Literature DB >> 33239907

Association Between Serum 25-Hydroxyvitamin D Concentrations and Chronic Pain: Effects of Drinking Habits.

Keita Suzuki1, Hiromasa Tsujiguchi1,2,3, Sakae Miyagi3,4, Thao Thi Thu Nguyen2, Akinori Hara1,2,3, Haruki Nakamura2, Yukari Shimizu5, Koichiro Hayashi1, Yohei Yamada1, Phat Minh Nguyen2, Yuichi Tao2, Takayuki Kannon3,6, Atsushi Tajima3,6, Hiroyuki Nakamura1,2,3.   

Abstract

PURPOSE: Although the explanation for inconsistencies in the reported association between serum 25-hydroxyvitamin D [25(OH)D] levels and chronic pain (CP) has not yet been determined, understanding this discrepancy is necessary for the development of vitamin D supplementation as an effective treatment for CP. The aim of this cross-sectional study was to examine the relationship between 25(OH)D concentrations and CP according to drinking habits in Japanese subjects. PATIENTS AND METHODS: We distributed invitation letters to 2314 individuals older than 40 years in Shika town, a rural area in Japan, and 724 subjects (386 females; mean age: 63.9 ± 10.4 years) were recruited. CP was defined as persistent pain lasting at least 3 months in any part of the body. Serum concentrations of 25(OH)D, a biomarker of the vitamin D status, were measured using a radioimmunoassay. A serum 25(OH)D level <20 ng/mL was defined as serum 25(OH)D deficiency. Drinking habits were assessed using a self-administered questionnaire. There were three choices, "rarely drink", "sometimes" and "everyday". Respondents who answered "rarely drink" were labelled as non-drinkers and the others as drinkers.
RESULTS: The prevalence of CP was 40.6%. A significant interaction between CP and drinking habits on 25(OH)D concentrations was observed (p = 0.098). A one-way analysis of covariance was performed to compare 25(OH)D concentrations between the subjects with and without CP in each drinking group, and the serum 25(OH)D levels of subjects with CP were significantly lower than those without CP among drinkers (p = 0.007). A logistic regression analysis revealed a correlation between serum 25(OH)D deficiency and CP in drinkers after adjustments for several confounding factors (odds ratio: 0.499; 95% confidence interval: 0.268 - 0.927; p = 0.028).
CONCLUSION: The present results suggest that low serum 25(OH)D concentrations are associated with the development of CP in drinkers.
© 2020 Suzuki et al.

Entities:  

Keywords:  alcohol; cross-sectional analysis; epidemiology; pain; vitamin D

Year:  2020        PMID: 33239907      PMCID: PMC7682787          DOI: 10.2147/JPR.S277979

Source DB:  PubMed          Journal:  J Pain Res        ISSN: 1178-7090            Impact factor:   3.133


Introduction

The International Association for the Study of Pain (IASP) defines chronic pain (CP) as pain without an apparent biological cause that persists for longer than 3 months.1 A meta-analysis from the United Kingdom reported that the prevalence of CP ranged from 35.0% to 51.3%.2 Another review reported that 25%−76% of older people living in the community had CP.3 CP has a negative impact on health-related quality of life, work productivity and increases the risk of developing depression and anxiety.4 Furthermore, the national cost of pain in the United States in 2008 was estimated to be between 560 and 635 billion dollars.5 Therefore, the development of effective and reasonable treatments is urgently needed. Vitamin D is a vital hormone for optimal neuromuscular, bone, and immune functions, and its sources are dietary intake and cutaneous synthesis. Vitamin D is metabolized into 25-hydroxyvitamin D [25(OH)D] in the liver and then into 1,25-dihydroxyvitamin D [1,25(OH)2D] in the kidneys.6 Serum 25(OH)D concentrations are regarded as the most useful marker of the vitamin D status stored from sunlight exposure, dietary intake, supplements, and other factors.7 Interventional studies previously reported the efficacy of vitamin D supplementation for the treatment of CP as well as good patient adherence.8–10 However, the 2015 Cochrane review concluded that vitamin D was not significantly beneficial for various CP conditions.11 Although observational studies examined the relationship between 25(OH)D concentrations and CP, the findings obtained have been inconsistent.12–14 The reasons for these disparities have not yet been identified, but need to be clarified for the development of vitamin D supplementation as an effective treatment for CP. Several previous studies have reported that alcohol consumption is associated with a reduced risk of vitamin D deficiency,15,16 whereas other studies have reported a negative association17–19 or no association.20–22 Although alcohol has been shown to influence the expression of the parathyroid hormone23–25 or CYP24A1 induction26 in several studies, the mechanism underlying the association between alcohol and serum 25(OH)D levels remains unknown. However, one possibility is that alcohol consumption may affect CP by modulating the vitamin D status. Therefore, performing a subgroup analysis stratified by drinking habits is necessary to clearly evaluate the association between CP and serum 25(OH)D concentrations. Based on these studies, we hypothesized that alcohol consumption may affect the association between CP and 25(OH)D concentrations. Therefore, we herein investigated the association between CP and serum 25(OH)D concentrations among individuals who do and do not consume alcohol.

