Tan Ce, Sasagawa Yutaka, Kamo Ken-Ichi, Kukitsu Takehiro, Noda Sayaka, Ishikawa Kazuma, Yamauchi Natsumi, Saikawa Takashi, Noro Takanori, Nakamura Hajime, Takahashi Fumihiko, Sata Fumihiro, Tada Mitsuhiro, Kokai Yasuo
Department of General Medicine, Rumoi Municipal Hospital, 2-16-1 Sinonome, Rumoi, 077-0011, Japan.
Center for Medical Education, Sapporo Medical University, Sapporo, 060-8556, Japan.
Environ Health Prev Med. 2016 Nov;21(6):470-479. doi: 10.1007/s12199-016-0568-5. Epub 2016 Oct 3.
To prevent the onset of lifestyle-related diseases associated with metabolic syndrome (MetS) in Japan, research into the development of a useful screening method is strongly desired. We developed a new screening questionnaire (JAMRISC) utilizing a logistic regression model and evaluated its ability to predict the development of MetS, type 2 diabetes and other lifestyle-related diseases in Japanese populace.
JAMRISC questionnaire was sent to 1,850 individuals in Rumoi, a small city in Hokkaido. We received a total of 1,054 valid responses. To maximize the target individuals accurately diagnosed with MetS, logistic regression analysis was used to generate a unique metabolic syndrome score calculation formula as taking into consideration the clinical relevance of each question item as individual coefficients.
The results of our comparative research utilizing both JAMRISC and Finnish Diabetes Risk Score (FINDRISC) questionnaires revealed the usefulness of JAMRISC for its ability to detect risks for MetS, pre-MetS, diabetes, and pre-diabetes. Study of disease risk detection via JAMRISC questionnaire targeting the 4283 residents of Rumoi indicated a high detection rate for pre-MetS (98.8 %), MetS (94.2 %), pre-diabetes (85.1 %) and type 2 diabetes (94.9 %). In addition, JAMRISC was useful not only as a MetS risk score test, but also as a screening tool for diagnosing insulin resistance.
JAMRISC questionnaire is a useful instrument for the detection of early risk of not only MetS and type 2 diabetes but also insulin resistance.
为预防日本与代谢综合征（MetS）相关的生活方式相关疾病的发生，强烈需要开展关于开发有效筛查方法的研究。我们利用逻辑回归模型开发了一种新的筛查问卷（JAMRISC），并评估了其预测日本人群中代谢综合征、2型糖尿病及其他生活方式相关疾病发生的能力。
JAMRISC问卷被发送至北海道一个小城市留萌市的1850人。我们共收到1054份有效回复。为了使准确诊断为代谢综合征的目标个体最大化，使用逻辑回归分析生成一个独特的代谢综合征评分计算公式，将每个问题项目的临床相关性作为个体系数考虑在内。
我们使用JAMRISC和芬兰糖尿病风险评分（FINDRISC）问卷进行的对比研究结果显示，JAMRISC对于检测代谢综合征、代谢综合征前期、糖尿病和糖尿病前期风险具有实用性。针对留萌市4283名居民的JAMRISC问卷疾病风险检测研究表明，代谢综合征前期（98.8%）、代谢综合征（94.2%）、糖尿病前期（85.1%）和2型糖尿病（94.9%）的检测率很高。此外，JAMRISC不仅作为代谢综合征风险评分测试有用，而且作为诊断胰岛素抵抗的筛查工具也有用。
JAMRISC问卷是一种不仅可用于检测代谢综合征和2型糖尿病早期风险，还可用于检测胰岛素抵抗早期风险的有用工具。
