Journal of Peking University (Health Sciences) ›› 2022, Vol. 54 ›› Issue (3): 483-489. doi: 10.19723/j.issn.1671-167X.2022.03.013

Previous Articles     Next Articles

Relation of smoking status to family health and personality traits in residents aged over 18 years in China

He-wei MIN,Yi-bo WU,Xin-ying SUN*()   

  1. Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China
  • Received:2022-02-10 Online:2022-06-18 Published:2022-06-14
  • Contact: Xin-ying SUN E-mail:xysun@bjmu.edu.cn

Abstract:

Objective: To explore the relation of smoking status to family health and personality traits in residents aged over 18 years in China by binary Logistic regression analysis, to identify the psychosocial factors that influence tobacco use, and to provide evidence to predict smoking susceptibility based on personality traits and prevent smoking at individual and family levels. Methods: Residents aged over 18 years in China were selected from "the Survey of Chinese Family Health Index (2021)". General characteristic questionnaire, short-form of family health scale, 10-item big five inventory were used to collect sociodemographic information, family health function and personality traits. And the relation of smoking status to family health and personality traits were analyzed by binary Logistic regression analysis. Results: Totally 10 315 adults were collected, of whom there were 2 171 smokers. The smoking rate was 21.05%, 41.76% of the residents were male, 3.69% female, 20.03% urban, 23.77% rural, 12.60% aged between 18 and 35 years, 27.11% aged between 36 and 59 years, 34.35% aged over 60 years, and the smoking rate varied in gender, location, age, education, marital status, family types, and average household monthly income (P < 0.05). Furthermore, the scores of family health, family social and emotional health processes, family healthy lifestyle, family health resources, family external social support, agreeableness, openness, and neuroticism among smokers were lower than those of the non-smokers (P < 0.05). The results of binary Logistic regression analysis showed that the residents over 35 years old, with low educational level and divorced were the risk factors to smoking (P < 0.05), while female, unmarried, nuclear family, high scores of family social and emotional health processes and family health resources, openness, neuroticism, and agreeableness were the protective factors to smoking (P < 0.05). Conclusion: Besides gender, age, location, education, marital status, family types and average household monthly income, family health, and personality traits were also important factors influencing smoking status. Tobacco control based on personality traits and family health is essential, and more convincing research is necessary to determine the relation of tobacco use, tobacco dependence and smoking cessation to family health and personality traits.

Key words: Smoking, Family health, Personality, Surveys and questionnaires

CLC Number: 

  • R163

Table 1

General characteristics and smoking status of subjects"

Items Total, n (%) Smoking status χ2 P
Smokers, n (%) Non-smokers, n (%)
Gender 2231.911 < 0.001
  Male 4 703 (45.59) 1 964 (41.76) 2 739 (58.24)
  Female 5 612 (54.41) 207 (3.69) 5 405 (96.31)
Location 17.094 < 0.001
  Urban 7 517 (72.87) 1 506 (20.03) 6 011 (79.97)
  Rural 2 798 (27.13) 665 (23.77) 2 133 (76.23)
Age/years 426.782 < 0.001
  18-35 4 882 (47.33) 615 (12.60) 4 267 (87.40)
  36-59 4 286 (41.55) 1 162 (27.11) 3 124 (72.89)
  ≥60 1 147 (11.12) 394 (34.35) 753 (65.65)
Education level 311.760 < 0.001
  Primary school or lower 1 015 (9.84) 301 (29.66) 714 (70.34)
  Junior high school 1 224 (11.87) 391 (31.94) 833 (68.06)
  Senior high school or technical secondary school 1 598 (15.49) 467 (29.22) 1 131 (70.78)
  Junior college or higher 6 478 (62.80) 1 012 (15.62) 5 466 (84.38)
Marital status
  Married 6 226 (60.36) 1 641 (26.36) 4 585 (73.64) 356.345 < 0.001
  Unmarried 3 647 (35.36) 396 (10.86) 3 251 (89.14)
  Divorced 207 (2.01) 63 (30.43) 144 (69.57)
  Bereft of one’s spouse 235 (2.28) 71 (30.21) 164 (69.79)
Average household monthly income/yuan 8.592 0.035
  ≤1 500 970 (9.40) 231 (23.81) 739 (76.19)
  1 501-6 000 6 018 (58.34) 1 214 (20.17) 4 804 (79.83)
  6 001-12 000 2 602 (25.23) 564 (21.68) 2 038 (78.32)
  >12 000 725 (7.03) 162 (22.34) 563 (77.66)
Family types 117.356 < 0.001
  Conjugal family 1 763 (17.09) 417 (23.65) 1 346 (76.35)
  Nuclear family 5 964 (57.82) 1 061 (17.79) 4 903 (82.21)
  Stem family 1 308 (12.68) 370 (28.29) 938 (71.71)
  Joint family 354 (3.43) 95 (26.84) 259 (73.16)
  Single-parent family 379 (3.67) 80 (21.11) 299 (78.89)
  DINK family 81 (0.79) 20 (24.69) 61 (75.31)
  Households of grandparents with grandchildren 95 (0.92) 37 (38.95) 58 (61.05)
  Single-person family 214 (2.07) 47 (21.96) 167 (78.04)
  Other types of families 157 (1.52) 44 (28.03) 113 (71.97)

