Search alternatives:
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
we decrease » _ decrease (Expand Search), teer decrease (Expand Search), use decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
we decrease » _ decrease (Expand Search), teer decrease (Expand Search), use decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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5021
BMI groups by SES.
Published 2025“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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5022
BMISES_Data_Part2.
Published 2025“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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5023
Logistic regression for LSES population.
Published 2025“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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5024
Logistic regression for HSES population.
Published 2025“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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5025
Logistic regression for overall population.
Published 2025“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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5026
BMISES_Data_Part1.
Published 2025“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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5027
Baseline characteristics of HSES/LSES population.
Published 2025“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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5028
Baseline characteristics of overall population.
Published 2025“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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5029
Diagram of study population.
Published 2025“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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5030
Testicular involution prior to sex change in gilthead seabream is characterized by a decrease in DMRT1 gene expression and by massive leukocyte infiltration-4
Published 2011“…<p><b>Copyright information:</b></p><p>Taken from "Testicular involution prior to sex change in gilthead seabream is characterized by a decrease in DMRT1 gene expression and by massive leukocyte infiltration"</p><p>http://www.rbej.com/content/5/1/20</p><p>Reproductive Biology and Endocrinology 2007;5():20-20.…”
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5031
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5032
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5033
Heavy Alkali Metal Arenedithiocarboxylates: A Facile Synthesis, Dimeric Structure, and Nonbonding Interaction between the Metals and Aromatic Ring Carbons
Published 1999“…Dithiocarboxylic acids and their trimethylsilyl esters were found to readily react with potassium, rubidium, and cesium fluorides to give the corresponding alkali metal dithiocarboxylates <b>3</b>−<b>5</b> in moderate to good yields. A series of tetramethylammonium dithiocarboxylates <b>8</b> have been prepared in good yields by the reaction of sodium dithiocarboxylates <b>7</b> with tetramethylammonium chloride. …”
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5034
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5035
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5036
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5037
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5038
Testicular involution prior to sex change in gilthead seabream is characterized by a decrease in DMRT1 gene expression and by massive leukocyte infiltration-3
Published 2011“…<p><b>Copyright information:</b></p><p>Taken from "Testicular involution prior to sex change in gilthead seabream is characterized by a decrease in DMRT1 gene expression and by massive leukocyte infiltration"</p><p>http://www.rbej.com/content/5/1/20</p><p>Reproductive Biology and Endocrinology 2007;5():20-20.…”
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5039
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5040