Data source and study population
Statistical data from the NHANES were analyzed to investigate the relationship between sun-protective behaviors and hypertension. The NHANES is major research study that was carried out by the National Center for Health Statistics, the Centers for Disease Control and Prevention, to assess the state of health and nutrition in the U.S. population. The present study received approval from The National Center for Health Statistics and written informed consent was obtained from all participants. More information is available in the NHANES database, http://www.cdc.gov/Nhanes. A total of 8,613 individuals were included in the study after excluding patients with missing information on sun-protective behaviors, hypertension, and other covariates. The flow chart of the systematic selection process is illustrated in Fig. 1.
Outcome variable
Outcome variable
Blood pressure measurements were obtained by professionally trained personnel. Participants with hypertension were informed by their physicians that they conformed to the hypertension criteria. The criteria are systolic blood pressure ≥ 140 mmHg and diastolic blood pressure ≥ 90 mmHg in three blood pressure measurements taken at the same time on a non-same day.
Sun-protective behaviors
Sun-protective behavior was assessed using three variables that included staying in the shade, wearing long-sleeved clothing, and applying sunscreen. These variables were recorded as “always”, “most of the time”, “sometimes”, “rarely”, and “never” in the NHANES. The present analysis categorized the three variables as “rare” (never or rarely), “moderate” (sometimes), or “frequent” (always or most of time). Sun-protective behaviors were then classified as 0, 1, and 2–3 based on the number of behaviors with frequent use in three variables [17].
Covariates
Covariates, including age (20–60 years), sex (men/women), race (non-Hispanic black, non-Hispanic white, Mexican American, other Hispanic and other race), marital status (single/never married, separated/divorced, widowed, married, and others), family poverty income ratio (PIR), body mass index (BMI), educational level (less than high school education/primary education, high school education/secondary education, and college education or above), smoking status, alcohol consumption, serum 25-hydroxyvitamin D [25(OH)D] level (severely deficient: <25 nmol/mL, deficient: 25–49.9 nmol/mL, insufficient: 50–74.9 nmol/mL, and normal values: ≥75 nmol/mL) [18, 19], milk consumption, skin reaction, cardiovascular disease (CVD), diabetes mellitus, hypercholesterolemia, and weak/failing kidney. BMI is the body fat index for the weight (kg) to height (m2) ratio. PIR has been used in several studies as a marker of economic status [20]. Smoking status was categorized as current smoking (smoking every day or having more than 100 cigarettes over the course of their life), former smoking (currently non-smoking and having more than 100 cigarettes in the past), and never smoking (having fewer than 100 cigarettes) [21]. Drinking at least 12 alcoholic beverages of any type in the past year was defined as alcohol consumption [22]. Milk consumption was classified as a regular drinker (> 5 times per week), sometimes drinker (< 5 times per week), or never drinker (never drinking milk). Skin reaction to sun exposure without any protection after no sun exposure for several months was classified as nothing, mild, or severe. Participants with hypercholesterolemia were defined as individuals with high blood cholesterol levels. Participants with diabetes mellitus were diagnosed by a medical professional with hyperglycemia. Participants had a weak failing kidney if a physician diagnosed them with abnormal renal function. Participants with CVD were diagnosed by a physician with angina pectoris, heart attack, congestive heart failure, coronary heart disease, or stroke [23].
Statistical analysis
R (http://www.R-project.org) was used to analyze the dataset. Categorical variables were expressed as percentages (%) and compared using χ tests. Continuous variables were expressed as means ± standard deviation (SD) and compared using dependent-sample t-tests (normal distribution) or Kruskal-Wallis rank sum tests (non-normal distribution).
With sun-protective behaviors (0) as the reference category, multiple logistic regression models were utilized to evaluate the relationship between sun-protective behaviors and hypertension. Subgroup analyses were stratified by sex, race, and BMI. Three models were used in the present analysis: Model 1 (an unadjusted model), Model 2 (adjusted for age, gender, and race), and Model 3 (adjusted for model 2 and educational level, marital status, PIR, BMI, smoking status, alcohol consumption, milk consumption, serum 25-hydroxyvitamin D level, skin reaction, CVD, diabetes mellitus, hypercholesterolemia, and weak/failing kidney). When stratified by a certain variable, the model does not adjust this variable. We used multiple linear regression models to analyze the relationship of sun-protective behaviors and each sun-protective behavior with systolic and diastolic blood pressure, stratified by sex and race. Statistical significance was recognized by the value of P < 0.05.