|
chinese |
33 |
|
covid-19 |
24 |
|
mental health |
21 |
|
health literacy |
19 |
|
public health |
18 |
|
intimate partner violence |
17 |
|
adult learning principles |
16 |
|
collaborative practice |
16 |
|
evaluation |
16 |
|
interprofessional education |
16 |
|
sexual health |
16 |
|
depression |
15 |
|
anxiety |
14 |
|
hong kong |
14 |
|
ehealth |
12 |
|
nursing |
12 |
|
breastfeeding |
11 |
|
dating violence |
11 |
|
prevalence |
11 |
|
reliability |
11 |
|
women's health |
11 |
|
confirmatory factor analysis |
10 |
|
covid-19 pandemic |
10 |
|
parenting |
10 |
|
sexual minority |
10 |
|
stress |
10 |
|
health sciences |
9 |
|
medicine |
9 |
|
nonrestorative sleep |
9 |
|
pharmacy |
9 |
|
resilience |
9 |
|
undergraduate students |
9 |
|
validity |
9 |
|
women |
9 |
|
diabetes |
8 |
|
item response theory |
8 |
|
item selection |
8 |
|
misconception |
8 |
|
optimal test assembly |
8 |
|
perception |
8 |
|
qualitative |
8 |
|
smoking cessation |
8 |
|
stay-at-home |
8 |
|
temperature |
8 |
|
theory of planned behaviour |
8 |
|
weather |
8 |
|
abused women |
7 |
|
advertising and promotion |
7 |
|
diabetes mellitus |
7 |
|
digital work |
7 |
|
family well-being |
7 |
|
general population |
7 |
|
information sharing |
7 |
|
lifestyle |
7 |
|
media |
7 |
|
mobile apps |
7 |
|
noise sensitivity |
7 |
|
prediabetes |
7 |
|
prediabetic state |
7 |
|
prevention |
7 |
|
preventive measures |
7 |
|
psychometric validation |
7 |
|
quality of life |
7 |
|
risk factor |
7 |
|
risk factors |
7 |
|
safety |
7 |
|
screen time |
7 |
|
sex education |
7 |
|
surveillance and monitoring |
7 |
|
willingness to sustain |
7 |
|
bifactor |
6 |
|
child maltreatment |
6 |
|
compliance |
6 |
|
coronavirus |
6 |
|
depression symptom |
6 |
|
education |
6 |
|
hardiness |
6 |
|
income instability |
6 |
|
injury |
6 |
|
job loss |
6 |
|
measurement invariance |
6 |
|
meta-analysis |
6 |
|
meta-regression |
6 |
|
older adults |
6 |
|
psychological health |
6 |
|
randomized controlled trial |
6 |
|
social distancing |
6 |
|
social support |
6 |
|
suicide |
6 |
|
unemployment |
6 |
|
vaccine acceptance |
6 |
|
vaccine hesitancy |
6 |
|
vulnerable group |
6 |
|
actigraphy |
5 |
|
alertness |
5 |
|
community |
5 |
|
coping |
5 |
|
culture |
5 |
|
dating apps |
5 |
|
depression & mood disorders |
5 |
|
economic abuse |
5 |
|
ehealth literacy |
5 |
|
ethnic minority |
5 |
|
gastrointestinal tumours |
5 |
|
health ambassadors |
5 |
|
hrqol |
5 |
|
internet |
5 |
|
mediator |
5 |
|
men who have sex with men |
5 |
|
mental health—state of emotional and social well-being |
5 |
|
nigeria |
5 |
|
noise |
5 |
|
nutritional support |
5 |
|
obstetric/gynecology patients |
5 |
|
pandemic preparedness |
5 |
|
parkinson’s disease |
5 |
|
preventive medicine |
5 |
|
primary prevention |
5 |
|
process evaluation |
5 |
|
psychological distress |
5 |
|
psychological outcomes |
5 |
|
qualitative research |
5 |
|
research |
5 |
|
risky sexual behaviours |
5 |
|
spirituality |
5 |
|
acculturation |
4 |
|
adult |
4 |
|
antenatal |
4 |
|
breast feeding |
4 |
|
breast milk |
4 |
|
breast-feeding |
4 |
|
chinese immigrants |
4 |
|
cohabitation |
4 |
|
cohort analysis |
4 |
|
crew resource management |
4 |
|
cultural competency |
4 |
|
depressive symptoms |
4 |
|
domestic violence |
4 |
|
equivalence range |
4 |
|
expression |
4 |
|
factor analysis |
4 |
|
fall |
4 |
|
female |
4 |
|
functional neuroimaging |
4 |
|
gestational age |
4 |
|
hookah |
4 |
|
human brain |
4 |
|
immigrants |
4 |
|
immigration status |
4 |
|
influenza |
4 |
|
influenza vaccination |
4 |
|
infodemic |
4 |
|
infodemiology |
4 |
|
instant messaging |
4 |
|
intercultural care |
4 |
|
interventions |
4 |
|
maternal and child health |
4 |
|
medical education |
4 |
|
mental well-being |
4 |
|
meteorological factors |
4 |
|
mhealth |
4 |
|
misinformation |
4 |
|
mobile health |
4 |
|
neurological impact |
4 |
|
online support |
4 |
|
patient–provider communication |
4 |
|
