ライフサイエンスコーパス: unhealthy

1 reached an all-time record 246 (rated "very unhealthy").

2 ntary lifestyle has generally been viewed as unhealthy.

3 idea that blocking adipocyte development is unhealthy.

4 ctively, found in some sufu samples could be unhealthy.

5 pathologically relevant pathways within the 'unhealthy' adipose tissue milieu, triggering fibrosis an

6 hen pain increased over time, the markers of unhealthy ageing increased also.

7 Strong analgesia was associated with unhealthy ageing.

8 y result in increased population exposure to unhealthy air pollutants.

9 persistent exposure of 69 million people to unhealthy air quality conditions.

10 nd that 10.3 million individuals experienced unhealthy air quality levels for more than 10 days due t

11 Results were stratified by unhealthy alcohol and illicit drug use.

12 Overall, 25.9% reported past-year unhealthy alcohol use and 28.4% reported past-year illic

13 Cigarette smoking and unhealthy alcohol use are common causes of preventable m

14 ceipt of an intervention for tobacco use and unhealthy alcohol use as candidate performance measures

15 The identification of unhealthy alcohol use can lead to brief interventions.

16 sess the efficacy of brief interventions for unhealthy alcohol use in medical intensive care unit pat

17 routine delivery of brief interventions for unhealthy alcohol use in the medical intensive care unit

18 Unhealthy alcohol use is a leading contributor to the gl

19 Medical inpatients with unhealthy alcohol use require more extensive, tailored a

20 primary care outpatients with nondependent, unhealthy alcohol use to the inpatient setting, persons

21 and an approach that works for nondependent, unhealthy alcohol use would work for drug use.

22 e, based in part on evidence of efficacy for unhealthy alcohol use.

23 e moment" for smokers and some patients with unhealthy alcohol use.

24 rticularly effective in trauma patients with unhealthy alcohol use.

25 acquired during a food-viewing task in which unhealthy and healthy food pictures were presented.

26 dividuals with and without chronic diseases (unhealthy and healthy obesity).Dietary recalls from 11,7

27 terol levels or elevated blood pressure, and unhealthy and healthy persons.

28 le components were dichotomized into healthy/unhealthy and then combined into a total lifestyle score

29 hey are also less likely to work if they are unhealthy, and could impose an economic burden on famili

30 Because children are becoming overweight, unhealthy, and unfit, understanding the neurocognitive b

31 occurrence between samples from healthy and unhealthy animals, as detected by DART MS.

32 ethodology was applied to liver samples from unhealthy animals.

33 ic abscesses, and demonstrating a healthy or unhealthy appendix.

34 The implications of combining healthy and unhealthy aspects of diet quality within an overall inde

35 Diet quality indexes combine the healthy and unhealthy aspects of diet within a single construct, but

36 ogenesis, and the ECM to both "healthy" and "unhealthy" AT expansion.

37 es, and damping is not due to cells becoming unhealthy because a second stimulus will reinitiate a ro

38 ver certain rewards has been associated with unhealthy behavioral choices.

39 isorders, including anxiety, depression, and unhealthy behaviors such as drinking alcohol and smoking

40 Although unhealthy behaviors were common among all income groups,

41 Discontinuing unhealthy behaviors, such as overeating or drug use, dep

42 gely accounted for by poor health status and unhealthy behaviors.

43 er understand why patients choose healthy or unhealthy behaviors.

44 Decrease in or removal of this unhealthy behaviour could improve health substantially.

45 eate a culture and environment which promote unhealthy behaviour.

46 ies and guidelines to change preferences for unhealthy beverages may therefore be best directed at th

47 nd physical activity behavior and to prevent unhealthy body weights in low- and middle-income countri

48 The Stopping Atherosclerosis and Treating Unhealthy Bone With Rosuvastatin in HIV (SATURN-HIV) tri

49 The Stopping Atherosclerosis and Treating Unhealthy Bone With Rosuvastatin in HIV (SATURN-HIV) tri

50 emory and has been proposed to contribute to unhealthy brain aging and Alzheimer's disease.

51 erlying aging-related Ca2+ dysregulation and unhealthy brain aging and pointing to FKBP1b as a potent

52 hesis that proposes a molecular mechanism of unhealthy brain aging and possibly, Alzheimer's disease.

53 eclining FKBP function plays a major role in unhealthy brain aging.

