Anemia and insomnia: a cross-sectional study and meta-analysis
Abstract. Background. Several recent genome-wide association studies suggested insomnia and anemia may share some common genetic components. We thus examined whether adults with anemia had higher odds of having insomnia relative to those without anemia in a cross-sectional study and a meta-analysis....
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer
2021-03-01
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| Series: | Chinese Medical Journal |
| Online Access: | http://journals.lww.com/10.1097/CM9.0000000000001306 |
| _version_ | 1818650872598495232 |
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| author | Samantha N. Neumann Jun-Juan Li Xiao-Dong Yuan Shuo-Hua Chen Chao-Ran Ma Laura E. Murray-Kolb Yun Shen Shou-Ling Wu Xiang Gao Xiu-Yuan Hao |
| author_facet | Samantha N. Neumann Jun-Juan Li Xiao-Dong Yuan Shuo-Hua Chen Chao-Ran Ma Laura E. Murray-Kolb Yun Shen Shou-Ling Wu Xiang Gao Xiu-Yuan Hao |
| author_sort | Samantha N. Neumann |
| collection | DOAJ |
| description | Abstract. Background. Several recent genome-wide association studies suggested insomnia and anemia may share some common genetic components. We thus examined whether adults with anemia had higher odds of having insomnia relative to those without anemia in a cross-sectional study and a meta-analysis.
Methods. Included in this cross-sectional study were 12,614 Chinese adults who participated in an ongoing cohort, the Kailuan Study. Anemia was defined as hemoglobin levels below 12.0 g/dL in women and 13.0 g/dL in men. Insomnia was assessed using the Chinese version of the Athens Insomnia Scale (AIS). A total AIS score ≥6 was considered insomnia. The association between anemia and insomnia was assessed using a logistic regression model, adjusting for potential confounders such as age, sex, chronic disease status, and plasma C-reactive protein concentrations. A meta-analysis was conducted using the fixed effects model to pool results from our study and three previously published cross-sectional studies on this topic in adult populations.
Results. Individuals with anemia had greater odds of having insomnia (adjusted odds ratio [OR]: 1.32; 95% confidence interval [CI]: 1.03–1.70) compared with individuals without anemia. A significant association persisted after we excluded individuals with chronic inflammation, as suggested by C-reactive protein levels >1 mg/L (adjusted OR: 1.68; 95% CI: 1.22–2.32). The meta-analysis results, including 22,134 participants, also identified a positive association between anemia and insomnia (pooled OR: 1.39; 95% CI: 1.22–1.57).
Conclusions. The presence of anemia was significantly associated with a higher likelihood of having insomnia in adults. Due to the nature of the cross-sectional study design, results should be interpreted with caution. |
| first_indexed | 2024-12-17T01:57:07Z |
| format | Article |
| id | doaj.art-ecc2544538534a579603d45bdde13fb2 |
| institution | Directory Open Access Journal |
| issn | 0366-6999 2542-5641 |
| language | English |
| last_indexed | 2024-12-17T01:57:07Z |
| publishDate | 2021-03-01 |
| publisher | Wolters Kluwer |
| record_format | Article |
| series | Chinese Medical Journal |
| spelling | doaj.art-ecc2544538534a579603d45bdde13fb22022-12-21T22:07:56ZengWolters KluwerChinese Medical Journal0366-69992542-56412021-03-01134667568110.1097/CM9.0000000000001306202103200-00008Anemia and insomnia: a cross-sectional study and meta-analysisSamantha N. NeumannJun-Juan LiXiao-Dong YuanShuo-Hua ChenChao-Ran MaLaura E. Murray-KolbYun ShenShou-Ling WuXiang GaoXiu-Yuan HaoAbstract. Background. Several recent genome-wide association studies suggested insomnia and anemia may share some common genetic components. We thus examined whether adults with anemia had higher odds of having insomnia relative to those without anemia in a cross-sectional study and a meta-analysis. Methods. Included in this cross-sectional study were 12,614 Chinese adults who participated in an ongoing cohort, the Kailuan Study. Anemia was defined as hemoglobin levels below 12.0 g/dL in women and 13.0 g/dL in men. Insomnia was assessed using the Chinese version of the Athens Insomnia Scale (AIS). A total AIS score ≥6 was considered insomnia. The association between anemia and insomnia was assessed using a logistic regression model, adjusting for potential confounders such as age, sex, chronic disease status, and plasma C-reactive protein concentrations. A meta-analysis was conducted using the fixed effects model to pool results from our study and three previously published cross-sectional studies on this topic in adult populations. Results. Individuals with anemia had greater odds of having insomnia (adjusted odds ratio [OR]: 1.32; 95% confidence interval [CI]: 1.03–1.70) compared with individuals without anemia. A significant association persisted after we excluded individuals with chronic inflammation, as suggested by C-reactive protein levels >1 mg/L (adjusted OR: 1.68; 95% CI: 1.22–2.32). The meta-analysis results, including 22,134 participants, also identified a positive association between anemia and insomnia (pooled OR: 1.39; 95% CI: 1.22–1.57). Conclusions. The presence of anemia was significantly associated with a higher likelihood of having insomnia in adults. Due to the nature of the cross-sectional study design, results should be interpreted with caution.http://journals.lww.com/10.1097/CM9.0000000000001306 |
| spellingShingle | Samantha N. Neumann Jun-Juan Li Xiao-Dong Yuan Shuo-Hua Chen Chao-Ran Ma Laura E. Murray-Kolb Yun Shen Shou-Ling Wu Xiang Gao Xiu-Yuan Hao Anemia and insomnia: a cross-sectional study and meta-analysis Chinese Medical Journal |
| title | Anemia and insomnia: a cross-sectional study and meta-analysis |
| title_full | Anemia and insomnia: a cross-sectional study and meta-analysis |
| title_fullStr | Anemia and insomnia: a cross-sectional study and meta-analysis |
| title_full_unstemmed | Anemia and insomnia: a cross-sectional study and meta-analysis |
| title_short | Anemia and insomnia: a cross-sectional study and meta-analysis |
| title_sort | anemia and insomnia a cross sectional study and meta analysis |
| url | http://journals.lww.com/10.1097/CM9.0000000000001306 |
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