<p>Sleep duration is a modifiable behavioral factor that may influence endocrine regulation, yet its specific association with thyroid function among thyroid cancer patients has not been fully elucidated. Thyroid hormones—including thyroid-stimulating hormone (TSH), triiodothyronine (T3), and thyroxine (T4)—are key regulators of metabolism and are sensitive to sleep-related circadian changes. This study included 1 204 participants from a Chinese clinical thyroid cancer cohort (2022–2024). Sleep duration was categorized as short (≤ 6&#xa0;h), normal (7–8&#xa0;h), and long (≥ 9&#xa0;h). Baseline characteristics were compared using χ<sup>2</sup> and ANOVA tests (Table <InternalRef RefID="Tab1">1</InternalRef>). Multivariable linear regression models evaluated associations between sleep duration and serum TSH, T3, and T4 levels, adjusting for demographic and clinical covariates. Piecewise linear regression and locally weighted scatterplot smoothing (LOESS) curves assessed nonlinear dose–response patterns, while gender-stratified analyses explored effect modification. Participants with short or long sleep had significantly altered thyroid hormone profiles compared with those reporting 7–8&#xa0;h of sleep. In fully adjusted models, short sleep was associated with higher TSH (β = 0.48, 95% CI 0.40–0.56; <i>p</i> &lt; 0.001) and lower T3 (β = –0.045, 95% CI –0.061–; –0.029; <i>p</i> &lt; 0.001) and T4 (β = –0.318, 95% CI –0.437–; –0.198; <i>p</i> &lt; 0.001). Long sleep showed a weaker but consistent trend (TSH β = 0.53, 95% CI 0.44–0.62; <i>p</i> &lt; 0.001). Piecewise regression identified a threshold near 7&#xa0;h, confirming a U-shaped relationship between sleep duration and thyroid hormones. LOESS curves visually demonstrated this nonlinear pattern, and gender-stratified analyses revealed sex-specific differences in the association between sleep duration and thyroid hormones. Both insufficient and excessive sleep were associated with dysregulated thyroid hormone levels in thyroid cancer patients, indicating a nonlinear U-shaped relationship with an optimal sleep duration around 7&#xa0;h.<Table Float="Yes" ID="Tab1"> <Caption Language="En" xml:lang="en"> <CaptionNumber>Table 1</CaptionNumber> <CaptionContent> <p>Baseline characteristics of thyroid cancer patients stratified by sleep duration.</p> </CaptionContent> </Caption> <tgroup cols="6"> <colspec align="left" colname="c1" colnum="1" /> <colspec align="left" colname="c2" colnum="2" /> <colspec align="left" colname="c3" colnum="3" /> <colspec align="left" colname="c4" colnum="4" /> <colspec align="left" colname="c5" colnum="5" /> <colspec align="char" char="." colname="c6" colnum="6" /> <thead> <row> <entry align="left" colname="c1"> <p>Variable</p> </entry> <entry align="left" colname="c2"> <p>Overall (n = 1204)</p> </entry> <entry align="left" colname="c3"> <p>Short sleep (≤ 6&#xa0;h, n = 420)</p> </entry> <entry align="left" colname="c4"> <p>Normal sleep (7–8&#xa0;h, n = 532)</p> </entry> <entry align="left" colname="c5"> <p>Long sleep (≥ 9&#xa0;h, n = 252)</p> </entry> <entry