Literature DB >> 35210338

Prevalence and risk factors of senile pruritus: a systematic review and meta-analysis.

Shi Chen1, Faquan Zhou2,3, Yiquan Xiong4.   

Abstract

OBJECTIVES: To systematically assess the prevalence and risk factors for senile pruritus (SP) in the elderly (≥60 years of age).
DESIGN: A meta-analysis was used to pool the prevalence and risk factors for SP estimated from individual studies. Four subgroup analyses were conducted to explore the prevalence for SP in different age, sex, research sites and region. SETTING, PARTICIPANTS AND MEASURES: SP reduces quality of life in the elderly, yet the worldwide prevalence is unclear. Moreover, the risk factors for SP are controversial. Data from cross-sectional studies, case-control studies, longitudinal studies and cohort studies that reported the prevalence or the risk factors for SP were collected by searching nine electronic databases up to October 2020, including Web of Science, PubMed, Embase, Cochrane Library, CINAHL, CBM, CNKI, Wanfang and VIP. Two reviewers independently screened studies according to the inclusion and exclusion criteria, extracted data and assessed methodological quality. Data analysis was performed using Stata V.15.1 software.
RESULTS: Seventeen studies involving 28 666 participants were included. The overall pooled prevalence of SP was 21.04% (95% CI 11.37% to 32.72%). In addition, the results showed that smoking, excessive drinking and monophagism were possible risk factors for SP, with pooled ORs of 1.26 (95% CI 1.14 to 1.40), 25.03 (95% CI 18.28 to 34.25) and 1.22 (95% CI 1.12 to 1.33), respectively.
CONCLUSIONS: The overall prevalence of SP was high. Smoking, excessive drinking and monophagism were possible risk factors for SP. PROSPERO REGISTRATION NUMBER: CRD42019143295. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  dermatological epidemiology; geriatric dermatology; perinatology

Mesh:

Year:  2022        PMID: 35210338      PMCID: PMC8883222          DOI: 10.1136/bmjopen-2021-051694

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


To our knowledge, this study is the first systematic review and meta-analysis providing comprehensive assessment on the prevalence of senile pruritus (SP) in worldwide. The risk factors of SPs are evaluated. This systematic review and meta-analysis, covering five different countries, was composed of 17 studies, with 28 666 participants were included. The definitions of SP differed across the included studies.

Introduction

The geriatric population (≥60 years of age) has been growing steadily worldwide in recent decades. It is estimated that the geriatric population will account for 20% of the world’s population by the middle of this century.1–3 Ageing results in numerous adverse changes in the structure and function of multiple human organs, including the skin.4 Senile pruritus (SP) is defined as generalised pruritus in patients without primary skin lesions.5–8 Pruritus is the most common skin disorder in the geriatric population.9 It can lead to an unpleasant cutaneous sensation, which provokes the desire to scratch (itchiness) and is accompanied by skin lesions, pain and infection.10 Furthermore, it can lead to adverse consequences for patients’ psychological health and quality of life, including anxiety, depression, disruption of normal sleep patterns and poor daytime concentration.10 11 Therefore, investigating the prevalence of SP is essential for informing policymakers, clinicians, and the general population. The prevalence of SP has been reported around the world, ranging from 41% in Thailand,12 40.6% in America,13 18.9% in Italy14 and 14.2% in China.15 However, these studies were limited by sample size and regional differences, and therefore do not represent the prevalence of SP worldwide. Furthermore, several studies conducted surveys on inpatients or outpatients to report the prevalence of SP.1 11 16 17 Inpatients or outpatients do not represent the whole elderly population, making the results less representative of the actual prevalence of SP in the community. For these reasons, the precise prevalence and characteristics of the population are unknown worldwide. Furthermore, the risk factors for SP have been reported extensively, but with controversial conclusions.18 19 For example, Yang et al indicated that smoking was associated with SP (OR 2.23, 95% CI 1.35 to 17.40).18 However, Chen et al reported that smoking was not associated with SP (OR 1.25, 95% CI 0.99 to 1.35).19 In this study, we conducted a systematic review and meta-analysis to synthesise the prevalence of SP in different ages, sexes and regions based on the general population and to evaluate the risk factors for SP.

