Skip to main content
Erschienen in: BMC Public Health 1/2023

Open Access 01.12.2023 | Research

The relationship between depression and benign prostatic hyperplasia in middle-aged and elderly men in India: a large-scale population study

verfasst von: Xiaoyang Liu, Kai Ma, Luchen Yang, Zhufeng Peng, Pan Song, Zhenghuan Liu, Jing Zhou, Yunfei Yu, Qiang Dong

Erschienen in: BMC Public Health | Ausgabe 1/2023

Abstract

Background

There have been few investigations on the association between depression and benign prostatic hyperplasia (BPH). This study aims to explore the correlation between depression and BPH among middle-aged and older men in India.

Methods

We utilized data from male individuals aged 45 years and older who participated in the initial wave (2017–2018) of the Longitudinal Aging Study in India (LASI). The presence of BPH symptoms was based on self-reported information, while depressive symptoms were evaluated using CESD-10. The analysis was a cross-sectional study conducted on a final sample size of 30,108 male participants. To examine associations, we employed multivariate logistic regression analysis along with subgroup analysis and interaction tests.

Results

A total of 439 (1.46%) men reported BPH and had a higher depression score (10.18 ± 4.22 vs. 9.28 ± 4.00). The findings indicated a significant association between the depression score and the likelihood of developing BPH, even after accounting for all potential confounding variables (OR = 1.054, 95% CI: 1.030–1.078, p < 0.00001). The participants were then categorized into a depression group and a normal group based on their CESD-10 score, using a threshold of 10 to ascertain the existence or nonexistence of depression. After adjusting for all variables in model IV, the findings continued to exhibit statistical significance (OR = 1.611, CI: 1.327–1.955, p < 0.00001). Significant interaction effects of age, education level, caste or tribe, and alcohol consumption were observed (p for interaction < 0.05).

Conclusion

Our research found that BPH was significantly linked to the presence of depressive symptoms among middle-aged and elderly Indian men. Additional prospective research is necessary to clarify this association and investigate potential mechanisms.
Begleitmaterial
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12889-023-17027-2.
Xiaoyang Liu, Kai Ma and Luchen Yang contributed equally to this work.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Benign prostatic hyperplasia (BPH), characterized by urinary retention and incontinence, is the most prevalent urologic condition in elderly men. The occurrence of BPH often manifests once male individuals reach the age of 40 and exhibits an upward trend as time progresses. Specifically, it impacts around 25% of males in their 50 s, 33% of males in their 60 s, and 50% of males in their 80 s [1, 2]. Bladder Outlet Obstruction occurs when the prostate physically compresses the urethra as a consequence of an increase in stromal cells and prostate epithelial cells, which also led to lower urinary tract symptoms (LUTS) including obstructive voiding symptoms and irritable voiding symptoms [3].
Depression is a significant global health concern, posing a substantial danger to the overall welfare of about 350 million individuals globally, with a special emphasis on elderly people [4]. Based on pertinent academic investigations, it has been observed that depression has a negative impact on cognitive functioning and overall quality of life. Additionally, individuals affected by depression have an elevated possibility of developing chronic comorbidities, including cardiovascular disease and diabetes [5, 6]. Therefore, it is crucial to investigate the prospective geriatric diseases associated with depression.
Various risk factors, including metabolic syndrome, overweight, sex hormone levels, and inflammation, have been recognized as contributors to the higher prevalence of BPH [3]. In addition, depression may have an impact on the body's hormone metabolism and systemic inflammation [79]. Previous research has shown a notable association between the level of severe depressive symptoms and a decline in overall testosterone levels within the male bloodstream [10]. And depression may activate fundamental inflammatory signaling networks that might lead to the proliferation of prostatic cells, subsequently causing hyperplasia of the prostate. The potential influence of depression on prostate health may be attributed to changes in circadian rhythm control, fluctuations in sex hormone levels, and modifications in nervous system feedback mechanisms. Both of these illnesses are frequently observed in elderly males, but their association remains obscure. The negative effects of BPH may contribute to depression, and vice versa, depression may trigger the development of BPH in the mechanism mentioned previously [11]. Limited research has provided a few possibilities. Xiong found that depression may be associated with LUTS suggestive of BPH in a study involving 5125 participants [11]. Despite this, insufficient evidence exists to elucidate the association between BPH and depression. Therefore, the objective of this investigation was to investigate any potential associations between depression and the occurrence of BPH. As one of the illnesses impacting the quality of life of middle-aged and older men, the widespread incidence of BPH exacerbates their suffering as well as the economic and medical burden on our society [12]. Our results might help to create new approaches to avoiding BPH and improving the quality of life for elderly people.