Table 2

Scores of Family Health Scale and Big Five Inventory among subjects*"

Scales Items Range of scores# Total, M (P25, P75) Non-smoking, M (P25, P75) Smoking, M (P25, P75) Z P
Family Health Scale 10 10-50 38.00 (33.00, 43.00) 38.00 (33.00, 43.00) 37.00 (32.00, 42.00) -5.451 < 0.001
  Family social and emotional health processes 3 2.5-12.5 10.00 (8.33, 11.67) 10.00 (8.33, 12.50) 10.00 (8.33, 11.67) -3.420 0.001
  Family healthy lifestyle 2 2.5-12.5 10.00 (8.75, 12.50) 10.00 (8.75, 12.50) 10.00 (7.50, 12.50) -3.758 < 0.001
  Family health resources 3 2.5-12.5 8.33 (7.50, 10.83) 9.17 (7.50, 10.83) 8.33 (6.67, 10.83) -4.722 < 0.001
  Family external social support 2 2.5-12.5 10.00 (7.50, 11.25) 10.00 (8.75, 11.25) 10.00 (7.50, 11.25) -4.156 0.001
Big Five Inventory
  Extraversion 2 2-10 6.00 (5.00, 7.00) 6.00 (5.00, 7.00) 6.00 (5.00, 7.00) -0.622 0.534
  Agreeableness 2 2-10 7.00 (6.00, 8.00) 7.00 (6.00, 8.00) 7.00 (6.00, 8.00) -5.309 < 0.001
  Conscientiousness 2 2-10 7.00 (6.00, 8.00) 7.00 (6.00, 8.00) 7.00 (6.00, 8.00) -0.067 0.947
  Neuroticism 2 2-10 6.00 (5.00, 6.00) 6.00 (5.00, 7.00) 6.00 (5.00, 6.00) -6.347 < 0.001
  Openness 2 2-10 6.00 (6.00, 7.00) 6.00 (6.00, 8.00) 6.00 (5.00, 7.00) -9.274 < 0.001

Table 3

The assignments of variables in binary Logistic regression analysis"

Variables Value
Gender 0=male, 1=female
Age/years 1=18-35, 2=36-59, 3= ≥60
Location 0=urban, 1=rural
Education level 1=primary school or lower, 2=junior high school, 3=senior high school or technical secondary school, 4=junior college or higher
Marital status 1=married, 2=unmarried, 3=divorced, 4=bereft of one’s spouse
Average household monthly income/yuan 1= ≤1 500, 2=1 501-6 000, 3=6 001-12 000, 4= >12 000
Family types 1=conjugal family, 2=nuclear family, 3=stem family, 4=joint family, 5=single-parent family, 6=DINK family, 7=households of grandparents with grandchildren, 8=single-person family, 9=other types of families
Smoking status 0=non-smoking, 1=smoking