54 People in the unhealthy categories of all 4 risk factors (sleep <7 hou

55 ay perturbations, in the cells, resulting in unhealthy cell development or diseases.

56 membrane hydrolysis was confined to the few unhealthy cells present in each sample.

57 ent programs aimed at preventing or treating unhealthy child weight may need to be carefully scrutini

58 ildren had stronger activation while viewing unhealthy compared with healthy foods in areas involved

59 dorsolateral prefrontal cortex while viewing unhealthy compared with healthy foods.

60 central gyrus than did adults in response to unhealthy compared with healthy foods.

61 rrelation between BMI and neural response to unhealthy compared with healthy foods.

62 tal gyrus and the right calcarine sulcus for unhealthy compared with healthy foods.

63 Substance use may be an unhealthy coping response to perceived unfair treatment

64 e effects, further disrupting microbiomes of unhealthy corals and concentrating 80% of mortality in t

65 stress (FMD; > or =14 self-reported mentally unhealthy days in the past 30 days) among persons with a

66 terizes areas of heightened vulnerability to unhealthy developmental and aging processes, as exemplif

67 nt need to understand the mechanisms linking unhealthy diet and mental disorders.

68 incurred during adulthood (transitioning to unhealthy diet and mTBI) and predispose the brain to a P

69 s were included: smoking, heavy alcohol use, unhealthy diet and physical inactivity.

70 ratio [RR] = 1.47) and children with higher unhealthy diet scores (RR = 1.08) complied more, but ove

71 pearman rank correlation between healthy and unhealthy diet scores was positive (r = 0.09).

72 re healthy diet behaviors did not have lower unhealthy diet scores.

73 moking, overweight, sedentary lifestyle, and unhealthy diet), participants mentioned a mean of two; m

74 use; cigarette smoking, physical inactivity, unhealthy diet, and illicit drug use-according to CHC af

75 Our data suggest that unhealthy dietary habits such as higher intake of SSBs c

76 e other based on lesser consumption of seven unhealthy dietary items.

77 highest and the lowest categories of Western/unhealthy dietary patterns (OR = 1.09; 95% CI: 0.98, 1.2

78 cross-sectional analyses, which may reflect unhealthy dietary patterns among subjects with depressiv

79 antly white cohorts, ie, that "healthy" and "unhealthy" dietary patterns empirically exist and that t

80 he two leading behavioural risk factors were unhealthy diets and tobacco smoking in 2015.

81 chanisms through which apolipoprotein E4 and unhealthy diets impart risk for developing AD.

82 vioural risk factors, including tobacco use, unhealthy diets, and physical inactivity are prevalent,

83 tus and harmful use of alcohol, tobacco use, unhealthy diets, and physical inactivity within LLMICs.

84 vention did not have efficacy for decreasing unhealthy drug use in primary care patients identified b

85 ntiation between the healthy (symbiotic) and unhealthy (dysbiotic) microbial state has not yet been d

86 What can be done to reduce unhealthy eating among adolescents?

87 ms that link these factors and contribute to unhealthy eating are unclear.

88 strongly, which, in turn, may contribute to unhealthy eating behaviors later in life.

89 Unhealthy eating behaviors often develop in the setting

90 eighborhood fast-food outlets and individual unhealthy eating behaviors that jointly affect weight ga

91 arents may act as an inhibitory influence on unhealthy eating for younger children.

92 Evening types tend to have unhealthy eating habits and suffer from psychological pr

93 rising prevalence of overweight and obesity, unhealthy eating habits, and insufficient physical activ

94 Unhealthy eating is an increasing problem and underlies

95 Across multiple environments, unhealthy environments are those that threaten safety, t

96 rs as classes of mechanisms that address how unhealthy environments get "under the skin," to create h

97 Palm oil (PO) may be an unhealthy fat because of its high saturated fatty acid c

98 ales and advertising; reducing dietary salt, unhealthy fats, and sugars through regulation and well-d

99 (SMD) in food intake was calculated between unhealthy food advertising and control conditions.

100 ation between acute exposure to experimental unhealthy food advertising and food consumption.

101 that seeks to reduce children's exposure to unhealthy food advertising.

102 of poor nutritional quality, furthering the unhealthy food environments.

103 f the built environment, including access to unhealthy food outlets, are hypothesized to contribute t

104 ing changes that result in greater access to unhealthy food outlets, is associated with T2D.

