Subramanian S V, Nandy Shailen, Kelly Michelle, Gordon Dave, Davey Smith George
Department of Society, Human Development and Health, Harvard School of Public Health, 677 Huntington Avenue, KRESGE 7th floor, Boston, MA 02115-6096, USA.
BMJ. 2004 Apr 3;328(7443):801-6. doi: 10.1136/bmj.328.7443.801.
To investigate the demographic, socioeconomic, and geographical distribution of tobacco consumption in India.
Multilevel cross sectional analysis of the 1998-9 Indian national family health survey of 301 984 individuals in 92 447 households in 3215 villages in 440 districts in 26 states.
Indian states.
301 984 adults (> or = 18 years).
Dichotomous variable for smoking and chewing tobacco for each respondent (1 if yes, 0 if no) as well as a combined measure of whether an individual smokes, chews tobacco, or both.
Smoking and chewing tobacco are systematically associated with socioeconomic markers at the individual and household level. Individuals with no education are 2.69 times more likely to smoke and chew tobacco than those with postgraduate education. Households belonging to the lowest fifth of a standard of living index were 2.54 times more likely to consume tobacco than those in the highest fifth. Scheduled tribes (odds ratio 1.23, 95% confidence interval 1.18 to 1.29) and scheduled castes (1.19, 1.16 to 1.23) were more likely to consume tobacco than other caste groups. The socioeconomic differences are more marked for smoking than for chewing tobacco. Socioeconomic markers and demographic characteristics of individuals and households do not account fully for the differences at the level of state, district, and village in smoking and chewing tobacco, with state accounting for the bulk of the variation in tobacco consumption.
The distribution of tobacco consumption is likely to maintain, and perhaps increase, the current considerable socioeconomic differentials in health in India. Interventions aimed at influencing change in tobacco consumption should consider the socioeconomic and geographical determinants of people's susceptibility to consume tobacco.
调查印度烟草消费的人口统计学、社会经济和地理分布情况。
对1998 - 1999年印度全国家庭健康调查进行多层次横断面分析,该调查涉及26个邦440个区3215个村庄的92447户家庭中的301984个人。
印度各邦。
301984名成年人(≥18岁)。
每位受访者吸烟和嚼烟草的二分变量(是为1,否为0),以及个人是否吸烟、嚼烟草或两者皆有的综合指标。
吸烟和嚼烟草在个体和家庭层面与社会经济指标存在系统性关联。未受过教育的个体吸烟和嚼烟草的可能性是受过研究生教育者的2.69倍。生活水平指数处于最低五分之一的家庭消费烟草的可能性是最高五分之一家庭的2.54倍。在册部落(比值比1.23,95%置信区间1.18至1.29)和在册种姓(1.19,1.16至1.23)比其他种姓群体更易消费烟草。吸烟方面的社会经济差异比嚼烟草更为显著。个体和家庭的社会经济指标及人口统计学特征不能完全解释邦、区和村庄层面在吸烟和嚼烟草方面的差异,其中邦层面的差异在烟草消费差异中占大部分。
烟草消费分布可能会维持,甚至加剧印度目前在健康方面存在的巨大社会经济差异。旨在影响烟草消费变化的干预措施应考虑人们对烟草消费易感性的社会经济和地理决定因素。