Method

Data resource

The data used in this study were sourced from LASI Wave 1, a nation-wide comprehensive study of the psychological, physiological, social, and economic wellbeing of elderly adults in India, harmonized with the worldwide Health and Retirement Study and its sister studies (https://​g2aging.​org/​). The LASI Wave 1 included a total of 73,396 individuals aged 45 years and older, representing India and all its 35 states or union territories except the state of Sikkim. LASI adopted a multistage stratified area probability cluster sampling design. Within each state, a three-stage sampling design in rural areas and a four-stage sampling design in urban areas were followed to select households for the study. Specifically, the first stage involved the selection of a primary sampling unit, and the second stage involved the selection of villages in rural areas and wards in urban areas in the selected primary sampling units. In rural areas, households were selected from selected villages in the third stage. However, sampling in urban areas involved an additional stage in the third stage, namely one census enumeration block, which was randomly selected in each urban ward. And in the fourth stage, households were selected from this census enumeration block. In our study, female individuals were excluded because prostatic hyperplasia is a male disease, and participants without data on the benign prostatic hyperplasia and depression scales were also excluded. Figure 1 illustrates the overall number of individuals that were enrolled in the research. All participants provided their formal assent by signing a recorded consent form, the specifics of which may be seen on the official LASI Wave 1 website.

Definition of depression and BPH

Symptoms of depression were obtained through a questionnaire as the outcome. The depressive signs and symptoms of the participants were assessed using the CESD-10, a shortened version of the CESD-20, which is a widely used tool for evaluating depression symptoms in the general population [13]. Ten CESD-10 questions were used to assess the depressive symptoms of participants in the LASI study. Respondents were rated “During the past week, was the following true for you much of the time” on 4 levels, namely “Rarely or never (less than 1 day)”;” Sometimes (1 or 2 days)”; “Often (3 or 4 days)”; “Most or all of the time (5–7 days)”, which corresponds to a score of 0–3 according to the question. The participants were categorized into groups based on their CESD-10 score, using a threshold of 10 to ascertain the existence or nonexistence of depression (individuals with a depression score below 10 were classified as having symptoms of depression) [14].
Benign prostate hyperplasia was self-reported and evaluated by asking the following question: "Have you ever been diagnosed with any of the following urogenital conditions or diseases with options including BPH?".

Covariates

In order to account for any potential confounding variables, this study included specific parameters that have been shown to influence the development of BPH. The age was quantified in units of years. Education was classified into four categories: above higher secondary, secondary and higher secondary, middle school, or under and never educated. In light of India's unique ethnic structure, the population has been categorized into no or other castes, other backward class, scheduled tribe, and those belonging to scheduled caste. In terms of marital status, there were three categories: widowed, married or partnered, and others. Residential locations were classified into two distinct categories: rural and urban. Underweight (< 18.5 kg/m2), normal (18.5–25 kg/m2), and overweight (> 25 kg/m2) BMI categories were established. On the basis of frequency, classifications were made for consumption of alcohol (heavy, moderate, light, never), physical activity frequent, sometimes, seldom, never), and consumption of cigarettes (heavy, moderate, light, never). Furthermore, we identified many chronic disorders as potential confounding factors, based on the inquiry: "Has a health professional ever diagnosed you with any of the following chronic conditions or diseases?". This involved prior medical diagnoses such as hypertension, hyperlipidemia, malignancy, cardiovascular diseases, respiratory illness, cerebrovascular accidents, musculoskeletal disorders, and any neurological disorders. The missing covariate variables were imputed using multivariate imputation techniques that rely on predictive mean matching approaches.