105 demand-type explanations for consumption of unhealthy food, government regulation versus industry se

106 reased physical activity, and consumption of unhealthy food.

107 tion to restrict the commercial marketing of unhealthy foods and beverages to children.We compared th

108 ods was inversely related to their intake of unhealthy foods and to determine whether this differed b

109 In children, unhealthy foods elicited stronger activation in the righ

110 best chance of influencing people to abandon unhealthy foods in favor of fresh vegetables, fruit, gra

111 Concern about the overconsumption of unhealthy foods is growing worldwide.

112 ng ways to decrease the reinforcing value of unhealthy foods may help with adherence to diets and mai

113 Unhealthy foods might elicit more attention both in chil

114 lthy foods was not inversely associated with unhealthy foods overall or within any subgroup.

115 pin regulations restricting the marketing of unhealthy foods to children.

116 growing price disparity between healthy and unhealthy foods, then the current strategies for obesity

117 ctivation in inhibitory areas in response to unhealthy foods, which may mean they are more susceptibl

118 rabilities, making it easier for them to eat unhealthy foods.

119 verse association between eating healthy and unhealthy foods.

120 more strongly than did adults in response to unhealthy foods.

121 ting, availability, and price of healthy and unhealthy foods; modeling health impacts of complex diet

122 All metabolically unhealthy groups had a similarly elevated risk: normal w

123 althy (zero or one metabolic abnormality) or unhealthy (>/= 2 metabolic abnormalities).

124 healthy' (0 or 1 metabolic abnormality) or 'unhealthy' (>/=2 metabolic abnormalities).

125 pping breakfast is considered a frequent and unhealthy habit associated with an increased cardiovascu

126 the adverse consequences of engaging in this unhealthy habit.

127 festations (i.e., craving and persistence of unhealthy habits).

128 n overweight/obesity was combined with other unhealthy habits, the risk was even greater.

129 Most dramatically, mice eating an otherwise unhealthy high-calorie, high-sugar Western diet with red

130 diovascular disease than their metabolically unhealthy (hyperinsulinaemic) overweight/obese counterpa

131 first tertile of C-peptide and metabolically unhealthy if above the first tertile.

132 lite composition of their serum and that two unhealthy individuals could be discriminated from the re

133 The major difference between healthy and unhealthy individuals was the concentration of homarine,

134 e its functional capabilities in healthy and unhealthy individuals.

135 tinguish them from the healthy cells and the unhealthy inflamed cells at the cellular level with an a

136 .1), but substantially poorer diets based on unhealthy items (-33.0, -37.8 to -28.3).

137 val (UI) 0.9 to 3.5), whereas diets based on unhealthy items worsened (-2.5, -3.3 to -1.7).

138 healthy items improved, while consumption of unhealthy items worsened across the world, with heteroge

139 t deterioration in dietary patterns based on unhealthy items.

140 ions can elevate western US surface ozone to unhealthy levels during spring.

141 nacking and eating out as part of an overall unhealthy life-style, is associated with an increased pr

142 d metabolic syndrome in this age group, with unhealthy lifestyle also playing an independent role.

143 As combined unhealthy lifestyle behaviors had substantial impact on

144 antipsychotic-related hyperprolactinemia and unhealthy lifestyle behaviors remain unclear, needing to

145 ment resulting in longer life expectancy and unhealthy lifestyle behaviors.

146 thood are associated with decreased risk and unhealthy lifestyle changes are associated with increase

147 Despite decades of effort, unhealthy lifestyle habits and ASCVD risk factor levels

148 Unhealthy lifestyle habits are a major contributor to co

149 iations were only partially modulated by the unhealthy lifestyle habits of individuals with lower SES

150 After adjustment for the unhealthy lifestyle of populations and deprivation, the

151 nd likely related to the underlying illness, unhealthy lifestyle, and antipsychotic medications, whic

152 rs such as adverse socioeconomic conditions, unhealthy lifestyle, and lower mental wellbeing might re

153 levels were more likely to have low incomes, unhealthy lifestyle, higher triglycerides levels, other

154 Having unhealthy lifestyles and 2 CFH risk alleles increased AM

155 lear if there is a corresponding increase in unhealthy lifestyles as rural areas adopt urban characte

156 Unhealthy lifestyles have been associated with increased

157 However, unhealthy lifestyles increased AMD risk regardless of AM

158 Urban living is associated with unhealthy lifestyles that can increase the risk of cardi

159 at risk for poor health outcomes because of unhealthy lifestyles, but few studies have developed tra

160 are highly prevalent and are associated with unhealthy lifestyles, we describe the potential role of

161 hat estimations of the calorie content of an unhealthy main meal food tend to be lower when the food

162 The perception that all high-fat snacks are unhealthy may be wrong.

163 lts, 1 healthy ("fish and vegetables") and 2 unhealthy ("meat and chips" and "chocolate and sweets")

164 sensitivity and importantly does not induce unhealthy metabolic complications.

