1. Study population
All data were obtained from NHANES, a program to evaluate US citizens' health and nutritional status and has been authorized by The National Center for Health Statistics ethical review. And all subjects signed the informed consent before enrolment in this program. The research screened adults (age 20 and above) who participated in NHANES from 2009 to 2010 for this study.
Initially, there were a total of 10425 participants enrolled by NHANES. All subjects (aged ≥ 20 years) were enquired whether they had a history of back/neck/hip pain for more than six weeks. Participants with incomplete information of chronic neck pain lasting more than three months(n = 6471), sleep duration(n = 6), and covariates(n = 912). Finally, 3036 participants were included. (Fig. 1)
2. Exposure variable
The computer-Assisted Personal Interviewing (CAPI) system was applied to generate sleep duration information from participants who answered: “How much sleep do you usually get at night on weekdays or workdays?”
3. Outcome variable
In this study, the participants were asked: “Have you ever had pain, aching, or stiffness in the Back/Neck/Hip almost every day for at least 6 weeks?” And then, the participants will be divided into 2 groups: have pain last for 6 weeks and no. For the population that experienced pain last 6 weeks, the next question is: “Was there one time when you had pain, aching, or stiffness in your Neck almost every day for 3 or more months in a row?” Participants who answered yes were considered the chronic neck pain population. And Participants who answered no were excluded from this study.
4. Covariates
The covariates selected in this study that may impact the relationship between sleep duration and chronic neck pain include age, gender, race, education level, marital status, PIR, BMI, Hypertension, hyperlipidemia, smoking, and alcohol status. Some of them were categorized including education level (< high school, completed high school, >high school), race (Black, White, Mexican, Others), marital status (married/living with a partner or widowed/divorced/separated/never married) and Poverty-income ratio (poverty threshold is setting as PIR is 1). Body mass index (BMI) (< 18.5 kg/m2 indicating underweight, 18.5 to < 25.0 kg/m2 indicating normal, 25.0 to < 30.0 kg/m2 indicating overweight, ≥ 30.0 kg/m2 indicating obese).(16, 17) Hypertension diagnosis according to medication history, systolic and diastolic blood pressure. Hyperlipoidemia diagnosis is based on the value of Triglyceride (TG), Low-density lipoprotein (LDL), and High-density lipoprotein (HDL). Smoking status (never smoking, < 100 cigarettes in a lifetime; former smoker, ≥ 100 cigarettes and not currently smoking; current smoker, ≥ 100 cigarettes and currently smoking.) Alcohol status (never, <lifetime; former, ≥ 12 drinks in a year/lifetime and didn’t drink last year; current, ≥ 12 drinks and currently drink.)
5. Statistical analysis
In this study, the continuous variables are described as mean ± standard error or median(interquartile). Depending on the normality of the distribution, the χ2 test and Wilcoxon are applied to compare variables among groups. And categorical variables are described as percentages. WTMEC2YR was used as the weight of the logistic regression to elucidate the relationship between factors and the incidence of chronic neck pain. The continuous variable of Sleep durations was categorized into quartiles applied to the Multivariable logistic regression model. Model 1 was not adjusted model; Model 2 was adjusted for age and gender; Model 3 was adjusted for age, gender, race, PIR, BMI, education levels, hypertension, hyperlipidemia, marital status, smoking, and alcohol status. Besides, a weighted restricted cubic spline (RCS) model was constructed to show the association between sleep duration and the incidence of chronic neck pain. Furthermore, the RCS model was further categorized by gender to elucidate this relationship.
All data were analyzed using R (The R Foundation, Vienna, Austria) and Empower (X&Y Solutions, Boston, MA, USA). P < 0.05 indicates statistical significance.