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Identification of Risk Factors Affecting Impaired Fasting Glucose and Diabetes in Adult Patients from Northeast China.

Yin Y, Han W, Wang Y, Zhang Y, Wu S, Zhang H, Jiang L, Wang R, Zhang P, Yu Y, Li B - Int J Environ Res Public Health (2015)

Bottom Line: We found that subjects living in Changling County had a significantly lower chance to suffer from IFG (OR and 95% CI for OR: 0.25, 0.08-0.74).We did not find significant associations of IFG or DM with certain lifestyles (such as eating more meat, exercise or physical activity, smoking, or alcohol drinking) or the content of some metallic elements (such as iron (Fe), Zn , K, calcium (Ca), Na, or magnesium (Mg)).Living in Changling County, men and 60-69 years old subjects were found to be risk factors for IFG.

View Article: PubMed Central - PubMed

Affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin 130021, China. yinyutian1123@126.com.

ABSTRACT

Background: Besides genetic factors, the occurrence of diabetes is influenced by lifestyles and environmental factors as well as trace elements in diet materials. Subjects with impaired fasting glucose (IFG) have an increased risk of developing diabetes mellitus (DM). This study aimed to explore risk factors affecting IFG and diabetes in patients from Northeast China.

Methods: A population-based, cross-sectional survey of chronic diseases and related risk factors was conducted in Jilin Province of Northeast China. All adult residents, aged 18-79, were invited to participate in this survey using the method of multistage stratified random cluster sampling. One hundred thirty-four patients with IFG or DM and 391 healthy control subjects were recruited. We compared demographic factors, body size measurements, healthy-related behaviors, and hair metallic element contents between IFG/diabetes patients and healthy individuals.

Results: IFG/diabetes patients had a greater weight, waist, hip, and body mass index (BMI) than control subjects. Significant differences in the content of zinc (Zn), potassium (K), copper (Ca), and sodium (Na) as well as Cu/Zn ratios between IFG or DM patients and control subjects (p < 0.05) were also observed. Hair Cu, selenium (Se), and Na contents were positively correlated with blood glucose levels (Cu: rs = 0.135, p = 0.002; Se: rs = 0.110, p = 0.012; Na: rs = 0.091, p = 0.038). Polytomous logistic regression adjusting for age, sex, family history of diabetes and BMI, showed that subjects with high BMI were more likely to develop IFG and DM (IFG: OR = 1.15, OR 95% CI = 1.02-1.29; DM: OR = 1.15, OR 95% CI = 1.01-1.33). Moreover, rarely or never eating fruits was a risk factor for DM (OR = 5.46, OR 95% CI = 1.87-15.98) but not for IFG (OR = 1.70, OR 95% CI = 0.72-4.02). Subjects with abdominal obesity or DM history were more susceptible to DM (abdominal obesity: OR = 2.99, OR 95% CI = 1.07-8.37; DM history: OR = 2.69, OR 95% CI = 1.01-7.20). We found that subjects living in Changling County had a significantly lower chance to suffer from IFG (OR and 95% CI for OR: 0.25, 0.08-0.74). Men and 60-69 years old subjects were at increased risk for IFG (male: OR = 3.51, OR 95% CI = 1.34-9.18; age 60-69: OR = 6.64, OR 95% CI = 1.36-32.47). We did not find significant associations of IFG or DM with certain lifestyles (such as eating more meat, exercise or physical activity, smoking, or alcohol drinking) or the content of some metallic elements (such as iron (Fe), Zn , K, calcium (Ca), Na, or magnesium (Mg)).

Conclusions: This study demonstrated that less or no fruit eating, DM family history, abdominal obesity conferred vulnerability to DM. Living in Changling County, men and 60-69 years old subjects were found to be risk factors for IFG. Subjects with high BMI were more likely to develop IFG and DM.

No MeSH data available.


Related in: MedlinePlus

Flow diagram of patient recruitment.
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ijerph-12-12662-f001: Flow diagram of patient recruitment.

Mentions: A total of 657 valid questionnaire responses were received in this study. One hundred thirty-five subjects (89 with IFG, and 46 with DM) had fasting serum glucose levels more than 6.1 mmol/L, namely IFG/DM. Those subjects who self-reported having DM or being under treatment with either insulin or oral anti-diabetic agents were also included as diabetic patients. We excluded one subject with no data on trace elements in hair, geting 134 subjects with impaired glucose metabolism (IFG:89, DM:45). Some subjects with fasting serum glucose levels less than 3.9 mmol/L were also excluded (118). We excluded individuals affected with endocrine (5), nutritional (3), and metabolic diseases (3). One subject with no data on the content of metallic elements in hair and one subject without waist measurements were excluded. Fasting serum glucose levels in 391 control subjects ranged from 3.9 mmol/L to 6.1 mmol/L, without the factors that will exclude them from the analysis. Finally, 525 subjects (including 391 control and 134 impaired glucose metabolism subjects) were included in the data analysis. A flow diagram of patient recruitment was given in Figure 1.