align="left" colname="c6"> <p><i>p</i>-value</p> </entry> </row> </thead> <tbody> <row> <entry align="left" colname="c1" nameend="c6" namest="c1"> <p><i>Sex, n (%)</i></p> </entry> </row> <row> <entry align="left" colname="c1"> <p>Female</p> </entry> <entry align="left" colname="c2"> <p>856 (71.1)</p> </entry> <entry align="left" colname="c3"> <p>303 (72.1)</p> </entry> <entry align="left" colname="c4"> <p>366 (68.8)</p> </entry> <entry align="left" colname="c5"> <p>187 (74.2)</p> </entry> <entry align="char" char="." colname="c6"> <p>0.249</p> </entry> </row> <row> <entry align="left" colname="c1"> <p>Male</p> </entry> <entry align="left" colname="c2"> <p>348 (28.9)</p> </entry> <entry align="left" colname="c3"> <p>117 (27.9)</p> </entry> <entry align="left" colname="c4"> <p>166 (31.2)</p> </entry> <entry align="left" colname="c5"> <p>65 (25.8)</p> </entry> <entry align="char" char="." colname="c6" /> </row> <row> <entry align="left" colname="c1" nameend="c6" namest="c1"> <p><i>Hypertension, n (%)</i></p> </entry> </row> <row> <entry align="left" colname="c1"> <p>No</p> </entry> <entry align="left" colname="c2"> <p>683 (56.7)</p> </entry> <entry align="left" colname="c3"> <p>229 (54.5)</p> </entry> <entry align="left" colname="c4"> <p>316 (59.4)</p> </entry> <entry align="left" colname="c5"> <p>138 (54.8)</p> </entry> <entry align="char" char="." colname="c6"> <p>0.25</p> </entry> </row> <row> <entry align="left" colname="c1"> <p>Yes</p> </entry> <entry align="left" colname="c2"> <p>521 (43.3)</p> </entry> <entry align="left" colname="c3"> <p>191 (45.5)</p> </entry> <entry align="left" colname="c4"> <p>216 (40.6)</p> </entry> <entry align="left" colname="c5"> <p>114 (45.2)</p> </entry> <entry align="char" char="." colname="c6" /> </row> <row> <entry align="left" colname="c1" nameend="c6" namest="c1"> <p><i>Diabetes, n (%)</i></p> </entry> </row> <row> <entry align="left" colname="c1"> <p>No</p> </entry> <entry align="left" colname="c2"> <p>954 (79.2)</p> </entry> <entry align="left" colname="c3"> <p>335 (79.8)</p> </entry> <entry align="left" colname="c4"> <p>430 (80.8)</p> </entry> <entry align="left" colname="c5"> <p>189 (75.0)</p> </entry> <entry align="char" char="." colname="c6"> <p>0.162</p> </entry> </row> <row> <entry align="left" colname="c1"> <p>Yes</p> </entry> <entry align="left" colname="c2"> <p>250 (20.8)</p> </entry> <entry align="left" colname="c3"> <p>85 (20.2)</p> </entry> <entry align="left" colname="c4"> <p>102 (19.2)</p> </entry> <entry align="left" colname="c5"> <p>63 (25.0)</p> </entry> <entry align="char" char="." colname="c6" /> </row> <row> <entry align="left" colname="c1" nameend="c6" namest="c1"> <p><i>Stroke, n (%)</i></p> </entry> </row> <row> <entry align="left" colname="c1"> <p>No</p> </entry> <entry align="left" colname="c2"> <p>1166 (96.8)</p> </entry> <entry align="left" colname="c3"> <p>410 (97.6)</p> </entry> <entry align="left" colname="c4"> <p>513 (96.4)</p> </entry> <entry align="left" colname="c5"> <p>243 (96.4)</p> </entry> <entry align="char" char="." colname="c6"> <p>0.53</p> </entry> </row> <row> <entry