Background: Metabolic syndrome (MetS) is a cluster of cardiometabolic abnormalities that significantly increases the risk of cardiovascular disease and diabetes. Emerging evidence suggests that MetS may also be associated with musculoskeletal conditions, including chronic neck pain, possibly mediated through obesity, low-grade inflammation, psychological distress, and physical inactivity. However, data exploring this association in the Indian population remain limited. Objectives: To assess the prevalence of neck pain among adults with metabolic syndrome and to examine the association between MetS, psychological distress, and neck pain across genders. Methods: A hospital-based cross-sectional observational study was conducted among 800 adults aged 20–70 years attending the orthopaedics and physical medicine outpatient services of a tertiary care teaching hospital. Participants underwent clinical evaluation for metabolic syndrome based on Adult Treatment Panel III (ATP III) criteria. Demographic data, body mass index, waist circumference, comorbidities, lifestyle factors, and medication history were recorded. Psychological distress was assessed using the General Health Questionnaire (GHQ-12). Neck pain was defined as daily or almost daily pain during the preceding month. Statistical analysis was performed using chi-square tests, t-tests, and multivariate regression, with p < 0.05 considered statistically significant. Results: Metabolic syndrome was identified in a substantial proportion of the study population. Neck pain was significantly more prevalent among individuals with MetS compared to those without it. Females reported a higher overall prevalence of neck pain, whereas the strength of association between MetS and neck pain was greater in males. Participants with neck pain demonstrated significantly higher GHQ-12 scores, indicating greater psychological distress. In men, neck pain was significantly associated with higher body mass index and waist circumference, while this association was not observed among women. Multivariate analysis revealed that metabolic syndrome independently increased the risk of neck pain in both genders, with psychological distress further amplifying this risk. Discussion: The findings suggest a significant association between metabolic syndrome and neck pain, supporting the hypothesis that metabolic and inflammatory pathways, along with psychosocial factors, contribute to musculoskeletal symptoms. The stronger association observed in males may be related to differential fat distribution and metabolic risk profiles, while the higher prevalence of neck pain among females may reflect greater psychological distress. Conclusion: Metabolic syndrome is significantly associated with neck pain in adults, with notable gender-specific differences. These findings highlight the importance of a holistic approach in managing patients with MetS, incorporating musculoskeletal assessment, psychological evaluation, and lifestyle modification. Longitudinal studies are required to establish causality and to explore underlying mechanisms linking metabolic and musculoskeletal health.
Metabolic syndrome (MetS) represents a constellation of interrelated metabolic abnormalities, including impaired glucose tolerance or insulin resistance, central obesity, dyslipidaemia, and elevated blood pressure. Collectively, these abnormalities significantly increase the risk of cardiovascular diseases such as myocardial infarction and stroke, as well as neurodegenerative conditions including dementia. Previous epidemiological studies have demonstrated that metabolic syndrome affects approximately one-third of the adult population, with reported prevalence rates of around 35% in the United States and nearly 37% in East Finland.¹˒²
Neck pain is a highly prevalent musculoskeletal complaint, particularly among middle-aged adults. Population-based data from Finland indicate that neck stiffness is reported by nearly one-quarter of men and over one-third of women aged 30 years and above.³ In recent years, obesity has increasingly been recognized as a state of chronic low-grade systemic inflammation. White adipose tissue actively secretes pro-inflammatory cytokines such as tumor necrosis factor-α and interleukin-6, which contribute to inflammatory pathways and worsen insulin resistance. This chronic inflammatory milieu may play a key role in musculoskeletal degeneration and pain syndromes.
Individuals with metabolic syndrome have been shown to carry a higher risk of osteoarthritis and chronic musculoskeletal pain, including cervical spine discomfort.⁴˒⁵ Visceral adiposity, a hallmark feature of metabolic syndrome, may contribute to altered biomechanics and cervical dysfunction. In addition, metabolic syndrome and chronic pain conditions have been hypothesized to share common neuroendocrine mechanisms involving dysregulation of the hypothalamic–pituitary–adrenal axis, which is also closely linked to depressive symptoms.⁶˒⁷ Patients with metabolic disorders, particularly diabetes mellitus, frequently report increased musculoskeletal pain, including neck discomfort.