165 thway, which is essential for elimination of unhealthy mitochondria.

166 ut the day may be necessary to short-circuit unhealthy molecular signals causing metabolic diseases.

167 he index year were considered "metabolically unhealthy" (MU), while those with none were considered "

168 identified prudent/healthy (n = 18), Western/unhealthy (n = 17), and drinker (n = 4) dietary patterns

169 An unhealthy neuron may be rendered dysfunctional or non-vi

170 The metabolically unhealthy non-obese (MUNO) subjects (hazard ratio [HR],

171 of dietary patterns with healthy obesity and unhealthy nonobesity were weaker, albeit significant.Con

172 weight (BMI >/= 25 kg/m2), (3) metabolically unhealthy/normal weight (BMI < 25 kg/m2), and (4) metabo

173 r colorectal cancer risk among metabolically unhealthy/normal weight (odds ratio [OR] = 1.59, 95% CI

174 The existence of unhealthy NW phenotypes is supported by their increased

175 adipocytes in visceral fat of metabolically unhealthy obese (MUO) individuals are significantly larg

176 own to be lower in MHO than in metabolically unhealthy obese (MUO).

177 kely to meet these recommendations than were unhealthy obese adults (prevalence ratio: 1.26; 95% CI:

178 r total physical activity in healthy than in unhealthy obese adults is evident only when measured obj

179 had higher total physical activity than did unhealthy obese adults only when assessed by acceleromet

180 bolically healthy obese adults than in their unhealthy obese counterparts.

181 y of Th17 cells in tissue from metabolically unhealthy obese donors, revealed not only by the presenc

182 GA recommendations increased the OR of being unhealthy obese from 1.42 (95% CI: 1.02, 1.99) in quarti

183 DGAI quartile, albeit not as much as in the unhealthy obese group.

184 gorous physical activity between healthy and unhealthy obese groups by using both self-report and wri

185 ressive symptoms was higher in metabolically unhealthy obese individuals with two or more metabolic r

186 and omental adipocytes, and from healthy and unhealthy obese individuals, promoted comparable inflamm

187 core and other covariates, the metabolically unhealthy obese participants had elevated risk of depres

188 sceral adipose tissue (VAT) of metabolically unhealthy obese patients.

189 interval [CI], 1.22-1.37) and metabolically unhealthy obese subjects (MUO; HR, 1.33; 95% CI, 1.26-1.

190 endations (quartile 4) had a 53% lower OR of unhealthy obesity (P-trend < 0.0001).

191 Metabolically unhealthy obesity is associated with adipose tissue infl

192 Metabolically unhealthy obesity is associated with insulin resistance.

193 Metabolically unhealthy obesity was associated with higher depression

194 n implicated in development of metabolically unhealthy obesity, but the pathogenesis remains poorly c

195 ssociated with increasingly elevated ORs for unhealthy obesity, with individuals in quartile 4 having

196 it might drive development of metabolically unhealthy obesity.

197 gulated adipose remodelling in metabolically unhealthy obesity.

198 adaptive adipose expansion and metabolically unhealthy obesity.

199 molecular determinants of "healthy" versus "unhealthy" obesity remain ill-defined.

200 ersons engage in healthy behaviors and limit unhealthy ones.

201 ely to engage in healthy behaviors and avoid unhealthy ones.

202 ed both as absolute densities of healthy and unhealthy outlets, taken separately, and as a relative m

203 ight (BMI < 25 kg/m2), and (4) metabolically unhealthy/overweight (BMI >/= 25 kg/m2).

