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1 sugar were associated with modestly reduced fecundability.
2 to the HEI-2010 was associated with greater fecundability.
3 ence to the DDGI was associated with greater fecundability.
4 matory effects, were associated with greater fecundability.
5 ood was associated with moderately decreased fecundability.
6 d was associated with a moderate decrease in fecundability.
7 oratory dietary patterns are associated with fecundability.
8 ffered the effects of childhood adversity on fecundability.
9 etabolites, caffeinated beverage intake, and fecundability.
10 PC2 and PC3 were not associated with fecundability.
11 ) were generally more likely to have reduced fecundability.
12 and 95% CIs for associations between ADI and fecundability.
13 discrimination were associated with reduced fecundability.
14 The oPDI was not associated with fecundability.
15 advantage would be associated with decreased fecundability.
16 t the association between discrimination and fecundability.
17 le-average caffeinated beverage intake, with fecundability.
18 ns of the 3 current approaches to studies of fecundability.
19 al flow were not appreciably associated with fecundability.
20 ydrates, dietary fiber, and added sugar with fecundability.
21 among women and men was not associated with fecundability.
22 at low doses was not notably associated with fecundability.
23 15; 95% CI: 0.95, 1.40) were associated with fecundability.
24 5% CI, 0.62-0.85]) was associated with lower fecundability.
25 few studies have examined their influence on fecundability.
26 ssociation between these dietary factors and fecundability.
27 owards understanding their associations with fecundability.
28 s (FFSB) pattern was associated with reduced fecundability (0.61; 95% CI, 0.40-0.91; P trend, 0.018).
29 ce to the hPDI was associated with increased fecundability (1.46; 95% CI, 1.02-2.07; P trend, 0.036).
30 cium, potassium, magnesium, or vitamin D and fecundability, a greater consumption of phosphorus and l
32 been established to systematically evaluate fecundability among females who are attempting to concei
33 16;31(9):2119-2127) found a 35% reduction in fecundability among males with urinary acetaminophen con
35 tively evaluated dairy intake in relation to fecundability among women who were planning for pregnanc
36 multiple modifiable risk factors for lowered fecundability and a substantially higher conception rate
37 the one-carbon cycle plasma metabolites and fecundability and determined whether it is modified by m
38 th women and men, were associated with lower fecundability and increased risks of subfertility but no
39 t not seafood, was associated with increased fecundability and lower subfertility (FR: 1.10, 95% CI:
40 a-3 PUFA ratio was associated with increased fecundability and lower subfertility risk [fecundability
42 ich foods and omega-3 and omega-6 PUFAs with fecundability and subfertility in females and males.
46 tte use was associated with slightly reduced fecundability, but estimates of its independent and join
47 ation of drug or device efficacy, individual fecundability, coital frequency, and user adherence and
48 ity (FR, 0.72 [95% CI, 0.63-0.82]) had lower fecundability compared with women with normal weight.
50 cundability: for every unit increase in BMI, fecundability decreased (fecundability ratio [FR]: women
51 isk factors have been identified for reduced fecundability (defined as lower probability of conceptio
54 rette use was associated with slightly lower fecundability (fecundability ratio = 0.84, 95% confidenc
55 women and men was associated with decreased fecundability (fecundability ratio = 0.90, 95% confidenc
56 mg in women and men was not associated with fecundability (fecundability ratio = 0.98, 95% CI 0.91-1
57 was associated with a transient reduction in fecundability (for infection within 60 days, FR = 0.82,
58 I in women and men was associated with lower fecundability: for every unit increase in BMI, fecundabi
59 of subfertility were in line with those for fecundability; for example, poverty was associated with
61 the highest quintile of the uPDI had reduced fecundability (FR of Q5 compared with Q1, 0.65; 95% CI,
63 discrimination was associated with decreased fecundability (FR, 0.93 [95% CI, 0.88-0.99]), especially
65 affeinated beverages was not associated with fecundability (>3 compared with 0 servings/d adjusted FO
66 d SARS-CoV-2 infection in both partners with fecundability (i.e., the per-cycle probability of concep
67 e association between 4 dietary patterns and fecundability in 2 preconception cohorts of couples tryi
69 r diet quality), was associated with reduced fecundability in both SF and PRESTO (DII >= -1.5 compare
71 cination was not appreciably associated with fecundability in either partner (female fecundability ra
72 studies of the adverse effect of tobacco on fecundability in female smokers and suggest an effect of
73 thionine cycles, were associated with higher fecundability in preconception women with lower IR but l
74 be investigated as an independent measure of fecundability in studies that focus on exposures hypothe
75 ve traits, such as fertility, fecundity, and fecundability, is heritable in humans, but identifying a
76 etween specific food groups or nutrients and fecundability [measured by time to pregnancy (TTP)].
