Complication subgroup analysis of the RAAS system in T2DM patients. by Ningning Wang (560944)

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Flow diagram of patient selection and subgroup classification. by Ningning Wang (560944)

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The values of angiotensin II by Ningning Wang (560944)

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Spearman correlation matrix analysis of the RAAS system and glucose metabolism indexes at different hypertension subgroups. by Ningning Wang (560944)

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General characterization of T2DM patients and healthy controls. by Ningning Wang (560944)

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Antihypertensive treatment of 151 T2DM patients with hypertension at different subgroups. by Ningning Wang (560944)

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Spearman correlation matrix analysis of the RAAS system and glucose metabolism indexes at different normotension subgroups. by Ningning Wang (560944)

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Spearman correlation matrix analysis of the RAAS system and glucose metabolism indexes in hypertensive (A) and normotensive (B) patients. by Ningning Wang (560944)

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Univariate linear regression analysis of scales. by Xiangyu Wang (341093)

Survey-weighted association of flavonoids and six subclasses intake with MASLD. by Yuwei He (1565941)

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Survey-weighted baseline characteristic of the study population by MASLD. by Yuwei He (1565941)

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Weighted Quantile Sum model regression index weights for the MASLD. by Yuwei He (1565941)

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Association between flavonoid intakes and metabolic dysfunction-associated steatotic liver disease (MASLD) using a Restricted Cubic Spline regression model, adjusted for age, sex,... by Yuwei He (1565941)

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The flowchart of the sample selection from NHANES 2007-2010, 2017-2018. by Yuwei He (1565941)

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Results of the linear models for the amplitudes (in <i>μ</i>V) of the components P1, N1, P2, and N400. by Elena Bolt (20396190)

The relationship between longer TV watching time and risk of cognitive impairment. by Hattapark Dejakaisaya (22238613)

BMI groups by SES. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”