Materials and Methods

Study Design and Subjects

We utilized cross-sectional data gathered between 2011 and 2015 in the Shika study. The Shika study is a longitudinal community-based observational study that has been conducted among the residents of Shika town, located on Noto peninsula in Ishikawa prefecture, since 2011. The town has more than 20,000 residents, and the climate is humid subtropical. We recruited subjects from two model districts in the town for the present study. We invited all adults older than 40 years (n = 2314) in the districts to participate. A self-administrated questionnaire was delivered to all subjects by trained interviewers, who explained the outline of the Shika study and how to fill in the questionnaire. In total, 2199 subjects (95%) responded to the questionnaire, and 972 (42%) who underwent a comprehensive health examination were included. We omitted subjects with data missing on the variables used in the analysis. To avoid a treatment bias, we also excluded subjects who had been using vitamin D supplementation. Therefore, data collected from 724 subjects who completed the health examination and replied to the questionnaire were available for analysis in the present study. The details of recruitment are shown in Figure 1.
Figure 1

Flow chart of subject recruitment.

Flow chart of subject recruitment. The present study was conducted with the approval of the Ethics Committee of Kanazawa University (No.1491). All subjects provided written informed consent for inclusion before they participated in the present study. The study was conducted in accordance with the Declaration of Helsinki.

Pain Questions

We asked subjects “Have you been having any pain persisting for 3 months or longer?” on a self-administered questionnaire. The definition of CP was according to that presented by IASP.1 Subjects with CP were assigned to the CP group.

Serum 25(OH)D Measurement

Fasting blood samples were collected from all subjects at the health examination. Serum 25(OH)D concentrations were measured using a radioimmunoassay (RIA) (25-hydroxyvitamin D 125I RIA Kit, DiaSorin Inc., Stillwater, Minnesota, USA). Coefficients of variation for inter-assay of high-performance liquid chromatography (HPLC), competitive protein binding, and RIA, have been reported to be 8.4%, 14%, and <12%, respectively.27 A previous study that measured serum 25(OH)D levels using HPLC-atmospheric pressure chemical ionization-mass spectrometry, RIA, and chemiluminescent immunoassays reported that the RIA value was between that of the other two techniques.28 According to several previous reports, the minimum desirable serum 25(OH)D level is 20 ng/mL (50 nmol/L).29,30 Therefore, a serum 25(OH)D level <20 ng/mL was defined as serum 25(OH)D deficiency in this study.

Questions on Drinking Habits

The drinking habits of the participant were collected by questionnaire. We used a structured-question to ask if the participants drink alcohol or not. The participant was asked, “How often do you drink alcohol?” There were three choices, “rarely drink”, “sometimes” and “everyday”. We assigned subjects who answered “rarely drink” as “non-drinkers”, and the others as “drinkers” for the analysis.

Other Variables

We measured age, height, weight, grip strength, calf circumference, C-reactive protein (CRP), and the osteo sono-assessment index in all subjects at the health examination. Body mass index (BMI) was calculated as weight in kilograms divided by the square of height in meters. The values of grip strength and calf circumference were divided by body weight to adjust for the influence of physique, and these values were used in the analysis. To assess the smoking status and frequency of exercise, we used self-administered questionnaires. Subjects were classified into the following three groups according to their smoking status: the non-smoker group, the ex-smoker group, and the current smoker group. We also assigned subjects into three groups according to the frequency of walking for more than 30 min in 1 week as follows: more than 5 days, 1 to 4 days, and no exercise. The analgesics administration status was also assessed on the self-administered questionnaire. We evaluated the nutritional status using a brief-type self-administered diet history questionnaire (BDHQ) that asked subjects about the consumption frequency of 58 food and beverage items during the previous month. These items are mainly from the food list used in the National Health and Nutrition Survey of Japan and commonly consumed in Japan. The validity of BDHQ has been demonstrated in other studies, and is considered to have a satisfactory ranking ability for many nutrients in Japanese subjects.31,32 We excluded all subjects who reported a total energy intake of less than 600 kcal/day (half of the energy intake required for the lowest physical activity category) or more than 4000 kcal/day (1.5-fold the energy intake required for the moderate physical activity category) to avoid under/overestimations leading to bias in the analysis of other nutrients. We obtained data on total energy, protein, lipid, carbohydrate, and vitamin D intake, and nutrient data were adjusted for daily energy intake using the density method.

