Indah Budiastutik, Martha I Kartasurya, Hertanto W Subagio, Bagoes Widjanarko
{"title":"印度尼西亚Pontianak城市地区糖尿病前期患病率高及相关危险因素:一项横断面研究。","authors":"Indah Budiastutik, Martha I Kartasurya, Hertanto W Subagio, Bagoes Widjanarko","doi":"10.1155/2022/4851044","DOIUrl":null,"url":null,"abstract":"<p><p>Uncontrolled prediabetes can develop into Type 2 Diabetes mellitus (T2DM). The incidence of T2DM among adults in Pontianak, Indonesia was reported remarkably high. Therefore, this study aimed to investigate the risk factors for prediabetes in adults living in urban areas of Pontianak, Indonesia. A cross-sectional study was conducted in 5 subdistricts of Pontianak. A total of 506 adults underwent screening to obtain subjects with fasting blood glucose (FBS) of ≤124 mg/dL and aged >30 years. Blood pressure and body mass index (BMI) were measured. Interview using a structured questionnaire were performed to obtain data on predictor variables (age, sex, education, income, health insurance, tobacco use, history of hypertension, gout, high cholesterol level, frequency of exercise per week, and diabetic education). The prevalence of prediabetes among subjects was significantly high (76.4%). Subjects were predominantly above 40 years, female, had low income, low education level, and had health insurance. About a third of the subjects had a history of hypertension, gout, and high cholesterol level, respectively. The exercise frequency was mostly less than 3 times/week, and the BMI was mainly classified as overweight and obese. The result of spearman's rho correlation showed that age (<i>r</i> = 0.146; <i>p</i>=0.022) and BMI (<i>r</i> = 0.130; <i>p</i>=0.041) significantly correlated with prediabetes incidence. Moreover, the chi-square analysis demonstrated that health insurance ownership (OR = 4.473; 95% CI 1.824-10.972; <i>p</i> ≤ 0.001), history of hypertension (OR = 3.096; 95% CI 1.542-6.218; <i>p</i>=0.001), and history of gout (OR = 2.419; 95% CI 1.148-5.099; <i>p</i>=0.018), were associated with prediabetes incidence. For all these significant risk predictors except BMI, the significant associations were found only among female subjects after specific sex analysis. Moreover, multivariate logistic regression showed that health insurance ownerships (OR = 5.956; 95% CI 2.256-15.661; <i>p</i> ≤ 0.001) and history of hypertension (OR = 3.257; 95% CI 1.451-7.311; <i>p</i>=0.004), and systolic blood pressure (OR = 2.141; 95% CI 1.092-4.196; <i>p</i>=0.027) were the risk factors for prediabetes. It is concluded that the prevalence of prediabetes is probably high especially among urban people in Pontianak, Indonesia. Health insurance ownership and hypertension may have an important role in prediabetes management. The risk factors might be different between male and female.</p>","PeriodicalId":16628,"journal":{"name":"Journal of Obesity","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759381/pdf/","citationCount":"3","resultStr":"{\"title\":\"High Prevalence of Prediabetes and Associated Risk Factors in Urban Areas of Pontianak, Indonesia: A Cross-Sectional Study.\",\"authors\":\"Indah Budiastutik, Martha I Kartasurya, Hertanto W Subagio, Bagoes Widjanarko\",\"doi\":\"10.1155/2022/4851044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Uncontrolled prediabetes can develop into Type 2 Diabetes mellitus (T2DM). The incidence of T2DM among adults in Pontianak, Indonesia was reported remarkably high. 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The exercise frequency was mostly less than 3 times/week, and the BMI was mainly classified as overweight and obese. The result of spearman's rho correlation showed that age (<i>r</i> = 0.146; <i>p</i>=0.022) and BMI (<i>r</i> = 0.130; <i>p</i>=0.041) significantly correlated with prediabetes incidence. Moreover, the chi-square analysis demonstrated that health insurance ownership (OR = 4.473; 95% CI 1.824-10.972; <i>p</i> ≤ 0.001), history of hypertension (OR = 3.096; 95% CI 1.542-6.218; <i>p</i>=0.001), and history of gout (OR = 2.419; 95% CI 1.148-5.099; <i>p</i>=0.018), were associated with prediabetes incidence. For all these significant risk predictors except BMI, the significant associations were found only among female subjects after specific sex analysis. 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引用次数: 3