Table 4

Binary Logistic regression analysis of smoking status"

Variables β SE Wald χ2 P OR 95%CI
Gender (control: male)
  Female -3.047 0.081 1429.947 < 0.001 0.048 0.041-0.056
Age/years (control: 18-35) 34.215 < 0.001
  36-59 0.471 0.083 31.950 < 0.001 1.601 1.360-1.885
  ≥60 0.498 0.116 18.462 < 0.001 1.645 1.311-2.064
Education level (control: junior college or higher) 60.543 < 0.001
  Primary school or lower 0.614 0.112 30.142 < 0.001 1.847 1.484-2.300
  Junior high school 0.563 0.093 36.701 < 0.001 1.756 1.464-2.107
  Senior high school or technical secondary school 0.462 0.080 33.058 < 0.001 1.588 1.356-1.859
Marital status (control: married) 63.822 < 0.001
  Unmarried -0.665 0.092 51.907 < 0.001 0.514 0.429-0.616
  Divorced 0.478 0.216 4.892 0.027 1.612 1.056-2.462
  Bereft of one’s spouse 0.276 0.204 1.829 0.176 1.317 0.884-1.964
Average household monthly income/yuan (control: 1 501-6 000) 6.723 0.081
  ≤1 500 -0.144 0.104 1.936 0.164 0.866 0.706-1.061
  6 001-12 000 0.015 0.115 0.017 0.895 1.015 0.810-1.272
  >12 000 -0.004 0.144 0.001 0.977 0.996 0.750-1.322
Family types (control: other types of families) 21.445 0.006
  Conjugal family -0.403 0.230 3.066 0.080 0.669 0.426-1.049
  Nuclear family -0.543 0.223 5.913 0.015 0.581 0.375-0.900
  Stem family -0.237 0.233 1.035 0.309 0.789 0.500-1.246
  Joint family -0.382 0.263 2.114 0.146 0.683 0.408-1.142
  Single-parent family -0.235 0.271 0.752 0.386 0.790 0.464-1.345
  DINK family -0.222 0.374 0.353 0.553 0.801 0.385-1.666
  Households of grandparents with grandchildren 0.103 0.353 0.085 0.770 1.109 0.555-2.216
  Single-person family -0.331 0.297 1.242 0.265 0.719 0.402-1.285
Family health
  Family social and emotional health processes -0.026 0.012 4.834 0.028 0.974 0.952-0.997
  Family health resources -0.020 0.010 4.344 0.037 0.980 0.961-0.998
Personal traits
  Agreeableness -0.048 0.022 4.735 0.030 0.953 0.913-0.995
  Neuroticism -0.052 0.021 5.932 0.015 0.949 0.910-0.990
  Openness -0.055 0.021 7.128 0.008 0.947 0.909-0.986
  Constant 0.957 0.306 9.793 0.002 2.603
1 中国疾病预防控制中心. 2018中国成人烟草调查内容摘要[EB/OL]. (2019-08-14)[2021-12-20]. https://www.chinacdc.cn/jkzt/sthd_3844/slhd_12885/201908/t20190814_204616.html.
2 张晗, 贺小桃, 张金良, 等. 淮河流域农村女性被动吸烟状况及相关因素分析[J]. 中国慢性病预防与控制, 2021, 29 (12): 910- 913.
3 Sharma R , Martins N , Tripathi A , et al. Influence of family environment and tobacco addiction: A short report from a post-graduate teaching hospital, India[J]. Int J Environ Res Public Health, 2020, 17 (8): 2868.
doi: 10.3390/ijerph17082868
4 Steeger CM , Epstein M , Hill KG , et al. Time-varying effects of family smoking and family management on adolescent daily smoking: The moderating roles of behavioral disinhibition and anxiety[J]. Drug Alcohol Depend, 2019, 204, 107572.
doi: 10.1016/j.drugalcdep.2019.107572
5 Luk TT , Wang MP , Leung LT , et al. Perceived family relationship quality and use of poly-tobacco products during early and late adolescence[J]. Addict Behav, 2018, 85, 38- 42.
doi: 10.1016/j.addbeh.2018.05.011