Statistical analysis

Standard deviations and means are used to represent continuous variables in the baseline characteristics, whereas rates and percentages are utilized to illustrate categorical variables. The Kruskal–Wallis test was utilized for determining p-values for continuous variables, without requiring the data to conform to assumptions of normality and homogeneity of variance. In contrast, chi-square tests were employed to analyze categorical data. The Fisher exact test was applied when the theoretical number < 10 [15].
The depression score was initially treated as a continuous variable. Then, since we used a CESD-10 total score threshold of 10 to determine the existence or nonexistence of depressive symptoms, we divided the participants into two groups: the normal group and the depression group. We utilized multivariate logistic regression analysis to investigate the relationship between depression and BPH, adjusting for a number of covariates to reduce the influence of additional confounding variables on the investigation's outcomes. Model I was adjusted merely for age groups. Model II, on the other hand, was adjusted for age group, caste/tribe, residence, marital status, and education level. Additionally, Model III added variables including tobacco consumption, alcohol consumption, and physical activity to Model II. In the present study, Model IV was adjusted for additional various covariates including BMI, hypertension, diabetes, high cholesterol, tumor, chronic lung disease, chronic heart disease, stroke, bone or joint disease, and neurological or psychiatric disorder. We conducted interaction analyses to examine the heterogeneity of the association between depression and BPH stratified by covariates. The participants were categorized into four unique groups based on age cutoffs of 60, 70, and 80. Subgroup analyses were conducted using stratified logistic regression models, and the p-value for interaction was determined using the log-likelihood ratio test, which involved comparing models with and without covariate interactions. A significance level of 0.05 was considered to be statistically significant for all the statistical findings in this study. All analyses were performed using R version 4.2.2.

Results

Baseline characteristics

There are a total of 30,108 participants in the study, including 17,991 participants with no depressive symptoms and 12,117 participants with depressive symptoms and individuals’ baseline characteristics was listed on Table 1. At baseline level, there is evidence to suggest that males diagnosed with benign prostatic hyperplasia (BPH) exhibit elevated levels of depression compared to those who do not have (depression score: 10.18 ± 4.22 vs. 9.28 ± 4.00), and participants with BPH are more likely to have depressive symptoms (52.16% vs. 40.07%). Simultaneously, it was observed that the BPH group had a higher average age compared to the non-BPH group (63.97 ± 10.99 vs. 59.94 ± 10.57). Furthermore, there were statistically significant differences (P < 0.001) in caste/tribe, educational levels, alcohol consumption, hypertension, diabetes, high cholesterol, chronic heart disease, and bone or joint disease between the group with BPH and without.
Table 1
Baseline characteristics of the participants selection (BPH: benign prostatic hyperplasia, SD: standard deviation, BMI: Body Mass Index Mean, SD for continuous variables: P value was calculated by Kruskal–Wallis rank-sum test, Number (%) for categorical variables: P value was calculated by chi-square test
  
BPH
 
  
No
Yes
P
  
n = 29,669
n = 439
 
Age (mean ± (SD))
 
59.94 ± 10.57
63.97 ± 10.99
 < 0.001
Depression score (mean ± (SD))
 
9.28 ± 4.00
10.18 ± 4.22
 < 0.001
Age class (%)
 < 60
15,168 (51.12)
155 (35.31)
 < 0.001
 < 70
8691 (29.29)
147 (33.49)
 
 < 80
4357 (14.69)
91 (20.73)
 
 >  = 80
1453 (4.90)
46 (10.48)
 
Depression class (%)
 < 10
17,781 (59.93)
210 (47.84)
 < 0.001
 >  = 10
11,888 (40.07)
229 (52.16)
 
Caste/tribe (%)
Scheduled caste
4857 (16.49)
68 (15.56)
 < 0.001
Scheduled trible
5271 (17.90)
36 (8.24)
 
Other backward class
11,332 (38.48)
158 (36.16)
 
No or other caste
7990 (27.13)
175 (40.05)
 
Residence (%)
Rural
19,477 (65.65)
277 (63.10)
0.287
Urban
10,192 (34.35)
162 (36.90)
 
Marital status (%)
Married
26,049 (87.80)
379 (86.33)
0.212
Widowed
2662 (8.97)
49 (11.16)
 
