Chia-Hao Chang

Mr. Chia-Hao Chang

School of Nursing, Chang Gung University of Science and Technology, Chiayi, Taiwan

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
CCChing-Yu Cheng
Ching-Yu Cheng
YCYu-Hua Chou
Yu-Hua Chou
CCChia-Hao Chang
Chia-Hao Chang
SLShwu-Ru Liou
Shwu-Ru Liou
Perinatal stress, anxiety, and depression impacts not only women but also their child(ren). The purpose of this longitudinal study is to explore trends of stress, anxiety, and depressive symptoms from pregnancy to postpartum and understand predictions of stress and anxiety on postpartum depression. One-hundred-fifty-six women at 23–28 weeks gestation (T1), 147 at 32–36 weeks gestation (T2), 129 at over 36 weeks gestation (T3), and 83 at postpartum (T4) completed study surveys. The Perceived Stress Scale, Center for Epidemiologic Studies Depression scale, and State-Trait Anxiety Inventory were used to measure stress, depressive symptoms, and anxiety. Descriptive statistics, Pearson and Spearman’s correlation, and Generalized Estimating Equation were applied to analyze the data. Results showed that levels of anxiety and depressive symptoms increased from 24 weeks gestation to postpartum, whereas stress levels decreased during pregnancy but increased in postpartum. Over half of women experienced anxiety symptoms, especially during late pregnancy and postpartum. Stress, anxiety, and depressive symptoms were inter-correlated. Notably, women at late pregnancy and postpartum were prone to stress, anxiety, and depression. Prenatal anxiety could predict postpartum depressive symptoms. Active assessment and management of stress, anxiety, and depression is needed and should begin from early pregnancy and continue until postpartum.

12 January 2014 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
MAMuhammad Aslam
Muhammad Aslam
CYChing Ho Yen
Ching Ho Yen
CCChia-Hao Chang
Chia-Hao Chang
CJChi-Hyuck Jun
Chi-Hyuck Jun

22 June 2018 in BMC Complementary and Alternative Medicine
Verified
Journal Article
Open access
PDF file
HLHwey-Fang Liang
Hwey-Fang Liang
YYYao-Hsu Yang
Yao-Hsu Yang
PCPau-Chung Chen
Pau-Chung Chen
HKHsing-Chun Kuo
Hsing-Chun Kuo
CCChia-Hao Chang
Chia-Hao Chang
KWKuang-Ming Wu
Kuang-Ming Wu
Traditional Chinese medicine (TCM) has been used by Chinese patients and in many other countries worldwide. However, epidemiological reports and prescription patterns on children are few. A cohort of 178,617 children aged 18 and under from one million randomly sampled cases of the National Health Insurance Research Database was analyzed for TCM prescription patterns. SAS 9.1 was applied and descriptive medicine utilization patterns were presented. The cohort included 112,889 children treated by TCM, with adolescents (12- to 18-year-olds) as the largest group. In the children’s TCM outpatient visits, Chinese herbal remedies were the main treatment. The top three categories of diseases treated with Chinese herbal remedies were respiratory system; symptoms, signs, and ill-defined conditions; and digestive system. The top three categories using acupuncture were: injury and poisoning, diseases of the musculoskeletal system and connective tissue, and diseases of the respiratory system. Of the top ten herbal medicines prescribed by TCM physicians, the top nine herbal formulae and the top ten single herbs were associated with diseases of the respiratory system. This study identified patterns of TCM prescriptions for children and common disease categories treated with TCM. The results provide a useful reference for health policy makers and for those who consider the usage of TCM for children.