align="left" colname="c1"> <p>Yes</p> </entry> <entry align="left" colname="c2"> <p>38 (3.2)</p> </entry> <entry align="left" colname="c3"> <p>10 (2.4)</p> </entry> <entry align="left" colname="c4"> <p>19 (3.6)</p> </entry> <entry align="left" colname="c5"> <p>9 (3.6)</p> </entry> <entry align="char" char="." colname="c6" /> </row> <row> <entry align="left" colname="c1"> <p>Age, years</p> </entry> <entry align="left" colname="c2"> <p>56.8 ± 8.2</p> </entry> <entry align="left" colname="c3"> <p>54.8 ± 7.4</p> </entry> <entry align="left" colname="c4"> <p>56.5 ± 8.2</p> </entry> <entry align="left" colname="c5"> <p>60.8 ± 8.0</p> </entry> <entry align="char" char="." colname="c6"> <p> &lt; 0.001</p> </entry> </row> <row> <entry align="left" colname="c1"> <p>BMI, kg/m<sup>2</sup></p> </entry> <entry align="left" colname="c2"> <p>25.6 ± 2.9</p> </entry> <entry align="left" colname="c3"> <p>26.5 ± 2.8</p> </entry> <entry align="left" colname="c4"> <p>25.3 ± 2.8</p> </entry> <entry align="left" colname="c5"> <p>24.6 ± 2.8</p> </entry> <entry align="char" char="." colname="c6"> <p> &lt; 0.001</p> </entry> </row> <row> <entry align="left" colname="c1"> <p>Cotinine, ng/mL</p> </entry> <entry align="left" colname="c2"> <p>90.0 ± 30.5</p> </entry> <entry align="left" colname="c3"> <p>90.3 ± 30.4</p> </entry> <entry align="left" colname="c4"> <p>91.8 ± 30.0</p> </entry> <entry align="left" colname="c5"> <p>85.6 ± 31.3</p> </entry> <entry align="char" char="." colname="c6"> <p>0.029</p> </entry> </row> <row> <entry align="left" colname="c1"> <p>TSH, mIU/L</p> </entry> <entry align="left" colname="c2"> <p>2.94 ± 0.65</p> </entry> <entry align="left" colname="c3"> <p>3.14 ± 0.58</p> </entry> <entry align="left" colname="c4"> <p>2.66 ± 0.62</p> </entry> <entry align="left" colname="c5"> <p>3.21 ± 0.60</p> </entry> <entry align="char" char="." colname="c6"> <p> &lt; 0.001</p> </entry> </row> <row> <entry align="left" colname="c1"> <p>T3, ng/dL</p> </entry> <entry align="left" colname="c2"> <p>1.46 ± 0.12</p> </entry> <entry align="left" colname="c3"> <p>1.44 ± 0.12</p> </entry> <entry align="left" colname="c4"> <p>1.48 ± 0.12</p> </entry> <entry align="left" colname="c5"> <p>1.45 ± 0.11</p> </entry> <entry align="char" char="." colname="c6"> <p> &lt; 0.001</p> </entry> </row> <row> <entry align="left" colname="c1"> <p>T4, µg/dL</p> </entry> <entry align="left" colname="c2"> <p>8.22 ± 0.92</p> </entry> <entry align="left" colname="c3"> <p>8.05 ± 0.91</p> </entry> <entry align="left" colname="c4"> <p>8.36 ± 0.90</p> </entry> <entry align="left" colname="c5"> <p>8.21 ± 0.94</p> </entry> <entry align="char" char="." colname="c6"> <p> &lt; 0.001</p> </entry> </row> </tbody> </tgroup> <tfooter> <p>Data are expressed as <i>mean</i> ± <i>standard deviation (SD)</i> or <i>n (%).</i></p> <p><i>p</i>-values were calculated using one-way ANOVA for continuous variables and χ<sup>2</sup> tests for categorical variables.</p> <p><i>TSH</i> thyroid-stimulating hormone, <i>T3</i> triiodothyronine, <i>T4</i> thyroxine, <i>BMI</i> body mass index.</p> </tfooter> </Table></p>