Given these overlapping biological and clinical pathways, it is plausible that metabolic syndrome and neck pain may be interrelated conditions. However, data exploring this association remain limited. The present study was therefore undertaken to evaluate the prevalence of neck pain among individuals with metabolic syndrome and to examine associated demographic, metabolic, lifestyle, and psychological factors.
A cross-sectional, observational study was conducted between August 2018 and Decemberber 2020 in the departments of Orthopaedics and Physical Medicine and Rehabilitation at a tertiary care teaching hospital. The study was outpatient-based and included patients presenting with complaints of neck stiffness or neck pain. Eligible participants were adults between 20 and 60 years of age at the time of consultation. Written informed consent was obtained from all participants prior to enrolment, and ethical clearance for the study was granted by the institutional research ethics committee. During the study period, 1,350 individuals were screened for eligibility. After applying the predefined inclusion and exclusion criteria, 800 participants were included in the final analysis. Detailed clinical and comorbidity data were available for a subset of participants. The mean age of the study population was 56.2 years with a standard deviation of 15.7 years, and the mean body mass index was 27.7 kg/m² with a standard deviation of 5.6. The study population had an approximately equal gender distribution. Participants aged between 20 and 70 years, of either sex and irrespective of occupation, were eligible for inclusion. Individuals younger than 20 years, those with a history of spinal or pelvic surgery, ankylosing spondylitis, congenital or developmental spinal deformities, scoliosis, poliomyelitis, Pott’s spine, pregnancy, postpartum cervical spine injuries, or conditions causing restricted cervical mobility were excluded from the study. Each participant underwent a comprehensive clinical evaluation, which included assessment of age, sex, body mass index, presenting symptoms, and medical history. Body mass index was calculated using the standard formula of weight in kilograms divided by height in meters squared. Blood pressure measurements were taken twice at five-minute intervals, and the second reading was used for analysis. Smoking status was defined as current smoking at least once per week, while alcohol consumption was considered current if intake occurred at least once per year. Physical activity was defined as exercise lasting at least 30 minutes per session and inducing sweating. Based on frequency, physical activity was categorized as low, moderate, or high. Metabolic syndrome was defined using criteria adapted from the World Health Organization and the National Cholesterol Education Program Adult Treatment Panel III. The diagnosis was established when three or more of the following criteria were present: increased waist circumference, elevated triglyceride levels, reduced high-density lipoprotein cholesterol, elevated blood pressure, and impaired fasting glucose or insulin resistance. Psychological distress was assessed using the 12-item General Health Questionnaire (GHQ-12). Responses were scored using a binary method, and participants were categorized into three groups based on total score: no psychological distress, mild distress, and moderate to severe distress. Neck pain severity was evaluated by asking participants about neck pain experienced during the preceding one month. Neck pain was categorized as either absent or occasional, or as daily or almost daily pain. For the purpose of this study, clinically significant neck pain was defined as pain occurring on a daily or near-daily basis. Continuous variables were expressed as mean values with standard deviations, while categorical variables were presented as proportions and percentages. The independent t-test was used to compare continuous variables, and the chi-square test was applied for categorical variables. A p-value of less than 0.05 was considered statistically significant. Statistical analysis was performed using SPSS software and GraphPad Prism version 8.
A total of 800 participants were included in the final analysis, comprising 402 males (50.3%) and 398 females (49.7%). The mean age of male participants was 46.5 ± 6.4 years, while that of female participants was 45.2 ± 5.7 years, with no statistically significant difference between genders (p = 0.68). Table 1 summarizes the baseline demographic and clinical characteristics of the study participants.
Table 1: Baseline characteristics of study participants (N = 800)
|
Variable |
Males (n = 402) |
Females (n = 398) |
Total (N = 800) |
p-value |
|
Mean age (years) |
46.5 ± 6.4 |
45.2 ± 5.7 |
45.8 ± 6.1 |
0.68 |
|
Metabolic syndrome, n (%) |
238 (59.2) |
217 (54.5) |
455 (56.9) |
0.18 |
|
Neck pain present, n (%) |
50 (12.4) |
82 (20.6) |
171 (21.4) |
<0.001 |
|
Mean BMI (kg/m²) |
26.8 ± 4.1 |
25.9 ± 4.3 |
26.4 ± 4.2 |
0.09 |
|
Antihypertensive use, n (%) |
162 (40.3) |
148 (37.2) |
310 (38.8) |
0.34 |
Neck pain occurring on a daily or near-daily basis was reported by 171 participants (21.4%). The prevalence of neck pain was significantly higher among females (20.6%) compared to males (12.4%) (p < 0.001).
