Chang Hua-Pin, Li Chung-Yi, Chang Ya-Hui, Hwang Shiow-Li, Su Ying-Hwa, Chen Chi-Wen
Department of Nursing, College of Medicine, Fu-Jen Catholic University, No. 510, Chung-Cheng Road, Hsin-Chuan, Taipei 24205, Taiwan.
Pediatr Int. 2013 Feb;55(1):11-6. doi: 10.1111/j.1442-200X.2012.03723.x. Epub 2012 Dec 5.
This study was designed, using three national datasets including the Taiwan Death Registry, Taiwan Birth Registry, and National Meteorological Dataset, to examine the sociodemographic, geographic and meteorological correlates of sudden infant death syndrome (SIDS).
One thousand, six hundred and seventy-one cases of SIDS occurring between 1994 and 2003, and 8355 matched controls were included in this nested case-control study.
Over the study period, the annual rate of SIDS declined only slightly, with an average annual rate of 57.9/10(5) . Male infants (adjusted odds ratio [AOR], 1.19; 95% confidence interval [CI]: 1.06-1.33), preterm births (AOR, 1.69; 95%CI: 1.33-2.13), low birthweight (AOR, 2.87; 95%CI: 2.30-3.59), and birth order ≥3 (AOR, 1.62; 95%CI: 1.37-1.92) were the demographic risk factors for SIDS. Additionally, paternal age <25 years (AOR, 1.37; 95%CI: 1.09-1.71), urbanization (AOR, 1.46; 95%CI: 1.20-1.78), lower paternal education (elementary and less; AOR, 1.28; 95%CI: 1.01-1.64), and parental age difference >10 years (AOR, 1.72; 95%CI: 1.24-2.39) were also associated with increased risk of SIDS. It was also noted that daily average temperature ranging from 9.2°C to 14.2°C (AOR, 2.10; 95%CI: 1.67-2.64) was associated with the most increased risk, while temperature ≥26.4°C (AOR 0.60, 0.61) was significantly associated with the most reduced risk.
Sociodemographic, geographic and meteorological data can be used to identify families in greater need of early guidance and to promote various prevention measures to avoid the occurrence of SIDS.
本研究利用包括台湾死亡登记册、台湾出生登记册和国家气象数据集在内的三个国家数据集，来研究婴儿猝死综合征（SIDS）的社会人口统计学、地理和气象相关因素。
这项巢式病例对照研究纳入了1994年至2003年间发生的1671例SIDS病例以及8355例匹配对照。
在研究期间，SIDS的年发生率仅略有下降，年均发生率为57.9/10⁵ 。男婴（校正比值比[AOR]，1.19；95%置信区间[CI]：1.06 - 1.33）、早产（AOR，1.69；95%CI：1.33 - 2.13）、低出生体重（AOR，2.87；95%CI：2.30 - 3.59）以及出生顺序≥3（AOR，1.62；95%CI：1.37 - 1.92）是SIDS的人口统计学风险因素。此外，父亲年龄<25岁（AOR，1.37；95%CI：1.09 - 1.71）、城市化（AOR，1.46；95%CI：1.20 - 1.78）、父亲教育程度较低（小学及以下；AOR，1.28；95%CI：1.01 - 1.64）以及父母年龄差>10岁（AOR，1.72；95%CI：1.24 - 2.39）也与SIDS风险增加有关。还注意到日平均温度在9.2°C至14.2°C之间（AOR，2.10；95%CI：1.67 - 2.64）与风险增加最多相关，而温度≥26.4°C（AOR 0.60，0.61）与风险降低最多显著相关。
社会人口统计学、地理和气象数据可用于识别更需要早期指导的家庭，并促进各种预防措施以避免SIDS的发生。
