响(n=513)

Table 2. Effect of alcohol consumption on mental health status (n=513)

变量	模型1		模型2		模型3
变量	OR值(95% CI)	P值	OR值(95% CI)	P值	OR值(95% CI)	P值
总人数	0.81(0.43~1.53)	0.516	1.47(0.70~3.19)	0.328	1.48(0.68~3.19)	0.322
年龄分组
青年	0.69(0.33~1.47)	0.339	1.14(0.44~2.94)	0.788	1.11(0.43~2.87)	0.823
中老年	1.19(0.35~4.07)	0.781	2.20(0.48~10.02)	0.307	2.55 (0.59~10.97)	0.209
注：以GHQ-12总分 3作为参照组纳入广义线性模型；模型1未调整变量；模型2调整了性别、年龄、婚姻状况、文化程度及二手烟暴露；模型3调整了性别、婚姻状况、文化程度及二手烟暴露。

下载: 导出CSV

表 3 PAHs暴露对心理健康状况的影响(n=513) ^a

Table 3. Effect of PAHs exposure on mental health status (n=513) ^a

条目	代谢物	总研究对象		青年人		中老年人
条目	代谢物	OR值(95% CI)	P值	OR值(95% CI)	P值	OR值(95% CI)	P值
GHQ-12总分	1-OHNAP	1.23(1.01~1.49)	0.042	0.86(0.48~1.55)	0.620	1.98(1.15~3.41)	0.014
	2-OHNAP	1.20(0.99~1.44)	0.058	0.85(0.48~1.49)	0.566	1.95(0.14~3.35)	0.015
	∑OHNAPs	1.10(1.00~1.21)	0.048	0.92(0.69~1.24)	0.588	1.41(1.07~1.85)	0.014
	∑OHPAHs	1.09(0.99~1.20)	0.072	0.90(0.67~1.19)	0.447	1.33(1.04~1.70)	0.026
注：^a以GHQ-12各条目得分=0及总分＜3作为参照组纳入logistic回归分析模型, 模型调整了性别、婚姻状况、文化程度及二手烟暴露。

下载: 导出CSV

表 4 PAHs暴露与饮酒交互作用对总体研究对象和不同年龄人群心理健康状况的影响^a

Table 4. Interaction effects of PAHs exposure and drinking behavior on the mental health status of total participants and age-stratified participants ^a

交互变量	总研究对象		青年人		中老年人
交互变量	OR值(95% CI)	P_int值	OR值(95% CI)	P_int值	OR值(95% CI)	P_int值
1-OHNAP+饮酒	1.25(0.90~1.74)	0.181	0.82(0.23~2.90) (0.70~3.19)	0.871	3.91(1.01~15.11)	0.048
2-OHNAP+饮酒	1.24(0.93~1.68)	0.142	0.99(0.51~1.92)	0.986	3.69(1.05~12.98)	0.042
∑OHNAPs+饮酒	1.12(0.96~1.31)	0.158	0.97(0.62~1.50)	0.879	1.96(1.01~3.80)	0.046
∑OHPAHs+饮酒	1.11(0.95~1.30)	0.259	0.95(0.58~1.54)	0.820	1.73(1.06~2.93)	0.029
注：+为交互作用；P_int为交互作用的P值; ^a以GHQ-12总分 < 3为参照组纳入广义线性模型；模型调整了性别、婚姻状况、文化程度及二手烟暴露。

下载: 导出CSV

参考文献(21)