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Nonlinear association between sleep duration and thyroid hormone levels in patients with thyroid cancer

  • Wenbo Zhao,
  • Hongyu Tan,
  • Yuhao Yan,
  • Jiaqi Zhang

摘要

Sleep duration is a modifiable behavioral factor that may influence endocrine regulation, yet its specific association with thyroid function among thyroid cancer patients has not been fully elucidated. Thyroid hormones—including thyroid-stimulating hormone (TSH), triiodothyronine (T3), and thyroxine (T4)—are key regulators of metabolism and are sensitive to sleep-related circadian changes. This study included 1 204 participants from a Chinese clinical thyroid cancer cohort (2022–2024). Sleep duration was categorized as short (≤ 6 h), normal (7–8 h), and long (≥ 9 h). Baseline characteristics were compared using χ2 and ANOVA tests (Table 1). Multivariable linear regression models evaluated associations between sleep duration and serum TSH, T3, and T4 levels, adjusting for demographic and clinical covariates. Piecewise linear regression and locally weighted scatterplot smoothing (LOESS) curves assessed nonlinear dose–response patterns, while gender-stratified analyses explored effect modification. Participants with short or long sleep had significantly altered thyroid hormone profiles compared with those reporting 7–8 h of sleep. In fully adjusted models, short sleep was associated with higher TSH (β = 0.48, 95% CI 0.40–0.56; p < 0.001) and lower T3 (β = –0.045, 95% CI –0.061–; –0.029; p < 0.001) and T4 (β = –0.318, 95% CI –0.437–; –0.198; p < 0.001). Long sleep showed a weaker but consistent trend (TSH β = 0.53, 95% CI 0.44–0.62; p < 0.001). Piecewise regression identified a threshold near 7 h, confirming a U-shaped relationship between sleep duration and thyroid hormones. LOESS curves visually demonstrated this nonlinear pattern, and gender-stratified analyses revealed sex-specific differences in the association between sleep duration and thyroid hormones. Both insufficient and excessive sleep were associated with dysregulated thyroid hormone levels in thyroid cancer patients, indicating a nonlinear U-shaped relationship with an optimal sleep duration around 7 h.

Variable

Overall (n = 1204)

Short sleep (≤ 6 h, n = 420)

Normal sleep (7–8 h, n = 532)

Long sleep (≥ 9 h, n = 252)

p-value

Sex, n (%)

Female

856 (71.1)

303 (72.1)

366 (68.8)

187 (74.2)

0.249

Male

348 (28.9)

117 (27.9)

166 (31.2)

65 (25.8)

Hypertension, n (%)

No

683 (56.7)

229 (54.5)

316 (59.4)

138 (54.8)

0.25

Yes

521 (43.3)

191 (45.5)

216 (40.6)

114 (45.2)

Diabetes, n (%)

No

954 (79.2)

335 (79.8)

430 (80.8)

189 (75.0)

0.162

Yes

250 (20.8)

85 (20.2)

102 (19.2)

63 (25.0)

Stroke, n (%)

No

1166 (96.8)

410 (97.6)

513 (96.4)

243 (96.4)

0.53

Yes

38 (3.2)

10 (2.4)

19 (3.6)

9 (3.6)

Age, years

56.8 ± 8.2

54.8 ± 7.4

56.5 ± 8.2

60.8 ± 8.0

 < 0.001

BMI, kg/m2

25.6 ± 2.9

26.5 ± 2.8

25.3 ± 2.8

24.6 ± 2.8

 < 0.001

Cotinine, ng/mL

90.0 ± 30.5

90.3 ± 30.4

91.8 ± 30.0

85.6 ± 31.3

0.029

TSH, mIU/L

2.94 ± 0.65

3.14 ± 0.58

2.66 ± 0.62

3.21 ± 0.60

 < 0.001

T3, ng/dL

1.46 ± 0.12

1.44 ± 0.12

1.48 ± 0.12

1.45 ± 0.11

 < 0.001

T4, µg/dL

8.22 ± 0.92

8.05 ± 0.91

8.36 ± 0.90

8.21 ± 0.94

 < 0.001

Data are expressed as mean ± standard deviation (SD) or n (%).

p-values were calculated using one-way ANOVA for continuous variables and χ2 tests for categorical variables.

TSH thyroid-stimulating hormone, T3 triiodothyronine, T4 thyroxine, BMI body mass index.

Table 1

Baseline characteristics of thyroid cancer patients stratified by sleep duration.