Others
957 (3.23)
11 (2.51)
 
Education level (%)
Never
9231 (31.11)
115 (26.20)
 < 0.001
Middle school or under
12,375 (41.71)
156 (35.54)
 
Secondary and higher secondary
5774 (19.46)
122 (27.79)
 
Above higher secondary
2289 (7.72)
46 (10.48)
 
BMI (%)
underweight
5182 (19.09)
61 (14.70)
0.077
normal
15,438 (56.87)
249 (60.00)
 
overweight
6525 (24.04)
105 (25.30)
 
Tobacco consumption (%)
Never
13,230 (44.63)
188 (42.92)
0.205
light
8145 (27.48)
109 (24.89)
 
moderate
6332 (21.36)
105 (23.97)
 
vigorous
1937 (6.53)
36 (8.22)
 
Alcohol consumption (%)
Never
19,607 (66.13)
276 (63.16)
 < 0.001
light
5721 (19.30)
118 (27.00)
 
moderate
2885 (9.73)
29 (6.64)
 
heavy
1435 (4.84)
14 (3.20)
 
Physical activity (%)
never
14,945 (50.41)
235 (53.65)
0.057
seldom
2851 (9.62)
50 (11.42)
 
sometimes
2521 (8.50)
41 (9.36)
 
frequent
9332 (31.47)
112 (25.57)
 
Hypertension (%)
no
22,331 (75.28)
278 (63.33)
 < 0.001
yes
7331 (24.72)
161 (36.67)
 
Diabetes (%)
no
25,757 (86.85)
349 (79.50)
 < 0.001
yes
3901 (13.15)
90 (20.50)
 
High cholesterol (%)
no
28,748 (96.91)
409 (93.17)
 < 0.001
yes
918 (3.09)
30 (6.83)
 
Tumor (%)
no
29,515 (99.49)
433 (98.63)
0.031
yes
150 (0.51)
6 (1.37)
 
Chronic lung disease (%)
no
27,885 (94.00)
400 (91.12)
0.016
yes
1781 (6.00)
39 (8.88)
 
Chronic heart diseases (%)
no
28,445 (95.88)
404 (92.03)
 < 0.001
yes
1221 (4.12)
35 (7.97)
 
Stroke (%)
no
29,030 (97.86)
430 (97.95)
1
yes
636 (2.14)
9 (2.05)
 
Bone or joint diseases (%)
no
26,370 (88.89)
349 (79.50)
 < 0.001
yes
3296 (11.11)
90 (20.50)
 
Neurological or psychiatric problem (%)
no
29,026 (97.86)
423 (96.36)
0.048
yes
636 (2.14)
16 (3.64)
 

