Study population
Adult patients with chronic diseases were recruited from the three largest general hospitals in Shenzhen, China to participate in an in-person survey. These hospitals were selected because of their high patient volume. Patients were interviewed immediately after their visit with the physician, outside the clinic consultation room, in a randomized order.
Patients that met the following inclusion criteria were included in the study: 1) ≥18 years of age, 2) presence of chronic disease (i.e diseases that identified by EIM) [24], 3) who were able to complete a face-to-face survey verbally. Exclusion criteria included: 1) patients with aneurysm, cardiac pacemaker, mobility limitations, human immunodeficiency virus (HIV), 2) pregnancy, or 3) patients who were hospitalized.
Patients with chronic disease were identified through the following series of questions: "Did you see a physician?" Those who answered "yes" were further asked, "What is your primary purpose for your visit to physicians?" Patients who self-reported having a chronic disease, including heart disease (heart failure), peripheral arterial disease, hypertension, pre-diabetes, type 2 diabetes, blood lipid disorders, osteoarthritis, osteoporosis, rheumatoid arthritis, low back pain, fibromyalgia, asthma, chronic obstructive pulmonary disorder (COPD), cancer (colorectal cancer, prostatic cancer and breast cancer), depression or anxiety, chronic kidney or liver disease, inflammatory bowel disease, Parkinson’s disease and Alzheimer's disease were invited to participate in the study [24].
By assuming the prevalence of PA advice was 50% (which would require the largest sample size), with a precision/absolute error of 5%, and at type I error of 5%, a total of 385 patients were required [25]. At a predicted drop-out rate of at most 15%, a minimum of 453 patients were needed.
Written informed consent was obtained for all participants. All participation was voluntary and no incentive was involved. Ethical approval for the study was granted by the Survey and Behavioral Research Ethics Committee, the XXX University (Reference number. SBRE-20-026). All methods were carried out in accordance with relevant guidelines and regulations.
Development of the questionnaire
Data were collected between September 2020 and October 2020. A total of 454 patients completed the questionnaire. The questionnaire was developed based on the Anderson's Behavioral Model of Health Services Use, items from the Behavioral Risk Factors Surveillance System (BRFSS) questionnaire and previously published surveys from Canada and Australia [16, 26-30]. Anderson's Behavioral Model was initially developed to understand how and why individuals use health services. It has been used in several areas of healthcare utilization and in relation to different type of diseases, such as predicting receipt of PA advice [18, 31, 32]. The final questionnaire consisted of 25 questions including multiple choice, dichotomous and open-ended items that explored the patients: 1) medical diagnosis, 2) socio-demographic characteristics, 3) anthropometric measurements, 5) self-reported PA levels, 5) receipt of PA advice from their physicians, and 6) likelihood of patients follow PA advice from their physicians. The questionnaire can be found at Additional file 1.
Measures
Physical activity advice
The presence of PA advice was detected by the following question: "Have you ever been provided with PA advice by your physician?". Those who answered "yes" were then asked about the details of the advice including its frequency (i.e., number of times per week), its intensity (i.e., low, moderate or high intensity), its duration (i.e., minutes per session) and its type.
Likelihood of patients following PA advice from their physician
Patients who received PA advice from their physicians were asked “How likely is it that you will follow the PA advice given by your physician?” Response options included, “I will follow the advice”, “I will not follow their advice”, and “I don’t know”.
Anthropometric measurements
Height (cm) and weight (kg) were self-reported and used to calculate body mass index (BMI) [33]. Patients were classified as underweight (<18.5 kg/m2), normal weight (18.5 to 22.9 kg/m2), overweight (23.0 to 24.9 kg/m2), and obese (≥25 kg/m2), according to latest relevant World Health Organization (WHO) guideline [34].
Current PA behavior
Patients were asked whether they participated in PA within the last 6 months. Patients who answered "yes" were then further queried about the frequency, intensity, duration, and type of their regular PA. Patients were categorized into (i) patients who achieved adequate PA and patients who did not, according to the latest WHO guideline (i.e., engaging in 150 minutes of moderate to vigorous PA per week) [23].
Socio-demographic information
Socio-demographic information collected from the patients included gender, age, employment status (employed/unemployed/retired), and educational attainment (less than primary education/primary education/secondary education/college or associated degree/bachelor degree or higher). Familiarity with the hospital team was estimated by the number of years as a patient in the corresponding hospital as previous work has found this measure to be associated with health services utilization [30, 31].
Statistical analysis
Descriptive data were presented as mean±standard deviation (SD) or as a percentage. To detect whether physicians’ PA advice was adequate according to the current global PA guideline, each item (frequency, intensity, duration, and type) was coded according to the WHO PA guideline for individuals with chronic conditions [23]. Advice that received all four points should be in accordance to the aerobic PA guideline [aerobic activity (type: 1 point), over the course of a week (frequency: 1 point), at a moderate or vigorous intensity (1 point), for at least 75 minutes (if vigorous intensity) or 150 minutes (if moderate intensity) (time: 1 point)] [35]. Logistic regression analyses (unadjusted and adjusted) were utilized to identify factors associated with the presence of PA advice. The following independent variables were included: gender, age, employment status, educational attainment, BMI, years as a patient, and whether the patient met PA guideline within the last six months. Age and years as a patient were dichotomized based on their means for regression analysis. Univariate models were first obtained for each independent factor. The final adjusted model included all independent factors with a p-value < 0.15. A forward logistic regression was then utilized to identify factors significantly associated with receiving PA advice from physicians. Data analyses were performed using SPSS 26.0. A p-value < 0.05 was considered as statistically significant in the final logistic regression model.