Objective:To investigate the thyroid volume of adults in Lanzhou City, and analyze its influencing factors.Methods:In June 2016, according to the principle of multi-stage stratified cluster sampling, Han residents aged 18 and above in Chengguan, Xigu and Qilihe districts of Lanzhou City who had lived there for more than 5 years were selected as research subjects, and a portable B-ultrasound machine was used for thyroid examination. Morning urine samples of the subjects were collected to test urinary iodine; fasting venous blood samples of the subjects were collected to test serum thyroid stimulating hormone (TSH), thyroid peroxidase antibody (TPOAb), anti-thyroglobulin antibody (TgAb), blood lipids [triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL)] and blood uric acid (Ua) levels. At the same time, body indexes systolic blood pressure (SP), diastolic blood pressure (DP), waist circumference, height and weight were measured, and the body mass index (BMI) was calculated. Multiple linear regression was used to analyze the influencing factors of thyroid volume.Results:A total of 1 009 subjects were included, aged (43.50 ± 15.16) years, and the thyroid volume was (8.74 ± 3.39) ml. Among them, 534 males had a thyroid volume of (9.46 ± 3.43) ml; 475 females had a thyroid volume of (7.93 ± 3.15) ml, the thyroid volume of males was larger than that of females ( t = 7.36, P < 0.01). Thyroid volume was positively correlated with age, height, weight, BMI, SP, waist circumference, LDL, Ua and TgAb ( r = 0.07, 0.23, 0.33, 0.27, 0.10, 0.27, 0.10, 0.08, 0.07, P < 0.05), and it was negatively correlated with thyroid nodules, TPOAb, TSH and urinary iodine ( r = - 0.16, - 0.07, - 0.10, - 0.08, P < 0.05). After multiple linear regression analysis, TSH, TPOAb, TgAb and thyroid nodules were included in the regression equation, and the standardized B values were - 0.135, - 0.065, 0.123 and - 0.197, respectively. Conclusions:The thyroid volume of males is larger than that of females in Lanzhou City. TSH, TPOAb, TgAb and thyroid nodules are influencing factors of thyroid volume.

Objective:To investigate the detection rate and related factors of thyroid nodules in people with abnormal lipid metabolism.Methods:From September 4, 2016 to February 1, 2017, community residents living in Lanzhou City, Longnan City, Dingxi City and Linxia City of Gansu Province for more than 5 years were selected as the respondents. General data were recorded, venous blood was collected, blood lipid related biochemical indexes were detected, and thyroid ultrasound was performed. By comparing the general data and biochemical indexes, the detection of abnormal lipid metabolism and thyroid nodules were analyzed, and the risk factors of thyroid nodules in people with abnormal lipid metabolism were analyzed by logistic regression.Results:Two thousand and fifty-nine residents were included in this study (1 049 males and 1 010 females). The total detection rate of thyroid nodules was 23.17% (477/2 059). The detection rate of thyroid nodules in people with abnormal lipid metabolism [34.16%(151/442)] was significantly higher than that in people with normal lipid metabolism [20.16% (326/1 617) , P < 0.01], and the detection rate of thyroid nodules of women [43.37% (85/196) ] was higher than that of men [26.83% (66/246) , P < 0.01]. Among the people with abnormal lipid metabolism, the highest detection rate of thyroid nodules was in mixed hyperlipidemia [57.14% (16/28)], followed by hypertriglyceridemia [34.59% (92/266)]. The detection rates of thyroid nodules in the groups with elevated total cholesterol (TC) and low density lipoprotein cholesterol (LDL-C) levels [35.16% (32/91), 34.85% (23/66)] were higher than those in the marginal elevated group [27.04%(86/318), 30.42% (73/240)] and the normal groups [21.76% (359/1 650), 21.73% (381/1 753), P < 0.05]. The results of logistic regression analysis showed that the risk factors of thyroid nodules in people with abnormal lipid metabolism were increased age, elevated fasting blood glucose (FPG), elevated blood glucose 2 hours (2 h PG) after oral glucose tolerance test (OGTT) load and elevated glycosylated hemoglobin [HbA1c, odds ratio ( OR)=1.065, 1.387, 1.866, 1.384, P < 0.05]. Conclusions:The prevalence of TN is higher in populations with abnormal lipid metabolism. The control of blood sugar and blood lipid levels may play a role in the prevention of thyroid nodules.

Objective: To analyze the urinary iodine status of urban and rural residents in some areas of Gansu Province and its related influencing factors, and to provide certain references for scientific iodine intake of urban and rural residents in Gansu Province. Methods: Subjects in Gansu Province with normal thyroid function were recruited in the investigation of thyroid diseases and iodine nutritional status, conducted a questionnaire survey and measured height, weight, waist circumference, collected 1 urine sample, and tested their urinary iodine levels. The urinary iodine levels of different groups were compared based on different gender, region, age, body weight, the waist, and salt intaking. The affecting factors of urinary iodine levels were analyzed by multiple linear regression models. Results: Totally 1 964 subjects were recruited, including 1 099 males, and 865 females. The age was (41.23 ± 14.75) years old. The median urinary iodine of the selected group was 225.60 (158.80, 311.58) μg/L. The urinary iodine level of rural residents was significantly higher than that of urban residents [μg/L: 249.80 (180.58, 336.88) vs 206.25 (148.03, 280.33), Z=-8.015, P < 0.05], and there was no significant difference between the urinary iodine levels of male and female [μg/L: 222.40 (161.60, 298.90) vs 230.60 (158.00, 326.40), P > 0.05]. The composition ratio of < 100 μg/L group in rural areas was lower than that in urban areas (5.14% vs 8.27%, χ²= 7.45, P < 0.05), and the composition ratio of ≥300 μg/L group was higher than that in urban areas (34.93% vs 21.51%, χ²= 43.87, P < 0.05). The composition ratio of ≥300 μg/L group in male was lower than that in female (24.57% vs 31.21%, χ²= 10.73, P < 0.05). The multiple linear regression analysis showed that lived in rural areas, age, moderate and severe salt intaking, student, and weight were independently correlated with urinary iodine levels (β= 0.074, -0.001, 0.059, 0.034, 0.096, -0.003, P < 0.05). And the urinary iodine levels were decreased with age and weight increased (P < 0.05). Conclusions At present, the iodine nutrition level of urban and rural residents in some areas of Gansu Province is generally over the adequate level. The urinary iodine level of rural residents is higher than that of urban residents. In the future, we should pay attention to the impact of different living areas, salt intaking and body weight on urinary iodine levels to prevent thyroid diseases.