Association between depression and benign prostatic hyperplasia

The results of multivariate logistic regression analyses examining the association between depression and the likelihood of developing BPH among study participants are shown in Table 2. In the crude model, the correlation between depression symptoms and the likelihood of BPH indicated that elderly individuals with a high depression score had an increased risk of developing BPH (OR: 1.631; 95% CI: 1.351–1.970, P < 0.00001). After controlling for age, the odds ratio (OR) of Model I was found to be 1.557 (CI: 1.288–1.882, p < 0.00001). The link between the variables in Model II (OR: 1.637; 95% CI: 1.352 -1.982, p < 0.00001) and Model III (OR: 1.656; 95% CI: 1.367 -2.007, p < 0.00001) remained consistent even after accounting for several possible confounding factors. After adjusting for all variables in model IV, the findings continued to exhibit statistical significance (OR = 1.611, CI: 1.327—1.955, p < 0.00001). Based on the findings of Model I in the regression analysis, it can be inferred that age potentially serves as a risk factor influencing the association between depression and BPH. It follows from Model III that physical activity, alcohol consumption, and cigarette consumption may all contribute to this connection. The findings of Model IV indicate that the presence of comorbidities significantly influences the overall relevance. Besides, when the CESD-10 score was analyzed as a continuous variable, the results of Model IV revealed a statistically significant association between depression and BPH after adjusting for all potential confounding variables (OR = 1.054, 95% CI: 1.030–1.078, p < 0.00001).
Table 2
Multivariate regression model of the relationship between depression and the risk of benign prostatic hyperplasia–sensitivity analysis
Exposure
Crude model
Model I
Model II
Model III
Model IV
OR (95%CI)
P-value
OR (95%CI)
P-value
OR (95%CI)
P-value
OR (95%CI)
P-value
OR (95%CI)
P-value
Depression score
1.054 ( 1.031, 1.077)
p < 0.00001
1.048 ( 1.025, 1.071)
0.00004
1.055 ( 1.032, 1.079)
p < 0.00001
1.058 ( 1.035, 1.082)
p < 0.00001
1.054 ( 1.03, 1.078)
p < 0.00001
Depression class
1.631 ( 1.351, 1.97)
p < 0.00001
1.557 ( 1.288, 1.882)
p < 0.00001
1.637 ( 1.352, 1.982)
p < 0.00001
1.656 ( 1.367, 2.007)
p < 0.00001
1.611 ( 1.327, 1.955)
p < 0.00001
Crude model adjust for none
Model I adjust for: age
Model II adjust for: age; caste; residence; marital status; education level
Model III adjust for: age; caste; residence; marital status; education level; tobacco consumption; alcohol consumption; physical activity
Model IV adjust for: age; caste; residence; marital status; education level; tobacco consumption; alcohol consumption; physical activity; BMI; Hypertension; Diabetes; High cholesterol; Tumor; Chronic lung disease; Chronic heart diseases; Stroke; Bone or joint diseases; Neurological or psychiatric problem
OR Odd ratio, CI Confidence interval, BMI Body mass index

Subgroup analysis

The findings from Fig. 2 indicate a significant correlation between depression score and the likelihood of BPH among the age segment, with the exception of those aged above 80. Furthermore, this correlation remained consistent across various demographic groups, including those with no education, middle school and under, secondary and higher secondary, scheduled caste/tribe and no or other caste. It also held consistent for individuals who were married, never or light tobacco consumption; never alcohol consumption; never, seldom, or frequent physical activity; and normal or underweight BMI groups. The results of the interaction test indicate that there is a significant impact of age, education level, caste/tribe, and alcohol consumption on the link between depression and BPH, which is supported by a statistically significant p-value for interaction.