Materials and methods

Protocol registration

This study was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.20

Search strategy

Nine databases were searched in this study, including Web of Science, PubMed, Embase, Cochrane Library, CINAHL, CBM, CNKI, Wanfang and VIP. The following strategy was used in the searches: (Pruritus OR Itching) AND (Senile OR Aging OR Aged OR Geriatrics) AND (Incidence OR Epidemiology OR Prevalence OR Risk factors). Complete details of the search strategy are available in online supplemental table S1. All of the databases were searched from their inception dates to the 24 October 2020. Additional relevant literature was included following a manual search of the included studies reference lists.

Inclusion and exclusion criteria

The inclusion criteria were as follows: (1) the study design was either cross-sectional study, case–control study, cohort study or longitudinal study; (2) participants were greater than or equal to 60 years of age; (3) exact diagnostic criteria for SP were provided and (4) prevalence or risk factors for SP were reported. The exclusion criteria were as follows: (1) the study populations were inpatients and outpatients; (2) the prevalence or risk factor effect value (mainly referred to as OR in this study) of SP was not clearly reported in the original study, and the data provided by the original study couldn't calculate the prevalence or risk factor effect value of SP; (3) republished literature and (4) or studies published in a language other than Chinese or English.

Quality of the studies

Two independent reviewers assessed the quality of the included studies according to 11 criteria recommended by the American Agency for Healthcare Research and Quality. The criteria included assessment of selection bias, performance bias, attrition bias, detection bias and publication bias. An item would be scored ‘1’ if it was answered ‘YES’, and if it was answered ‘NO’ or ‘UNCLEAR’, then the item scored ‘0’,21 providing a maximum score of 11.

Data extraction

Study selection and data extraction were independently conducted by two reviewers. Any disagreement was resolved by discussion the two reviewers or a third reviewer. The articles were first screened by the title and abstract, and then full-text documents were reviewed for inclusion if they reported the prevalence and risk factors for SP. By using a standardised and pilot-tested form, two reviewers independently extracted data from eligible studies, including the title, first author name, publication year, study location, age, sample size, diagnostic criteria, prevalence and risk factors for SP.

Data analysis

Double arcsine transformation was used to convert the prevalence of SP so that the data can follow an approximately normal distribution.22 The ORs with their corresponding 95% CIs were selected to assess the effect size of risk factors for SP. Heterogeneity among studies was tested by Cochrane’s Q and I2 statistics. Heterogeneity was recognised as significant when I2 >50%. A fixed-effect model (Mantel and Haenszel method) was used if I2 ≤50%, otherwise a random-effects model (DerSimonian and Laird method) was used.23 Forest plots were constructed for a visual display of the pooled results if necessary. Four subgroup analyses were conducted to explore the prevalence for SP in different age, sex, research sites and region. Sensitivity analysis were assessed by excluding single studies. Publication bias was assessed by using Begg’s and Egger’s tests.24 Tests of publication bias and sensitivity analysis were not conducted in the risk factor analysis section due to the limited number of studies included. Statistical analyses were conducted using STATA V.15.1 (Stata).

Results

Study description

A total of 8518 records were identified from the 9 databases, of which 647 were duplicates. After screening titles and abstracts, 7740 records were excluded with reasons of age, outcome, study design. Full-text documents of 131 records were screened, and 114 studies were excluded with reasons listed as follows: participants were not ≥60 years of age (n=49), outcome was not SP (n=44), not cross-sectional, case–control, cohort or longitudinal study (n=9), non-Chinese and English study (n=5), duplicate publication (n=7). In summary, 17 studies were eligible and included in the meta-analysis finally (figure 1).
Figure 1

Flow chart of the study selection process.

Flow chart of the study selection process.

Characteristics of the included studies

The characteristics of the 17 studies are summarised in table 1. Eleven articles were written in Chinese,18 19 25–33 and six were written in English.34–39 Thirteen studies were conducted in Asia18 19 25–33 35 37 and four in Europe.34 36 38 39 Sample sizes ranged from 4539 to 8252.36 Four of the 17 studies reported the risk factors for SP.18 19 26 33
Table 1