Statistical Analysis

We summarized continuous variables as means and standard deviation (SD), and presented categorical variables as numbers (N) and percentages (%). To compare differences in the mean levels of continuous variables and categorical variables between subjects with and without CP in each drinking group, the Student’s t-test and chi-squared test were used. A two-way analysis of covariance (ANCOVA) was performed to assess the interaction on serum 25(OH)D concentrations between the CP status and drinking habits with adjustments for sex, age, BMI, the smoking status, exercise habit, the analgesics administration status, the osteo sono-assessment index, grip strength/body weight, and calf circumference/body weight. To confirm differences in the adjusted serum 25(OH)D concentrations between the subjects with and without CP in each drinking habits group, we used a one-way ANCOVA with adjustments for sex, age, BMI, the smoking status, exercise habit, the analgesics administration status, the osteo sono-assessment index, grip strength/body weight, and calf circumference/body weight. The Bonferroni post hoc test was then conducted for multiple comparisons. A multiple logistic regression analysis was performed to examine the association between CP and the categorized 25(OH)D levels in each drinking group after adjustments for the following independent factors: sex, age, BMI, the smoking status, exercise habit, the analgesics administration status, the osteo sono-assessment index, grip strength/body weight, and calf circumference/body weight. We performed all statistical analyses using IBM SPSS Statistics version 21.0 (SPSS Inc., Armonk, NY, USA). A two-sided p-value < 0.05 was considered to be significant. A p-value < 0.10 was considered significant for the interaction test.

Results

Subject Characteristics

Table 1 shows the characteristics of subjects according to CP. The mean age of the 724 subjects analyzed in the present study was 63.9 ± 10.4 years. A total of 294 (40.6%) subjects had CP. Mean serum 25(OH)D concentrations in the groups with and without CP were 24.37 ± 8.25 and 23.58 ± 7.36 ng/mL, respectively. In total, 43.3% of non-CP subjects and 50.7% of CP subjects were drinkers.
Table 1

Subject Characteristics

TotalWithout CPWith CPp-value
Mean (n)SD (%)Mean (n)SD (%)Mean (n)SD (%)
Male (n, %)33846.719445.114449.00.306
Age (years)63.910.463.310.064.710.80.072
Height (cm)159.19.4158.98.8159.410.30.538
Weight (kg)59.211.059.011.159.510.90.617
BMI (kg/m2)23.33.223.33.323.33.20.845
CRP (mg/dL)0.150.570.120.450.180.710.160
Serum 25(OH)D (ng/mL)24.057.9024.378.2523.587.360.189
Total energy intake (kcal)1902.7581.11869.7553.11950.9617.70.065
Protein intake (g/1000kcal)14.833.1215.043.1514.533.060.029
Lipid intake (g/1000kcal)23.525.8723.725.6123.236.230.266
Carbohydrate intake (g/1000kcal)55.538.2955.428.4455.688.060.684
Vitamin D intake (μg/1000kcal)7.945.158.255.377.494.780.051
Grip strength/body weight (kgf/kg)0.530.120.540.120.520.120.109
Calf circumference/body weight (cm/kg)0.580.070.580.070.580.070.288
Osteo sono-assessment index2.610.362.620.362.600.360.642
Smoking status (n, %)0.842
 Non-smoker38453.023153.715352.0
 Ex-smoker21329.412328.69030.6
 Current smoker12717.57617.75117.3
Exercise habits (n, %)0.002
 More than 5 days/week24133.316237.77926.9
 1–4 days/week14520.08920.75619.0
 No exercise33846.717941.615954.1
Analgesics administration (n, %)0.010
 No68895.041696.727292.5
 Yes365.0143.3227.5
Drinking habits (n, %)0.049
 Non-drinker38953.724456.714549.3
 Drinker33546.318643.314950.7

Notes: p-values were from the Student’s t-test for continuous variables and the chi-squared test for categorical variables; p-values < 0.05 are in bold; Total, n = 724; Without CP, n = 430; With CP, n = 294.

