| Literature DB >> 35784241 |
Xiaoshan Du1, Shuai Liu2, Peifei Jia1,3, Xiaodan Wang2, Jinghuan Gan4, Wenzheng Hu4, Han Zhu1, Yehua Song5, Jianping Niu5, Yong Ji1,2,4.
Abstract
Purpose: To investigate the epidemiological characteristics of constipation in people aged 65 years and older in several regions of China. Patients andEntities:
Keywords: constipation; elderly; epidemiology; prevalence; risk factors
Mesh:
Year: 2022 PMID: 35784241 PMCID: PMC9240593 DOI: 10.3389/fpubh.2022.823987
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Demographic characteristics of the study participants.
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| All study participants | 5,222 | 100% |
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| Male | 2,269 | 43.45% |
| Female | 2,953 | 56.55% |
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| 65–69 | 2,139 | 40.96% |
| 70–74 | 1,467 | 28.09% |
| 75–79 | 849 | 16.26% |
| ≥80 | 758 | 14.52% |
| MD | 9 | 0.17% |
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| 0 | 1,218 | 23.32% |
| 1–6 | 2,408 | 46.11% |
| 7–9 | 927 | 17.75% |
| 10–12 | 409 | 7.83% |
| >12 | 242 | 4.63% |
| MD | 18 | 0.34% |
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| Single | 45 | 0.86% |
| Married | 3,939 | 75.43% |
| Divorced | 45 | 0.86% |
| Widowed | 1,156 | 22.14% |
| MD | 37 | 0.71% |
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| With spouse | 3,599 | 68.92% |
| Without spouse | 1,115 | 21.35% |
| Alone | 508 | 9.73% |
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| Manual worker | 4,183 | 80.10% |
| Non-manual worker | 972 | 18.61% |
| MD | 67 | 1.28% |
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| 0–3 d/week | 2,336 | 44.73% |
| 4–7 d/week | 2,833 | 54.25% |
| MD | 53 | 1.01% |
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| <2h | 31 | 0.59% |
| 2–4h | 411 | 7.87% |
| 4–6h | 1,331 | 25.49% |
| 6–8h | 2,253 | 43.15% |
| ≥8 h | 953 | 18.25% |
| MD | 243 | 4.65% |
MD, Missing data.
Figure 1The number of different severity grades of constipation.
Figure 2The proportion of different severity grades in people with constipation.
Comparison of the prevalence of constipation between different groups.
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| 12.03 |
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| Male | 352 (15.5) | 1,917 (84.5) | ||
| Female | 567 (19.2) | 2,386 (80.8) | ||
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| 56.959 |
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| 65–69 | 299 (14.0) | 1,840 (86.0) | ||
| 70–74 | 263 (17.9) | 1,204 (82.1) | ||
| 75–79 | 159 (18.7) | 690 (81.3) | ||
| ≥80 | 197 (26.0) | 561 (74.0) | ||
| MD | – | – | ||
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| 6.000 | 0.199 | ||
| 0 | 219 (18.0) | 999 (82.0) | ||
| 1–6 | 432 (17.9) | 1,976 (82.1) | ||
| 7–9 | 146 (15.7) | 781 (84.3) | ||
| 10–12 | 67 (16.4) | 342 (83.6) | ||
| >12 | 53 (21.9) | 189 (78.1) | ||
| MD | – | – | ||
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| 1.813 | 0.612 | ||
| Single | 9 (20.0) | 36 (80.0) | ||
| Married | 691 (17.5) | 3,248 (82.5) | ||
| Divorced | 5 (11.1) | 40 (88.9) | ||
| Widow | 211 (18.3) | 945 (81.7) | ||
| MD | – | – | ||
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| 0.105 | 0.949 | ||
| With spouse | 632 (17.6) | 2,967 (82.4) | ||
| Without spouse | 195 (17.5) | 920 (82.5) | ||
| Alone | 92 (18.1) | 416 (81.9) | ||
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| 4.618 |
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| Manual worker | 713 (17.0) | 3,470 (83.0) | ||
| Non-manual worker | 194 (20.0) | 778 (80.0) | ||
| MD | – | – | ||
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| 0.161 | 0.688 | ||
| 0–3 d/week | 414 (17.7) | 1,922 (82.3) | ||
| 4–7 d/week | 490 (17.3) | 2,343 (82.7) | ||
| MD | – | – | ||
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| 30.951 |
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| <2h | 10 (32.3) | 21 (67.7) | ||
| 2–4h | 91 (22.1) | 320 (77.9) | ||
| 4–6h | 280 (21.0) | 1,051 (79.0) | ||
| 6–8h | 361 (16.0) | 1892 (84.0) | ||
| ≥8 h | 139 (14.6) | 814 (85.4) | ||
| MD | – | – | ||
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| 2.145 | 0.543 | ||
| <25 | 30 (16.4) | 153 (83.6) | ||
| 25–29 | 60 (17.5) | 283 (82.5) | ||
| 30–34 | 220 (19.2) | 923 (80.8) | ||
| ≥35 | 201 (20.1) | 797 (79.9) | ||
| MD | – | – | ||
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| 4.273 |
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| ≤ 3 | 422 (18.5) | 1,855 (81.5) | ||
| >3 | 127 (22.4) | 441 (77.6) | ||
| MD | – | – | ||
MD, Missing data. Bold values represent P value less than 0.05 to make the results distinct and obvious.
Logistic regression analysis of risk factors for constipation.
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| Male | 1 | – | – | |
| Female | 1.238 | 1.064 | 1.441 |
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| 65–69 | 1 | – | – | |
| 70–74 | 1.35 | 1.122 | 1.624 |
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| 75–79 | 1.421 | 1.144 | 1.765 |
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| ≥80 | 2.181 | 1.767 | 2.692 |
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| <2h | 2.395 | 1.095 | 5.239 |
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| 2–4h | 1.517 | 1.126 | 2.043 |
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| 4–6h | 1.534 | 1.225 | 1.921 |
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| 6–8h | 1.133 | 0.915 | 1.402 | 0.253 |
| ≥8 h | 1 | – | – | |
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| Non-manual worker | 1 | – | – | |
| Manual worker | 0.858 | 0.715 | 1.031 | 0.101 |
Bold values represent P value less than 0.05 to make the results distinct and obvious.