Characteristics of included studies

AuthorsPublication yearsStudy areaDiagnostic criteriaSample sizePrevalence(%)Risk factors
Dalgard et al342004Norway38766.91NA
Li et al252000ChinaNA53412.36NA
Xue272008ChinaNA31119.29NA
Ni et al282012China4265.63NA
Zhang292012ChinaNA12839.90NA
Li et al302014China50033.40NA
Wu and Zhang312014China128642.38NA
Yang et al322014ChinaNA500033.84NA
Tseng et al352014ChinaNA3137.35NA
Miller et al362016Denmark82526.31NA
Kara et al372017TurkeyNA10519.05NA
Cowdell et al382017Britain11169.32NA
Dyhre-Petersen and Gazerani392019Denmark4528.89NA
Ge et al262006China123666.91Age, xerosis, astriction
Yang et al182009China378561.98Less water intake; bathing with soap; baths too much; smoking; malignant tumour.
Chen et al192015China20010.50Bathing with soap; smoking; chronic illness; excessive drinking; monophagism; Insomnia; contact with animal
Hou and Zhang332016China39818.09Smoking; chronic illness; excessive drinking; monophagism; insomnia; contact with animal

Diagnostic criteria: ① self-reported skin complaints scale; ② participants ≥60 years, an itch lasting more than 2 weeks, pruritus of whole body or multiple parts, no primary rash, no other pruritic skin disease, no obvious liver and kidney damage, diabetes and mental disease; ③ dermatology and venereology; ④ clinical dermatology; ⑤dermatovenerolog; ⑥ self-report skin diseases scale;38 ⑦ self-report skin diseases scale.

NA, not available.

Characteristics of included studies Diagnostic criteria: ① self-reported skin complaints scale; ② participants ≥60 years, an itch lasting more than 2 weeks, pruritus of whole body or multiple parts, no primary rash, no other pruritic skin disease, no obvious liver and kidney damage, diabetes and mental disease; ③ dermatology and venereology; ④ clinical dermatology; ⑤dermatovenerolog; ⑥ self-report skin diseases scale;38 ⑦ self-report skin diseases scale. NA, not available.

Risk of bias assessment

Results of the risk of bias assessment are listed in online supplemental table S2. Higher scores indicative of less bias and more quality. Article quality was assessed as follows: 0–3 indicates a low quality, 4–7 indicates a moderate quality and 8–11 indicates a high quality.40 Study quality was found to be moderate in 11 studies and high in the other six studies.

Prevalence of SP

Seventeen studies, involving 28 666 participants reported the prevalence of SP, ranging from 5.63% to 66.91%. A random-effects model-based meta-analysis showed that the pooled prevalence of SP was 21.04% (95% CI 11.37% to 32.72%). Subgroup analyses indicated that the pooled prevalence of SP for people aged 60–69, 70–79, 80–89 and ≥90 years old were 11.98% (95% CI 3.91% to 23.62%), 26.79% (95% CI 8.71% to 50.36%), 51.31% (95% CI 47.20% to 96.33%) and 57.53% (95% CI 8.18% to n98.09%), respectively. The pooled prevalence of SP was 8.26% (95% CI 5.88% to 11.00%) in females and 18.65% (95% CI 0.83% to 51.61%) in males. The pooled prevalence of SP in health examination centres, nursing homes and communities was 43.83% (95% CI 19.39% to 69.94%), 16.26% (95% CI (4.55% to 33.29%) and 12.21% (95% CI 3.46% to 25.34%), respectively. The pooled prevalence of SP in Turkey and China was 24.34% (95% CI 14.03% to 36.38%). The pooled prevalence of SP in Norway, Denmark and Britain was 8.23% (95% CI 6.36% to 10.35%). The results of subgroup analyses of age, sex, research site and region are shown in table 2.
Table 2

Subgroup analyses by age, sex, research sites and region

SubgroupPrevalence (%)95% CI (%)Heterogeneity
I2 (%)P value
Age
 60–6911.983.91 to 23.6298.10.000
 70–7926.798.71 to 50.3699.70.000
 80–8951.3147.20 to 96.3399.60.000
 ≥9057.538.18 to 98.0999.00.000
Sex
 Females8.265.88 to 11.0087.40.000
 Males18.650.83 to 51.6199.90.000
Research sites
 Health examination centre43.8319.39 to 69.9499.80.000
 Nursing homes16.264.55 to 33.2993.20.000
 Community12.213.46 to 25.3499.80.000
Region
 Turkey, China24.3414.03 to 36.3899.60.000
 Norway, Denmark, Britain8.236.36 to 10.3590.20.000
Subgroup analyses by age, sex, research sites and region