Abbreviations: BMI, body mass index; CRP, C-reactive protein; 25(OH)D, 25-hydroxy vitamin D; CP, chronic pain; SD, standard deviation.

Subject Characteristics Notes: p-values were from the Student’s t-test for continuous variables and the chi-squared test for categorical variables; p-values < 0.05 are in bold; Total, n = 724; Without CP, n = 430; With CP, n = 294. Abbreviations: BMI, body mass index; CRP, C-reactive protein; 25(OH)D, 25-hydroxy vitamin D; CP, chronic pain; SD, standard deviation.

Subject Characteristics According to CP and Drinking Habits

Table 2 shows the subject characteristics according to CP and drinking habits. In non-drinkers, no significant differences were observed in 25(OH)D concentrations between the groups with and without CP, whereas among drinkers, a slight difference was noted between these groups (p = 0.072). Among non-drinkers, significant differences were found in grip strength/body weight (p = 0.002) and the osteo sono-assessment index (p = 0.011) between the groups with and without CP. Drinkers with CP had significantly lower protein (p = 0.014) and vitamin D intakes (p = 0.009) than those without CP.
Table 2

Comparison of Characteristics Between CP and Non-CP Subjects According to Drinking Habits

Non-Drinkerp-valueDrinkerp-value
Without CPWith CPWithout CPWith CP
Mean (n)SD (%)Mean (n)SD (%)Mean (n)SD (%)Mean (n)SD (%)
Male (n, %)6426.22718.60.08713069.911778.50.074
Age (years)64.510.366.210.50.10961.89.463.311.00.188
Height (cm)155.58.2153.88.70.053163.37.4164.88.80.112
Weight (kg)56.310.455.39.90.34062.611.063.510.30.444
BMI (kg/m2)23.23.323.33.50.73723.43.223.32.80.891
CRP (mg/dL)0.100.190.250.910.0500.150.650.120.440.687
Serum 25(OH)D (ng/mL)22.356.7721.826.400.44527.019.2425.307.830.072
Total energy intake (kcal)1759.8526.11829.7597.10.2292014.0555.82068.8616.50.394
Protein intake (g/1000kcal)15.253.0515.192.680.84014.783.2613.893.270.014
Lipid intake (g/1000kcal)24.435.4324.645.660.72022.795.7221.866.460.161
Carbohydrate intake (g/1000kcal)58.507.1658.717.300.78951.398.3152.737.680.128
Vitamin D intake (μg/1000kcal)7.965.017.944.520.9638.625.807.055.000.009
Grip strength/body weight (kgf/kg)0.500.110.470.100.0020.580.110.570.120.622
Calf circumference/body weight (cm/kg)0.600.070.610.070.3720.560.060.550.060.112
Osteo sono-assessment index2.550.362.460.300.0112.700.342.740.360.298
Smoking status (n, %)0.1820.303
 Non-smoker17270.511277.25931.74127.5
 EX-smoker5020.51913.17339.27147.7
 Current smoker229.0149.75429.03724.8
Exercise habits (n, %)0.0150.153
 more than 5 days/week9840.24128.36434.43825.5
 1–4 days/week4920.12517.24021.53120.8
 No exercise9739.87954.58244.18053.7
Analgesics administration (n, %)0.1830.006
 No23295.113391.718498.913993.3
 Yes124.9128.321.1106.7

Notes: p-values were from the Student’s t-test for continuous variables and the chi-squared test for categorical variables; p-values < 0.05 are in bold; Non-drinker without CP, n = 244; Non-drinker with CP, n = 145; Drinker without CP, n = 186; Drinker with CP, n = 149.

Abbreviations: BMI, body mass index; CRP, C-reactive protein; 25(OH)D, 25-hydroxyvitamin D; CP, chronic pain; SD, standard deviation.

Comparison of Characteristics Between CP and Non-CP Subjects According to Drinking Habits Notes: p-values were from the Student’s t-test for continuous variables and the chi-squared test for categorical variables; p-values < 0.05 are in bold; Non-drinker without CP, n = 244; Non-drinker with CP, n = 145; Drinker without CP, n = 186; Drinker with CP, n = 149. Abbreviations: BMI, body mass index; CRP, C-reactive protein; 25(OH)D, 25-hydroxyvitamin D; CP, chronic pain; SD, standard deviation.