6 陈霄雯, 陈昊, 施莉莉, 等. 妊娠期家庭控烟现状调查及影响因素分析[J]. 中国全科医学, 2015, 18 (30): 3697- 3703.
doi: 10.3969/j.issn.1007-9572.2015.30.014
7 曹蓉, 蔡秋茂, 许燕君, 等. 广东省居民现在吸烟行为与家庭环境因素关系的研究[J]. 中华流行病学杂志, 2014, 35 (5): 479- 483.
doi: 10.3760/cma.j.issn.0254-6450.2014.05.003
8 Chen Y , Gao L , Lippke S , et al. Harmonious personality and work-family conflicts: The multiple mediating roles of social support and self-control[J]. Psych J, 2021, 10 (6): 889- 897.
doi: 10.1002/pchj.476
9 Perkins PS , Slane JD , Klump KL . Personality clusters and family relationships in women with disordered eating symptoms[J]. Eat Behav, 2013, 14 (3): 299- 308.
doi: 10.1016/j.eatbeh.2013.05.007
10 赵雅芬, 何冠豪, 黄丽华, 等. 学龄前儿童多动行为与父母D型人格及家庭环境的关系[J]. 中华疾病控制杂志, 2021, 25 (5): 583- 588.
11 吴沁芳. 人格和谐: 现代家庭和谐的重要构成维度[J]. 学术论坛, 2007, (9): 48- 52.
12 Hakulinen C , Hintsanen M , Munafo MR , et al. Personality and smoking: Individual-participant meta-analysis of nine cohort studies[J]. Addiction, 2015, 110 (11): 1844- 1852.
doi: 10.1111/add.13079
13 Sallis HM , Smith GD , Munafo MR . Cigarette smoking and perso-nality: Interrogating causality using Mendelian randomisation[J]. Psychol Med, 2019, 49 (13): 2197- 2205.
doi: 10.1017/S0033291718003069
14 冯永辉, 虞质叶, 李荔. 压力、人格与社会支持对青少年吸烟行为影响[J]. 中国公共卫生, 2016, 32 (5): 580- 583.
15 Weiss-Laxer NS , Crandall A , Okano L , et al. Building a foundation for family health measurement in national surveys: A modified Delphi expert process[J]. Matern Child Health J, 2020, 24 (3): 259- 266.
doi: 10.1007/s10995-019-02870-w
16 Crandall A , Weiss-Laxer NS , Broadbent E , et al. The family health scale: Reliability and validity of a short-and long-form[J]. Front Public Health, 2020, 8, 587125.
doi: 10.3389/fpubh.2020.587125
17 Carciofo R , Yang J , Song N , et al. Psychometric evaluation of Chinese-language 44-item and 10-item Big Five personality inventories, including correlations with chronotype, mindfulness and mind wandering[J]. PLoS One, 2016, 11 (2): e0149963.
doi: 10.1371/journal.pone.0149963
18 Nikcevic AV , Marino C , Kolubinski DC , et al. Modelling the contribution of the Big Five personality traits, health anxiety, and COVID-19 psychological distress to generalised anxiety and depressive symptoms during the COVID-19 pandemic[J]. J Affect Disord, 2021, 279, 578- 584.
doi: 10.1016/j.jad.2020.10.053
19 Johann D , Steinbrecher M , Thomas K . Channels of participation: Political participant types and personality[J]. PLoS One, 2020, 15 (10): e0240671.
doi: 10.1371/journal.pone.0240671
20 Eichenberg C , Schott M , Schroiff A . Problematic smartphone use-comparison of students with and without problematic smartphone use in light of personality[J]. Front Psychiatry, 2020, 11, 599241.
21 苏弘博, 范俐娟, 吕艺, 等. 沈阳市18岁以上城市居民吸烟行为及影响因素分析[J]. 中国卫生统计, 2021, 38 (4): 572- 574.
22 丛舒, 王宁, 樊静, 等. 我国40岁及以上吸烟人群烟草依赖严重程度及其影响因素分析[J]. 中华流行病学杂志, 2021, 42 (5): 807- 813.
doi: 10.3760/cma.j.cn112338-20210204-00092
23 李春青, 王骏. 教育对健康的影响: 基于中国家庭追踪调查数据的分析[J]. 北京社会科学, 2017, (11): 56- 69.
24 袁斌, 崔玉虎, 岳方舟. 居民收入水平对非健康消费行为的影响: 以吸烟为例[J]. 消费经济, 2021, 37 (5): 56- 66.