204 = 1.59, 95% CI 1.10-2.28) and metabolically unhealthy/overweight (OR = 1.40, 95% CI 1.01-1.94) parti

205 ight individuals compared with metabolically unhealthy/overweight individuals (OR = 0.69, 95% CI 0.49

206 I: 1.4 to 2.2) for metabolically healthy and unhealthy participants, respectively.

207 I: 1.7 to 2.3) among obese and metabolically unhealthy participants.

208 Compared with the unhealthy pattern, the healthy pattern reduced the risk

209 the healthy pattern and 52.1 (18.6) for the unhealthy pattern, with weak intercorrelation (r=-0.08)

210 h, fruits and vegetables, and olive oil; an "unhealthy" pattern with high factor loadings for red and

211 dividual functions, which conspire to create unhealthy phenotype-combinations.

212 ries of two papers, we discuss why slums are unhealthy places with especially high risks of infection

213 eliably detect methyl salicylate released by unhealthy plants.

214 ces, encouraging people to reassess existing unhealthy preferences at the point-of-purchase, and stim

215 ales with these concerns who use potentially unhealthy products to improve their physique are at incr

216 to dementia between 90 and 95 years; and an "unhealthy" profile with a peak probability of progressin

217 ifferences between known healthy samples and unhealthy samples.

218 The frequency of unhealthy snack consumption decreased from 2001 to 2008

219 From 2001 to 2008, the frequency of unhealthy snack consumption decreased from 6.9 to 4.6 ti

220 was significant in reducing the frequency of unhealthy snack consumption in children of parents witho

221 chool fruit program reduces the frequency of unhealthy snack consumption, and to explore differences

222 e changes in the frequency of consumption of unhealthy snacks (soda, candy, and potato chips) from 20

223 intake from sandwiches and from healthy and unhealthy snacks and dessert foods.

224 female adolescents consumed less energy from unhealthy snacks and more energy from healthy snacks whe

225 nd female children consumed less energy from unhealthy snacks when in the presence of their mothers t

226 asing the intake of FV reduces the intake of unhealthy snacks.

227 urological health progresses from healthy to unhealthy so too do the benefits of estrogen or hormone

228 reated healthy (fruit, vegetables, milk) and unhealthy (SSBs, fast food, sweets, salty snacks) diet s

229 Metabolically unhealthy status was associated with higher risk of all-

230 Although quality of care for unhealthy substance use in all medical settings needs to

231 ed candidate performance measures addressing unhealthy substance use in hospitalized patients.

232 (NK) cells discriminate between healthy and unhealthy target cells through a balance of activating a

233 indings highlight the importance of avoiding unhealthy toileting behaviours (especially premature voi

234 Unhealthy toileting behaviours (premature voiding, delay

235 Unhealthy toileting behaviours exist among women, and lo

236 Unhealthy toileting behaviours were common among the fem

237 ed voiding, and straining to void), as these unhealthy toileting behaviours were significantly associ

238 lefins would help minimize the production of unhealthy trans fats during the partial hydrogenation of

239 imals and plants, but also are the source of unhealthy trans fats during the processing of many foods

240 ion and has been attributed to averaging the unhealthy (vice) and healthy (virtue) foods leading to i

241 .3-9.6; for 1999, OR, 3.4; 95% CI, 1.7-6.7), unhealthy weight control behaviors (eg, use of laxatives

242 nking (P < .001 and P = .006, respectively), unhealthy weight control practices (P < .001, for both),

243 independently associated with substance use, unhealthy weight control, sexual risk behavior, pregnanc

244 ntation of programmes to monitor and prevent unhealthy weight gain in children and adolescents are ur

245 chronic diseases and disabilities or prevent unhealthy weight gain may benefit by exceeding the minim

246 new treatments and strategies for preventing unhealthy weight gain.

247 region responsivity did not predict initial unhealthy weight gain.

248 to be primarily a response of mothers to an unhealthy weight of their child rather than a cause of c

249 Adolescent dieting, unhealthy weight-control behaviors, and binge eating.

250 dolescents who were more likely to diet, use unhealthy weight-control behaviors, and engage in binge

251 g behaviors were less likely to diet and use unhealthy weight-control behaviors.

252 nt children were less likely to diet and use unhealthy weight-control behaviors.

253 servations that were considered to represent unhealthy weights for height.

254 ent at substantially lower concentrations in unhealthy whale sharks, suggesting that this metabolite

255 The patterns were termed unhealthy (white bread, processed meat, fries, and full-

256 in to define metabolic health, metabolically unhealthy women (insulin q3-4) were at higher risk of br