Identification of Risk Factors Affecting Impaired Fasting Glucose and Diabetes in Adult Patients from Northeast China.

Yin Y, Han W, Wang Y, Zhang Y, Wu S, Zhang H, Jiang L, Wang R, Zhang P, Yu Y, Li B - Int J Environ Res Public Health (2015)

Flow diagram of patient recruitment.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4626992&req=5

ijerph-12-12662-f001: Flow diagram of patient recruitment.
Mentions: A total of 657 valid questionnaire responses were received in this study. One hundred thirty-five subjects (89 with IFG, and 46 with DM) had fasting serum glucose levels more than 6.1 mmol/L, namely IFG/DM. Those subjects who self-reported having DM or being under treatment with either insulin or oral anti-diabetic agents were also included as diabetic patients. We excluded one subject with no data on trace elements in hair, geting 134 subjects with impaired glucose metabolism (IFG:89, DM:45). Some subjects with fasting serum glucose levels less than 3.9 mmol/L were also excluded (118). We excluded individuals affected with endocrine (5), nutritional (3), and metabolic diseases (3). One subject with no data on the content of metallic elements in hair and one subject without waist measurements were excluded. Fasting serum glucose levels in 391 control subjects ranged from 3.9 mmol/L to 6.1 mmol/L, without the factors that will exclude them from the analysis. Finally, 525 subjects (including 391 control and 134 impaired glucose metabolism subjects) were included in the data analysis. A flow diagram of patient recruitment was given in Figure 1.

Bottom Line: We found that subjects living in Changling County had a significantly lower chance to suffer from IFG (OR and 95% CI for OR: 0.25, 0.08-0.74).We did not find significant associations of IFG or DM with certain lifestyles (such as eating more meat, exercise or physical activity, smoking, or alcohol drinking) or the content of some metallic elements (such as iron (Fe), Zn , K, calcium (Ca), Na, or magnesium (Mg)).Living in Changling County, men and 60-69 years old subjects were found to be risk factors for IFG.

View Article: PubMed Central - PubMed

Affiliation: Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin 130021, China. yinyutian1123@126.com.

ABSTRACT

Background: Besides genetic factors, the occurrence of diabetes is influenced by lifestyles and environmental factors as well as trace elements in diet materials. Subjects with impaired fasting glucose (IFG) have an increased risk of developing diabetes mellitus (DM). This study aimed to explore risk factors affecting IFG and diabetes in patients from Northeast China.

Methods: A population-based, cross-sectional survey of chronic diseases and related risk factors was conducted in Jilin Province of Northeast China. All adult residents, aged 18-79, were invited to participate in this survey using the method of multistage stratified random cluster sampling. One hundred thirty-four patients with IFG or DM and 391 healthy control subjects were recruited. We compared demographic factors, body size measurements, healthy-related behaviors, and hair metallic element contents between IFG/diabetes patients and healthy individuals.

Results: IFG/diabetes patients had a greater weight, waist, hip, and body mass index (BMI) than control subjects. Significant differences in the content of zinc (Zn), potassium (K), copper (Ca), and sodium (Na) as well as Cu/Zn ratios between IFG or DM patients and control subjects (p < 0.05) were also observed. Hair Cu, selenium (Se), and Na contents were positively correlated with blood glucose levels (Cu: rs = 0.135, p = 0.002; Se: rs = 0.110, p = 0.012; Na: rs = 0.091, p = 0.038). Polytomous logistic regression adjusting for age, sex, family history of diabetes and BMI, showed that subjects with high BMI were more likely to develop IFG and DM (IFG: OR = 1.15, OR 95% CI = 1.02-1.29; DM: OR = 1.15, OR 95% CI = 1.01-1.33). Moreover, rarely or never eating fruits was a risk factor for DM (OR = 5.46, OR 95% CI = 1.87-15.98) but not for IFG (OR = 1.70, OR 95% CI = 0.72-4.02). Subjects with abdominal obesity or DM history were more susceptible to DM (abdominal obesity: OR = 2.99, OR 95% CI = 1.07-8.37; DM history: OR = 2.69, OR 95% CI = 1.01-7.20). We found that subjects living in Changling County had a significantly lower chance to suffer from IFG (OR and 95% CI for OR: 0.25, 0.08-0.74). Men and 60-69 years old subjects were at increased risk for IFG (male: OR = 3.51, OR 95% CI = 1.34-9.18; age 60-69: OR = 6.64, OR 95% CI = 1.36-32.47). We did not find significant associations of IFG or DM with certain lifestyles (such as eating more meat, exercise or physical activity, smoking, or alcohol drinking) or the content of some metallic elements (such as iron (Fe), Zn , K, calcium (Ca), Na, or magnesium (Mg)).

Conclusions: This study demonstrated that less or no fruit eating, DM family history, abdominal obesity conferred vulnerability to DM. Living in Changling County, men and 60-69 years old subjects were found to be risk factors for IFG. Subjects with high BMI were more likely to develop IFG and DM.

No MeSH data available.


Related in: MedlinePlus