Discussion

Currently, the worldwide trend toward aging is intensifying, with a growing percentage of the population being elderly [11]. As a large population with a severe aging problem, India is seeing a significant increase in its population, with a notable rise in the proportion of those aged 60 and over projected to occur between 2001 and 2031. This demographic shift is expected to result in an almost twofold increase, reaching around 20 percent by the middle of the century [16]. Common co-occurrence of depression and BPH in the elderly population necessitates additional research to confirm the validity of their association. The LASI, India's first research on aging conducted in 2017–2018 to investigate the physiological, economic, social, and psychological aspects of India's aging process, allowed us to explore the connection between these factors.
Numerous studies have examined the detrimental impact of BPH on quality of life, mainly about general health status and mental health [17, 18]. These studies consistently showed a significant amount of psychiatric morbidity among BPH patients. However, there are few studies on the reverse relationship between depression and BPH, which merits investigation. Several prior studies have established a correlation between depression and BPH symptoms [11, 17, 19], but their findings are difficult to generalize due to many drawbacks. Johnson et al. [19] found that male individuals with depression had American Urological Association Symptom Index scores that were 156% higher than patients without depression. However, they only took into account socioeconomic confounding variables such as education level and income, ignoring other clinical factors that cause LUTS. In addition, due to the statistical design, the cohort size of this study was limited, which might lead to a certain deviation in the conclusion. A prospective cohort investigation conducted by Xiong et al. [11] demonstrated that depressed participants in 2011 displayed higher risks of suffering LUTS/BPH in 2013 than the nondepressed group in a 1351 matched follow-up study. However, they also only adjusted for limited socioeconomic confounding factors such as age and education level, not considering patients’ physical status and history of chronic diseases. Patients with moderate to severe depression (compared to those reporting little depression) had a greater risk of experiencing lower urinary tract symptoms, according to a short-term prospective research done by Chung et al. on 2,890 Chinese males older than 65 years old [17]. However, this study only included elderly men aged ≥ 65 years, and the relationship between depression and prostatic hyperplasia in middle-aged men has not been explored.
Using LASI data, we analyzed the association between depression and BPH in middle- and elderly-aged adults. This research is the broadest population-based investigation on the link between depression and BPH in older individuals in low- and middle-income countries (LAMICs) in recent years. Furthermore, we took into account age, caste, residence, marital status, level of education, tobacco consumption, alcohol consumption, physical activity, body mass index, and a number of other chronic diseases as confounders in our analysis of the association between depression and BPH. Middle-aged and older people with more serious depressive symptoms were more likely to have BPH. After controlling for these possible confounding variables, there was still an association between depression and BPH, which may be connected to age and other diseases.
Although this study confirmed a link between depression and BPH, the mechanism behind this relationship is still unclear. This association may be a result of hormone metabolism and systemic inflammation. According to Gold's research [9], patients with depression have a dysregulated CRH/HPA axis, and hypersecretion of CRH can cause sustained hypercortisolism and excessive activation of the sympathetic nervous system, both of which exacerbate lower urinary tract symptoms due to BPH by affecting urethral smooth muscle via sympathetic innervation [20]. Systemic inflammation is another crucial potential mechanism. Previous research has demonstrated that major depressive disorder patients are in a proinflammatory state, with elevated levels of innate immune plasma mediators such as IL-6, TNF-a, and C-reactive protein [8, 9, 21]. These substances of general inflammation can end up with the proliferation of epithelial and stromal prostatic cells, followed by BPH [22]. Consequently, systemic inflammation, which mediates the association between depression and BPH, might contribute to an increase in BPH prevalence rate.
Although this research was conducted on a nationwide investigation, it did have a few limitations. Firstly, the majority of BPH diagnoses were based on self-report instead off more objective examinations such as prostatic ultrasonography, which might impact the diagnosis. As this was a cross-sectional study, it is plausible that the causal association between BPH and depression was not precisely determined; however, forthcoming prospective and intervention research could give a more comprehensive explanation. Lastly, certain covariables may be susceptible to recollection bias.

Conclusions

Our research found that BPH was significantly linked to the presence of depressive symptoms among middle-aged and elderly Indian men. Given the tremendous pace of population aging, it is essential that male individuals who are experiencing symptoms of depression prioritize their prostate health now in order to ensure their life quality. Furthermore, our research also demonstrated that middle-aged and older men with depressive symptoms had an increased likelihood of developing BPH. In addition, further prospective studies are necessary to elucidate this correlation and explore potential mechanisms.

Acknowledgements

This analysis uses data or information from the Harmonized LASI Wave 1 (Version A) Data developed by the Gateway to Global Aging Data. The development of the Harmonized LASI Wave 1 (Version A) Data was funded by the National Institute on Aging (R01 AG030153, RC2 AG036619, 1R03AG043052). For more information, please refer to www.​g2aging.​org. We would like to express our gratitude to the participants and researchers of the database we used for this investigation.

Conflict of interests

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Declarations

All data used in this study are all from the public domain.
Not applicable.

Competing interests

The authors declare no competing interests.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Anhänge

