2024-04-04

082_ Winter birth and its epiphenomena in mental health: more than a risk factor

Research Question and Aims

Winter birth is a widely replicated risk factor for the development of mental health disorders (psychosis, affective disorders). However recent research highlighted that not only increases the risk of a disorder but also promotes other outcomes, such as reduced height in females, increased clinical severity, reduced gyrification, and more treatment resistance. Although no specific pathophysiological path has been described, more frequent viral infections or reduced Vitamin D exposure in colder seasons might have underlay previous findings.
We aim to describe the impact of winter birth in A) metabolism B) anthropometric, C) clinical, and D) cognitive outcomes in affective and non-affective psychosis.
A)Winter birth subjects will display worse metabolic/medical conditions with sex differences (as expected from initial findings in naïve patients, shorter height in females shall probably imply a worse metabolic condition in females as more frequent 3-trimester viral infections will also impact metabolism as described by the DOHaD and Barker hypothesis) (slimmer patients present higher antipsychotic-induced weight gain over time). In PsyCourse the outcome will be more prevalence of the described categories (cholesterol, asthma, diabetes, autoimmune….. notably asthma has been related to prenatal events in the general population, and we are theoretically considering winter birth as a stressful event in terms of more prevalent viral infections) (Garcia-Rizo 2020)
B) Winter birth subjects will have different anthropometric patterns with sex differences (females will be shorter as expected but also with increased BMI and waist. (Garcia-Rizo 2024)
C) Winter birth subjects will present worse psychopathological profiles as previously described and earlier age of onset (Kim 2017)
D) Winter birth will display a worse neuropsychological profile expected by neuroimaging (Takahashi 2023)

Analytic Plan

Generalized linear model analysis would be used.
For metabolic outcome, metabolic parameters would be tested as independent factor (dichotomous), while age, sex, season of birth, type of treatment/duration would be included as covariates.
For anthropometry, height/weight/waist/BMI would be tested as independent factors, while age, sex, season of birth, type of treatment/duration would be included as covariates (except for height, where treatment would not be needed).
For cognitive function and clinical severity, cognitive test and clinical scales will serve as independent factor, while age, sex, season of birth, educational status and type of treatment/duration would be included as covariates.
Initial analyses would be performed in all subjects but later we will stratify in subjects with / without family history [it would give us a proxy for genetic risk vs environmental factors (winter birth)].