Risk factors

Four studies, including 5619 participants, reported the risk factors for SP.18 19 26 33 There were three studies,18 19 33 including 4383 participants, that reported the association of smoking and SP. Meta-analyses showed smoking was associated with SP (pooled OR of 1.26 (95% CI 1.14 to 1.40), I2=0%). The results of two studies,19 33 involving 598 participants, suggested that excessive drinking increased the occurrence of SP (pooled OR of 25.03 (95% CI 18.28 to 34.25), I2=0%). Two studies19 33 involving 589 participants reported the association of monophagism and SP (pooled OR of 1.22 (95% CI 1.12 to 1.33), I2=0%) (table 3).
Table 3

Pooled risk factors of senile pruritus

No.Risk factorsOR95% CIP valueHeterogeneity
I2 (%)P value
1Smoking1.261.14 to 1.400.0000%0.673
2Excessive drinking25.0318.28 to 34.250.0000%0.980
3Monophagism1.221.12 to 1.330.0000%0.926
Pooled risk factors of senile pruritus

Sensitivity analysis

Sensitivity analysis was performed by excluding a single study and showed that the results of the meta-analysis were stable (18.61%–22.23%). Sensitivity analysis was not conducted for the risk factor analysis due to the limited number of studies.

Publication bias

Publication bias was assessed by using Begg’s and Egger’s tests. Begg’s (Z=0.70, p=0.484) and Egger’s test (t=0.26, p=0.796) results showed that the possibility of publication bias was less in the overall prevalence pooled analysis. Publication bias was not assessed in the risk factor analysis due to the limited number of studies.

Discussion

In this study, 17 studies involving 28 666 participants were included encompassing Norway, China, Denmark, Turkey and Britain. Subgroup analyses found that the difference in the prevalence of SP based on epidemiological factors. Subgroup analyses indicated that a steadily increasing prevalence of SP was associated with increasing age. Xerosis is related to ageing and is reported as the most common cause of SP.41–43 One of the skin’s most important functions is to retain water. skin surface lipids and sebum on the skin helps retain water.44 As skin ages, there is a decrease in lipids and sebum on the skin, leading to suboptimal moisture retention.42 It was reported that pruritus can also be secondary to diabetes, kidney disease, liver disease, etc.44 45 Furthermore, pruritus is commonly listed as a medication complication,46 including ACE inhibitors, salicylates, chloroquine and calcium channel blockers.44 However, elderly people have more basic diseases and complex medication, which also contributed to the higher incidence of pruritus. Another view is that SP is probably a subclinical neuropathy, degenerative change in peripheral nerve endings may be attributable to age. This age alteration can cause pruritus without specific stimuli.7 In addition, immunosenescence occurs with ageing and also produces a higher incidence of pruritus.42 Moreover, decreases in androgen, oestrogen and glucocorticoid in aged people can contribute to SP.47 48 All these factors will increase the prevalence of SP with age. The results of subregional analyses found that individuals who were living in Turkey and China were associated with a higher prevalence of SP. Pruritus is influenced by multiple factors, such as genetic, biological, psychological, social, environmental and cultural factors.49 Different countries vary in society, culture and environment, genetic, biological and psychological factors also differ among populations in different countries. Therefore, the different prevalence among countries is related to the above factors. The results of subsex found that the prevalence of male is higher. Subresearch sites analyses found that the highest prevalence of SP was found in health examination centres. The reasons for these results are unclear based on the current scientific knowledge available on SP prevalence. Further studies would be helpful in further exploring these phenomena. In conclusion, the prevalence of SP varies among different populations. However, the reasons underlying the differences in prevalence observed in the current study remain unclear. It is suggested that further studies of the prevalence of SP in different populations be conducted in the future. Meta-analyses showed that smoking, excessive drinking, and monophagism were possible risk factors for SP. It has been shown that smoking can cause nutrient and oxygen deprivation in cutaneous tissues, decreases collagen and elastin fibres in the dermis, and increases keratinocyte dysplasia.50 These changes reduce skin lipids, sebum and moisture retention, leading to dryness and pruritus of skin.51 52 Therefore, smoking is a potential risk factor for SP. This study also identified drinking alcohol as a potential risk factor for SP. Studies have demonstrated that alcohol consumption could reduce the concentration of carotenoids in the skin.53 Carotenoids can neutralise free radicals, delay premature skin ageing and skin diseases caused by free radicals.53–55 It could be proposed that alcohol consumption may lead to skin diseases by affecting the concentration of carotenoids. The human body cannot synthesise carotenoids in sufficient amounts without relying on a nutrient rich diet including fruit and vegetables. Therefore, monophagism could contribute to reducing the concentration of carotenoids and it could be considered a risk factors for skin diseases. Regrettably, the specific types of monophagism wasn't pointed out in the included study, which prevented further analysis and discussion. We expect that follow-up studies will explore and investigate this. In addition, point out the participants' dietary structure and specific types of monophagism. Although this study indicated smoking, excessive drinking and monophagism were associated with an increased risk of SP, all the studies included in the meta-analysis were cross-sectional. Consequently, It is not possible to infer on the causality between exposure and outcomes. Further studies are needed to confirm these findings. In addition to the three risk factors identified through the meta-analyses, the included studies also showed that the risk factors for SP also include age, xerosis, astriction, less water intake, bathing with soap, bathing too frequently, malignant tumour, chronic illness, excessive drinking, insomnia and contact with animals. To the best of our knowledge, this study is the first to provide a systematic review of SP prevalence and risk factors. However, several limitations of this study should be noted. First, The epidemiological data on SP was only from Norway, China, Turkey, Britain and Denmark, which cannot be generalised to the worldwide population. Second, the methods of identifying SP varied among the included studies, the definitions of SP may not be uniform among investigators and researchers in different countries, the study of different countries may not be unified in assessing the prevalence of SP, making it difficult to analyse the prevalence of SP using a gold standard method. These limitations make we less confident that the final estimate is close to a ‘true’ estimate. Considering these limitations, further studies will be needed to better understand the prevalence and risk factors of SP worldwide.

