|
covid-19 |
42 |
|
chinese |
39 |
|
children |
35 |
|
screen time |
21 |
|
child psychosocial problems |
16 |
|
coronavirus |
16 |
|
healthcare workers |
16 |
|
home confinement |
16 |
|
hospital policies |
16 |
|
perceived stress |
16 |
|
psychological wellbeing |
16 |
|
school closure |
16 |
|
health-related quality of life |
15 |
|
infants |
15 |
|
physical activity |
15 |
|
vitamin d |
14 |
|
cytokines |
13 |
|
immunoglobulin |
13 |
|
lymphocyte subsets |
13 |
|
sars |
13 |
|
child maltreatment |
12 |
|
false positive |
12 |
|
inflammation |
12 |
|
kawasaki disease |
12 |
|
serology |
12 |
|
adolescence |
10 |
|
bidirectional relationship |
10 |
|
child health |
10 |
|
low-income families |
10 |
|
parental stress |
10 |
|
serum 25-hydroxyvitamin d |
9 |
|
telomere |
9 |
|
adolescents |
8 |
|
bnt162b2 mrna covid-19 vaccines |
8 |
|
family hardship |
8 |
|
health disparity |
8 |
|
hypercytokinemia |
8 |
|
injury prevention |
8 |
|
innate immunity |
8 |
|
kir genetics |
8 |
|
latent class analysis |
8 |
|
mental health |
8 |
|
mobile game |
8 |
|
mobile phone |
8 |
|
nk cells |
8 |
|
physical fitness |
8 |
|
preschooler |
8 |
|
sleep duration |
8 |
|
translation to patients |
8 |
|
vaccine-related myocarditis |
8 |
|
cervical screening |
7 |
|
cohort study |
7 |
|
covid-19 pandemic |
7 |
|
early childhood exposure |
7 |
|
early-life activities |
7 |
|
family financial pressure |
7 |
|
hong kong |
7 |
|
hpv vaccination |
7 |
|
injury |
7 |
|
obesity |
7 |
|
pregnancy |
7 |
|
psychosocial development |
7 |
|
school closures |
7 |
|
school-aged children |
7 |
|
sexual behaviour |
7 |
|
sleep |
7 |
|
social support |
7 |
|
25(oh)d |
6 |
|
adolescent development |
6 |
|
asthma |
6 |
|
blood pressure monitoring, ambulatory |
6 |
|
cox regression |
6 |
|
cross-sectional studies |
6 |
|
down syndrome |
6 |
|
family breakfast |
6 |
|
family dinner |
6 |
|
family functioning |
6 |
|
family meal |
6 |
|
family satisfaction |
6 |
|
fatty acids |
6 |
|
gc gene |
6 |
|
hypertension |
6 |
|
microbiota |
6 |
|
mortality |
6 |
|
peer support |
6 |
|
population-based study |
6 |
|
retrospective cohort |
6 |
|
rhinitis |
6 |
|
rickets |
6 |
|
sex characteristics |
6 |
|
snoring |
6 |
|
social movement |
6 |
|
telomere length |
6 |
|
vdr gene |
6 |
|
vitamin d-binding protein |
6 |
|
young adults |
6 |
|
adulthood |
5 |
|
bmi |
5 |
|
child abuse and neglect |
5 |
|
chinese children |
5 |
|
cord blood |
5 |
|
cytokine |
5 |
|
depressive symptoms |
5 |
|
early motherhood |
5 |
|
exercise |
5 |
|
family cohesion |
5 |
|
family support |
5 |
|
interrupted time series |
5 |
|
mother-offspring dyad |
5 |
|
oxytocin receptor gene |
5 |
|
parenting styles |
5 |
|
rapid repeat pregnancy |
5 |
|
reference values |
5 |
|
risk factors |
5 |
|
stress |
5 |
|
supplementation |
5 |
|
young pregnancy |
5 |
|
academic achievement |
4 |
|
adiposity |
4 |
|
adolescent conduct problems |
4 |
|
bullyinginternet addiction |
4 |
|
cell-free dna |
4 |
|
child |
4 |
|
child behavioral problems |
4 |
|
child development |
4 |
|
circulating dna |
4 |
|
controlled trial |
4 |
|
controlled trials |
4 |
|
danger |
4 |
|
depression |
4 |
|
family socioeconomic status |
4 |
|
game |
4 |
|
game-based intervention |
4 |
|
games |
4 |
|
gamification |
4 |
|
gamified |
4 |
|
gamify |
4 |
|
gaming |
4 |
|
hazard |
4 |
|
hazards |
4 |
|
indicators |
4 |
|
injuries |
4 |
|
maternal substance misuse |
4 |
|
modified delphi research design |
4 |
|
neglect |
4 |
|
parental harsh discipline |
4 |
|
parental involvement |
4 |
|
parent–child activities |
4 |
|
pediatric |
4 |
|
pediatrics |
4 |
|
physical abuse |
4 |
|
psychosocial wellbeing |
4 |
|
randomized |
4 |
|
randomized controlled trial |
4 |
|
rct |
4 |
|
safety |
4 |
|
safety education |
4 |
|
safety training |
4 |
|
school engagement |
4 |
|
serious game |
4 |
|
sibling |
4 |
|
surveillance |
4 |
|
teacher-parent partnership |
4 |
|
unintentional injuries |
4 |
|
youth |
4 |
|
25-hydroxyvitamin d |
3 |
|
alkaline phosphatase |
3 |
|
biological aging |
3 |
|
body mass index |
3 |
|
breastfeeding |
3 |
|
caffeine consumption |
3 |
|
child physical abuse |
3 |
|
childhood |
3 |
|
conduct problems |
3 |
|
dietary patterns |
3 |
|
early childbearing |
3 |
|
elder abuse |
3 |
|
epidemiology |
3 |
|
food frequency questionnaire |
3 |
|
gene x environment interaction |
3 |
|
health care utilization |
3 |
|
obesity consistency |
3 |
|
older adults |
3 |
|
pregnant women |
3 |
|
prospective cohort study |
3 |
|
psychosocial problems |
3 |
|
reciprocal relationship |
3 |
|
sociality |
3 |
|
teenage motherhood |
3 |
|
telomere shortening |
3 |
|
weight trajectory |
3 |
|
adolescent |
2 |
|
anxiety |
2 |
|
body acceptance |
2 |
|
digital media |
2 |
|
dissonance-based approach |
2 |
|
eating disorder prevention programmes |
2 |
|
meta-analysis |
2 |
|
n-3 pufa intake |
2 |
|
oxytocin |
2 |
|
person-specific analyses |
2 |
|
psychological distress |
2 |
|
rs53576 genotype |
2 |
|
screen |
2 |
|
social media |
2 |
|
video gaming |
2 |
|
health inequalities |
1 |
|
health promotion |
1 |
|
occupational health |
1 |
|
public health |
1 |
|
social class |
1 |