Interaction Between CP and Drinking Habits on Serum 25(OH)D Concentrations and Comparison of Adjusted Serum 25(OH)D Values

A two-way ANCOVA was performed to examine the interaction between CP and drinking habits on serum 25(OH)D concentrations (Table 3). We observed a significant main effect of CP (p = 0.021) and drinking habits (p < 0.001). A significant interaction was noted between CP and drinking habits on serum 25(OH)D levels after adjustments for covariates (p = 0.098). The one-way ANCOVA revealed that the subjects without CP had higher 25(OH)D concentrations than those with CP (p = 0.007) in drinkers after adjustments for covariates (Table 3). In non-drinkers, no significant differences were found.
Table 3

Interaction Between CP and Drinking Habits on Serum 25(OH)D Concentrations and Comparison of Adjusted Serum 25(OH)D Values

Drinking HabitsCP StatusMeanSDEstimated Mean Difference95% CIp1p2p3p4
LowerUpper
Non-drinkerWithout22.356.770.28−1.091.650.6910.021<0.0010.098
With21.826.40
DrinkerWithout27.019.242.440.674.220.007
With25.307.83

Notes: Analyses were adjusted for sex, age, body mass index, the smoking status, exercise habit, the analgesics administration status, the osteo sono-assessment index, grip strength/body weight, and calf circumference/body weight; p1, p-value of the one-way analysis of covariance; p2, p-value of main effect of CP on serum 25(OH)D concentrations; p3, p-value of main effect of drinking habits on serum 25(OH)D concentrations; p4, p-value of interaction test between CP and drinking habits on serum 25(OH)D concentrations; p-values < 0.05 are in bold; Bonferroni multiple comparisons post hoc test was performed; Non-drinker without CP, n = 244; Non-drinker with CP, n = 145; Drinker without CP, n = 186; Drinker with CP, n = 149.

Abbreviations: 25(OH)D, 25-hydroxyvitamin D; CP, chronic pain; SD, standard deviation; CI, confidence interval.

Interaction Between CP and Drinking Habits on Serum 25(OH)D Concentrations and Comparison of Adjusted Serum 25(OH)D Values Notes: Analyses were adjusted for sex, age, body mass index, the smoking status, exercise habit, the analgesics administration status, the osteo sono-assessment index, grip strength/body weight, and calf circumference/body weight; p1, p-value of the one-way analysis of covariance; p2, p-value of main effect of CP on serum 25(OH)D concentrations; p3, p-value of main effect of drinking habits on serum 25(OH)D concentrations; p4, p-value of interaction test between CP and drinking habits on serum 25(OH)D concentrations; p-values < 0.05 are in bold; Bonferroni multiple comparisons post hoc test was performed; Non-drinker without CP, n = 244; Non-drinker with CP, n = 145; Drinker without CP, n = 186; Drinker with CP, n = 149. Abbreviations: 25(OH)D, 25-hydroxyvitamin D; CP, chronic pain; SD, standard deviation; CI, confidence interval.

Association Between CP and Drinking Habits

The association between CP and drinking habits is shown in Table 4. Drinking habits correlated with CP after adjustments for sex, age, BMI, the smoking status, exercise habit, the analgesics administration status, the osteo sono-assessment index, grip strength/body weight, and calf circumference/body weight (odds ratio: 1.467; 95% confidence interval: 1.018–2.114; p = 0.040).
Table 4

Logistic Analysis of Chronic Pain as a Dependent Variable with Drinking Habits as an Independent Variable

OR95% CIp-value
LowerUpper
AllModel 11.4271.0042.0280.048
Model 21.4250.9962.0380.052
Model 31.4671.0182.1140.040

Notes: OR indicates the odds ratio of drinking habits for chronic pain; Model 1, adjusted for sex, age, and BMI; Model 2, adjusted for sex, age, BMI, the smoking status, and exercise habit; Model 3, adjusted for sex, age, BMI, the smoking status, exercise habit, the analgesics administration status, the osteo sono-assessment index, grip strength/body weight, and calf circumference/body weight; p-values < 0.05 are in bold; All, n = 724.

Abbreviations: OR, odds ratio; CI, confidence interval; BMI, body mass index.