Conclusion

In conclusion, this study found the prevalence of SP was 21.04%. Individuals who were older, male or living in Turkey and China were associated with a higher prevalence of SP. Additionally, among health examination centres, nursing homes and communities, the highest detection rate of SP was found in the health examination centres. Smoking, excessive drinking and monophagism were possible individual risk factors for SP.
  36 in total

1.  Pruritus in the elderly: clinical approaches to the improvement of quality of life.

Authors:  Kenneth R Cohen; Jerry Frank; Rebecca L Salbu; Igor Israel
Journal:  P T       Date:  2012-04

Review 2.  Intrinsic and extrinsic factors in skin ageing: a review.

Authors:  M A Farage; K W Miller; P Elsner; H I Maibach
Journal:  Int J Cosmet Sci       Date:  2008-04       Impact factor: 2.970

Review 3.  Statistical controversies in clinical research: publication bias evaluations are not routinely conducted in clinical oncology systematic reviews.

Authors:  D Herrmann; P Sinnett; J Holmes; S Khan; C Koller; M Vassar
Journal:  Ann Oncol       Date:  2017-05-01       Impact factor: 32.976

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Authors:  Hui-Wen Tseng; Hing-Chung Lam; Luo-Ping Ger; Chih-Kuang Liang; Huei-Han Liou; Chieh-Shan Wu
Journal:  Aging Clin Exp Res       Date:  2014-07-19       Impact factor: 3.636

Review 5.  A Literature Review of Senile Pruritus: From Diagnosis to Treatment.

Authors:  Caroline-Jade Clerc; Laurent Misery
Journal:  Acta Derm Venereol       Date:  2017-04-06       Impact factor: 4.437

Review 6.  Pruritus in the elderly.

Authors:  Adam Reich; Sonja Ständer; Jacek C Szepietowski
Journal:  Clin Dermatol       Date:  2011 Jan-Feb       Impact factor: 3.541

7.  Self-reported skin morbidity in Oslo. Associations with sociodemographic factors among adults in a cross-sectional study.

Authors:  F Dalgard; A Svensson; J Ø Holm; J Sundby
Journal:  Br J Dermatol       Date:  2004-08       Impact factor: 9.302

8.  Elderly Hospitalised Patients-The Impact of Itch and its Prevalence.

Authors:  Yee Leng Teoh; Rachael Yl Teo; Benson Yeo; Kim Hwa Lim; Mark Ja Koh
Journal:  Ann Acad Med Singap       Date:  2016-04       Impact factor: 2.473

9.  Itch in Elderly People: A Cross-sectional Study.

Authors:  Radomir Reszke; Rafał Białynicki-Birula; Karolina Lindner; Małgorzata Sobieszczańska; Jacek C Szepietowski
Journal:  Acta Derm Venereol       Date:  2019-10-01       Impact factor: 4.437

10.  Metaprop: a Stata command to perform meta-analysis of binomial data.

Authors:  Victoria N Nyaga; Marc Arbyn; Marc Aerts
Journal:  Arch Public Health       Date:  2014-11-10
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