78 lar- and luteal-phase lengths, discrete-time fecundability models for time to pregnancy, and logistic
79 d with reduced fecundity in adjusted models (fecundability odds ratio (FOR) = 0.69 (95% confidence in
81 5% confidence interval: 0.36, 1.18) and DDE (fecundability odds ratio for DDE > or = 60 microg/liter
82 est exposure category in terms of both PCBs (fecundability odds ratio for PCBs > or = 5.00 microg/lit
83 ox proportional hazards models, we estimated fecundability odds ratios (FORs) and 95% CIs according t
84 g Cox models for discrete time, we estimated fecundability odds ratios (FORs) and 95% CIs separately
85 discrete survival time were used to estimate fecundability odds ratios (FORs) and 95% confidence inte
88 2, 3, 4, and 5 risk scores had reductions in fecundability of 31% (adjusted fecundability ratio [FR],
90 the association between e-cigarette use and fecundability, overall and according to combustible ciga
91 n by 6 and 12 cycles of attempt and relative fecundability (probability of conception in a given mens
92 with fecundability in either partner (female fecundability ratio (FR) = 1.08, 95% confidence interval
93 d fecundability and lower subfertility risk [fecundability ratio (FR): 0.92, 95% confidence interval
94 ssociated with slightly lower fecundability (fecundability ratio = 0.84, 95% confidence interval (CI)
95 4-1.00) and men who were heavy tea drinkers (fecundability ratio = 0.85, 95% CI 0.69-1.05), regardles
96 , 95% confidence interval (CI) 0.82-0.98 and fecundability ratio = 0.88, 95% CI 0.81-0.95, respective
97 was associated with decreased fecundability (fecundability ratio = 0.90, 95% confidence interval (CI)
98 served among women who were coffee drinkers (fecundability ratio = 0.92, 95% CI 0.84-1.00) and men wh
99 ssociated with a delay in time to pregnancy (fecundability ratio = 0.95, 95% confidence interval: 0.8
100 d men was not associated with fecundability (fecundability ratio = 0.98, 95% CI 0.91-1.07 and fecunda
101 ndability ratio = 0.98, 95% CI 0.91-1.07 and fecundability ratio = 1.05, 95% CI 0.97-1.14, respective
102 d with lower fecundability (confounder model fecundability ratio [FR], 0.61 [95% CI, 0.51-0.72]).
103 reductions in fecundability of 31% (adjusted fecundability ratio [FR], 0.69; 95% CI, 0.54-0.88), 41%
104 it increase in BMI, fecundability decreased (fecundability ratio [FR]: women, 0.98 [95% CI, 0.97-0.99
106 ties regression models were used to estimate fecundability ratios (FRs) and 95% CIs across categories
108 l probabilities regression models to compute fecundability ratios (FRs) and 95% CIs, adjusting for po
109 probabilities regression models to estimate fecundability ratios (FRs) and 95% CIs, adjusting for po
110 usted for confounders, were used to estimate fecundability ratios (FRs) and 95% CIs, with FR > 1 indi
111 probabilities regression models to estimate fecundability ratios (FRs) and 95% confidence intervals
113 l probabilities models were used to estimate fecundability ratios and 95% CIs for associations betwee
116 oportional probabilities models to calculate fecundability ratios and 95% confidence intervals, adjus
117 ative to average cycle lengths (27-29 days), fecundability ratios for cycle lengths <25, 25-26, 30-31
118 t regularized within 2 years after menarche, fecundability ratios for cycles that regularized 2-3 and
119 ds models with frailty were used to estimate fecundability ratios for time to pregnancy in relation t
120 disadvantaged neighborhood status, adjusted fecundability ratios were 0.79 (95% CI, 0.66-0.96) for n
121 of e-cigarettes and combustible cigarettes, fecundability ratios were 0.83 (95% CI: 0.54, 1.29) for
125 mpact on time to pregnancy and, likewise, on fecundability ratios, especially under conditions of low
128 y discrimination was associated with reduced fecundability (score >=7 vs 0: FR, 0.82 [95% CI, 0.75-0.
132 e, or alcohol use among men and women affect fecundability (the monthly probability of conception).
133 association between childhood adversity and fecundability (the per-cycle probability of conception),
136 tice of mortgage lending discrimination, and fecundability, the per-cycle probability of conception.
137 adherence to the hPDI may be beneficial for fecundability, though this requires confirmation by futu
144 appreciable association between the aMed and fecundability, whereas greater adherence to the DDGI was