Participants reporting neck pain were slightly older than those without neck pain, although the difference was not statistically significant. Among males, the mean age of those without neck pain was 47.0 ± 6.4 years compared to 47.9 ± 6.1 years in those with neck pain (p = 0.30). Among females, the corresponding ages were 45.0 ± 6.2 years and 45.6 ± 6.2 years, respectively (p = 0.06).
Metabolic syndrome was significantly more common among participants reporting neck pain. Gender-wise comparison of neck pain prevalence according to metabolic syndrome status is presented in Table 2.
Table 2: Prevalence of neck pain according to metabolic syndrome status
|
Gender |
MetS status |
Neck pain present n (%) |
Neck pain absent n (%) |
p-value |
|
Males |
Without MetS (n = 164) |
14 (8.7) |
150 (91.3) |
|
|
With MetS (n = 238) |
40 (17.0) |
198 (83.0) |
0.016 |
|
|
Females |
Without MetS (n = 181) |
23 (12.7) |
158 (87.3) |
|
|
With MetS (n = 217) |
59 (27.2) |
158 (72.8) |
0.004 |
Overall, participants with metabolic syndrome had a significantly higher prevalence of neck pain compared to those without metabolic syndrome. The relative risk of neck pain associated with metabolic syndrome was 1.6 (95% CI: 1.2–2.2). Alcohol consumption was significantly associated with neck pain among females but not among males. In contrast, higher BMI and increased waist circumference showed a significant association with neck pain in men, whereas these associations were not observed in women. No statistically significant associations were found between neck pain and smoking status, physical activity levels, blood pressure, lipid parameters, fasting glucose, or C-reactive protein levels in either gender. Psychological distress, as assessed by the GHQ-12, was significantly higher among participants reporting neck pain. Table 3 shows the association between GHQ-12 scores and neck pain.
Table 3: Association between GHQ-12 score and neck pain (N = 800)
|
GHQ-12 score |
Neck pain present n (%) |
Neck pain absent n (%) |
Relative Risk (95% CI) |
p-value |
|
0–2 |
54 (10.8) |
444 (89.2) |
Reference |
|
|
≥3 |
117 (38.4) |
188 (61.6) |
3.5 (1.9–6.8) |
<0.001 |
Participants with a GHQ-12 score of 3 or higher had a markedly increased risk of neck pain. After adjusting for age, gender, BMI, alcohol use, and antihypertensive medication, metabolic syndrome remained independently associated with neck pain. Gender-specific multivariate risk estimates are shown in Table 4.
Table 4: Multivariate analysis of factors associated with neck pain
|
Variable |
Relative Risk (RR) |
95% CI |
p-value |
|
Metabolic syndrome (overall) |
1.6 |
1.2–2.2 |
0.002 |
|
MetS in males |
2.2 |
1.3–3.9 |
0.010 |
|
MetS in females |
1.6 |
1.0–2.8 |
0.040 |
|
GHQ-12 ≥3 |
3.5 |
1.9–6.8 |
<0.001 |
Males with metabolic syndrome exhibited a higher risk of neck pain compared to females. Psychological distress emerged as the strongest independent predictor of neck pain in both genders.
The present study demonstrates a significant association between metabolic syndrome and neck pain in adults. While women reported a higher prevalence of neck pain, the strength of association between metabolic syndrome and neck pain was greater among men. Psychological distress and physical inactivity appear to play important contributory roles in this relationship. These findings underscore the need for an integrated approach addressing metabolic health, mental well-being, and physical activity in individuals presenting with chronic neck pain. Prospective longitudinal studies are warranted to further elucidate the causal pathways linking metabolic syndrome and musculoskeletal pain and to guide targeted preventive strategies.
16. McBeth J, Symmons DP, Silman AJ, Allison T, Webb R, Brammah T, et al. Musculoskeletal pain is associated with a long-term increased risk of cancer and cardiovascular-related mortality. Rheumatology (Oxford). 2009;48(1):74–77.