[1]	Auerbach RP, Mortier P, Bruffaerts R, et al. Mental disorder comorbidity and suicidal thoughts and behaviors in the World Health Organization World Mental Health Surveys International College student initiative [J]. Int J Methods Psychiatr Res, 2019, 28(2): e1752. DOI: 10.1002/mpr.1752.
[2]	Jacob L, Smith L, Armstrong NC, et al. Alcohol use and mental health during COVID-19 lockdown: a cross-sectional study in a sample of UK adults [J]. Drug Alcohol Depend, 2021, 219: 108488. DOI: 10.1016/j.drugalcdep.2020.108488.
[3]	Hefner KR, Sollazzo A, Mullaney S, et al. E-cigarettes, alcohol use, and mental health: use and perceptions of e-cigarettes among college students, by alcohol use and mental health status [J]. Addict Behav, 2019, 91: 12-20. DOI: 10.1016/j.addbeh.2018.10.040.
[4]	吴念韦, 杨帆, 夏静, 等. 我国中老年人抑郁现况及其影响因素分析[J]. 四川大学学报(医学版), 2021, 52(5): 767-771. DOI: 10.12182/20210960507. Wu NW, Yang F, Xia J, et al. Analysis of the status of depression and the influencing factors in middle-aged and older adults in China [J]. J Sichuan Univ (Med Sci), 2021, 52(5): 767-771. DOI: 10.12182/20210960507.
[5]	Abed Al Ahad M, Demmȟsarar U, Sullivan F, et al. Air pollution and individuals' mental well-being in the adult population in United Kingdom: a spatial-temporal longitudinal study and the moderating effect of ethnicity [J]. PLoS One, 2022, 17(3): e0264394. DOI: 10.1371/journal.pone.0264394.
[6]	Jing JJ, Zhang LE, Lu WM, et al. Household cooking oil type and risk of oral micronucleus frequency in Chinese nonsmokers [J]. Environ Pollut, 2022, 307: 119520. DOI: 10.1016/j.envpol.2022.119520.
[7]	Kim KH, Jahan SA, Kabir E, et al. A review of airborne polycyclic aromatic hydrocarbons (PAHs) and their human health effects [J]. Environ Int, 2013, 60: 71-80. DOI: 10.1016/j.envint.2013.07.019.
[8]	Rahman HH, Niemann D, Munson-McGee SH. Association among urinary polycyclic aromatic hydrocarbons and depression: a cross-sectional study from NHANES 2015-2016 [J]. Environ Sci Pollut Res, 2022, 29(9): 13089-13097. DOI: 10.1007/s11356-021-16692-3.
[9]	王馨, 张红梅, 宋展飞, 等. 血浆脑源性神经营养因子水平在多环芳烃职业暴露与焦炉工人认知功能障碍关联中的中介效应[J]. 环境与职业医学, 2022, 39(3): 315-322. DOI: 10.11836/JEOM21370. Wang X, Zhang HM, Song ZF, et al. Mediating effect of serum BDNF level on association of occupational PAHs exposure with cognitive impairment in coke oven workers [J]. Journal of Environmental and Occupational Medicine, 2022, 39(3): 315-322. DOI: 10.11836/JEOM21370.
[10]	Lees B, Meredith LR, Kirkland AE, et al. Effect of alcohol use on the adolescent brain and behavior [J]. Pharmacol Biochem Behav, 2020, 192: 172906. DOI: 10.1016/j.pbb.2020.172906.
[11]	Saura-Moreno C, Cortés-Arcas MV, Fernández-Meseguer A, et al. Root caries analysis in working population of 35-44 years of age (Spain) [J]. Med Oral Patol Oral Cir Bucal, 2017, 22(5): e527-e535. DOI: 10.4317/medoral.21685.
[12]	Goldberg DP, Gater R, Sartorius N, et al. The validity of two versions of the GHQ in the WHO study of mental illness in general health care [J]. Psychol Med, 1997, 27(1): 191-197. DOI: 10.1017/s0033291796004242.
[13]	Montaldo L, Montaldo P, Caredda E, et al. Association between exposure to secondhand smoke and sleep bruxism in children: a randomised control study [J]. Tob Control, 2012, 21(4): 392-395. DOI: 10.1136/tobaccocontrol-2011-050217.
[14]	Chang AB, Wilson SJ, Masters IB, et al. Altered arousal response in infants exposed to cigarette smoke [J]. Arch Dis Child, 2003, 88(1): 30-33. DOI: 10.1136/adc.88.1.30.
[15]	Lin CS, Huang RJ, Duan J, et al. Polycyclic aromatic hydrocarbons from cooking emissions [J]. Sci Total Environ, 2022, 818: 151700. DOI: 10.1016/j.scitotenv.2021.151700.
[16]	Spiacci A, Vilela-Costa HH, Sant'Ana AB, et al. Panic-like escape response elicited in mice by exposure to CO₂, but not hypoxia [J]. Prog Neuro Psychopharmacol Biol Psychiatry, 2018, 81: 178-186. DOI: 10.1016/j.pnpbp.2017.10.018.
[17]	Thiankhaw K, Chattipakorn N, Chattipakorn SC. PM_2.5 exposure in association with AD-related neuropathology and cognitive outcomes [J]. Environ Pollut, 2022, 292: 118320. DOI: 10.1016/j.envpol.2021.118320.
[18]	Ji XY, Liu R, Guo JJ, et al. Olfactory bulb microglia activation mediated neuronal death in real-ambient particulate matter exposure mice with depression-like behaviors [J]. Sci Total Environ, 2022, 821: 153456. DOI: 10.1016/j.scitotenv.2022.153456.
[19]	Bors L, Tóth K, Tóth EZ, et al. Age-dependent changes at the blood-brain barrier. A comparative structural and functional study in young adult and middle aged rats [J]. Brain Res Bull, 2018, 139: 269-277. DOI: 10.1016/j.brainresbull.2018.03.001.
[20]	Goncharova ND. The HPA axis under stress and aging: individual vulnerability is associated with behavioral patterns and exposure time [J]. Bioessays, 2020, 42(9): e2000007. DOI: 10.1002/bies.202000007.
[21]	Burgess DJ, Moritz KM. Prenatal alcohol exposure and developmental programming of mental illness [J]. J Dev Orig Health Dis, 2020, 11(3): 211-221. DOI: 10.1017/S2040174420000082.