Logistic Analysis of Chronic Pain as a Dependent Variable with Drinking Habits as an Independent Variable Notes: OR indicates the odds ratio of drinking habits for chronic pain; Model 1, adjusted for sex, age, and BMI; Model 2, adjusted for sex, age, BMI, the smoking status, and exercise habit; Model 3, adjusted for sex, age, BMI, the smoking status, exercise habit, the analgesics administration status, the osteo sono-assessment index, grip strength/body weight, and calf circumference/body weight; p-values < 0.05 are in bold; All, n = 724. Abbreviations: OR, odds ratio; CI, confidence interval; BMI, body mass index.

Association Between CP and Serum 25(OH)D Deficiency

The association between CP and serum 25(OH)D deficiency in each group stratified by drinking habits are shown in Table 5. The results obtained showed that serum 25(OH)D deficiency correlated with CP in drinkers after adjustments for sex, age, BMI, the smoking status, exercise habit, the analgesics administration status, the osteo sono-assessment index, grip strength/body weight, and calf circumference/body weight (odds ratio: 0.499; 95% confidence interval: 0.268−0.927; p = 0.028), but not in non-drinkers.
Table 5

Logistic Analysis of the Categorized Serum 25(OH)D Levels as a Dependent Variable with Chronic Pain as an Independent Variable

OR95% CIp-value
LowerUpper
AllModel 10.7610.5411.0700.116
Model 20.7770.5481.1020.157
Model 30.8230.5771.1740.283
Non-drinkerModel 10.8520.5491.3230.476
Model 20.8960.5711.4050.631
Model 30.9750.6131.5520.916
DrinkerModel 10.5340.3000.9500.033
Model 20.5020.2750.9150.024
Model 30.4990.2680.9270.028

Notes: OR indicates the odds ratio of chronic pain for the categorical 25(OH)D levels; Model 1, adjusted for sex, age, and BMI; Model 2, adjusted for sex, age, BMI, the smoking status, and exercise habit; Model 3, adjusted for sex, age, BMI, the smoking status, exercise habit, the analgesics administration status, the osteo sono-assessment index, grip strength/body weight, and calf circumference/body weight; p-values < 0.05 are in bold; All, n = 724; Non-drinker, n = 389; Drinker, n = 335.

Abbreviations: OR, odds ratio; CI, confidence interval; 25(OH)D, 25-hydroxyvitamin D; BMI, body mass index.

Logistic Analysis of the Categorized Serum 25(OH)D Levels as a Dependent Variable with Chronic Pain as an Independent Variable Notes: OR indicates the odds ratio of chronic pain for the categorical 25(OH)D levels; Model 1, adjusted for sex, age, and BMI; Model 2, adjusted for sex, age, BMI, the smoking status, and exercise habit; Model 3, adjusted for sex, age, BMI, the smoking status, exercise habit, the analgesics administration status, the osteo sono-assessment index, grip strength/body weight, and calf circumference/body weight; p-values < 0.05 are in bold; All, n = 724; Non-drinker, n = 389; Drinker, n = 335. Abbreviations: OR, odds ratio; CI, confidence interval; 25(OH)D, 25-hydroxyvitamin D; BMI, body mass index.