摘要
未控制的糖尿病前期可发展为2型糖尿病(T2DM)。据报道,印尼Pontianak的成人2型糖尿病发病率非常高。因此,本研究旨在调查生活在印度尼西亚Pontianak城市地区的成年人前驱糖尿病的危险因素。横断面研究在Pontianak的5个街道进行。共有506名成年人接受了筛查,以获得空腹血糖(FBS)≤124 mg/dL且年龄>30岁的受试者。测量血压和体重指数(BMI)。采用结构化问卷进行访谈,以获得预测变量(年龄、性别、教育程度、收入、健康保险、吸烟、高血压史、痛风史、高胆固醇水平、每周运动频率和糖尿病教育)的数据。受试者中前驱糖尿病的患病率明显较高(76.4%)。研究对象以40岁以上、低收入、低教育水平、有健康保险的女性为主。大约三分之一的受试者分别有高血压、痛风和高胆固醇病史。运动频次多小于3次/周,BMI以超重和肥胖为主。spearman’s rho相关结果显示,年龄(r = 0.146;p=0.022)和BMI (r = 0.130;P =0.041)与糖尿病前期发病率显著相关。此外,卡方分析表明,健康保险所有权(OR = 4.473;95% ci 1.824-10.972;p≤0.001)、高血压史(OR = 3.096;95% ci 1.542-6.218;p=0.001),痛风病史(OR = 2.419;95% ci 1.148-5.099;P =0.018),与糖尿病前期发病率相关。除BMI外,所有这些显著的风险预测因子在特定的性别分析后,仅在女性受试者中发现显著的关联。此外,多元logistic回归显示,健康保险拥有量(OR = 5.956;95% ci 2.256-15.661;p≤0.001)和高血压史(OR = 3.257;95% ci 1.451-7.311;p=0.004),收缩压(OR = 2.141;95% ci 1.092-4.196;P =0.027)为前驱糖尿病的危险因素。结论是,糖尿病前期的患病率可能很高,特别是在印度尼西亚Pontianak的城市人群中。健康保险所有权和高血压可能在糖尿病前期管理中起重要作用。男性和女性的风险因素可能有所不同。
High Prevalence of Prediabetes and Associated Risk Factors in Urban Areas of Pontianak, Indonesia: A Cross-Sectional Study.
Uncontrolled prediabetes can develop into Type 2 Diabetes mellitus (T2DM). The incidence of T2DM among adults in Pontianak, Indonesia was reported remarkably high. Therefore, this study aimed to investigate the risk factors for prediabetes in adults living in urban areas of Pontianak, Indonesia. A cross-sectional study was conducted in 5 subdistricts of Pontianak. A total of 506 adults underwent screening to obtain subjects with fasting blood glucose (FBS) of ≤124 mg/dL and aged >30 years. Blood pressure and body mass index (BMI) were measured. Interview using a structured questionnaire were performed to obtain data on predictor variables (age, sex, education, income, health insurance, tobacco use, history of hypertension, gout, high cholesterol level, frequency of exercise per week, and diabetic education). The prevalence of prediabetes among subjects was significantly high (76.4%). Subjects were predominantly above 40 years, female, had low income, low education level, and had health insurance. About a third of the subjects had a history of hypertension, gout, and high cholesterol level, respectively. The exercise frequency was mostly less than 3 times/week, and the BMI was mainly classified as overweight and obese. The result of spearman's rho correlation showed that age (r = 0.146; p=0.022) and BMI (r = 0.130; p=0.041) significantly correlated with prediabetes incidence. Moreover, the chi-square analysis demonstrated that health insurance ownership (OR = 4.473; 95% CI 1.824-10.972; p ≤ 0.001), history of hypertension (OR = 3.096; 95% CI 1.542-6.218; p=0.001), and history of gout (OR = 2.419; 95% CI 1.148-5.099; p=0.018), were associated with prediabetes incidence. For all these significant risk predictors except BMI, the significant associations were found only among female subjects after specific sex analysis. Moreover, multivariate logistic regression showed that health insurance ownerships (OR = 5.956; 95% CI 2.256-15.661; p ≤ 0.001) and history of hypertension (OR = 3.257; 95% CI 1.451-7.311; p=0.004), and systolic blood pressure (OR = 2.141; 95% CI 1.092-4.196; p=0.027) were the risk factors for prediabetes. It is concluded that the prevalence of prediabetes is probably high especially among urban people in Pontianak, Indonesia. Health insurance ownership and hypertension may have an important role in prediabetes management. The risk factors might be different between male and female.
期刊介绍:
Journal of Obesity is a peer-reviewed, Open Access journal that provides a multidisciplinary forum for basic and clinical research as well as applied studies in the areas of adipocyte biology & physiology, lipid metabolism, metabolic syndrome, diabetes, paediatric obesity, genetics, behavioural epidemiology, nutrition & eating disorders, exercise & human physiology, weight control and health risks associated with obesity.