Healis Sekhsaria Institute for Public Health, CBD Belapur, Navi Mumbai, Maharashtra 400614, India.
BMC Public Health. 2011 Jul 15;11:567. doi: 10.1186/1471-2458-11-567.
Influence of education, a marker of SES, on cardiovascular disease (CVD) mortality has not been evaluated in low-income countries. To determine influence of education on CVD mortality a cohort study was performed in India.
148,173 individuals aged ≥ 35 years were recruited in Mumbai during 1991-1997 and followed to ascertain vital status during 1997-2003. Subjects were divided according to educational status into one of the five groups: illiterate, primary school (≦ 5 years of formal education), middle school (6-8 years), secondary school (9-10 years) and college (> 10 years). Multivariate analyses using Cox proportional hazard model was performed and hazard ratios (HRs) and 95% confidence intervals (CIs) determined.
At average follow-up of 5.5 years (774,129 person-years) 13,261 deaths were observed. CVD was the major cause of death in all the five educational groups. Age adjusted all-cause mortality per 100,000 in illiterate to college going men respectively was 2154, 2149, 1793, 1543 and 1187 and CVD mortality was 471, 654, 618, 518 and 450; and in women all-cause mortality was 1444, 949, 896, 981 and 962 and CVD mortality was 429, 301, 267, 426 and 317 (ptrend < 0.01). Compared with illiterate, age-adjusted HRs for CVD mortality in primary school to college going men were 1.36, 1.27, 1.01 and 0.88 (ptrend < 0.05) and in women 0.69, 0.55, 1.04 and 0.74, respectively (ptrend > 0.05).
Inverse association of literacy status with all-cause mortality was observed in Indian men and women, while, for CVD mortality it was observed only in men.
教育是社会经济地位(SES)的一个标志,其对心血管疾病(CVD)死亡率的影响尚未在低收入国家进行评估。为了确定教育对 CVD 死亡率的影响,在印度进行了一项队列研究。
1991-1997 年在孟买招募了 148173 名年龄≥35 岁的个体,并在 1997-2003 年期间随访以确定其生存状态。根据教育程度将受试者分为以下五组之一:文盲、小学(≦5 年正规教育)、初中(6-8 年)、高中(9-10 年)和大学(>10 年)。使用 Cox 比例风险模型进行多变量分析,并确定风险比(HRs)和 95%置信区间(CIs)。
在平均 5.5 年(774129 人年)的随访中,观察到 13261 例死亡。在所有五个教育组中,CVD 都是主要死亡原因。年龄调整后,每 100000 人年文盲至大学生的全因死亡率分别为 2154、2149、1793、1543 和 1187,CVD 死亡率分别为 471、654、618、518 和 450;女性的全因死亡率分别为 1444、949、896、981 和 962,CVD 死亡率分别为 429、301、267、426 和 317(ptrend<0.01)。与文盲相比,小学至大学生的 CVD 死亡率的年龄调整 HR 分别为 1.36、1.27、1.01 和 0.88(ptrend<0.05),而女性分别为 0.69、0.55、1.04 和 0.74(ptrend>0.05)。
在印度男女中,文化程度与全因死亡率呈负相关,而 CVD 死亡率仅在男性中观察到。