Discussion

This cross-sectional study investigated the association between serum 25(OH)D concentrations and CP with stratification by drinking habits. The results obtained showed that drinkers with CP had lower 25(OH)D concentrations than those without CP. This result implies that lower 25(OH)D concentrations correlated with CP in drinkers only. Previous studies reported discordant findings on the relationship between serum 25(OH)D concentrations and CP. Several large cross-sectional studies showed low 25(OH)D concentrations with widespread CP.33,34 Furthermore, a systematic review published in 2018 concluded that low 25(OH)D concentrations may be associated with pain conditions.35 On the other hand, large population-based studies found no relationships between 25(OH)D levels and self-reported CP after adjustments for several confounding factors.14,36 The reasons for inconsistencies in the relationship between serum 25(OH)D concentrations and CP currently remain unknown because these studies did not perform analyses with the stratification of subjects by factors considered to affect the association between CP and 25(OH)D. To the best of our knowledge, the present study is the first to investigate the association between serum 25(OH)D and CP according to drinking habits, which is assumed to influence this relationship. The positive effects of moderate alcohol consumption on CP have been demonstrated.37–39 However, these findings may be attributed to “reverse causation”. “Reverse causation” means that individuals with CP reduce their alcohol intake because of the harmful effects of alcohol on their symptoms. A Mendelian randomization study using UK Biobank recently showed that alcohol consumption did not have a positive impact on the risk of widespread CP.40 In contrast, the present results suggested that drinking habits had negative effects on CP. Previous studies only included individuals with widespread CP.37–40 A review published in 2016 reported that the prevalence of widespread CP was 10–15%.41 However, 40.6% of subjects in the present study had CP. Therefore, we may have included not only subjects with widespread CP but also those with another CP status, such as osteoarthritis. Previous cross-sectional and longitudinal studies demonstrated a relationship between moderate alcohol consumption and the development of osteoarthritis.42,43 Therefore, the present results appear to support the relationship between alcohol consumption and CP. Although previous studies investigated the effects of alcohol consumption on serum vitamin D concentrations, this relationship remains unclear.15–22 In studies that reported a positive relationship between frequent alcohol consumption and the vitamin D status, alcohol suppressed the secretion of parathyroid hormone, which controls metabolism from 25(OH)D to 1,25(OH)2D in the kidney.23–25 These findings suggested that an increase in unconverted 25(OH)D may have resulted in higher serum 25(OH)D concentrations in drinkers. Drinkers had higher 25(OH)D concentrations than non-drinkers in the present study. Therefore, high serum 25(OH)D concentrations induced by alcohol consumption seems to mean not a favorable status of vitamin D but rather a deficiency of 1,25(OH)2D, which is the active form of vitamin D. Several studies have reported that vitamin D deficiency causes a decrease in bone density, muscle weakness, and bone sensitivity.44,45 Vitamin D deficiency can lead to muscle weakness, which can cause herniated discs, and the other study has shown that vitamin D levels are associated with pain severity in patients with low back pain.46 In addition, several studies have demonstrated an association between vitamin D status and serum creatine kinase levels or inflammatory cytokines.47,48 Furthermore, the link between vitamin D deficiency and alteration of nociception via changes in gut microbiota has previously been detected in mice.49 Therefore, the analgesic effects of vitamin D may be compromised in subjects with drinking habits, owing to alcohol-induced disturbances in the metabolism of 25(OH)D to 1.25(OH)2D. Furthermore, insufficient vitamin D intake may adversely affect CP in drinkers. Drinkers with CP had a significantly lower intake of vitamin D than those without CP in the present study. Therefore, the association found between low 25(OH)D concentrations and the development of CP in drinkers only appears to support our hypothesis that drinking habits affect the inhibitory effects of vitamin D on pain. These results indicate the importance of maintaining sufficient serum 25(OH)D concentrations, particularly in drinkers. Furthermore, vitamin D supplementation appears to be more effective for the treatment of CP in drinkers. However, there are several limitations in the present study that need to be addressed. The causality between serum 25(OH)D concentrations, CP, and drinking habits remains unclear because of the nature of this cross-sectional study. Furthermore, we need to consider the selection bias. In the present study, the percentage of health-conscious individuals may have been high because the health examination was only conducted on voluntary subjects. In addition, because the participation rate in this study was low, this study’s findings are limited in their generalizability. Moreover, we did not include information on the mental conditions of subjects, which may have affected CP, because the number of subjects with complete data of these variables was small.

Conclusion

We herein performed a cross-sectional study on Japanese subjects to assess the association between serum 25(OH)D concentrations and CP in drinkers and non-drinkers. An association between 25(OH)D concentrations and CP was only observed in drinkers. These results suggest that drinkers need to maintain sufficient serum 25(OH)D concentrations by an adequate vitamin D intake in order to inhibit CP.
  49 in total

1.  Is alcohol consumption related to likelihood of reporting chronic widespread pain in people with stable consumption? Results from UK biobank.

Authors:  Marcus J Beasley; Tatiana V Macfarlane; Gary J Macfarlane
Journal:  Pain       Date:  2016-11       Impact factor: 6.961

2.  Smoking and alcohol use are associated with structural and inflammatory hand osteoarthritis features.

Authors:  K Magnusson; A Mathiessen; H B Hammer; T K Kvien; B Slatkowsky-Christensen; B Natvig; K B Hagen; N Østerås; I K Haugen
Journal:  Scand J Rheumatol       Date:  2017-02-01       Impact factor: 3.641

3.  Dietary, lifestyle, and genetic determinants of vitamin D status: a cross-sectional analysis from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Germany study.

Authors:  Tilman Kühn; Rudolf Kaaks; Birgit Teucher; Frank Hirche; Jutta Dierkes; Cornelia Weikert; Verena Katzke; Heiner Boeing; Gabriele I Stangl; Brian Buijsse
Journal:  Eur J Nutr       Date:  2013-09-05       Impact factor: 5.614

4.  Vitamin D and chronic widespread pain in a white middle-aged British population: evidence from a cross-sectional population survey.