Resources needed

v1_sex
v1_age
v1_seas_birth
v1_age_m_birth
v1_age_f_birth
v1_school
v1_ed_status
v1_curr_paid_empl
v1_disabl_pens
v1_dur_illness
v1_Antidepressants
v1_Antipsychotics
v1_Mood_stabilizers
v1_Tranquilizers
v1_Other_psychiatric
v1_lith
v1_fam_hist
v1_height
v1_weight
v1_waist
v1_bmi
v1_chol_trig
v1_hyperten
v1_ang_pec
v1_heart_att
v1_stroke
v1_diabetes
v1_hyperthy
v1_hypothy
v1_osteopor
v1_asthma
v1_copd
v1_allerg
v1_neuroder
v1_psoriasis
v1_autoimm
v1_cancer
v1_stom_ulc
v1_kid_fail
v1_stone
v1_epilepsy
v1_migraine
v1_parkinson
v1_liv_cir_inf
v1_ever_smkd
v1_age_smk
v1_no_cig
v1_scid_dsm_dx
v1_scid_dsm_dx_cat
v1_scid_age_MDE
v1_scid_no_MDE
v1_scid_age_mania
v1_scid_no_mania
v1_scid_age_hypomania
v1_scid_no_hypomania
v1_scid_ever_halls
v1_scid_ever_delus
v1_scid_ever_psyc
v1_scid_age_fst_psyc
v1_scid_yr_fst_psyc
v1_scid_evr_suic_ide
v1_suic_attmpt
v1_panss_sum_pos
v1_panss_sum_neg
v1_panss_sum_gen
v1_panss_sum_tot
v1_idsc_sum
v1_ymrs_sum
v1_cgi_s
v1_gaf
v1_nrpsy_com
v1_nrpsy_lng
v1_nrpsy_mtv
v1_nrpsy_tmt_A_rt
v1_nrpsy_tmt_A_err
v1_nrpsy_tmt_B_rt
v1_nrpsy_tmt_B_err
v1_nrpsy_dgt_sp_frw
v1_nrpsy_dgt_sp_bck
v1_nrpsy_dg_sym
v1_nrpsy_mwtb
v1_whoqol_dom_glob
v1_whoqol_dom_phys
v1_whoqol_dom_psy
v1_whoqol_dom_soc
v1_whoqol_dom_env
v2_age
v2_weight
v2_waist
v2_bmi
v2_Antidepressants
v2_Antipsychotics
v2_Mood_stabilizers
v2_Tranquilizers
v2_Other_psychiatric
v2_lith
v2_panss_sum_pos
v2_panss_sum_neg
v2_panss_sum_gen
v2_panss_sum_tot
v2_idsc_sum
v2_ymrs_sum
v2_cgi_s
v2_cgi_c
v2_gaf
v2_nrpsy_com
v2_nrpsy_lng
v2_nrpsy_mtv
v2_nrpsy_vlmt_check
v2_nrpsy_vlmt_corr
v2_nrpsy_vlmt_lss_d
v2_nrpsy_vlmt_lss_t
v2_nrpsy_vlmt_rec
v2_nrpsy_tmt_A_rt
v2_nrpsy_tmt_A_err
v2_nrpsy_tmt_B_rt
v2_nrpsy_tmt_B_err
v2_nrpsy_dgt_sp_frw
v2_nrpsy_dgt_sp_bck
v2_nrpsy_dg_sym
v2_whoqol_dom_glob
v2_whoqol_dom_phys
v2_whoqol_dom_psy
v2_whoqol_dom_soc
v2_whoqol_dom_env
v3_age
v3_weight
v3_bmi
v3_waist
v3_Antidepressants
v3_Antipsychotics
v3_Mood_stabilizers
v3_Tranquilizers
v3_Other_psychiatric
v3_lith
v3_panss_sum_pos
v3_panss_sum_neg
v3_panss_sum_gen
v3_panss_sum_tot
v3_idsc_sum
v3_ymrs_sum
v3_cgi_s
v3_cgi_c
v3_gaf
v3_nrpsy_com
v3_nrpsy_lng
v3_nrpsy_mtv
v3_nrpsy_vlmt_check
v3_nrpsy_vlmt_corr
v3_nrpsy_vlmt_lss_d
v3_nrpsy_vlmt_lss_t
v3_nrpsy_vlmt_rec
v3_nrpsy_tmt_A_rt
v3_nrpsy_tmt_A_err
v3_nrpsy_tmt_B_rt
v3_nrpsy_tmt_B_err
v3_nrpsy_dgt_sp_frw
v3_nrpsy_dgt_sp_bck
v3_nrpsy_dg_sym
v3_whoqol_dom_glob
v3_whoqol_dom_phys
v3_whoqol_dom_psy
v3_whoqol_dom_soc
v3_whoqol_dom_env
v4_age
v4_weight
v4_bmi
v4_waist
v4_Antidepressants
v4_Antipsychotics
v4_Mood_stabilizers
v4_Tranquilizers
v4_Other_psychiatric
v4_lith
v4_panss_sum_pos
v4_panss_sum_neg
v4_panss_sum_gen
v4_panss_sum_tot
v4_idsc_sum
v4_ymrs_sum
v4_cgi_s
v4_cgi_c
v4_gaf
v4_nrpsy_com
v4_nrpsy_lng
v4_nrpsy_mtv
v4_nrpsy_vlmt_check
v4_nrpsy_vlmt_corr
v4_nrpsy_vlmt_lss_d
v4_nrpsy_vlmt_lss_t
v4_nrpsy_vlmt_rec
v4_nrpsy_tmt_A_rt
v4_nrpsy_tmt_A_err
v4_nrpsy_tmt_B_rt
v4_nrpsy_tmt_B_err
v4_nrpsy_dgt_sp_frw
v4_nrpsy_dgt_sp_bck
v4_nrpsy_dg_sym
v4_whoqol_dom_glob
v4_whoqol_dom_phys
v4_whoqol_dom_psy
v4_whoqol_dom_soc
v4_whoqol_dom_env