peer support |
4 |
|
physical violence |
4 |
|
postpartum health |
4 |
|
postpartum support |
4 |
|
pregnancy |
4 |
|
pregnant women |
4 |
|
prenatal |
4 |
|
psychological stress |
4 |
|
psychometrics |
4 |
|
public health research |
4 |
|
pumping |
4 |
|
screening |
4 |
|
shisha |
4 |
|
simulation |
4 |
|
teamwork |
4 |
|
the time to breastfeeding initiation |
4 |
|
university student |
4 |
|
waterpipe smoking |
4 |
|
abuse |
3 |
|
abused chinese women |
3 |
|
addiction |
3 |
|
adolescents |
3 |
|
aids |
3 |
|
alcohol use |
3 |
|
artificial embolism |
3 |
|
blogging |
3 |
|
bystanders |
3 |
|
casual sex |
3 |
|
cognitive behavioral therapy |
3 |
|
cognitive therapy training |
3 |
|
college students |
3 |
|
condom |
3 |
|
condoms |
3 |
|
cross-cultural study |
3 |
|
cross-culture |
3 |
|
curfew |
3 |
|
damage control resuscitation |
3 |
|
dating |
3 |
|
debriefing |
3 |
|
depression in women. |
3 |
|
difficult airway mangement |
3 |
|
emerging adults |
3 |
|
epidemiology |
3 |
|
head and neck cancer |
3 |
|
head injuries |
3 |
|
health system responsiveness |
3 |
|
healthcare disparity |
3 |
|
healthcare system |
3 |
|
hiv |
3 |
|
human |
3 |
|
human papillomavirus |
3 |
|
information technology |
3 |
|
intimate partner violence -- psychological aspects. |
3 |
|
lockdown |
3 |
|
maxillofacial injuries |
3 |
|
maximum comfortable level |
3 |
|
mind-body exercise |
3 |
|
mobile application |
3 |
|
mobile phone |
3 |
|
multidetector computed tomography |
3 |
|
national containment |
3 |
|
noise tolerance |
3 |
|
non-restorative sleep |
3 |
|
nursing education |
3 |
|
nursing student |
3 |
|
online research |
3 |
|
patient-provider communication |
3 |
|
peritoneal pelvic packing |
3 |
|
practitioner survey |
3 |
|
psychiatric nursing |
3 |
|
qualitative method |
3 |
|
recreation drug use |
3 |
|
relative risk |
3 |
|
reproductive health |
3 |
|
risk assessment |
3 |
|
rubric |
3 |
|
sex offenses |
3 |
|
sex orientation |
3 |
|
sexual abuse |
3 |
|
sexual behavior |
3 |
|
sexual behaviour |
3 |
|
sexual coercion |
3 |
|
sexual intercourse |
3 |
|
sexual violence |
3 |
|
sexually transmitted diseases |
3 |
|
simulation education |
3 |
|
sleep |
3 |
|
smartphone |
3 |
|
sns |
3 |
|
social networking service |
3 |
|
socio-demographic characteristics |
3 |
|
spatial analysis |
3 |
|
students |
3 |
|
substance misuse |
3 |
|
transcultural validation |
3 |
|
university |
3 |
|
unprotected sex |
3 |
|
upper-body joint mobility |
3 |
|
urban geometry |
3 |
|
vaccine |
3 |
|
vaccine uptake |
3 |
|
women’s health |
3 |
|
autonomic nervous system |
2 |
|
battered women |
2 |
|
cancer |
2 |
|
cardiovascular response |
2 |
|
chinese adults |
2 |
|
chinese martial art |
2 |
|
cognitive function |
2 |
|
cognitive functioning |
2 |
|
community child health |
2 |
|
culturally‐competent care |
2 |
|
emergency department |
2 |
|
emergency units |
2 |
|
ethnic minority women |
2 |
|
exploratory factor analysis |
2 |
|
flic |
2 |
|
head-and-neck cancer |
2 |
|
health‐care access |
2 |
|
help-seeking |
2 |
|
help-seeking behavior |
2 |
|
insomnia |
2 |
|
instruments |
2 |
|
literature review |
2 |
|
male victims |
2 |
|
medical chart review |
2 |
|
middle age |
2 |
|
mild traumatic brain injury |
2 |
|
musculoskeletal disorders |
2 |
|
on-site counseling |
2 |
|
paediatrics |
2 |
|
patient–provider interaction |
2 |
|
post-separation violence |
2 |
|
prediction |
2 |
|
psychometric |
2 |
|
rehabilitation |
2 |
|
somatic symptoms |
2 |
|
south asian |
2 |
|
subjective socioeconomic status |
2 |
|
years lived with disability |
2 |
|
adhd |
1 |
|
attention deficit hyperactivity disorder |
1 |
|
bullying |
1 |
|
child development |
1 |
|
children |
1 |
|
executive functioning |
1 |
|
family |
1 |
|
family-based intervention |
1 |
|
mindfulness |
1 |
|
mindfulness-based intervention |
1 |
|
post‐traumatic growth |
1 |
|
post‐traumatic stress |
1 |
|
psychological adaptation |
1 |
|
spouse abuse |
1 |
|
young mothers |
1 |