Authors:  K Atherton; D J Berry; T Parsons; G J Macfarlane; C Power; E Hyppönen
Journal:  Ann Rheum Dis       Date:  2008-08-12       Impact factor: 19.103

5.  Determinants of vitamin D status in healthy men and women aged 40-80 years.

Authors:  H C J P Janssen; M H Emmelot-Vonk; H J J Verhaar; Y T van der Schouw
Journal:  Maturitas       Date:  2012-11-28       Impact factor: 4.342

6.  The relationship between serum 25-hydroxy vitamin D, parathormone and bone mineral density in Indian population.

Authors:  M K Garg; N Tandon; R K Marwaha; A S Menon; N Mahalle
Journal:  Clin Endocrinol (Oxf)       Date:  2013-06-20       Impact factor: 3.478

7.  Skeletal turnover, bone mineral density, and fractures in male chronic abusers of alcohol.

Authors:  C Santori; M Ceccanti; D Diacinti; M L Attilia; L Toppo; E D'Erasmo; E Romagnoli; M L Mascia; C Cipriani; A Prastaro; V Carnevale; S Minisola
Journal:  J Endocrinol Invest       Date:  2008-04       Impact factor: 4.256

8.  Vitamin D status among older community dwelling men living in a sunny country and associations with lifestyle factors: the Concord Health and Ageing in Men Project, Sydney, Australia.

Authors:  V Hirani; R G Cumming; F M Blyth; V Naganathan; D G Le Couteur; D J Handelsman; L M Waite; M J Seibel
Journal:  J Nutr Health Aging       Date:  2013-07       Impact factor: 4.075

9.  Vitamin D deficiency in adult fracture patients: prevalence and risk factors.

Authors:  E A Gorter; P Krijnen; I B Schipper
Journal:  Eur J Trauma Emerg Surg       Date:  2015-07-21       Impact factor: 3.693

10.  Low vitamin D and the risk of developing chronic widespread pain: results from the European male ageing study.

Authors:  Paul S McCabe; Stephen R Pye; John Mc Beth; David M Lee; Abdelouahid Tajar; Gyorgy Bartfai; Steven Boonen; Roger Bouillon; Felipe Casanueva; Joseph D Finn; Gianni Forti; Aleksander Giwercman; Ilpo T Huhtaniemi; Krzysztof Kula; Neil Pendleton; Margus Punab; Dirk Vanderschueren; Frederick C Wu; Terence W O'Neill
Journal:  BMC Musculoskelet Disord       Date:  2016-01-16       Impact factor: 2.362

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  3 in total

1.  Relationship between Alcohol Intake and Chronic Pain with Depressive Symptoms: A Cross-Sectional Analysis of the Shika Study.

Authors:  Takashi Amatsu; Hiromasa Tsujiguchi; Akinori Hara; Sakae Miyagi; Takayuki Kannon; Keita Suzuki; Yukari Shimizu; Thao Thi Thu Nguyen; Kim-Oanh Pham; Fumihiko Suzuki; Tomoko Kasahara; Masaharu Nakamura; Koichiro Hayashi; Aki Shibata; Noriyoshi Ogino; Tadashi Konoshita; Yasuhiro Kambayashi; Hirohito Tsuboi; Atsushi Tajima; Hiroyuki Nakamura
Journal:  Int J Environ Res Public Health       Date:  2022-02-11       Impact factor: 3.390

2.  The Role of Polygenic Susceptibility on Air Pollution-Associated Asthma between German and Japanese Elderly Women.

Authors:  Sara Kress; Akinori Hara; Claudia Wigmann; Takehiro Sato; Keita Suzuki; Kim-Oanh Pham; Qi Zhao; Ashtyn Areal; Atsushi Tajima; Holger Schwender; Hiroyuki Nakamura; Tamara Schikowski
Journal:  Int J Environ Res Public Health       Date:  2022-08-10       Impact factor: 4.614

3.  Associations between Vitamin D, Omega 6:Omega 3 Ratio, and Biomarkers of Aging in Individuals Living with and without Chronic Pain.

Authors:  Akemi T Wijayabahu; Angela M Mickle; Volker Mai; Cynthia Garvan; Toni L Glover; Robert L Cook; Jinying Zhao; Marianna K Baum; Roger B Fillingim; Kimberly T Sibille
Journal:  Nutrients       Date:  2022-01-09       Impact factor: 5.717

  3 in total

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