30 August 2023 in Healthcare
Verified
Journal Article
Open access
PDF file
CHChing-Feng Huang
Ching-Feng Huang
FCFan-Hao Chou
Fan-Hao Chou
CCChia-Hao Chang
Chia-Hao Chang
SGSu-Er Guo
Su-Er Guo
Maintaining a healthy caloric intake and expenditure balance is challenging. The preliminary study examined (a) the associations of Body Mass Index (BMI), body image, perceived stress, mental health, dietary habits, and exercise participation among 310 female college nursing students and (b) the differences in these factors among BMI subgroups. The cutoffs for underweight, normal weight, overweight, and obesity were <18.5 kg/m2, ≥18.5 but <23 kg/m2, ≥23 but <25 kg/m2, and ≥25 kg/m2, respectively. The survey used Multidimensional Body-Self Relations Questionnaire—Appearance Scale, Perceived Stress Scale, and Chinese Health Questionnaire (CHQ). Because of a non-normal distribution, non-parametric statistics were used. The study found that BMI correlated with body image. The lower the BMI, the higher the satisfactory score the participants rated. BMI was irrelated to diet, exercise, stress, and mental health. The participants were unlikely to eat under stress and negative moods. The underweight group (17.1%) had the highest satisfactory score on their appearance evaluation. There was no difference between the overweight (14.2%) and obese (11.0%) groups. Meanwhile, the median of perceived stress was 18 and the prevalence of mental disturbance was 45.2% based on the CHQ. Underweight, overweight, obesity, high perceived stress, and poor mental health among nursing students warrant attention. Nurse educators should strengthen their coping strategies and provide support. A longitudinal study may consider incorporating coping strategies into the study design.

27 June 2013 in BMC Public Health
Verified
Journal Article
Open access
PDF file
CCChia-Hao Chang
Chia-Hao Chang
YPYun-Shing Peng
Yun-Shing Peng
CCChang-Cheng Chang
Chang-Cheng Chang
MCMei-Yen Chen
Mei-Yen Chen
Preventing diabetic foot problems (DFP) and their associated consequences is a critical in rural regions. The objective is to present an association of non-invasive DFP assessment tools and physiological indicators for early detection among rural cases of diabetes in Taiwan. Secondary data analysis of 387 participants previously diagnosed with type 2 diabetes was used. The Michigan Neuropathy Screening Instrument (MNSI), Ankle Brachial Index (ABI), optimal scaling combination (OSC) of MNSI, and age were used to examine peripheral neurovascular function. The King’s College classification (KC) and Texas risk classification (TRC) were used to understand diabetic foot complications. The findings indicated that MNSI was negatively correlated with ABI, but positively with diabetes duration, age, KC, TRC, fasting blood glucose, low density of lipoprotein cholesterol, body mass index and waist circumference. The area under the receiver operating characteristic curves for assessing the risk of ABI based on OSC was larger than for MNSI, KC, and TRC. It is shown that using OSC, MNSI, and ABI as community screening tools is useful in detecting early neurovasculopathy. In addition, where an ABI machine is unavailable, primary healthcare providers that perform MNSI or OSC may be cost-effective. The study was approved by the institutional review board of the ethical committee (No 98-2224-B).

15 May 2015 in Trials
Verified
Journal Article
Open access
PDF file
CTChi-Chuan Tseng
Chi-Chuan Tseng
ATAlan Tseng
Alan Tseng
CCChia-Hao Chang
Chia-Hao Chang
Obesity-related diseases have a profound economic impact on health care systems. Laser acupuncture has been shown to have beneficial effects on obesity. However, to our knowledge, those trials were either non-randomized, non-blinded or included low-calorie diet control. We have, therefore, designed a patient-assessor-blinded, randomized, sham-controlled crossover trial to investigate the significance of laser acupuncture on obesity. 104 subjects above 20 years of age with a body mass index (BMI) of over 25 kg/m2 will be divided into 2 groups: experimental and control. Each subject will receive the treatment relevant to their group 3 times a week for 8 weeks. After 8 weeks of treatment the subject will enter a 2-week washout period, after which the subjects will switch groups. Measurements will include BMI, body fat percentage, waist-to-hip ratio (WHR), waist circumference, hip circumference, skinfold thickness, thigh circumference, body fat, blood pressure, heart rate, hunger and the 36-item Short-Form Health Survey (SF-36). The results of this study will provide the basis for future large-scale multicenter trials investigating the effects of laser acupuncture on obesity. ClinicalTrials.gov Identifier: NCT02167308 ; registration date: 14 June 2014.