Supplementary Information

Literatur
1.
Zurück zum Zitat De Nunzio C, Aronson W, Freedland SJ, Giovannucci E, Parsons JK. The Correlation Between Metabolic Syndrome and Prostatic Diseases. Eur Urol. 2012;61(3):560–70.CrossRefPubMed De Nunzio C, Aronson W, Freedland SJ, Giovannucci E, Parsons JK. The Correlation Between Metabolic Syndrome and Prostatic Diseases. Eur Urol. 2012;61(3):560–70.CrossRefPubMed
2.
Zurück zum Zitat Miernik A, Gratzke C. Current Treatment for Benign Prostatic Hyperplasia. Dtsch Arztebl Int. 2020;117(49):843–54.PubMedPubMedCentral Miernik A, Gratzke C. Current Treatment for Benign Prostatic Hyperplasia. Dtsch Arztebl Int. 2020;117(49):843–54.PubMedPubMedCentral
3.
Zurück zum Zitat Barry MJ, Fowler FJ, O’leary MP, Bruskewitz RC, Holtgrewe HL, Mebust WK, et al. The American Urological Association Symptom Index for Benign Prostatic Hyperplasia. J Urol. 2017;197(2S):S189-97.CrossRefPubMed Barry MJ, Fowler FJ, O’leary MP, Bruskewitz RC, Holtgrewe HL, Mebust WK, et al. The American Urological Association Symptom Index for Benign Prostatic Hyperplasia. J Urol. 2017;197(2S):S189-97.CrossRefPubMed
4.
Zurück zum Zitat McDowell CP, Gordon BR, Herring MP. Sex-related differences in the association between grip strength and depression: Results from the Irish Longitudinal Study on Ageing. Exp Gerontol. 2018;104:147–52.CrossRefPubMed McDowell CP, Gordon BR, Herring MP. Sex-related differences in the association between grip strength and depression: Results from the Irish Longitudinal Study on Ageing. Exp Gerontol. 2018;104:147–52.CrossRefPubMed
8.
Zurück zum Zitat Miller AH, Raison CL. The role of inflammation in depression: from evolutionary imperative to modern treatment target. Nat Rev Immunol. 2016;16(1):22–34.CrossRefPubMedPubMedCentral Miller AH, Raison CL. The role of inflammation in depression: from evolutionary imperative to modern treatment target. Nat Rev Immunol. 2016;16(1):22–34.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Gold PW. The organization of the stress system and its dysregulation in depressive illness. Mol Psychiatry. 2015;20(1):32–47.CrossRefPubMed Gold PW. The organization of the stress system and its dysregulation in depressive illness. Mol Psychiatry. 2015;20(1):32–47.CrossRefPubMed
10.
Zurück zum Zitat Yesavage JA, Davidson J, Widrow L, Berger PA. Plasma testosterone levels, depression, sexuality, and age. Biol Psychiatry. 1985;20(2):222–5.CrossRefPubMed Yesavage JA, Davidson J, Widrow L, Berger PA. Plasma testosterone levels, depression, sexuality, and age. Biol Psychiatry. 1985;20(2):222–5.CrossRefPubMed
11.
Zurück zum Zitat Xiong Y, Zhang YC, Jin T, Qin F, Yuan JH. Depressive males have higher odds of lower urinary tract symptoms suggestive of benign prostatic hyperplasia: a retrospective cohort study based on propensity score matching. Asian J Androl. 2021;23(6):633–9.CrossRefPubMedPubMedCentral Xiong Y, Zhang YC, Jin T, Qin F, Yuan JH. Depressive males have higher odds of lower urinary tract symptoms suggestive of benign prostatic hyperplasia: a retrospective cohort study based on propensity score matching. Asian J Androl. 2021;23(6):633–9.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Speakman M, Kirby R, Doyle S, Ioannou C. Burden of male lower urinary tract symptoms (LUTS) suggestive of benign prostatic hyperplasia (BPH) - focus on the UK. BJU Int. 2015;115(4):508–19.CrossRefPubMed Speakman M, Kirby R, Doyle S, Ioannou C. Burden of male lower urinary tract symptoms (LUTS) suggestive of benign prostatic hyperplasia (BPH) - focus on the UK. BJU Int. 2015;115(4):508–19.CrossRefPubMed
13.
Zurück zum Zitat Boey KW. Cross-validation of a short form of the CES-D in Chinese elderly. Int J Geriatr Psychiatry. 1999;14(8):608–17.CrossRefPubMed Boey KW. Cross-validation of a short form of the CES-D in Chinese elderly. Int J Geriatr Psychiatry. 1999;14(8):608–17.CrossRefPubMed
14.