25 邓雅丽, 刘晓芬, 何莹, 等. 北京市房山区居民吸烟行为的调查分析[J]. 中国慢性病预防与控制, 2019, 27 (7): 528- 532.
26 Daines CL , Hansen D , Novilla MLB , et al. Effects of positive and negative childhood experiences on adult family health[J]. BMC Public Health, 2021, 21 (1): 651.
27 卢灿广, 郑频频, 刘晓晓, 等. 上海市青浦区成年男性吸烟者戒烟意愿及影响因素[J]. 环境与职业医学, 2016, 33 (5): 466- 470.
28 van den Berg SM , de Moor MH , Verweij KJ , et al. Meta-analysis of genome-wide association studies for extraversion: Findings from the genetics of personality consortium[J]. Behav Genet, 2016, 46 (2): 170- 182.
29 Haas SA , Schaefer DR . With a little help from my friends? Asymmetrical social influence on adolescent smoking initiation and cessation[J]. J Health Soc Behav, 2014, 55 (2): 126- 143.
[1] CHEN Ping,LI Ze-ming,GUO Yi,SUN Xin-ying,Edwin B. FISHER. To explore medication adherence of patients with type 2 diabetes mellitus using the latent profile analysis based on the Big Five personality theory [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 530-535.
[2] Ze-ming LI,Min GAO,Xue-ying CHEN,Xin-ying SUN. Relationship between the five-factor model of personality traits and self-management attitude of patients with type 2 diabetes [J]. Journal of Peking University (Health Sciences), 2020, 52(3): 506-513.
[3] Xing-hong ZHOU,Ying HUANG,Chao YUAN,Shu-guo ZHENG,Jie ZHANG,Jian-guo ZHANG. Awareness and knowledge of oral cancer among 1 483 residents in Beijing [J]. Journal of Peking University (Health Sciences), 2020, 52(2): 323-331.
[4] Yi-fan YANG,Qing-xian LUAN. Correlation between cigarette smoking and periodontal status: A survey on the population of a community above 35-year-old in Beijing [J]. Journal of Peking University(Health Sciences), 2019, 51(6): 1144-1149.
[5] Xiao-ying ZHANG,Jia-yang JIN,Jing HE,Yu-zhou GAN,Jia-li CHEN,Xiao-zhen ZHAO,Jia-jia LIU,Xu-jie YOU,Xue LI,Jian-ping GUO,Xiao-feng LI,Jing LI,Ru LI,Zhan-guo LI. Family history of rheumatic diseases in patients with rheumatoid arthritis: a large scale cross-sectional study [J]. Journal of Peking University(Health Sciences), 2019, 51(3): 439-444.
[6] JIANG Ying, WANG Yan-Ling, JI Ying, ZENG Qing-Qi, CHANG Chun. Analysis of tobacco use and associated factors among migrants in construction sites of Western China [J]. Journal of Peking University(Health Sciences), 2014, 46(3): 440-444.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 135 -140 .
[2] . [J]. Journal of Peking University(Health Sciences), 2009, 41(1): 52 -55 .
[3] . [J]. Journal of Peking University(Health Sciences), 2009, 41(1): 109 -111 .
[4] . [J]. Journal of Peking University(Health Sciences), 2009, 41(3): 297 -301 .
[5] . [J]. Journal of Peking University(Health Sciences), 2009, 41(3): 376 -379 .
[6] . [J]. Journal of Peking University(Health Sciences), 2009, 41(6): 682 -686 .
[7] . [J]. Journal of Peking University(Health Sciences), 2009, 41(5): 599 -601 .
[8] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 304 -309 .
[9] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 310 -314 .
[10] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 315 -318 .