Zurück zum Zitat Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale). Am J Prev Med. 1994;10(2):77–84.CrossRefPubMed Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale). Am J Prev Med. 1994;10(2):77–84.CrossRefPubMed
15.
Zurück zum Zitat Ma K, Dong Q. Association between sleep quality and benign prostate hyperplasia among middle-aged and older men in India. BMC Public Health. 2023;14(23):1147.CrossRef Ma K, Dong Q. Association between sleep quality and benign prostate hyperplasia among middle-aged and older men in India. BMC Public Health. 2023;14(23):1147.CrossRef
17.
Zurück zum Zitat Chung RY, Leung JCS, Chan DCC, Woo J, Wong CKM, Wong SYS. Lower Urinary Tract Symptoms (LUTS) as a Risk Factor for Depressive Symptoms in Elderly Men: Results from a Large Prospective Study in Southern Chinese Men. PLoS ONE. 2013;8(9):e76017.CrossRefPubMedPubMedCentral Chung RY, Leung JCS, Chan DCC, Woo J, Wong CKM, Wong SYS. Lower Urinary Tract Symptoms (LUTS) as a Risk Factor for Depressive Symptoms in Elderly Men: Results from a Large Prospective Study in Southern Chinese Men. PLoS ONE. 2013;8(9):e76017.CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Breyer BN, Kenfield SA, Blaschko SD, Erickson BA. The association of lower urinary tract symptoms, depression and suicidal ideation: data from the 2005–2006 and 2007–2008 National Health and Nutrition Examination Survey. J Urol. 2014;191(5):1333–9.CrossRefPubMed Breyer BN, Kenfield SA, Blaschko SD, Erickson BA. The association of lower urinary tract symptoms, depression and suicidal ideation: data from the 2005–2006 and 2007–2008 National Health and Nutrition Examination Survey. J Urol. 2014;191(5):1333–9.CrossRefPubMed
19.
Zurück zum Zitat Johnson TV, Abbasi A, Ehrlich SS, Kleris RS, Chirumamilla SL, Schoenberg ED, et al. Major Depression Drives Severity of American Urological Association Symptom Index. Urology. 2010;76(6):1317–20.CrossRefPubMed Johnson TV, Abbasi A, Ehrlich SS, Kleris RS, Chirumamilla SL, Schoenberg ED, et al. Major Depression Drives Severity of American Urological Association Symptom Index. Urology. 2010;76(6):1317–20.CrossRefPubMed
20.
Zurück zum Zitat Jeong SM, Suh B, Jang SH, Jin HS, Kim N, Kwon H, et al. Depression and Its Severity Are Strongly Associated with Both Storage and Voiding Lower Urinary Tract Symptoms Independently of Prostate Volume. J Korean Med Sci. 2015;30(11):1646–51.CrossRefPubMedPubMedCentral Jeong SM, Suh B, Jang SH, Jin HS, Kim N, Kwon H, et al. Depression and Its Severity Are Strongly Associated with Both Storage and Voiding Lower Urinary Tract Symptoms Independently of Prostate Volume. J Korean Med Sci. 2015;30(11):1646–51.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Pace TWW, Mletzko TC, Alagbe O, Musselman DL, Nemeroff CB, Miller AH, et al. Increased stress-induced inflammatory responses in male patients with major depression and increased early life stress. Am J Psychiatry. 2006;163(9):1630–3.CrossRefPubMed Pace TWW, Mletzko TC, Alagbe O, Musselman DL, Nemeroff CB, Miller AH, et al. Increased stress-induced inflammatory responses in male patients with major depression and increased early life stress. Am J Psychiatry. 2006;163(9):1630–3.CrossRefPubMed
22.
Zurück zum Zitat Madersbacher S, Sampson N, Culig Z. Pathophysiology of Benign Prostatic Hyperplasia and Benign Prostatic Enlargement: A Mini-Review. Gerontology. 2019;65(5):458–64.CrossRefPubMed Madersbacher S, Sampson N, Culig Z. Pathophysiology of Benign Prostatic Hyperplasia and Benign Prostatic Enlargement: A Mini-Review. Gerontology. 2019;65(5):458–64.CrossRefPubMed
Metadaten
Titel
The relationship between depression and benign prostatic hyperplasia in middle-aged and elderly men in India: a large-scale population study
verfasst von
Xiaoyang Liu
Kai Ma
Luchen Yang
Zhufeng Peng
Pan Song
Zhenghuan Liu
Jing Zhou
Yunfei Yu
Qiang Dong
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2023
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-023-17027-2

Weitere Artikel der Ausgabe 1/2023

BMC Public Health 1/2023 Zur Ausgabe